{"pageNumber":"689","pageRowStart":"17200","pageSize":"25","recordCount":184900,"records":[{"id":70205913,"text":"sir20195107 - 2019 - Determination of study reporting limits for pesticide constituent data for the California Groundwater Ambient Monitoring and Assessment Program Priority Basin Project, 2004–2018—Part 1: National Water Quality Schedules 2003, 2032, or 2033, and 2060","interactions":[],"lastModifiedDate":"2019-12-18T19:52:50","indexId":"sir20195107","displayToPublicDate":"2019-12-17T12:03:49","publicationYear":"2019","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":"2019-5107","displayTitle":"Determination of Study Reporting Limits for Pesticide Constituent Data for the California Groundwater Ambient Monitoring and Assessment Program Priority Basin Project, 2004–2018—Part 1: National Water Quality Laboratory Schedules 2003, 2032, or 2033, and 2060","title":"Determination of study reporting limits for pesticide constituent data for the California Groundwater Ambient Monitoring and Assessment Program Priority Basin Project, 2004–2018—Part 1: National Water Quality Schedules 2003, 2032, or 2033, and 2060","docAbstract":"<p>The California Groundwater Ambient Monitoring and Assessment Program Priority Basin Project (GAMA-PBP) is a long-term cooperative project designed to assess the quality of groundwater resources used for public and domestic drinking water supplies in the State of California, to monitor and evaluate changes to that quality, to investigate the human and natural factors controlling water quality, and to improve the availability of comprehensive groundwater quality data and information. Between May 18, 2004, and May 3, 2018, the GAMA-PBP collected 3001 groundwater samples for analysis of pesticide constituents by the U.S. Geological Survey (USGS) National Water Quality Laboratory (NWQL)(note that ‘pesticide constituents’ includes parent compounds and degradates). Of these samples, 2994 were analyzed for pesticide constituents on schedules 2003, 2032, or 2033 (65 to 84 constituents), and 840 were analyzed for pesticide constituents on schedule 2060 (58 constituents). The original dataset reported by the NWQL to the USGS National Water Information System (NWIS) database contained a total of 2,688 detections of 78 pesticide constituents and 253,825 non-detections. In this original dataset, 33 percent of the 3,001 samples analyzed had reported detections of one or more pesticide constituents.</p><p>This report describes the GAMA-PBP data-quality objectives for pesticide data, the procedures used to establish study reporting limits, and use of those reporting limits to censor the data from the NWQL so that the final data published by the GAMA-PBP meet these data-quality objectives. The final GAMA-PBP dataset for samples collected from May 2004 to May 2018, after censoring, had a total of 1,632 detections of 37 pesticide constituents. In the final GAMA-PBP dataset, 25 percent of the 3,001 samples analyzed had detections of one or more pesticide constituents.</p><p>The presence of pesticides in groundwater is commonly evaluated by calculating detection frequencies. Detection frequencies for pesticides are sensitive to detection limits and method performance for concentrations near those limits; therefore, the two primary data quality issues addressed in the GAMA-PBP data-quality objectives for pesticides are (1) establishing criteria for classifying data from the laboratory as detections or non-detections for the purpose of data reporting by the project and (2) accounting for changes in analytical methods or method performance over time. The GAMA-PBP addresses these issues by developing study reporting limits that are used as the boundary between detections and non-detections for the reporting of GAMA-PBP results. These reporting limits are defined from method detection limits (MDLs) provided by the NWQL, unless examination of results from laboratory set blanks (LSBs) and GAMA-PBP field blanks indicates that a higher concentration censoring limit is warranted. The GAMA-PBP selected the MDL as the primary choice for defining study reporting limits for consistency with U.S. Environmental Protection Agency (EPA) guidelines for reporting detections of pesticides and other organic constituents.</p><p>A five-step procedure is used to develop study reporting limits and censor the GAMA-PBP dataset accordingly. The effect of the censoring at each step is described to provide information about the relative effect of each step on the overall censoring of the dataset. Steps 1 and 2 can be implemented at the time the data are received, whereas steps 3−5 require information accumulated over an extended period.</p><ul><li>Step 1: Reject results that were most likely the result of specific contamination instances attributable to unusual field or laboratory conditions during sample collection or processing. Two such instances were identified, leading to rejection of 25 detections, which were assigned a data-quality indicator code of “Q” for “reviewed and rejected” in the NWIS database.</li><li>Step 2: Use the NWQL MDLs in effect at the time each sample was analyzed as the reporting limit. A total of 506 detections were censored on this basis.</li><li>Step 3: Use the maximum MDL established by the NWQL during July 2004–August 2018 (MDLmax) as the reporting limit. The rationale for using the MDLmax as the reporting limit is based primarily on the observation that the concentrations of MDLs generally increased over time. A total of 438 detections were censored on this basis.</li><li>Step 4: Use the LSBs to identify periods of greater potential laboratory contamination bias and define raised reporting limits to be used during those periods. These periods were defined by using a moving average detection frequency approach. For consistency with the NWQL procedures for defining raised reporting limits on the basis of detections in LSBs, the raised reporting limits were defined as equal to three times the highest concentration measured in an LSB during the period. A total of 25 detections in groundwater samples analyzed during periods of increased laboratory contamination bias were censored.</li><li>Step 5: Use the LSBs and field blanks to identify potential contamination bias from field or laboratory processes outside of the time periods identified in step 4. The NWQL protocols were used to define the MDLs from blanks analyzed outside of the periods identified in step 4. If an MDL defined from blanks was greater than the MDLmax, the MDL defined from blanks was used to censor the data. One constituent had a study reporting limit defined on this basis, and a total of 62 detections in groundwater samples were censored.</li></ul><p>As of 2019, the USGS NWIS database does not have the capability to store both the original value reported by the NWQL and the final value published by the GAMA-PBP that reflects application of the quality-control censoring described in this report. In the interim, while this capability is developed, the 1,031 results censored in steps 2−5 are blocked from public release in NWIS, and the GAMA-PBP has published the original and final values in a USGS data release accompanying this report. The entire GAMA-PBP final dataset for pesticide constituents on schedules 2003, 2032, or 2033, or on schedule 2060 is publicly available in that USGS data release, through the USGS GAMA-PBP public web portal, and through the California State Water Resources Control Board GAMA public groundwater information system.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195107","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Fram, M.S., and Stork, S.V., 2019, Determination of study reporting limits for pesticide constituent data for the California Groundwater Ambient Monitoring and Assessment Program Priority Basin Project, 2004–2018—Part 1: National Water Quality Schedules 2003, 2032, or 2033, and 2060: U.S. Geological Survey Scientific Investigations Report 2019–5107, 129 p., https://doi.org/10.3133/sir20195107.","productDescription":"Report: viii, 129 p.; 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 \"}}]}","contact":"<p><a href=\"mailto:dc_ca@usgs.gov\" data-mce-href=\"mailto:dc_ca@usgs.gov\">Director</a>,<br><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><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>6000 J Street, Placer Hall<br>Sacramento, California 95819</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>National Water Quality Laboratory Data Reporting Conventions</li><li>GAMA Priority Basin Project Data Quality Objectives for Pesticide Constituents</li><li>Review and Censoring of the GAMA Priority Basin Project Dataset</li><li>GAMA Priority Basin Project Data Reporting</li><li>Summary and Conclusions</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2019-12-17","noUsgsAuthors":false,"publicationDate":"2019-12-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Fram, Miranda S. 0000-0002-6337-059X mfram@usgs.gov","orcid":"https://orcid.org/0000-0002-6337-059X","contributorId":1156,"corporation":false,"usgs":true,"family":"Fram","given":"Miranda","email":"mfram@usgs.gov","middleInitial":"S.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":772850,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stork, Sylvia V. 0000-0002-1994-5560 svstork@usgs.gov","orcid":"https://orcid.org/0000-0002-1994-5560","contributorId":5096,"corporation":false,"usgs":true,"family":"Stork","given":"Sylvia","email":"svstork@usgs.gov","middleInitial":"V.","affiliations":[],"preferred":true,"id":772851,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70206598,"text":"pp1842Y - 2019 - The effects of management practices on grassland birds—Thick-billed Longspur (Rhynchophanes mccownii)","interactions":[{"subject":{"id":70206598,"text":"pp1842Y - 2019 - The effects of management practices on grassland birds—Thick-billed Longspur (Rhynchophanes mccownii)","indexId":"pp1842Y","publicationYear":"2019","noYear":false,"chapter":"Y","displayTitle":"The Effects of Management Practices on Grassland Birds—Thick-billed Longspur (<i>Rhynchophanes mccownii</i>)","title":"The effects of management practices on grassland birds—Thick-billed Longspur (Rhynchophanes mccownii)"},"predicate":"IS_PART_OF","object":{"id":70203022,"text":"pp1842 - 2019 - The effects of management practices on grassland birds","indexId":"pp1842","publicationYear":"2019","noYear":false,"title":"The effects of management practices on grassland birds"},"id":1}],"isPartOf":{"id":70203022,"text":"pp1842 - 2019 - The effects of management practices on grassland birds","indexId":"pp1842","publicationYear":"2019","noYear":false,"title":"The effects of management practices on grassland birds"},"lastModifiedDate":"2023-12-20T21:26:07.204653","indexId":"pp1842Y","displayToPublicDate":"2019-12-17T10:27:12","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1842","chapter":"Y","displayTitle":"The Effects of Management Practices on Grassland Birds—Thick-billed Longspur (<i>Rhynchophanes mccownii</i>)","title":"The effects of management practices on grassland birds—Thick-billed Longspur (Rhynchophanes mccownii)","docAbstract":"<p>The key to <span>Thick-billed </span> Longspur (<i>Rhynchophanes mccownii</i>) management is providing short, sparsely vegetated native grasslands of adequate size. Mixed-grass prairies can be made suitable for breeding <span>Thick-billed </span> Longspurs by implementing moderate-to-heavy or season-long grazing. <span>Thick-billed </span> Longspurs have been reported to use habitats with 5–42 centimeters (cm) average vegetation height, 3–7 cm visual obstruction reading, 15–67 percent grass cover, less than (&lt;) 8 percent forb cover, &lt;7 percent shrub cover, 2–60 percent bare ground, 10–63 percent litter cover, and &lt;5 cm litter depth.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1842Y","usgsCitation":"Shaffer, J.A., Igl, L.D., Johnson, D.H., Sondreal, M.L., Goldade, C.M., Rabie, P.A., Wooten, T.L., and Euliss, B.R., 2019, The effects of management practices on grassland birds—Thick-billed Longspur (<i>Rhynchophanes mccownii</i>) (ver. 1.1, March 2022), chap. Y <i>of</i> Johnson, D.H., Igl, L.D., Shaffer, J.A., and DeLong, J.P., eds., The effects of management practices on grassland birds: U.S. Geological Survey Professional Paper 1842, 10 p., https://doi.org/10.3133/pp1842Y.","productDescription":"iv, 10 p.","numberOfPages":"18","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-095144","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":370325,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1842/y/coverthb2.jpg"},{"id":370326,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1842/y/pp1842y.pdf","text":"Report","size":"1.93 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1842–Y"},{"id":397826,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/pp/1842/y/versionhist.txt","text":"Version History","size":"1 kB","linkFileType":{"id":2,"text":"txt"}}],"edition":"Version 1.0: December 17, 2019; Version 1.1: March 31, 2022","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/npwrc\" data-mce-href=\"https://www.usgs.gov/centers/npwrc\">Northern Prairie Wildlife Research Center</a> <br>U.S. Geological Survey<br>8711 37th Street Southeast <br>Jamestown, ND 58401</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Capsule Statement</li><li>Breeding Range</li><li>Suitable Habitat</li><li>Area Requirements and Landscape Associations</li><li>Brood Parasitism by Cowbirds and Other Species</li><li>Breeding-Season Phenology and Site Fidelity</li><li>Species’ Response to Management</li><li>Management Recommendations from the Literature</li><li>References</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2019-12-17","revisedDate":"2022-03-31","noUsgsAuthors":false,"publicationDate":"2019-12-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Shaffer, Jill A. 0000-0003-3172-0708","orcid":"https://orcid.org/0000-0003-3172-0708","contributorId":220515,"corporation":false,"usgs":true,"family":"Shaffer","given":"Jill","email":"","middleInitial":"A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":775097,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Igl, Lawrence D. 0000-0003-0530-7266","orcid":"https://orcid.org/0000-0003-0530-7266","contributorId":220514,"corporation":false,"usgs":true,"family":"Igl","given":"Lawrence D.