{"pageNumber":"547","pageRowStart":"13650","pageSize":"25","recordCount":165326,"records":[{"id":70217644,"text":"70217644 - 2020 - Systematics, evolution, and genetics of bears","interactions":[],"lastModifiedDate":"2021-01-26T13:46:18.705486","indexId":"70217644","displayToPublicDate":"2020-11-30T07:38:45","publicationYear":"2020","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"1","title":"Systematics, evolution, and genetics of bears","docAbstract":"<div class=\"panel chapter large-9 small-12 column main-column left\"><div class=\"reading-width\"><div class=\"chapter\"><div class=\"overview\"><div class=\"description\"><div class=\"summary\"><div class=\"abstract\" data-abstract-type=\"normal\"><p>Molecular genetics are key to understanding current and historical relationships between isolated populations, including species’ colonizations during glacial–interglacial cycles, to determine viability of local populations, needs for habitat corridors, and other aspects of population management, especially where bears are harvested for sport, etc. As natural habitats shrink, some bear species will inevitably require high levels of management, perhaps combining captive and wild populations following the IUCN’s One Plan Approach. In this chapter we review the systematics of the Ursidae and its relationships with other Carnivora, the molecular phylogenetic of extant ursid species, the phylogeography of and morphological variation within each species, and the use of molecular genetics to monitor bear populations for management and conservation.</p></div></div></div></div></div></div></div>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Bears of the world: Ecology, conservation and management","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Cambridge University Press","doi":"10.1017/9781108692571.002","usgsCitation":"Kitchener, A.C., Bellemain, E., Ding, X., Kopatz, A., Kutschera, V., Salomashkina, V., Ruiz-Garcia, M., Graves, T., Hou, Y., Werdelin, L., and Janke, A., 2020, Systematics, evolution, and genetics of bears, chap. 1 <i>of</i> Bears of the world: Ecology, conservation and management, p. 3-20, https://doi.org/10.1017/9781108692571.002.","productDescription":"18 p.","startPage":"3","endPage":"20","ipdsId":"IP-108483","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":382585,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kitchener, Andrew C","contributorId":248409,"corporation":false,"usgs":false,"family":"Kitchener","given":"Andrew","email":"","middleInitial":"C","affiliations":[{"id":49893,"text":"National Museums Scotland","active":true,"usgs":false}],"preferred":false,"id":809064,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bellemain, Eva","contributorId":248410,"corporation":false,"usgs":false,"family":"Bellemain","given":"Eva","email":"","affiliations":[{"id":49894,"text":"SPYGEN","active":true,"usgs":false}],"preferred":false,"id":809065,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ding, Xiang","contributorId":248411,"corporation":false,"usgs":false,"family":"Ding","given":"Xiang","email":"","affiliations":[{"id":49895,"text":"China West Normal University","active":true,"usgs":false}],"preferred":false,"id":809066,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kopatz, Alexander","contributorId":248412,"corporation":false,"usgs":false,"family":"Kopatz","given":"Alexander","email":"","affiliations":[{"id":33046,"text":"Norwegian Institute for Nature Research","active":true,"usgs":false}],"preferred":false,"id":809067,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kutschera, Verena","contributorId":248413,"corporation":false,"usgs":false,"family":"Kutschera","given":"Verena","email":"","affiliations":[{"id":37671,"text":"Uppsala University","active":true,"usgs":false}],"preferred":false,"id":809068,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Salomashkina, Valentina","contributorId":248415,"corporation":false,"usgs":false,"family":"Salomashkina","given":"Valentina","email":"","affiliations":[{"id":49898,"text":"Russian Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":809070,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ruiz-Garcia, Manuel","contributorId":248416,"corporation":false,"usgs":false,"family":"Ruiz-Garcia","given":"Manuel","email":"","affiliations":[{"id":49899,"text":"Instituto Nacional de Biodiversidad, Quito","active":true,"usgs":false}],"preferred":false,"id":809071,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Graves, Tabitha A. 0000-0001-5145-2400","orcid":"https://orcid.org/0000-0001-5145-2400","contributorId":202084,"corporation":false,"usgs":true,"family":"Graves","given":"Tabitha A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":809072,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hou, Yiling","contributorId":248437,"corporation":false,"usgs":false,"family":"Hou","given":"Yiling","email":"","affiliations":[],"preferred":false,"id":809132,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Werdelin, Lars","contributorId":248417,"corporation":false,"usgs":false,"family":"Werdelin","given":"Lars","email":"","affiliations":[{"id":49895,"text":"China West Normal University","active":true,"usgs":false}],"preferred":false,"id":809073,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Janke, Axel","contributorId":248414,"corporation":false,"usgs":false,"family":"Janke","given":"Axel","email":"","affiliations":[{"id":49897,"text":"Goethe University Frankfurt","active":true,"usgs":false}],"preferred":false,"id":809133,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70216731,"text":"70216731 - 2020 - An analysis of streamflow trends in the southern and southeastern US from 1950-2015","interactions":[],"lastModifiedDate":"2020-12-03T13:55:04.548935","indexId":"70216731","displayToPublicDate":"2020-11-29T07:46:25","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"An analysis of streamflow trends in the southern and southeastern US from 1950-2015","docAbstract":"<div class=\"art-abstract in-tab hypothesis_container\">In this article, the mean daily streamflow at 139 streamflow-gaging stations (sites) in the southern and southeastern United States are analyzed for spatial and temporal patterns. One hundred and thirty-nine individual time-series of mean daily streamflow were reduced to five aggregated time series of Z scores for clusters of sites with similar temporal variability. These aggregated time-series correlated significantly with a time-series of several climate indices for the period 1950–2015. The mean daily streamflow data were subset into six time periods—starting in 1950, 1960, 1970, 1980, 1990, and 2000, and each ending in 2015, to determine how streamflow trends at individual sites acted over time. During the period 1950–2015, mean monthly and seasonal streamflow decreased at many sites based on results from traditional Mann–Kendall trend analyses, as well as results from a new analysis (Quantile-Kendall) that summarizes trends across the full range of streamflows. A trend departure index used to compare results from non-reference with reference sites identified that streamflow trends at 88% of the study sites have been influenced by non-climatic factors (such as land- and water-management practices) and that the majority of these sites were located in Texas, Louisiana, and Georgia. Analysis of the results found that for sites throughout the study area that were influenced primarily by climate rather than human activities, the step increase in streamflow in 1970 documented in previous studies was offset by subsequent monotonic decreases in streamflow between 1970 and 2015.<span>&nbsp;</span><a onclick=\"if (!window.__cfRLUnblockHandlers) return false; ga('send', 'pageview', $(this).attr('href'));\" href=\"https://www.mdpi.com/2073-4441/12/12/3345/htm\" data-mce-href=\"https://www.mdpi.com/2073-4441/12/12/3345/htm\">View Full-Text</a></div>","language":"English","publisher":"MDPI","doi":"10.3390/w12123345","usgsCitation":"Rodgers, K., Roland, V.L., Hoos, A.B., Crowley-Ornelas, E., and Knight, R., 2020, An analysis of streamflow trends in the southern and southeastern US from 1950-2015: Water, v. 12, no. 12, 3345, 28 p., https://doi.org/10.3390/w12123345.","productDescription":"3345, 28 p.","ipdsId":"IP-112714","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":454730,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w12123345","text":"Publisher Index Page"},{"id":436709,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ASCZER","text":"USGS data release","linkHelpText":"Trend Departure Index Results for sites in the RESTORE Trend Analysis and Hydrologic Alteration Studies"},{"id":436708,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ASCZER","text":"USGS data release","linkHelpText":"Trend Departure Index Results for sites in the RESTORE Trend Analysis and Hydrologic Alteration Studies"},{"id":380946,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Arkansas, Florida, Georgia, Louisiana, Mississippi, Tennessee, Texas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.298828125,\n              26.194876675795218\n            ],\n            [\n              -81.474609375,\n              29.305561325527698\n            ],\n            [\n              -82.177734375,\n              30.751277776257812\n            ],\n            [\n              -84.19921875,\n              32.69486597787505\n            ],\n            [\n              -84.462890625,\n              34.813803317113155\n            ],\n            [\n              -85.517578125,\n              34.813803317113155\n            ],\n            [\n              -87.1875,\n              34.23451236236987\n            ],\n            [\n              -89.296875,\n              33.94335994657882\n            ],\n            [\n              -89.20898437499999,\n              34.59704151614417\n            ],\n            [\n              -88.24218749999999,\n              35.31736632923788\n            ],\n            [\n              -88.505859375,\n              36.73888412439431\n            ],\n            [\n              -89.736328125,\n              37.85750715625203\n            ],\n            [\n              -92.373046875,\n              35.38904996691167\n            ],\n            [\n              -94.04296874999999,\n              35.10193405724606\n            ],\n            [\n              -96.240234375,\n              30.675715404167743\n            ],\n            [\n              -98.701171875,\n              28.07198030177986\n            ],\n            [\n              -97.998046875,\n              26.194876675795218\n            ],\n            [\n              -97.470703125,\n              25.958044673317843\n            ],\n            [\n              -95.80078125,\n              27.994401411046148\n            ],\n            [\n              -92.63671875,\n              28.844673680771795\n            ],\n            [\n              -89.033203125,\n              28.76765910569123\n            ],\n            [\n              -87.36328125,\n              29.38217507514529\n            ],\n            [\n              -84.638671875,\n              28.38173504322308\n            ],\n            [\n              -81.298828125,\n              26.194876675795218\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"12","issue":"12","noUsgsAuthors":false,"publicationDate":"2020-11-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Rodgers, Kirk D. 0000-0003-4322-2781","orcid":"https://orcid.org/0000-0003-4322-2781","contributorId":203438,"corporation":false,"usgs":true,"family":"Rodgers","given":"Kirk D.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":806004,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roland, Victor L. II 0000-0002-6260-9351 vroland@usgs.gov","orcid":"https://orcid.org/0000-0002-6260-9351","contributorId":212248,"corporation":false,"usgs":true,"family":"Roland","given":"Victor","suffix":"II","email":"vroland@usgs.gov","middleInitial":"L.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":806005,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoos, Anne B. 0000-0001-9845-7831","orcid":"https://orcid.org/0000-0001-9845-7831","contributorId":207575,"corporation":false,"usgs":true,"family":"Hoos","given":"Anne","email":"","middleInitial":"B.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":806006,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crowley-Ornelas, Elena 0000-0002-1823-8485","orcid":"https://orcid.org/0000-0002-1823-8485","contributorId":211970,"corporation":false,"usgs":true,"family":"Crowley-Ornelas","given":"Elena","email":"","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":806007,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Knight, Rodney 0000-0001-9588-0167 rrknight@usgs.gov","orcid":"https://orcid.org/0000-0001-9588-0167","contributorId":152422,"corporation":false,"usgs":true,"family":"Knight","given":"Rodney","email":"rrknight@usgs.gov","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":true,"id":806008,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70216691,"text":"70216691 - 2020 - colorspace: A toolbox for manipulating and assessing colors and palettes","interactions":[],"lastModifiedDate":"2020-12-01T13:30:32.548807","indexId":"70216691","displayToPublicDate":"2020-11-29T07:27:51","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2465,"text":"Journal of Statistical Software","active":true,"publicationSubtype":{"id":10}},"title":"colorspace: A toolbox for manipulating and assessing colors and palettes","docAbstract":"<table class=\"data mce-item-table\" border=\"0\" width=\"100%\"><tbody><tr valign=\"top\"><td class=\"value\" width=\"85%\">The R package colorspace provides a flexible toolbox for selecting individual colors or color palettes, manipulating these colors, and employing them in statistical graphics and data visualizations. In particular, the package provides a broad range of color palettes based on the HCL (hue-chroma-luminance) color space. The three HCL dimensions have been shown to match those of the human visual system very well, thus facilitating intuitive selection of color palettes through trajectories in this space. Using the HCL color model, general strategies for three types of palettes are implemented: (1) Qualitative for coding categorical information, i.e., where no particular ordering of categories is available. (2) Sequential for coding ordered/numeric information, i.e., going from high to low (or vice versa). (3) Diverging for coding ordered/numeric information around a central neutral value, i.e., where colors diverge from neutral to two extremes. To aid selection and application of these palettes, the package also contains scales for use with ggplot2, shiny and tcltk apps for interactive exploration, visualizations of palette properties, accompanying manipulation utilities (like desaturation and lighten/darken), and emulation of color vision deficiencies. The shiny apps are also hosted online at http://hclwizard.org/.