{"pageNumber":"172","pageRowStart":"4275","pageSize":"25","recordCount":184660,"records":[{"id":70263618,"text":"70263618 - 2024 - On the provenance of field reports of the 1886 Charleston, South Carolina, earthquake: A seismo-historical whodunnit","interactions":[],"lastModifiedDate":"2025-02-18T16:29:56.884533","indexId":"70263618","displayToPublicDate":"2024-05-09T10:28:02","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"On the provenance of field reports of the 1886 Charleston, South Carolina, earthquake: A seismo-historical whodunnit","docAbstract":"<p><span>Much of what is known about the effects of the 1886 Charleston, South Carolina, earthquake throughout the epicentral region can be attributed to meticulous field investigations by an individual with training in geology and engineering, Earle Sloan (</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf8\">Clendenin, 1926</a><span>). In a recent study,&nbsp;</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf6\">Bilham and Hough (2024)</a><span>&nbsp;undertook a detailed analysis of the effects of the earthquake on railroads in the Charleston region, drawing heavily from Sloan’s reports. This exercise identified several inconsistencies in Sloan’s field reports, including understandable measurement imprecision, inferred data entry mistakes, and transcription errors. The study also begged the question, where was Sloan at the time of the mainshock and over the following week? And to what extent did he draw from secondhand information in compiling his reports? On this question Sloan’s reports were sometimes enigmatic, lending themselves to misinterpretation in contemporaneous as well as modern interpretations. Beyond the details that were germane for, and briefly summarized by, the studies of&nbsp;</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf5\">Bilham and Hough (2023</a><span>,&nbsp;</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf6\">2024)</a><span>, in this report we don our historical seismologist caps to chronicle Sloan’s activities following the earthquake. We summarize our inferences here for the benefit of future scholars who might attempt to retrace either Sloan’s footsteps or our own. This study also serves to highlight Sloan’s singular contributions to earthquake science, which were never published separately.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220240055","usgsCitation":"Hough, S.E., and Bilham, R., 2024, On the provenance of field reports of the 1886 Charleston, South Carolina, earthquake: A seismo-historical whodunnit: Seismological Research Letters, v. 95, no. 4, p. 2527-2537, https://doi.org/10.1785/0220240055.","productDescription":"11 p.","startPage":"2527","endPage":"2537","ipdsId":"IP-162654","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":482169,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Carolina","city":"Charleston","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -80.13297882942096,\n              33.016985369462645\n            ],\n            [\n              -80.13297882942096,\n              32.63864581856026\n            ],\n            [\n              -79.78369938078559,\n              32.63864581856026\n            ],\n            [\n              -79.78369938078559,\n              33.016985369462645\n            ],\n            [\n              -80.13297882942096,\n              33.016985369462645\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"95","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-05-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Hough, Susan E. 0000-0002-5980-2986","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":263442,"corporation":false,"usgs":true,"family":"Hough","given":"Susan","email":"","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927586,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bilham, Roger","contributorId":225117,"corporation":false,"usgs":false,"family":"Bilham","given":"Roger","affiliations":[{"id":13693,"text":"University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":927587,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70254655,"text":"70254655 - 2024 - Homogenization of soil seed bank communities by fire and invasive species in the Mojave Desert","interactions":[],"lastModifiedDate":"2024-06-06T12:05:34.025548","indexId":"70254655","displayToPublicDate":"2024-05-09T07:04:20","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Homogenization of soil seed bank communities by fire and invasive species in the Mojave Desert","docAbstract":"<div class=\"JournalAbstract\"><p>Soil seed banks help maintain species diversity through temporal storage effects and function as germination pools that can optimize fitness across varying environmental conditions. These characteristics promote the persistence of native plant communities, yet disturbances such as fire and associated invasions by non-native species can disrupt these reserves, fundamentally altering successional trajectories. This may be particularly true in deserts, where native plant communities are less adapted to fire. While studies of fire effects on desert plant communities are not uncommon, information regarding the short- and long-term effects of fire on seed banks is less available. To better understand the influence of fire and invasive species on desert seed banks, we investigated soil seed bank biodiversity from 30 wildfires that burned between 1972 and 2010 across the Mojave Desert ecoregion of North America. We assessed how characteristics of fire regimes (frequency, time since fire, and burn severity) interacted with climate and invasive plants on measures of α-, β-, and γ-diversities. Because β-diversity is a direct measure of community variability and reveals important information about biodiversity loss, we further examined the nestedness and turnover components of β-diversity. Mean α- and γ-diversities were generally higher for burned locations than in unburned reference sites, however individual fire variables had little influence on patterns of seed bank diversity. Burned area seed banks tended to be dominated by non-native invasive species, primarily two grasses, (<i>Bromus rubens</i>,<span>&nbsp;</span><i>Bromus tectorum</i>), as well as an invasive forb (<i>Erodium cicutarium</i>). The most striking pattern we observed was a collective sharp decline in α-, β-, and γ-diversities with increased invasive species dominance, indicating the homogenization of seed bank communities with the colonization of invasive species after fire. Evidence of homogenization was further supported by reduced turnover and increased nestedness in burn areas compared to reference areas indicating potential biodiversity loss. Our findings highlight how biological processes such as plant invasions can combine with disturbance from fire to alter patterns of seed bank composition and diversity in desert ecosystems.</p></div>","language":"English","publisher":"Frontiers","doi":"10.3389/fevo.2024.1271824","usgsCitation":"Lee, S.R., Klinger, R.C., Brooks, M.L., and Ferrenberg, S., 2024, Homogenization of soil seed bank communities by fire and invasive species in the Mojave Desert: Frontiers in Ecology and Evolution, v. 12, 1271824, 13 p., https://doi.org/10.3389/fevo.2024.1271824.","productDescription":"1271824, 13 p.","ipdsId":"IP-156810","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":439636,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2024.1271824","text":"Publisher Index Page"},{"id":429563,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","noUsgsAuthors":false,"publicationDate":"2024-05-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Lee, Steven R. 0000-0002-4581-3684 srlee@usgs.gov","orcid":"https://orcid.org/0000-0002-4581-3684","contributorId":5630,"corporation":false,"usgs":true,"family":"Lee","given":"Steven","email":"srlee@usgs.gov","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":902161,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Klinger, Robert C. 0000-0003-3193-3199 rcklinger@usgs.gov","orcid":"https://orcid.org/0000-0003-3193-3199","contributorId":5395,"corporation":false,"usgs":true,"family":"Klinger","given":"Robert","email":"rcklinger@usgs.gov","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":902162,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brooks, Matthew L. 0000-0002-3518-6787 mlbrooks@usgs.gov","orcid":"https://orcid.org/0000-0002-3518-6787","contributorId":393,"corporation":false,"usgs":true,"family":"Brooks","given":"Matthew","email":"mlbrooks@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":902163,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ferrenberg, Scott","contributorId":217143,"corporation":false,"usgs":false,"family":"Ferrenberg","given":"Scott","affiliations":[{"id":39569,"text":"Department of Biology, New Mexico State University, Las Cruces, NM 88001, USA","active":true,"usgs":false}],"preferred":false,"id":902164,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70259653,"text":"70259653 - 2024 - Fairweather transform boundary Oligocene to present orogenesis: Fairweather Range vertical extrusion and rotation of the Yakutat microplate at ca. 3 Ma","interactions":[],"lastModifiedDate":"2024-10-18T12:05:49.797106","indexId":"70259653","displayToPublicDate":"2024-05-09T07:01:57","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3525,"text":"Tectonophysics","active":true,"publicationSubtype":{"id":10}},"title":"Fairweather transform boundary Oligocene to present orogenesis: Fairweather Range vertical extrusion and rotation of the Yakutat microplate at ca. 3 Ma","docAbstract":"<div id=\"preview-section-abstract\"><div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><div id=\"sp0070\" class=\"u-margin-s-bottom\"><span>Oblique-slip along transform fault boundaries is often partitioned between a strike-slip system and&nbsp;thrust faults&nbsp;that accommodate contraction. However, topography along the Yakutat-North American transform (Fairweather fault), is asymmetric with low-terrain above active thrusts on the western, Yakutat side of the transform and high topography on the continental side with peaks &gt;4500&nbsp;m (Mount Fairweather: 4671&nbsp;m) to the west of the Border Ranges fault, limited recorded earthquakes &gt;M4, and no apparent reverse faults to generate the highest terrain. In this study we compile, for the first time, published U-Pb&nbsp;zircon,&nbsp;</span><sup>40</sup>Ar/<sup>39</sup><span>Ar and K-Ar (hornblende,&nbsp;muscovite, and biotite) and U-Th/He and fission-track (zircon and apatite) bedrock ages (109) from 75 samples to investigate the exhumation history of the Fairweather Range region, complemented by a published detrital sample (ZFT and AFT) and 13 new&nbsp;</span><sup>40</sup>Ar/<sup>39</sup><span>Ar (hornblende,&nbsp;biotite, and K-feldspar) ages on 9 bedrock samples from both sides of the Fairweather fault. Additionally, we examined published&nbsp;seismicity&nbsp;and&nbsp;geodetic data&nbsp;of the Fairweather region and assessed if plate paleo-vectors correlate with the cooling history of the Fairweather Range. Cooling age, seismic, and block-motion patterns indicate the Fairweather Range has been vertically extruded between the Fairweather and the Border Ranges faults as a coherent block since ca. 25&nbsp;Ma. The pre-6&nbsp;Ma&nbsp;Pacific plate&nbsp;motion (N30°W) aligns with the N33°W strike of the Fairweather Fault whereas a hypothetical pre-6&nbsp;Ma Yakutat&nbsp;microplate&nbsp;paleo-vector of (N39°W) does not: indicating a post-6&nbsp;Ma timing for Yakutat&nbsp;microplate&nbsp;counter-clockwise rotation (9°). We infer that rotation and impingement of the Yakutat microplate along the Fairweather fault at ca. 3&nbsp;Ma led to the development of the Fairweather restraining bend and increased cooling rates. The resultant thickened Fairweather welt and the ∼30&nbsp;km thick southeast end of the Yakutat microplate compounded double-indenter tectonics into Alaska's southeast convergent corner</span></div></div></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.tecto.2024.230337","usgsCitation":"Benowitz, J., Lease, R.O., Haeussler, P., Pavlis, T., and Mann, M., 2024, Fairweather transform boundary Oligocene to present orogenesis: Fairweather Range vertical extrusion and rotation of the Yakutat microplate at ca. 3 Ma: Tectonophysics, v. 880, 230337, https://doi.org/10.1016/j.tecto.2024.230337.","productDescription":"230337","ipdsId":"IP-164656","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":462994,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"880","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Benowitz, Jeff","contributorId":345266,"corporation":false,"usgs":false,"family":"Benowitz","given":"Jeff","affiliations":[{"id":51089,"text":"Geosep Services","active":true,"usgs":false}],"preferred":false,"id":916155,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lease, Richard O. 0000-0003-2582-8966 rlease@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-8966","contributorId":5098,"corporation":false,"usgs":true,"family":"Lease","given":"Richard","email":"rlease@usgs.gov","middleInitial":"O.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":916156,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haeussler, Peter J. 0000-0002-1503-6247","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":219956,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter J.