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":775096,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Douglas H. 0000-0002-7778-6641","orcid":"https://orcid.org/0000-0002-7778-6641","contributorId":220516,"corporation":false,"usgs":true,"family":"Johnson","given":"Douglas H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":775098,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sondreal, Marriah L.","contributorId":215631,"corporation":false,"usgs":false,"family":"Sondreal","given":"Marriah","email":"","middleInitial":"L.","affiliations":[{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false}],"preferred":false,"id":775099,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goldade, Christopher M.","contributorId":215632,"corporation":false,"usgs":false,"family":"Goldade","given":"Christopher","email":"","middleInitial":"M.","affiliations":[{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false}],"preferred":false,"id":775100,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rabie, Paul A.","contributorId":210022,"corporation":false,"usgs":false,"family":"Rabie","given":"Paul A.","affiliations":[{"id":38051,"text":"Western EcoSystems Technology, Inc.","active":true,"usgs":false}],"preferred":false,"id":775101,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wooten, Travis L.","contributorId":215633,"corporation":false,"usgs":false,"family":"Wooten","given":"Travis","email":"","middleInitial":"L.","affiliations":[{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false}],"preferred":false,"id":775102,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Euliss, Betty R.","contributorId":191881,"corporation":false,"usgs":false,"family":"Euliss","given":"Betty","email":"","middleInitial":"R.","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":775103,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70210921,"text":"70210921 - 2019 - Inactivation of viable surrogates for the select agents virulent Newcastle disease virus and highly pathogenic avian influenza virus using either commercial lysis buffer or heat","interactions":[],"lastModifiedDate":"2020-07-03T14:07:41.942112","indexId":"70210921","displayToPublicDate":"2019-12-17T09:05:15","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5970,"text":"Applied Biosafety","active":true,"publicationSubtype":{"id":10}},"title":"Inactivation of viable surrogates for the select agents virulent Newcastle disease virus and highly pathogenic avian influenza virus using either commercial lysis buffer or heat","docAbstract":"<div class=\"NLM_sec NLM_sec_level_1\"><div class=\"sectionInfo\"><h2 class=\"sectionHeading\">Introduction:</h2></div><p>Federal Select Agent Program regulations require laboratories to document a validated procedure for inactivating select agents prior to movement outside registered space. Avian influenza viruses and virulent Newcastle disease virus (vNDV) are cultured in chicken amnio-allantoic fluid (AAF), but the efficacy of commercial lysis buffers to inactivate viruses in protein-rich media has not been documented.</p></div><div class=\"NLM_sec NLM_sec_level_1\"><div class=\"sectionInfo\"><h2 class=\"sectionHeading\">Objectives:</h2></div><p>We assesses the efficacy of MagMAX™ lysis buffer for inactivating highly pathogenic avian influenza virus (HPAIV) and vNDV in chicken AAF and confirm the inactivation of avian influenza in serum using heat.</p></div><div class=\"NLM_sec NLM_sec_level_1\"><div class=\"sectionInfo\"><h2 class=\"sectionHeading\">Methods:</h2></div><p>Low pathogenic avian influenza virus (LPAIV) and avian paramyxovirus subtype-1 (APMV-1) were incubated with lysis buffer and tested for viability. Known viable LPAIV and APMV-1 RNA was extracted from AAF using MagMAX™-96 AI/ND Viral RNA Isolation kit, and the eluate was tested for remaining infectious agent. Finally, inactivation of LPAIV in serum was examined over 3 combinations of temperature and incubation time.</p></div><div class=\"NLM_sec NLM_sec_level_1\"><div class=\"sectionInfo\"><h2 class=\"sectionHeading\">Results:</h2></div><p>MagMAX™ lysis buffer inactivated both LPAIV and APMV-1 in AAF when incubated for 30 minutes at room temperature. The full extraction process eliminated viable virus from the final RNA eluate. LPAIV in serum heated to 70°C for 30 minutes was rendered noninfectious.</p></div><div class=\"NLM_sec NLM_sec_level_1\"><div class=\"sectionInfo\"><h2 class=\"sectionHeading\">Conclusion:</h2></div><p>The ability of a diagnostic laboratory to move samples from one space to another is critical to maintaining biosecurity as well as efficient laboratory workflow. Our study demonstrates a method to ensure the inactivation of viable avian influenza and avian paramyxoviruses in AAF, RNA eluate, and viable avian influenza virus in sera.</p></div>","language":"English","publisher":"Sage","doi":"10.1177/1535676019888920","usgsCitation":"Alger, K.E., Ip, S., Hall, J.S., Nashold, S., Richgels, K., and Smith, C.A., 2019, Inactivation of viable surrogates for the select agents virulent Newcastle disease virus and highly pathogenic avian influenza virus using either commercial lysis buffer or heat: Applied Biosafety, v. 24, no. 4, p. 189-199, https://doi.org/10.1177/1535676019888920.","productDescription":"11 p.","startPage":"189","endPage":"199","ipdsId":"IP-111927","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":458939,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1177/1535676019888920","text":"Publisher Index Page"},{"id":376121,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Alger, Katrina E. 0000-0001-7708-0203","orcid":"https://orcid.org/0000-0001-7708-0203","contributorId":228815,"corporation":false,"usgs":true,"family":"Alger","given":"Katrina","email":"","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":792142,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ip, S. 0000-0003-4844-7533 hip@usgs.gov","orcid":"https://orcid.org/0000-0003-4844-7533","contributorId":727,"corporation":false,"usgs":true,"family":"Ip","given":"S.","email":"hip@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":792143,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hall, Jeffrey S. 0000-0001-5599-2826 jshall@usgs.gov","orcid":"https://orcid.org/0000-0001-5599-2826","contributorId":2254,"corporation":false,"usgs":true,"family":"Hall","given":"Jeffrey","email":"jshall@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":792144,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nashold, Sean 0000-0002-8869-6633","orcid":"https://orcid.org/0000-0002-8869-6633","contributorId":214978,"corporation":false,"usgs":true,"family":"Nashold","given":"Sean","email":"","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":792145,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Richgels, Katherine 0000-0003-2834-9477 krichgels@usgs.gov","orcid":"https://orcid.org/0000-0003-2834-9477","contributorId":167016,"corporation":false,"usgs":true,"family":"Richgels","given":"Katherine","email":"krichgels@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":792146,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Carrie Alison 0000-0002-2684-3407","orcid":"https://orcid.org/0000-0002-2684-3407","contributorId":228816,"corporation":false,"usgs":true,"family":"Smith","given":"Carrie","email":"","middleInitial":"Alison","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":792147,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70215093,"text":"70215093 - 2019 - Migrating bison engineer the green wave","interactions":[],"lastModifiedDate":"2020-10-08T13:43:07.595505","indexId":"70215093","displayToPublicDate":"2019-12-17T08:40:03","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3165,"text":"Proceedings of the National Academy of Sciences of the United States of America","active":true,"publicationSubtype":{"id":10}},"title":"Migrating bison engineer the green wave","docAbstract":"<div id=\"abstract-2\" class=\"section abstract\"><p id=\"p-5\">Newly emerging plants provide the best forage for herbivores. To exploit this fleeting resource, migrating herbivores align their movements to surf the wave of spring green-up. With new technology to track migrating animals, the Green Wave Hypothesis has steadily gained empirical support across a diversity of migratory taxa. This hypothesis assumes the green wave is controlled by variation in climate, weather, and topography, and its progression dictates the timing, pace, and extent of migrations. However, aggregate grazers that are also capable of engineering grassland ecosystems make some of the world’s most impressive migrations, and it is unclear how the green wave determines their movements. Here we show that Yellowstone’s bison (<i>Bison bison</i>) do not choreograph their migratory movements to the wave of spring green-up. Instead, bison modify the green wave as they migrate and graze. While most bison surfed during early spring, they eventually slowed and let the green wave pass them by. However, small-scale experiments indicated that feedback from grazing sustained forage quality. Most importantly, a 6-fold decadal shift in bison density revealed that intense grazing caused grasslands to green up faster, more intensely, and for a longer duration. Our finding broadens our understanding of the ways in which animal movements underpin the foraging benefit of migration. The widely accepted Green Wave Hypothesis needs to be revised to include large aggregate grazers that not only move to find forage, but also engineer plant phenology through grazing, thereby shaping their own migratory movements.</p></div>","language":"English","publisher":"PNAS","doi":"10.1073/pnas.1913783116","usgsCitation":"Geremia, C., Merkle, J., Eacker, D.R., Wallen, R.L., White, P.J., Hebblewhite, M., and Kauffman, M., 2019, Migrating bison engineer the green wave: Proceedings of the National Academy of Sciences of the United States of America, v. 116, no. 51, p. 25707-25713, https://doi.org/10.1073/pnas.1913783116.","productDescription":"7 p.","startPage":"25707","endPage":"25713","ipdsId":"IP-106984","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":458942,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.1913783116","text":"Publisher Index Page"},{"id":379227,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.082763671875,\n              42.85985981506279\n            ],\n            [\n              -108.83056640625,\n              42.85985981506279\n            ],\n            [\n              -108.83056640625,\n              44.99588261816546\n            ],\n            [\n              -111.082763671875,\n              44.99588261816546\n            ],\n            [\n              -111.082763671875,\n              42.85985981506279\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"116","issue":"51","noUsgsAuthors":false,"publicationDate":"2019-11-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Geremia, Chris","contributorId":167003,"corporation":false,"usgs":false,"family":"Geremia","given":"Chris","email":"","affiliations":[],"preferred":false,"id":800813,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Merkle, Jerod","contributorId":172972,"corporation":false,"usgs":false,"family":"Merkle","given":"Jerod","affiliations":[{"id":35288,"text":"Wyoming Cooperative Fish and Wildlife Research Unit, University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":800814,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eacker, Daniel R.","contributorId":189250,"corporation":false,"usgs":false,"family":"Eacker","given":"Daniel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":800815,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wallen, Rick L.","contributorId":169529,"corporation":false,"usgs":false,"family":"Wallen","given":"Rick","email":"","middleInitial":"L.","affiliations":[{"id":5106,"text":"National Park Service, Yellowstone National Park, Mammoth, Wyoming 82190","active":true,"usgs":false}],"preferred":false,"id":800816,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"White, P. J.","contributorId":242797,"corporation":false,"usgs":false,"family":"White","given":"P.","email":"","middleInitial":"J.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":800817,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hebblewhite, Mark","contributorId":190188,"corporation":false,"usgs":false,"family":"Hebblewhite","given":"Mark","email":"","affiliations":[],"preferred":false,"id":800818,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kauffman, Matthew J. 0000-0003-0127-3900 mkauffman@usgs.gov","orcid":"https://orcid.org/0000-0003-0127-3900","contributorId":189179,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew J.","email":"mkauffman@usgs.gov","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":800819,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70212607,"text":"70212607 - 2019 - Simulating land cover change impacts on groundwater recharge under selected climate projections, Maui, Hawaiʻi","interactions":[],"lastModifiedDate":"2020-08-24T13:35:16.949522","indexId":"70212607","displayToPublicDate":"2019-12-17T08:30:15","publicationYear":"2019","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":"Simulating land cover change impacts on groundwater recharge under selected climate projections, Maui, Hawaiʻi","docAbstract":"<div class=\"art-abstract in-tab hypothesis_container\">This project developed an integrated land cover/hydrological modeling framework using remote sensing and geographic information systems (GIS) data, stakeholder input, climate information and projections, and empirical data to estimate future groundwater recharge on the Island of Maui, Hawaiʻi, USA. End-of-century mean annual groundwater recharge was estimated under four future land cover scenarios: Future 1 (conservation-focused), Future 2 (status-quo), Future 3 (development-focused), and Future 4 (balanced conservation and development), and two downscaled climate projections: a coupled model intercomparison project (CMIP) phase 5 (CMIP5) representative concentration pathway (RCP) 8.5 “dry climate” future and a CMIP3 A1B “wet climate” future. Results were compared to recharge estimated using the 2017 baseline land cover to understand how changing land management and climate could influence groundwater recharge. Estimated recharge increased island-wide under all future land cover and climate combinations and was dominated by specific land cover transitions. For the dry future climate, recharge for land cover Futures 1 to 4 increased by 12%, 0.7%, 0.01%, and 11% relative to 2017 land cover conditions, respectively. Corresponding increases under the wet future climate were 10%, 0.9%, 0.6%, and 9.3%. Conversion from fallow/grassland to diversified agriculture increased irrigation, and therefore recharge. Above the cloud zone (610 m), conversion from grassland to native or alien forest led to increased fog interception, which increased recharge. The greatest changes to recharge occurred in Futures 1 and 4 in areas where irrigation increased, and where forest expanded within the cloud zone. Furthermore, new future urban expansion is currently slated for coastal areas that are already water-stressed and had low recharge projections. This study demonstrated that a spatially-explicit scenario planning process and modeling framework can communicate the possible consequences and tradeoffs of land cover change under a changing climate, and the outputs from this study serve as relevant tools for landscape-level management and interventions.