</td></tr></tbody></table>","language":"English","publisher":"Foundation of Open Access Statistics","doi":"10.18637/jss.v096.i01","usgsCitation":"Zeileis, A., Fisher, J.C., Hornik, K., Ihaka, R., McWhite, C.D., Murrell, P., Stauffer, R., and Wilke, C.O., 2020, colorspace: A toolbox for manipulating and assessing colors and palettes: Journal of Statistical Software, v. 96, no. 1, 49 p., https://doi.org/10.18637/jss.v096.i01.","productDescription":"49 p.","ipdsId":"IP-107096","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":454733,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.18637/jss.v096.i01","text":"Publisher Index Page"},{"id":380906,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"96","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zeileis, Achim","contributorId":245311,"corporation":false,"usgs":false,"family":"Zeileis","given":"Achim","email":"","affiliations":[{"id":49146,"text":"Universität Innsbruck","active":true,"usgs":false}],"preferred":false,"id":805894,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fisher, Jason C. 0000-0001-9032-8912 jfisher@usgs.gov","orcid":"https://orcid.org/0000-0001-9032-8912","contributorId":2523,"corporation":false,"usgs":true,"family":"Fisher","given":"Jason","email":"jfisher@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":805895,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hornik, Kurt","contributorId":245312,"corporation":false,"usgs":false,"family":"Hornik","given":"Kurt","email":"","affiliations":[{"id":49147,"text":"WU Wirtschafts- universität Wien","active":true,"usgs":false}],"preferred":false,"id":805896,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ihaka, Ross","contributorId":245313,"corporation":false,"usgs":false,"family":"Ihaka","given":"Ross","email":"","affiliations":[{"id":38833,"text":"University of Auckland","active":true,"usgs":false}],"preferred":false,"id":805897,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McWhite, Claire D.","contributorId":245314,"corporation":false,"usgs":false,"family":"McWhite","given":"Claire","email":"","middleInitial":"D.","affiliations":[{"id":29861,"text":"The University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":805898,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Murrell, Paul","contributorId":245315,"corporation":false,"usgs":false,"family":"Murrell","given":"Paul","email":"","affiliations":[{"id":38833,"text":"University of Auckland","active":true,"usgs":false}],"preferred":false,"id":805899,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stauffer, Reto","contributorId":245316,"corporation":false,"usgs":false,"family":"Stauffer","given":"Reto","email":"","affiliations":[{"id":49146,"text":"Universität Innsbruck","active":true,"usgs":false}],"preferred":false,"id":805900,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wilke, Claus O.","contributorId":245317,"corporation":false,"usgs":false,"family":"Wilke","given":"Claus","email":"","middleInitial":"O.","affiliations":[{"id":29861,"text":"The University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":805901,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70216777,"text":"70216777 - 2020 - The new Landsat Collection-2 Digital Elevation Model","interactions":[],"lastModifiedDate":"2020-12-07T16:01:13.585843","indexId":"70216777","displayToPublicDate":"2020-11-28T09:57:43","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"The new Landsat Collection-2 Digital Elevation Model","docAbstract":"<p><span>The Landsat Collection-2 distribution introduces a new global Digital Elevation Model (DEM) for scene orthorectification. The new global DEM is a composite of the latest and most accurate freely available DEM sources and will include reprocessed Shuttle Radar Topographic Mission (SRTM) data (called NASADEM), high-resolution stereo optical data (ArcticDEM), a new National Elevation Dataset (NED) and various publicly available national datasets including the Canadian Digital Elevation Model (CDEM) and DEMs for Sweden, Norway and Finland (SNF). The new DEM will be available world-wide with few exceptions. It is anticipated that the transition from the Collection-1 DEM at 3 arcsecond to the new DEM will be seamless because processing methods to maintain a seamless transition were employed, void filling techniques were used, where persistent gaps were found, and the pixel spacing is the same between the two collections. Improvements to the vertical accuracy were realized by differencing accuracies of other elevation datasets to the new DEM. The greatest improvement occurred where ArcticDEM data were used, where an improvement of 35 m was measured. By using theses improved vertical values in a line of sight algorithm, horizontal improvements were noted in some of the most mountainous regions over multiple 30-m Landsat pixels. This new DEM will be used to process all of the scenes from Landsat 1-8 in Collection-2 processing and will be made available to the public by the end of 2020.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/rs12233909","usgsCitation":"Franks, S., Storey, J., and Rengarajan, R., 2020, The new Landsat Collection-2 Digital Elevation Model: Remote Sensing, v. 12, no. 23, 3909, 24 p., https://doi.org/10.3390/rs12233909.","productDescription":"3909, 24 p.","ipdsId":"IP-123106","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":454735,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs12233909","text":"Publisher Index Page"},{"id":381037,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"23","noUsgsAuthors":false,"publicationDate":"2020-11-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Franks, Shannon 0000-0003-1335-5401","orcid":"https://orcid.org/0000-0003-1335-5401","contributorId":245457,"corporation":false,"usgs":false,"family":"Franks","given":"Shannon","email":"","affiliations":[{"id":49197,"text":"KBR, Contractor to NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":806216,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Storey, James C. 0000-0002-6664-7232","orcid":"https://orcid.org/0000-0002-6664-7232","contributorId":242015,"corporation":false,"usgs":false,"family":"Storey","given":"James C.","affiliations":[{"id":48475,"text":"KBR, Contractor to USGS EROS","active":true,"usgs":false}],"preferred":false,"id":806217,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rengarajan, Rajagopalan 0000-0003-1860-7110","orcid":"https://orcid.org/0000-0003-1860-7110","contributorId":242014,"corporation":false,"usgs":false,"family":"Rengarajan","given":"Rajagopalan","affiliations":[{"id":48475,"text":"KBR, Contractor to USGS EROS","active":true,"usgs":false}],"preferred":false,"id":806218,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70217289,"text":"70217289 - 2020 - Conservation genomics of the threatened western spadefoot, Spea hammondii, in urbanized southern California","interactions":[],"lastModifiedDate":"2022-10-31T13:53:17.489772","indexId":"70217289","displayToPublicDate":"2020-11-27T07:58:58","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2333,"text":"Journal of Heredity","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Conservation genomics of the threatened western spadefoot, <i>Spea hammondii</i>, in urbanized southern California","title":"Conservation genomics of the threatened western spadefoot, Spea hammondii, in urbanized southern California","docAbstract":"<p class=\"chapter-para\">Populations of the western spadefoot (<i>Spea hammondii</i>) in southern California occur in one of the most urbanized and fragmented landscapes on the planet and have lost up to 80% of their native habitat. Orange County is one of the last strongholds for this pond-breeding amphibian in the region, and ongoing restoration efforts targeting<span>&nbsp;</span><i>S. hammondii</i><span>&nbsp;</span>have involved habitat protection and the construction of artificial breeding ponds. These efforts have successfully increased breeding activity, but genetic characterization of the populations, including estimates of effective population size and admixture between the gene pools of constructed artificial and natural ponds, has never been undertaken. Using thousands of genome-wide single-nucleotide polymorphisms, we characterized the population structure, genetic diversity, and genetic connectivity of spadefoots in Orange County to guide ongoing and future management efforts. We identified at least two, and possibly three major genetic clusters, with additional substructure within clusters indicating that individual ponds are often genetically distinct. Estimates of landscape resistance suggest that ponds on either side of the Los Angeles Basin were likely interconnected historically but intense urban development has rendered them essentially isolated, and the resulting risk of interruption to natural metapopulation dynamics appears to be high. Resistance surfaces show that the existing artificial ponds were well-placed and connected to natural populations by low-resistance corridors. Toad samples from all ponds (natural and artificial) returned extremely low estimates of effective population size, possibly due to a bottleneck caused by a recent multi-year drought. Management efforts should focus on maintaining gene flow among natural and artificial ponds by both assisted migration and construction of new ponds to bolster the existing pond network in the region.</p>","language":"English","publisher":"Oxford University Press","doi":"10.1093/jhered/esaa049","usgsCitation":"Neal, K.M., Fisher, R.N., Mitrovich, M.J., and Shaffer, H., 2020, Conservation genomics of the threatened western spadefoot, Spea hammondii, in urbanized southern California: Journal of Heredity, v. 111, no. 7, p. 613-627, https://doi.org/10.1093/jhered/esaa049.","productDescription":"15 p.","startPage":"613","endPage":"627","ipdsId":"IP-124490","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":454737,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jhered/esaa049","text":"Publisher Index Page"},{"id":382259,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Orange 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Kevin M","contributorId":247759,"corporation":false,"usgs":false,"family":"Neal","given":"Kevin","email":"","middleInitial":"M","affiliations":[{"id":12763,"text":"University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":808292,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":808293,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mitrovich, Milan J. 0000-0001-6053-1143","orcid":"https://orcid.org/0000-0001-6053-1143","contributorId":207272,"corporation":false,"usgs":false,"family":"Mitrovich","given":"Milan","email":"","middleInitial":"J.","affiliations":[{"id":37506,"text":"San Diego State University; former USGS employee","active":true,"usgs":false}],"preferred":false,"id":808294,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shaffer, H. Bradley","contributorId":247762,"corporation":false,"usgs":false,"family":"Shaffer","given":"H. Bradley","affiliations":[{"id":12763,"text":"University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":808295,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70217099,"text":"70217099 - 2020 - Lateral carbon exports from drained peatlands: An understudied carbon pathway in the Sacramento-San Joaquin Delta, California","interactions":[],"lastModifiedDate":"2021-01-06T13:29:43.897973","indexId":"70217099","displayToPublicDate":"2020-11-27T07:24:14","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Lateral carbon exports from drained peatlands: An understudied carbon pathway in the Sacramento-San Joaquin Delta, California","docAbstract":"<p><span>Degradation of peatlands via drainage is increasing globally and destabilizing peat carbon (C) stores. The effects of drainage on the timing and magnitude of lateral C losses from degraded peatlands remains understudied. We measured spatial and temporal variability in lateral C exports from three drained peat islands in the Sacramento‐San Joaquin Delta in California across the 2017 and 2018 water years using measurements of dissolved inorganic C (DIC), dissolved organic C (DOC), and suspended particulate organic C (POC) concentration combined with discharge. These measurements were supplemented with stable isotope data (δ</span><sup>13</sup><span>C‐DIC, δ</span><sup>13</sup><span>C‐POC, δ</span><sup>15</sup><span>N‐PON, and δ</span><sup>2</sup><span>H‐H</span><sub>2</sub><span>O values) to provide insight into hydrological and biogeochemical controls on lateral C exports from drained peatlands. Drainage DOC and DIC concentrations were seasonally variable with the highest values in the winter rainy season, when discharge was also elevated. Seasonal differences in the mobilization of dissolved C appeared to result from changing water sources and water table levels. Peat island drainage C contributions to surrounding waterways were also greatest during the winter. Although temporal variability in C cycling processes and trends were generally similar across islands, baseline drainage DIC, DOC, and POC concentrations were spatially variable, likely a result of sub‐island‐scale differences in soil organic matter content and hydrology. This spatial variability complicates system‐wide assessments of C budgets. Net lateral C exports were water year dependent and comparable to previously published vertical C emission rates for this system. This work highlights the importance of including lateral C exports from drained peatlands in local and regional C budgets.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020JG005883","usgsCitation":"Richardson, C.M., Fackrell, J.K., Kraus, T.E., Young, M.B., and Paytan, A., 2020, Lateral carbon exports from drained peatlands: An understudied carbon pathway in the Sacramento-San Joaquin Delta, California: Journal of Geophysical Research: Biogeosciences, v. 125, no. 12, e2020JG005883, 21 p., https://doi.org/10.1029/2020JG005883.","productDescription":"e2020JG005883, 21 p.","ipdsId":"IP-119742","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":467269,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/37323","text":"External Repository"},{"id":381943,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.200927734375,\n              37.98100996893789\n            ],\n            [\n              -121.68731689453125,\n              37.98100996893789\n            ],\n            [\n              -121.68731689453125,\n              38.225235239076824\n            ],\n            [\n              -122.200927734375,\n              38.225235239076824\n            ],\n            [\n              -122.200927734375,\n              37.98100996893789\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"125","issue":"12","noUsgsAuthors":false,"publicationDate":"2020-12-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Richardson, Christina M. 0000-0003-0597-8836","orcid":"https://orcid.org/0000-0003-0597-8836","contributorId":147438,"corporation":false,"usgs":false,"family":"Richardson","given":"Christina","email":"","middleInitial":"M.","affiliations":[{"id":6948,"text":"UC Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":807604,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fackrell, Joseph K. 0000-0001-8148-3734","orcid":"https://orcid.org/0000-0001-8148-3734","contributorId":225515,"corporation":false,"usgs":true,"family":"Fackrell","given":"Joseph","email":"","middleInitial":"K.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":807605,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kraus, Tamara E. C. 0000-0002-5187-8644 tkraus@usgs.gov","orcid":"https://orcid.org/0000-0002-5187-8644","contributorId":147560,"corporation":false,"usgs":true,"family":"Kraus","given":"Tamara","email":"tkraus@usgs.gov","middleInitial":"E. C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":807606,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Young, Megan B. 0000-0002-0229-4108 mbyoung@usgs.gov","orcid":"https://orcid.org/0000-0002-0229-4108","contributorId":3315,"corporation":false,"usgs":true,"family":"Young","given":"Megan","email":"mbyoung@usgs.gov","middleInitial":"B.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":807607,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Paytan, Adina 0000-0001-8360-4712","orcid":"https://orcid.org/0000-0001-8360-4712","contributorId":193046,"corporation":false,"usgs":false,"family":"Paytan","given":"Adina","email":"","affiliations":[],"preferred":false,"id":807608,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70240902,"text":"70240902 - 2020 - Evidence of spawning by lake trout Salvelinus namaycush on substrates at the base of large boulders in northern Lake Huron","interactions":[],"lastModifiedDate":"2023-03-01T12:39:03.288748","indexId":"70240902","displayToPublicDate":"2020-11-27T06:36:06","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Evidence of spawning by lake trout Salvelinus namaycush on substrates at the base of large boulders in northern Lake Huron","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-gulliver text-s\"><div id=\"ab005\" class=\"abstract author\" lang=\"en\"><div id=\"as005\"><p id=\"sp0005\"><span>Identification of lake trout spawning sites has focused on cobble substrates associated with bathymetric relief (e.g., ‘contour’ or ‘slope’ along reefs), but this ‘model’ may be narrow in scope. Previous&nbsp;telemetry&nbsp;work conducted near Drummond Island, USA,&nbsp;Lake Huron, identified egg presence in substrates at the base of large boulders (&gt;1 m diameter); however, the extent of this phenomenon was unknown. Telemetry data paired with multi-beam&nbsp;bathymetry&nbsp;identified a 0.63&nbsp;km</span><sup>2</sup><span>&nbsp;area used by lake trout characterized by low bathymetric relief and numerous (~269) large boulders (&gt;1&nbsp;m diameter) with small-diameter substrates at their bases. Diver surveys revealed egg presence at all 40 boulders surveyed, exclusively associated with clean gravel-cobble (0.6–42&nbsp;cm) substrates in undercut areas beneath overhanging edges of boulders and in narrow spaces between adjacent boulders. Egg presence was not associated with boulder or substrate physical characteristics which highlighted the possible importance of&nbsp;interstitial&nbsp;currents. Successful incubation in these habitats was inferred by capture of free embryos and post-embryos the following spring using traps and an&nbsp;electrofishing&nbsp;ROV although at lower densities than at popular spawning habitats nearby (1–3&nbsp;km away). Free embryos and post-embryos were also caught where eggs were not observed the previous fall including unexpectedly on top of boulders which suggested that post-hatch stages may move more than previously thought. Extensive use of boulder-associated habitats for spawning, egg incubation, and early growth suggested this undescribed habitat type may provide an unanticipated contribution to total available lake trout spawning habitat and recruitment in the Great Lakes.