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":916157,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pavlis, Terry","contributorId":345267,"corporation":false,"usgs":false,"family":"Pavlis","given":"Terry","affiliations":[{"id":37164,"text":"University of Texas, El Paso","active":true,"usgs":false}],"preferred":false,"id":916158,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mann, Michael","contributorId":345268,"corporation":false,"usgs":false,"family":"Mann","given":"Michael","affiliations":[{"id":16929,"text":"Brown University","active":true,"usgs":false}],"preferred":false,"id":916159,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70254156,"text":"70254156 - 2024 - How low is too low? Partnering with stakeholders and managers to define ecologically based low-flow thresholds in a perennial temperate river","interactions":[],"lastModifiedDate":"2024-09-11T16:15:10.068724","indexId":"70254156","displayToPublicDate":"2024-05-09T06:55:43","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"How low is too low? Partnering with stakeholders and managers to define ecologically based low-flow thresholds in a perennial temperate river","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Managing aquatic ecosystems for people and nature can be improved by collaboration among scientists, managers, decision-makers, and other stakeholders. Many collaborative and interdisciplinary approaches have been developed to address the management of freshwater ecosystems; however, there are still barriers to overcome. We worked as part of a regional stakeholder group comprising municipal water utility operators, conservation organizations, academic partners, and other stakeholders to understand the effects of low-flow and drought on ecological functions of the upper Flint River, Georgia (USA), a free-flowing river important for municipal water supply, recreation, and native biota. We used published literature and locally targeted studies to identify quantitative flow targets that could be used to inform water management and drought planning. Drawing from principles of Translational Ecology, we relied on an iterative process to develop information needs for the group and maintained communication and engagement throughout data collection, analysis, and synthesis. We identified three quantitative flow benchmarks to evaluate the ecological impacts of drought in the river. The results were valuable to both the water utilities represented in the working group and State regional water planning, which is used to guide water management strategies and permitting for the basin. We identified principles that were important for the successful engagement in the working group and helped to overcome the challenge of working across sectors and without direct authority guiding the implementation of our work. Interdisciplinary work and creative solutions are crucial to plan for and adapt to greater pressure on our water resources.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/rra.4301","usgsCitation":"Rack, L., Freeman, M., Emanuel, B.N., Craig, L.S., Golladay, S.W., Yang, C., and Wenger, S., 2024, How low is too low? Partnering with stakeholders and managers to define ecologically based low-flow thresholds in a perennial temperate river: River Research and Applications, v. 40, no. 7, p. 1393-1416, https://doi.org/10.1002/rra.4301.","productDescription":"24 p.","startPage":"1393","endPage":"1416","ipdsId":"IP-162353","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":439639,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.4301","text":"Publisher Index Page"},{"id":428603,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"7","noUsgsAuthors":false,"publicationDate":"2024-05-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Rack, Laura","contributorId":273255,"corporation":false,"usgs":false,"family":"Rack","given":"Laura","email":"","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":900469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Freeman, Mary 0000-0001-7615-6923 mcfreeman@usgs.gov","orcid":"https://orcid.org/0000-0001-7615-6923","contributorId":3528,"corporation":false,"usgs":true,"family":"Freeman","given":"Mary","email":"mcfreeman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":900470,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Emanuel, Ben N.","contributorId":336600,"corporation":false,"usgs":false,"family":"Emanuel","given":"Ben","email":"","middleInitial":"N.","affiliations":[{"id":27270,"text":"American Rivers","active":true,"usgs":false}],"preferred":false,"id":900471,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Craig, Laura S.","contributorId":195611,"corporation":false,"usgs":false,"family":"Craig","given":"Laura","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":900472,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Golladay, Stephen W.","contributorId":223819,"corporation":false,"usgs":false,"family":"Golladay","given":"Stephen","email":"","middleInitial":"W.","affiliations":[{"id":37541,"text":"Joseph W. Jones Ecological Research Center","active":true,"usgs":false}],"preferred":false,"id":900473,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yang, Carol","contributorId":236858,"corporation":false,"usgs":false,"family":"Yang","given":"Carol","email":"","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":900474,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wenger, Seth J.","contributorId":177838,"corporation":false,"usgs":false,"family":"Wenger","given":"Seth J.","affiliations":[],"preferred":false,"id":900475,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70254154,"text":"70254154 - 2024 - Automated Cropland Fallow Algorithm (ACFA) for the Northern Great Plains of USA","interactions":[],"lastModifiedDate":"2024-05-10T11:49:05.010543","indexId":"70254154","displayToPublicDate":"2024-05-09T06:46:26","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2035,"text":"International Journal of Digital Earth","active":true,"publicationSubtype":{"id":10}},"title":"Automated Cropland Fallow Algorithm (ACFA) for the Northern Great Plains of USA","docAbstract":"<div class=\"hlFld-Abstract\"><p class=\"last\">Cropland fallowing is choosing not to plant a crop during a season when a crop is normally planted. It is an important component of many crop rotations and can improve soil moisture and health. Knowing which fields are fallow is critical to assess crop productivity and crop water productivity, needed for food security assessments. The annual spatial extent of cropland fallows is poorly understood within the United States (U.S.). The U.S. Department of Agriculture Cropland Data Layer does provide cropland fallow areas; however, at a significantly lower confidence than their cropland classes. This study developed a methodology to map cropland fallows within the Northern Great Plains region of the U.S. using an easily implementable decision tree algorithm leveraging training and validation data from wet (2019), normal (2015), and dry (2017) precipitation years to account for climatic variability. The decision trees automated cropland fallow algorithm (ACFA) was coded on a cloud platform utilizing remotely sensed, time-series data from the years 2010–2019 to separate cropland fallows from other land cover/land use classes. Overall accuracies varied between 96%-98%. Producer’s and user’s accuracies of cropland fallow class varied between 70-87%.</p></div>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/17538947.2024.2337221","usgsCitation":"Oliphant, A., Thenkabail, P., Pardhasaradhi Teluguntla, Aneece, I., Foley, D., and McCormick, R., 2024, Automated Cropland Fallow Algorithm (ACFA) for the Northern Great Plains of USA: International Journal of Digital Earth, v. 17, no. 1, 2337221, 23 p., https://doi.org/10.1080/17538947.2024.2337221.","productDescription":"2337221, 23 p.","ipdsId":"IP-147509","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":439642,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/17538947.2024.2337221","text":"Publisher Index Page"},{"id":434965,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XIXWP2","text":"USGS data release","linkHelpText":"Data Supporting Automated Cropland Fallow Algorithm (ACFA) for the Northern Great Plains of USA"},{"id":428601,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -112.76738063955206,\n              49.02972151505887\n            ],\n            [\n              -112.76738063955206,\n              40.40403466978378\n            ],\n            [\n              -95.49687282705194,\n              40.40403466978378\n            ],\n            [\n              -95.49687282705194,\n              49.02972151505887\n            ],\n            [\n              -112.76738063955206,\n              49.02972151505887\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"17","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-05-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Oliphant, Adam 0000-0001-8622-7932 aoliphant@usgs.gov","orcid":"https://orcid.org/0000-0001-8622-7932","contributorId":192325,"corporation":false,"usgs":true,"family":"Oliphant","given":"Adam","email":"aoliphant@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":900457,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thenkabail, Prasad 0000-0002-2182-8822","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":220239,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":900458,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pardhasaradhi Teluguntla 0000-0001-8060-9841","orcid":"https://orcid.org/0000-0001-8060-9841","contributorId":214457,"corporation":false,"usgs":false,"family":"Pardhasaradhi Teluguntla","affiliations":[{"id":39046,"text":"Bay Area Environmental Research Institute at USGS","active":true,"usgs":false}],"preferred":false,"id":900459,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aneece, Itiya 0000-0002-1201-5459","orcid":"https://orcid.org/0000-0002-1201-5459","contributorId":211471,"corporation":false,"usgs":true,"family":"Aneece","given":"Itiya","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":900460,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Foley, Daniel 0000-0002-2051-6325","orcid":"https://orcid.org/0000-0002-2051-6325","contributorId":223534,"corporation":false,"usgs":true,"family":"Foley","given":"Daniel","email":"","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":900461,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McCormick, Richard L. 0009-0002-8208-2136","orcid":"https://orcid.org/0009-0002-8208-2136","contributorId":336594,"corporation":false,"usgs":false,"family":"McCormick","given":"Richard L.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":900462,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70254194,"text":"70254194 - 2024 - Dryland soil recovery after disturbance across soil and climate gradients of the Colorado Plateau","interactions":[],"lastModifiedDate":"2024-05-13T11:34:55.115915","indexId":"70254194","displayToPublicDate":"2024-05-09T06:27:08","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Dryland soil recovery after disturbance across soil and climate gradients of the Colorado Plateau","docAbstract":"<div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0030\">Drylands impacted by energy development often require costly reclamation activities to reconstruct damaged soils and vegetation, yet little is known about the effectiveness of reclamation practices in promoting recovery of soil quality due to a lack of long-term and cross-site studies. Here, we examined paired on-pad and adjacent undisturbed off-pad soil properties over a 22-year chronosequence of 91 reclaimed oil or gas well pads across soil and climate gradients of the Colorado Plateau in the southwestern United States. Our goals were to estimate the time required for soil properties to reach undisturbed conditions, examine the multivariate nature of soil quality following reclamation, and identify environmental factors that affect reclamation outcomes. Soil samples, collected in 2020 and 2021, were analyzed for biogeochemical pools (total nitrogen, and total organic and inorganic carbon), chemical characteristics (salinity, sodicity, pH), and texture. Predicted time to recovery across all sites was 29&nbsp;years for biogeochemical soil properties, 31&nbsp;years for soil chemical properties, and 6&nbsp;years for soil texture. Ordination of soil properties revealed differences between on- and off-pad soils, while site aridity explained variability in on-pad recovery. The predicted time to total soil recovery (distance between on- and off-pad in ordination space) was 96&nbsp;years, which was longer than any individual soil property. No site reached total recovery, indicating that individual soil properties alone may not fully indicate recovery in soil quality as soil recovery does not equal the sum of its parts. Site aridity was the largest predictor of reclamation outcomes, but the effects differed depending on soil type. Taken together, results suggest the recovery of soil quality - which reflects soil fertility, carbon sequestration potential, and other ecosystem functions - was influenced primarily by site setting, with soil type and aridity major mediators of on-pad carbon, salinity, and total soil recovery following reclamation.</p></div></div><div id=\"ab0010\" class=\"abstract graphical\" lang=\"en\"><br></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2024.172976","usgsCitation":"Eckhoff, K.D., Reed, S., Bradford, J., Daly, N.C., Griffen, K., Reibold, R.H., Lupardus, R., Munson, S.M., Sengsirirak, A., Villarreal, M.L., and Duniway, M.C., 2024, Dryland soil recovery after disturbance across soil and climate gradients of the Colorado Plateau: Science of the Total Environment, v. 932, 172976, 11 p., https://doi.org/10.1016/j.scitotenv.2024.172976.","productDescription":"172976, 11 p.","ipdsId":"IP-162907","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":439645,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2024.172976","text":"Publisher Index Page"},{"id":434966,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9V8KGIS","text":"USGS data release","linkHelpText":"Vegetation and soil data describing oil and gas well pad reclamation and surrounding reference areas in the Southwestern United States"},{"id":428627,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Utah","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -110.85475217547045,\n              41.12358949173867\n            ],\n            [\n              -110.85475217547045,\n              39.172739911311396\n            ],\n            [\n              -107.19847047761372,\n              39.172739911311396\n            ],\n            [\n              -107.19847047761372,\n              41.12358949173867\n            ],\n            [\n              -110.85475217547045,\n              41.12358949173867\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"932","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Eckhoff, Kathryn Delores 0000-0002-4659-5703","orcid":"https://orcid.org/0000-0002-4659-5703","contributorId":336624,"corporation":false,"usgs":true,"family":"Eckhoff","given":"Kathryn","email":"","middleInitial":"Delores","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":900559,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reed, Sasha C. 0000-0002-8597-8619","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":205372,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":900560,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradford, John B. 0000-0001-9257-6303","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":219257,"corporation":false,"usgs":true,"family":"Bradford","given":"John B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":900561,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Daly, Nikita C. 0000-0001-6320-6936","orcid":"https://orcid.org/0000-0001-6320-6936","contributorId":336627,"corporation":false,"usgs":false,"family":"Daly","given":"Nikita","email":"","middleInitial":"C.","affiliations":[{"id":80808,"text":"formerly: USGS Southwest Biological Science Center, Moab, Utah","active":true,"usgs":false}],"preferred":false,"id":900562,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Griffen, Keven","contributorId":328845,"corporation":false,"usgs":false,"family":"Griffen","given":"Keven","email":"","affiliations":[{"id":78504,"text":"Northern Arizona University, Center for Adaptable Western Landscapes, Flagstaff, AZ","active":true,"usgs":false}],"preferred":false,"id":900563,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reibold, Robin H. 0000-0002-3323-487X","orcid":"https://orcid.org/0000-0002-3323-487X","contributorId":207499,"corporation":false,"usgs":true,"family":"Reibold","given":"Robin","email":"","middleInitial":"H.