{"pageNumber":"141","pageRowStart":"3500","pageSize":"25","recordCount":185169,"records":[{"id":70260228,"text":"sir20245088 - 2024 - Inset groundwater-flow models for the Cache and Grand Prairie Critical Groundwater Areas, northeastern Arkansas","interactions":[],"lastModifiedDate":"2025-12-22T21:29:22.991335","indexId":"sir20245088","displayToPublicDate":"2024-11-08T12:11:54","publicationYear":"2024","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":"2024-5088","displayTitle":"Inset Groundwater-Flow Models for the Cache and Grand Prairie Critical Groundwater Areas, Northeastern Arkansas","title":"Inset groundwater-flow models for the Cache and Grand Prairie Critical Groundwater Areas, northeastern Arkansas","docAbstract":"The water resources in the Mississippi alluvial plain, located in parts of Missouri, Kentucky, Tennessee, Mississippi, Louisiana, and Arkansas, supports a multibillion-dollar agricultural industry that relies heavily on pumping of groundwater for irrigation of crops and aquaculture. The primary source of groundwater for agricultural-related pumping is the Mississippi River Valley alluvial aquifer, which has declined in storage for decades; secondary groundwater sources include the middle Claiborne aquifer and Wilcox aquifer system. Two areas in northeastern Arkansas that lie within the Mississippi alluvial plain, part of the Cache and Grand Prairie regions, have been designated as Critical Groundwater Areas owing to decades of groundwater declines that resulted from past and current water use. The multidisciplinary Mississippi Alluvial Plain project, led by the U.S. Geological Survey, and funded by their Water Availability and Use Science Program, included objectives to develop numerical groundwater models in focus regions, including the part of the Cache and Grand Prairie regions of northeastern Arkansas. Two inset models were developed using the child model capabilities of MODFLOW 6, the U.S. Geological Survey’s Modular Hydrologic Model simulation software. Both models, called the Cache model and Grand Prairie model, simulated the groundwater system and surface-water/groundwater interactions for the Mississippi River Valley alluvial aquifer and underlying Tertiary-age aquifers and confining units to the Midway confining unit. Each model was spatially discretized into 500-meter x 500-meter orthogonal cells on a grid with 5-meter constant-thickness vertical layers that represented the Mississippi River Valley alluvial aquifer and increasing thickness layers for the aquifers and confining units below the alluvial aquifer. The Cache and Grand Prairie models were calibrated with the PEST++ iterative ensemble smoother Version 5 and employed high dimensional parameterization schemes of 13,740 and 30,436 parameters, respectively. The Cache mean absolute residual for groundwater-level observations within each model domain for the priority well was 1.58 meters. Grand Prairie mean absolute residuals for the alluvial aquifer and middle Claiborne aquifer groundwater-level observations were 2.71 and 10.78 meters, respectively. The groundwater budgets for the Cache and Grand Prairie models were characterized by substantial outflows to irrigation wells, which constituted about 52 and 54 percent of all outflows, with the primary source of water to those wells being releases from unconfined aquifer storage.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245088","programNote":"Water Availability and Use Science Program","usgsCitation":"Traylor, J.P., Duncan, L.L., Leaf, A.T., Weisser, A.R., Dietsch, B.J., and Guira, M., 2024, Inset groundwater-flow models for the Cache and Grand Prairie Critical Groundwater Areas, northeastern Arkansas: U.S. Geological Survey Scientific Investigations Report 2024–5088, 152 p., https://doi.org/10.3133/sir20245088.","productDescription":"Report: xi, 152 p.; 13 Figures: 8.50 x 11.00 inches; Data Release; Dataset","numberOfPages":"168","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-155030","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":497914,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117774.htm","linkFileType":{"id":5,"text":"html"}},{"id":463425,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HZWI8S","text":"USGS data release","linkHelpText":"Simulations of the groundwater-flow system in the Cache and Grand Prairie Critical Groundwater Areas, northeastern Arkansas"},{"id":463426,"rank":8,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245088/full"},{"id":463424,"rank":6,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"- USGS water data for the Nation"},{"id":463419,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5088/coverthb.jpg"},{"id":463422,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5088/images/"},{"id":463420,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5088/sir20245088.pdf","text":"Report","size":"22 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024–5088"},{"id":463421,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5088/sir20245088.XML"},{"id":463423,"rank":5,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sir/2024/5088/downloads/","text":"Layered figures","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Arkansas","otherGeospatial":"Cache and Grand Prairie Critical Groundwater Areas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -90.4216070279204,\n              35.763468234275166\n            ],\n            [\n              -92.62077527136867,\n              35.763468234275166\n            ],\n            [\n              -92.62077527136867,\n              33.579387250010626\n            ],\n            [\n              -90.4216070279204,\n              33.579387250010626\n            ],\n            [\n              -90.4216070279204,\n              35.763468234275166\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/ne-water\" data-mce-href=\"https://www.usgs.gov/centers/ne-water\">Nebraska Water Science Center</a><br>U.S. Geological Survey<br>5231 South 19th Street<br>Lincoln, NE 68512</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Groundwater-Flow Models</li><li>Assumptions and Limitations</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Geologic and Hydrostratigraphic Units for Northeastern Arkansas</li><li>Appendix 2. Temporal Discretization for the Cache Model and Grand Prairie Model</li><li>Appendix 3. Measured Versus Simulated One to One Plots By Observation Group and Histograms of Residuals for the Cache Model</li><li>Appendix 4. Measured Versus Simulated Plots of Water Levels at Select Observation Wells for the Calibrated Cache Model</li><li>Appendix 5. Measured Versus Simulated One to One Plots by Observation Group and Histograms of Residuals for the Grand Prairie Model</li><li>Appendix 6. Measured Versus Simulated Plots at Select Observation Wells for the Calibrated Grand Prairie Model</li><li>Appendix 7. Summary of Calibrated Aquifer Property Pilot Point Values for the Cache Model and Grand Prairie Model</li><li>Appendix 8. Calibrated Well Pumping Multiplier Parameters for Each Crop Type or Data Source by Stress Period for the Cache Model and Grand Prairie Model</li><li>Appendix 9. Prior and Posterior Ensemble Parameter Distributions for the Cache Model and Grand Prairie Model for Select Parameter Groups</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2024-11-08","noUsgsAuthors":false,"publicationDate":"2024-11-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Traylor, Jonathan P. 0000-0002-2008-1923 jtraylor@usgs.gov","orcid":"https://orcid.org/0000-0002-2008-1923","contributorId":5322,"corporation":false,"usgs":true,"family":"Traylor","given":"Jonathan","email":"jtraylor@usgs.gov","middleInitial":"P.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":917455,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duncan, Leslie L. 0000-0002-5938-5721","orcid":"https://orcid.org/0000-0002-5938-5721","contributorId":204004,"corporation":false,"usgs":true,"family":"Duncan","given":"Leslie","email":"","middleInitial":"L.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":917456,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leaf, Andrew T. 0000-0001-8784-4924 aleaf@usgs.gov","orcid":"https://orcid.org/0000-0001-8784-4924","contributorId":5156,"corporation":false,"usgs":true,"family":"Leaf","given":"Andrew","email":"aleaf@usgs.gov","middleInitial":"T.","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":917457,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weisser, Alec R. 0000-0002-1550-2922","orcid":"https://orcid.org/0000-0002-1550-2922","contributorId":345765,"corporation":false,"usgs":true,"family":"Weisser","given":"Alec","middleInitial":"R.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":917458,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dietsch, Benjamin J. 0000-0003-1090-409X bdietsch@usgs.gov","orcid":"https://orcid.org/0000-0003-1090-409X","contributorId":1346,"corporation":false,"usgs":true,"family":"Dietsch","given":"Benjamin","email":"bdietsch@usgs.gov","middleInitial":"J.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true},{"id":84311,"text":"Central Plains Water Science Center","active":true,"usgs":true}],"preferred":true,"id":917459,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Guira, Moussa 0000-0001-6020-533X","orcid":"https://orcid.org/0000-0001-6020-533X","contributorId":208456,"corporation":false,"usgs":true,"family":"Guira","given":"Moussa","email":"","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":917460,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70267765,"text":"70267765 - 2024 - Connectivity patterns between floodplain lakes and neighboring streams in the historical floodplain of the Lower Mississippi River","interactions":[],"lastModifiedDate":"2025-05-30T16:19:47.701287","indexId":"70267765","displayToPublicDate":"2024-11-08T11:14:44","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Connectivity patterns between floodplain lakes and neighboring streams in the historical floodplain of the Lower Mississippi River","docAbstract":"<p><span>Hydrologic connectivity, the network of water pathways linking aquatic habitats, is vital for the exchange of organisms and abiotic materials between rivers and adjacent waterbodies. This study quantified hydrologic connectivity for 1,283 lakes in the Lower Mississippi River floodplain using satellite imagery, streamgauge data, and geospatial information. We aimed to assess connection frequency patterns between lakes and streams. Eight metrics describing temporal aspects of hydrologic connectivity were estimated, identifying trends by lake features and by stream size. Each lake exhibited a distinct pattern of connection, with specific months of connectivity followed by disconnection, likely influenced by lake characteristics and seasonal precipitation. Larger lakes showed increased connectivity, likely due to their surface area and volume, while smaller lakes were more prone to isolation, especially during dry periods. Lakes connected to large streams exhibited more prolonged and recurring connections, with less seasonal variation. In contrast, lakes near agricultural areas experienced reduced connectivity. However, local factors such as levees and artificial channels often disrupted these general trends. This hydrologic connectivity analysis can provide insight to support floodplain management, facilitate development of frameworks that restore connectivity, promote preservation of ecological integrity, and support management of invasive species spread in agricultural floodplains.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2024.112808","usgsCitation":"Ahmad, H., Miranda, L.E., Dunn, C.G., Boudreau, M., and Colvin, M.E., 2024, Connectivity patterns between floodplain lakes and neighboring streams in the historical floodplain of the Lower Mississippi River: Ecological Indicators, v. 169, 112808, 12 p., https://doi.org/10.1016/j.ecolind.2024.112808.","productDescription":"112808, 12 p.","ipdsId":"IP-168197","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":490657,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2024.112808","text":"Publisher Index Page"},{"id":490406,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1QIH9NJ","text":"USGS data release","linkHelpText":"Code for Connectivity patterns between floodplain lakes and neighboring streams in the historical floodplain of the Lower Mississippi River"},{"id":489294,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lower Mississippi River floodplain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88.30878420635052,\n              38.86158462464857\n            ],\n            [\n              -92.32018351048195,\n              38.86158462464857\n            ],\n            [\n              -92.32018351048195,\n              28.20085112656909\n            ],\n            [\n              -88.30878420635052,\n              28.20085112656909\n            ],\n            [\n              -88.30878420635052,\n              38.86158462464857\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"169","noUsgsAuthors":false,"publicationDate":"2024-11-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Ahmad, Hafez","contributorId":353774,"corporation":false,"usgs":false,"family":"Ahmad","given":"Hafez","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":938775,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":938776,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dunn, Corey Garland 0000-0002-7102-2165","orcid":"https://orcid.org/0000-0002-7102-2165","contributorId":288691,"corporation":false,"usgs":true,"family":"Dunn","given":"Corey","email":"","middleInitial":"Garland","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":938777,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boudreau, Melanie R.","contributorId":353778,"corporation":false,"usgs":false,"family":"Boudreau","given":"Melanie R.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":938778,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Colvin, Michael E. 0000-0002-6581-4764","orcid":"https://orcid.org/0000-0002-6581-4764","contributorId":331490,"corporation":false,"usgs":true,"family":"Colvin","given":"Michael","email":"","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":938779,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70260707,"text":"sir20235064I - 2024 - Peak streamflow trends in South Dakota and their relation to changes in climate, water years 1921–2020","interactions":[{"subject":{"id":70260707,"text":"sir20235064I - 2024 - Peak streamflow trends in South Dakota and their relation to changes in climate, water years 1921–2020","indexId":"sir20235064I","publicationYear":"2024","noYear":false,"chapter":"I","displayTitle":"Peak Streamflow Trends in South Dakota and Their Relation to Changes in Climate, Water Years 1921–2020","title":"Peak streamflow trends in South Dakota and their relation to changes in climate, water years 1921–2020"},"predicate":"IS_PART_OF","object":{"id":70251152,"text":"sir20235064 - 2024 - Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin","indexId":"sir20235064","publicationYear":"2024","noYear":false,"title":"Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin"},"id":1}],"isPartOf":{"id":70251152,"text":"sir20235064 - 2024 - Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin","indexId":"sir20235064","publicationYear":"2024","noYear":false,"title":"Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin"},"lastModifiedDate":"2025-12-22T21:31:08.991933","indexId":"sir20235064I","displayToPublicDate":"2024-11-08T10:53:13","publicationYear":"2024","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":"2023-5064","chapter":"I","displayTitle":"Peak Streamflow Trends in South Dakota and Their Relation to Changes in Climate, Water Years 1921–2020","title":"Peak streamflow trends in South Dakota and their relation to changes in climate, water years 1921–2020","docAbstract":"<p>Peak-flow (flood) frequency analysis is essential to water-resources management applications, including the design of critical infrastructure such as bridges and culverts, and floodplain mapping. Federal guidelines for performing peak-flow flood frequency analyses are presented in a U.S. Geological Survey Techniques and Methods Report known as Bulletin 17C. A basic assumption within Bulletin 17C, which documents the guidelines for determining annual peak streamflow frequency, is that, for basins without major hydrologic alterations (for example, regulation, diversion, and urbanization), statistical properties of the distribution of annual peak streamflows are stationary; that is, the mean, variance, and skew are constant through time. Nonstationarity is a statistical property of a peak-flow series such that the long-term (on the order of decades) distributional properties change one or more times either gradually or abruptly through time. Individual nonstationarities may be attributed to one source such as flow regulation, land-use change, or climate but are often the result of a combination of sources, making detection and attribution of nonstationarities challenging.</p><p>In response to a growing concern regarding nonstationarity in peak streamflows in the region, the U.S. Geological Survey, in cooperation with the Departments of Transportation of Illinois, Iowa, Michigan, Minnesota, Missouri, South Dakota, and Wisconsin; the Montana Department of Natural Resources and Conservation; and the North Dakota Department of Water Resources, assessed the potential nonstationarity in peak streamflows in the north-central United States. This chapter characterizes the effects of natural hydroclimatic shifts and potential climate change on annual peak streamflows in the State of South Dakota. Annual peak and daily streamflow as well as model-simulated gridded climatic data were examined for temporal monotonic trends, change points, and other statistical properties indicative of changing climatic and environmental conditions.