</span></p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2020.09.015","usgsCitation":"Farha, S., Binder, T., Bronte, C.R., Hayes, D., Janssen, J., Marsden, J.E., Riley, S., and Krueger, C.C., 2020, Evidence of spawning by lake trout Salvelinus namaycush on substrates at the base of large boulders in northern Lake Huron: Journal of Great Lakes Research, v. 46, no. 6, p. 1674-1688, https://doi.org/10.1016/j.jglr.2020.09.015.","productDescription":"15 p.","startPage":"1674","endPage":"1688","ipdsId":"IP-117778","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":454739,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2020.09.015","text":"Publisher Index Page"},{"id":413523,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Huron","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -83.71767316871257,\n              45.96722561981173\n            ],\n            [\n              -83.71767316871257,\n              45.909948367766816\n            ],\n            [\n              -83.58589319556921,\n              45.909948367766816\n            ],\n            [\n              -83.58589319556921,\n              45.96722561981173\n            ],\n            [\n              -83.71767316871257,\n              45.96722561981173\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"46","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Farha, Steve A. 0000-0001-9953-6996 sfarha@usgs.gov","orcid":"https://orcid.org/0000-0001-9953-6996","contributorId":5170,"corporation":false,"usgs":true,"family":"Farha","given":"Steve A.","email":"sfarha@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":865248,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Binder, Thomas 0000-0001-9266-9120 tbinder@usgs.gov","orcid":"https://orcid.org/0000-0001-9266-9120","contributorId":4958,"corporation":false,"usgs":true,"family":"Binder","given":"Thomas","email":"tbinder@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":865249,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bronte, Charles R.","contributorId":190727,"corporation":false,"usgs":false,"family":"Bronte","given":"Charles","email":"","middleInitial":"R.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":865250,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hayes, Daniel B.","contributorId":248252,"corporation":false,"usgs":false,"family":"Hayes","given":"Daniel B.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":865251,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Janssen, John","contributorId":195543,"corporation":false,"usgs":false,"family":"Janssen","given":"John","affiliations":[{"id":13324,"text":"University of Wisconsin Milwaukee","active":true,"usgs":false}],"preferred":false,"id":865252,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Marsden, J. Ellen 0000-0002-4573-5751","orcid":"https://orcid.org/0000-0002-4573-5751","contributorId":302190,"corporation":false,"usgs":false,"family":"Marsden","given":"J.","email":"","middleInitial":"Ellen","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":865253,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Riley, Stephen 0000-0002-8968-8416","orcid":"https://orcid.org/0000-0002-8968-8416","contributorId":236841,"corporation":false,"usgs":false,"family":"Riley","given":"Stephen","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":865254,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Krueger, Charles C. 0000-0002-6735-5012","orcid":"https://orcid.org/0000-0002-6735-5012","contributorId":274493,"corporation":false,"usgs":false,"family":"Krueger","given":"Charles","email":"","middleInitial":"C.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":865255,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70260138,"text":"70260138 - 2020 - Aeolian remobilisation of volcanic ash: Outcomes of a workshop in the Argentinian Patagonia","interactions":[],"lastModifiedDate":"2024-10-29T14:59:29.066734","indexId":"70260138","displayToPublicDate":"2020-11-26T09:52:27","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5232,"text":"Frontiers in Earth Science","onlineIssn":"2296-6463","active":true,"publicationSubtype":{"id":10}},"title":"Aeolian remobilisation of volcanic ash: Outcomes of a workshop in the Argentinian Patagonia","docAbstract":"<p><span>During explosive volcanic eruptions, large quantities of tephra can be dispersed and deposited over wide areas. Following deposition, subsequent aeolian remobilisation of ash can potentially exacerbate primary impacts on timescales of months to millennia. Recent ash remobilisation events (e.g., following eruptions of Cordón Caulle 2011; Chile, and Eyjafjallajökull 2010, Iceland) have highlighted this to be a recurring phenomenon with consequences for human health, economic sectors, and critical infrastructure. Consequently, scientists from observatories and Volcanic Ash Advisory Centers (VAACs), as well as researchers from fields including volcanology, aeolian processes and soil sciences, convened at the San Carlos de Bariloche headquarters of the Argentinian National Institute of Agricultural Technology to discuss the “state of the art” for field studies of remobilised deposits as well as monitoring, modeling and understanding ash remobilisation. In this article, we identify practices for field characterisation of deposits and active processes, including mapping, particle characterisation and sediment traps. Furthermore, since forecast models currently rely on poorly-constrained dust emission schemes, we call for laboratory and field measurements to better parameterise the flux of volcanic ash as a function of friction velocity. While source area location and extent are currently the primary inputs for dispersion models, once emission schemes become more sophisticated and better constrained, other parameters will also become important (e.g., source material volume and properties, effective precipitation, type and distribution of vegetation cover, friction velocity). Thus, aeolian ash remobilisation hazard and associated impact assessment require systematic monitoring, including the development of a regularly-updated spatial database of resuspension source areas.</span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/feart.2020.575184","usgsCitation":"Jarvis, P.A., Bonadonna, C., Dominguez, L., Forte, P., Frischknecht, C., Bran, D., Aguilar, R., Beckett, F., Elissondo, M., Gillies, J., Kueppers, U., Merrison, J., Varley, N., and Wallace, K.L., 2020, Aeolian remobilisation of volcanic ash: Outcomes of a workshop in the Argentinian Patagonia: Frontiers in Earth Science, v. 8, 575184, 9 p., https://doi.org/10.3389/feart.2020.575184.","productDescription":"575184, 9 p.","ipdsId":"IP-120112","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467270,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2020.575184","text":"Publisher Index Page"},{"id":463343,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","noUsgsAuthors":false,"publicationDate":"2020-11-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Jarvis, Paul A.","contributorId":345634,"corporation":false,"usgs":false,"family":"Jarvis","given":"Paul","email":"","middleInitial":"A.","affiliations":[{"id":82666,"text":"Department of Earth Sciences, University of Geneva, Geneva, Switzerland","active":true,"usgs":false}],"preferred":false,"id":917147,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bonadonna, Costanza","contributorId":345635,"corporation":false,"usgs":false,"family":"Bonadonna","given":"Costanza","affiliations":[{"id":82666,"text":"Department of Earth Sciences, University of Geneva, Geneva, Switzerland","active":true,"usgs":false}],"preferred":false,"id":917148,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dominguez, Lucia","contributorId":345636,"corporation":false,"usgs":false,"family":"Dominguez","given":"Lucia","email":"","affiliations":[{"id":82666,"text":"Department of Earth Sciences, University of Geneva, Geneva, Switzerland","active":true,"usgs":false}],"preferred":false,"id":917149,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Forte, Pablo","contributorId":345637,"corporation":false,"usgs":false,"family":"Forte","given":"Pablo","affiliations":[{"id":82667,"text":"IDEAN (UBA-CONICET), Buenos Aires, Argentina","active":true,"usgs":false}],"preferred":false,"id":917150,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Frischknecht, Corine","contributorId":345638,"corporation":false,"usgs":false,"family":"Frischknecht","given":"Corine","email":"","affiliations":[{"id":82666,"text":"Department of Earth Sciences, University of Geneva, Geneva, Switzerland","active":true,"usgs":false}],"preferred":false,"id":917151,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bran, Donaldo","contributorId":345639,"corporation":false,"usgs":false,"family":"Bran","given":"Donaldo","affiliations":[{"id":82668,"text":"Institute of National Agricultural Technology, San Carlos de Bariloche, Argentina","active":true,"usgs":false}],"preferred":false,"id":917152,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Aguilar, Rigoberto","contributorId":345640,"corporation":false,"usgs":false,"family":"Aguilar","given":"Rigoberto","email":"","affiliations":[{"id":82669,"text":"INGEMMET, Observatorio Vulcanológico del INGEMMET, Arequipa, Peru","active":true,"usgs":false}],"preferred":false,"id":917153,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Beckett, Frances","contributorId":345641,"corporation":false,"usgs":false,"family":"Beckett","given":"Frances","affiliations":[{"id":36557,"text":"Met Office, Exeter, UK","active":true,"usgs":false}],"preferred":false,"id":917154,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Elissondo, Manuela","contributorId":345642,"corporation":false,"usgs":false,"family":"Elissondo","given":"Manuela","email":"","affiliations":[{"id":82670,"text":"Servicio Geológico Minero Argentino (SEGEMAR), Buenos Aires, Argentina","active":true,"usgs":false}],"preferred":false,"id":917155,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gillies, John","contributorId":345643,"corporation":false,"usgs":false,"family":"Gillies","given":"John","email":"","affiliations":[{"id":82671,"text":"Desert Research Institute, Reno, NV, USA","active":true,"usgs":false}],"preferred":false,"id":917156,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kueppers, Ulrich","contributorId":345644,"corporation":false,"usgs":false,"family":"Kueppers","given":"Ulrich","affiliations":[{"id":82672,"text":"Earth and Environmental Sciences, Ludwig-Maximillans-Universität München, Munich, Germany","active":true,"usgs":false}],"preferred":false,"id":917157,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Merrison, Jonathan","contributorId":345645,"corporation":false,"usgs":false,"family":"Merrison","given":"Jonathan","email":"","affiliations":[{"id":82673,"text":"Department of Physics and Astronomy, Aarhus University, Aarhus, Denmark","active":true,"usgs":false}],"preferred":false,"id":917158,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Varley, Nick","contributorId":345646,"corporation":false,"usgs":false,"family":"Varley","given":"Nick","affiliations":[{"id":82674,"text":"Facultad de Ciencias, Universidad de Colima, Colima, Mexico","active":true,"usgs":false}],"preferred":false,"id":917159,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Wallace, Kristi L. 0000-0002-0962-048X kwallace@usgs.gov","orcid":"https://orcid.org/0000-0002-0962-048X","contributorId":3454,"corporation":false,"usgs":true,"family":"Wallace","given":"Kristi","email":"kwallace@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917160,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70216842,"text":"70216842 - 2020 - Evaluating the impacts of foreshore sand and birds on microbiological contamination at a freshwater beach","interactions":[],"lastModifiedDate":"2020-12-10T12:47:42.117676","indexId":"70216842","displayToPublicDate":"2020-11-26T08:00:43","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the impacts of foreshore sand and birds on microbiological contamination at a freshwater beach","docAbstract":"<p><span>Beaches along the Great Lakes shorelines are important recreational and economic resources. However, contamination at the beaches can threaten their usage during the swimming season, potentially resulting in beach closures and/or advisories. Thus, understanding the dynamics that control nearshore water quality is integral to effective beach management. There have been significant improvements in this effort, including incorporating modeling (empirical, mechanistic) in recent years. Mechanistic modeling frameworks can contribute to this understanding of dynamics by determining sources and interactions that substantially impact fecal indicator bacteria concentrations, an index routinely used in water quality monitoring programs. To simulate&nbsp;</span><i>E. coli</i><span>&nbsp;concentrations at Jeorse Park beaches in southwest Lake Michigan, a coupled hydrodynamic and wave–current interaction model was developed that progressively added contaminant sources from river inputs, avian presence, bacteria–sediment interactions, and bacteria–sand–sediment interactions. Results indicated that riverine inputs affected&nbsp;</span><i>E. coli</i><span>&nbsp;concentrations at Jeorse Park beaches only marginally, while avian, shoreline sand, and sediment sources were much more substantial drivers of&nbsp;</span><i>E. coli</i><span>&nbsp;contamination at the beach. By including avian and riverine inputs, as well as bacteria–sand–sediment interactions at the beach, models can reasonably capture the variability in observed&nbsp;</span><i>E. coli</i><span>&nbsp;concentrations in nearshore water and bed sediments at Jeorse Park beaches. Consequently, it will be crucial to consider avian contamination sources and water-sand-sediment interactions in effective management of the beach for public health and as a recreational resource and to extend these findings to similar beaches affected by shoreline embayment.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.watres.2020.116671","usgsCitation":"Saffaie, A., Weiskerger, C.J., Nevers, M., Byappanahalli, M., and Phanikumar, M.S., 2020, Evaluating the impacts of foreshore sand and birds on microbiological contamination at a freshwater beach: Water Research, v. 190, 116671, 13 p., https://doi.org/10.1016/j.watres.2020.116671.","productDescription":"116671, 13 p.","ipdsId":"IP-120391","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":381163,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"Illlinois","city":"Chicago","otherGeospatial":"Jeorse Park Beach","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -87.440185546875,\n              41.64803176818231\n            ],\n            [\n              -87.43228912353514,\n              41.64803176818231\n            ],\n            [\n              -87.43228912353514,\n              41.656625449889276\n            ],\n            [\n              -87.440185546875,\n              41.656625449889276\n            ],\n            [\n              -87.440185546875,\n              41.64803176818231\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"190","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Saffaie, Ammar","contributorId":245601,"corporation":false,"usgs":false,"family":"Saffaie","given":"Ammar","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":806590,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weiskerger, Chelsea J.","contributorId":150865,"corporation":false,"usgs":false,"family":"Weiskerger","given":"Chelsea","email":"","middleInitial":"J.","affiliations":[{"id":18126,"text":"National Park Service, Indiana Dunes National Lakeshore","active":true,"usgs":false}],"preferred":false,"id":806591,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nevers, Meredith B. 0000-0001-6963-6734","orcid":"https://orcid.org/0000-0001-6963-6734","contributorId":201531,"corporation":false,"usgs":true,"family":"Nevers","given":"Meredith B.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":806592,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Byappanahalli, Muruleedhara 0000-0001-5376-597X byappan@usgs.gov","orcid":"https://orcid.org/0000-0001-5376-597X","contributorId":147923,"corporation":false,"usgs":true,"family":"Byappanahalli","given":"Muruleedhara","email":"byappan@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":806593,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Phanikumar, Mantha S.","contributorId":208872,"corporation":false,"usgs":false,"family":"Phanikumar","given":"Mantha","email":"","middleInitial":"S.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":806594,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70224312,"text":"70224312 - 2020 - Post-fire vegetation response in a repeatedly burned low-elevation sagebrush steppe protected area provides insights about resilience and invasion resistance","interactions":[],"lastModifiedDate":"2021-09-21T12:37:06.443373","indexId":"70224312","displayToPublicDate":"2020-11-26T07:33:24","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Post-fire vegetation response in a repeatedly burned low-elevation sagebrush steppe protected area provides insights about resilience and invasion resistance","docAbstract":"<div class=\"JournalAbstract\"><p>Sagebrush steppe ecosystems are threatened by human land-use legacies, biological invasions, and altered fire and climate dynamics. Steppe protected areas are therefore of heightened conservation importance but are few and vulnerable to the same impacts broadly affecting sagebrush steppe. To address this problem, sagebrush steppe conservation science is increasingly emphasizing a focus on resilience to fire and resistance to non-native annual grass invasion as a decision framework. It is well-established that the positive feedback loop between fire and annual grass invasion is the driving process of most contemporary steppe degradation. We use a newly developed ordinal zero-augmented beta regression model fit to large-sample vegetation monitoring data from John Day Fossil Beds National Monument, USA, spanning 7 years to evaluate fire responses of two native perennial foundation bunchgrasses and two non-native invasive annual grasses in a repeatedly burned, historically grazed, and inherently low-resilient protected area. We structured our model hierarchically to support inferences about variation among ecological site types and over time after also accounting for growing-season water deficit, fine-scale topographic variation, and burn severity. We use a state-and-transition conceptual diagram and abundances of plants listed in ecological site reference conditions to formalize our hypothesis of fire-accelerated transition to ecologically novel annual grassland. Notably, big sagebrush (<i>Artemisia tridentata</i>) and other woody species were entirely removed by fire. The two perennial grasses, bluebunch wheatgrass (<i>Pseudoroegneria spicata</i>) and Thurber's needlegrass (<i>Achnatherum thurberianum</i>) exhibited fire resiliency, with no apparent trend after fire. The two annual grasses, cheatgrass (<i>Bromus tectorum</i>) and medusahead (<i>Taeniatherum caput-medusae</i>), increased in response to burn severity, most notably medusahead. Surprisingly, we found no variation in grass cover among ecological sites, suggesting fire-driven homogenization as shrubs were removed and annual grasses became dominant. We found contrasting responses among all four grass species along gradients of topography and water deficit, informative to protected-area conservation strategies. The fine-grained influence of topography was particularly important to variation in cover among species and provides a foothold for conservation in low-resilient, aridic steppe. Broadly, our study demonstrates how to operationalize resilience and resistance concepts for protected areas by integrating empirical data with conceptual and statistical models.