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":900564,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lupardus, Randi","contributorId":336628,"corporation":false,"usgs":false,"family":"Lupardus","given":"Randi","affiliations":[{"id":80811,"text":"Bureau of Land Management, Tres Rios Field Office, Durango, CO, United States","active":true,"usgs":false}],"preferred":false,"id":900565,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":900566,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sengsirirak, Aarin 0000-0002-7422-5785","orcid":"https://orcid.org/0000-0002-7422-5785","contributorId":336629,"corporation":false,"usgs":false,"family":"Sengsirirak","given":"Aarin","affiliations":[{"id":80808,"text":"formerly: USGS Southwest Biological Science Center, Moab, Utah","active":true,"usgs":false}],"preferred":false,"id":900567,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Villarreal, Miguel L. 0000-0003-0720-1422 mvillarreal@usgs.gov","orcid":"https://orcid.org/0000-0003-0720-1422","contributorId":1424,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel","email":"mvillarreal@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":900568,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":900569,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70254318,"text":"70254318 - 2024 - Influence of four veterinary antibiotics on constructed treatment wetland nitrogen transformation","interactions":[],"lastModifiedDate":"2024-05-17T13:46:31.534767","indexId":"70254318","displayToPublicDate":"2024-05-08T08:43:33","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7597,"text":"Toxics","active":true,"publicationSubtype":{"id":10}},"title":"Influence of four veterinary antibiotics on constructed treatment wetland nitrogen transformation","docAbstract":"<p><span>The use of wetlands as a treatment approach for nitrogen in runoff is a common practice in agroecosystems. However, nitrate is not the sole constituent present in agricultural runoff and other biologically active contaminants have the potential to affect nitrate removal efficiency. In this study, the impacts of the combined effects of four common veterinary antibiotics (chlortetracycline, sulfamethazine, lincomycin, monensin) on nitrate-N treatment efficiency in saturated sediments and wetlands were evaluated in a coupled microcosm/mesocosm scale experiment. Veterinary antibiotics were hypothesized to significantly impact nitrogen speciation (e.g., nitrate and ammonium) and nitrogen uptake and transformation processes (e.g., plant uptake and denitrification) within the wetland ecosystems. To test this hypothesis, the coupled study had three objectives: 1. assess veterinary antibiotic impact on nitrogen cycle processes in wetland sediments using microcosm incubations, 2. measure nitrate-N reduction in water of floating treatment wetland systems over time following the introduction of veterinary antibiotic residues, and 3. identify the fate of veterinary antibiotics in floating treatment wetlands using mesocosms. Microcosms containing added mixtures of the veterinary antibiotics had little to no effect at lower concentrations but stimulated denitrification potential rates at higher concentrations. Based on observed changes in the nitrogen loss in the microcosm experiments, floating treatment wetland mesocosms were enriched with 1000 μg L</span><sup>−1</sup><span>&nbsp;of the antibiotic mixture. Rates of nitrate-N loss observed in mesocosms with the veterinary antibiotic enrichment were consistent with the microcosm experiments in that denitrification was not inhibited, even at the high dosage. In the mesocosm experiments, average nitrate-N removal rates were not found to be impacted by the veterinary antibiotics. Further, veterinary antibiotics were primarily found in the roots of the floating treatment wetland biomass, accumulating approximately 190 mg m</span><sup>−2</sup><span>&nbsp;of the antibiotic mixture. These findings provide new insight into the impact that veterinary antibiotic mixtures may have on nutrient management strategies for large-scale agricultural operations and the potential for veterinary antibiotic removal in these wetlands.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/toxics12050346","usgsCitation":"Russell, M.V., Messer, T.L., Repert, D.A., Smith, R.L., Bartelt-Hunt, S., Snow, D.D., and Reed, A., 2024, Influence of four veterinary antibiotics on constructed treatment wetland nitrogen transformation: Toxics, v. 12, no. 5, 346, 26 p., https://doi.org/10.3390/toxics12050346.","productDescription":"346, 26 p.","ipdsId":"IP-163926","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":439646,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/toxics12050346","text":"Publisher Index Page"},{"id":428796,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-05-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Russell, Matthew V. 0000-0001-9287-1409","orcid":"https://orcid.org/0000-0001-9287-1409","contributorId":336767,"corporation":false,"usgs":false,"family":"Russell","given":"Matthew","email":"","middleInitial":"V.","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":900972,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Messer, Tiffany L.","contributorId":194057,"corporation":false,"usgs":false,"family":"Messer","given":"Tiffany","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":900973,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Repert, Deborah A. 0000-0001-7284-1456 darepert@usgs.gov","orcid":"https://orcid.org/0000-0001-7284-1456","contributorId":2578,"corporation":false,"usgs":true,"family":"Repert","given":"Deborah","email":"darepert@usgs.gov","middleInitial":"A.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":900974,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Richard L. 0000-0002-3829-0125 rlsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-3829-0125","contributorId":1592,"corporation":false,"usgs":true,"family":"Smith","given":"Richard","email":"rlsmith@usgs.gov","middleInitial":"L.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true}],"preferred":true,"id":900975,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bartelt-Hunt, Shannon","contributorId":189223,"corporation":false,"usgs":false,"family":"Bartelt-Hunt","given":"Shannon","email":"","affiliations":[],"preferred":false,"id":900976,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Snow, Daniel D.","contributorId":204934,"corporation":false,"usgs":false,"family":"Snow","given":"Daniel","email":"","middleInitial":"D.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":900977,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reed, Ariel 0000-0002-0792-5204","orcid":"https://orcid.org/0000-0002-0792-5204","contributorId":298788,"corporation":false,"usgs":false,"family":"Reed","given":"Ariel","affiliations":[],"preferred":false,"id":900978,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70258420,"text":"70258420 - 2024 - Potential climate and human water-use effects on water-quality trends in a semiarid, western U.S. watershed: Fountain Creek, Colorado, USA","interactions":[],"lastModifiedDate":"2026-02-10T18:05:06.586732","indexId":"70258420","displayToPublicDate":"2024-05-08T07:18:46","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Potential climate and human water-use effects on water-quality trends in a semiarid, western U.S. watershed: Fountain Creek, Colorado, USA","docAbstract":"<div class=\"html-p\">Nutrients, total dissolved solids (TDS), and trace elements affect the suitability of water for human and natural needs. Here, trends in such water-quality constituents are analyzed for 1999–2022 for eight nested monitoring sites in the 24,000 km<sup>2</sup><span>&nbsp;</span>Fountain Creek watershed in Colorado, USA, by using the weighted regressions on time, discharge, and season (WRTDS) methodology. Fountain Creek shares characteristics with other western U.S. watersheds: (1) an expanding but more water-efficient population, (2) a heavy reliance on imported water, (3) a semiarid climate trending towards warmer and drier conditions, and (4) shifts of water from agricultural to municipal uses. The WRTDS analysis found both upward and downward trends in the concentrations of nutrients that reflected possible shifts in effluent management, instream uptake, and water conservation by a watershed population that grew by about 40%. Selenium, other trace elements, and TDS can pose water-quality challenges downstream and their concentrations were found to have a downwards trend. Those trends could be driven by either a warming and drying of the local climate or decreased agricultural irrigation, as both would reduce recharge and subsequent mobilization from natural geologic sources via groundwater discharge. The patterns illustrate how changes in climate and water use may have affected water quality in Fountain Creek and demonstrate the patterns to look for in other western watersheds.</div><div id=\"html-keywords\"><br></div>","language":"English","publisher":"MDPI","doi":"10.3390/w16101343","usgsCitation":"Bern, C.R., Ruckhaus, M.H., and Hennessy, E.K., 2024, Potential climate and human water-use effects on water-quality trends in a semiarid, western U.S. watershed: Fountain Creek, Colorado, USA: Water, v. 16, no. 10, 1343, 27 p., https://doi.org/10.3390/w16101343.","productDescription":"1343, 27 p.","ipdsId":"IP-153063","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":439650,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w16101343","text":"Publisher Index Page"},{"id":434824,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Fountain Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -105.20018695235316,\n              39.19968615620442\n            ],\n            [\n              -105.20018695235316,\n              38.2307052206809\n            ],\n            [\n              -104.38745484344234,\n              38.2307052206809\n            ],\n            [\n              -104.38745484344234,\n              39.19968615620442\n            ],\n            [\n              -105.20018695235316,\n              39.19968615620442\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"16","issue":"10","noUsgsAuthors":false,"publicationDate":"2024-05-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Bern, Carleton R. 0000-0002-8980-1781 cbern@usgs.gov","orcid":"https://orcid.org/0000-0002-8980-1781","contributorId":201152,"corporation":false,"usgs":true,"family":"Bern","given":"Carleton","email":"cbern@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":913248,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruckhaus, Manya Helene 0009-0006-3111-1127","orcid":"https://orcid.org/0009-0006-3111-1127","contributorId":344234,"corporation":false,"usgs":true,"family":"Ruckhaus","given":"Manya","email":"","middleInitial":"Helene","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":913249,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hennessy, Erin K. 0000-0003-3436-0699","orcid":"https://orcid.org/0000-0003-3436-0699","contributorId":300634,"corporation":false,"usgs":true,"family":"Hennessy","given":"Erin","email":"","middleInitial":"K.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":913250,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70254218,"text":"70254218 - 2024 - Ion exchange processes for CO2 mineralization using industrial waste streams: Pilot plant demonstration and life cycle assessment","interactions":[],"lastModifiedDate":"2024-05-14T11:52:36.169487","indexId":"70254218","displayToPublicDate":"2024-05-08T06:50:52","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17778,"text":"Chemistry Select","active":true,"publicationSubtype":{"id":10}},"title":"Ion exchange processes for CO2 mineralization using industrial waste streams: Pilot plant demonstration and life cycle assessment","docAbstract":"<div class=\"abstract-group \"><div class=\"article-section__content en main\"><p>An attractive technique for removing CO<sub>2</sub><span>&nbsp;</span>from the environment is sequestration within stable carbonate solids (e. g., calcite). However, continuous addition of alkalinity is required to achieve favorable conditions for carbonate precipitation (pH&gt;8) from aqueous streams containing dissolved CO<sub>2</sub><span>&nbsp;</span>(pH&lt;4.5) and Ca<sup>2+</sup><span>&nbsp;</span>ions. In this study, a pH-swing process using ion exchange was demonstrated to process 300 L of produced water brine per day for CO<sub>2</sub><span>&nbsp;</span>mineralization. Proton titration capacities were quantified for aqueous streams in equilibrium with gas streams at various concentrations of CO<sub>2</sub><span>&nbsp;</span>(pCO<sub>2</sub>=0.03–0.20 atm) and at various flow rates (0.5–2.0 L min<sup>−1</sup>). Energy intensities for the process were determined to be between 30 and 65 kWh per tonne of CO<sub>2</sub><span>&nbsp;</span>sequestered depending on the composition of the brine stream. A life cycle assessment was performed to analyze the net carbon emissions of the technology which indicated a net CO<sub>2</sub><span>&nbsp;</span>reduction for pCO<sub>2</sub>≥0.12 atm (−0.06–−0.39 kg CO<sub>2</sub>e per kg precipitated CaCO<sub>3</sub>) utilizing calcium-rich brines. The results from this study indicate the ion exchange process can be used as a scalable method to provide alkalinity necessary for the capture and storage of CO<sub>2</sub><span>&nbsp;</span>in Ca-rich waste streams.