</p><p>Changes in annual peak and daily flows were evaluated among 13, 35, and 81 qualifying U.S. Geological Survey streamgages for the 75-, 50-, and 30-year trend periods through water year 2020 (the period from October 1, 2019, to September 30, 2020) in South Dakota, respectively. No qualifying streamgages were in the 100-year trend period in the State. Statistical tests for autocorrelation (independent and identically distributed assumption), monotonic trends, and change points in the median and scale are analyzed to evaluate potential stationarity violations (nonstationarity) for performing at-site peak-flow flood-frequency analysis. The trends are reported using a likelihood approach as an alternative to simply reporting significant trends with an arbitrary <i>p</i>-value cutoff point.</p><p>A distinct east-west spatial pattern of likely upward and downward monotonic trends and change points, respectively, was detected in 75- and 50-year trend periods, but an inconsistent spatial pattern was detected in the 30-year trend period. Additionally, change points in the median annual peak streamflows were detected in the late 1970s and early 1980s in the western part of the State, but in the east, the change point was more commonly detected in 1992–93. A similar east-west spatial pattern of likely upward and downward trends was detected in the annual peak-flow timing, the day of the year of the annal peak streamflow. In the western part of the State, the annual peak streamflows are arriving earlier, but in the east, the annual peak streamflows are arriving later. A peaks-over-threshold (POT) analysis where, on average, there are two events per year (POT2) and four events per year (POT4) was also used to evaluate changes in the frequency (count) of daily streamflows exceeding the threshold. Similar to detected changes in the annual peak streamflow, an east-west likely upward or downward change corresponding to an increase or decrease, respectively, in the frequency of daily streamflow greater than a POT2 and POT4 threshold was detected.</p><p>A monthly water-balance model was used to evaluate hydroclimatic variation in annual and seasonal precipitation, snowfall, potential evapotranspiration, and soil moisture storage for all qualifying streamgages in the 75-, 50-, and 30-year trend periods. Detected trends in the annual hydroclimatic metrics for the 75- and 50-year trend periods indicate a spatially consistent statewide increase in precipitation, decrease in snowfall, increase in potential evapotranspiration, and increase in soil moisture storage. Furthermore, detected trends in seasonal precipitation in the 75- and 50-year trend periods highlight a pronounced change in precipitation in winter and later into the summer season, especially in the 50-year trend period in the eastern part of the State. Statewide increases in seasonal soil moisture storage were also detected, highlighting year-round increasing flood magnitudes, particularly in the eastern part of the State.</p><p>Based on the results of these stationarity tests for the qualifying streamgages in South Dakota among the 75-, 50-, and 30-year trend periods, consistent temporal and spatial patterns of nonstationarity were detected among the 75- and 50-year trend periods. Furthermore, when nonstationarity is detected in daily streamflow, increased streamflow and volume (increasing frequency in POT), as well as potentially bridge scour, may have implications on culvert and highway design in the eastern part of South Dakota. Thus, when performing at-site peak-flow flood-frequency analyses in South Dakota, potential nonstationarities and alternative approaches are important considerations.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235064I","collaboration":"Prepared in cooperation with the South Dakota Department of Transportation","usgsCitation":"Barth, N.A., and Sando, S.K., 2024, Peak streamflow trends in South Dakota and their relation to changes in climate, water years 1921–2020, chap. 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Dakota\",\"nation\":\"USA  \"}}]}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/wy-mt-water/\" data-mce-href=\"https://www.usgs.gov/centers/wy-mt-water/\">Wyoming-Montana Water Science Center</a><br>U.S. Geological Survey<br>3162 Bozeman Avenue<br>Helena, MT 59601</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Brief History of U.S. Geological Survey Peak-Flow Data Collection in South Dakota</li><li>Brief History of Statistical Analysis of Peak Streamflow and Nonstationarity in South Dakota</li><li>Review of Research Relating to Climatic Variability and Change in South Dakota</li><li>Data</li><li>Methods</li><li>Results of Streamflow and Climate Analyses</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2024-11-08","noUsgsAuthors":false,"publicationDate":"2024-11-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Barth, Nancy A. 0000-0002-7060-8244 nabarth@usgs.gov","orcid":"https://orcid.org/0000-0002-7060-8244","contributorId":298020,"corporation":false,"usgs":true,"family":"Barth","given":"Nancy","email":"nabarth@usgs.gov","middleInitial":"A.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":918156,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sando, Steven K. 0000-0003-1206-1030","orcid":"https://orcid.org/0000-0003-1206-1030","contributorId":203451,"corporation":false,"usgs":true,"family":"Sando","given":"Steven","email":"","middleInitial":"K.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":918157,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70260874,"text":"70260874 - 2024 - Deep syntectonic burial of the Anthracite belt, Eastern Pennsylvania","interactions":[],"lastModifiedDate":"2024-11-27T16:06:35.633822","indexId":"70260874","displayToPublicDate":"2024-11-08T10:21:49","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Deep syntectonic burial of the Anthracite belt, Eastern Pennsylvania","docAbstract":"<p><span>Fluid inclusion microthermometry and Raman spectroscopy of fluid inclusions in quartz veins from the Pennsylvanian rocks of the Anthracite belt, eastern Pennsylvania support a deep burial model of coalification in favor of focused orogenic hot fluid flow. High-temperature (250 to 255 °C) trapping of CH</span><sub>4</sub><span> ± CO</span><sub>2</sub><span>&nbsp;saturated aqueous fluids and CH</span><sub>4</sub><span> ± CO</span><sub>2</sub><span>&nbsp;inclusions indicate fluid trapping at depths of 11.5 to 13.4 km under a cover of Pennsylvanian to Permian(?) syntectonic load. In the folded rocks to the south of the Anthracite belt, CH</span><sub>4</sub><span> ± CO</span><sub>2</sub><span>&nbsp;fluid inclusions indicate a sediment load that was up to 16.3 km thick.&nbsp;</span><i>Re</i><span>-equilibrated aqueous fluid inclusions from veins in Silurian through Devonian rocks give the same range of trapping conditions but a wide range of fluid salinities suggesting that folding, fracturing, and meteoric recharge resulted in the intermixing of fluids from throughout the stratigraphic succession.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2024.104646","usgsCitation":"Evans, M.A., and Jubb, A., 2024, Deep syntectonic burial of the Anthracite belt, Eastern Pennsylvania: International Journal of Coal Geology, v. 295, 104646, 27 p., https://doi.org/10.1016/j.coal.2024.104646.","productDescription":"104646, 27 p.","ipdsId":"IP-164265","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":463907,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -75,\n              41.75\n            ],\n            [\n              -80,\n              41.75\n            ],\n            [\n              -80,\n              39.5\n            ],\n            [\n              -75,\n              39.5\n            ],\n            [\n              -75,\n              41.75\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"295","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Evans, Mark A.","contributorId":197411,"corporation":false,"usgs":false,"family":"Evans","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":918370,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jubb, Aaron M. 0000-0001-6875-1079","orcid":"https://orcid.org/0000-0001-6875-1079","contributorId":201978,"corporation":false,"usgs":true,"family":"Jubb","given":"Aaron M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":918369,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70270845,"text":"70270845 - 2024 - Biological feasibility of introducing bighorn sheep to the Jicarilla Apache Nation","interactions":[],"lastModifiedDate":"2025-08-28T15:11:50.278531","indexId":"70270845","displayToPublicDate":"2024-11-08T09:59:02","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"CSS-159-2024","title":"Biological feasibility of introducing bighorn sheep to the Jicarilla Apache Nation","docAbstract":"<p>The biological feasibility of introducing Rocky Mountain bighorn sheep (<i>Ovis canadensis canadensis</i>) to the Dulce area of the Jicarilla Apache Nation (JAN) depends on availability and condition of potential habitat and the potential for disease risk, as pneumonia is the largest current threat to wild sheep populations. We modeled quality and quantity of potential bighorn sheep habitat incorporating the three most recent fire scars around Dulce, determined potential winter range within preferred habitat, assessed on the ground vegetation characteristics, and examined potential for disease transmission via risk of contact with domestic sheep and goats. Most of the area of interest for this study has a suitability value ≥ 50%, with approximately 23-29% of the study area considered preferred, or high-quality habitat for bighorn sheep. High-quality habitat for Rocky Mountain bighorn sheep is defined as being within 300 m of escape terrain, within 1.6 km of water, and containing ≤ 30% shrub and tree cover. Of this, approximately 43-56% of potential preferred habitat qualifies as winter range, which is mostly concentrated in the narrow valley bottoms where roads are commonly located and the south-facing slopes surrounding valleys. Analysis of field-collected vegetation data indicate most of the existing forage within the surveyed area to be of moderate or high forage value to bighorn sheep, but horizontal visibility, predominantly in the form of shrubs, is more obscured than what bighorn sheep prefer for most of the area of interest. Maximum shrub and tree cover is also the most limiting factor in the suitability model, primarily due to the prevalence of dense shrub regeneration, particularly Gambel oak, which occurs after high severity burns. The largest quantities of high-quality potential bighorn sheep habitat within the study area occur in unburned areas or those burnt by the predominantly low-moderate severity Amargo fire in 2021. Relative to risk of contact with domestic sheep and goats that can transmit lethal pneumonia-causing pathogens, potentially causing an introduction effort to fail, there is high risk because of the proximity to two hobby-subsistence herds (&lt; 3 km away).</p>","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/10.3996/css73616801","usgsCitation":"Thompson, C.J., and Cain, J.W., 2024, Biological feasibility of introducing bighorn sheep to the Jicarilla Apache Nation: Cooperator Science Series CSS-159-2024, 80 p., https://doi.org/10.3996/10.3996/css73616801.","productDescription":"80 p.","ipdsId":"IP-167003","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":494875,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.fws.gov/media/biological-feasibility-introducing-bighorn-sheep-jicarilla-apache-nation","linkFileType":{"id":5,"text":"html"}},{"id":495006,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Jicarilla Apache Reservation","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -106.01771249033892,\n              36.99249959403626\n            ],\n            [\n              -107.5487950989812,\n              36.99249959403626\n            ],\n            [\n              -107.5487950989812,\n              36.05621273485714\n            ],\n            [\n              -106.01771249033892,\n              36.05621273485714\n            ],\n            [\n              -106.01771249033892,\n              36.99249959403626\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationDate":"2024-11-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Thompson, Cara J.","contributorId":360559,"corporation":false,"usgs":false,"family":"Thompson","given":"Cara","middleInitial":"J.","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":947210,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":947211,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70260845,"text":"70260845 - 2024 - Riparian methylmercury production increases riverine mercury flux and food web concentrations","interactions":[],"lastModifiedDate":"2025-02-07T16:28:17.344914","indexId":"70260845","displayToPublicDate":"2024-11-08T09:57:15","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Riparian methylmercury production increases riverine mercury flux and food web concentrations","docAbstract":"<p><span>The production and uptake of toxic methylmercury (MeHg) impacts aquatic ecosystems globally. Rivers can be dynamic and difficult systems to study for MeHg production and bioaccumulation, hence identifying sources of MeHg to these systems is both challenging and important for resource management within rivers and main-stem reservoirs. Riparian zones, which are known biogeochemical hotspots for MeHg production, are understudied as potential sources of MeHg to rivers. Here, we present a comprehensive quantification of the hydrologic and biogeochemical processes governing MeHg concentrations, loads, and bioaccumulation at 16 locations along 164 km of the agriculturally intensive Snake River (Idaho, Oregon USA) during summer baseflow conditions, with emphasis on riparian production of MeHg. Approximately one-third of the MeHg load of the Snake River could not be attributed to inflowing waters (upgradient, tributaries, or irrigation drains). Across the study reach, increases in MeHg loads in surface waters were significantly correlated with MeHg concentrations in riparian porewaters, suggesting riparian zones were likely an important source of MeHg to the Snake River. Across all locations, MeHg concentrations in surface waters positively correlated with MeHg concentrations in benthic snails and clams, supporting that riparian produced MeHg was assimilated into local aquatic food webs. This study contributes new insights into riparian MeHg production within rivers which can inform mitigation efforts to reduce MeHg bioaccumulation in fish.</span></p>","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.4c08585","usgsCitation":"Krause, V., Baldwin, A.K., Peterson, B.D., Krabbenhoft, D.P., Janssen, S., Willacker, J., Eagles-Smith, C., and Poulin, B., 2024, Riparian methylmercury production increases riverine mercury flux and food web concentrations: Environmental Science & Technology, v. 58, no. 46, p. 20490-20501, https://doi.org/10.1021/acs.est.4c08585.","productDescription":"12 p.","startPage":"20490","endPage":"20501","ipdsId":"IP-168495","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":463875,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":466774,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.4c08585","text":"Publisher Index Page"}],"country":"United States","state":"Idaho, Oregon","otherGeospatial":"Snake River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -117.76519965515584,\n              44.99304074681157\n            ],\n            [\n              -117.75863076747619,\n              42.94336107731144\n            ],\n            [\n              -116.17776769472738,\n              42.9364463608284\n            ],\n            [\n              -116.25927931073849,\n              44.985691191051046\n            ],\n            [\n              -117.76519965515584,\n              44.99304074681157\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"58","issue":"46","noUsgsAuthors":false,"publicationDate":"2024-11-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Krause, Virginia","contributorId":346163,"corporation":false,"usgs":false,"family":"Krause","given":"Virginia","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":918280,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baldwin, Austin K. 0000-0002-6027-3823 akbaldwi@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3823","contributorId":4515,"corporation":false,"usgs":true,"family":"Baldwin","given":"Austin","email":"akbaldwi@usgs.gov","middleInitial":"K.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":918281,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, Benjamin D.","contributorId":328487,"corporation":false,"usgs":false,"family":"Peterson","given":"Benjamin","email":"","middleInitial":"D.","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":918282,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":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},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":918283,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":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":918284,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Willacker, James 0000-0002-6286-5224","orcid":"https://orcid.org/0000-0002-6286-5224","contributorId":221744,"corporation":false,"usgs":true,"family":"Willacker","given":"James","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":918285,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":221745,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":918286,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Poulin, Brett A.","contributorId":328488,"corporation":false,"usgs":false,"family":"Poulin","given":"Brett A.","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":918287,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70261200,"text":"70261200 - 2024 - Near-term ecological forecasting for climate change action","interactions":[],"lastModifiedDate":"2024-12-10T15:40:21.945944","indexId":"70261200","displayToPublicDate":"2024-11-08T08:55:08","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2841,"text":"Nature Climate Change","onlineIssn":"1758-6798","printIssn":"1758-678X","active":true,"publicationSubtype":{"id":10}},"title":"Near-term ecological forecasting for climate change action","docAbstract":"<p><span>A substantial increase in predictive capacity is needed to anticipate and mitigate the widespread change in ecosystems and their services in the face of climate and biodiversity crises. In this era of accelerating change, we cannot rely on historical patterns or focus primarily on long-term projections that extend decades into the future. In this Perspective, we discuss the potential of near-term (daily to decadal) iterative ecological forecasting to improve decision-making on actionable time frames. We summarize the current status of ecological forecasting and focus on how to scale up, build on lessons from weather forecasting, and take advantage of recent technological advances. We also highlight the need to focus on equity, workforce development, and broad cross-disciplinary and non-academic partnerships.