</p></div>","language":"English","publisher":"Frontiers","doi":"10.3389/fevo.2020.584726","usgsCitation":"Rodhouse, T., Irvine, K.M., and Bowersock, L., 2020, Post-fire vegetation response in a repeatedly burned low-elevation sagebrush steppe protected area provides insights about resilience and invasion resistance: Frontiers in Ecology and Evolution, v. 8, 584726, 14 p., https://doi.org/10.3389/fevo.2020.584726.","productDescription":"584726, 14 p.","ipdsId":"IP-121026","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":454742,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2020.584726","text":"Publisher Index Page"},{"id":389533,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.904296875,\n              44.11914151643734\n            ],\n            [\n              -118.80615234374999,\n              44.11914151643734\n            ],\n            [\n              -118.80615234374999,\n              45.69083283645816\n            ],\n            [\n              -121.904296875,\n              45.69083283645816\n            ],\n            [\n              -121.904296875,\n              44.11914151643734\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","noUsgsAuthors":false,"publicationDate":"2020-11-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Rodhouse, Tom","contributorId":265903,"corporation":false,"usgs":false,"family":"Rodhouse","given":"Tom","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":823690,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Irvine, Kathryn M. 0000-0002-6426-940X kirvine@usgs.gov","orcid":"https://orcid.org/0000-0002-6426-940X","contributorId":2218,"corporation":false,"usgs":true,"family":"Irvine","given":"Kathryn","email":"kirvine@usgs.gov","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":823691,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bowersock, Lisa","contributorId":265904,"corporation":false,"usgs":false,"family":"Bowersock","given":"Lisa","email":"","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":823692,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70216662,"text":"70216662 - 2020 - Towards the understanding of hydrogeochemical seismic responses in karst aquifers: A retrospective meta-analysis focused on the Apennines (Italy)","interactions":[],"lastModifiedDate":"2020-11-27T15:19:23.675338","indexId":"70216662","displayToPublicDate":"2020-11-26T06:48:17","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5207,"text":"Minerals","active":true,"publicationSubtype":{"id":10}},"title":"Towards the understanding of hydrogeochemical seismic responses in karst aquifers: A retrospective meta-analysis focused on the Apennines (Italy)","docAbstract":"<p><span>Earthquakes are known to affect groundwater properties, yet the mechanisms causing chemical and physical aquifer changes are still unclear. The Apennines mountain belt in Italy presents a rich literature of case studies documenting hydrogeochemical response to seismicity, due to the high frequency of seismic events and the presence of different regional aquifers in the area. In this study, we synthesize published data from the last 30 years in the Apennine region in order to shed light on the main mechanisms causing earthquake induced water changes. The results suggest the geologic and hydrologic setting specific to a given spring play an important role in spring response, as well as the timing of the observed response. In contrast to setting, the main focal mechanisms of earthquake and the distance between epicenter and the analyzed springs seems to present a minor role in defining the response. The analysis of different response variables, moreover, indicates that an important driver of change is the degassing of CO</span><sub>2</sub><span>, especially in thermal springs, whereas a rapid increase in solute concentration due to permeability enhancement is observable in different cold and shallow springs. These findings also leave open the debate regarding whether earthquake precursors can be recognized beyond site-specific responses. Such responses can be understood more comprehensively through the establishment of a regional long-term monitoring system and continuous harmonization of data and sampling strategies, achievable in the Apennine region through the set-up of a monitoring network.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/min10121058","usgsCitation":"Binda, G., Pozzi, A., Michetti, A., Noble, P., and Rosen, M.R., 2020, Towards the understanding of hydrogeochemical seismic responses in karst aquifers: A retrospective meta-analysis focused on the Apennines (Italy): Minerals, v. 10, no. 12, 1058, 28 p., https://doi.org/10.3390/min10121058.","productDescription":"1058, 28 p.","ipdsId":"IP-120991","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":454745,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/min10121058","text":"Publisher Index 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dell’Insubria","active":true,"usgs":false}],"preferred":false,"id":805790,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Michetti, Alessandro 0000-0002-1775-1340","orcid":"https://orcid.org/0000-0002-1775-1340","contributorId":206792,"corporation":false,"usgs":false,"family":"Michetti","given":"Alessandro","email":"","affiliations":[{"id":37402,"text":"Università degli Studi dell’Insubria","active":true,"usgs":false}],"preferred":false,"id":805791,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Noble, Paula","contributorId":198953,"corporation":false,"usgs":false,"family":"Noble","given":"Paula","affiliations":[{"id":33648,"text":"Department of Geological Sciences and Engineering, University of Nevada","active":true,"usgs":false}],"preferred":false,"id":805792,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":805793,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70217799,"text":"70217799 - 2020 - Ideas and perspectives: A strategic assessment of methane and nitrous oxide measurements in the marine environment","interactions":[],"lastModifiedDate":"2021-02-03T12:47:45.867425","indexId":"70217799","displayToPublicDate":"2020-11-26T06:41:16","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1011,"text":"Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Ideas and perspectives: A strategic assessment of methane and nitrous oxide measurements in the marine environment","docAbstract":"<p>&gt;In the current era of rapid climate change, accurate characterization of climate-relevant gas dynamics – namely production, consumption, and net emissions – is required for all biomes, especially those ecosystems most susceptible to the impact of change. Marine environments include regions that act as net sources or sinks for numerous climate-active trace gases including methane (CH4) and nitrous oxide (N2O). The temporal and spatial distributions of CH4 and N2O are controlled by the interaction of complex biogeochemical and physical processes. To evaluate and quantify how these mechanisms affect marine CH4 and N2O cycling requires a combination of traditional scientific disciplines including oceanography, microbiology, and numerical modeling. Fundamental to these efforts is ensuring that the datasets produced by independent scientists are comparable and interoperable. Equally critical is transparent communication within the research community about the technical improvements required to increase our collective understanding of marine CH4 and N2O. A workshop sponsored by Ocean Carbon and Biogeochemistry (OCB) was organized to enhance dialogue and collaborations pertaining to marine CH4 and N2O. Here, we summarize the outcomes from the workshop to describe the challenges and opportunities for near-future CH4 and N2O research in the marine environment.</p>","language":"English","publisher":"Copernicus","doi":"10.5194/bg-17-5809-2020","usgsCitation":"Wilson, S., Al-Haj, A., Bourbonnais, A., Frey, C., Fulweiler, R., Kessler, J.D., Marchant, H., Milucka, J., Ray, N., Suntharalingham, P., Thornton, B., Upstill-Goddard, R., Weber, T., Arévalo-Martínez, D., Bange, H., Benway, H., Bianchi, D., Borges, A., Chang, B., Crill, P., del Valle, D., Farias, L., Joye, S., Kock, A., Labidi, J., Manning, C., Pohlman, J., Rehder, G., Sparrow, K., Tortell, P., Truede, T., Valentine, D., Ward, B., Yang, S., and Yurganov, L., 2020, Ideas and perspectives: A strategic assessment of methane and nitrous oxide measurements in the marine environment: Biogeosciences, v. 17, no. 22, p. 5809-5828, https://doi.org/10.5194/bg-17-5809-2020.","productDescription":"20 p.","startPage":"5809","endPage":"5828","ipdsId":"IP-123280","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":454748,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/bg-17-5809-2020","text":"Publisher Index Page"},{"id":382916,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"22","noUsgsAuthors":false,"publicationDate":"2020-11-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Wilson, S.T.","contributorId":248724,"corporation":false,"usgs":false,"family":"Wilson","given":"S.T.","email":"","affiliations":[{"id":49988,"text":"University of Hawai’i at Manoa, Daniel K. Inouye Center for Microbial Oceanography","active":true,"usgs":false}],"preferred":false,"id":809756,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Al-Haj, A.N.","contributorId":248725,"corporation":false,"usgs":false,"family":"Al-Haj","given":"A.N.","email":"","affiliations":[{"id":49990,"text":"Boston University, Department of Earth and Environment, Massachusetts","active":true,"usgs":false}],"preferred":false,"id":809757,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bourbonnais, A.","contributorId":248726,"corporation":false,"usgs":false,"family":"Bourbonnais","given":"A.","email":"","affiliations":[{"id":49991,"text":"University of South Carolina, School of the Earth, Ocean and Environment, South Carolina","active":true,"usgs":false}],"preferred":false,"id":809758,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frey, C.","contributorId":248727,"corporation":false,"usgs":false,"family":"Frey","given":"C.","email":"","affiliations":[{"id":49992,"text":"University of Basel, Department of Environmental Science, Basel, Switzerland","active":true,"usgs":false}],"preferred":false,"id":809759,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fulweiler, R.W.","contributorId":248728,"corporation":false,"usgs":false,"family":"Fulweiler","given":"R.W.","email":"","affiliations":[{"id":49993,"text":"Boston University, Department of Biology, Massachusetts","active":true,"usgs":false}],"preferred":false,"id":809760,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kessler, John D. 0000-0003-1097-6800","orcid":"https://orcid.org/0000-0003-1097-6800","contributorId":184241,"corporation":false,"usgs":false,"family":"Kessler","given":"John","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":809761,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Marchant, H.K.","contributorId":248729,"corporation":false,"usgs":false,"family":"Marchant","given":"H.K.","email":"","affiliations":[{"id":49994,"text":"Max Planck Institute for Marine Microbiology, Department of Biogeochemistry, Bremen, Germany","active":true,"usgs":false}],"preferred":false,"id":809762,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Milucka, J","contributorId":248730,"corporation":false,"usgs":false,"family":"Milucka","given":"J","email":"","affiliations":[{"id":49994,"text":"Max Planck Institute for Marine Microbiology, Department of Biogeochemistry, Bremen, Germany","active":true,"usgs":false}],"preferred":false,"id":809763,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ray, N.E.","contributorId":248731,"corporation":false,"usgs":false,"family":"Ray","given":"N.E.","email":"","affiliations":[{"id":49993,"text":"Boston University, Department of Biology, Massachusetts","active":true,"usgs":false}],"preferred":false,"id":809764,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Suntharalingham, P","contributorId":248732,"corporation":false,"usgs":false,"family":"Suntharalingham","given":"P","email":"","affiliations":[{"id":49995,"text":"University of East Anglia, School of Environmental Sciences, Norwich, UK.","active":true,"usgs":false}],"preferred":false,"id":809765,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Thornton, B.F. 0000-0002-5640-6419","orcid":"https://orcid.org/0000-0002-5640-6419","contributorId":248733,"corporation":false,"usgs":false,"family":"Thornton","given":"B.F.","email":"","affiliations":[{"id":49996,"text":"Stockholm University, Department of Geological Sciences and Bolin Centre for Climate Research, Stockholm, Sweden","active":true,"usgs":false}],"preferred":false,"id":809766,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Upstill-Goddard, R.C.","contributorId":248734,"corporation":false,"usgs":false,"family":"Upstill-Goddard","given":"R.C.","affiliations":[{"id":49997,"text":"Newcastle University, School of Natural and Environmental Sciences, Newcastle upon Tyne, UK","active":true,"usgs":false}],"preferred":false,"id":809767,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Weber, T.S.","contributorId":248735,"corporation":false,"usgs":false,"family":"Weber","given":"T.S.","email":"","affiliations":[{"id":49998,"text":"University of Rochester, Department of Earth and Environmental Science, New York,","active":true,"usgs":false}],"preferred":false,"id":809768,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Arévalo-Martínez, D.L.","contributorId":248736,"corporation":false,"usgs":false,"family":"Arévalo-Martínez","given":"D.L.","affiliations":[{"id":49999,"text":"GEOMAR Helmholtz Centre for Ocean Research Kiel, Düsternbrooker Weg 20, 24105 Kiel, 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,{"id":70216589,"text":"sir20205108 - 2020 - Use of real-time sensors to temporally characterize water quality in groundwater and surface water in Mason County, Illinois, 2017–19","interactions":[],"lastModifiedDate":"2020-12-08T21:22:21.624144","indexId":"sir20205108","displayToPublicDate":"2020-11-25T14:35:48","publicationYear":"2020","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":"2020-5108","displayTitle":"Use of Real-Time Sensors to Temporally Characterize Water Quality in Groundwater and Surface Water in Mason County, Illinois, 2017–19","title":"Use of real-time sensors to temporally characterize water quality in groundwater and surface water in Mason County, Illinois, 2017–19","docAbstract":"<p>The persistence of high nitrate concentrations in shallow groundwater has been well documented in the shallow glacial aquifer of Mason County, Illinois. Nitrates in groundwater can be a concern when concentrations exceed 10 milligrams per liter in drinking water. Additionally, nitrate in groundwater can contribute to surface water nitrogen loads that can cause increased algal growth. Algal growth increases oxygen consumption causing anoxic conditions as observed in the Gulf of Mexico Hypoxic Zone.</p><p>From March 8, 2017, to March 31, 2019, groundwater level, continuous nitrate, dissolved oxygen, specific conductance, water temperature, and pH data were collected in a monitoring well to temporally assess changes in water quality using high frequency data. During this same period, instantaneous field measurements of water quality and groundwater levels were made in surface water and groundwater in and near Quiver Creek in the presumed groundwater flow path about 0.6 mile from the continuous monitoring well. Groundwater nitrate concentrations continuously measured in the aquifer during this time ranged from 14.7 to 23.2 milligrams per liter, whereas instantaneously measured nitrate concentrations in Quiver Creek ranged from 0.9 to 6.4 milligrams per liter. Nitrate concentrations measured by piezometer varied laterally and vertically in the Quiver Creek floodplain and beneath the stream. Irrigation and fertigation for agriculture is widely practiced in Mason County. This may seasonally affect the groundwater flow and movement as well as the persistence of nitrate in this area. Continuously and instantaneously measured nitrate concentrations and groundwater levels indicate that during the irrigation season, discharge to Quiver Creek from the shallow groundwater system may be limited. During and following periods when estimated irrigation use is highest, the low-nitrate deeper groundwater may be the dominant contributor to the Quiver Creek surface water, whereas during recharge events and when the system is not under the stress of irrigation, there is more contribution from the local and higher-nitrate shallow groundwater.