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/slct.202400834","usgsCitation":"Bustillos, S., Christofides, M., McDevitt, B., Blondes, M., McAleer, R.J., Jubb, A., Wang, B., Sant, G., and Simonetti, D., 2024, Ion exchange processes for CO2 mineralization using industrial waste streams: Pilot plant demonstration and life cycle assessment: Chemistry Select, v. 9, no. 18, e202400834, https://doi.org/10.1002/slct.202400834.","productDescription":"e202400834","ipdsId":"IP-154821","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":488959,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/slct.202400834","text":"External Repository"},{"id":428684,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"18","noUsgsAuthors":false,"publicationDate":"2024-05-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Bustillos, Steven","contributorId":336657,"corporation":false,"usgs":false,"family":"Bustillos","given":"Steven","email":"","affiliations":[{"id":80820,"text":"Department of Chemical and Biomolecular Engineering and Institute for Carbon Management, University of California Los Angeles","active":true,"usgs":false}],"preferred":false,"id":900642,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christofides, Mario","contributorId":336658,"corporation":false,"usgs":false,"family":"Christofides","given":"Mario","email":"","affiliations":[{"id":80820,"text":"Department of Chemical and Biomolecular Engineering and Institute for Carbon Management, University of California Los Angeles","active":true,"usgs":false}],"preferred":false,"id":900643,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McDevitt, Bonnie 0000-0001-8390-0028","orcid":"https://orcid.org/0000-0001-8390-0028","contributorId":291246,"corporation":false,"usgs":true,"family":"McDevitt","given":"Bonnie","email":"","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":900644,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blondes, Madalyn S. 0000-0003-0320-0107 mblondes@usgs.gov","orcid":"https://orcid.org/0000-0003-0320-0107","contributorId":3598,"corporation":false,"usgs":true,"family":"Blondes","given":"Madalyn S.","email":"mblondes@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":900645,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":215498,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan","email":"rmcaleer@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":900646,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":900647,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wang, Bu","contributorId":336659,"corporation":false,"usgs":false,"family":"Wang","given":"Bu","email":"","affiliations":[{"id":80823,"text":"Department of Civil and Environmental Engineering, University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":900648,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sant, Gaurav","contributorId":336660,"corporation":false,"usgs":false,"family":"Sant","given":"Gaurav","email":"","affiliations":[{"id":80824,"text":"Institute for Carbon Management, Department of Civil and Environmental Engineering, Department of Materials Science and Engineering, California NanoSystems Institute, University of California Los Angeles","active":true,"usgs":false}],"preferred":false,"id":900649,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Simonetti, Dante","contributorId":336661,"corporation":false,"usgs":false,"family":"Simonetti","given":"Dante","email":"","affiliations":[{"id":80820,"text":"Department of Chemical and Biomolecular Engineering and Institute for Carbon Management, University of California Los Angeles","active":true,"usgs":false}],"preferred":false,"id":900650,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70253225,"text":"ofr20241010 - 2024 - Report of the River Master of the Delaware River for the period December 1, 2014–November 30, 2015","interactions":[],"lastModifiedDate":"2026-01-28T18:02:47.384573","indexId":"ofr20241010","displayToPublicDate":"2024-05-07T10:25:00","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":"2024-1010","displayTitle":"Report of the River Master of the Delaware River for the Period December 1, 2014–November 30, 2015","title":"Report of the River Master of the Delaware River for the period December 1, 2014–November 30, 2015","docAbstract":"<h1>Executive Summary</h1><p>A Decree of the Supreme Court of the United States, entered June 7, 1954 (<i>New Jersey</i> v. <i>New York</i>, 347 U.S. 995), established the position of Delaware River Master within the U.S. Geological Survey. In addition, the Decree authorizes the diversion of water from the Delaware River Basin and requires compensating releases from specific reservoirs owned by New York City be made under the supervision and direction of the River Master. The Decree stipulates that the River Master provide reports to the Court, not less frequently than annually. This report is the 62nd annual report of the River Master of the Delaware River. This report covers the 2015 River Master report year, which is the period from December 1, 2014, to November 30, 2015.</p><p>During the report year, precipitation in the upper Delaware River Basin was 42.22 inches or 95 percent of the long-term average. The combined storage remained above 80 percent of the combined capacity until August 2015. The lowest combined storage of the report year was 57 percent of the total combined capacity on December 1, 2014. Delaware River Master operations during the year were conducted as stipulated by the Decree and the Flexible Flow Management Program.</p><p>Diversions from the Delaware River Basin by New York City and New Jersey fully complied with the Decree. The reservoir releases were made as directed by the River Master at rates designed to meet the flow objective for the Delaware River at Montague, New Jersey, on 72 days during the report year. Interim Excess Release Quantity and conservation releases, designed to relieve thermal stress and protect the fishery and aquatic habitat in the tailwaters of the reservoirs, were also made during the report year.</p><p>Water quality in the Delaware River estuary between the streamgages at Trenton, New Jersey, and Reedy Island Jetty, Delaware, was monitored at several locations. Data on water temperature, specific conductance, dissolved oxygen, and pH were collected continuously by electronic instruments at four sites.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241010","isbn":"978-1-4113-4550-8","usgsCitation":"Russell, K.L., Andrews, W.J., DiFrenna, V.J., Norris, J.M., and Mason, R.R., Jr., 2024, Report of the River Master of the Delaware River for the period December 1, 2014–November 30, 2015: U.S. Geological Survey Open-File Report 2024–1010, 96 p., https://doi.org/10.3133/ofr20241010.","productDescription":"xi, 96 p.","numberOfPages":"96","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-144905","costCenters":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"links":[{"id":499205,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_116401.htm","linkFileType":{"id":5,"text":"html"}},{"id":428180,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1010/images/"},{"id":428179,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1010/ofr20241010.XML","description":"OFR 2024-1010 XML"},{"id":431003,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241010/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2024-1010 HTML"},{"id":428177,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1010/ofr20241010.pdf","text":"Report","size":"8.56 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024-1010 PDF"},{"id":428176,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1010/coverthb.jpg"}],"country":"United States","state":"Delaware, New Jersey New York, Pennsylvania","otherGeospatial":"Delaware River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -76.94505928621406,\n              40.05337883630068\n            ],\n            [\n              -74.72855902979892,\n              39.22047921540104\n            ],\n            [\n              -73.33537420998806,\n              42.70804724221631\n            ],\n            [\n              -75.52173314274067,\n              43.29620805006448\n            ],\n            [\n              -76.94505928621406,\n              40.05337883630068\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://webapps.usgs.gov/odrm/\" data-mce-href=\"https://webapps.usgs.gov/odrm/\">Delaware River Master</a><br>Office of the Delaware River Master<br>U.S. Geological Survey</p><p><a href=\"../contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Executive Summary</li><li>Method to Determine Directed Releases From New York City Reservoirs</li><li>Hydrologic Conditions</li><li>Operations</li><li>Conformance of Operations Under the Amended Decree of the Supreme Court of the United States Entered June 7, 1954</li><li>Quality of Water in the Delaware River Estuary</li><li>Tables 1, 3–11, and 13–20</li><li>References Cited</li><li>Glossary</li><li>Appendix 1. Agreement of the Parties to the 1954 Decree of the Supreme Court of the United States, Effective June 1, 2015</li><li>Appendix 2. Temporary Modification to the Drought Entry Criteria Under the Flexible Flow Management Program</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2024-05-07","noUsgsAuthors":false,"publicationDate":"2024-05-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Russell, Kendra L. 0000-0002-3046-7440","orcid":"https://orcid.org/0000-0002-3046-7440","contributorId":218135,"corporation":false,"usgs":true,"family":"Russell","given":"Kendra","email":"","middleInitial":"L.","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":899744,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andrews, William J. 0000-0003-4780-8835","orcid":"https://orcid.org/0000-0003-4780-8835","contributorId":216006,"corporation":false,"usgs":true,"family":"Andrews","given":"William","email":"","middleInitial":"J.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true},{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":899745,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DiFrenna, Vincent J. 0000-0002-1336-7288","orcid":"https://orcid.org/0000-0002-1336-7288","contributorId":298307,"corporation":false,"usgs":true,"family":"DiFrenna","given":"Vincent","email":"","middleInitial":"J.","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":899746,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Norris, J. Michael 0000-0002-7480-0161","orcid":"https://orcid.org/0000-0002-7480-0161","contributorId":335919,"corporation":false,"usgs":false,"family":"Norris","given":"J.","email":"","middleInitial":"Michael","affiliations":[],"preferred":false,"id":899747,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mason,, Robert R. Jr. 0000-0002-3998-3468","orcid":"https://orcid.org/0000-0002-3998-3468","contributorId":335041,"corporation":false,"usgs":false,"family":"Mason,","given":"Robert R.","suffix":"Jr.","affiliations":[{"id":36206,"text":"Retired","active":true,"usgs":false}],"preferred":false,"id":899748,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70254213,"text":"70254213 - 2024 - Land-use interactions, Oil-Field infrastructure, and natural processes control hydrocarbon and arsenic concentrations in groundwater, Poso Creek Oil Field, California, USA","interactions":[],"lastModifiedDate":"2024-05-14T12:15:18.058912","indexId":"70254213","displayToPublicDate":"2024-05-07T07:12:20","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Land-use interactions, Oil-Field infrastructure, and natural processes control hydrocarbon and arsenic concentrations in groundwater, Poso Creek Oil Field, California, USA","docAbstract":"<div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\">Like many hydrocarbon production areas in the U.S., the Poso Creek Oil Field in California includes and is adjacent to other land uses (agricultural and other developed lands) that affect the hydrology and geochemistry of the aquifer overlying and adjacent to oil development. We hypothesize that the distributions of hydrocarbons and arsenic in groundwater in such areas will be controlled by complex interactions between mixed land uses, oil-field infrastructure, and natural processes. In 2020–2021, samples of groundwater and surface water were collected and analyzed for a large suite of inorganic and organic chemicals and isotope and gas tracers to test this hypothesis. Those data are supplemented with ancillary data on historical geochemistry, hydrology, geology, and oil-field infrastructure. Hydrocarbons in groundwater (e.g., methane through pentane gases and benzene) are associated with natural processes (e.g., fault offsets or transition in sediment depositional environment) and oil-field infrastructure (e.g., fluid-migration pathways associated with uncemented annulus in oil wells or unlined pits). Arsenic concentrations &gt;10&nbsp;μg per liter (μg/L; maximum concentration 12.9&nbsp;μg/L) are associated with natural processes in old, high-pH groundwater, and more recent recharge of water from natural and/or engineered recharge processes. Along the southwest margin of the oil field, pumping for drinking-water and irrigation supplies in combination with engineered groundwater recharge produce a depression in groundwater elevations where groundwater with elevated sulfate concentrations from agricultural areas and groundwater with hydrocarbons from the oil field mix to produce a zone of sulfate reduction that removes hydrocarbons and arsenic from groundwater but produces elevated sulfide (S<sup>2-</sup>) concentrations (maximum concentration 29&nbsp;mg per liter, mg/L). In this study, multiple approaches were required to resolve the overlapping effects of land uses, oil-field infrastructure, and natural processes on the distributions of hydrocarbons and arsenic in groundwater. The combined use of geographic, historical, physical, chemical, isotopic, and other information to constrain processes could be a useful approach for studies in other hydrocarbon-production areas. This is particularly important where land uses affect aquifer hydrology to an extent that causes mixing of groundwaters with different chemical compositions.</p></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2024.106025","usgsCitation":"McMahon, P.B., Landon, M.K., Stephens, M.J., Taylor, K.A., Wright, M., Hansen, A., Kraus, T.E., Cozzarelli, I.M., Shimabukuro, D.H., Sowers, T., Kulongoski, J.T., Hunt, A., Karolyte, R., Hillegonds, D.J., and Ballentine, C.J., 2024, Land-use interactions, Oil-Field infrastructure, and natural processes control hydrocarbon and arsenic concentrations in groundwater, Poso Creek Oil Field, California, USA: Applied Geochemistry, v. 168, 106025, 18 p., https://doi.org/10.1016/j.apgeochem.2024.106025.","productDescription":"106025, 18 p.","ipdsId":"IP-154452","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":439654,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.apgeochem.2024.106025","text":"Publisher Index Page"},{"id":428688,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Poso Creek Oil Field","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -119.8428619576786,\n              36.11393944874669\n            ],\n            [\n              -119.8428619576786,\n              35.467736249046496\n            ],\n            [\n              -119.0462078698032,\n              35.467736249046496\n            ],\n            [\n              -119.0462078698032,\n              36.11393944874669\n            ],\n            [\n              -119.8428619576786,\n              36.11393944874669\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"168","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McMahon, Peter B. 0000-0001-7452-2379 pmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":724,"corporation":false,"usgs":true,"family":"McMahon","given":"Peter","email":"pmcmahon@usgs.gov","middleInitial":"B.