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41558-024-02182-0","usgsCitation":"Dietze, M., White, E.P., Abeyta, A., Boettiger, C., Bueno Watts, N., Carey, C.C., Chaplin-Kramer, R., Emanuel, R.E., Ernest, S.M., Figueiredo, R., Gerst, M., Johnson, L.R., Kenney, M.A., McLachlan, J.S., Paschalidis, I., Peters, J., Rollinson, C.R., Simonis, J., Sullivan-Wiley, K., Thomas, R.Q., Wardle, G.M., Willson, A., and Zwart, J.A., 2024, Near-term ecological forecasting for climate change action: Nature Climate Change, v. 14, p. 1236-1244, https://doi.org/10.1038/s41558-024-02182-0.","productDescription":"9 p.","startPage":"1236","endPage":"1244","ipdsId":"IP-151657","costCenters":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":489045,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/10919/122612","text":"External Repository"},{"id":464589,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","noUsgsAuthors":false,"publicationDate":"2024-11-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Dietze, Michael","contributorId":248349,"corporation":false,"usgs":false,"family":"Dietze","given":"Michael","affiliations":[],"preferred":false,"id":919605,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, Ethan P.","contributorId":190112,"corporation":false,"usgs":false,"family":"White","given":"Ethan","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":919606,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abeyta, Antoinette","contributorId":346577,"corporation":false,"usgs":false,"family":"Abeyta","given":"Antoinette","email":"","affiliations":[{"id":82890,"text":"University of New Mexico Gallup","active":true,"usgs":false}],"preferred":false,"id":919607,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boettiger, Carl 0000-0002-1642-628X","orcid":"https://orcid.org/0000-0002-1642-628X","contributorId":332018,"corporation":false,"usgs":false,"family":"Boettiger","given":"Carl","email":"","affiliations":[{"id":79359,"text":"Department of Environmental Science, Policy and Management, University of California Berkeley, Berkeley, CA","active":true,"usgs":false}],"preferred":false,"id":919608,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bueno Watts, Nievita","contributorId":346578,"corporation":false,"usgs":false,"family":"Bueno Watts","given":"Nievita","email":"","affiliations":[{"id":63943,"text":"Cal Poly Humboldt","active":true,"usgs":false}],"preferred":false,"id":919609,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carey, Cayelan C.","contributorId":130969,"corporation":false,"usgs":false,"family":"Carey","given":"Cayelan","email":"","middleInitial":"C.","affiliations":[{"id":7185,"text":"Department of Biological Sciences, Virginia Tech, Blacksburg, VA, USA","active":true,"usgs":false}],"preferred":false,"id":919610,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chaplin-Kramer, Rebecca 0000-0002-1539-5231","orcid":"https://orcid.org/0000-0002-1539-5231","contributorId":213447,"corporation":false,"usgs":false,"family":"Chaplin-Kramer","given":"Rebecca","email":"","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":919611,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Emanuel, Ryan E.","contributorId":346579,"corporation":false,"usgs":false,"family":"Emanuel","given":"Ryan","email":"","middleInitial":"E.","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":919612,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ernest, S.K. Morgan","contributorId":346580,"corporation":false,"usgs":false,"family":"Ernest","given":"S.K.","email":"","middleInitial":"Morgan","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":919613,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Figueiredo, Renato","contributorId":346581,"corporation":false,"usgs":false,"family":"Figueiredo","given":"Renato","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":919614,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Gerst, Michael","contributorId":346582,"corporation":false,"usgs":false,"family":"Gerst","given":"Michael","email":"","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":919615,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Johnson, Leah R.","contributorId":139035,"corporation":false,"usgs":false,"family":"Johnson","given":"Leah","email":"","middleInitial":"R.","affiliations":[{"id":12621,"text":"University of Chicago and University of South Florida","active":true,"usgs":false}],"preferred":false,"id":919616,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Kenney, Melissa A.","contributorId":340908,"corporation":false,"usgs":false,"family":"Kenney","given":"Melissa","email":"","middleInitial":"A.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":919617,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"McLachlan, Jason S.","contributorId":245535,"corporation":false,"usgs":false,"family":"McLachlan","given":"Jason","email":"","middleInitial":"S.","affiliations":[{"id":39516,"text":"University of Notre Dame","active":true,"usgs":false}],"preferred":false,"id":919618,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Paschalidis, Ioannis","contributorId":346583,"corporation":false,"usgs":false,"family":"Paschalidis","given":"Ioannis","email":"","affiliations":[{"id":13570,"text":"Boston University","active":true,"usgs":false}],"preferred":false,"id":919619,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Peters, Jody","contributorId":216790,"corporation":false,"usgs":false,"family":"Peters","given":"Jody","affiliations":[{"id":39516,"text":"University of Notre Dame","active":true,"usgs":false}],"preferred":false,"id":919620,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Rollinson, Christine R.","contributorId":265918,"corporation":false,"usgs":false,"family":"Rollinson","given":"Christine","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":919621,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Simonis, Juniper","contributorId":210025,"corporation":false,"usgs":false,"family":"Simonis","given":"Juniper","affiliations":[{"id":38052,"text":"DAPPER Stats","active":true,"usgs":false}],"preferred":false,"id":919622,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Sullivan-Wiley, Kira","contributorId":346584,"corporation":false,"usgs":false,"family":"Sullivan-Wiley","given":"Kira","email":"","affiliations":[{"id":65917,"text":"The Pew Charitable Trusts","active":true,"usgs":false}],"preferred":false,"id":919623,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Thomas, R. Quinn","contributorId":210633,"corporation":false,"usgs":false,"family":"Thomas","given":"R.","email":"","middleInitial":"Quinn","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":919624,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Wardle, Glenda M 0000-0003-0189-1899","orcid":"https://orcid.org/0000-0003-0189-1899","contributorId":294959,"corporation":false,"usgs":false,"family":"Wardle","given":"Glenda","email":"","middleInitial":"M","affiliations":[{"id":63806,"text":"School of Life and Environmental Sciences, University of Sydney, NSW 2006, Australia","active":true,"usgs":false}],"preferred":false,"id":919625,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Willson, Alyssa","contributorId":303910,"corporation":false,"usgs":false,"family":"Willson","given":"Alyssa","email":"","affiliations":[{"id":65926,"text":"U Notre Dame","active":true,"usgs":false}],"preferred":false,"id":919626,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Zwart, Jacob Aaron 0000-0002-3870-405X","orcid":"https://orcid.org/0000-0002-3870-405X","contributorId":237809,"corporation":false,"usgs":true,"family":"Zwart","given":"Jacob","email":"","middleInitial":"Aaron","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":919627,"contributorType":{"id":1,"text":"Authors"},"rank":23}]}}
,{"id":70266388,"text":"70266388 - 2024 - Effects of release strategy, source population, and age on reintroduced scaled quail reproduction","interactions":[],"lastModifiedDate":"2025-05-06T15:11:55.444491","indexId":"70266388","displayToPublicDate":"2024-11-08T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Effects of release strategy, source population, and age on reintroduced scaled quail reproduction","docAbstract":"<p><span>Translocation is one strategy to reestablish populations of scaled quail (</span><i>Callipepla squamata</i><span>). Initial reproductive success post-translocation is important for establishing short-lived species such as quail, but factors influencing reproductive success are poorly understood. We evaluated the effect of source population and variation in delayed release strategy (1−9 weeks) on nest initiation and nest survival of wild-caught, translocated scaled quail. We trapped and translocated scaled quail in 2016–2017 from source populations in the Edwards Plateau and Rolling Plains ecoregions of Texas, USA, to a large contiguous (&gt;40,000 ha) release site in Knox County, Texas. We used a multi-state mark-recapture model with state uncertainty to test for effects of release treatment, source population, age, release location, and year on nest initiation and survival. Increased length of holding time decreased re-nesting effort. Yearlings were more likely to initiate nests than adults and the probability of re-nesting was lower during the year with drought conditions. There was no effect of source population on any of the parameters we evaluated. Future scaled quail reintroduction efforts may benefit from prioritizing translocation of yearlings and conducting translocations when drought conditions are not forecasted.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22660","usgsCitation":"Ruzicka, R., Rollins, D., Kendall, W.L., and Doherty, P.F., 2024, Effects of release strategy, source population, and age on reintroduced scaled quail reproduction: Journal of Wildlife Management, v. 88, no. 8, e22660, 15 p., https://doi.org/10.1002/jwmg.22660.","productDescription":"e22660, 15 p.","ipdsId":"IP-163958","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":490103,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.22660","text":"Publisher Index Page"},{"id":485451,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","county":"Knox County","otherGeospatial":"Edwards Plateau, Rolling Plains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -100.06618223574085,\n              33.8841524446256\n            ],\n            [\n              -100.06618223574085,\n              33.291492418907126\n            ],\n            [\n              -99.37113169882426,\n              33.291492418907126\n            ],\n            [\n              -99.37113169882426,\n              33.8841524446256\n            ],\n            [\n              -100.06618223574085,\n              33.8841524446256\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"88","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-08-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Ruzicka, Rebekah E.","contributorId":354109,"corporation":false,"usgs":false,"family":"Ruzicka","given":"Rebekah E.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":935800,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rollins, Dale","contributorId":140708,"corporation":false,"usgs":false,"family":"Rollins","given":"Dale","email":"","affiliations":[],"preferred":false,"id":935801,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kendall, William L. 0000-0003-0084-9891","orcid":"https://orcid.org/0000-0003-0084-9891","contributorId":204844,"corporation":false,"usgs":true,"family":"Kendall","given":"William","email":"","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":935802,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Doherty, Paul F. 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,{"id":70260481,"text":"ofr20241051 - 2024 - Upper Mississippi River System hydrogeomorphic change conceptual model and hierarchical classification","interactions":[],"lastModifiedDate":"2025-12-22T21:33:00.464442","indexId":"ofr20241051","displayToPublicDate":"2024-11-07T14:56:42","publicationYear":"2024","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":"2024-1051","displayTitle":"Upper Mississippi River System Hydrogeomorphic Change Conceptual Model and Hierarchical Classification","title":"Upper Mississippi River System hydrogeomorphic change conceptual model and hierarchical classification","docAbstract":"<p>Understanding the geomorphic processes and causes for long-term hydrogeomorphic changes along the Upper Mississippi River System (UMRS) is necessary for scientific studies ranging from habitat needs assessments, sediment transport, and nutrient processing, and making sound management decisions and prioritizing ecological restoration activities. From 2018 through 2020 the U.S. Geological Survey and U.S. Army Corps of Engineers led a series of calls and meetings, and a workshop to develop a draft UMRS hydrogeomorphic change conceptual model and hierarchical classification scheme. This project was funded through an Upper Mississippi River Restoration 2018 science in support of restoration proposal entitled, “Conceptual Model and Hierarchical Classification of Hydrogeomorphic Settings in the Upper Mississippi River System.” This report documents the background leading up to and the major findings from the workshop. The resulting conceptual model focuses on the drivers and boundary conditions that affect the major hydrogeomorphic processes along the valley corridor using a continuum of spatial and temporal scales and resolutions. The draft hierarchical classification was based on three existing and three new nested geospatial datasets that ultimately can be used to characterize hydrogeomorphic settings that span the UMRS valley corridor. The conceptual model and hierarchical classification will help characterize recent (mid-1990s through mid-2010s) decadal-scale processes and sources for potential hydrogeomorphic change that span a range of spatial scales from watershed hydrology and sediment sources to channel hydraulics and sediment transport.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241051","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Fitzpatrick, F.A., Rogala, J.T., Hendrickson, J.S., Sawyer, L., Stone, J., Erwin, S., Brauer, E.J., and Vaughan, A.A., 2024, Upper Mississippi River System hydrogeomorphic change conceptual model and hierarchical classification: U.S. Geological Survey Open-File Report 2024–1051, 24 p., https://doi.org/10.3133/ofr20241051.","productDescription":"vi, 24 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Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117772.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Illinois, Indiana, Iowa, Minnesota, Missouri, South Dakota, Wisconsin","otherGeospatial":"Upper Mississippi River System","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -87.50342683246095,\n              40.74721296729754\n            ],\n            [\n              -86.22485822523954,\n              41.12212957640983\n            ],\n            [\n              -86.47633619015835,\n              41.49085772032035\n            ],\n            [\n              -87.70997806528162,\n              41.54161184649007\n            ],\n            [\n              -87.96780499446993,\n              42.13710516972478\n            ],\n            [\n              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Survey<br></div><div data-ogsc=\"black\">2630 Fanta Reed Road</div><div data-ogsc=\"black\">La Crosse, WI 54603</div><p><a data-mce-href=\"../contact\" href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li style=\"text-align: left;\" data-mce-style=\"text-align: left;\">Abstract</li><li style=\"text-align: left;\" data-mce-style=\"text-align: left;\">Introduction</li><li style=\"text-align: left;\" data-mce-style=\"text-align: left;\">Previous Studies and Existing Geospatial Data</li><li style=\"text-align: left;\" data-mce-style=\"text-align: left;\">Conceptual Model Development for Upper Mississippi River System Hydrogeomorphic Change</li><li style=\"text-align: left;\" data-mce-style=\"text-align: left;\">Components of a Hydrogeomorphic Change Hierarchical Classification System</li><li style=\"text-align: left;\" data-mce-style=\"text-align: left;\">Application of Draft Conceptual Model and Hierarchical Classification System to Pool 8</li><li style=\"text-align: left;\" data-mce-style=\"text-align: left;\">Future Needs for Classification, Mapping, and Visualization</li><li style=\"text-align: left;\" data-mce-style=\"text-align: left;\">Summary</li><li style=\"text-align: left;\" data-mce-style=\"text-align: left;\">References Cited</li><li style=\"text-align: left;\" data-mce-style=\"text-align: left;\">Appendix 1. Participants of the Upper Mississippi River Restoration Geomorphic Characterization Workshop, November 14–15, 2018</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2024-11-07","noUsgsAuthors":false,"publicationDate":"2024-11-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Fitzpatrick, Faith A. 0000-0002-9748-7075","orcid":"https://orcid.org/0000-0002-9748-7075","contributorId":209444,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Faith A.