<span>&nbsp;</span></div>","language":"English","publisher":"MDPI","doi":"10.3390/rs11243048","usgsCitation":"Brewington, L., Keener, V., and Mair, A., 2019, Simulating land cover change impacts on groundwater recharge under selected climate projections, Maui, Hawaiʻi: Remote Sensing, v. 11, no. 24, 3048, 23 p., https://doi.org/10.3390/rs11243048.","productDescription":"3048, 23 p.","ipdsId":"IP-114153","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":458944,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs11243048","text":"Publisher Index Page"},{"id":437258,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P976IWWS","text":"USGS data release","linkHelpText":"Mean annual water-budget components for the Island of Maui, Hawaii, for a set of eight future climate and land-cover scenarios"},{"id":377781,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Maui","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -156.70074462890625,\n              20.53507732696281\n            ],\n            [\n              -155.9454345703125,\n              20.53507732696281\n            ],\n            [\n              -155.9454345703125,\n              21.099875492701216\n            ],\n            [\n              -156.70074462890625,\n              21.099875492701216\n            ],\n            [\n              -156.70074462890625,\n              20.53507732696281\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"11","issue":"24","noUsgsAuthors":false,"publicationDate":"2019-12-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Brewington, Laura","contributorId":239493,"corporation":false,"usgs":false,"family":"Brewington","given":"Laura","email":"","affiliations":[{"id":13398,"text":"East-West Center","active":true,"usgs":false}],"preferred":false,"id":797066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keener, Victoria","contributorId":212170,"corporation":false,"usgs":false,"family":"Keener","given":"Victoria","affiliations":[{"id":38447,"text":"East-West Center, Honolulu, Hawai`i","active":true,"usgs":false}],"preferred":false,"id":797067,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mair, Alan 0000-0003-0302-6647 dmair@usgs.gov","orcid":"https://orcid.org/0000-0003-0302-6647","contributorId":4975,"corporation":false,"usgs":true,"family":"Mair","given":"Alan","email":"dmair@usgs.gov","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":797068,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70207441,"text":"70207441 - 2019 - Ecological effects of establishing a 40-year oasis protection system in a Northwestern China Desert","interactions":[],"lastModifiedDate":"2019-12-19T13:19:31","indexId":"70207441","displayToPublicDate":"2019-12-16T13:17:57","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1198,"text":"Catena","active":true,"publicationSubtype":{"id":10}},"title":"Ecological effects of establishing a 40-year oasis protection system in a Northwestern China Desert","docAbstract":"Aims: Desertification around oasis areas is a serious problem in semi-arid and arid regions, which is expected to continue into the future due to a rapidly increasing human population. Oasis protection systems are created to reverse desertification by recovering degraded soil and vegetation properties and improving ecosystem services. Most research has focused on the short-term effects of a single restoration practice using an individual vegetation or soil metric, while more complete assessments along a gradient of an entire oasis protection system have seldom been studied. In this study, soil and vegetation properties were measured along a 40-year oasis-protection system to assess the effectiveness of increasing land protection belts along a gradient from prohibiting grazing, to fencing shrubland, to establishing shrub- and tree-plantations in northwestern China. \nMethods: Three sites in each belt of the oasis-protection system were selected to measure soil texture, soil organic carbon, total nitrogen, total phosphorus, pH, electrical conductivity, and eight ions under the plant canopy and in the inter-canopy area, as well as to investigate plant community composition, diversity and productivity. Wind velocity and sand transportation rates were measured in each of the five belts during storm events.\nResults: Compared with shifting dunes in unprotected desert settings, the wind velocity and sand transportation rate decreased by 75 and 98%, respectively, when spring storms passed through the most protected plantation belts in the oasis system. Soil organic carbon, total nitrogen, total phosphorus significantly increased, along with the silt and clay contents, across the protection gradient, and reached their highest levels at the shrub- and tree-plantation belts. Similarly, the density, cover, and biomass of herbaceous plants also increased along the gradient. Despite these positive effects, there was a significant increase in soil salinity, sodicity, and desiccation at the shrub- and tree-plantation belts, which may negatively affect the future sustainability of the oasis-protection system under a predicted future drier and warming climate. \nConclusions Although shrub and tree plantations improve soil fertility and favor the development of the herbaceous plant community, their environmental consequences (i.e., soil salinization and desiccation) need to be evaluated in the context of ecosystem restoration over the long-term, especially in arid regions.","language":"English","publisher":"Elsevier","doi":"10.1016/j.catena.2019.104374","usgsCitation":"Wang, G., Munson, S.M., Yu, K., Chen, N., and Gou, Q., 2019, Ecological effects of establishing a 40-year oasis protection system in a Northwestern China Desert: Catena, v. 187, 104374, 13 p., https://doi.org/10.1016/j.catena.2019.104374.","productDescription":"104374, 13 p.","ipdsId":"IP-108327","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":467311,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.catena.2019.104374","text":"Publisher Index Page"},{"id":370500,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              87.1875,\n              30.14512718337613\n            ],\n            [\n              114.60937499999999,\n              42.293564192170095\n            ],\n            [\n              107.75390625,\n              45.336701909968134\n            ],\n            [\n              95.2734375,\n              45.336701909968134\n            ],\n            [\n              81.38671875,\n              43.32517767999296\n            ],\n            [\n              72.59765625,\n              40.17887331434696\n            ],\n            [\n              74.00390625,\n              36.73888412439431\n            ],\n            [\n              79.62890625,\n              31.052933985705163\n            ],\n            [\n              83.3203125,\n              28.613459424004414\n            ],\n            [\n              87.1875,\n              30.14512718337613\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"187","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wang, Guohua","contributorId":221397,"corporation":false,"usgs":false,"family":"Wang","given":"Guohua","email":"","affiliations":[{"id":40361,"text":"(1) College of Geographical Sciences, Shanxi Normal University, Linfen 041004, China; (2) Linze Inland River Basin Research Station, Chinese Academy of Science, Lanzhou 730000, China","active":true,"usgs":false}],"preferred":false,"id":778046,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":778047,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yu, Kailiang","contributorId":221398,"corporation":false,"usgs":false,"family":"Yu","given":"Kailiang","email":"","affiliations":[{"id":40362,"text":"Department of Environmental Sciences, University of Virginia, Charlottesville, VA 22904, USA","active":true,"usgs":false}],"preferred":false,"id":778048,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chen, Ning","contributorId":221399,"corporation":false,"usgs":false,"family":"Chen","given":"Ning","email":"","affiliations":[{"id":40363,"text":"College of Life Sciences, Lanzhou University, Lanzhou 730000, China","active":true,"usgs":false}],"preferred":false,"id":778049,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gou, Qianqian","contributorId":221400,"corporation":false,"usgs":false,"family":"Gou","given":"Qianqian","email":"","affiliations":[{"id":40364,"text":"College of Geographical Sciences, Shanxi Normal University, Linfen 041004, China","active":true,"usgs":false}],"preferred":false,"id":778050,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70225713,"text":"70225713 - 2019 - Deglacial water-table decline in Southern California recorded by noble gas isotopes","interactions":[],"lastModifiedDate":"2021-11-04T14:08:30.778075","indexId":"70225713","displayToPublicDate":"2019-12-16T09:04:49","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Deglacial water-table decline in Southern California recorded by noble gas isotopes","docAbstract":"<p><span>Constraining the magnitude of past hydrological change may improve understanding and predictions of future shifts in water availability. Here we demonstrate that water-table depth, a sensitive indicator of hydroclimate, can be quantitatively reconstructed using Kr and Xe isotopes in groundwater. We present the first-ever measurements of these dissolved noble gas isotopes in groundwater at high precision (≤0.005‰ amu</span><sup>−1</sup><span>; 1σ), which reveal depth-proportional signals set by gravitational settling in soil air at the time of recharge. Analyses of California groundwater successfully reproduce modern groundwater levels and indicate a 17.9 ± 1.3 m (±1 SE) decline in water-table depth in Southern California during the last deglaciation. This hydroclimatic transition from the wetter glacial period to more arid Holocene accompanies a surface warming of 6.2 ± 0.6 °C (±1 SE). This new hydroclimate proxy builds upon an existing paleo-temperature application of noble gases and may identify regions prone to future hydrological change.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41467-019-13693-2","usgsCitation":"Seltzer, A.M., Ng, J., Danskin, W.R., Kulongoski, J.T., Gannon, R., Stute, M., and Severinghaus, J.P., 2019, Deglacial water-table decline in Southern California recorded by noble gas isotopes: Nature Communications, v. 10, 5739, 6 p., https://doi.org/10.1038/s41467-019-13693-2.","productDescription":"5739, 6 p.","ipdsId":"IP-108743","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":458949,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-019-13693-2","text":"Publisher Index Page"},{"id":391384,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"San Diego","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.44384765625,\n              32.56996256044998\n            ],\n            [\n              -116.663818359375,\n              32.56996256044998\n            ],\n            [\n              -116.663818359375,\n              32.99484290420988\n            ],\n            [\n              -117.44384765625,\n              32.99484290420988\n            ],\n            [\n              -117.44384765625,\n              32.56996256044998\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"10","noUsgsAuthors":false,"publicationDate":"2019-12-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Seltzer, Alan M.","contributorId":192321,"corporation":false,"usgs":false,"family":"Seltzer","given":"Alan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":826385,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ng, Jessica","contributorId":268304,"corporation":false,"usgs":false,"family":"Ng","given":"Jessica","email":"","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":826386,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Danskin, Wesley R. 0000-0001-8672-5501 wdanskin@usgs.gov","orcid":"https://orcid.org/0000-0001-8672-5501","contributorId":1034,"corporation":false,"usgs":true,"family":"Danskin","given":"Wesley","email":"wdanskin@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":826387,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kulongoski, Justin T. 0000-0002-3498-4154 kulongos@usgs.gov","orcid":"https://orcid.org/0000-0002-3498-4154","contributorId":173457,"corporation":false,"usgs":true,"family":"Kulongoski","given":"Justin","email":"kulongos@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":826388,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gannon, Riley 0000-0002-1239-1083","orcid":"https://orcid.org/0000-0002-1239-1083","contributorId":205967,"corporation":false,"usgs":true,"family":"Gannon","given":"Riley","email":"","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":826389,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stute, Martin","contributorId":131127,"corporation":false,"usgs":false,"family":"Stute","given":"Martin","email":"","affiliations":[{"id":7254,"text":"Columbia University - Lamont Doherty Earth Observatory","active":true,"usgs":false}],"preferred":false,"id":826390,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Severinghaus, Jeffery P. 0000-0001-8883-3119","orcid":"https://orcid.org/0000-0001-8883-3119","contributorId":268306,"corporation":false,"usgs":false,"family":"Severinghaus","given":"Jeffery","email":"","middleInitial":"P.","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":826391,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70228351,"text":"70228351 - 2019 - Evaluation of Potential Translocation Sites for an Imperiled Cyprinid, theHornyhead Chub","interactions":[],"lastModifiedDate":"2022-02-09T23:58:16.272557","indexId":"70228351","displayToPublicDate":"2019-12-15T17:52:09","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of Potential Translocation Sites for an Imperiled Cyprinid, theHornyhead Chub","docAbstract":"<p>Translocation of isolated species into suitable habitats may help secure vulnerable, geographically limited species. Due to the decline of Wyoming Hornyhead Chub <i>Nocomis biguttatus</i>, conservation actions such as translocation of populations within the plausible historical range are being considered to improve population redundancy and resiliency to disturbance events. Translocation of Wyoming Hornyhead Chub must be rigorously evaluated because a hatchery stock does not exist, so all fish used in translocations will come from the wild population. We present an approach to identify best available translocation sites prior to translocation efforts taking place. We evaluated fish community composition and habitat conditions at 54 potential translocation sites for Hornyhead Chub within 12 streams of the North Platte River Basin of Wyoming. We used two analyses to identify translocation sites most similar to currently occupied Hornyhead Chub sites on the Laramie River: hurdle models to predict hypothetical abundance of Hornyhead Chub at translocation sites and non-metric multidimensional scaling (NMDS) with fish community and habitat conditions. Presence and abundance of Hornyhead Chub was related to lack of nonnative predators and habitat features characteristic of backwater and velocity refuge habitats. We used a rank scoring system to weight the outcomes of each analysis and the highest ranking translocation sites occurred at a historical locality, the Sweetwater River. Our approach may be appropriate for other at-risk species with isolated distributions and little historical data.