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":900621,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Landon, Matthew K. 0000-0002-5766-0494 landon@usgs.gov","orcid":"https://orcid.org/0000-0002-5766-0494","contributorId":392,"corporation":false,"usgs":true,"family":"Landon","given":"Matthew","email":"landon@usgs.gov","middleInitial":"K.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":900622,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stephens, Michael J. 0000-0001-8995-9928","orcid":"https://orcid.org/0000-0001-8995-9928","contributorId":205895,"corporation":false,"usgs":true,"family":"Stephens","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":900623,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taylor, Kimberly A. 0000-0002-0095-6403 ktaylor@usgs.gov","orcid":"https://orcid.org/0000-0002-0095-6403","contributorId":1601,"corporation":false,"usgs":true,"family":"Taylor","given":"Kimberly","email":"ktaylor@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":900624,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wright, Michael 0000-0003-0653-6466 mtwright@usgs.gov","orcid":"https://orcid.org/0000-0003-0653-6466","contributorId":151031,"corporation":false,"usgs":true,"family":"Wright","given":"Michael","email":"mtwright@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":900625,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hansen, Angela 0000-0003-0938-7611 anhansen@usgs.gov","orcid":"https://orcid.org/0000-0003-0938-7611","contributorId":171551,"corporation":false,"usgs":true,"family":"Hansen","given":"Angela","email":"anhansen@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":900626,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kraus, Tamara E. C. 0000-0002-5187-8644 tkraus@usgs.gov","orcid":"https://orcid.org/0000-0002-5187-8644","contributorId":147560,"corporation":false,"usgs":true,"family":"Kraus","given":"Tamara","email":"tkraus@usgs.gov","middleInitial":"E. C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":900627,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":900628,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Shimabukuro, David H. 0000-0002-6106-5284","orcid":"https://orcid.org/0000-0002-6106-5284","contributorId":208209,"corporation":false,"usgs":false,"family":"Shimabukuro","given":"David","email":"","middleInitial":"H.","affiliations":[{"id":37762,"text":"California State University, Sacramento","active":true,"usgs":false}],"preferred":false,"id":900629,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sowers, Theron A. 0000-0002-3208-5411","orcid":"https://orcid.org/0000-0002-3208-5411","contributorId":301944,"corporation":false,"usgs":false,"family":"Sowers","given":"Theron A.","affiliations":[{"id":37762,"text":"California State University, Sacramento","active":true,"usgs":false}],"preferred":false,"id":900630,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kulongoski, Justin T. 0000-0002-3498-4154 kulongos@usgs.gov","orcid":"https://orcid.org/0000-0002-3498-4154","contributorId":173457,"corporation":false,"usgs":true,"family":"Kulongoski","given":"Justin","email":"kulongos@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":900631,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hunt, Andrew G. 0000-0002-3810-8610","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":206197,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew G.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":900632,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Karolyte, Ruta","contributorId":265753,"corporation":false,"usgs":false,"family":"Karolyte","given":"Ruta","email":"","affiliations":[{"id":54782,"text":"Dept. of Earth Sciences, Univ. of Oxford","active":true,"usgs":false}],"preferred":false,"id":900633,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Hillegonds, Darren J.","contributorId":336649,"corporation":false,"usgs":false,"family":"Hillegonds","given":"Darren","email":"","middleInitial":"J.","affiliations":[{"id":80816,"text":"Univ. of Oxford, Dept of Earth Sciences","active":true,"usgs":false}],"preferred":false,"id":900634,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Ballentine, Chris J.","contributorId":336650,"corporation":false,"usgs":false,"family":"Ballentine","given":"Chris","email":"","middleInitial":"J.","affiliations":[{"id":80817,"text":"Univ of Oxford, Dept of Earth Sciences","active":true,"usgs":false}],"preferred":false,"id":900635,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70254042,"text":"sir20235145 - 2024 - Assessment and characterization of ephemeral stream channel stability and mechanisms affecting erosion in Grand Valley, western Colorado, 2018–21","interactions":[],"lastModifiedDate":"2026-01-30T19:59:39.060515","indexId":"sir20235145","displayToPublicDate":"2024-05-06T13:30:00","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":"2023-5145","displayTitle":"Assessment and Characterization of Ephemeral Stream Channel Stability and Mechanisms Affecting Erosion in Grand Valley, Western Colorado, 2018–21","title":"Assessment and characterization of ephemeral stream channel stability and mechanisms affecting erosion in Grand Valley, western Colorado, 2018–21","docAbstract":"<p>The Grand Valley in western Colorado is in the semiarid Southwest United States. The north side of the Grand Valley has many ungaged ephemeral streams, which are of particular interest because (1) the underlying bedrock geology, Late Cretaceous Mancos Shale, is a sedimentary rock deposit identified as a major salinity contributor to the Colorado River and (2) despite infrequent streamflows of short duration, monsoon-derived floods in these ephemeral streams can carry substantial amounts of sediment downstream, affecting upstream and downstream banks and channel cross sections. The study area is of interest, because salinity, or the total dissolved solids concentration, in the Colorado River causes an estimated $300 million to $400 million per year in economic damages in the United States, and it is estimated 62 percent of the Upper Colorado River Basin’s total dissolved solid loads originate from geologic sources. In an effort to minimize salt contributions to the Colorado River from public lands administered by the Bureau of Land Management, a comprehensive salinity control approach is typically used to reduce nonpoint sources of salinity through land management techniques and practices.</p><p>In 2018, the U.S. Geological Survey, in cooperation with the Bureau of Land Management, began an assessment of ephemeral streams located on the north side of the Grand Valley, western Colorado, to characterize stream channel stability and identify mechanisms affecting erosion. The U.S. Geological Survey developed a method for automatically extracting channel cross-section geometry from existing remotely sensed terrain models. Based on estimated flood stage and surrogate streamflows, hydraulic characteristics were calculated. Furthermore, the channel geometries and hydraulic characteristics were used to estimate channel stability using a statistical model.</p><p>Cross-section stabilities were determined from a stream channel stability assessment for a subset of 1,406 visited (field observed) locations out of 13,415 cross sections, which were delineated from remotely sensed terrain models. The application of Manning’s resistance equation in combination with multiple logistic regression models demonstrated channel stability can be estimated with a 0.845 goodness of fit for a validation dataset when using a combination of drainage area, width-to-depth ratio, sinuosity, and shear stress as the explanatory variables. Stream channel stability was extrapolated for 13,415 unvisited (not field observed) cross sections using the multiple logistic regression model and defined explanatory variables. Mapping of the ephemeral streams and their associated stabilities may be used by the Bureau of Land Management to prioritize areas for remediation or changes in management strategies to reduce sediment and salinity loading to the Colorado River.</p><p>The study found channel stability within the ephemeral streams to be spatially variable, longitudinally discontinuous, and dictated by changes in channel bed slope. The stable ephemeral streams were relatively wide and shallow and often had smaller drainage areas with less potential for producing shear stresses capable of overcoming channel adhesion. A change in channel bed slope can provide the means necessary to generate shear stresses appropriate to initiate erosion and a subsequent stability transition to incising channels. Channel widening happens when either or both banks of an incising channel reach a critical height for mass wasting, or when channel curvature causes higher sidewall stress. Regardless, widening channels can promote increases in sinuosity and subsequently reduce steep channel bed slopes. Consequently, stable and widening channels can have comparable bed slopes, making channel bed slope a poor explanatory variable to predict channel stability overall, despite its function to initiate channel instability.<br></p><p>The results were based on a surrogate 0.10 annual exceedance probability (AEP; return period equal to the 10-year flood) interval streamflow, although it was recognized fluctuations in streamflow would also affect channel stability. Past and current changes within the study area affect streamflow; therefore, mechanisms affecting erosion include land use disturbances, soil compaction, loss of vegetation cover, drought, less frequent and more extreme precipitation, and fires—which all intensify the potential runoff and erosion within the study area.</p><p><br data-mce-bogus=\"1\"></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235145","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Homan, J.W., 2024, Assessment and characterization of ephemeral stream channel stability and mechanisms affecting erosion in Grand Valley, western Colorado, 2018–21: U.S. Geological Survey Scientific Investigations Report 2023–5145, 33 p., https://doi.org/10.3133/sir20235145.","productDescription":"Report: v, 33 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-141804","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":428405,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5145/coverthb.jpg"},{"id":428406,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5145/sir20235145.pdf","text":"Report","size":"4.14 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5145"},{"id":428433,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5145/sir20235145.xml"},{"id":428437,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235145/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2023-5145"},{"id":428432,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5145/images"},{"id":428407,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1DX9QXB","text":"USGS data release","linkHelpText":"Ephemeral Stream Channel Stability Data from the Grand Valley, Western Colorado, 2018-21"},{"id":499407,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_116404.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Colorado","otherGeospatial":"Grand Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -109.06725111157466,\n              39.76417888147111\n            ],\n            [\n              -109.06725111157466,\n              39.04504136413621\n            ],\n            [\n              -107.88230406173817,\n              39.04504136413621\n            ],\n            [\n              -107.88230406173817,\n              39.76417888147111\n            ],\n            [\n              -109.06725111157466,\n              39.76417888147111\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/colorado-water-science-center/\" data-mce-href=\"https://www.usgs.gov/centers/colorado-water-science-center/\">Colorado Water Science Center</a><br>U.S. Geological Survey<br>Box 25046, Mail Stop 415<br>Denver, Colorado 80225</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Geomorphic Erosion Processes and Characteristics</li><li>Methods for Ephemeral Stream Channel Assessment</li><li>Ephemeral Stream Channel Assessment</li><li>Channel Stability Characteristics</li><li>Mechanisms Affecting Erosion</li><li>Summary</li><li>References Cited</li></ul>","publishedDate":"2024-05-06","noUsgsAuthors":false,"publicationDate":"2024-05-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Homan, Joel William 0000-0002-6709-123X","orcid":"https://orcid.org/0000-0002-6709-123X","contributorId":315495,"corporation":false,"usgs":true,"family":"Homan","given":"Joel","email":"","middleInitial":"William","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":900129,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70261563,"text":"70261563 - 2024 - When do we need multiple infectious disease models? Agreement between projection rank and magnitude in a multi-model setting","interactions":[],"lastModifiedDate":"2024-12-16T15:36:50.180572","indexId":"70261563","displayToPublicDate":"2024-05-06T09:33:23","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5213,"text":"Epidemics","active":true,"publicationSubtype":{"id":10}},"title":"When do we need multiple infectious disease models? Agreement between projection rank and magnitude in a multi-model setting","docAbstract":"<p><span>Mathematical models are useful for&nbsp;public health&nbsp;planning and response to infectious disease threats. However, different models can provide differing results, which can hamper&nbsp;</span>decision making<span>&nbsp;if not synthesized appropriately. To address this challenge, multi-model hubs convene independent modeling groups to generate ensembles, known to provide more accurate predictions of future outcomes. Yet, these hubs are resource intensive, and how many models are sufficient in a hub is not known. Here, we compare the benefit of predictions from multiple models in different contexts: (1) decision settings that depend on predictions of quantitative outcomes (e.g., hospital capacity planning), where assessments of the benefits of multi-model ensembles have largely focused; and (2) decisions settings that require the ranking of alternative epidemic scenarios (e.g., comparing outcomes under multiple possible interventions and biological uncertainties). We develop a mathematical framework to mimic a multi-model prediction setting, and use this framework to quantify how frequently predictions from different models agree. We further explore multi-model agreement using real-world, empirical data from 14 rounds of&nbsp;U.S.