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":917811,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rogala, James T. 0000-0002-1954-4097","orcid":"https://orcid.org/0000-0002-1954-4097","contributorId":333427,"corporation":false,"usgs":false,"family":"Rogala","given":"James T.","affiliations":[{"id":37374,"text":"Retired USGS","active":true,"usgs":false}],"preferred":false,"id":917812,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hendrickson, Jon S.","contributorId":345903,"corporation":false,"usgs":false,"family":"Hendrickson","given":"Jon S.","affiliations":[{"id":82739,"text":"U.S. Army Corps of Engineers (retired)","active":true,"usgs":false}],"preferred":false,"id":917813,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sawyer, Lucie","contributorId":345904,"corporation":false,"usgs":false,"family":"Sawyer","given":"Lucie","email":"","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":917814,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stone, Jayme 0000-0002-0512-3072","orcid":"https://orcid.org/0000-0002-0512-3072","contributorId":251712,"corporation":false,"usgs":false,"family":"Stone","given":"Jayme","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":917815,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Erwin, Susannah 0000-0002-2799-0118","orcid":"https://orcid.org/0000-0002-2799-0118","contributorId":291408,"corporation":false,"usgs":false,"family":"Erwin","given":"Susannah","affiliations":[{"id":48162,"text":"National Park Service, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":917816,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brauer, Edward J.","contributorId":345905,"corporation":false,"usgs":false,"family":"Brauer","given":"Edward","email":"","middleInitial":"J.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":917817,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vaughan, Angus 0000-0001-9900-4658","orcid":"https://orcid.org/0000-0001-9900-4658","contributorId":302333,"corporation":false,"usgs":true,"family":"Vaughan","given":"Angus","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":917818,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70260873,"text":"70260873 - 2024 - Intense alteration on early Mars revealed by high-aluminum rocks at Jezero Crater","interactions":[],"lastModifiedDate":"2024-11-13T16:15:20.508849","indexId":"70260873","displayToPublicDate":"2024-11-07T10:07:11","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8956,"text":"Communications Earth & Environment","active":true,"publicationSubtype":{"id":10}},"title":"Intense alteration on early Mars revealed by high-aluminum rocks at Jezero Crater","docAbstract":"<p><span>The NASA&nbsp;</span><i>Perseverance</i><span>&nbsp;rover discovered light-toned float rocks scattered across the surface of Jezero crater that are particularly rich in alumina (&nbsp;~ 35 wt% Al</span><sub>2</sub><span>O</span><sub>3</sub><span>) and depleted in other major elements (except silica). These unique float rocks have heterogeneous mineralogy ranging from kaolinite/halloysite-bearing in hydrated samples, to spinel-bearing in dehydrated samples also containing a dehydrated Al-rich phase. Here we describe SuperCam and Mastcam-Z observations of the float rocks, including the first in situ identification of kaolinite or halloysite on another planet, and dehydrated phases including spinel and apparent partially dehydroxylated kaolinite. The presence of spinel in these samples is likely detrital in origin, surviving kaolinitization, pointing to an ultramafic origin. However, the association of low hydration with increased Al</span><sub>2</sub><span>O</span><sub>3</sub><span>&nbsp;abundances suggests heating-induced dehydration which could have occurred during the lithification or impact excavation of these rocks. Given the orbital context of kaolinite-bearing megabreccia in the Jezero crater rim, we propose an origin for these rocks involving intense aqueous alteration of the parent material, followed by dehydration/lithification potentially through impact processes, and dispersion into Jezero crater through flood or impact-related processes.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s43247-024-01837-2","usgsCitation":"Royer, C., Bedford, C., Johnson, J., Horgan, B., Broz, A., Forni, O., Connell, S., Wiens, R., Mandon, L., Kathir, B., Hausrath, E., Udry, A., Madariaga, J., Dehouck, E., Anderson, R.B., Beck, P., Beyssac, O., Clavé, É., Clegg, S., Cloutis, E., Fouchet, T., Gabriel, T.S., Garczynski, B., Klidaras, A., Manelski, H., Mayhew, L., Nunez, J., Ollila, A., Schröder, S., Simon, J., Wolf, U., Stack, K., Cousin, A., and Maurice, S., 2024, Intense alteration on early Mars revealed by high-aluminum rocks at Jezero Crater: Communications Earth & Environment, v. 5, 671, 13 p., https://doi.org/10.1038/s43247-024-01837-2.","productDescription":"671, 13 p.","ipdsId":"IP-159028","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":466775,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s43247-024-01837-2","text":"Publisher Index Page"},{"id":463905,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Jezero Crater, Mars","volume":"5","noUsgsAuthors":false,"publicationDate":"2024-11-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Royer, C.","contributorId":290121,"corporation":false,"usgs":false,"family":"Royer","given":"C.","email":"","affiliations":[],"preferred":false,"id":918336,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bedford, C.C.","contributorId":346181,"corporation":false,"usgs":false,"family":"Bedford","given":"C.C.","email":"","affiliations":[{"id":82793,"text":"Purdue University Earth, Atmospheric and Planetary Sciences department, West Lafayette, IN, USA","active":true,"usgs":false}],"preferred":false,"id":918337,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, J.R.","contributorId":296826,"corporation":false,"usgs":false,"family":"Johnson","given":"J.R.","email":"","affiliations":[{"id":7166,"text":"Johns Hopkins University Applied Physics Laboratory","active":true,"usgs":false}],"preferred":false,"id":918338,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Horgan, B.H.N.","contributorId":296798,"corporation":false,"usgs":false,"family":"Horgan","given":"B.H.N.","email":"","affiliations":[{"id":64183,"text":"Department of Earth, Atmospheric, and Planetary Sciences, Purdue University","active":true,"usgs":false}],"preferred":false,"id":918339,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Broz, A.","contributorId":346182,"corporation":false,"usgs":false,"family":"Broz","given":"A.","email":"","affiliations":[{"id":82793,"text":"Purdue University Earth, Atmospheric and Planetary Sciences department, West Lafayette, IN, USA","active":true,"usgs":false}],"preferred":false,"id":918340,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Forni, O.","contributorId":290037,"corporation":false,"usgs":false,"family":"Forni","given":"O.","affiliations":[{"id":62314,"text":"Institut de Recherche en Astrophysique et Planétologie, Université de Toulouse","active":true,"usgs":false}],"preferred":false,"id":918341,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Connell, S.","contributorId":290071,"corporation":false,"usgs":false,"family":"Connell","given":"S.","email":"","affiliations":[{"id":16930,"text":"University of Winnipeg","active":true,"usgs":false}],"preferred":false,"id":918342,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wiens, R. C.","contributorId":344463,"corporation":false,"usgs":false,"family":"Wiens","given":"R.","middleInitial":"C.","affiliations":[{"id":82350,"text":"Department of Earth, Atmospheric, and Planetary Sciences, Purdue University, West Lafayette, IN, USA","active":true,"usgs":false}],"preferred":false,"id":918343,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mandon, L.","contributorId":290096,"corporation":false,"usgs":false,"family":"Mandon","given":"L.","affiliations":[{"id":62337,"text":"LESIA, Observatoire de Paris, Université PSL, Sorbonne Université, Université de Paris","active":true,"usgs":false}],"preferred":false,"id":918344,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kathir, B.S.","contributorId":346183,"corporation":false,"usgs":false,"family":"Kathir","given":"B.S.","email":"","affiliations":[{"id":82795,"text":"Western Washington Univ., Bellingham, WA, USA","active":true,"usgs":false}],"preferred":false,"id":918345,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hausrath, E.M.","contributorId":296851,"corporation":false,"usgs":false,"family":"Hausrath","given":"E.M.","affiliations":[{"id":64217,"text":"Department of Geoscience, University of Nevada, Las Vegas","active":true,"usgs":false}],"preferred":false,"id":918346,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Udry, A.","contributorId":290128,"corporation":false,"usgs":false,"family":"Udry","given":"A.","affiliations":[],"preferred":false,"id":918347,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Madariaga, J.M.","contributorId":346185,"corporation":false,"usgs":false,"family":"Madariaga","given":"J.M.","email":"","affiliations":[{"id":82797,"text":"Department of Analytical Chemistry, University of the Basque Country, UPV/EHU, 48940 Leioa, Spain","active":true,"usgs":false}],"preferred":false,"id":918348,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Dehouck, E.","contributorId":290073,"corporation":false,"usgs":false,"family":"Dehouck","given":"E.","affiliations":[{"id":62330,"text":"Univ. 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(DLR), Institut für Optische Sensorsysteme, 12489 Berlin, Germany","active":true,"usgs":false}],"preferred":false,"id":918353,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Clegg, S.M.","contributorId":346187,"corporation":false,"usgs":false,"family":"Clegg","given":"S.M.","affiliations":[{"id":82799,"text":"Los Alamos National Laboratory, Los Alamos, NM, USA","active":true,"usgs":false}],"preferred":false,"id":918354,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Cloutis, E.","contributorId":290070,"corporation":false,"usgs":false,"family":"Cloutis","given":"E.","affiliations":[{"id":16930,"text":"University of Winnipeg","active":true,"usgs":false}],"preferred":false,"id":918355,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Fouchet, T.","contributorId":290038,"corporation":false,"usgs":false,"family":"Fouchet","given":"T.","affiliations":[{"id":62316,"text":"LESIA, Observatoire de Paris, Université PSL, Sorbonne Université, Université de Paris, CNRS","active":true,"usgs":false}],"preferred":false,"id":918428,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Gabriel, Travis S.J. 0000-0002-9767-4153","orcid":"https://orcid.org/0000-0002-9767-4153","contributorId":290080,"corporation":false,"usgs":true,"family":"Gabriel","given":"Travis","email":"","middleInitial":"S.J.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":918356,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Garczynski, B.J.","contributorId":296849,"corporation":false,"usgs":false,"family":"Garczynski","given":"B.J.","email":"","affiliations":[{"id":64183,"text":"Department of Earth, Atmospheric, and Planetary Sciences, Purdue University","active":true,"usgs":false}],"preferred":false,"id":918357,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Klidaras, A.","contributorId":346188,"corporation":false,"usgs":false,"family":"Klidaras","given":"A.","email":"","affiliations":[{"id":82793,"text":"Purdue University Earth, Atmospheric and Planetary Sciences department, West Lafayette, IN, USA","active":true,"usgs":false}],"preferred":false,"id":918358,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Manelski, H. T.","contributorId":346189,"corporation":false,"usgs":false,"family":"Manelski","given":"H.","middleInitial":"T.","affiliations":[{"id":82793,"text":"Purdue University Earth, Atmospheric and Planetary Sciences department, West Lafayette, IN, USA","active":true,"usgs":false}],"preferred":false,"id":918359,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Mayhew, L.E.","contributorId":290100,"corporation":false,"usgs":false,"family":"Mayhew","given":"L.E.","email":"","affiliations":[{"id":13693,"text":"University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":918360,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Nunez, J.","contributorId":346190,"corporation":false,"usgs":false,"family":"Nunez","given":"J.","email":"","affiliations":[{"id":82801,"text":"Johns Hopkins University Applied Physics Laboratory, Laurel, MD, USA","active":true,"usgs":false}],"preferred":false,"id":918361,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Ollila, A.M.","contributorId":296862,"corporation":false,"usgs":false,"family":"Ollila","given":"A.M.","affiliations":[{"id":13447,"text":"Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":918362,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Schröder, S.E.","contributorId":172142,"corporation":false,"usgs":false,"family":"Schröder","given":"S.E.","affiliations":[{"id":26992,"text":"Institute of Planetary Research, German Aerospace Center","active":true,"usgs":false}],"preferred":false,"id":918363,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Simon, J.I.","contributorId":296801,"corporation":false,"usgs":false,"family":"Simon","given":"J.I.","email":"","affiliations":[{"id":64184,"text":"Center for Isotope Cosmochemistry and Geochronology,Astromaterials Research and Exploration Science Division, NASA Johnson Space Center","active":true,"usgs":false}],"preferred":false,"id":918364,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Wolf, U.","contributorId":346216,"corporation":false,"usgs":false,"family":"Wolf","given":"U.","email":"","affiliations":[],"preferred":false,"id":918365,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Stack, K.M.","contributorId":296796,"corporation":false,"usgs":false,"family":"Stack","given":"K.M.","affiliations":[{"id":64181,"text":"Jet Propulsion Laboratory,  California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":918366,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Cousin, A.","contributorId":290035,"corporation":false,"usgs":false,"family":"Cousin","given":"A.","affiliations":[{"id":62314,"text":"Institut de Recherche en Astrophysique et Planétologie, Université de Toulouse","active":true,"usgs":false}],"preferred":false,"id":918367,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Maurice, S.","contributorId":296856,"corporation":false,"usgs":false,"family":"Maurice","given":"S.","affiliations":[{"id":64219,"text":"Institut de Recherche en Astrophysique et Planetologie, Universite de Toulouse 3 Paul Sabatier, CNRS, CNES","active":true,"usgs":false}],"preferred":false,"id":918368,"contributorType":{"id":1,"text":"Authors"},"rank":34}]}}
,{"id":70260964,"text":"70260964 - 2024 - Depths in a day - A new era of rapid-response Raman-based barometry using fluid inclusions","interactions":[],"lastModifiedDate":"2024-12-10T15:38:41.563856","indexId":"70260964","displayToPublicDate":"2024-11-07T09:57:46","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2420,"text":"Journal of Petrology","active":true,"publicationSubtype":{"id":10}},"title":"Depths in a day - A new era of rapid-response Raman-based barometry using fluid inclusions","docAbstract":"<p>Rapid-response petrological monitoring is a major advance for volcano observatories, allowing them to build and validate models of plumbing systems that supply eruptions in near-real-time. The depth of magma storage has recently been identified as high-priority information for volcanic observatories, yet this information is not currently obtainable via petrological monitoring methods on timescales relevant to eruption response. Fluid inclusion barometry (using micro-thermometry or Raman spectroscopy) is a well-established petrological method to estimate magma storage depths and has been proposed to have potential as a rapid-response monitoring tool, although this has not been formally demonstrated. To address this deficiency, we performed a near-real-time rapid-response simulation for the September 2023 eruption of Kīlauea, Hawaiʻi. We show that Raman-based fluid inclusion barometry can robustly determine reservoir depths within a day of receiving samples — a transformative timescale that has not previously been achieved by petrological methods. Fluid inclusion barometry using micro-thermometric techniques has typically been limited to systems with relatively deep magma storage (&gt;0.4 g/cm<sup>3</sup> or &gt;7 km) where measurements of CO<sub>2</sub> density are easy and accurate because the CO<sub>2</sub> fluid homogenizes into the liquid phase. Improvements of the accuracy of Raman spectroscopy measurements of fluids with low CO<sub>2</sub> density over the past couple of decades has enabled measurements of fluid inclusions from shallower magmatic systems. However, one caveat of examining shallower systems is that the fraction of H<sub>2</sub>O in the fluid may be too high to reliably convert CO<sub>2</sub> density to pressure. To test the global applicability of rapid response fluid inclusion barometry, we compiled a global melt inclusion dataset (&gt;4000 samples) and calculate the fluid composition at the point of vapor saturation (⁠X<sub><sup>H</sup>2<sup>O⁠</sup></sub>). We show that fluid inclusions in crystal-hosts from mafic compositions (&lt;57 wt. % SiO<sub>2</sub>) — likely representative of magmas recharging many volcanic systems worldwide — trap fluids with X<sub><sup>H</sup>2<sup>O</sup></sub>&nbsp;low enough to make fluid inclusion barometry useful at many of the world’s most active and hazardous mafic volcanic systems (e.g., Iceland, Hawaiʻi, Galápagos Islands, East African Rift, Réunion, Canary Islands, Azores, Cabo Verde).