</p>","language":"English","doi":"10.1002/nafm.10261","usgsCitation":"Hickerson, B.T., and Walters, A.W., 2019, Evaluation of Potential Translocation Sites for an Imperiled Cyprinid, theHornyhead Chub: Transactions of the American Fisheries Society, v. 39, p. 205-218, https://doi.org/10.1002/nafm.10261.","productDescription":"14 p.","startPage":"205","endPage":"218","ipdsId":"IP-098524","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":395754,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Laramie River, North Platte River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.38635253906249,\n              41.970722347928096\n            ],\n            [\n              -104.54315185546875,\n              41.970722347928096\n            ],\n            [\n              -104.54315185546875,\n              42.20817645934742\n            ],\n            [\n              -105.38635253906249,\n              42.20817645934742\n            ],\n            [\n              -105.38635253906249,\n              41.970722347928096\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"39","noUsgsAuthors":false,"publicationDate":"2019-02-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Hickerson, Brian T.","contributorId":275272,"corporation":false,"usgs":false,"family":"Hickerson","given":"Brian","email":"","middleInitial":"T.","affiliations":[{"id":40829,"text":"uwy","active":true,"usgs":false}],"preferred":false,"id":833909,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":833908,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70209359,"text":"70209359 - 2019 - Direct measurements of copper speciation in basaltic glasses: Understanding the relative roles of sulfur and oxygen in copper complexation in melts","interactions":[],"lastModifiedDate":"2020-04-03T14:44:31.515624","indexId":"70209359","displayToPublicDate":"2019-12-15T16:21:03","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Direct measurements of copper speciation in basaltic glasses: Understanding the relative roles of sulfur and oxygen in copper complexation in melts","docAbstract":"Micro-analytical determination of copper (Cu) speciation in natural magmatic glasses, equilibrated below the nickel – nickel oxide (NNO) buffer, reveals that two copper species are commonly stabilized in such basaltic melts. X-ray absorption fine structure (XAFS) spectroscopic analysis of basaltic matrix glasses and melt inclusions (MI) from samples of mid-ocean ridge basalt (MORB), and from Nyamuragira, Etna and Kīlauea volcanoes show that both Cu(I)-sulfide and Cu(I)-oxide species are stabilized. The proportion of each species correlates with the measured sulfur (S) abundance of the glass. In glasses with S abundances greater than ~1000 ppm, Cu(I)-sulfide species are dominant, whereas in glasses with S abundances between 500 and 1000 ppm, both species are found to coexist. The Cu(I)-oxide species dominate at S concentrations below 500 ppm. In 1 atm S-free experimental glasses of basaltic composition that we analyzed, only Cu(I)-oxide species are detectable, regardless of the oxygen fugacity (fO2), even at relatively high fO2 values well above the NNO buffer. Our results demonstrate that XAFS techniques are highly sensitive in measuring Cu speciation in reduced (below NNO) basaltic glasses and that both oxide and sulfide complexes can be stabilized. The relative proportion of these two species is highly dependent on the concentration of S in the melt, and thus the Cu speciation in natural melts changes as S is lost from the melt by low pressure degassing.","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2019.09.029","collaboration":"","usgsCitation":"Lanzirotti, A., Lee, R., Head, E., Sutton, S.R., Newville, M., McCanta, M., Lerner, A., and Wallace, P.J., 2019, Direct measurements of copper speciation in basaltic glasses: Understanding the relative roles of sulfur and oxygen in copper complexation in melts: Geochimica et Cosmochimica Acta, v. 267, p. 164-178, https://doi.org/10.1016/j.gca.2019.09.029.","productDescription":"15 p.","startPage":"164","endPage":"178","ipdsId":"IP-111569","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":458952,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1693600","text":"Publisher Index Page"},{"id":373740,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Nyamuragira, Etna and Kīlauea volcanoes","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.3034210205078,\n              19.3869432241507\n            ],\n            [\n              -155.22926330566406,\n              19.3869432241507\n            ],\n            [\n              -155.22926330566406,\n              19.445226820142476\n            ],\n            [\n              -155.3034210205078,\n              19.445226820142476\n            ],\n            [\n              -155.3034210205078,\n              19.3869432241507\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.19561767578125,\n              19.350667338738496\n            ],\n            [\n              -155.11802673339844,\n              19.350667338738496\n            ],\n            [\n              -155.11802673339844,\n              19.37657950943961\n            ],\n            [\n              -155.19561767578125,\n              19.37657950943961\n            ],\n            [\n              -155.19561767578125,\n              19.350667338738496\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"267","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lanzirotti, Antonio 0000-0002-7597-5924","orcid":"https://orcid.org/0000-0002-7597-5924","contributorId":223780,"corporation":false,"usgs":false,"family":"Lanzirotti","given":"Antonio","email":"","affiliations":[{"id":36705,"text":"University of Chicago","active":true,"usgs":false}],"preferred":false,"id":786293,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, R. Lopaka 0000-0002-6352-0340","orcid":"https://orcid.org/0000-0002-6352-0340","contributorId":215133,"corporation":false,"usgs":true,"family":"Lee","given":"R. 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,{"id":70215096,"text":"70215096 - 2019 - Time to branch out? Application of hierarchical survival models in plant phenology","interactions":[],"lastModifiedDate":"2020-10-08T11:54:37.37837","indexId":"70215096","displayToPublicDate":"2019-12-15T14:38:28","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":681,"text":"Agricultural and Forest Meteorology","active":true,"publicationSubtype":{"id":10}},"title":"Time to branch out? Application of hierarchical survival models in plant phenology","docAbstract":"The sensitivity of phenology to environmental drivers can vary across geography and species. As such, models developed to predict phenology are typically site- or taxon-specific. Generation of site- and taxon-specific models is limited by the intensive in-situ phenological monitoring effort required to generate sufficient data to parameterize each model. Where in-situ phenological observations exist, the data are often subject to analytical issues due to the limited duration of any individual monitoring program, spotty site- and species- level coverage, lack of standardized methodology, and infrequent or variable census intervals. Together, these characteristics constrain our ability to make phenological inferences outside of select sites and taxa where long-duration, intensive monitoring has occurred.  In this study, we leveraged two national, standardized phenology datasets to develop a multi-species and multi-site state-space survival model of the onset of deciduous tree and shrub spring (leaf out) and fall (leaf-color) events across temperate ecoregions of the United States. We used data from two national-scale phenological databases, a 9-year, broadly distributed dataset from the USA National Phenology Network and a 4-year dataset from the National Ecological Observatory Network, to quantify regional and interspecific variation in sensitivity to environmental drivers for both spring and fall leaf phenophases. Spring leaf out was generally promoted by longer days, spring growing degree day accumulation, overwinter chilling, and was suppressed by frost events, whereas fall leaf color was promoted by shorter days and cold accumulation. The sensitivity to most environmental drivers tended to be more variable among species than among the regions as defined here (EPA ecoregions of North America, excluding desert and tropical areas). The results of this study lay the groundwork for incorporating the growing collection of phenological observations into a generalized framework for predicting the transition states for any species, in any location.","language":"English","publisher":"Elsevier","doi":"10.1016/j.agrformet.2019.107694","usgsCitation":"Elmendorf, S., Crimmins, T., Gerst, K.L., and Weltzin, J., 2019, Time to branch out? Application of hierarchical survival models in plant phenology: Agricultural and Forest Meteorology, v. 279, 107694, 8 p., https://doi.org/10.1016/j.agrformet.2019.107694.","productDescription":"107694, 8 p.","ipdsId":"IP-107695","costCenters":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true}],"links":[{"id":458954,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.agrformet.2019.107694","text":"Publisher Index Page"},{"id":379194,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"279","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Elmendorf, Sarah","contributorId":147651,"corporation":false,"usgs":false,"family":"Elmendorf","given":"Sarah","affiliations":[{"id":16880,"text":"National Ecological Observatory Network (NEON), 1685 38th St., Boulder, CO 80301, USA","active":true,"usgs":false}],"preferred":false,"id":800827,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crimmins, Theresa 0000-0001-9592-625X","orcid":"https://orcid.org/0000-0001-9592-625X","contributorId":222414,"corporation":false,"usgs":false,"family":"Crimmins","given":"Theresa","email":"","affiliations":[{"id":40537,"text":"USA National Phenology Network, National Coordinating Office; University of Arizona, School of Natural Resources and the Environment","active":true,"usgs":false}],"preferred":false,"id":800828,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gerst, Katharine L.","contributorId":175227,"corporation":false,"usgs":false,"family":"Gerst","given":"Katharine","email":"","middleInitial":"L.","affiliations":[{"id":27543,"text":"National Phenology Network, University of Arizona","active":true,"usgs":false}],"preferred":false,"id":800829,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weltzin, Jake 0000-0001-8641-6645 jweltzin@usgs.gov","orcid":"https://orcid.org/0000-0001-8641-6645","contributorId":196323,"corporation":false,"usgs":true,"family":"Weltzin","given":"Jake","email":"jweltzin@usgs.gov","affiliations":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":800830,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70202009,"text":"70202009 - 2019 - Rare earth element deposits in China: A review and new understandings","interactions":[],"lastModifiedDate":"2021-09-01T14:53:03.106507","indexId":"70202009","displayToPublicDate":"2019-12-15T09:48:40","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"12","title":"Rare earth element deposits in China: A review and new understandings","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Mineral deposits of China","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Society of Economic Geologists","usgsCitation":"Xie, Y., Verplanck, P., Hou, Z., and Zhong, R., 2019, Rare earth element deposits in China: A review and new understandings, chap. 12 <i>of</i> Mineral deposits of China, p. 509-552.","productDescription":"44 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Beijing","active":true,"usgs":false}],"preferred":false,"id":756643,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhong, Richen","contributorId":212815,"corporation":false,"usgs":false,"family":"Zhong","given":"Richen","email":"","affiliations":[{"id":38687,"text":"University of Science and Technology Beijing, Beijing","active":true,"usgs":false}],"preferred":false,"id":756644,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70216009,"text":"70216009 - 2019 - High rates of inflation during a noneruptive episode of seismic unrest at Semisopochnoi Volcano, Alaska in 2014–2015","interactions":[],"lastModifiedDate":"2020-11-11T14:35:23.35128","indexId":"70216009","displayToPublicDate":"2019-12-15T07:30:28","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"High rates of inflation during a noneruptive episode of seismic unrest at Semisopochnoi Volcano, Alaska in 2014–2015","docAbstract":"<p><span>Magma intrusion rate is a key parameter in eruption triggering but is poorly quantified in existing geodetic studies. Here we examine two episodes of rapid inflation in this context. Two noneruptive microseismic swarms were recorded at Semisopochnoi Volcano, Alaska in 2014–2015. We use differential SAR techniques and TerraSAR‐X images to document surface deformation from 2011 to 2015, which comprises island‐wide radial inflation totaling ~25 cm (+/−1 cm) line of sight displacement in 2014–2015. Multiple source geometries are tested in an inversion of the deformation data, and InSAR data are best fit by a spheroid trending to the northeast and plunging to the southeast, with a major axis of ~4 km and minor axes of ~1 km, directly under the central caldera of Semisopochnoi. In 2014, a modeled influx of 0.043 km</span><sup>3</sup><span>&nbsp;of magma caused line of sight displacement of ~17 cm. This magma was stored at a depth of ~8 km, until 2015 when 0.029 km</span><sup>3</sup><span>&nbsp;was added. Along with the definition of inflation source parameters, the recorded seismic events are relocated using differential travel times. These relocated events outline a linear aseismic area within a larger zone of shallow (&lt;10 km) seismicity. This aseismic region aligns with the centroid of the deformation model. Based on these geodetic and seismic models, the plumbing system at Semisopochnoi is interpreted as a spheroidal magma storage zone at a depth of ˜8 km below a linear feature of partial melt. The observed deformation and seismicity appear to result from rapid injection into this main storage region.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019GC008720","usgsCitation":"Degrandpre, K., Pesicek, J.D., Lu, Z., DeShon, H.R., and Roman, D., 2019, High rates of inflation during a noneruptive episode of seismic unrest at Semisopochnoi Volcano, Alaska in 2014–2015: Journal of Geophysical Research, v. 20, no. 12, p. 6163-6186, https://doi.org/10.1029/2019GC008720.","productDescription":"24 p.","startPage":"6163","endPage":"6186","ipdsId":"IP-098799","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":380068,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Semisopochnoi Volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              179.47265625,\n              51.839171715043946\n            ],\n            [\n              179.77203369140625,\n              51.839171715043946\n            ],\n            [\n              179.77203369140625,\n              52.04742324502936\n            ],\n            [\n              179.47265625,\n              52.04742324502936\n            ],\n            [\n              179.47265625,\n              51.839171715043946\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"20","issue":"12","noUsgsAuthors":false,"publicationDate":"2019-12-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Degrandpre, Kimberly","contributorId":244311,"corporation":false,"usgs":false,"family":"Degrandpre","given":"Kimberly","email":"","affiliations":[{"id":20301,"text":"SMU","active":true,"usgs":false}],"preferred":false,"id":803746,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pesicek, Jeremy D. 0000-0001-7964-5845","orcid":"https://orcid.org/0000-0001-7964-5845","contributorId":202042,"corporation":false,"usgs":true,"family":"Pesicek","given":"Jeremy","email":"","middleInitial":"D.