&nbsp;COVID-19 Scenario Modeling Hub projections. Our results suggest that the value of multiple models could be different in different decision contexts, and if only a few models are available, focusing on the rank of alternative epidemic scenarios could be more robust than focusing on quantitative outcomes. Although additional exploration of the sufficient number of models for different contexts is still needed, our results indicate that it may be possible to identify decision contexts where it is robust to rely on fewer models, a finding that can inform the use of modeling resources during future public health crises.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.epidem.2024.100767","usgsCitation":"Wade-Malone, L.K., Howerton, E., Probert, W., Runge, M.C., Viboud, C., and Shea, K., 2024, When do we need multiple infectious disease models? Agreement between projection rank and magnitude in a multi-model setting: Epidemics, v. 47, 100767, 14 p., https://doi.org/10.1016/j.epidem.2024.100767.","productDescription":"100767, 14 p.","ipdsId":"IP-158794","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":467011,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epidem.2024.100767","text":"Publisher Index Page"},{"id":465147,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wade-Malone, La Keisha","contributorId":347211,"corporation":false,"usgs":false,"family":"Wade-Malone","given":"La","email":"","middleInitial":"Keisha","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":921051,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Howerton, Emily 0000-0002-0639-3728","orcid":"https://orcid.org/0000-0002-0639-3728","contributorId":258035,"corporation":false,"usgs":false,"family":"Howerton","given":"Emily","email":"","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":921052,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Probert, William J.M.","contributorId":268234,"corporation":false,"usgs":false,"family":"Probert","given":"William J.M.","affiliations":[{"id":25447,"text":"University of Oxford","active":true,"usgs":false}],"preferred":false,"id":921053,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":921054,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Viboud, Cecile 0000-0003-3243-4711","orcid":"https://orcid.org/0000-0003-3243-4711","contributorId":258034,"corporation":false,"usgs":false,"family":"Viboud","given":"Cecile","email":"","affiliations":[{"id":52216,"text":"National Institutes of Health Fogarty International Center","active":true,"usgs":false}],"preferred":false,"id":921055,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shea, Katriona 0000-0002-7607-8248","orcid":"https://orcid.org/0000-0002-7607-8248","contributorId":193646,"corporation":false,"usgs":false,"family":"Shea","given":"Katriona","email":"","affiliations":[],"preferred":false,"id":921056,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70256544,"text":"70256544 - 2024 - Impounded sediment and dam removal: Erosion rates and proximal downstream fate","interactions":[],"lastModifiedDate":"2024-08-01T14:36:55.324873","indexId":"70256544","displayToPublicDate":"2024-05-06T09:28:16","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18171,"text":"Earth Systems Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Impounded sediment and dam removal: Erosion rates and proximal downstream fate","docAbstract":"<p><span>Sediment management is an important aspect of dam removal projects, often driving costs and influencing community acceptance. For dams storing uncontaminated sediments, downstream release is often the cheapest and most practical approach and can be ecologically beneficial to downstream areas deprived of sediment for years. To employ this option, project proponents must estimate the sediment quantity to be released and, if substantial, estimate how long it will take to erode, where it will go and how long it will stay there. We investigated these issues when the Bloede Dam was removed from the Patapsco River in Maryland, USA, in 2018. The dam was about 10&nbsp;m high, and its impoundment was nearly filled with an estimated 186 600 m</span><sup>3</sup><span>&nbsp;of sediment composed of 70% sand and 30% mud. After removal, using elevation surveys generated by traditional methods as well as structure-from-motion (SfM) photogrammetry at high temporal resolution, we documented rapid erosion of stored sediments in the first 6 months (~60%) followed by greatly reduced erosion rates for the next two and a half years. A stable channel developed in the impoundment during the rapid erosion phase. These results were predicted by a two-phased erosion response model developed from observations at sand-filled impoundments, thus expanding its applicability to include impoundments with a sand-over-mud stratigraphy. A similar two-phase erosion response has been reported for sediment releases at other dam removals in the United States, France and Japan across a range of dam and watershed scales, indicating what practitioners and communities should expect in similar settings. Downstream, repeat surveys combined with discharge and sediment gaging showed rapid transport of eroded sediments through a 5-km reach, especially during the first year when discharges were above normal, and little overbank storage.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/esp.5850","usgsCitation":"Collins, M.J., Baker, M.E., Cashman, M.J., Miller, A., and Van Ryswick, S., 2024, Impounded sediment and dam removal: Erosion rates and proximal downstream fate: Earth Systems Processes and Landforms, v. 49, p. 2690-2703, https://doi.org/10.1002/esp.5850.","productDescription":"14 p.","startPage":"2690","endPage":"2703","ipdsId":"IP-155014","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"links":[{"id":439656,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/esp.5850","text":"Publisher Index Page"},{"id":432028,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Patapsco River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -76.83408755981594,\n              39.30706218141856\n            ],\n            [\n              -76.82795890419602,\n              39.32160674641318\n            ],\n            [\n              -76.87308992002937,\n              39.34486766362994\n            ],\n            [\n              -76.88530997597846,\n              39.33378339261742\n            ],\n            [\n              -76.83504342654426,\n              39.302889650775796\n            ],\n            [\n              -76.83408755981594,\n              39.30706218141856\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"49","noUsgsAuthors":false,"publicationDate":"2024-05-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Collins, Matthias J. 0000-0003-4238-2038","orcid":"https://orcid.org/0000-0003-4238-2038","contributorId":196365,"corporation":false,"usgs":false,"family":"Collins","given":"Matthias","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":907903,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baker, Matthew E.","contributorId":149189,"corporation":false,"usgs":false,"family":"Baker","given":"Matthew","email":"","middleInitial":"E.","affiliations":[{"id":17665,"text":"Department of Geography and Environmental Systems, University of Maryland, Baltimore County, Baltimore, Maryland, US","active":true,"usgs":false}],"preferred":false,"id":907904,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cashman, Matthew J. 0000-0002-6635-4309","orcid":"https://orcid.org/0000-0002-6635-4309","contributorId":203315,"corporation":false,"usgs":true,"family":"Cashman","given":"Matthew","middleInitial":"J.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":907905,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, Andrew","contributorId":200717,"corporation":false,"usgs":false,"family":"Miller","given":"Andrew","affiliations":[],"preferred":false,"id":907906,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Van Ryswick, Stephen","contributorId":341076,"corporation":false,"usgs":false,"family":"Van Ryswick","given":"Stephen","email":"","affiliations":[{"id":25435,"text":"Maryland Geological Survey","active":true,"usgs":false}],"preferred":false,"id":907907,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70273290,"text":"70273290 - 2024 - Modeling nearshore total phosphorus in Lake Michigan using linked hydrodynamic and water quality models","interactions":[],"lastModifiedDate":"2026-01-05T15:24:15.668823","indexId":"70273290","displayToPublicDate":"2024-05-06T09:12:30","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Modeling nearshore total phosphorus in Lake Michigan using linked hydrodynamic and water quality models","docAbstract":"<div id=\"preview-section-abstract\"><div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0002\" class=\"abstract author\"><div id=\"abss0002\"><div id=\"spara014\" class=\"u-margin-s-bottom\">Although the offshore water of Lake Michigan has been below the Great Lakes Water Quality Agreement (GLWQA) total phosphorus (TP) spring target concentration of 7 µg L<sup>−1</sup><span>&nbsp;</span>for several decades, higher TP concentrations occur in the nearshore, contributing to the resurgence of<span>&nbsp;</span><i>Cladophora</i><span>&nbsp;</span>and other nutrient related issues. The most recent update of the GLWQA specifically calls for the assessment of current nearshore conditions. Such assessment would require an intensive monitoring program supported by water quality models. Here we applied multiple versions of a phosphorus-based model linked to an unstructured-grid hydrodynamic model. We focus on the nearshore regions of Lake Michigan around the Grand and Muskegon rivers – a region with strong riverine TP influence and intensive monitoring. Results from a TP model were compared to observational data and to a previously published Phosphorus-based Nutrient–Phytoplankton–Zooplankton–Detrital–Mussel (NPZDM) model. Model results and observational data show that parts of the nearshore can be well above the target TP concentrations but, due to the dynamic nature of this region, the TP concentrations can change rapidly. The models’ skill statistics in predicting individual observations were variable, but it was able to simulate temporal and spatial trends and captured the distribution of observations in our study area. The similarity between the results of the TP and NPZDM models demonstrated the TP concentrations in this nearshore area are driven by hydrodynamics and river TP loads, which are likely the reasons for the higher observed TP concentrations. Simplicity, transparency, and ease of use of the TP model make it a useful tool for supporting nearshore assessments and estimating existing and future nearshore TP concentrations.</div></div></div></div></div><div id=\"preview-section-introduction\"></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2024.110718","usgsCitation":"Pauer, J.P., Rowe, M.D., Melendez, W., Hollenhorst, T.P., Lowe, L.L., Alsip, P.J., Robertson, D., and Pothoven, S.A., 2024, Modeling nearshore total phosphorus in Lake Michigan using linked hydrodynamic and water quality models: Ecological Modelling, v. 493, 110718, 13 p., https://doi.org/10.1016/j.ecolmodel.2024.110718.","productDescription":"110718, 13 p.","ipdsId":"IP-152531","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":498452,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11684522","text":"External Repository"},{"id":498319,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","otherGeospatial":"Grand-Muskegon zone, Lake Michigan","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -85.97556776279329,\n              43.36374104852365\n            ],\n            [\n              -86.51287762233953,\n              43.36374104852365\n            ],\n            [\n              -86.51287762233953,\n              42.96179354983815\n            ],\n            [\n              -85.97556776279329,\n              42.96179354983815\n            ],\n            [\n              -85.97556776279329,\n              43.36374104852365\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"493","noUsgsAuthors":false,"publicationDate":"2024-05-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Pauer, James P.","contributorId":364800,"corporation":false,"usgs":false,"family":"Pauer","given":"James","middleInitial":"P.","affiliations":[{"id":39312,"text":"U.S. EPA","active":true,"usgs":false}],"preferred":false,"id":953228,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rowe, Mark D.","contributorId":364802,"corporation":false,"usgs":false,"family":"Rowe","given":"Mark","middleInitial":"D.","affiliations":[{"id":37482,"text":"National Oceanographic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":953229,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Melendez, WIlson","contributorId":364805,"corporation":false,"usgs":false,"family":"Melendez","given":"WIlson","affiliations":[{"id":55573,"text":"General Dynamics Information Technology","active":true,"usgs":false}],"preferred":false,"id":953230,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hollenhorst, Thomas P","contributorId":364807,"corporation":false,"usgs":false,"family":"Hollenhorst","given":"Thomas","middleInitial":"P","affiliations":[{"id":39312,"text":"U.S. EPA","active":true,"usgs":false}],"preferred":false,"id":953231,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lowe, Lisa L","contributorId":364810,"corporation":false,"usgs":false,"family":"Lowe","given":"Lisa","middleInitial":"L","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":953232,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Alsip, Peter J.","contributorId":364812,"corporation":false,"usgs":false,"family":"Alsip","given":"Peter","middleInitial":"J.","affiliations":[{"id":37387,"text":"University of Michigan","active":true,"usgs":false}],"preferred":false,"id":953233,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Robertson, Dale M. 0000-0001-6799-0596","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":217258,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953234,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pothoven, Steven A.","contributorId":364815,"corporation":false,"usgs":false,"family":"Pothoven","given":"Steven","middleInitial":"A.","affiliations":[{"id":37482,"text":"National Oceanographic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":953235,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70254264,"text":"70254264 - 2024 - Landscape fragmentation overturns classical metapopulation thinking","interactions":[],"lastModifiedDate":"2024-05-15T12:08:51.86187","indexId":"70254264","displayToPublicDate":"2024-05-06T07:07:39","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2982,"text":"PNAS","active":true,"publicationSubtype":{"id":10}},"title":"Landscape fragmentation overturns classical metapopulation thinking","docAbstract":"<div>Habitat loss and isolation caused by landscape fragmentation represent a growing threat to global biodiversity. Existing theory suggests that the process will lead to a decline in metapopulation viability. However, since most metapopulation models are restricted to simple networks of discrete habitat patches, the effects of real landscape fragmentation, particularly in stochastic environments, are not well understood. To close this major gap in ecological theory, we developed a spatially explicit, individual-based model applicable to realistic landscape structures, bridging metapopulation ecology and landscape ecology. This model reproduced classical metapopulation dynamics under conventional model assumptions, but on fragmented landscapes, it uncovered general dynamics that are in stark contradiction to the prevailing views in the ecological and conservation literature. Notably, fragmentation can give rise to a series of dualities: a) positive and negative responses to environmental noise, b) relative slowdown and acceleration in density decline, and c) synchronization and desynchronization of local population dynamics. Furthermore, counter to common intuition, species that interact locally (“residents”) were often more resilient to fragmentation than long-ranging “migrants.” This set of findings signals a need to fundamentally reconsider our approach to ecosystem management in a noisy and fragmented world.