</p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/petrology/egae119","usgsCitation":"DeVitre, C., Wieser, P.E., Bearden, A.T., Richie, A., Rangel, B., Gleeson, M., Grimsich, J., Lynn, K.J., Downs, D.T., Deligne, N.I., and Mulliken, K.M., 2024, Depths in a day - A new era of rapid-response Raman-based barometry using fluid inclusions: Journal of Petrology, v. 65, no. 11, egae119, 15 p., https://doi.org/10.1093/petrology/egae119.","productDescription":"egae119, 15 p.","ipdsId":"IP-158109","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":466776,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/petrology/egae119","text":"Publisher Index Page"},{"id":464235,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilauea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -155.2575579892722,\n              19.41802727097236\n            ],\n            [\n              -155.2575579892722,\n              19.40813592330987\n            ],\n            [\n              -155.2414055520364,\n              19.40813592330987\n            ],\n            [\n           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Cambridge","active":true,"usgs":false}],"preferred":false,"id":918714,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bearden, Alexander T.","contributorId":346329,"corporation":false,"usgs":false,"family":"Bearden","given":"Alexander","email":"","middleInitial":"T.","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":918715,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Richie, Araela","contributorId":346330,"corporation":false,"usgs":false,"family":"Richie","given":"Araela","email":"","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":918716,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rangel, Berenise","contributorId":346222,"corporation":false,"usgs":false,"family":"Rangel","given":"Berenise","email":"","affiliations":[{"id":13243,"text":"University of California 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0000-0001-7886-4376","orcid":"https://orcid.org/0000-0001-7886-4376","contributorId":290327,"corporation":false,"usgs":true,"family":"Lynn","given":"Kendra","email":"","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":918720,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Downs, Drew T. 0000-0002-9056-1404 ddowns@usgs.gov","orcid":"https://orcid.org/0000-0002-9056-1404","contributorId":173516,"corporation":false,"usgs":true,"family":"Downs","given":"Drew","email":"ddowns@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":918721,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Deligne, Natalia I. 0000-0001-9221-8581","orcid":"https://orcid.org/0000-0001-9221-8581","contributorId":257389,"corporation":false,"usgs":true,"family":"Deligne","given":"Natalia","email":"","middleInitial":"I.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":918722,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Mulliken, Katherine M. 0000-0003-4190-5060","orcid":"https://orcid.org/0000-0003-4190-5060","contributorId":217810,"corporation":false,"usgs":false,"family":"Mulliken","given":"Katherine","email":"","middleInitial":"M.","affiliations":[{"id":16126,"text":"Alaska Division of Geological and Geophysical Surveys","active":true,"usgs":false}],"preferred":false,"id":918723,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70261191,"text":"70261191 - 2024 - Indigenous knowledge in climate adaptation planning: Reflections from initial efforts","interactions":[],"lastModifiedDate":"2024-11-29T16:02:54.137345","indexId":"70261191","displayToPublicDate":"2024-11-07T08:54:19","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7749,"text":"Frontiers in Climate","active":true,"publicationSubtype":{"id":10}},"title":"Indigenous knowledge in climate adaptation planning: Reflections from initial efforts","docAbstract":"There are increasing calls to incorporate indigenous knowledge (IK) into climate adaptation planning (CAP) and related projects.  However, given unique attributes of IK and the positionality of tribal communities to scientific research, several considerations are important to ensure CAP efforts with IK are ethical and effective.  While such topics have been thoroughly explored conceptually, incorporation of IK into CAP is a nascent field only beginning to report findings and improve science production and delivery. Based on recent work with Ute Mountain Ute (UMU) resource managers and knowledge holders, we reflect on key considerations for incorporating IK into CAP: the importance of sustained and multi-level tribal engagement, operational approaches to IK incorporation, cross-cultural challenges with risk-based approaches, and how CAP can support existing tribal priorities.  We hope exploring these considerations can help set appropriate expectations, promote ethical interactions, and increase the effectiveness of tribal CAP and related efforts.","language":"English","publisher":"Frontiers Media","doi":"10.3389/fclim.2024.1393354","usgsCitation":"Ciocco, T.W., Miller, B.W., Tangen, S.G., Crausbay, S.D., Oldfather, M.F., and Bamzai-Dodson, A., 2024, Indigenous knowledge in climate adaptation planning: Reflections from initial efforts: Frontiers in Climate, v. 6, 1393354, 8 p., https://doi.org/10.3389/fclim.2024.1393354.","productDescription":"1393354, 8 p.","ipdsId":"IP-163417","costCenters":[{"id":40927,"text":"North Central Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":466777,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fclim.2024.1393354","text":"Publisher Index Page"},{"id":464596,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","noUsgsAuthors":false,"publicationDate":"2024-11-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Ciocco, Tony W. 0000-0002-5849-888X","orcid":"https://orcid.org/0000-0002-5849-888X","contributorId":306365,"corporation":false,"usgs":true,"family":"Ciocco","given":"Tony","email":"","middleInitial":"W.","affiliations":[{"id":40927,"text":"North Central Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":919586,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Brian W. 0000-0003-1716-1161","orcid":"https://orcid.org/0000-0003-1716-1161","contributorId":196603,"corporation":false,"usgs":true,"family":"Miller","given":"Brian","email":"","middleInitial":"W.","affiliations":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":919587,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tangen, Stefan Gabriel 0000-0002-6628-6094","orcid":"https://orcid.org/0000-0002-6628-6094","contributorId":346572,"corporation":false,"usgs":true,"family":"Tangen","given":"Stefan","email":"","middleInitial":"Gabriel","affiliations":[{"id":40927,"text":"North Central Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":919588,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crausbay, Shelley D. 0000-0003-3028-801X","orcid":"https://orcid.org/0000-0003-3028-801X","contributorId":346573,"corporation":false,"usgs":false,"family":"Crausbay","given":"Shelley","email":"","middleInitial":"D.","affiliations":[{"id":82887,"text":"U.S.D.A. 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,{"id":70260482,"text":"sir20245095 - 2024 - Real-time pier scour monitoring and observations at three scour-critical sites in Idaho, water years 2020–22","interactions":[],"lastModifiedDate":"2025-12-22T21:36:02.002108","indexId":"sir20245095","displayToPublicDate":"2024-11-06T13:33:30","publicationYear":"2024","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":"2024-5095","displayTitle":"Real-Time Pier Scour Monitoring and Observations at Three Scour-Critical Sites in Idaho, Water Years 2020–22","title":"Real-time pier scour monitoring and observations at three scour-critical sites in Idaho, water years 2020–22","docAbstract":"<p>To observe real-time pier scour at three scour-critical sites in Idaho, the U.S. Geological Survey, in cooperation with Idaho Transportation Department, installed and operated fixed real-time (15-minute interval) bed elevation scour sonar sensors at three bridge locations associated with U.S. Geological Survey streamflow gaging stations for water years 2020 through 2022. Daily mean and peak streamflow conditions during the 3-year study were at or below average except for the peak flow in 2022. Each of the three sites included in the study had a coarse bed with an armored channel. Observed pier scour at each of the three sites was less than 20 percent than the stated minimum depth to the pier pile tip. The below average daily mean and peak streamflow during the study period may have resulted in below average scour.</p><p>Observed pier scour data during spring runoff (water years 2020–22) were compared to both Coarse Bed and Hydraulic Engineering Circular 18 (HEC-18) general pier scour design equation estimates to better understand how the observed pier scour data compared to design pier scour equation estimates during the same observational periods. For the 3-year study period, the Coarse Bed design equation generally overpredicted scour by about 2.5 times less than the HEC-18 general pier scour equation. The risk associated with each design equation was summarized using a reliability index to describe how each prediction might be expected to reliably overestimate scour depth. Overall, the Coarse Bed design scour equation provided more reasonable scour depth estimates than the HEC-18 general pier scour equation but with more risk to underestimating scour depth. Because these data are limited (3 sites, 3 years, and during average streamflow conditions), further research is needed to compare observed scour data to estimates predicted by the Coarse Bed design equation and other design equations.</p><p>This study demonstrated that real-time pier scour monitoring is a useful method and countermeasure at critical bridge sites. A recently developed rapid deployment real-time pier scour monitoring method may be a useful method to consider for future studies. Real-time monitoring at scour critical sites may be a useful tool to confirm previous scour evaluation estimates where site inspection scour observations conflict with the scour evaluation estimates. Considering alternative scour monitoring and evaluation methods, including the rapid estimation method, and updating pier scour calculations using the most recent coarse-bed pier scour equation may offer a more cost-effective solution to identifying and updating scour critical coding for bridges in Idaho. For scour critical bridge sites, the real-time pier scour monitoring methods used for this study provided an effective real-time local pier scour monitoring countermeasure.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245095","collaboration":"Prepared in cooperation with the Idaho Transportation Department","usgsCitation":"Fosness, R.L., and Schauer, P.V., 2024, Real-time pier scour monitoring and observations at three scour-critical sites in Idaho, water years 2020–22: U.S. Geological Survey Scientific Investigations Report 2024–5095, 23 p., https://doi.org/10.3133/sir20245095.","productDescription":"Report; vii, 23 p.p.; Data Release","onlineOnly":"Y","ipdsId":"IP-128131","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":497921,"rank":7,"type":{"id":36,"text":"NGMDB Index 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83702-4250</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods For Site Selection and Real-Time Pier Scour Monitoring</li><li>Results of Real-Time Pier Scour Monitoring and Hydraulic Assessment</li><li>Discussion and Considerations for Further Research</li><li>Summary</li><li>References Cited</li><li>Glossary</li></ul>","publishedDate":"2024-11-06","noUsgsAuthors":false,"publicationDate":"2024-11-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Fosness, Ryan L. 0000-0003-4089-2704 rfosness@usgs.gov","orcid":"https://orcid.org/0000-0003-4089-2704","contributorId":2703,"corporation":false,"usgs":true,"family":"Fosness","given":"Ryan","email":"rfosness@usgs.gov","middleInitial":"L.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":917819,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schauer, Paul V. 0000-0001-5529-4649 pschauer@usgs.gov","orcid":"https://orcid.org/0000-0001-5529-4649","contributorId":5779,"corporation":false,"usgs":true,"family":"Schauer","given":"Paul","email":"pschauer@usgs.gov","middleInitial":"V.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":917820,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70261153,"text":"70261153 - 2024 - Greater plasticity in CTmax with increased climate variability among populations of tailed frogs","interactions":[],"lastModifiedDate":"2024-11-26T16:44:54.27144","indexId":"70261153","displayToPublicDate":"2024-11-06T10:41:06","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3173,"text":"Proceedings of the Royal Society B","active":true,"publicationSubtype":{"id":10}},"title":"Greater plasticity in CTmax with increased climate variability among populations of tailed frogs","docAbstract":"<p><span>Temporally variable climates are expected to drive the evolution of thermal physiological traits that enable performance across a wider range of temperatures (i.e. climate variability hypothesis, CVH). Spatial thermal variability, however, may mediate this relationship by providing ectotherms with the opportunity to behaviourally select preferred temperatures (i.e. the Bogert effect). These antagonistic forces on thermal physiological traits may explain the mixed support for the CVH within species despite strong support among species at larger geographical scales. Here, we test the CVH as it relates to plasticity in physiological upper thermal limits (critical thermal maximum—CTmax) among populations of coastal tailed frogs (</span><i>Ascaphus truei</i><span>). We targeted populations that inhabit spatially homogeneous environments, reducing the potentially confounding effects of behavioural thermoregulation. We found that populations experiencing greater temporal thermal variability exhibited greater plasticity in CTmax, supporting the CVH. Interestingly, we identified only one site with spatial temperature variability and tadpoles from this site demonstrated greater plasticity than expected, suggesting the opportunity for behavioural thermoregulation can reduce support for the CVH. Overall, our results demonstrate one role of climate variability in shaping thermal plasticity among populations and provide a baseline understanding of the impact of the CVH in spatially homogeneous thermal landscapes.</span></p>","language":"English","publisher":"The Royal Society","doi":"10.1098/rspb.2024.1628","usgsCitation":"Cicchino, A.S., Ghalambor, C.K., Forester, B.R., Dunham, J., and Funk, W., 2024, Greater plasticity in CTmax with increased climate variability among populations of tailed frogs: Proceedings of the Royal Society B, v. 291, no. 2034, 20241628, https://doi.org/10.1098/rspb.2024.1628.","productDescription":"20241628","ipdsId":"IP-169449","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":497360,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11537758/","text":"External Repository"},{"id":464535,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"291","issue":"2034","noUsgsAuthors":false,"publicationDate":"2024-11-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Cicchino, Amanda S. 0000-0003-0170-829X","orcid":"https://orcid.org/0000-0003-0170-829X","contributorId":306171,"corporation":false,"usgs":false,"family":"Cicchino","given":"Amanda","email":"","middleInitial":"S.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":919451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ghalambor, Cameron K.","contributorId":93722,"corporation":false,"usgs":false,"family":"Ghalambor","given":"Cameron","email":"","middleInitial":"K.","affiliations":[{"id":6998,"text":"Department of Biology, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":919452,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Forester, Brenna R.","contributorId":261215,"corporation":false,"usgs":false,"family":"Forester","given":"Brenna","email":"","middleInitial":"R.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":919453,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dunham, Jason 0000-0002-6268-0633","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":220078,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":919454,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Funk, W. Chris 0000-0002-9254-6718","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":189580,"corporation":false,"usgs":false,"family":"Funk","given":"W. Chris","affiliations":[],"preferred":false,"id":919455,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70260413,"text":"sir20245035 - 2024 - Potential corrosivity of untreated groundwater in Louisiana","interactions":[],"lastModifiedDate":"2025-12-22T21:37:33.869696","indexId":"sir20245035","displayToPublicDate":"2024-11-06T10:30:11","publicationYear":"2024","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":"2024-5035","displayTitle":"Potential Corrosivity of Untreated Groundwater in Louisiana","title":"Potential corrosivity of untreated groundwater in Louisiana","docAbstract":"<p>Corrosive groundwater can cause lead, copper, and other metals to leach from pipes and plumbing fixtures in water distribution systems. Metals, if ingested, could lead to serious health implications to the nearly 2.9 million people in Louisiana who obtain their drinking water from groundwater sources. Four indices—the Langelier Saturation Index (LSI), Ryznar Stability Index (RSI), Puckorius Scaling Index (PSI), and the Potential to Promote Galvanic Corrosion (PPGC)—in addition to an analysis which normalized the results from the existing indices, the Combined Index (CI), were used to assess the corrosivity of groundwater in Louisiana and identify areas within eight major aquifers and aquifer systems with moderate to high corrosivity potential. The purpose of this study is to provide State and local governments, public water system managers, and the nearly 500,000 private well owners in Louisiana with information needed to manage drinking-water supplies and mitigate potential health risks related to leaching of metals from water pipes and fixtures.