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205108","collaboration":"Prepared in cooperation with the Illinois Environmental Protection Agency","usgsCitation":"Gruhn, L.R., and Morrow, W.S., 2020, Use of real-time sensors to temporally characterize water quality in groundwater and surface water in Mason County, Illinois, 2017–19: U.S. Geological Survey Scientific Investigations Report 2020–5108, 26 p., https://doi.org/10.3133/sir20205108.","productDescription":"viii, 26 p.","numberOfPages":"38","onlineOnly":"Y","ipdsId":"IP-108958","costCenters":[{"id":36532,"text":"Central 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<a data-mce-href=\"https://www.usgs.gov/centers/cm-water\" href=\"https://www.usgs.gov/centers/cm-water\">Central Midwest Water Science Center</a><br>U.S. Geological Survey<br>405 North Goodwin <br>Urbana, IL 61801</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Hydrology</li><li>Continuous Groundwater-Quality Data</li><li>Characterization of Water Quality in Quiver Creek Stream and Floodplain</li><li>Isotopic Characterization</li><li>Summary and Conclusions</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2020-11-25","noUsgsAuthors":false,"publicationDate":"2020-11-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Gruhn, Lance R. 0000-0002-7120-3003 lgruhn@usgs.gov","orcid":"https://orcid.org/0000-0002-7120-3003","contributorId":219710,"corporation":false,"usgs":true,"family":"Gruhn","given":"Lance","email":"lgruhn@usgs.gov","middleInitial":"R.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":805685,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morrow, William S. 0000-0002-2250-3165 wsmorrow@usgs.gov","orcid":"https://orcid.org/0000-0002-2250-3165","contributorId":1886,"corporation":false,"usgs":true,"family":"Morrow","given":"William","email":"wsmorrow@usgs.gov","middleInitial":"S.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":805686,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70216785,"text":"70216785 - 2020 - Sphalerite oxidation in seawater with covellite: Implications for seafloor massive sulfide deposits and mine waste","interactions":[],"lastModifiedDate":"2020-12-29T22:14:58.077527","indexId":"70216785","displayToPublicDate":"2020-11-25T09:13:02","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5615,"text":"ACS Earth and Space Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Sphalerite oxidation in seawater with covellite: Implications for seafloor massive sulfide deposits and mine waste","docAbstract":"<div class=\"container container_scaled-down\"><div class=\"row\"><div class=\"col-xs-12\"><div id=\"abstractBox\" class=\"article_abstract-content hlFld-Abstract\"><p class=\"articleBody_abstractText\">Metal sulfide minerals exist in several marine environments and are in thermodynamic disequilibrium with oxygenated seawater from the time of their formation. Oxidation is both ubiquitous and heterogeneous, as observational and experimental evidence demonstrates that sulfide minerals may oxidize completely on decadal timescales (hydrothermal plumes) or incompletely in billions of years (mineral deposits); however, the processes, rates, and interactions among minerals as oxidative dissolution occurs are not well understood. Added impetus to understanding these processes exists due to the potential for mining of seafloor massive sulfide deposits and potential environmental impacts of that activity. Here, we present a laboratory-based experimental study on the galvanic oxidation of sphalerite and synthesized zinc sulfide and coupled to covellite. We find that, in contrast to single-mineral reactions, coupled mineral reactions are at least 2 orders of magnitude more rapid, light independent, and have a lower apparent activation energy for oxidation. These results begin to provide insight into observed differences between laboratory and environmentally observed oxidation rates and are a step in the direction of more accurately predicting environmental rates as well as any changes to those rates from anthropogenic disturbances.</p></div></div></div></div>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acsearthspacechem.0c00177","usgsCitation":"Gartman, A., Whisman, S., and Hein, J.R., 2020, Sphalerite oxidation in seawater with covellite: Implications for seafloor massive sulfide deposits and mine waste: ACS Earth and Space Chemistry, v. 4, no. 12, p. 2261-2269, https://doi.org/10.1021/acsearthspacechem.0c00177.","productDescription":"9 p.","startPage":"2261","endPage":"2269","ipdsId":"IP-120111","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":454752,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acsearthspacechem.0c00177","text":"Publisher Index Page"},{"id":436711,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FZ16VG","text":"USGS data release","linkHelpText":"Measurements of zinc, oxygen, and pH, from sphalerite and ZnS oxidation in seawater"},{"id":381028,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"12","noUsgsAuthors":false,"publicationDate":"2020-11-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Gartman, Amy 0000-0001-9307-3062 agartman@usgs.gov","orcid":"https://orcid.org/0000-0001-9307-3062","contributorId":177057,"corporation":false,"usgs":true,"family":"Gartman","given":"Amy","email":"agartman@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":806247,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whisman, Samantha P.","contributorId":245470,"corporation":false,"usgs":false,"family":"Whisman","given":"Samantha P.","affiliations":[{"id":49200,"text":"former PCMSC/ USGS","active":true,"usgs":false}],"preferred":false,"id":806248,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hein, James R. 0000-0002-5321-899X jhein@usgs.gov","orcid":"https://orcid.org/0000-0002-5321-899X","contributorId":140835,"corporation":false,"usgs":true,"family":"Hein","given":"James","email":"jhein@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":806249,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70217298,"text":"70217298 - 2020 - Whitebark pine in the national parks of the Pacific states: An assessment of population vulnerability","interactions":[],"lastModifiedDate":"2021-01-18T13:54:14.320789","indexId":"70217298","displayToPublicDate":"2020-11-25T07:49:19","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2900,"text":"Northwest Science","onlineIssn":"2161-9859","printIssn":"0029-344X","active":true,"publicationSubtype":{"id":10}},"title":"Whitebark pine in the national parks of the Pacific states: An assessment of population vulnerability","docAbstract":"<div class=\"div0\"><div class=\"row ArticleContentRow\"><p id=\"ID0EF\" class=\"first\">Whitebark pine (<i>Pinus albicaulis</i>) is a long-lived tree found in high-elevation forests of western North America that is declining due to the non-native white pine blister rust (<i>Cronartium ribicola</i>) and climate-driven outbreaks of mountain pine beetle (<i>Dendroctonus ponderosae</i>; MPB). The National Park Service established a monitoring program for whitebark pine in seven parks, including Sequoia &amp; Kings Canyon, Yosemite, Lassen Volcanic, Crater Lake, Mount Rainier, Olympic, and North Cascades National Parks. Using these data, we summarized stand structure, presence of blister rust, and MPB prevalence to provide a baseline for future monitoring. Next, we used a stochastic, size-structured population model to speculate on future trends in the seven national park populations under conditions of increased MPB activity and ongoing blister rust infection observed in Crater Lake. We found that blister rust infected 29 to 54% of whitebark pine in all the parks except the two southernmost, Sequoia &amp; Kings Canyon and Yosemite, where infections rates were 0.3% and 0.2%, respectively. The proportion of dead trees in Sequoia &amp; Kings Canyon and Yosemite was low (0 to 1%), while they ranged from 10 to 43% in the other parks. Model projections suggested an average population decline of 25% in the parks over the next century using Crater Lake conditions, declines which are possible if blister rust continues to spread and climate change results in a significant increase in the frequency or severity of MPB outbreaks. Overall, our study describes conditions at seven western parks and illustrates potential rates of whitebark pine decline if pest outbreaks and/or blister rust infections worsen.</p></div></div>","language":"English","publisher":"Northwest Scientific Association","doi":"10.3955/046.094.0204","usgsCitation":"Jules, E., van Mantgem, P., Iberle, B.G., Nesmith, J.C., and Rochefort, R., 2020, Whitebark pine in the national parks of the Pacific states: An assessment of population vulnerability: Northwest Science, v. 94, no. 2, p. 129-141, https://doi.org/10.3955/046.094.0204.","productDescription":"13 p.","startPage":"129","endPage":"141","ipdsId":"IP-104282","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":382256,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, Washington","otherGeospatial":"Sequoia and Kings Canyon National Park, Yosemite National Park, Lassen National Park, Crater Lake National Park, Mount Rainier National Park, Olympic National Park, North Cascades National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.33349609375,\n              35.94243575255426\n            ],\n            [\n              -117.630615234375,\n              35.94243575255426\n            ],\n            [\n              -117.630615234375,\n              36.77409249464195\n            ],\n            [\n              -119.33349609375,\n              36.77409249464195\n            ],\n            [\n              -119.33349609375,\n              35.94243575255426\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      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    }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.40966796874999,\n              46.35451083736523\n            ],\n            [\n              -121.00341796874999,\n              46.35451083736523\n            ],\n            [\n              -121.00341796874999,\n              46.98025235521883\n            ],\n            [\n              -122.40966796874999,\n              46.98025235521883\n            ],\n            [\n              -122.40966796874999,\n              46.35451083736523\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.595947265625,\n              47.212105775622426\n            ],\n            [\n            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G","contributorId":247765,"corporation":false,"usgs":false,"family":"Iberle","given":"Benjamin","email":"","middleInitial":"G","affiliations":[{"id":49647,"text":"Humboldt State University, 1 Harpst Street, Arcata, California 95521","active":true,"usgs":false}],"preferred":false,"id":808307,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nesmith, Jonathan C B","contributorId":245216,"corporation":false,"usgs":false,"family":"Nesmith","given":"Jonathan","email":"","middleInitial":"C B","affiliations":[{"id":49124,"text":"National Park Service, Sierra Nevada Network Inventory & Monitoring Program","active":true,"usgs":false}],"preferred":false,"id":808308,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rochefort, Regina","contributorId":247766,"corporation":false,"usgs":false,"family":"Rochefort","given":"Regina","affiliations":[{"id":49648,"text":"North Cascades National Park Service Complex, 810 State Route 20, Sedro-Woolley, Washington 98284","active":true,"usgs":false}],"preferred":false,"id":808309,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70216804,"text":"70216804 - 2020 - Geochemistry and age of groundwater in the Williston Basin, USA: Assessing potential effects of shale-oil production on groundwater quality","interactions":[],"lastModifiedDate":"2020-12-08T13:55:25.977909","indexId":"70216804","displayToPublicDate":"2020-11-25T07:46:24","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Geochemistry and age of groundwater in the Williston Basin, USA: Assessing potential effects of shale-oil production on groundwater quality","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\">Thirty water wells were sampled in 2018 to understand the geochemistry and age of groundwater in the Williston Basin and assess potential effects of shale-oil production from the Three Forks-Bakken petroleum system (TBPS) on groundwater quality. Two geochemical groups are identified using hierarchical cluster analysis. Group 1 represents the younger (median<span>&nbsp;</span><sup>4</sup>He&nbsp;=&nbsp;21.49&nbsp;×&nbsp;10<sup>−8</sup>&nbsp;cm<sup>3</sup><span>&nbsp;</span>STP/g), less chemically evolved water. Group 2 represents the older (median<span>&nbsp;</span><sup>4</sup>He&nbsp;=&nbsp;1389&nbsp;×&nbsp;10<sup>−8</sup>&nbsp;cm<sup>3</sup><span>&nbsp;</span>STP/g), more chemically evolved water. At least two samples from each group contain elevated Cl concentrations (&gt;70&nbsp;mg/L). Br/Cl, B/Cl, and Li/Cl ratios indicate multiple sources account for the elevated Cl concentrations: septic-system leachate/road deicing salt, lignite beds in the aquifers, Pierre Shale beneath the aquifers, and water associated with the TBPS (one sample).<span>&nbsp;</span><sup>3</sup>H and<span>&nbsp;</span><sup>14</sup>C data indicate that 10.8, 21.6, and 67.6% of the samples are modern (post-1952), mixed age, and premodern (pre-1953), respectively. Lumped-parameter modeling of<span>&nbsp;</span><sup>3</sup>H, SF<sub>6</sub>,<span>&nbsp;</span><sup>3</sup>He, and<span>&nbsp;</span><sup>14</sup>C concentrations indicates mean ages of the modern and premodern fractions range from ~1 to 30 years and 1300 to &gt;30,000 years, respectively. Group 2 contains the highest CH<sub>4</sub><span>&nbsp;</span>concentrations (0.0018–32&nbsp;mg/L). δ<sup>13</sup>C–CH<sub>4</sub><span>&nbsp;</span>and C<sub>1</sub>/C<sub>2</sub>+C<sub>3</sub><span>&nbsp;</span>data in groundwater (−91.7 to −70.0‰ and 1280 to 13,600) indicate groundwater CH<sub>4</sub><span>&nbsp;</span>is biogenic in origin and not from thermogenic shale gas. Four volatile organic compounds (VOCs) were detected in two samples. One mixed-age sample contains chloroform (0.25&nbsp;μg/L) and dichloromethane (0.05&nbsp;μg/L), which are probably associated with septic leachate. One premodern sample contains butane (0.082&nbsp;μg/L) and n-pentane (0.032&nbsp;μg/L), which are probably associated with thermogenic gas from a nearby oil well. The data indicate hydrocarbon production activities do not currently (2018) widely affect Cl, CH<sub>4</sub>, and VOC concentrations in groundwater. The predominance of premodern recharge in the aquifers indicates the groundwater moves relatively slowly, which could inhibit widespread chemical movement in groundwater overlying the TBPS. Comparison of groundwater-age data from five major unconventional hydrocarbon-production areas indicates aquifer zones used for water supply in the TBPS area have a lower risk of widespread chemical movement in groundwater than similar aquifer zones in the Fayetteville (Arkansas) and Marcellus (Pennsylvania) Shale production areas, but have a higher risk than similar aquifer zones in the Eagle Ford (Texas) and Haynesville (Texas, Louisiana) Shale production areas.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2020.104833","usgsCitation":"McMahon, P.B., Galloway, J.M., Hunt, A., Belitz, K., Jurgens, B., and Johnson, T., 2020, Geochemistry and age of groundwater in the Williston Basin, USA: Assessing potential effects of shale-oil production on groundwater quality: Applied Geochemistry, 104833, 16 p., https://doi.org/10.1016/j.apgeochem.2020.104833.","productDescription":"104833, 16 p.","ipdsId":"IP-120675","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":454755,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.apgeochem.2020.104833","text":"Publisher Index Page"},{"id":436712,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98H46DG","text":"USGS data release","linkHelpText":"Quality-Control Data for Volatile Organic Compounds and Environmental Sulfur-Hexafluoride Data for Groundwater Samples from the Williston Basin, USA"},{"id":381102,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, North Dakota, South Dakota","otherGeospatial":"Williston Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.35888671875,\n              45.22848059584359\n            ],\n            [\n              -102.32666015625,\n              45.22848059584359\n            ],\n            [\n              -102.32666015625,\n              47.204642388766935\n            ],\n            [\n              -105.35888671875,\n              47.204642388766935\n            ],\n            [\n              -105.35888671875,\n              45.22848059584359\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McMahon, Peter B. 0000-0001-7452-2379 pmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":724,"corporation":false,"usgs":true,"family":"McMahon","given":"Peter","email":"pmcmahon@usgs.gov","middleInitial":"B.