</div>","language":"English","publisher":"PNAS","doi":"10.1073/pnas.2303846121","usgsCitation":"Tao, Y., Hastings, A., Lafferty, K.D., Hanski, I., and Ovaskainen, O., 2024, Landscape fragmentation overturns classical metapopulation thinking: PNAS, v. 121, no. 20, e2303846121, 8 p., https://doi.org/10.1073/pnas.2303846121.","productDescription":"e2303846121, 8 p.","ipdsId":"IP-159597","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":439658,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.2303846121","text":"Publisher Index Page"},{"id":428733,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"121","issue":"20","noUsgsAuthors":false,"publicationDate":"2024-05-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Tao, Yun","contributorId":259235,"corporation":false,"usgs":false,"family":"Tao","given":"Yun","email":"","affiliations":[{"id":52331,"text":"Intelligence Community Postdoctoral Research Fellowship Program, Department of Ecology, Evolution and Marine Biology, University of California, Santa Barbara, CA, 93106, USA","active":true,"usgs":false}],"preferred":false,"id":900809,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hastings, Alan","contributorId":175365,"corporation":false,"usgs":false,"family":"Hastings","given":"Alan","email":"","affiliations":[],"preferred":false,"id":900810,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":900811,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hanski, Ilkka","contributorId":336700,"corporation":false,"usgs":false,"family":"Hanski","given":"Ilkka","email":"","affiliations":[{"id":18162,"text":"University of Helsinki","active":true,"usgs":false}],"preferred":false,"id":900812,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ovaskainen, Otso 0000-0001-9750-4421","orcid":"https://orcid.org/0000-0001-9750-4421","contributorId":304157,"corporation":false,"usgs":false,"family":"Ovaskainen","given":"Otso","email":"","affiliations":[{"id":18162,"text":"University of Helsinki","active":true,"usgs":false}],"preferred":false,"id":900813,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70254108,"text":"70254108 - 2024 - Assessing locations susceptible to shallow landslide initiation during prolonged intense rainfall in the Lares, Utuado, and Naranjito municipalities of Puerto Rico","interactions":[],"lastModifiedDate":"2024-05-07T12:03:33.645411","indexId":"70254108","displayToPublicDate":"2024-05-06T06:59:35","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2824,"text":"Natural Hazards and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Assessing locations susceptible to shallow landslide initiation during prolonged intense rainfall in the Lares, Utuado, and Naranjito municipalities of Puerto Rico","docAbstract":"<div id=\"abstract\" class=\"abstract sec\"><div class=\"abstract-content show-no-js\"><p id=\"d1e134\">Hurricane Maria induced about 70 000 landslides throughout Puerto Rico, USA, including thousands each in three municipalities situated in Puerto Rico's rugged Cordillera Central range. By combining a nonlinear soil-depth model, presumed wettest-case pore pressures, and quasi-three-dimensional (3D) slope-stability analysis, we developed a landslide susceptibility map that has very good performance and continuous susceptibility zones having smooth, buffered boundaries. Our landslide susceptibility map enables assessment of potential ground-failure locations and their use as landslide sources in a companion assessment of inundation and debris-flow runout. The quasi-3D factor of safety,<span>&nbsp;</span><span class=\"inline-formula\"><i>F</i><sub>3</sub></span>, showed strong inverse correlation to landslide density (high density at low<span>&nbsp;</span><span class=\"inline-formula\"><i>F</i><sub>3</sub></span>). Area under the curve (AUC) of true positive rate (TPR) versus false positive rate (FPR) indicated success of<span>&nbsp;</span><span class=\"inline-formula\"><i>F</i><sub>3</sub></span><span>&nbsp;</span>in identifying head-scarp points (AUC <span class=\"inline-formula\">=</span> 0.84) and source-area polygons (0.85 <span class=\"inline-formula\">≤</span> AUC <span class=\"inline-formula\">≤</span> 0.88). The susceptibility zones enclose specific percentages of observed landslides. Thus, zone boundaries use successive<span>&nbsp;</span><span class=\"inline-formula\"><i>F</i><sub>3</sub></span><span>&nbsp;</span>levels for increasing TPR of landslide head-scarp points, with zones bounded by<span>&nbsp;</span><span class=\"inline-formula\"><i>F</i><sub>3</sub></span><span>&nbsp;</span>at TPR <span class=\"inline-formula\">=</span> 0.75, very high;<span>&nbsp;</span><span class=\"inline-formula\"><i>F</i><sub>3</sub></span><span>&nbsp;</span>at TPR <span class=\"inline-formula\">=</span> 0.90, high; and the remainder moderate to low. The very high susceptibility zone, with 118 landslides km<span class=\"inline-formula\"><sup>−2</sup></span>, covered 23 % of the three municipalities. The high zone (51 landslides km<span class=\"inline-formula\"><sup>−2</sup></span>) covered another 10 %.</p></div></div><div id=\"citation-footer\" class=\"sec\"><br></div>","language":"English","publisher":"European Geosciences Union","doi":"10.5194/nhess-24-1579-2024","usgsCitation":"Baum, R.L., Brien, D.L., Reid, M.E., Schulz, W.H., and Tello, M.J., 2024, Assessing locations susceptible to shallow landslide initiation during prolonged intense rainfall in the Lares, Utuado, and Naranjito municipalities of Puerto Rico: Natural Hazards and Earth System Sciences, v. 24, no. 5, p. 1579-1605, https://doi.org/10.5194/nhess-24-1579-2024.","productDescription":"27 p.","startPage":"1579","endPage":"1605","ipdsId":"IP-145597","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":439661,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/nhess-24-1579-2024","text":"Publisher Index Page"},{"id":428461,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Puerto Rice","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -67.47258370079227,\n              18.740183729733232\n            ],\n            [\n              -67.47258370079227,\n              17.801275056282194\n            ],\n            [\n              -65.45109932579268,\n              17.801275056282194\n            ],\n            [\n              -65.45109932579268,\n              18.740183729733232\n            ],\n            [\n              -67.47258370079227,\n              18.740183729733232\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"24","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-05-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Baum, Rex L. 0000-0001-5337-1970 baum@usgs.gov","orcid":"https://orcid.org/0000-0001-5337-1970","contributorId":1288,"corporation":false,"usgs":true,"family":"Baum","given":"Rex","email":"baum@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":900243,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brien, Dianne L. 0000-0003-3227-7963 dbrien@usgs.gov","orcid":"https://orcid.org/0000-0003-3227-7963","contributorId":229851,"corporation":false,"usgs":true,"family":"Brien","given":"Dianne","email":"dbrien@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":900244,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reid, Mark E. 0000-0002-5595-1503 mreid@usgs.gov","orcid":"https://orcid.org/0000-0002-5595-1503","contributorId":1167,"corporation":false,"usgs":true,"family":"Reid","given":"Mark","email":"mreid@usgs.gov","middleInitial":"E.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":900245,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schulz, William H. 0000-0001-9980-3580 wschulz@usgs.gov","orcid":"https://orcid.org/0000-0001-9980-3580","contributorId":942,"corporation":false,"usgs":true,"family":"Schulz","given":"William","email":"wschulz@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":900246,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tello, Matthew J.","contributorId":330241,"corporation":false,"usgs":false,"family":"Tello","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":78854,"text":"Colorado Department of Transportation","active":true,"usgs":false}],"preferred":false,"id":900247,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70254106,"text":"70254106 - 2024 - Streamflow depletion caused by groundwater pumping: Fundamental research priorities for management-relevant science","interactions":[],"lastModifiedDate":"2024-05-07T11:58:31.494539","indexId":"70254106","displayToPublicDate":"2024-05-06T06:53:03","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":11438,"text":"Water Resource Research","active":true,"publicationSubtype":{"id":10}},"title":"Streamflow depletion caused by groundwater pumping: Fundamental research priorities for management-relevant science","docAbstract":"<div class=\"article-section__content en main\"><p>Reductions in streamflow caused by groundwater pumping, known as “streamflow depletion,” link the hydrologic process of stream-aquifer interactions to human modifications of the water cycle. Isolating the impacts of groundwater pumping on streamflow is challenging because other climate and human activities concurrently impact streamflow, making it difficult to separate individual drivers of hydrologic change. In addition, there can be lags between when pumping occurs and when streamflow is affected. However, accurate quantification of streamflow depletion is critical to integrated groundwater and surface water management decision making. Here, we highlight research priorities to help advance fundamental hydrologic science and better serve the decision-making process. Key priorities include (a) linking streamflow depletion to decision-relevant outcomes such as ecosystem function and water users to align with partner needs; (b) enhancing partner trust and applicability of streamflow depletion methods through benchmarking and coupled model development; and (c) improving links between streamflow depletion quantification and decision-making processes. Catalyzing research efforts around the common goal of enhancing our streamflow depletion decision-support capabilities will require disciplinary advances within the water science community and a commitment to transdisciplinary collaboration with diverse water-connected disciplines, professions, governments, organizations, and communities.</p></div>","language":"English","publisher":"Wiley","doi":"10.1029/2023WR035727","usgsCitation":"Zipper, S., Brookfield, A.E., Ajami, H., Ayers, J.R., Beightel, C., Fienen, M., Gleeson, T., Hammond, J., Hill, M.C., Kendall, A.D., Kerr, B., Lapides, D.A., Porter, M., Parimalarenganayaki, S., Rohde, M., and Wardropper, C., 2024, Streamflow depletion caused by groundwater pumping: Fundamental research priorities for management-relevant science: Water Resource Research, v. 60, no. 5, e2023WR035727, 7 p., https://doi.org/10.1029/2023WR035727.","productDescription":"e2023WR035727, 7 p.","ipdsId":"IP-154510","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"links":[{"id":439664,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023wr035727","text":"Publisher Index Page"},{"id":428460,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"60","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-05-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Zipper, Samuel 0000-0002-8735-5757","orcid":"https://orcid.org/0000-0002-8735-5757","contributorId":225160,"corporation":false,"usgs":false,"family":"Zipper","given":"Samuel","email":"","affiliations":[{"id":41056,"text":"Kansas Geological Survey, University of Kansas, Lawrence KS 66047, USA","active":true,"usgs":false}],"preferred":false,"id":900231,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brookfield, Andrea E.","contributorId":202677,"corporation":false,"usgs":false,"family":"Brookfield","given":"Andrea","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":900232,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ajami, Hoori 0000-0001-6883-7630","orcid":"https://orcid.org/0000-0001-6883-7630","contributorId":303806,"corporation":false,"usgs":false,"family":"Ajami","given":"Hoori","email":"","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":900255,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ayers, Jessica R.","contributorId":303802,"corporation":false,"usgs":false,"family":"Ayers","given":"Jessica","email":"","middleInitial":"R.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":900256,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beightel, Chris","contributorId":336531,"corporation":false,"usgs":false,"family":"Beightel","given":"Chris","email":"","affiliations":[{"id":80785,"text":"Kansas Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":900233,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fienen, Michael N. 0000-0002-7756-4651","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":245632,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":900234,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gleeson, Tom","contributorId":81041,"corporation":false,"usgs":true,"family":"Gleeson","given":"Tom","email":"","affiliations":[],"preferred":false,"id":900257,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hammond, John C. 0000-0002-4935-0736","orcid":"https://orcid.org/0000-0002-4935-0736","contributorId":223108,"corporation":false,"usgs":true,"family":"Hammond","given":"John C.