</p><p>The average scores of untreated groundwater samples from approximately 375 wells by index are as follows: LSI, −1.28; RSI, 9.78; PSI, 9.34; and CI, 4.14. The PPGC does not produce a numerical score, but the total percentage of class counts can be used to assign a classification; overall, samples in Louisiana were classified as significant concern. The percentages of groundwater samples from wells classified as potentially corrosive, by index, are as follows: LSI, 53&nbsp;percent; RSI, 94 percent; PSI, 81 percent; PPGC, 98 percent; and CI, 81 percent. The percentages of samples classified as indeterminate, by index, are as follows: LSI, 46 percent; RSI, 5&nbsp;percent; PSI, 12 percent; PPGC, 0 percent; and CI, 18&nbsp;percent.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245035","issn":"2328-0328","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"Robinson, A.L., 2024, Potential corrosivity of untreated groundwater in Louisiana: U.S. Geological Survey Scientific Investigations Report 2024–5035, 52 p., https://doi.org/10.3133/sir20245035.","productDescription":"Report: viii, 52 p.; Appendix; 2 Data Releases","numberOfPages":"64","onlineOnly":"Y","ipdsId":"IP-116152","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":497923,"rank":8,"type":{"id":36,"text":"NGMDB Index 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 \"}}]}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/lmg-water/\" href=\"https://www.usgs.gov/centers/lmg-water/\">Lower Mississippi-Gulf Water Science Center</a><br>U.S. Geological Survey<br>640 Grassmere Park, Suite 100<br>Nashville, TN 37211<br></p><p><a id=\"LPlnkOWA15180ebd-b368-51d6-d4d0-3194b6e2a465\" class=\"OWAAutoLink\" title=\"https://pubs.usgs.gov/contact\" href=\"https://pubs.usgs.gov/contact\" data-auth=\"NotApplicable\" data-olk-copy-source=\"MailCompose\" data-mce-href=\"../contact\">Contact Us- USGS Publications Warehouse</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods Used in the Assessment</li><li>Results and Discussion</li><li>Summary and Conclusions</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix 1. Other Indices</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2024-11-06","noUsgsAuthors":false,"plainLanguageSummary":"<p><br data-mce-bogus=\"1\"></p>","publicationDate":"2024-11-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Robinson, Angela L. 0000-0001-5845-4847","orcid":"https://orcid.org/0000-0001-5845-4847","contributorId":206329,"corporation":false,"usgs":true,"family":"Robinson","given":"Angela","email":"","middleInitial":"L.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":917597,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70260668,"text":"70260668 - 2024 - Neogene hydrothermal Fe- and Mn-oxide mineralization of Paleozoic continental rocks, Amerasia Basin, Arctic Ocean","interactions":[],"lastModifiedDate":"2024-11-07T16:21:49.717818","indexId":"70260668","displayToPublicDate":"2024-11-06T09:55:32","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Neogene hydrothermal Fe- and Mn-oxide mineralization of Paleozoic continental rocks, Amerasia Basin, Arctic Ocean","docAbstract":"<p><span>Rocks dredged from water depths of 1,605, 2,500, 3,300, and 3,400&nbsp;m in the Arctic Ocean included Paleozoic continental rocks pervasively mineralized during the Neogene by hydrothermal Fe and Mn oxides. Samples were recovered in three dredge hauls from the Chukchi Borderland and one from Mendeleev Ridge north of Alaska and eastern Siberia, respectively. Many of the rocks were so pervasively altered that the protolith could not be identified, while others had volcanic, plutonic, and metamorphic protoliths. The mineralized rocks were cemented and partly to wholly replaced by the hydrothermal oxides. The Amerasia Basin, where the Chukchi Borderland and Mendeleev Ridge occur, supports a series of faults and fractures that serve as major zones of crustal weakness. We propose that the stratabound hydrothermal deposits formed through the flux of hydrothermal fluids along Paleozoic and Mesozoic faults related to block faulting along a rifted margin during minor episodes of Neogene tectonism and were later exposed at the seafloor through slumping or other gravity processes. Tectonically driven hydrothermal circulation most likely facilitated the pervasive mineralization along fault surfaces via frictional heating, hydrofracturing brecciation, and low- to moderate temperature Fe- and Mn-rich hydrothermal fluids, which mineralized the crushed, altered, and brecciated rocks.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023GC010996","usgsCitation":"Hein, J.R., Mizell, K., and Gartman, A., 2024, Neogene hydrothermal Fe- and Mn-oxide mineralization of Paleozoic continental rocks, Amerasia Basin, Arctic Ocean: Geochemistry, Geophysics, Geosystems, v. 25, no. 11, e2023GC010996, 27 p., https://doi.org/10.1029/2023GC010996.","productDescription":"e2023GC010996, 27 p.","ipdsId":"IP-167891","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":466778,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023gc010996","text":"Publisher Index Page"},{"id":463785,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Amerasia basin, Arctic Ocean","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -150,\n              72\n            ],\n            [\n              -179.9,\n              74.5\n            ],\n            [\n              -179.9,\n              85\n            ],\n            [\n              -137.09374278427933,\n              80.73796302105899\n            ],\n            [\n              -115,\n              73\n            ],\n            [\n              -150,\n              72\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              179.9,\n              85\n            ],\n            [\n              165,\n              85\n            ],\n            [\n              172,\n              74.5\n            ],\n            [\n              179.9,\n              74.5\n            ],\n            [\n              179.9,\n              85\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"25","issue":"11","noUsgsAuthors":false,"publicationDate":"2024-11-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Hein, James R. 0000-0002-5321-899X jhein@usgs.gov","orcid":"https://orcid.org/0000-0002-5321-899X","contributorId":140835,"corporation":false,"usgs":true,"family":"Hein","given":"James","email":"jhein@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":918141,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mizell, Kira 0000-0002-5066-787X kmizell@usgs.gov","orcid":"https://orcid.org/0000-0002-5066-787X","contributorId":4914,"corporation":false,"usgs":true,"family":"Mizell","given":"Kira","email":"kmizell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":918142,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gartman, Amy 0000-0001-9307-3062 agartman@usgs.gov","orcid":"https://orcid.org/0000-0001-9307-3062","contributorId":177057,"corporation":false,"usgs":true,"family":"Gartman","given":"Amy","email":"agartman@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":918143,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70263425,"text":"70263425 - 2024 - Assessing and implementing the concept of Blue Economy in Laurentian Great Lakes fisheries: Lessons from coupled human and natural systems","interactions":[],"lastModifiedDate":"2025-02-11T15:30:07.537954","indexId":"70263425","displayToPublicDate":"2024-11-06T08:22:22","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":865,"text":"Aquatic Ecosystem Health & Management","active":true,"publicationSubtype":{"id":10}},"title":"Assessing and implementing the concept of Blue Economy in Laurentian Great Lakes fisheries: Lessons from coupled human and natural systems","docAbstract":"Inland fisheries often receive little to no attention in global discussions about sustainable development. The consequences of overlooking inland fisheries in sustainability dialogues are increasingly problematic as fisheries stressors (e.g., overharvest, species invasion, climate change, habitat modification) intensify. Elevating the global profile of inland fisheries requires an approach for quantifying and clearly conveying the ecological, economic, and societal values of these systems. One such approach involves the Blue Economy, a multifaceted concept initially used to describe the intersection of marine conservation and sustainable use of marine resources for economic growth. Although conceptually powerful, the Blue Economy has rarely been applied to inland waters and fisheries. To address this knowledge gap, we conceptualized Laurentian Great Lakes fisheries from a Blue Economy perspective. In particular, we evaluated the utility of the coupled human and natural systems (CHANS) framework for characterizing the ecological, economic, and societal values of Laurentian Great Lakes fisheries and associated contributions to the Blue Economy (e.g., human livelihoods, food security, recreation, conservation, economic prosperity). There are numerous opportunities to leverage CHANS methods (e.g., metacoupling, telecoupling) and associated mathematical models to advance fisheries science, inform fisheries management, and ultimately move toward a Blue Economy in the Laurentian Great Lakes. To that end, we demonstrated applications of CHANS methods, discussed strategies for communicating with stakeholders, and provided insights for navigating challenges to developing a Blue Economy in the Laurentian Great Lakes—a model that could be used in the African Great Lakes and other large ecosystems in the world.","language":"English","publisher":"BioOne","doi":"10.14321/aehm.027.02.74","usgsCitation":"Carlson, A.K., Leonard, N., Munawar, M., and Taylor, W., 2024, Assessing and implementing the concept of Blue Economy in Laurentian Great Lakes fisheries: Lessons from coupled human and natural systems: Aquatic Ecosystem Health & Management, v. 27, no. 2, p. 74-84, https://doi.org/10.14321/aehm.027.02.74.","productDescription":"11 p.","startPage":"74","endPage":"84","ipdsId":"IP-154893","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":481930,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Laurentian Great Lakes","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -91.35414421298296,\n              47.69798628255907\n            ],\n            [\n              -92.55498641328694,\n              46.29425302711437\n            ],\n            [\n              -86.95944652656331,\n              46.00505185703939\n            ],\n            [\n              -88.62282303782777,\n              43.92021164632037\n            ],\n            [\n              -87.50058525109819,\n              41.25347232284972\n            ],\n            [\n              -85.72809349640711,\n              42.11694323111757\n            ],\n            [\n              -85.91733849617773,\n              43.493974004776575\n            ],\n            [\n              -84.89672932891068,\n              44.873597615031386\n            ],\n            [\n              -83.29102906108528,\n              43.6549891230233\n            ],\n            [\n              -83.78159647699495,\n              41.31847374004327\n            ],\n            [\n              -79.95408136104199,\n              41.39215071916226\n            ],\n            [\n              -75.87519895574565,\n              43.702579861752696\n            ],\n            [\n              -79.58470723400637,\n              45.3214766230865\n            ],\n            [\n              -84.23758896005683,\n              48.14783853442674\n            ],\n            [\n              -88.84558873081599,\n              49.05585075889549\n            ],\n            [\n              -91.35414421298296,\n              47.69798628255907\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"27","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-04-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Carlson, Andrew Kenneth 0000-0002-6681-0853","orcid":"https://orcid.org/0000-0002-6681-0853","contributorId":340581,"corporation":false,"usgs":true,"family":"Carlson","given":"Andrew","email":"","middleInitial":"Kenneth","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":926955,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leonard, Nancy J.","contributorId":350769,"corporation":false,"usgs":false,"family":"Leonard","given":"Nancy J.","affiliations":[{"id":20304,"text":"Pacific States Marine Fisheries Commission","active":true,"usgs":false}],"preferred":false,"id":926956,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Munawar, Mohiuddin","contributorId":350770,"corporation":false,"usgs":false,"family":"Munawar","given":"Mohiuddin","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":926957,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taylor, William W.","contributorId":350772,"corporation":false,"usgs":false,"family":"Taylor","given":"William W.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":926958,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70261286,"text":"70261286 - 2024 - GNSS reflectometry from low-cost sensors for continuous in situ contemporaneous glacier mass balance and flux divergence","interactions":[],"lastModifiedDate":"2024-12-26T16:59:57.220714","indexId":"70261286","displayToPublicDate":"2024-11-06T08:03:04","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2328,"text":"Journal of Glaciology","active":true,"publicationSubtype":{"id":10}},"title":"GNSS reflectometry from low-cost sensors for continuous in situ contemporaneous glacier mass balance and flux divergence","docAbstract":"<p>Recent advances in remote sensing have produced global glacier surface elevation change data. Parsing these elevation change signals into contributions from the climate (i.e. climatic mass balance) and glacier dynamics (i.e. flux divergence) is critical to enhance our process-based understanding of glacier change. In this study, we evaluate three approaches for direct, continuous measurements of the climatic mass balance, flux divergence, and elevation change at a site on Gulkana Glacier in Alaska using low-cost GNSS sensors, GNSS interferometric reflectometry (GNSS-IR), banded ablation stakes with time-lapse cameras, and combinations thereof. Cumulative climatic mass balance over the season was 4.85 m and the three approaches were within 0.08 m through early July before the snowpack melted, and within 0.28 m through mid-August. The flux divergence increased from 0.52 ± 0.03 cm d<sup>-1</sup> before June 3 to roughly 0.73 cm d<sup>-1</sup> after June 27. We demonstrate a single GNSS system fixed atop an ablation stake can measure contemporaneous climatic mass balance, flux divergence, and elevation change based on the antenna’s position and GNSS-IR techniques. The ability of these systems to measure glacier mass balance and flux divergence offers unique opportunities for year-round observations on mountain glaciers in the future.</p>","language":"English","publisher":"Cambridge University Press","doi":"10.1017/jog.2024.54","usgsCitation":"Wells, A., Rounce, D.R., Sass, L., Florentine, C., Garbo, A., Baker, E., and McNeil, C., 2024, GNSS reflectometry from low-cost sensors for continuous in situ contemporaneous glacier mass balance and flux divergence: Journal of Glaciology, v. 70, e5, 12 p., https://doi.org/10.1017/jog.2024.54.","productDescription":"e5, 12 p.","ipdsId":"IP-164695","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":466780,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/jog.2024.54","text":"Publisher Index Page"},{"id":464746,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Gulkana Glacier","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -145.68362267602475,\n              63.35411541798791\n            ],\n            [\n              -145.68362267602475,\n              63.196253345505795\n            ],\n            [\n              -145.0204214654105,\n              63.196253345505795\n            ],\n            [\n              -145.0204214654105,\n              63.35411541798791\n            ],\n            [\n              -145.68362267602475,\n              63.35411541798791\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"70","noUsgsAuthors":false,"publicationDate":"2024-11-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Wells, Albin","contributorId":346929,"corporation":false,"usgs":false,"family":"Wells","given":"Albin","email":"","affiliations":[{"id":12943,"text":"Carnegie Mellon University","active":true,"usgs":false}],"preferred":false,"id":920224,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rounce, David R.","contributorId":290361,"corporation":false,"usgs":false,"family":"Rounce","given":"David","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":920225,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sass, Louis C. 0000-0003-4677-029X lsass@usgs.gov","orcid":"https://orcid.org/0000-0003-4677-029X","contributorId":3555,"corporation":false,"usgs":true,"family":"Sass","given":"Louis C.","email":"lsass@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":920226,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Florentine, Caitlyn 0000-0002-7028-0963","orcid":"https://orcid.org/0000-0002-7028-0963","contributorId":205964,"corporation":false,"usgs":true,"family":"Florentine","given":"Caitlyn","email":"","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":920227,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Garbo, Adam","contributorId":346930,"corporation":false,"usgs":false,"family":"Garbo","given":"Adam","email":"","affiliations":[{"id":39169,"text":"University of Ottawa","active":true,"usgs":false}],"preferred":false,"id":920228,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Baker, Emily 0000-0002-0938-3496 ehbaker@usgs.gov","orcid":"https://orcid.org/0000-0002-0938-3496","contributorId":200570,"corporation":false,"usgs":true,"family":"Baker","given":"Emily","email":"ehbaker@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":920229,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McNeil, Christopher J. 0000-0003-4170-0428 cmcneil@usgs.gov","orcid":"https://orcid.org/0000-0003-4170-0428","contributorId":5803,"corporation":false,"usgs":true,"family":"McNeil","given":"Christopher J.","email":"cmcneil@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":920230,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70261558,"text":"70261558 - 2024 - Insights on arc magmatic systems drawn from natural melt inclusions and crystallization experiments at P<sub>H2O</sub>=800 MPa under oxidizing conditions","interactions":[],"lastModifiedDate":"2024-12-16T14:12:30.156142","indexId":"70261558","displayToPublicDate":"2024-11-06T06:57:05","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2420,"text":"Journal of Petrology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Insights on arc magmatic systems drawn from natural melt inclusions and crystallization experiments at P<sub>H2O</sub>=800 MPa under oxidizing conditions","title":"Insights on arc magmatic systems drawn from natural melt inclusions and crystallization experiments at P<sub>H2O</sub>=800 MPa under oxidizing conditions","docAbstract":"<p>Whole rock compositions at Buldir Volcano, western Aleutian arc, record a strong, continuous trend of iron depletion with decreasing MgO, classically interpreted as a calc-alkaline liquid line of descent. In contrast, olivine-hosted melt inclusions have higher total iron (FeO<sup>*</sup>) than whole rocks and show little change in FeO* with decreasing MgO. To investigate this discrepancy and determine the conditions required for strong iron depletion, we conducted oxygen fugacity (ƒO<sub>2</sub>) buffered, water-saturated crystallization experiments at 800 MPa and ƒO<sub>2</sub> = QFM + 1.6 ± 0.4 (1σ⁠) (where QFM refers to the quartz-fayalite-magnetite buffer) on a high-Al, basaltic starting material modeled after a Buldir lava. Experimental conditions were informed by olivine-hosted melt inclusions that record minimum entrapment pressures as high as 570 MPa, &gt;6 wt % H2O, and ƒO<sub>2</sub> of QFM + 1.4 (±0.2), making Buldir one of the most oxidized and wettest arc volcanoes documented globally. The experiments produce melts with Si-enrichment and Fe-depletion signatures characteristic of evolved, calc-alkaline magmas at the lowest MgO, although FeO<sup>*</sup> remains roughly constant over most of the experimental temperature range. Experiments saturate CrAl-spinel and olivine at 1160°C, followed by clinopyroxene and Al-spinel at 1085°C, hornblende at 1060°C, and, finally, plagioclase and magnetite between 1040°C and 960°C. Hornblende crystallization, not magnetite, generates the largest increase in SiO2 and largest decrease in FeO<sup>*</sup> in coexisting melts. Compositions of melt inclusions are consistent with experimental melts and reflect crystallization of a basaltic parent magma at high P<sub>H2O</sub>. In contrast, the whole rock compositional trends are influenced by magma mixing and phenocryst redistribution and accumulation. The crystallization experiments and natural liquids (melt inclusions and groundmass glass) from Buldir suggest that for an oxidized, hydrous primary basalt starting composition, significant Fe depletion from the melt will not occur until intermediate to late stages of magma crystallization (&lt; ~4.5 wt % MgO). We conclude that the Buldir whole rock trend cannot be reproduced by crystallization at arc-relevant oxygen fugacities and is not a true liquid line of descent, warranting caution when interpreting volcanic trends globally.</p>","language":"English","publisher":"Oxford University Press","doi":"10.1093/petrology/egae117","usgsCitation":"Andrys, J.L., Cottrell, E., Kelley, K., Waters, L.E., and Coombs, M.L., 2024, Insights on arc magmatic systems drawn from natural melt inclusions and crystallization experiments at P<sub>H2O</sub>=800 MPa under oxidizing conditions: Journal of Petrology, v. 65, no. 12, egae117, 23 p., https://doi.org/10.1093/petrology/egae117.","productDescription":"egae117, 23 p.","ipdsId":"IP-166029","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":465141,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"65","issue":"12","noUsgsAuthors":false,"publicationDate":"2024-11-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Andrys, Janine L.","contributorId":347200,"corporation":false,"usgs":false,"family":"Andrys","given":"Janine","email":"","middleInitial":"L.","affiliations":[{"id":52668,"text":"Boise State","active":true,"usgs":false}],"preferred":false,"id":921044,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cottrell, Elizabeth","contributorId":347203,"corporation":false,"usgs":false,"family":"Cottrell","given":"Elizabeth","affiliations":[{"id":36606,"text":"Smithsonian Institution","active":true,"usgs":false}],"preferred":false,"id":921045,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelley, Katherine A.","contributorId":347206,"corporation":false,"usgs":false,"family":"Kelley","given":"Katherine A.","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":921046,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waters, Laura E.","contributorId":347209,"corporation":false,"usgs":false,"family":"Waters","given":"Laura","email":"","middleInitial":"E.","affiliations":[{"id":34868,"text":"New Mexico Institute of Mining and Technology","active":true,"usgs":false}],"preferred":false,"id":921047,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coombs, Michelle L. 0000-0002-6002-6806 mcoombs@usgs.gov","orcid":"https://orcid.org/0000-0002-6002-6806","contributorId":2809,"corporation":false,"usgs":true,"family":"Coombs","given":"Michelle","email":"mcoombs@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":921048,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70261465,"text":"70261465 - 2024 - Jupyter notebooks for parameter estimation, uncertainty analysis, and optimization with the PEST++","interactions":[],"lastModifiedDate":"2024-12-11T17:14:01.825087","indexId":"70261465","displayToPublicDate":"2024-11-05T10:08:24","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Jupyter notebooks for parameter estimation, uncertainty analysis, and optimization with the PEST++","docAbstract":"<p>No abstract available.&nbsp;</p>","language":"English","publisher":"National Groundwater Association","doi":"10.1111/gwat.13447","usgsCitation":"Ford, C.M., Ha, W.S., Markovich, K.H., and Zwinger, J., 2024, Jupyter notebooks for parameter estimation, uncertainty analysis, and optimization with the PEST++: Groundwater, v. 62, no. 6, p. 825-829, https://doi.org/10.1111/gwat.13447.","productDescription":"5 p.","startPage":"825","endPage":"829","ipdsId":"IP-159081","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":466781,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gwat.13447","text":"Publisher Index Page"},{"id":465026,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-11-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Ford, Chanse M. 0000-0002-7159-5051","orcid":"https://orcid.org/0000-0002-7159-5051","contributorId":347040,"corporation":false,"usgs":true,"family":"Ford","given":"Chanse","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":920648,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ha, Wonsook S. 0000-0002-7252-698X","orcid":"https://orcid.org/0000-0002-7252-698X","contributorId":266139,"corporation":false,"usgs":true,"family":"Ha","given":"Wonsook","email":"","middleInitial":"S.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":920649,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Markovich, Katherine H. 0000-0002-4455-8255","orcid":"https://orcid.org/0000-0002-4455-8255","contributorId":221065,"corporation":false,"usgs":true,"family":"Markovich","given":"Katherine","middleInitial":"H.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":920650,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zwinger, Johanna 0009-0000-7867-2825","orcid":"https://orcid.org/0009-0000-7867-2825","contributorId":347041,"corporation":false,"usgs":false,"family":"Zwinger","given":"Johanna","email":"","affiliations":[{"id":49206,"text":"INTERA Incorporated","active":true,"usgs":false}],"preferred":false,"id":920651,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70260627,"text":"70260627 - 2024 - Trends and environmental impacts of virtual water trade","interactions":[],"lastModifiedDate":"2024-12-10T15:33:04.350122","indexId":"70260627","displayToPublicDate":"2024-11-05T09:58:38","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7460,"text":"Nature Reviews Earth & Environment","active":true,"publicationSubtype":{"id":10}},"title":"Trends and environmental impacts of virtual water trade","docAbstract":"<p><span>Virtual water describes water embedded in the production of goods and offers meaningful insights about the complex interplay between water, trade and sustainability. In this Review, we examine the trends, major players, traded products and key drivers of virtual water trade (VWT). Roughly 20% of water used in global food production is traded virtually rather than domestically consumed. As such, agriculture dominates VWT, with livestock products, wheat, maize, soybean, oil palm, coffee and cocoa contributing over 70% of total VWT. These products are also driving VWT growth, the volume of which has increased 2.9 times from 1986 to 2022. However, the countries leading VWT contributions (with China, the United States, the Netherlands, Germany and India accounting for 34% of the global VWT in 2022) have remained relatively stable over time, albeit with China becoming an increasingly important importer. VWT can mitigate the effects of water scarcity and food insecurity, although there are concerns about the disconnect between consumers and the environmental impacts of their choices, and unsustainable resource exploitation. Indeed, approximately 16% of unsustainable water use and 11% of global groundwater depletion are virtually traded. Future VWT analyses must consider factors such as water renewability, water quality, climate change impacts and socioeconomic implications.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s43017-024-00605-2","usgsCitation":"Mekonnen, M.M., Kebede, M.M., Demeke, B.W., Carr, J., Chapagain, A., Dalin, C., Debaere, P., D’Odorico, P., Marston, L., Ray, C., Rosa, L., and Zhuo, L., 2024, Trends and environmental impacts of virtual water trade: Nature Reviews Earth & Environment, v. 5, p. 890-905, https://doi.org/10.1038/s43017-024-00605-2.","productDescription":"16 p.","startPage":"890","endPage":"905","ipdsId":"IP-160482","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":496765,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hal.science/hal-05368702","text":"External Repository"},{"id":463764,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","noUsgsAuthors":false,"publicationDate":"2024-11-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Mekonnen, Mesfin M.","contributorId":346068,"corporation":false,"usgs":false,"family":"Mekonnen","given":"Mesfin","email":"","middleInitial":"M.","affiliations":[{"id":37195,"text":"The University of Alabama","active":true,"usgs":false}],"preferred":false,"id":917929,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kebede, Mahlet M.","contributorId":346069,"corporation":false,"usgs":false,"family":"Kebede","given":"Mahlet","email":"","middleInitial":"M.","affiliations":[{"id":37195,"text":"The University of Alabama","active":true,"usgs":false}],"preferred":false,"id":917930,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Demeke, Betelhem W.","contributorId":346070,"corporation":false,"usgs":false,"family":"Demeke","given":"Betelhem","email":"","middleInitial":"W.","affiliations":[{"id":37195,"text":"The University of Alabama","active":true,"usgs":false}],"preferred":false,"id":917931,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carr, Joel A. 0000-0002-9164-4156 jcarr@usgs.gov","orcid":"https://orcid.org/0000-0002-9164-4156","contributorId":168645,"corporation":false,"usgs":true,"family":"Carr","given":"Joel A.","email":"jcarr@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":917932,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chapagain, Ashok","contributorId":346073,"corporation":false,"usgs":false,"family":"Chapagain","given":"Ashok","email":"","affiliations":[{"id":28034,"text":"Pacific Institute","active":true,"usgs":false}],"preferred":false,"id":917933,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dalin, Carole","contributorId":215134,"corporation":false,"usgs":false,"family":"Dalin","given":"Carole","email":"","affiliations":[{"id":39184,"text":"Institute for Sustainable Resources, University College, London, UK","active":true,"usgs":false}],"preferred":false,"id":917934,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Debaere, Peter","contributorId":346078,"corporation":false,"usgs":false,"family":"Debaere","given":"Peter","email":"","affiliations":[{"id":25492,"text":"University of Virginia","active":true,"usgs":false}],"preferred":false,"id":917935,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"D’Odorico, Paolo","contributorId":209957,"corporation":false,"usgs":false,"family":"D’Odorico","given":"Paolo","email":"","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":917936,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Marston, Landon 0000-0001-9116-1691","orcid":"https://orcid.org/0000-0001-9116-1691","contributorId":239626,"corporation":false,"usgs":false,"family":"Marston","given":"Landon","email":"","affiliations":[{"id":47941,"text":"Department of Civil Engineering, Kansas State University","active":true,"usgs":false}],"preferred":false,"id":917937,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ray, Chittaranjan","contributorId":194209,"corporation":false,"usgs":false,"family":"Ray","given":"Chittaranjan","email":"","affiliations":[],"preferred":false,"id":917938,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Rosa, Lorenzo","contributorId":209959,"corporation":false,"usgs":false,"family":"Rosa","given":"Lorenzo","email":"","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":917939,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Zhuo, La","contributorId":346083,"corporation":false,"usgs":false,"family":"Zhuo","given":"La","email":"","affiliations":[{"id":82762,"text":"Northwest A&F University, Yangling; Chinese Academy of Sciences & Ministry of Water Resources","active":true,"usgs":false}],"preferred":false,"id":917940,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70268340,"text":"70268340 - 2024 - River suspended-sand flux computation with uncertainty estimation using water samples and high-resolution ADCP measurements","interactions":[],"lastModifiedDate":"2025-06-23T14:40:02.847232","indexId":"70268340","displayToPublicDate":"2024-11-05T09:37:01","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7942,"text":"Earth Surface Dynamics","active":true,"publicationSubtype":{"id":10}},"title":"River suspended-sand flux computation with uncertainty estimation using water samples and high-resolution ADCP measurements","docAbstract":"<p><span>Measuring suspended-sand fluxes in rivers remains a scientific challenge due to their high spatial and temporal variability. To capture the vertical and lateral gradients of concentration in the cross-section, measurements with point samples are performed. However, the uncertainty related to these measurements is rarely evaluated, as few studies of the major sources of error exist. Therefore, the aim of this study is to develop a method to determine the cross-sectional sand flux and estimate its uncertainty. This SDC (for sand discharge computing) method combines suspended-sand concentrations from point samples with ADCP (acoustic Doppler current profiler) high-resolution depth and velocity measurements. The MAP (for multitransect averaged profile) method allows obtaining an average of several ADCP transects on a regular grid, including the unmeasured areas. The suspended-sand concentrations are integrated vertically by fitting a theoretical exponential suspended-sand profile to the data using Bayesian modeling. The lateral integration is based on the water depth as a proxy for the local bed shear stress to evaluate the bed concentration and sediment diffusion along the river cross-section. The estimation of uncertainty combines ISO standards and semi-empirical methods with a Bayesian approach to estimate the uncertainty due to the vertical integration. The new method is applied to data collected in four rivers under various hydro-sedimentary conditions: the Colorado, Rhône, Isère, and Amazon rivers, with computed flux uncertainties ranging between 18 % and 32 %. The relative difference between the suspended-sand flux in 21 cases calculated with the proposed SDC method compared to the International Organization for Standardization (ISO) 4363 standard method ranges between&nbsp;</span><span class=\"inline-formula\">−</span><span>40 % and&nbsp;</span><span class=\"inline-formula\">+</span><span>23 %. This method that comes with a flexible, open-source code is the first to propose an applicable uncertainty estimation that could be adapted to other flux computation methods.