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":803747,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lu, Zhong","contributorId":199794,"corporation":false,"usgs":false,"family":"Lu","given":"Zhong","affiliations":[],"preferred":false,"id":803748,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeShon, Heather R.","contributorId":244313,"corporation":false,"usgs":false,"family":"DeShon","given":"Heather","email":"","middleInitial":"R.","affiliations":[{"id":20301,"text":"SMU","active":true,"usgs":false}],"preferred":false,"id":803749,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roman, Diana","contributorId":237832,"corporation":false,"usgs":false,"family":"Roman","given":"Diana","affiliations":[{"id":47620,"text":"Dept. of Terrestrial Magnetism, Carnegie Institution for Science, Washington DC 20015","active":true,"usgs":false}],"preferred":false,"id":803777,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70215201,"text":"70215201 - 2019 - Geometric targets for UAS Lidar","interactions":[],"lastModifiedDate":"2020-10-13T22:43:27.669449","indexId":"70215201","displayToPublicDate":"2019-12-14T11:14:56","publicationYear":"2019","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":"Geometric targets for UAS Lidar","docAbstract":"<p><span>Lidar from small unoccupied aerial systems (UAS) is a viable method for collecting geospatial data associated with a wide variety of applications. Point clouds from UAS lidar require a means for accuracy assessment, calibration, and adjustment. In order to carry out these procedures, specific locations within the point cloud must be precisely found. To do this, artificial targets may be used for rural settings, or anywhere there is a lack of identifiable and measurable features in the scene. This paper presents the design of lidar targets for precise location based on geometric structure. The targets and associated mensuration algorithm were tested in two scenarios to investigate their performance under different point densities, and different levels of algorithmic rigor. The results show that the targets can be accurately located within point clouds from typical scanning parameters to &lt;2 cm&nbsp;</span><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; display=&quot;inline&quot;><semantics><mrow><mi>&amp;#x3C3;</mi><mo>,</mo></mrow></semantics></math>\"><span id=\"MathJax-Span-1\" class=\"math\"><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"semantics\"><span id=\"MathJax-Span-4\" class=\"mrow\"><span id=\"MathJax-Span-5\" class=\"mi\">σ</span><span id=\"MathJax-Span-6\" class=\"mo\">,</span></span></span></span></span></span></span><span>&nbsp;</span><span>and that including observation weights in the algorithm based on propagated point position uncertainty leads to more accurate results.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/rs11243019","usgsCitation":"Wilkinson, B., Lassiter, H., Abd-Elrahman, A., Carthy, R., Ifju, P., Broadbent, E., and Grimes, N., 2019, Geometric targets for UAS Lidar: Remote Sensing, v. 11, no. 24, 3019, 20 p., https://doi.org/10.3390/rs11243019.","productDescription":"3019, 20 p.","ipdsId":"IP-112846","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":458957,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs11243019","text":"Publisher Index Page"},{"id":379307,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"24","noUsgsAuthors":false,"publicationDate":"2019-12-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Wilkinson, B.","contributorId":242941,"corporation":false,"usgs":false,"family":"Wilkinson","given":"B.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":801156,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lassiter, H.A.","contributorId":242942,"corporation":false,"usgs":false,"family":"Lassiter","given":"H.A.","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":801157,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abd-Elrahman, A.","contributorId":242943,"corporation":false,"usgs":false,"family":"Abd-Elrahman","given":"A.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":801158,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carthy, Raymond 0000-0001-8978-5083","orcid":"https://orcid.org/0000-0001-8978-5083","contributorId":219303,"corporation":false,"usgs":true,"family":"Carthy","given":"Raymond","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":801159,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ifju, P.","contributorId":242944,"corporation":false,"usgs":false,"family":"Ifju","given":"P.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":801160,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Broadbent, E.","contributorId":242945,"corporation":false,"usgs":false,"family":"Broadbent","given":"E.","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":801161,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Grimes, N.","contributorId":242946,"corporation":false,"usgs":false,"family":"Grimes","given":"N.","email":"","affiliations":[{"id":36403,"text":"University of Illinois","active":true,"usgs":false}],"preferred":false,"id":801162,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70209063,"text":"70209063 - 2019 - Characterization of immunoglobulin light chain utilization and variable family diversity in rainbow trout","interactions":[],"lastModifiedDate":"2020-03-13T07:04:11","indexId":"70209063","displayToPublicDate":"2019-12-14T07:03:13","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1383,"text":"Developmental and Comparative Immunology","active":true,"publicationSubtype":{"id":10}},"title":"Characterization of immunoglobulin light chain utilization and variable family diversity in rainbow trout","docAbstract":"This study characterizes immunoglobulin light chain (IgL) expression and variable family usage in rainbow trout. IgL transcripts were generated by 5’ RACE from both immune and TNP-KLH immunized fish. Phylogenetic analysis revealed that the IgL variable regions clustered into seven different families: three kappa families (two newly described in this study), three sigma families, and a single lambda family. IgL1 and IgL3 transcripts expressing identical variable regions were identified and genomic analysis revealed that the two isotypes are co-localized on chromosomes 7, 15, 18, and 21 allowing for potential rearrangement between clusters. Fish were immunized with TNP-KLH (n = 5) and percent expression of IgL1, IgL2, IgL3, and IgL4 measured by qRT-PCR from immune tissues and magnetically sorted TNP-specific lymphocyte populations. In all samples IgL1 constituted 80–95% of the transcripts. The percentage of anti-TNP specific IgL1 transcripts was measured in naïve, unsorted, and TNP-specific cell populations of TNP-KLH fish (n = 3) and found to be significantly higher in the TNP positive cell population (21%) compared to the naïve population (1%; p = 0.02) suggesting that there is a selection of TNP specific IgL sequences.","language":"English","publisher":"Elsevier","doi":"10.1016/j.dci.2019.103566","usgsCitation":"Rego, K., Bengten, E., Wilson, M., Hansen, J.D., and Bromage, E., 2019, Characterization of immunoglobulin light chain utilization and variable family diversity in rainbow trout: Developmental and Comparative Immunology, v. 104, 103566, 11 p., https://doi.org/10.1016/j.dci.2019.103566.","productDescription":"103566, 11 p.","ipdsId":"IP-110839","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":458959,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.dci.2019.103566","text":"Publisher Index Page"},{"id":373231,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"104","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rego, Katherine","contributorId":223250,"corporation":false,"usgs":false,"family":"Rego","given":"Katherine","email":"","affiliations":[{"id":40692,"text":"Department of Biology University of Massachusetts Dartmouth","active":true,"usgs":false}],"preferred":false,"id":784682,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bengten, Eva","contributorId":223251,"corporation":false,"usgs":false,"family":"Bengten","given":"Eva","email":"","affiliations":[{"id":40693,"text":"Department of Microbiology and Immunology, University of Mississippi Medical Center, Jackson, MS","active":true,"usgs":false}],"preferred":false,"id":784683,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Melanie","contributorId":223252,"corporation":false,"usgs":false,"family":"Wilson","given":"Melanie","email":"","affiliations":[{"id":40693,"text":"Department of Microbiology and Immunology, University of Mississippi Medical Center, Jackson, MS","active":true,"usgs":false}],"preferred":false,"id":784684,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hansen, John D. 0000-0002-3006-2734 jhansen@usgs.gov","orcid":"https://orcid.org/0000-0002-3006-2734","contributorId":3440,"corporation":false,"usgs":true,"family":"Hansen","given":"John","email":"jhansen@usgs.gov","middleInitial":"D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":784685,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bromage, Erin S","contributorId":223254,"corporation":false,"usgs":false,"family":"Bromage","given":"Erin S","affiliations":[{"id":40692,"text":"Department of Biology University of Massachusetts Dartmouth","active":true,"usgs":false}],"preferred":false,"id":784686,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70207382,"text":"70207382 - 2019 - Validating a landsat time-series of fractional component cover across western U.S. Rangelands","interactions":[],"lastModifiedDate":"2022-02-16T21:32:14.39285","indexId":"70207382","displayToPublicDate":"2019-12-13T19:22:20","publicationYear":"2019","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":"Validating a landsat time-series of fractional component cover across western U.S. Rangelands","docAbstract":"Western U.S. rangelands have been quantified as six fractional cover (0%–100%) components\nover the Landsat archive (1985–2018) at a 30 m resolution, termed the “Back-in-Time” (BIT) dataset. Robust validation through space and time is needed to quantify product accuracy. Here, we used field data collected concurrently with high-resolution satellite (HRS) images over multiple locations (n = 42) and years. Field observations were used to train regression tree models, predicting the component cover across each HRS image. Our objectives were to evaluate the spatial and temporal relationships between HRS and BIT component cover and compare spatio-temporal climate responses. First, for each HRS site-year (n = 77) we averaged both the HRS and BIT predictions within each site separately and regressed the averages to quantify the temporal accuracy. Next, we regressed individual pixel values of corresponding HRS and BIT predictions to quantify the spatio-temporal accuracy. Results showed strong temporal correlations with an average R2 of 0.63 and Root Mean Square Error (RMSE) of 5.47% as well as strong spatio-temporal correlations with an average R2 of 0.52 and RMSE of 7.89% across components. Our approach increased the validation sample size relative to direct comparison of field observations. Validation results showed robust spatio-temporal relationships between HRS and BIT data, providing increased user confidence in the data.","language":"English","publisher":"MPDI","doi":"10.3390/rs11243009","usgsCitation":"Rigge, M.B., Homer, C.G., Shi, H., and Meyer, D.K., 2019, Validating a landsat time-series of fractional component cover across western U.S. Rangelands: Remote Sensing, v. 11, no. 24, 3009, 16 p.; Data release, https://doi.org/10.3390/rs11243009.","productDescription":"3009, 16 p.; Data release","ipdsId":"IP-113763","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":458961,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs11243009","text":"Publisher Index Page"},{"id":370436,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":396049,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90Q8BCP","text":"USGS data release","description":"USGS data release","linkHelpText":"Temporal and Spatio-Temporal High-Resolution Satellite Data for the Validation of a Landsat Time-Series of Fractional Component Cover Across Western United States (U.S.) Rangelands"}],"country":"Unites States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.05859375,\n              38.89103282648846\n            ],\n            [\n              -115.31249999999999,\n              38.89103282648846\n            ],\n            [\n              -115.31249999999999,\n              42.09822241118974\n            ],\n            [\n              -120.05859375,\n              42.09822241118974\n            ],\n            [\n              -120.05859375,\n              38.89103282648846\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.533203125,\n              41.04621681452063\n            ],\n            [\n              -103.974609375,\n              41.04621681452063\n            ],\n            [\n              -103.974609375,\n              45.213003555993964\n            ],\n            [\n              -111.533203125,\n              45.213003555993964\n            ],\n            [\n              -111.533203125,\n              41.04621681452063\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"11","issue":"24","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2019-12-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Rigge, Matthew B. 0000-0003-4471-8009 mrigge@usgs.gov","orcid":"https://orcid.org/0000-0003-4471-8009","contributorId":751,"corporation":false,"usgs":true,"family":"Rigge","given":"Matthew","email":"mrigge@usgs.gov","middleInitial":"B.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":777869,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Homer, Collin G. 0000-0003-4755-8135 homer@usgs.gov","orcid":"https://orcid.org/0000-0003-4755-8135","contributorId":2262,"corporation":false,"usgs":true,"family":"Homer","given":"Collin","email":"homer@usgs.gov","middleInitial":"G.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":777870,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shi, Hua 0000-0001-7013-1565 hshi@usgs.gov","orcid":"https://orcid.org/0000-0001-7013-1565","contributorId":646,"corporation":false,"usgs":true,"family":"Shi","given":"Hua","email":"hshi@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":777871,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meyer, Debra K. 0000-0002-8841-697X dkmeyer@usgs.gov","orcid":"https://orcid.org/0000-0002-8841-697X","contributorId":3145,"corporation":false,"usgs":true,"family":"Meyer","given":"Debra","email":"dkmeyer@usgs.gov","middleInitial":"K.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":777872,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70207565,"text":"70207565 - 2019 - Isolation of methylmercury using distillation and anion-exchange chromatography for isotopic analyses in natural matrices","interactions":[],"lastModifiedDate":"2020-02-06T11:27:15","indexId":"70207565","displayToPublicDate":"2019-12-13T13:16:06","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":764,"text":"Analytical and Bioanalytical Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Isolation of methylmercury using distillation and anion-exchange chromatography for isotopic analyses in natural matrices","docAbstract":"<p>The development of mercury (Hg) stable isotope measurements has enhanced the study of Hg sources and transformations in the environment. As a result of the mixing of inorganic Hg (iHg) and methylmercury (MeHg) species within organisms of the aquatic food web, understanding species-specific Hg stable isotopic compositions is of significant importance. The lack of MeHg isotope measurements is due to the analytical difficulty in the separation of the MeHg from the total Hg pool, with only a few methods having been tested over the past decade with varying degrees of success, and only a handful of environmentally relevant measurements. Here, we present a novel anion-exchange resin separation method using AG 1-X4 that further isolates MeHg from the sample matrix, following a distillation pretreatment, in order to obtain ambient MeHg stable isotopic compositions. This method avoids the use of organic reagents, does not require complex instrumentation, and is applicable across matrices. Separation tests across sediment, water, and biotic matrices showed acceptable recoveries (98 ± 5%,<span>&nbsp;</span><i>n</i><span>&nbsp;</span>= 54) and reproducible δ<sup>202</sup>Hg isotope results (2 SDs ≤ 0.15‰) down to 5 ng of MeHg. The measured MeHg pools in natural matrices, such as plankton and sediments, showed large deviations from the non-speciated total Hg measurement, indicating that there is an important isotopic shift during methylation that is not recorded by typical measurements, but is vital in order to assess sources of Hg during bioaccumulation.