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":806334,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Galloway, Joel M. 0000-0002-9836-9724 jgallowa@usgs.gov","orcid":"https://orcid.org/0000-0002-9836-9724","contributorId":1562,"corporation":false,"usgs":true,"family":"Galloway","given":"Joel","email":"jgallowa@usgs.gov","middleInitial":"M.","affiliations":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":806335,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunt, Andrew G. 0000-0002-3810-8610","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":206197,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew G.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":806336,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Belitz, Kenneth 0000-0003-4481-2345","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":201889,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":806337,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jurgens, Bryant C. 0000-0002-1572-113X","orcid":"https://orcid.org/0000-0002-1572-113X","contributorId":203409,"corporation":false,"usgs":true,"family":"Jurgens","given":"Bryant","middleInitial":"C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":806338,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Tyler D. 0000-0002-7334-9188","orcid":"https://orcid.org/0000-0002-7334-9188","contributorId":201888,"corporation":false,"usgs":true,"family":"Johnson","given":"Tyler D.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":806339,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70229107,"text":"70229107 - 2020 - Challenging our understanding of western Yellow-billed Cuckoo habitat needs and accepted management practices","interactions":[],"lastModifiedDate":"2022-03-02T00:15:19.04416","indexId":"70229107","displayToPublicDate":"2020-11-24T18:03:40","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Challenging our understanding of western Yellow-billed Cuckoo habitat needs and accepted management practices","docAbstract":"<p><span>Riparian restoration in the southwestern United States frequently involves planting cottonwood (</span><i>Populus</i><span>&nbsp;spp.) and willow (</span><i>Salix</i><span>&nbsp;spp.). In the absence of flooding and gap-forming disturbance, planted forests often senesce without further young tree recruitment. This has largely been the case in California riparian systems that historically supported state-endangered western Yellow-billed Cuckoo (</span><i>Coccyzus americanus</i><span>; Cuckoo). A decline in Cuckoo population numbers in the past 30 years has been associated with forest maturation. Other riparian species of concern show a concomitant decline, indicating the problem is not specific to Cuckoos. Although varying hypotheses exist for recent decline, alternative management practices have not been sufficiently explored to rule out breeding ground habitat quality as a major contributing factor. Few intensive Cuckoo datasets exist to test hypotheses about breeding habitat quality due to extremely low populations in the remaining occupied sites. We used a historical (1986–1996) spot mapping dataset from the South Fork Kern River Valley, CA to identify vegetation characteristics related to Cuckoo and five other sensitive riparian bird territory densities. We found Cuckoo densities were positively associated with increased vertical vegetative structure 1–5 m above ground with a threshold for mean tree height. Sensitive species densities were also related to vertical structure and started to decline with stand height greater than 6–8 m. Naturally regenerated sites had higher densities of most sensitive bird species than planted sites. We provide ideas for restoring mature forest with little vertical structure.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/rec.13331","usgsCitation":"Wohner, P., Laymon, S., Stanek, J., King, S.L., and Cooper, R., 2020, Challenging our understanding of western Yellow-billed Cuckoo habitat needs and accepted management practices: Restoration Ecology, v. 29, no. 3, e13331, https://doi.org/10.1111/rec.13331.","productDescription":"e13331","ipdsId":"IP-122363","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":396614,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"South Fork Kern River 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,{"id":70216529,"text":"sir20205088 - 2020 - Bathymetric and velocimetric surveys at highway bridges crossing the Missouri and Mississippi Rivers on the periphery of Missouri, July–August 2018","interactions":[],"lastModifiedDate":"2020-11-25T12:58:22.191418","indexId":"sir20205088","displayToPublicDate":"2020-11-24T16:52:31","publicationYear":"2020","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":"2020-5088","displayTitle":"Bathymetric and Velocimetric Surveys at Highway Bridges Crossing the Missouri and Mississippi Rivers on the Periphery of Missouri, July–August 2018","title":"Bathymetric and velocimetric surveys at highway bridges crossing the Missouri and Mississippi Rivers on the periphery of Missouri, July–August 2018","docAbstract":"<p>Bathymetric and velocimetric data were collected by the U.S. Geological Survey, in cooperation with the Missouri Department of Transportation, near 7 bridges at 6 highway crossings of the Missouri and Mississippi Rivers on the periphery of the State of Missouri from July 16 to August 13, 2018. A multibeam echosounder mapping system was used to obtain channel-bed elevations for river reaches about 1,640 feet longitudinally and generally extending laterally across the active channel from bank to bank during moderate flood-flow conditions. These surveys indicate the channel conditions at the time of the surveys and provide characteristics of scour holes that may be useful in the development of predictive guidelines or equations for scour holes. These data also may be useful to the Missouri Department of Transportation as a low to moderate flood-flow comparison to help assess the bridges for stability and integrity issues with respect to bridge scour during floods.</p><p>Bathymetric data were collected around every pier that was in water, except those at the edge of water, and scour holes were present at most piers for which bathymetry could be obtained, except those on banks, on bedrock, or surrounded by riprap. Occasionally, the scour hole near a pier was difficult to discern from nearby bed features. The observed scour holes at the surveyed bridges were generally examined with respect to shape and depth.</p><p>Although partial exposure of substructural support elements was observed at several piers, at most sites the exposure likely can be considered minimal compared to the overall substructure that remains buried in bed material at these piers. The notable exceptions are piers 12 and 13 at structure L0135 on State Highway 51 at Chester, Illinois, at which the bedrock material was fully exposed around the piers.</p><p>The presence of riprap blankets, pier size and nose shape, and alignment to flow had a substantial effect on the size of the scour hole observed for a given pier. Piers that were surrounded by riprap blankets had scour holes that were substantially smaller (to nonexistent) compared to piers at which no rock or riprap were present. Narrow piers having round or sharp noses that were aligned with flow often had scour holes that were difficult to discern from nearby bed features, whereas piers having wide or blunt noses resulted in larger, deeper scour holes. Several of the structures had piers that were skewed to primary approach flow, and scour holes near these piers generally displayed deposition on the leeward side of the pier and greater depth on the side of the pier with impinging flow.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205088","collaboration":"Prepared in cooperation with the Missouri Department of Transportation","usgsCitation":"Huizinga, R.J., 2020, Bathymetric and velocimetric surveys at highway bridges crossing the Missouri and Mississippi Rivers on the periphery of Missouri, July–August 2018: U.S. Geological Survey Scientific Investigations Report 2020–5088, 100 p., https://doi.org/10.3133/sir20205088.","productDescription":"Report: vii, 100 p.; Data Release","numberOfPages":"112","onlineOnly":"Y","ipdsId":"IP-115831","costCenters":[{"id":36532,"text":"Central Midwest Water Science 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Shaded Triangulated Irregular Network Images of the Channel and Side of Pier for Each Surveyed Pier</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2020-11-24","noUsgsAuthors":false,"publicationDate":"2020-11-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Huizinga, Richard J. 0000-0002-2940-2324 huizinga@usgs.gov","orcid":"https://orcid.org/0000-0002-2940-2324","contributorId":2089,"corporation":false,"usgs":true,"family":"Huizinga","given":"Richard","email":"huizinga@usgs.gov","middleInitial":"J.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":805541,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70216484,"text":"sim3465 - 2020 - Predicted pH of groundwater in the Mississippi River Valley alluvial and Claiborne aquifers, south-central United States","interactions":[],"lastModifiedDate":"2020-11-25T12:48:14.764979","indexId":"sim3465","displayToPublicDate":"2020-11-24T14:14:54","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3465","displayTitle":"Predicted pH of Groundwater in the Mississippi River Valley Alluvial and Claiborne Aquifers, South-Central United States","title":"Predicted pH of groundwater in the Mississippi River Valley alluvial and Claiborne aquifers, south-central United States","docAbstract":"<p>Regional aquifers in the Mississippi embayment are the principal sources of water used for public and domestic supply, irrigation, and industrial uses throughout the region. An understanding of how water quality varies spatially, temporally, and with depth are critical aspects to ensuring long-term sustainable use of these resources. A boosted regression tree (BRT) model was used by the U.S. Geological Survey (USGS) to map water quality in the three regional aquifers with the largest groundwater withdrawals in the embayment: the Mississippi River Valley alluvial (MRVA) aquifer, middle Claiborne aquifer (MCAQ), and lower Claiborne aquifer (LCAQ).</p><p>The BRT model was used to predict pH to 1-kilometer raster grid cells for seven aquifer layers (one MRVA, four MCAQ, two LCAQ) following the hydrogeologic framework of the Mississippi embayment aquifer system regional MODFLOW model. The methods and approach used for pH predictions are the same as those used recently by the USGS to predict specific conductance and chloride in the aquifers. Explanatory variables for the BRT models included variables describing well location and construction, surficial variables such as soil properties and land use, and variables extracted from the groundwater flow model, such as groundwater levels and ages. The primary source of pH data was the USGS National Water Information System database. Additional data from State ambient groundwater monitoring programs and the Safe Drinking Water Information System also were used. For wells sampled multiple times, the most recent sample was used. Because groundwater residence times are long (greater than 100 years) throughout much of the study area, the possible effects of changes in water quality over time were considered small compared to the improvement in overall model accuracy by using available historical data. Values of pH from 3,362 wells for samples collected between 1960 and 2018 were used as training data for the BRT model. An additional 839 samples were used as holdout data to evaluate model performance. The predictive performance of the pH model is lower than for the training dataset, as indicated by an r-squared value of 0.89 for the training data and an r-squared of 0.71 for the holdout data. The root mean squared errors for the training and holdout data are 0.32 and 0.50 standard pH units, respectively. Data generated during this study and the model output are available from the companion data release.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3465","usgsCitation":"Kingsbury, J.A., Knierim, K.J., and Haugh, C.J., 2020, Predicted pH of groundwater in the Mississippi River Valley alluvial and Claiborne aquifers, South-Central United States: U.S. Geological Survey Scientific Investigations Map 3465, 1 sheet, https://doi.org/10.3133/sim3465.","productDescription":"1 Sheet: 34.60 x 28.70 inches; Data Release","onlineOnly":"Y","ipdsId":"IP-111848","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":380668,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CXX7LN","text":"USGS data release","linkHelpText":"Prediction grids of pH for the Mississippi River Valley alluvial and Claiborne aquifers"},{"id":380666,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3465/coverthb2.jpg"},{"id":380667,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3465/sim3465.pdf","text":"Report","size":"3.18 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3465"}],"country":"United States","state":"Alabama, Arkansas, Louisiana, Mississippi, Missouri","otherGeospatial":"Mississippi River Valley alluvial, Claiborne aquifers","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.296875,\n              37.020098201368114\n            ],\n            [\n              -90.1318359375,\n              36.66841891894786\n            ],\n            [\n              -91.93359375,\n              35.28150065789119\n            ],\n            [\n              -93.33984375,\n              33.65120829920497\n            ],\n            [\n              -94.04296874999999,\n              33.100745405144245\n            ],\n            [\n              -93.91113281249999,\n              31.952162238024975\n            ],\n            [\n              -93.1640625,\n              31.090574094954192\n            ],\n            [\n              -91.7578125,\n              30.939924331023445\n            ],\n            [\n              -91.0986328125,\n              31.952162238024975\n            ],\n            [\n              -90.703125,\n              32.24997445586331\n            ],\n            [\n              -89.3408203125,\n              32.175612478499325\n            ],\n            [\n              -88.0224609375,\n              31.57853542647338\n            ],\n            [\n              -87.4951171875,\n              31.80289258670676\n            ],\n            [\n              -86.748046875,\n              32.99023555965106\n            ],\n            [\n              -87.4072265625,\n              33.211116472416855\n            ],\n            [\n              -88.9892578125,\n              33.94335994657882\n            ],\n            [\n              -89.7802734375,\n              34.74161249883172\n            ],\n            [\n              -90,\n              35.24561909420681\n            ],\n            [\n              -89.56054687499999,\n              36.13787471840729\n            ],\n            [\n              -89.3408203125,\n              36.421282443649496\n            ],\n            [\n              -89.2529296875,\n              36.84446074079564\n            ],\n            [\n              -89.296875,\n              37.020098201368114\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/lmg-water\" data-mce-href=\"https://www.usgs.gov/centers/lmg-water\">Lower Mississippi Gulf Water Science Center</a><br>U.S. Geological Survey<br>640 Grassmere Park, Suite 100<br>Nashville, TN 37211</p>","tableOfContents":"<ul><li>Introduction</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2020-11-24","noUsgsAuthors":false,"publicationDate":"2020-11-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Kingsbury, James A. 0000-0003-4985-275X jakingsb@usgs.gov","orcid":"https://orcid.org/0000-0003-4985-275X","contributorId":883,"corporation":false,"usgs":true,"family":"Kingsbury","given":"James","email":"jakingsb@usgs.gov","middleInitial":"A.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":805380,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knierim, Katherine J. 0000-0002-5361-4132 kknierim@usgs.gov","orcid":"https://orcid.org/0000-0002-5361-4132","contributorId":191788,"corporation":false,"usgs":true,"family":"Knierim","given":"Katherine","email":"kknierim@usgs.gov","middleInitial":"J.