</span></p>","language":"English","publisher":"European Geophysical Union","doi":"10.5194/esurf-12-1243-2024","usgsCitation":"Marggraf, J., Dramais, G., Le Coz, J., Calmel, B., Camenen, B., Topping, D.J., Santini, W., Pierrefeu, G., and Lauters, F., 2024, River suspended-sand flux computation with uncertainty estimation using water samples and high-resolution ADCP measurements: Earth Surface Dynamics, v. 12, no. 6, p. 1243-1266, https://doi.org/10.5194/esurf-12-1243-2024.","productDescription":"24 p.","startPage":"1243","endPage":"1266","ipdsId":"IP-123898","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":491495,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/esurf-12-1243-2024","text":"Publisher Index Page"},{"id":491101,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-11-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Marggraf, Jessica","contributorId":350702,"corporation":false,"usgs":false,"family":"Marggraf","given":"Jessica","affiliations":[{"id":83813,"text":"RiverLy, INRAE, 5 Rue de la Doua, Villeurbanne, 69100, France","active":true,"usgs":false}],"preferred":false,"id":940855,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dramais, Guillaume","contributorId":357236,"corporation":false,"usgs":false,"family":"Dramais","given":"Guillaume","affiliations":[{"id":85354,"text":"1RiverLy, INRAE, 5 Rue de la Doua, Villeurbanne, 69100, France","active":true,"usgs":false}],"preferred":false,"id":940856,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Le Coz, Jerome","contributorId":350703,"corporation":false,"usgs":false,"family":"Le Coz","given":"Jerome","affiliations":[{"id":83813,"text":"RiverLy, INRAE, 5 Rue de la Doua, Villeurbanne, 69100, France","active":true,"usgs":false}],"preferred":false,"id":940857,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Calmel, Blaise","contributorId":357237,"corporation":false,"usgs":false,"family":"Calmel","given":"Blaise","affiliations":[{"id":85354,"text":"1RiverLy, INRAE, 5 Rue de la Doua, Villeurbanne, 69100, France","active":true,"usgs":false}],"preferred":false,"id":940858,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Camenen, Benoit","contributorId":238956,"corporation":false,"usgs":false,"family":"Camenen","given":"Benoit","email":"","affiliations":[{"id":47840,"text":"Scientist, IRSTEA, Lyon, France","active":true,"usgs":false}],"preferred":false,"id":940859,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Topping, David J. 0000-0002-2104-4577","orcid":"https://orcid.org/0000-0002-2104-4577","contributorId":215068,"corporation":false,"usgs":true,"family":"Topping","given":"David","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":940860,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Santini, William","contributorId":357238,"corporation":false,"usgs":false,"family":"Santini","given":"William","affiliations":[{"id":85355,"text":"IRD-GET, Institut de Recherche pour le Développement, Laboratoire GET (IRD, CNRS, UPS, CNES), Toulouse, France","active":true,"usgs":false}],"preferred":false,"id":940861,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pierrefeu, Gilles","contributorId":238958,"corporation":false,"usgs":false,"family":"Pierrefeu","given":"Gilles","email":"","affiliations":[{"id":47841,"text":"Senior Engineer, CNR, Lyon, France","active":true,"usgs":false}],"preferred":false,"id":940862,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lauters, François","contributorId":357239,"corporation":false,"usgs":false,"family":"Lauters","given":"François","affiliations":[{"id":85356,"text":"Service Etudes Eau Environnement, EDF, 134 Chemin de l'étang, Saint Martin Le Vinoux, 38950, France","active":true,"usgs":false}],"preferred":false,"id":940863,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70260840,"text":"70260840 - 2024 - Formation of vertical columnar seismic structures and seafloor depressions by groundwater discharge in the drowned Miami Terrace platform and overlying deep-water carbonates, southeastern Florida","interactions":[],"lastModifiedDate":"2024-11-12T15:30:01.02245","indexId":"70260840","displayToPublicDate":"2024-11-05T09:24:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Formation of vertical columnar seismic structures and seafloor depressions by groundwater discharge in the drowned Miami Terrace platform and overlying deep-water carbonates, southeastern Florida","docAbstract":"<div id=\"sp0090\" class=\"u-margin-s-bottom\">The presence of vertical cross-formational fluid migration passageways within sedimentary basins can profoundly impact aquifer and reservoir fluid-flow and their identification is fundamental to informing management of subsurface fluid resources (groundwater, oil, gas). In an onshore and offshore southeastern part of Florida, 2D/3D seismic-reflection and bathymetry data document ∼153 vertical columnar structures composed of reflection disruptions up to 790&nbsp;m in the height and averaging 360&nbsp;m in diameter, and&nbsp;∼219 subcircular to circular seafloor depressions up to 1334&nbsp;m wide. Our study focuses on these features found within the offshore shallow-marine carbonate Miami Terrace platform, which drowned approximately at the end of the middle Miocene, and within overlying Plio-Quaternary deep-water carbonate slope and drift deposits. Most columnar structures are rooted in stratiform aquifers of the Miami Terrace platform and associated with faults or fault intersections produced by Eocene and circa late Miocene tectonics. The columns commonly terminate within the platform or as subcircular depressions along an amalgamated karstic and drowning unconformity at the platform top. The columns typically stretch upwards from a zone of deep karst cavity collapse through the Miami Terrace platform with upward decreasing sag on internal reflections. Following drowning and Plio-Quaternary partial burial of the Miami Terrace platform by deep-water deposits, the subcircular depressions and faults along the platform top were points of origin for a second phase of column growth upward into the deep-water deposits. The continuation of deep platform cavity collapse and column evolution produced pockmarks along paleo-seafloors within the deep-water deposits and at the present-day sea floor. The Plio-Quaternary pockmarks formed at water depths too deep to suggest an origin related to meteoric karst above or near sea level, but rather their formation is suggested to be related to cyclic sea level falls that drove increased groundwater head and density gradients, and seafloor discharge of offshore freshened groundwater sourced from the underlying platform. Plausibly, mixing of freshened groundwater and seawater at the seafloor discharge sites drove dissolution of the host deep-water deposits, which together with erosion by groundwater venting and current scouring formed the pockmarks.</div><div id=\"sp0095\" class=\"u-margin-s-bottom\">Seaward of the Plio-Quaternary seafloor pockmarks, at the late-middle Miocene upper slope of the Miami Terrace platform and along the regional karst/drowning unconformity is a slope-parallel band of ∼189 densely distributed subcircular seafloor depressions with diameters up to 1334&nbsp;m at water depths up to ∼660&nbsp;m. It is plausible that along the upper slope, faults and fractures produced by gravity-driven slope instability and possibly tectonics formed a dense network of fluid passageways that promoted upward artesian freshened groundwater flow to sites of discharge where mixing with seawater generated limestone dissolution and the depressions. But tectonic uplift may have forced emersion and initial meteoric sinkhole formation circa late Miocene with later enhancement by freshened groundwater discharge and bottom current erosion.</div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2024.107413","usgsCitation":"Cunningham, K., Westcott, R.L., Norgard, S., Robinson, E., Dowsett, H., and Robinson, M., 2024, Formation of vertical columnar seismic structures and seafloor depressions by groundwater discharge in the drowned Miami Terrace platform and overlying deep-water carbonates, southeastern Florida: Marine Geology, v. 478, 107413, 33 p., https://doi.org/10.1016/j.margeo.2024.107413.","productDescription":"107413, 33 p.","ipdsId":"IP-091210","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":466782,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.margeo.2024.107413","text":"Publisher Index Page"},{"id":463872,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"southeast Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -79.97410486792742,\n              26.345354444368112\n            ],\n            [\n              -80.67094869488761,\n              26.345354444368112\n            ],\n            [\n              -80.67094869488761,\n              25.308016368648822\n            ],\n            [\n              -79.97410486792742,\n              25.308016368648822\n            ],\n            [\n              -79.97410486792742,\n              26.345354444368112\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"478","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cunningham, Kevin J. 0000-0002-2179-8686","orcid":"https://orcid.org/0000-0002-2179-8686","contributorId":214677,"corporation":false,"usgs":true,"family":"Cunningham","given":"Kevin J.","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":918260,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Westcott, Richard L. 0000-0002-3714-285X","orcid":"https://orcid.org/0000-0002-3714-285X","contributorId":244776,"corporation":false,"usgs":false,"family":"Westcott","given":"Richard","email":"","middleInitial":"L.","affiliations":[{"id":12876,"text":"Cherokee Nation Technology Solutions","active":true,"usgs":false}],"preferred":false,"id":918261,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Norgard, Sean","contributorId":346155,"corporation":false,"usgs":false,"family":"Norgard","given":"Sean","affiliations":[{"id":82785,"text":"Sky Valley Exploration, Contractor to the U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":918262,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robinson, Edward","contributorId":346156,"corporation":false,"usgs":false,"family":"Robinson","given":"Edward","affiliations":[{"id":82786,"text":"The University of the West Indes, Mona","active":true,"usgs":false}],"preferred":false,"id":918263,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dowsett, Harry J. 0000-0003-1983-7524","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":261665,"corporation":false,"usgs":true,"family":"Dowsett","given":"Harry J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":918264,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Robinson, Marci M. 0000-0002-9200-4097","orcid":"https://orcid.org/0000-0002-9200-4097","contributorId":261664,"corporation":false,"usgs":true,"family":"Robinson","given":"Marci M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":918265,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70260957,"text":"70260957 - 2024 - Reducing uncertainty with iterative model updating parses effects of competition and environment on salamander occupancy","interactions":[],"lastModifiedDate":"2024-12-10T15:37:31.896607","indexId":"70260957","displayToPublicDate":"2024-11-05T09:14:46","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"Reducing uncertainty with iterative model updating parses effects of competition and environment on salamander occupancy","docAbstract":"<p>Making timely management decisions is often hindered by uncertainty. Monitoring reduces two key types of uncertainty. First, it serves to reduce structural uncertainty of how the system works and provides support for expectations of how a system works. Second, it serves to reduce parametric uncertainty of the drivers of system dynamics. By combining monitoring data and quantitative models, we can reduce structural and parametric uncertainty. To demonstrate this, we focus on the Shenandoah salamander (<i>Plethodon</i> <i>shenandoah</i>), a United States Federally Endangered Species. Early work suggested that <i>P. shenandoah</i> extinction risk results from competition with a conspecific (<i>Plethodon cinereus</i>). However, more recent work has found equivocal support for this claim, instead suggesting that abiotic factors, such as moisture and temperature, drive <i>P. shenandoah</i> persistence. Using long-term monitoring data, we find that while competition may play a part in <i>P. shenandoah</i> extinction risk, measures of surface moisture are better predictors of occupancy dynamics. Further, we find decreased detection rates of <i>P. shenandoah</i> when <i>P. cinereus</i> is present, suggesting a conflation of detection probability with actual competition, which cautions against making inference from unadjusted observations of occurrence. Using multiple lines of inquiry allows for more robust understanding of system drivers in the face of high uncertainty, increasing opportunities to manage extinction risk.</p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s00442-024-05631-x","usgsCitation":"Werba, J.A., DiRenzo, G.V., Brand, A., and Campbell Grant, E.H., 2024, Reducing uncertainty with iterative model updating parses effects of competition and environment on salamander occupancy: Oecologia, v. 206, p. 305-316, https://doi.org/10.1007/s00442-024-05631-x.","productDescription":"12 p.","startPage":"305","endPage":"316","ipdsId":"IP-148195","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":464231,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Blue Ridge Mountains, Shenandoah National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -78.60935855780521,\n              38.68748637317097\n            ],\n            [\n              -78.60935855780521,\n              38.31093059502825\n            ],\n            [\n              -78.13191468279777,\n              38.31093059502825\n            ],\n            [\n              -78.13191468279777,\n              38.68748637317097\n            ],\n            [\n              -78.60935855780521,\n              38.68748637317097\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"206","noUsgsAuthors":false,"publicationDate":"2024-11-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Werba, Jo Avital 0000-0002-5295-7790","orcid":"https://orcid.org/0000-0002-5295-7790","contributorId":338728,"corporation":false,"usgs":true,"family":"Werba","given":"Jo","email":"","middleInitial":"Avital","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":918691,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DiRenzo, Graziella Vittoria 0000-0001-5264-4762","orcid":"https://orcid.org/0000-0001-5264-4762","contributorId":243404,"corporation":false,"usgs":true,"family":"DiRenzo","given":"Graziella","email":"","middleInitial":"Vittoria","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":918692,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brand, Adrianne 0000-0003-2664-0041","orcid":"https://orcid.org/0000-0003-2664-0041","contributorId":304281,"corporation":false,"usgs":true,"family":"Brand","given":"Adrianne","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":918693,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":918694,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70260480,"text":"ofr20241060 - 2024 - Groundwater quality and groundwater levels in Dougherty County, Georgia, April 2020 through January 2023","interactions":[],"lastModifiedDate":"2025-12-22T21:38:59.48475","indexId":"ofr20241060","displayToPublicDate":"2024-11-05T09:04:47","publicationYear":"2024","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":"2024-1060","displayTitle":"Groundwater Quality and Groundwater Levels in Dougherty County, Georgia, April 2020 Through January 2023","title":"Groundwater quality and groundwater levels in Dougherty County, Georgia, April 2020 through January 2023","docAbstract":"<p>The Upper Floridan aquifer is the uppermost reliable groundwater source in southwest Georgia. The aquifer lies on top of the Claiborne, Clayton, and Cretaceous aquifers, all of which exhibited water-level declines in the 1960s and 1970s. The U.S. Geological Survey has been working cooperatively with Albany Utilities to monitor groundwater quality and availability in these aquifers since 1977.</p><p>Flow direction in the Upper Floridan aquifer is to the south and toward the Flint River. During the past 3 years, water levels varied above and below period-of-record median values. Water levels in the Upper Floridan aquifer were primarily above or at median levels during 2020 and 2021 and at or below median levels during 2022. Water levels in the Claiborne aquifer were above median levels, whereas water levels in the Clayton aquifer were at or below median levels, and in the Cretaceous aquifer system were close to median levels.</p><p>During January&nbsp;2021, eight wells were sampled for major ions, including nitrate plus nitrite as nitrogen (N). Nitrate plus nitrite as N concentrations ranged from 2.3 to 10.5 milligrams per liter (mg/L). During December&nbsp;2021, seven wells were sampled for major ions, including nitrate plus nitrite as N. Nitrate plus nitrite as N concentrations ranged from 3.9 to 9.9 mg/L. During November&nbsp;2022, eight wells were sampled for major ions, including nitrate plus nitrite as N. Nitrate plus nitrite as N concentrations ranged from 3.9 to 10.0 mg/L. Two wells were also sampled for per- and polyfluoroalkyl substances during November&nbsp;2022.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241060","issn":"2331-1258","collaboration":"Prepared in cooperation with Albany Utilities","usgsCitation":"Gordon, D.W., 2024, Groundwater quality and groundwater levels in Dougherty County, Georgia, April 2020 through January 2023: U.S. Geological Survey Open-File Report 2024–1060, 14 p., https://doi.org/10.3133/ofr20241060.","productDescription":"Report: vi, 14 p.; Data Release","numberOfPages":"24","onlineOnly":"Y","ipdsId":"IP-148818","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":497924,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117773.htm","linkFileType":{"id":5,"text":"html"}},{"id":463594,"rank":6,"type":{"id":30,"text":"Data 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<a data-mce-href=\"https://www.usgs.gov/centers/sawsc\" href=\"https://www.usgs.gov/centers/sawsc\">South Atlantic Water Science Center</a><br>U.S. Geological Survey<br>1770 Corporate Drive, suite 500<br>Norcross, GA 30093<br></p><p><a id=\"LPlnkOWA15180ebd-b368-51d6-d4d0-3194b6e2a465\" class=\"OWAAutoLink\" title=\"https://pubs.usgs.gov/contact\" href=\"https://pubs.usgs.gov/contact\" data-auth=\"NotApplicable\" data-olk-copy-source=\"MailCompose\" data-mce-href=\"../contact\">Contact Us- USGS Publications Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Groundwater Levels</li><li>Groundwater Quality</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2024-11-05","noUsgsAuthors":false,"publicationDate":"2024-11-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Gordon, Debbie W. 0000-0002-5195-6657 dwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-5195-6657","contributorId":194128,"corporation":false,"usgs":true,"family":"Gordon","given":"Debbie W.","email":"dwarner@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":917808,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
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