</p><div class=\"c-article-section__figure\" data-test=\"figure\" data-container-section=\"figure\"><br data-mce-bogus=\"1\"></div>","language":"English","publisher":"Springer","doi":"10.1007/s00216-019-02277-0","usgsCitation":"Rosera, T., Janssen, S., Tate, M., Lepak, R., Ogorek, J.M., DeWild, J.F., Babiarz, C.L., Krabbenhoft, D.P., and Hurley, J., 2019, Isolation of methylmercury using distillation and anion-exchange chromatography for isotopic analyses in natural matrices: Analytical and Bioanalytical Chemistry, v. 412, p. 681-690, https://doi.org/10.1007/s00216-019-02277-0.","productDescription":"10 p.","startPage":"681","endPage":"690","ipdsId":"IP-112844","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":437259,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LRHNL5","text":"USGS data release","linkHelpText":"Isolation of Methylmercury Using Distillation and Anion-Exchange Chromatography for Isotopic Analyses in Natural Matrices Data Release"},{"id":370682,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"412","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2019-12-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Rosera, Tylor 0000-0002-3611-4654","orcid":"https://orcid.org/0000-0002-3611-4654","contributorId":221507,"corporation":false,"usgs":true,"family":"Rosera","given":"Tylor","email":"","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":778504,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Janssen, Sarah E. 0000-0003-4432-3154","orcid":"https://orcid.org/0000-0003-4432-3154","contributorId":210991,"corporation":false,"usgs":true,"family":"Janssen","given":"Sarah E.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":778503,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tate, Michael T. 0000-0003-1525-1219 mttate@usgs.gov","orcid":"https://orcid.org/0000-0003-1525-1219","contributorId":3144,"corporation":false,"usgs":true,"family":"Tate","given":"Michael T.","email":"mttate@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":778505,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lepak, Ryan F. 0000-0003-2806-1895","orcid":"https://orcid.org/0000-0003-2806-1895","contributorId":210990,"corporation":false,"usgs":false,"family":"Lepak","given":"Ryan F.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":778506,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ogorek, Jacob M. 0000-0002-6327-0740 jmogorek@usgs.gov","orcid":"https://orcid.org/0000-0002-6327-0740","contributorId":4960,"corporation":false,"usgs":true,"family":"Ogorek","given":"Jacob","email":"jmogorek@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":778507,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"DeWild, John F. 0000-0003-4097-2798 jfdewild@usgs.gov","orcid":"https://orcid.org/0000-0003-4097-2798","contributorId":2525,"corporation":false,"usgs":true,"family":"DeWild","given":"John","email":"jfdewild@usgs.gov","middleInitial":"F.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":778508,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Babiarz, Christopher L. 0000-0002-6973-2387","orcid":"https://orcid.org/0000-0002-6973-2387","contributorId":213065,"corporation":false,"usgs":true,"family":"Babiarz","given":"Christopher","email":"","middleInitial":"L.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":778509,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":778510,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hurley, James P.","contributorId":147931,"corporation":false,"usgs":false,"family":"Hurley","given":"James P.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":778511,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70207246,"text":"70207246 - 2019 - Exposure and potential effects of pesticides and pharmaceuticals in protected streams of the US National Park Service southeast Region","interactions":[],"lastModifiedDate":"2020-01-20T11:54:41","indexId":"70207246","displayToPublicDate":"2019-12-13T12:31:10","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Exposure and Potential Effects of Pesticides and Pharmaceuticals in Protected Streams of the US National Park Service Southeast Region","title":"Exposure and potential effects of pesticides and pharmaceuticals in protected streams of the US National Park Service southeast Region","docAbstract":"Globally protected areas offer refugia for a broad range of taxa including threatened and endangered species. The United States National Park Service (NPS) manages public lands to preserve biodiversity, but increasing park visitation and development of surrounding landscapes increase exposure to and effects from bioactive contaminants. The risk (exposure and hazard) to NPS protected-stream ecosystems within the highly urbanized southeast region (SER) from bioactive contaminants was assessed in five systems based on 334 pesticide and pharmaceutical analytes in water and 119 pesticides in sediment. Contaminant mixtures were common across all sampled systems, with approximately 24% of the unique analytes (80/334) detected at least once and 15% (49/334) detected in half of the surface-water samples. Pharmaceuticals were observed more frequently than pesticides, consistent with riparian buffers and concomitant spatial separation from non-point pesticide sources in four of the systems. To extrapolate exposure data to biological effects space, site specific cumulative exposure-activity ratios (ΣEAR) were calculated for detected surface-water contaminants with available ToxCast data; common exceedances of a 0.001 ΣEAR effects-screening threshold raise concerns for molecular toxicity and possible, sub-lethal effects to non-target, aquatic vertebrates. The results illustrate the need for continued management of protected resources to reduce contaminant exposure and preserve habitat quality, including prioritization of conservation practices (riparian buffers) near stream corridors and increased engagement with upstream/up-gradient property owners and municipal wastewater facilities.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2019.135431","usgsCitation":"Bradley, P., Romanok, K., Duncan, J.R., Battaglin, W., Clark, J., Hladik, M.L., Huffman, B., Iwanowicz, L., Journey, C., and Smalling, K., 2019, Exposure and potential effects of pesticides and pharmaceuticals in protected streams of the US National Park Service southeast Region: Science of the Total Environment, v. 704, 135431, 12 p., https://doi.org/10.1016/j.scitotenv.2019.135431.","productDescription":"135431, 12 p.","ipdsId":"IP-105724","costCenters":[{"id":154,"text":"California Water Science 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Carolina, South Carolina, Tennessee","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.9375,\n              36.56260003738545\n            ],\n            [\n              -83.6279296875,\n              36.63316209558658\n            ],\n            [\n              -81.9140625,\n              37.50972584293751\n            ],\n            [\n              -82.7490234375,\n              38.54816542304656\n            ],\n            [\n              -85.078125,\n              39.30029918615029\n            ],\n            [\n              -89.3408203125,\n              37.125286284966805\n            ],\n            [\n              -89.9560546875,\n              35.460669951495305\n            ],\n            [\n              -91.318359375,\n              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             36.56260003738545\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"704","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bradley, Paul M. 0000-0001-7522-8606","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":221226,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":777433,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Romanok, Kristin M. 0000-0002-8472-8765","orcid":"https://orcid.org/0000-0002-8472-8765","contributorId":221227,"corporation":false,"usgs":true,"family":"Romanok","given":"Kristin M.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":777434,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duncan, Jeffrey R.","contributorId":221228,"corporation":false,"usgs":false,"family":"Duncan","given":"Jeffrey","email":"","middleInitial":"R.","affiliations":[{"id":33577,"text":"USNPS","active":true,"usgs":false}],"preferred":false,"id":777435,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Battaglin, William 0000-0001-7287-7096 wbattagl@usgs.gov","orcid":"https://orcid.org/0000-0001-7287-7096","contributorId":221233,"corporation":false,"usgs":true,"family":"Battaglin","given":"William","email":"wbattagl@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":777440,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clark, Jimmy 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Center","active":true,"usgs":true}],"preferred":true,"id":777437,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Iwanowicz, Luke 0000-0002-1197-6178","orcid":"https://orcid.org/0000-0002-1197-6178","contributorId":221231,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":777438,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Journey, Celeste A. 0000-0002-2284-5851","orcid":"https://orcid.org/0000-0002-2284-5851","contributorId":221232,"corporation":false,"usgs":true,"family":"Journey","given":"Celeste A.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":777439,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Smalling, Kelly L. 0000-0002-1214-4920","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":221234,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly","middleInitial":"L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":777441,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70207249,"text":"ofr20191128 - 2019 - Depth to bedrock based on modeling of gravity data of the eastern part of Edwards Air Force Base, California","interactions":[],"lastModifiedDate":"2019-12-14T06:09:21","indexId":"ofr20191128","displayToPublicDate":"2019-12-13T11:19:45","publicationYear":"2019","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":"2019-1128","displayTitle":"Depth to Bedrock Based on Modeling of Gravity Data of the Eastern Part of Edwards Air Force Base, California","title":"Depth to bedrock based on modeling of gravity data of the eastern part of Edwards Air Force Base, California","docAbstract":"We describe a gravity survey acquired to determine the thickness of basin-fill deposits (depth to bedrock) and to delineate geologic structures that might influence groundwater flow beneath the eastern part of Edwards Air Force Base, California. Inversion of these gravity data combined with geologic map and well information provides an estimate of the thickness of basin-fill deposits (defined here as Cenozoic sedimentary and volcanic rocks). After removing the gravitational effect of the basin-fill deposits, the inversion also results in a gravity map that reflects variations in the bedrock density. The depth to bedrock is generally less than 1 kilometer in the map area, except for localized depressions north and south of Kramer Hills, northwest-trending pockets about 4 kilometers northeast of Rogers Lake, and a large depression southwest of Rogers Lake. In the area near Leuhman Ridge, depth to bedrock is shallow. The Spring and Leuhman faults do not coincide with large variations in basin-fill thickness or with prominent gravity gradients, suggestive of minor vertical displacement and minor horizontal displacement at their southeastern mapped extents where they project across a large gravity low.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191128","collaboration":"Prepared in cooperation with the Air Force Civil Engineer Center","usgsCitation":"Langenheim, V.E., Morita, A., Christensen, A.H., Cromwell, G., and Ely, C., 2019, Depth to bedrock based on modeling of gravity data of the eastern part of Edwards Air Force Base, California: U.S. Geological Survey Open-File Report 2019–1128, 12 p., https://doi.org/10.3133/ofr20191128.\n","productDescription":"Report: iv, 12 p.; Dataset; Metadata","numberOfPages":"12","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-109233","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":370252,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1128/ofr20191128.pdf","text":"Report","size":"8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1128"},{"id":370253,"rank":3,"type":{"id":28,"text":"Dataset"},"url":"https://pubs.usgs.gov/of/2019/1128/ofr20191128_basementwells.csv","text":"Basement Wells","size":"5 KB","linkFileType":{"id":7,"text":"csv"},"description":"OFR 2019-1128"},{"id":370254,"rank":4,"type":{"id":28,"text":"Dataset"},"url":"https://pubs.usgs.gov/of/2019/1128/ofr20191128_basinwells.csv","text":"Basin Wells","size":"6.5 KB","linkFileType":{"id":7,"text":"csv"},"description":"OFR 2019-1128"},{"id":370251,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1128/coverthb.jpg"},{"id":370255,"rank":5,"type":{"id":28,"text":"Dataset"},"url":"https://pubs.usgs.gov/of/2019/1128/ofr20191128_depthtobedrock.csv","text":"Depth to Bedrock","size":"1 MB","linkFileType":{"id":7,"text":"csv"},"description":"OFR 2019-1128"},{"id":370256,"rank":6,"type":{"id":28,"text":"Dataset"},"url":"https://pubs.usgs.gov/of/2019/1128/ofr20191128_gravitydata.csv","text":"Gravity Data","size":"225 KB","linkFileType":{"id":7,"text":"csv"},"description":"OFR 2019-1128"},{"id":370257,"rank":7,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2019/1128/ofr20191128_metadata.xml","size":"22 KB xml","description":"OFR 2019-1128"},{"id":370258,"rank":8,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/of/2019/1128/ofr20191128_readmedata.rtf","size":"15 KB","linkFileType":{"id":2,"text":"txt"},"description":"OFR 2019-1128"}],"country":"United States","state":"California","otherGeospatial":"Edwards Air Force Base","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.10302734374999,\n              34.7506398050501\n            ],\n            [\n              -117.65258789062499,\n              34.7506398050501\n            ],\n            [\n              -117.65258789062499,\n              35.0254981588326\n            ],\n            [\n              -118.10302734374999,\n              35.0254981588326\n            ],\n            [\n              -118.10302734374999,\n              34.7506398050501\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://geomaps.wr.usgs.gov/gmeg/staff.htm\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://geomaps.wr.usgs.gov/gmeg/staff.htm\">Director</a>,<br><a href=\"https://geomaps.wr.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://geomaps.wr.usgs.gov/\">Geology, Minerals, Energy, &amp; Geophysics Science Center</a><br><a href=\"https://geomaps.wr.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://geomaps.wr.usgs.gov/\">Menlo Park, California</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov/\">U.S. Geological Survey</a><br>345 Middlefield Road<br>Menlo Park, CA 94025-3591</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Datasets</li><li>Gravity Field</li><li>Computation Method for Modeling the Thickness of the Basin-fill Deposits</li><li>Gravity Results</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2019-12-13","noUsgsAuthors":false,"publicationDate":"2019-12-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Langenheim, Victoria 0000-0003-2170-5213","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":221236,"corporation":false,"usgs":true,"family":"Langenheim","given":"Victoria","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":777446,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morita, Andrew 0000-0002-8120-996X","orcid":"https://orcid.org/0000-0002-8120-996X","contributorId":221237,"corporation":false,"usgs":true,"family":"Morita","given":"Andrew","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":777447,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Christensen, Allen H. 0000-0002-7061-5591 ahchrist@usgs.gov","orcid":"https://orcid.org/0000-0002-7061-5591","contributorId":1510,"corporation":false,"usgs":true,"family":"Christensen","given":"Allen","email":"ahchrist@usgs.gov","middleInitial":"H.