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":805381,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haugh, Connor J. 0000-0002-5204-8271 cjhaugh@usgs.gov","orcid":"https://orcid.org/0000-0002-5204-8271","contributorId":3932,"corporation":false,"usgs":true,"family":"Haugh","given":"Connor","email":"cjhaugh@usgs.gov","middleInitial":"J.","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":true,"id":805382,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70216479,"text":"ofr20201116 - 2020 - Multiple-well monitoring site adjacent to the North and South Belridge Oil Fields, Kern County, California","interactions":[],"lastModifiedDate":"2020-11-25T12:52:01.362381","indexId":"ofr20201116","displayToPublicDate":"2020-11-24T12:43:43","publicationYear":"2020","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":"2020-1116","displayTitle":"Multiple-Well Monitoring Site Adjacent to the North and South Belridge Oil Fields, Kern County, California","title":"Multiple-well monitoring site adjacent to the North and South Belridge Oil Fields, Kern County, California","docAbstract":"<p><span>The U.S. Geological Survey (USGS), in cooperation with the California State Water Resources Control Board, is evaluating several questions about oil and gas development and groundwater resources in California, including (1) the location of groundwater resources; (2) the proximity of oil and gas operations to groundwater and the geologic materials between them; (3) evidence (or no evidence) of fluids from oil and gas sources in groundwater; and (4) the pathways or processes responsible when fluids from oil and gas sources are present in groundwater (U.S. Geological Survey, 2017). As part of this evaluation, the USGS installed a multiple-well monitoring site in the southern San Joaquin Valley groundwater basin adjacent to the North and South Belridge oil fields, about 7 miles southwest of Lost Hills, California. Data collected at the Belridge multiple-well monitoring site (BWSD) provide information about the geology, hydrology, geophysical properties, and geochemistry of the aquifer system, thus enhancing understanding of relations between adjacent groundwater and the North and South Belridge oil fields in an area where there are few groundwater data. This report presents construction information for the BWSD and initial hydrogeologic data collected from the site. A similar site installed to the east of the Lost Hills oil field, 11.5 miles to the north of the BWSD site, was described by Everett and others (2020a).</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201116","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Everett, R.R., Brown, A.A., Gillespie, J.M., Kjos, A., and Fenton, N.C., 2020, Multiple-well monitoring site adjacent to the North and South Belridge Oil Fields, Kern County, California: U.S. Geological Survey Open-File Report 2020-1116, 10 p., https://doi.org/10.3133/ofr20201116.","productDescription":"Report: 10 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-112077","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":380658,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1116/ofr20201116.pdf","text":"Report","size":"3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1116"},{"id":380659,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96WITX5","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Aquifer test data for the Belridge multiple-well monitoring site (BWSD), Kern County, California"},{"id":380657,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1116/coverthb.jpg"}],"country":"United States","state":"California","county":"Kern County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-120.1945,35.788],[-120.1842,35.789],[-120.1655,35.7891],[-120.1474,35.7887],[-120.0816,35.7886],[-119.9688,35.7896],[-119.852,35.7891],[-119.7618,35.7906],[-119.6472,35.7895],[-119.5395,35.79],[-119.4301,35.7905],[-119.3308,35.7899],[-119.2169,35.7906],[-119.1182,35.7903],[-118.9027,35.789],[-118.6504,35.7897],[-118.6441,35.7896],[-118.5885,35.7897],[-118.5233,35.7892],[-118.4785,35.7915],[-118.4706,35.7919],[-118.4502,35.7908],[-118.2716,35.7896],[-118.2562,35.7894],[-118.2387,35.7897],[-118.2137,35.7894],[-118.1956,35.7896],[-118.1632,35.7893],[-118.0839,35.7865],[-118.0697,35.7859],[-118.009,35.7861],[-117.9234,35.7863],[-117.9249,35.7986],[-117.9005,35.7983],[-117.8738,35.7988],[-117.8523,35.7985],[-117.6362,35.7958],[-117.6355,35.7086],[-117.6537,35.7085],[-117.6527,35.6776],[-117.6176,35.6775],[-117.6166,35.6493],[-117.6353,35.6487],[-117.6354,35.6233],[-117.6352,35.5807],[-117.6356,35.5666],[-117.6351,35.5639],[-117.6346,35.4472],[-117.6352,35.3755],[-117.6353,35.3464],[-117.6351,35.3319],[-117.6343,35.3174],[-117.6341,35.3028],[-117.6345,35.2874],[-117.6343,35.2742],[-117.6341,35.2588],[-117.6339,35.2447],[-117.6342,35.2302],[-117.634,35.2157],[-117.6338,35.2011],[-117.6336,35.1861],[-117.6334,35.1707],[-117.6338,35.1562],[-117.6336,35.1417],[-117.6333,35.1271],[-117.6331,35.1126],[-117.6329,35.098],[-117.6352,35.0981],[-117.636,35.0872],[-117.6358,35.0727],[-117.6356,35.0581],[-117.6357,35.0295],[-117.6361,35.015],[-117.6357,34.985],[-117.6351,34.8233],[-117.6519,34.8227],[-117.6704,34.8221],[-117.7757,34.8229],[-118.1408,34.8195],[-118.1493,34.8195],[-118.5995,34.8175],[-118.8946,34.8181],[-118.8945,34.818],[-118.8825,34.791],[-118.9772,34.7902],[-118.9771,34.8126],[-119.2462,34.8147],[-119.2461,34.857],[-119.2797,34.858],[-119.2779,34.8793],[-119.3844,34.8794],[-119.385,34.884],[-119.3849,34.899],[-119.4382,34.8999],[-119.4438,34.8999],[-119.4544,34.8999],[-119.4571,34.9],[-119.4746,34.9004],[-119.4746,34.9005],[-119.4746,34.9136],[-119.474,34.9367],[-119.474,34.9499],[-119.474,34.9576],[-119.474,34.9721],[-119.4746,35.0184],[-119.4746,35.0325],[-119.4745,35.077],[-119.4908,35.077],[-119.4914,35.092],[-119.5004,35.0915],[-119.5088,35.0906],[-119.5628,35.0883],[-119.5583,35.1369],[-119.5566,35.1601],[-119.5549,35.1791],[-119.5769,35.1787],[-119.6095,35.1773],[-119.6675,35.1749],[-119.6675,35.1908],[-119.6675,35.2049],[-119.6688,35.2617],[-119.7397,35.2629],[-119.7572,35.2633],[-119.7746,35.2633],[-119.8113,35.2641],[-119.8122,35.3508],[-119.8815,35.3501],[-119.8824,35.41],[-119.8824,35.4246],[-119.8831,35.4377],[-119.9999,35.4396],[-120.0007,35.4695],[-120.0171,35.469],[-120.0194,35.4835],[-120.0358,35.4834],[-120.0359,35.497],[-120.0523,35.4974],[-120.053,35.5124],[-120.0699,35.5128],[-120.0711,35.5268],[-120.0875,35.5276],[-120.0876,35.6139],[-120.1951,35.6151],[-120.1947,35.7481],[-120.1942,35.7626],[-120.1945,35.788]]]},\"properties\":{\"name\":\"Kern\",\"state\":\"CA\"}}]}","contact":"<p><a href=\"mailto:dc_ca@usgs.gov\" data-mce-href=\"mailto:dc_ca@usgs.gov\">Director</a>, <a href=\"https://ca.water.usgs.gov \" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://ca.water.usgs.gov\">California Water Science Center</a><br>U.S. Geological Survey<br>6000 J Street, Placer Hall<br>Sacramento, California 95819</p>","tableOfContents":"<ul><li>Study Area</li><li>Drilling and Well Installation</li><li>Sediment Analysis</li><li>Hydrology</li><li>Geochemistry</li><li>Accessing Data</li><li>References Cited</li></ul>","publishedDate":"2020-11-24","noUsgsAuthors":false,"publicationDate":"2020-11-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Everett, Rhett R. 0000-0001-7983-6270 reverett@usgs.gov","orcid":"https://orcid.org/0000-0001-7983-6270","contributorId":843,"corporation":false,"usgs":true,"family":"Everett","given":"Rhett R.","email":"reverett@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":805373,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Anthony A. 0000-0001-9925-0197 anbrown@usgs.gov","orcid":"https://orcid.org/0000-0001-9925-0197","contributorId":5125,"corporation":false,"usgs":true,"family":"Brown","given":"Anthony","email":"anbrown@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":805374,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gillespie, Janice M. 0000-0003-1667-3472","orcid":"https://orcid.org/0000-0003-1667-3472","contributorId":203915,"corporation":false,"usgs":true,"family":"Gillespie","given":"Janice M.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":805375,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kjos, Adam 0000-0002-2722-3306 adamkjos@usgs.gov","orcid":"https://orcid.org/0000-0002-2722-3306","contributorId":4130,"corporation":false,"usgs":true,"family":"Kjos","given":"Adam","email":"adamkjos@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":805376,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fenton, Nicole C. 0000-0002-8220-7181","orcid":"https://orcid.org/0000-0002-8220-7181","contributorId":245122,"corporation":false,"usgs":false,"family":"Fenton","given":"Nicole C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":805377,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70228859,"text":"70228859 - 2020 - Ecology and management of plague in diverse communities of rodents and fleas","interactions":[],"lastModifiedDate":"2022-02-23T16:42:39.167066","indexId":"70228859","displayToPublicDate":"2020-11-24T10:37:22","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3675,"text":"Vector-Borne and Zoonotic Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Ecology and management of plague in diverse communities of rodents and fleas","docAbstract":"<p><span>Plague originated in Asia as a flea-borne zoonosis of mammalian hosts. Today, the disease is distributed nearly worldwide. In western United States of America, plague is maintained, transmitted, and amplified in diverse communities of rodents and fleas. We examined flea diversity on three species of prairie dogs (</span><i>Cynomys</i><span>&nbsp;spp., PDs) and six species of sympatric small rodents in Montana and Utah, United States of America. Among 2896 fleas, 19 species were identified; 13 were found on PDs and 9 were found on small rodents. In Montana, three flea species were found on PDs; the three species parasitize PDs and mice. In Utah, 12 flea species were found on PDs; the 12 species parasitize PDs, mice, voles, chipmunks, ground squirrels, rock squirrels, and marmots. Diverse flea communities and their willingness to parasitize many types of hosts, across multiple seasons and habitats, may favor plague maintenance and transmission. Flea parasitism on&nbsp;</span><i>Peromyscus</i><span>&nbsp;deer mice varied directly with elevation. Fleas are prone to desiccation, and might prosper at higher, mesic elevations; in addition,&nbsp;</span><i>Peromyscus</i><span>&nbsp;nest characteristics may vary with elevation. Effective management of plague is critical. Plague management is probably most effective when encompassing communities of rodents and fleas. Treatment of PD burrows with 0.05% deltamethrin dust, which suppressed fleas on PDs for &gt;365 days, suppressed fleas on small rodents for at least 58 days. At one site, deltamethrin suppressed fleas on small rodents for at least 383 days. By simultaneously suppressing fleas on PDs and small rodents, deltamethrin should promote ecosystem resilience and One Health objectives.</span></p>","language":"English","publisher":"Mary Ann Liebert Inc.","doi":"10.1089/vbz.2020.2625","usgsCitation":"Eads, D.A., Biggins, D.E., and Gage, K., 2020, Ecology and management of plague in diverse communities of rodents and fleas: Vector-Borne and Zoonotic Diseases, v. 20, no. 12, p. 888-896, https://doi.org/10.1089/vbz.2020.2625.","productDescription":"9 p.","startPage":"888","endPage":"896","ipdsId":"IP-116656","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":396356,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, Utah","county":"Phillips 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Control and Prevention","active":true,"usgs":false}],"preferred":false,"id":835715,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70215041,"text":"fs20203046 - 2020 - Assessment of undiscovered conventional oil and gas resources of Southeast Asia, 2020","interactions":[],"lastModifiedDate":"2020-11-24T20:45:34.926372","indexId":"fs20203046","displayToPublicDate":"2020-11-24T10:05:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-3046","displayTitle":"Assessment of Undiscovered Conventional Oil and Gas Resources of Southeast Asia, 2020","title":"Assessment of undiscovered conventional oil and gas resources of Southeast Asia, 2020","docAbstract":"<p>Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 10.5 billion barrels of oil and 271.5 trillion cubic feet of gas within 33 geologic provinces of Southeast Asia.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20203046","usgsCitation":"Schenk, C.J., Mercier, T.J., Woodall, C.A., Finn, T.M., Le, P.A., Marra, K.R., Leathers-Miller, H.M., and Drake, R.M., II, 2020, Assessment of undiscovered conventional oil and gas resources of Southeast Asia, 2020 (ver. 1.1, November 2020): U.S. Geological Survey Fact Sheet 2020–3046, 2 p., https://doi.org/10.3133/fs20203046.","productDescription":"Report: 2 p.; Version History","onlineOnly":"N","ipdsId":"IP-118093","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":436714,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BI2N1N","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project&ndash;Southeast Asia Assessment Unit Boundaries, Assessment Input Forms, and Assessment Results Data Table (ver. 2.0, June 2023)"},{"id":380723,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/fs/2020/3046/versionHist.txt","text":"Version History","size":"4.0 kB","linkFileType":{"id":2,"text":"txt"},"description":"version history"},{"id":379102,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2020/3046/fs20203046.pdf","text":"Report","size":"9.02 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2020-3046"},{"id":379101,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2020/3046/coverthb2.jpg"}],"country":"Burma, Cambodia, Indonesia, Laos, Malaysia, Philippines, Singapore, Thailand, Vietnam","otherGeospatial":"Southeast Asia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              92.8125,\n              -10.31491928581316\n            ],\n            [\n              128.583984375,\n              -10.31491928581316\n            ],\n            [\n              128.583984375,\n              29.152161283318915\n            ],\n            [\n              92.8125,\n              29.152161283318915\n            ],\n            [\n              92.8125,\n              -10.31491928581316\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0: October  2019; Version 1.1: November 2020","contact":"<p>Director, <a href=\"http://energy.usgs.gov/\" data-mce-href=\"http://energy.usgs.gov/\">Central Energy Resources Science Center</a><br>U.S. Geological Survey<br>Box 25046, MS-939<br>Denver, CO 80225-0046</p>","tableOfContents":"<ul><li>Introduction</li><li>Undiscovered Resources Summary</li><li>References Cited</li></ul>","publishedDate":"2020-10-08","revisedDate":"2020-11-24","noUsgsAuthors":false,"publicationDate":"2020-10-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Schenk, Christopher J. 0000-0002-0248-7305 schenk@usgs.gov","orcid":"https://orcid.org/0000-0002-0248-7305","contributorId":826,"corporation":false,"usgs":true,"family":"Schenk","given":"Christopher","email":"schenk@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":800642,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mercier, Tracey J. 0000-0002-8232-525X tmercier@usgs.gov","orcid":"https://orcid.org/0000-0002-8232-525X","contributorId":2847,"corporation":false,"usgs":true,"family":"Mercier","given":"Tracey","email":"tmercier@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":800643,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woodall, Cheryl A. 0000-0002-4844-5768 cwoodall@usgs.gov","orcid":"https://orcid.org/0000-0002-4844-5768","contributorId":194924,"corporation":false,"usgs":true,"family":"Woodall","given":"Cheryl","email":"cwoodall@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":800644,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Finn, Thomas M. 0000-0001-6396-9351 finn@usgs.gov","orcid":"https://orcid.org/0000-0001-6396-9351","contributorId":778,"corporation":false,"usgs":true,"family":"Finn","given":"Thomas","email":"finn@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":800645,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Le, Phuong A. 0000-0003-2477-509X ple@usgs.gov","orcid":"https://orcid.org/0000-0003-2477-509X","contributorId":150418,"corporation":false,"usgs":true,"family":"Le","given":"Phuong","email":"ple@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":800646,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Marra, Kristen R. 0000-0001-8027-5255 kmarra@usgs.gov","orcid":"https://orcid.org/0000-0001-8027-5255","contributorId":4844,"corporation":false,"usgs":true,"family":"Marra","given":"Kristen","email":"kmarra@usgs.gov","middleInitial":"R.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":800647,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Leathers-Miller, Heidi M. 0000-0001-5208-9906 hleathers@usgs.gov","orcid":"https://orcid.org/0000-0001-5208-9906","contributorId":150419,"corporation":false,"usgs":true,"family":"Leathers-Miller","given":"Heidi","email":"hleathers@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":800648,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Drake, Ronald M. II 0000-0002-1770-4667 rmdrake@usgs.gov","orcid":"https://orcid.org/0000-0002-1770-4667","contributorId":1353,"corporation":false,"usgs":true,"family":"Drake","given":"Ronald","suffix":"II","email":"rmdrake@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":800649,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70217198,"text":"70217198 - 2020 - Critical shifts in trace metal transport and remediation performance under future low river flows","interactions":[],"lastModifiedDate":"2021-01-12T13:25:25.078301","indexId":"70217198","displayToPublicDate":"2020-11-24T07:22:05","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Critical shifts in trace metal transport and remediation performance under future low river flows","docAbstract":"<div class=\"article_abstract\"><div class=\"container container_scaled-down\"><div class=\"row\"><div class=\"col-xs-12\"><div id=\"abstractBox\" class=\"article_abstract-content hlFld-Abstract\"><p class=\"articleBody_abstractText\">Exceptionally low river flows are predicted to become more frequent and more severe across many global regions as a consequence of climate change. Investigations of trace metal transport dynamics across streamflows reveal stark changes in water chemistry, metal transformation processes, and remediation effectiveness under exceptionally low-flow conditions. High spatial resolution hydrological and water quality datasets indicate that metal-rich groundwater will exert a greater control on stream water chemistry and metal concentrations because of climate change. This is because the proportion of stream water sourced from mined areas and mineralized strata will increase under predicted future low-flow scenarios (from 25% under Q45 flow to 66% under Q99 flow in this study). However, mineral speciation modelling indicates that changes in stream pH and hydraulic conditions at low flow will decrease aqueous metal transport and increase sediment metal concentrations by enhancing metal sorption directly to streambed sediments. Solute transport modelling further demonstrates how increases in the importance of metal-rich diffuse groundwater sources at low flow could minimize the benefits of point source metal contamination treatment. Understanding metal transport dynamics under exceptionally low flows, as well as under high flows, is crucial to evaluate ecosystem service provision and remediation effectiveness in watersheds under future climate change scenarios.