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":777448,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cromwell, Geoffrey 0000-0001-8481-405X gcromwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8481-405X","contributorId":5920,"corporation":false,"usgs":true,"family":"Cromwell","given":"Geoffrey","email":"gcromwell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":777449,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ely, Christopher P. 0000-0001-5276-5046","orcid":"https://orcid.org/0000-0001-5276-5046","contributorId":219282,"corporation":false,"usgs":true,"family":"Ely","given":"Christopher P.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":777466,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70207291,"text":"70207291 - 2019 - Response of tidal marsh vegetation to pulsed increases in flooding and nitrogen","interactions":[],"lastModifiedDate":"2020-02-25T08:11:27","indexId":"70207291","displayToPublicDate":"2019-12-13T10:09:58","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3751,"text":"Wetlands Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Response of tidal marsh vegetation to pulsed increases in flooding and nitrogen","docAbstract":"<p><span>Worldwide, human activities have modified hydrology and nutrient loading regimes in coastal wetlands. Understanding the interplay between these drivers and subsequent response of wetland plant communities is essential to informing wetland management and restoration efforts. Recent restoration strategies in Louisiana proposes to use sediment diversions from the Mississippi River to build land in adjacent wetlands and reduce the rate of land to open water conversion. In conjunction with sediment delivery, diversions can increase nutrient loads and water levels in the receiving basins. We conducted a greenhouse mesocosm experiment in which we exposed three common tidal freshwater and brackish marsh plants (</span><i class=\"EmphasisTypeItalic \">Panicum hemitomon, Sagittaria lancifolia,</i><span>&nbsp;and&nbsp;</span><i class=\"EmphasisTypeItalic \">Spartina patens</i><span>) to two nitrate loading rates [high (35&nbsp;g&nbsp;N m</span><sup>2</sup><span>&nbsp;year</span><sup>−1</sup><span>) and low (0.25&nbsp;g&nbsp;N m</span><sup>2</sup><span>&nbsp;year</span><sup>−1</sup><span>)], and two flooding treatments (with and without diversion pulsing). Experimental units were set at two different elevations within the treatment tanks to simulate both a healthy and degraded marsh. Plant growth metrics and soil physicochemical properties were measured monthly. Final total biomass was determined at the study’s conclusion. Growth responses differed between species but were not significantly influenced by the treatments. Soil redox potential decreased significantly following the increase in flooding associated with the diversion pulse, but recovered to pre-diversion levels after a 3-month recovery period. Our study suggests short flooding pulses with a recovery period may be key for maintaining healthy marshes, however there remains a need for longer-term empirical studies to understand marsh response to pressures associated with river sediment diversions over time.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11273-019-09699-8","usgsCitation":"McCoy, M.M., Sloey, T.M., Howard, R.J., and Hester, M.W., 2019, Response of tidal marsh vegetation to pulsed increases in flooding and nitrogen: Wetlands Ecology and Management, v. 28, p. 119-135, https://doi.org/10.1007/s11273-019-09699-8.","productDescription":"17 p.","startPage":"119","endPage":"135","ipdsId":"IP-106945","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":370302,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Jean Lafitte 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M","contributorId":221252,"corporation":false,"usgs":false,"family":"McCoy","given":"Meagan","email":"","middleInitial":"M","affiliations":[{"id":40345,"text":"University of Louisana Lafayette","active":true,"usgs":false}],"preferred":false,"id":777556,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sloey, Taylor M","contributorId":149516,"corporation":false,"usgs":false,"family":"Sloey","given":"Taylor","email":"","middleInitial":"M","affiliations":[{"id":17763,"text":"University of Louisiana, Lafayette","active":true,"usgs":false}],"preferred":false,"id":777557,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Howard, Rebecca J. 0000-0001-7264-4364 howardr@usgs.gov","orcid":"https://orcid.org/0000-0001-7264-4364","contributorId":2429,"corporation":false,"usgs":true,"family":"Howard","given":"Rebecca","email":"howardr@usgs.gov","middleInitial":"J.","affiliations":[{"id":455,"text":"National Wetlands Research 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,{"id":70250490,"text":"70250490 - 2019 - Yukon-Kuskokwim Delta Berry Outlook: Final Report","interactions":[],"lastModifiedDate":"2023-12-13T12:49:20.331267","indexId":"70250490","displayToPublicDate":"2019-12-13T06:49:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Yukon-Kuskokwim Delta Berry Outlook: Final Report","docAbstract":"<p>No abstract available.&nbsp;</p>","language":"English","publisher":"U.S. Geological Survey","collaboration":"Western Alaska Landscape Conservation Cooperative","usgsCitation":"Herman-Mercer, N.M., and Loehman, R.A., 2019, Yukon-Kuskokwim Delta Berry Outlook: Final Report, v, 46 p.","productDescription":"v, 46 p.","ipdsId":"IP-098985","costCenters":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":423509,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":423504,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.sciencebase.gov/catalog/item/5ca655d1e4b0c3b0064c2703"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -167.41101641468245,\n              64.14447313670226\n            ],\n            [\n              -167.41101641468245,\n              59.43905568894709\n            ],\n            [\n              -157.8962443697305,\n              59.43905568894709\n            ],\n            [\n              -157.8962443697305,\n              64.14447313670226\n            ],\n            [\n              -167.41101641468245,\n              64.14447313670226\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Herman-Mercer, Nicole M. 0000-0001-5933-4978 nhmercer@usgs.gov","orcid":"https://orcid.org/0000-0001-5933-4978","contributorId":3927,"corporation":false,"usgs":true,"family":"Herman-Mercer","given":"Nicole","email":"nhmercer@usgs.gov","middleInitial":"M.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":890134,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loehman, Rachel A. 0000-0001-7680-1865 rloehman@usgs.gov","orcid":"https://orcid.org/0000-0001-7680-1865","contributorId":187605,"corporation":false,"usgs":true,"family":"Loehman","given":"Rachel","email":"rloehman@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":false,"id":890135,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70207510,"text":"70207510 - 2019 - Developing and optimizing shrub parameters representing sagebrush (Artemisia spp.) ecosystems in the Northern Great Basin using the Ecosystem Demography (EDv2.2) model","interactions":[],"lastModifiedDate":"2019-12-22T14:03:15","indexId":"70207510","displayToPublicDate":"2019-12-12T14:00:55","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1818,"text":"Geoscientific Model Development","active":true,"publicationSubtype":{"id":10}},"title":"Developing and optimizing shrub parameters representing sagebrush (Artemisia spp.) ecosystems in the Northern Great Basin using the Ecosystem Demography (EDv2.2) model","docAbstract":"Ecosystem dynamic models are useful for understanding ecosystem characteristics over time and space because of their efficiency over direct field measurements and applicability to broad spatial extents. Their application, however, is challenging due to internal model uncertainties and complexities arising from distinct qualities of the ecosystems being analyzed. The sagebrush-steppe in western North America, for example, has substantial spatial and temporal heterogeneity as well as variability due to anthropogenic disturbance, invasive species, climate change, and altered fire regimes, which collectively make modelling dynamic ecosystem processes difficult. Ecosystem Demography (EDv2.2) is a robust ecosystem dynamic model, initially developed for tropical forests, that simulates energy, water, and carbon fluxes at fine scales.  Although EDv2.2 has since been tested on different ecosystems via development of different Plant Function Types (PFT), it still lacks a shrub PFT. In this study, we developed and parameterized a shrub PFT representative of sagebrush (Artemisia spp.) ecosystems in order to initialize and test it within EDv2.2, and to promote future broad-scale analysis of restoration activities, climate change, and fire regimes in the sagebrush-steppe. Specifically, we parameterized the sagebrush PFT within EDv2.2 to estimate gross primary production (GPP), using data from two sagebrush study sites in the northern Great Basin. To accomplish this, we employed a three-tier approach: 1) To initially parameterize the sagebrush PFT, we fitted allometric relationships for sagebrush using field-collected data, information from existing sagebrush literature, and parameters from other land models. 2) To determine influential parameters in GPP prediction, we used a sensitivity analysis to identify the five most sensitive parameters. 3) To improve model performance and validate results, we optimized these five parameters using an exhaustive search method to estimate GPP, and compared results with observations from two Eddy Covariance (EC) sites in the study area. Our modeled results were encouraging, with reasonable fidelity to observed values, although some negative biases (i.e., seasonal underestimates of GPP) were apparent.","language":"English","publisher":"European Geosciences Union","doi":"10.5194/gmd-12-4585-2019","usgsCitation":"Pandit, K., Dasthi, H., Glenn, N., Flores, A., Maguire, K.C., Shinneman, D.J., Flerchinger, G., and Fellow, A., 2019, Developing and optimizing shrub parameters representing sagebrush (Artemisia spp.) ecosystems in the Northern Great Basin using the Ecosystem Demography (EDv2.2) model: Geoscientific Model Development, v. 12, p. 4585-4601, https://doi.org/10.5194/gmd-12-4585-2019.","productDescription":"17 p.","startPage":"4585","endPage":"4601","ipdsId":"IP-102648","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":458969,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/gmd-12-4585-2019","text":"Publisher Index Page"},{"id":370607,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Great Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.56347656249999,\n              42.032974332441405\n            ],\n            [\n              -118.16894531249999,\n              35.35321610123823\n            ],\n            [\n              -112.2802734375,\n              34.59704151614417\n            ],\n            [\n              -109.248046875,\n              38.37611542403604\n            ],\n            [\n              -110.0830078125,\n              43.13306116240612\n            ],\n            [\n    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University","active":true,"usgs":false}],"preferred":false,"id":778308,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dasthi, Hamid","contributorId":221465,"corporation":false,"usgs":false,"family":"Dasthi","given":"Hamid","email":"","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":778309,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Glenn, Nancy","contributorId":181558,"corporation":false,"usgs":false,"family":"Glenn","given":"Nancy","affiliations":[],"preferred":false,"id":778310,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flores, Alejandro","contributorId":221466,"corporation":false,"usgs":false,"family":"Flores","given":"Alejandro","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":778311,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Maguire, Kaitlin C. 0000-0001-8193-2384","orcid":"https://orcid.org/0000-0001-8193-2384","contributorId":203419,"corporation":false,"usgs":true,"family":"Maguire","given":"Kaitlin","email":"","middleInitial":"C.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":778312,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shinneman, Douglas J. 0000-0002-4909-5181 dshinneman@usgs.gov","orcid":"https://orcid.org/0000-0002-4909-5181","contributorId":147745,"corporation":false,"usgs":true,"family":"Shinneman","given":"Douglas","email":"dshinneman@usgs.gov","middleInitial":"J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":778307,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Flerchinger, Gerald","contributorId":221467,"corporation":false,"usgs":false,"family":"Flerchinger","given":"Gerald","affiliations":[{"id":37009,"text":"USDA Agricultural Research Service","active":true,"usgs":false}],"preferred":false,"id":778313,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fellow, Aaron","contributorId":221468,"corporation":false,"usgs":false,"family":"Fellow","given":"Aaron","email":"","affiliations":[{"id":37009,"text":"USDA Agricultural Research Service","active":true,"usgs":false}],"preferred":false,"id":778314,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70210612,"text":"70210612 - 2019 - Generation of lamprey monoclonal antibodies (Lampribodies) using the phage display system","interactions":[],"lastModifiedDate":"2020-06-12T17:22:56.373722","indexId":"70210612","displayToPublicDate":"2019-12-12T12:19:10","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5966,"text":"Biomolecules","active":true,"publicationSubtype":{"id":10}},"title":"Generation of lamprey monoclonal antibodies (Lampribodies) using the phage display system","docAbstract":"<p><span>The variable lymphocyte receptors (VLRs) consist of leucine rich repeats (LRRs) and comprise the humoral antibodies produced by lampreys and hagfishes. The diversity of the molecules is generated by stepwise genomic rearrangements of LRR cassettes dispersed throughout the VLRB locus. Previously, target-specific monovalent VLRB antibodies were isolated from sea lamprey larvae after immunization with model antigens. Further, the cloned VLR cDNAs from activated lamprey leukocytes were transfected into human cell lines or yeast to select best binders. Here, we expand on the overall utility of the VLRB technology by introducing it into a filamentous phage display system. We first tested the efficacy of isolating phage into which known VLRB molecules were cloned after a series of dilutions. These experiments showed that targeted VLRB clones could easily be recovered even after extensive dilutions (1 to 10</span><sup>9</sup><span>). We further utilized the system to isolate target-specific “lampribodies” from phage display libraries from immunized animals and observed an amplification of binders with relative high affinities by competitive binding. The lampribodies can be individually purified and ostensibly utilized for applications for which conventional monoclonal antibodies are employed.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/biom9120868","usgsCitation":"Hassan, K.M., Hansen, J.D., Herrin, B.R., and Amemiya, C.T., 2019, Generation of lamprey monoclonal antibodies (Lampribodies) using the phage display system: Biomolecules, v. 9, no. 12, 868, 18 p., https://doi.org/10.3390/biom9120868.","productDescription":"868, 18 p.","ipdsId":"IP-107248","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":458972,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/biom9120868","text":"Publisher Index Page"},{"id":375562,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"12","noUsgsAuthors":false,"publicationDate":"2019-12-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Hassan, Khan M A","contributorId":225255,"corporation":false,"usgs":false,"family":"Hassan","given":"Khan","email":"","middleInitial":"M A","affiliations":[{"id":41083,"text":"University of California-Merced, Molecular Cell Biology, Merced CA 95343","active":true,"usgs":false}],"preferred":false,"id":790844,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hansen, John D. 0000-0002-3006-2734","orcid":"https://orcid.org/0000-0002-3006-2734","contributorId":220725,"corporation":false,"usgs":true,"family":"Hansen","given":"John","middleInitial":"D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":790845,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Herrin, Brantley R","contributorId":225256,"corporation":false,"usgs":false,"family":"Herrin","given":"Brantley","email":"","middleInitial":"R","affiliations":[{"id":41084,"text":"Emory University, Department of Pathology and Laboratory Medicine, Atlanta GA 30322 USA","active":true,"usgs":false}],"preferred":false,"id":790846,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Amemiya, Chris T","contributorId":225257,"corporation":false,"usgs":false,"family":"Amemiya","given":"Chris","email":"","middleInitial":"T","affiliations":[{"id":41083,"text":"University of California-Merced, Molecular Cell Biology, Merced CA 95343","active":true,"usgs":false}],"preferred":false,"id":790847,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70211501,"text":"70211501 - 2019 - Improved genetic identification of acipenseriform embryos with application to the endangered pallid sturgeon Scaphirhynchus albus","interactions":[],"lastModifiedDate":"2020-07-29T14:47:44.047032","indexId":"70211501","displayToPublicDate":"2019-12-12T09:46:04","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2285,"text":"Journal of Fish Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Improved genetic identification of acipenseriform embryos with application to the endangered pallid sturgeon <i>Scaphirhynchus albus</i>","title":"Improved genetic identification of acipenseriform embryos with application to the endangered pallid sturgeon Scaphirhynchus albus","docAbstract":"We produced pallid sturgeon Scaphirhynchus albus embryos at five pre‐hatch developmental stages and isolated and quantified genomic DNA from four of the stages using four commercial DNA isolation kits. Genomic DNA prepared using the kit that produced the largest yields and concentrations were used for microsatellite DNA analyses of 10–20 embryos at each of the five developmental stages. We attempted to genotype the hatchery‐produced embryos at 19 microsatellite loci and confirmed reliable genotyping by comparing the microsatellite genotypes to those of known parents. Embryos at stages 5 and 8 did not produce reliable genotyping while those at stages 14, 24 and 33 did. We used the same DNA isolation method on 262 wild‐caught acipenseriform embryos collected from the lower Yellowstone River. A total of 200 of the wild embryos were successfully identified to stages 8 to 34 and the rest could not be staged. Using a combination of single nucleotide polymorphism and microsatellite markers, 249 of the wild‐caught embryos were genetically identified as paddlefish Polyodon spathula , five were identified as shovelnose sturgeon Scaphirhynchus platorynchus and eight failed to amplify. None were identified as pallid sturgeon. This study demonstrates that early‐stage wild‐spawned acipenseriform embryos can be genetically identified less than 24 h post‐spawn. This methodology will be useful for recovery efforts for endangered pallid sturgeon and can be applied to other acipenseriform species.","language":"English","publisher":"Wiley","doi":"10.1111/jfb.14230","usgsCitation":"Kashiwagi, T., Delonay, A.J., Braaten, P., Chojnacki, K., Gocker, R.M., and Heist, E.J., 2019, Improved genetic identification of acipenseriform embryos with application to the endangered pallid sturgeon Scaphirhynchus albus: Journal of Fish Biology, v. 96, no. 2, p. 486-495, https://doi.org/10.1111/jfb.14230.","productDescription":"10 p.","startPage":"486","endPage":"495","ipdsId":"IP-111396","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":376841,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"96","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-01-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Kashiwagi, Tom","contributorId":236836,"corporation":false,"usgs":false,"family":"Kashiwagi","given":"Tom","email":"","affiliations":[{"id":47549,"text":"Center for Fisheries Aquaculture and Aquatic Sciences, Southern Illinois University Carbondale, Carbondale, IL","active":true,"usgs":false}],"preferred":false,"id":794373,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeLonay, Aaron J. 0000-0002-3752-2799 adelonay@usgs.gov","orcid":"https://orcid.org/0000-0002-3752-2799","contributorId":2725,"corporation":false,"usgs":true,"family":"DeLonay","given":"Aaron","email":"adelonay@usgs.gov","middleInitial":"J.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":794374,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Braaten, Patrick 0000-0003-3362-420X pbraaten@usgs.gov","orcid":"https://orcid.org/0000-0003-3362-420X","contributorId":152682,"corporation":false,"usgs":true,"family":"Braaten","given":"Patrick","email":"pbraaten@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":794375,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chojnacki, Kimberly 0000-0001-6091-3977 kchojnacki@usgs.gov","orcid":"https://orcid.org/0000-0001-6091-3977","contributorId":221080,"corporation":false,"usgs":true,"family":"Chojnacki","given":"Kimberly","email":"kchojnacki@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":794376,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gocker, Rachel M.","contributorId":236837,"corporation":false,"usgs":false,"family":"Gocker","given":"Rachel","email":"","middleInitial":"M.","affiliations":[{"id":47549,"text":"Center for Fisheries Aquaculture and Aquatic Sciences, Southern Illinois University Carbondale, Carbondale, IL","active":true,"usgs":false}],"preferred":false,"id":794377,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Heist, Edward J.","contributorId":221082,"corporation":false,"usgs":false,"family":"Heist","given":"Edward","email":"","middleInitial":"J.","affiliations":[{"id":40317,"text":"Southern Illinois University, Fisheries and Illinois Aquaculture Center","active":true,"usgs":false}],"preferred":false,"id":794378,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70208062,"text":"70208062 - 2019 - High-resolution and accurate topography reconstruction of Mount Etna from Pleiades satellite data","interactions":[],"lastModifiedDate":"2020-01-29T16:34:42","indexId":"70208062","displayToPublicDate":"2019-12-12T07:32:03","publicationYear":"2019","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":"High-resolution and accurate topography reconstruction of Mount Etna from Pleiades satellite data","docAbstract":"<p><span>The areas characterized by dynamic and rapid morphological changes need accurate topography information with frequent updates, especially if these are populated and involve infrastructures. This is particularly true in active volcanic areas such as Mount (Mt.) Etna, located in the northeastern portion of Sicily, Italy. The Mt. Etna volcano is periodically characterized by explosive and effusive eruptions and represents a potential hazard for several thousands of local people and hundreds of tourists present on the volcano itself. In this work, a high-resolution, high vertical accuracy digital surface model (DSM) of Mt. Etna was derived from Pleiades satellite data using the National Aeronautics and Space Administration (NASA) Ames Stereo Pipeline (ASP) tool set. We believe that this is the first time that the ASP using Pleiades imagery has been applied to Mt. Etna with sub-meter vertical root mean square error (RMSE) results. The model covers an area of about 400 km</span><sup>2</sup><span>&nbsp;with a spatial resolution of 2 m and centers on the summit portion of the volcano. The model was validated by using a set of reference ground control points (GCP) obtaining a vertical RMSE of 0.78 m. The described procedure provides an avenue to obtain DSMs at high spatial resolution and elevation accuracy in a relatively short amount of processing time, making the procedure itself suitable to reproduce topographies often indispensable during the emergency management case of volcanic eruptions.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/rs11242983","usgsCitation":"Palaseanu-Lovejoy, M., Bisson, M., Spinetti, C., Buongiorno, M.F., Alexandrov, O., and Cecere, T., 2019, High-resolution and accurate topography reconstruction of Mount Etna from Pleiades satellite data: Remote Sensing, v. 11, no. 24, 2983, 17 p., https://doi.org/10.3390/rs11242983.","productDescription":"2983, 17 p.","ipdsId":"IP-112349","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":458977,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs11242983","text":"Publisher Index Page"},{"id":437261,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9IGLDYE","text":"USGS data release","linkHelpText":"Digital Surface Model of Mt. Etna, Italy, derived from  2015 Pleiades Satellite Imagery"},{"id":371637,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","otherGeospatial":"Mount Etna","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              14.84733581542969,\n              37.62238973852369\n            ],\n            [\n              15.128173828125,\n              37.62238973852369\n            ],\n            [\n              15.128173828125,\n              37.84015683604136\n            ],\n            [\n              14.84733581542969,\n              37.84015683604136\n            ],\n            [\n              14.84733581542969,\n              37.62238973852369\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"11","issue":"24","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-12-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Palaseanu-Lovejoy, Monica 0000-0002-3786-5118 mpal@usgs.gov","orcid":"https://orcid.org/0000-0002-3786-5118","contributorId":3639,"corporation":false,"usgs":true,"family":"Palaseanu-Lovejoy","given":"Monica","email":"mpal@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":780322,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bisson, Marina 0000-0002-7104-9210","orcid":"https://orcid.org/0000-0002-7104-9210","contributorId":221724,"corporation":false,"usgs":false,"family":"Bisson","given":"Marina","email":"","affiliations":[{"id":40408,"text":"Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Pisa, via Della Faggiola, Pisa, 56126, Italy","active":true,"usgs":false}],"preferred":false,"id":780323,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spinetti, Claudia 0000-0002-1861-5666","orcid":"https://orcid.org/0000-0002-1861-5666","contributorId":221725,"corporation":false,"usgs":false,"family":"Spinetti","given":"Claudia","email":"","affiliations":[{"id":40409,"text":"Istituto Nazionale di Geofisica e Vulcanologia, Sezione ONT, via di Vigna Murata, Roma, 00143, Italy","active":true,"usgs":false}],"preferred":false,"id":780324,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buongiorno, Maria Fabrizia 0000-0002-6095-6974","orcid":"https://orcid.org/0000-0002-6095-6974","contributorId":221726,"corporation":false,"usgs":false,"family":"Buongiorno","given":"Maria","email":"","middleInitial":"Fabrizia","affiliations":[{"id":40409,"text":"Istituto Nazionale di Geofisica e Vulcanologia, Sezione ONT, via di Vigna Murata, Roma, 00143, Italy","active":true,"usgs":false}],"preferred":false,"id":780325,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Alexandrov, Oleg","contributorId":167662,"corporation":false,"usgs":false,"family":"Alexandrov","given":"Oleg","email":"","affiliations":[{"id":24796,"text":"NASA Ames Research Center","active":true,"usgs":false}],"preferred":false,"id":780326,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cecere, Thomas 0000-0001-5254-8404 tcecere@usgs.gov","orcid":"https://orcid.org/0000-0001-5254-8404","contributorId":221727,"corporation":false,"usgs":true,"family":"Cecere","given":"Thomas","email":"tcecere@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":780327,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70208616,"text":"70208616 - 2019 - Earthquakes, ShakeMap","interactions":[],"lastModifiedDate":"2020-02-21T06:58:05","indexId":"70208616","displayToPublicDate":"2019-12-12T06:57:38","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Earthquakes, ShakeMap","docAbstract":"<div id=\"body\"><div class=\"content\"><p id=\"Par1\" class=\"Para\">ShakeMap® is an open-source software program employed to automatically produce a suite of maps and products that portray the geographical extent and severity of potentially damaging shaking following an earthquake. ShakeMap’s primary purpose is to provide post-earthquake situational awareness for emergency management and response as well as damage and loss estimation. The availability of ShakeMaps immediately after a significant earthquake is critical for the identification of areas likely to be most damaged. Principal users include first responders, utility companies, response and aid agencies, scientists and engineers, and the media. Maps are made publicly available via the Internet within several minutes of an earthquake’s occurrence. ShakeMap is widely deployed in seismically active, well-instrumented portions of the USA and internationally in numerous countries including Italy, Iceland, Greece, Costa Rica, and Switzerland, among others, and the US...</p></div></div>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Encyclopedia of Solid Earth Geophysics","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-030-10475-7_182-1","usgsCitation":"Wald, D.J., Worden, C., Thompson, E.M., and Hearne, M., 2019, Earthquakes, ShakeMap, chap. <i>of</i> Encyclopedia of Solid Earth Geophysics, https://doi.org/10.1007/978-3-030-10475-7_182-1.","ipdsId":"IP-109507","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":372487,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-12-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":782741,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Worden, Charles 0000-0003-1181-685X cbworden@usgs.gov","orcid":"https://orcid.org/0000-0003-1181-685X","contributorId":152042,"corporation":false,"usgs":true,"family":"Worden","given":"Charles","email":"cbworden@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":782738,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Eric M. 0000-0002-6943-4806 emthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-6943-4806","contributorId":146592,"corporation":false,"usgs":true,"family":"Thompson","given":"Eric","email":"emthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":782739,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hearne, Mike 0000-0002-8225-2396 mhearne@usgs.gov","orcid":"https://orcid.org/0000-0002-8225-2396","contributorId":4659,"corporation":false,"usgs":true,"family":"Hearne","given":"Mike","email":"mhearne@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":782740,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
]}