</p></div></div></div></div></div>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.0c04016","usgsCitation":"Byrne, P.A., Onnis, P., Runkel, R.L., Frau, I., Lynch, S.F., and Edwards, P., 2020, Critical shifts in trace metal transport and remediation performance under future low river flows: Environmental Science & Technology, v. 54, no. 24, p. 15742-15750, https://doi.org/10.1021/acs.est.0c04016.","productDescription":"9 p.","startPage":"15742","endPage":"15750","ipdsId":"IP-119631","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":454761,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.0c04016","text":"Publisher Index Page"},{"id":382090,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"England","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -4.350585937499999,\n              52.01193653675363\n            ],\n            [\n              -2.724609375,\n              52.01193653675363\n            ],\n            [\n              -2.724609375,\n              52.82932091031373\n            ],\n            [\n              -4.350585937499999,\n              52.82932091031373\n            ],\n            [\n              -4.350585937499999,\n              52.01193653675363\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"54","issue":"24","noUsgsAuthors":false,"publicationDate":"2020-11-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Byrne, Patrick A.","contributorId":247578,"corporation":false,"usgs":false,"family":"Byrne","given":"Patrick","email":"","middleInitial":"A.","affiliations":[{"id":49583,"text":"Liverpool John Moores University","active":true,"usgs":false}],"preferred":false,"id":807951,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Onnis, Patrizia","contributorId":247579,"corporation":false,"usgs":false,"family":"Onnis","given":"Patrizia","affiliations":[{"id":49583,"text":"Liverpool John Moores University","active":true,"usgs":false}],"preferred":false,"id":807952,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Runkel, Robert L. 0000-0003-3220-481X runkel@usgs.gov","orcid":"https://orcid.org/0000-0003-3220-481X","contributorId":685,"corporation":false,"usgs":true,"family":"Runkel","given":"Robert","email":"runkel@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":807953,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frau, Ilaria","contributorId":247580,"corporation":false,"usgs":false,"family":"Frau","given":"Ilaria","email":"","affiliations":[{"id":49583,"text":"Liverpool John Moores University","active":true,"usgs":false}],"preferred":false,"id":807954,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lynch, Sarah F. L.","contributorId":247581,"corporation":false,"usgs":false,"family":"Lynch","given":"Sarah","email":"","middleInitial":"F. L.","affiliations":[{"id":13386,"text":"AECOM","active":true,"usgs":false}],"preferred":false,"id":807955,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Edwards, Paul","contributorId":247582,"corporation":false,"usgs":false,"family":"Edwards","given":"Paul","email":"","affiliations":[{"id":16759,"text":"Swansea University","active":true,"usgs":false}],"preferred":false,"id":807956,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70223327,"text":"70223327 - 2020 - Deep-sea coral and sponge taxa increase demersal fish diversity and the probability of fish presence","interactions":[],"lastModifiedDate":"2021-09-14T16:57:46.030265","indexId":"70223327","displayToPublicDate":"2020-11-23T17:37:31","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"title":"Deep-sea coral and sponge taxa increase demersal fish diversity and the probability of fish presence","docAbstract":"<p><span>Fishes are known to use deep-sea coral and sponge (DSCS) species as habitat, but it is uncertain whether this relationship is facultative (circumstantial and not restricted to a particular function) or obligate (necessary to sustain fish populations). To explore whether DSCS provide essential habitats for demersal fishes, we analyzed 10 years of submersible survey video transect data, documenting the locations and abundance of DSCS and demersal fishes in the Southern California Bight (SCB). We first classified the different habitats in which fishes and DSCS taxa occurred using cluster analysis, which revealed four distinct DSCS assemblages based on depth and substratum. We then used logistic regression and gradient forest analysis to identify the ecological correlates most associated with the presence of rockfish taxa (</span><i>Sebastes</i><span>&nbsp;spp.) and biodiversity. After accounting for spatial autocorrelation, the factors most related to the presence of rockfishes were depth, coral height, and the abundance of a few key DSCS taxa. Of particular interest, we found that young-of-the-year rockfishes were more likely to be present in locations with taller coral and increased densities of&nbsp;</span><i>Plumarella longispina</i><span>,&nbsp;</span><i>Lophelia pertusa</i><span>, and two sponge taxa. This suggests these DSCS taxa may serve as important rearing habitat for rockfishes. Similarly, the gradient forest analysis found the most important ecological correlates for fish biodiversity were depth, coral cover, coral height, and a subset of DSCS taxa. Of the 10 top-ranked DSCS taxa in the gradient forest (out of 39 potential DSCS taxa), 6 also were associated with increased probability of fish presence in the logistic regression. The weight of evidence from these multiple analytical methods suggests that this subset of DSCS taxa are important fish habitats. In this paper we describe methods to characterize demersal communities and highlight which DSCS taxa provide habitat to demersal fishes, which is valuable information to fisheries agencies tasked to manage these fishes and their essential habitats.</span></p>","language":"English","publisher":"Frontiers","doi":"10.3389/fmars.2020.593844","usgsCitation":"Henderson, M., Huff, D., and Yoklavich, M., 2020, Deep-sea coral and sponge taxa increase demersal fish diversity and the probability of fish presence: Frontiers in Marine Science, v. 7, 593844, 19 p., https://doi.org/10.3389/fmars.2020.593844.","productDescription":"593844, 19 p.","ipdsId":"IP-102115","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":454762,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2020.593844","text":"Publisher Index Page"},{"id":388395,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.025390625,\n              32.879587173066305\n            ],\n            [\n              -117.66357421875,\n              32.879587173066305\n            ],\n            [\n              -117.66357421875,\n              34.43409789359469\n            ],\n            [\n              -121.025390625,\n              34.43409789359469\n            ],\n            [\n              -121.025390625,\n              32.879587173066305\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"7","noUsgsAuthors":false,"publicationDate":"2020-11-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Henderson, Mark J. 0000-0002-2861-8668 mhenderson@usgs.gov","orcid":"https://orcid.org/0000-0002-2861-8668","contributorId":198609,"corporation":false,"usgs":true,"family":"Henderson","given":"Mark J.","email":"mhenderson@usgs.gov","affiliations":[],"preferred":false,"id":821760,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huff, D.D.","contributorId":264617,"corporation":false,"usgs":false,"family":"Huff","given":"D.D.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":821761,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yoklavich, M.M","contributorId":264618,"corporation":false,"usgs":false,"family":"Yoklavich","given":"M.M","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":821762,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70216390,"text":"sir20205081 - 2020 - Assessment of Ambystomatid salamander populations and their breeding habitats in the Delaware Water Gap National Recreation Area","interactions":[],"lastModifiedDate":"2024-03-04T19:37:36.850638","indexId":"sir20205081","displayToPublicDate":"2020-11-23T10:50:00","publicationYear":"2020","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":"2020-5081","displayTitle":"Assessment of Ambystomatid Salamander Populations and Their Breeding Habitats in the Delaware Water Gap National Recreation Area","title":"Assessment of Ambystomatid salamander populations and their breeding habitats in the Delaware Water Gap National Recreation Area","docAbstract":"<p>This report presents abundance and occurrence data for three species of ambystomad salamanders (<i>Ambystoma maculatum, A. jeffersonianum,</i> and <i>A. opacum</i>) collected over a 3-year period (2000, 2001, and 2002) at 200 potentional breeding sies within the Delaware Water Gap National Recreation Area (DEWA). In addition, numerous measures of inpond, near-pond, and landscape attributes were measured and used to inform statistical models to determine species-habitat relationships in the DEWA.</p><p>The results of a 3-year study of ambystomatid salamander breeding habits and habitats in the (DEWA) that was conducted by the U.S. Geological Survey, in cooperation with the National Park Service, are described in the report. The objectives of the study were to document the population status and critical breeding habitats of the three species of ambystomatid salamanders known to be present in the DEWA—<i>Ambystoma maculatum</i> (spotted salamander), <i>A. opacum</i> (marbled salamander), and <i>A. jeffersonianum</i> (Jefferson salamander). DEWA managers are interested in ecological information on these species for several reasons. First, at the time the study began, there was little known regarding the status of pond-breeding amphibians and their habitats in the DEWA. Second, because they require undegraded habitats in both terrestrial and aquatic habitats to successfully complete their life cycles, the status of ambystomatid salamanders is widely viewed as indicative of overall ecosystem health. Third, because ambystomatid salamanders and other pond-breeding amphibians have been observed in numerous artificial impoundments with the DEWA, park managers would like to assess whether dismantling or discontinuing maintenance of artificial impoundments could affect pond-breeding amphibians and possibly other species that use pond or wetland habitats in the Park.</p><p>In 2001, 2002, and 2003, the size and location of 200 wetlands, ponds, and artificial impoundments, and related landscape positions (Ridge versus Valley; Pennsylvania side versus New Jersey side of the Delaware river) were mapped, and site habitat data relating to salamander occurrence and abundance patterns were collected. The data collected during this study provide important new baseline information on ambystomatid salamanders and wetland habitats in the DEWA that will enhance long-term inventory and monitoring efforts. In addition, breeding habitat assessments indicate that ambystomatid salamanders may be sensitive to a wide variety of stresses important in the DEWA and in the region. In particular, recent trends in development (for example, roads) in and near the DEWA, regional increases in the acidity of precipitation, and predicted long-term warming trends for the region could be detrimental to pond-breeding salamander populations because of their effects on breeding site quality and quantity, and on the integrity of migration corridors. In contrast, the results of the study indicate management plans to eliminate small impoundments are not likely to adversely affect salamanders in DEWA, at least in the short-term. However, it is possible that these small impoundments may offer stable habitats that provide a rescure effect during long-term droughts.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205081","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Snyder, C.D., Young, J.A., Julian, J.T., King, T.L., and Julian, S.E., 2020, Assessment of Ambystomatid salamander populations and their breeding habitats in the Delaware Water Gap National Recreation Area: U.S. Geological Survey Scientific Investigations Report 2020–5081, 41 p., https://doi.org/10.3133/sir20205081.","productDescription":"Report: viii, 41 p.; Data Release","numberOfPages":"41","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-113175","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":380510,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5081/coverthb.jpg"},{"id":380511,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5081/sir20205081.pdf","text":"Report","size":"3.33 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020-5081"},{"id":380512,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XCVHY3","text":"USGS data release","linkHelpText":"Ambystomatid salamander population and breeding pond habitat data for the Delaware Water Gap National Recreation Area (2001–2003)"}],"country":"United States","state":"New Jersey, Pennsylvania","otherGeospatial":"Delaware Water Gap 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              -74.7564697265625,\n              41.380930388318\n            ],\n            [\n              -74.8992919921875,\n              41.29844430929419\n            ],\n            [\n              -74.9761962890625,\n              41.18278832811288\n            ],\n            [\n              -75.1080322265625,\n              41.06692773019345\n            ],\n            [\n              -75.179443359375,\n              40.992337919312305\n            ],\n            [\n              -75.1629638671875,\n              40.93011520598305\n            ],\n            [\n              -75.0970458984375,\n              40.93841495689795\n            ],\n            [\n              -74.893798828125,\n              41.075210270566636\n            ],\n            [\n              -74.6630859375,\n              41.253032440653186\n            ],\n            [\n              -74.7564697265625,\n              41.380930388318\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/eesc\" data-mce-href=\"https://www.usgs.gov/centers/eesc\">Eastern Ecological Science Center</a><br>11649 Leetown Road<br>Kearneysville, WV 25430</p><p><a href=\"../contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Study Area</li><li>Methods</li><li>Findings</li><li>Discussion</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2020-11-23","noUsgsAuthors":false,"publicationDate":"2020-11-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Snyder, Craig D. 0000-0002-3448-597X csnyder@usgs.gov","orcid":"https://orcid.org/0000-0002-3448-597X","contributorId":2568,"corporation":false,"usgs":true,"family":"Snyder","given":"Craig","email":"csnyder@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":804867,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, John A. 0000-0002-4500-3673 jyoung@usgs.gov","orcid":"https://orcid.org/0000-0002-4500-3673","contributorId":3777,"corporation":false,"usgs":true,"family":"Young","given":"John","email":"jyoung@usgs.gov","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":804868,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Julian, James T.","contributorId":244030,"corporation":false,"usgs":false,"family":"Julian","given":"James","email":"","middleInitial":"T.","affiliations":[{"id":48803,"text":"Pennsylvania Department of Conservation and Natural Resources, Mira Lloyd Dock Resource Conservation Center","active":true,"usgs":false}],"preferred":false,"id":804869,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"King, Tim L. tlking@usgs.gov","contributorId":3520,"corporation":false,"usgs":true,"family":"King","given":"Tim","email":"tlking@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":804870,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Julian, Shanon E.","contributorId":244894,"corporation":false,"usgs":false,"family":"Julian","given":"Shanon","email":"","middleInitial":"E.","affiliations":[{"id":34554,"text":"U.S. Fish and Wildlife Service Northeast Fishery Center","active":true,"usgs":false}],"preferred":false,"id":804871,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
]}