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"preferred":true,"id":900235,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hill, Mary C","contributorId":248840,"corporation":false,"usgs":false,"family":"Hill","given":"Mary","email":"","middleInitial":"C","affiliations":[{"id":50042,"text":"University of Kansas, USA","active":true,"usgs":false}],"preferred":false,"id":900236,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kendall, Anthony D","contributorId":244631,"corporation":false,"usgs":false,"family":"Kendall","given":"Anthony","email":"","middleInitial":"D","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":900237,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kerr, Benjamin","contributorId":194626,"corporation":false,"usgs":false,"family":"Kerr","given":"Benjamin","email":"","affiliations":[],"preferred":false,"id":900238,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lapides, Dana A.","contributorId":310433,"corporation":false,"usgs":false,"family":"Lapides","given":"Dana","email":"","middleInitial":"A.","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":900239,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Porter, Misty","contributorId":336532,"corporation":false,"usgs":false,"family":"Porter","given":"Misty","email":"","affiliations":[{"id":6773,"text":"University of Kansas","active":true,"usgs":false}],"preferred":false,"id":900240,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Parimalarenganayaki, S.","contributorId":336543,"corporation":false,"usgs":false,"family":"Parimalarenganayaki","given":"S.","email":"","affiliations":[],"preferred":false,"id":900258,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Rohde, Melissa","contributorId":336534,"corporation":false,"usgs":false,"family":"Rohde","given":"Melissa","email":"","affiliations":[{"id":80787,"text":"Rohde Environmental Consulting","active":true,"usgs":false}],"preferred":false,"id":900242,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Wardropper, Chloe 0000-0002-0652-2315","orcid":"https://orcid.org/0000-0002-0652-2315","contributorId":303807,"corporation":false,"usgs":false,"family":"Wardropper","given":"Chloe","email":"","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":900259,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70254577,"text":"70254577 - 2024 - A great tsunami earthquake component of the 1957 Aleutian Islands earthquake","interactions":[],"lastModifiedDate":"2024-06-03T11:08:09.824042","indexId":"70254577","displayToPublicDate":"2024-05-06T06:05:05","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"A great tsunami earthquake component of the 1957 Aleutian Islands earthquake","docAbstract":"<div id=\"abs0001\" class=\"abstract author\"><div id=\"abss0001\"><p id=\"spara011\">The great 1957 Aleutian Islands earthquake ruptured ∼1200 km of the plate boundary along the Aleutian subduction zone and produced a destructive tsunami across Hawaiʻi. Early seismic and tsunami analyses indicated that large megathrust fault slip was concentrated in the western Aleutian Islands, but tsunami waves generated by slip in the west cannot explain the large observed runup in Hawaiʻi far to the southeast. Recently mapped 1957 geologic deposits on eastern Aleutian Islands suggest occurrence of very large nearby slip. Jointly modeling tsunami runup along the eastern Aleutian and Hawaiian Islands together with tide gauge recordings across the Pacific resolves 12-26 m shallow slip along 600 km of the eastern Aleutian Islands in addition to modest, deeper western slip inferred from seismic records. The eastern near-trench slip results in an<span>&nbsp;</span><i>M<sub>W</sub></i><span>&nbsp;</span>8.3-8.6 tsunami earthquake component of the<span>&nbsp;</span><i>M<sub>W</sub></i><span>&nbsp;</span>8.6-8.8 rupture, comparable in size to the adjacent 1946 Aleutian tsunami earthquake to the east. The reexamination of the 1957 rupture confirms the tsunami hazards posed by the eastern Aleutian subduction zone to Hawaiʻi and lays the groundwork for investigation of large prehistoric earthquakes through modeling tsunami runup inferred from stratigraphic observations to constrain their rupture processes.</p></div></div><div id=\"abs0002\" class=\"abstract graphical\"><br></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2024.118691","usgsCitation":"Yamazaki, Y., Lay, T., Cheung, K.F., Witter, R., La Selle, S., and Jaffe, B.E., 2024, A great tsunami earthquake component of the 1957 Aleutian Islands earthquake: Earth and Planetary Science Letters, v. 637, 118691, https://doi.org/10.1016/j.epsl.2024.118691.","productDescription":"118691","ipdsId":"IP-158921","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":488055,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epsl.2024.118691","text":"Publisher Index Page"},{"id":429437,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Aleutian Islands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -156.99642369575776,\n              59.731914492258255\n            ],\n            [\n              -177.7386111957575,\n              59.731914492258255\n            ],\n            [\n              -177.7386111957575,\n              48.54263327217666\n            ],\n            [\n              -156.99642369575776,\n              48.54263327217666\n            ],\n            [\n              -156.99642369575776,\n              59.731914492258255\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"637","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Yamazaki, Yoshiki","contributorId":216792,"corporation":false,"usgs":false,"family":"Yamazaki","given":"Yoshiki","email":"","affiliations":[{"id":39517,"text":"University of Hawaii at Mano","active":true,"usgs":false}],"preferred":false,"id":901951,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lay, Thorne","contributorId":328838,"corporation":false,"usgs":false,"family":"Lay","given":"Thorne","affiliations":[{"id":6948,"text":"UC Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":901952,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cheung, Kwok Fai","contributorId":329690,"corporation":false,"usgs":false,"family":"Cheung","given":"Kwok","email":"","middleInitial":"Fai","affiliations":[{"id":78685,"text":"University of Hawai'i at Manoa","active":true,"usgs":false}],"preferred":false,"id":901953,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Witter, Robert C. 0000-0002-1721-254X rwitter@usgs.gov","orcid":"https://orcid.org/0000-0002-1721-254X","contributorId":4528,"corporation":false,"usgs":true,"family":"Witter","given":"Robert C.","email":"rwitter@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":901954,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"La Selle, SeanPaul 0000-0002-4500-7885 slaselle@usgs.gov","orcid":"https://orcid.org/0000-0002-4500-7885","contributorId":181565,"corporation":false,"usgs":true,"family":"La Selle","given":"SeanPaul","email":"slaselle@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":901955,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jaffe, Bruce E. 0000-0002-8816-5920 bjaffe@usgs.gov","orcid":"https://orcid.org/0000-0002-8816-5920","contributorId":2049,"corporation":false,"usgs":true,"family":"Jaffe","given":"Bruce","email":"bjaffe@usgs.gov","middleInitial":"E.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":901956,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70254415,"text":"70254415 - 2024 - Lessons learned from using wild-caught and captive-reared lesser scaup (Aythya affinis) in captive experiments","interactions":[],"lastModifiedDate":"2024-05-23T12:01:39.172818","indexId":"70254415","displayToPublicDate":"2024-05-04T06:59:58","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10262,"text":"Translational Animal Science","active":true,"publicationSubtype":{"id":10}},"title":"Lessons learned from using wild-caught and captive-reared lesser scaup (Aythya affinis) in captive experiments","docAbstract":"<p class=\"chapter-para\">Waterfowl are housed in captivity for research studies that are infeasible in the wild. Accommodating the unique requirements of semi-aquatic species in captivity while meeting experimental design criteria for research questions can be challenging and may have unknown effects on animal health. Thus, testing and standardizing best husbandry and care practices for waterfowl is necessary to facilitate proper husbandry and humane care while ensuring reliable and repeatable research results. To inform husbandry practices for captive-reared and wild-caught lesser scaup (<i>Aythya affinis</i>; hereafter, scaup), we assessed body mass and fat composition across two different aspects of husbandry, source population (captive-reared or wild caught), and housing densities (birds/m<sup>2</sup>). Our results suggest that housing scaup at low densities (≤0.6 m<sup>2</sup>/bird,<span>&nbsp;</span><i>P</i> = 0.049) relative to other species can minimize negative health effects. Captive-reared scaup were heavier (<i>P</i> = 0.027) with greater body fat (<i>P</i> &lt; 0.001) and exhibited fewer signs of stress during handling than wild-caught scaup. In our experience, scaup which are captive-reared from eggs collected in the wild were better for long-term captivity studies as they maintained body mass between and recovered lost body mass following trials. Researchers would benefit from carefully evaluating the tradeoffs of using short- and long-term captive methods on their research question before designing projects, husbandry practices, and housing facilities for waterfowl.</p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/tas/txae076","usgsCitation":"Beach, C., Jacques, C., Lancaster, J., Osborne, D., Yetter, A., Cole, R.A., Hagy, H., and Fournier, A., 2024, Lessons learned from using wild-caught and captive-reared lesser scaup (Aythya affinis) in captive experiments: Translational Animal Science, v. 8, txae076, 7 p., https://doi.org/10.1093/tas/txae076.","productDescription":"txae076, 7 p.","ipdsId":"IP-161402","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":439667,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/tas/txae076","text":"Publisher Index Page"},{"id":429201,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","noUsgsAuthors":false,"publicationDate":"2024-05-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Beach, C.R","contributorId":336886,"corporation":false,"usgs":false,"family":"Beach","given":"C.R","email":"","affiliations":[{"id":80893,"text":"Department of Biological Sciences, Western Illinois University,","active":true,"usgs":false}],"preferred":false,"id":901298,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jacques, C.N","contributorId":336887,"corporation":false,"usgs":false,"family":"Jacques","given":"C.N","affiliations":[{"id":33955,"text":"Illinois Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":901299,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lancaster, J.D.","contributorId":336888,"corporation":false,"usgs":false,"family":"Lancaster","given":"J.D.","email":"","affiliations":[{"id":80895,"text":"Gulf Coast Joint Venture, Ducks Unlimited, Inc.","active":true,"usgs":false}],"preferred":false,"id":901300,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Osborne, D.C.","contributorId":336889,"corporation":false,"usgs":false,"family":"Osborne","given":"D.C.","email":"","affiliations":[{"id":80897,"text":"College of Forestry, Agriculture, and Natural Resources, University of Arkansas at Monticello, Monticello, Arkansas, 71656","active":true,"usgs":false}],"preferred":false,"id":901301,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yetter, A.P.","contributorId":336890,"corporation":false,"usgs":false,"family":"Yetter","given":"A.P.","email":"","affiliations":[{"id":80898,"text":"Forbes Biological Station–Bellrose Waterfowl Research Center, Illinois Natural History Survey, Prairie Research Institute, University of Illinois at Urbana-Champaign, Havana, Illinois, 62644","active":true,"usgs":false}],"preferred":false,"id":901302,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cole, Rebecca A. 0000-0003-2923-1622 rcole@usgs.gov","orcid":"https://orcid.org/0000-0003-2923-1622","contributorId":2873,"corporation":false,"usgs":true,"family":"Cole","given":"Rebecca","email":"rcole@usgs.gov","middleInitial":"A.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":901303,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hagy, H.M.","contributorId":336891,"corporation":false,"usgs":false,"family":"Hagy","given":"H.M.","email":"","affiliations":[{"id":80899,"text":"National Wildlife Refuge System, United States Fish and Wildlife Service, Stanton, Tennessee, 38069","active":true,"usgs":false}],"preferred":false,"id":901304,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fournier, A.M.V.","contributorId":336892,"corporation":false,"usgs":false,"family":"Fournier","given":"A.M.V.","email":"","affiliations":[{"id":80898,"text":"Forbes Biological Station–Bellrose Waterfowl Research Center, Illinois Natural History Survey, Prairie Research Institute, University of Illinois at Urbana-Champaign, Havana, Illinois, 62644","active":true,"usgs":false}],"preferred":false,"id":901305,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70273820,"text":"70273820 - 2024 - Seismic tomography 2023","interactions":[],"lastModifiedDate":"2026-02-04T15:18:25.7588","indexId":"70273820","displayToPublicDate":"2024-05-03T09:09:44","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Seismic tomography 2023","docAbstract":"<p><span>Seismic tomography is the most abundant source of information about the internal structure of the Earth at scales ranging from a few meters to thousands of kilometers. It constrains the properties of active volcanoes, earthquake fault zones, deep reservoirs and storage sites, glaciers and ice sheets, or the entire globe. It contributes to outstanding societal problems related to natural hazards, resource exploration, underground storage, and many more. The recent advances in seismic tomography are being translated to nondestructive testing, medical ultrasound, and helioseismology. Nearly 50&nbsp;yr after its first successful applications, this article offers a snapshot of modern seismic tomography. Focused on major challenges and particularly promising research directions, it is intended to guide both Earth science professionals and early‐career scientists. The individual contributions by the coauthors provide diverse perspectives on topics that may at first seem disconnected but are closely tied together by a few coherent threads: multiparameter inversion for properties related to dynamic processes, data quality, and geographic coverage, uncertainty quantification that is useful for geologic interpretation, new formulations of tomographic inverse problems that address concrete geologic questions more directly, and the presentation and quantitative comparison of tomographic models. It remains to be seen which of these problems will be considered solved, solved to some extent, or practically unsolvable over the next decade.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120230229","usgsCitation":"Fichtner, A., Kennett, B., Tsai, V.C., Thurber, C., Rodgers, A., Tape, C., Rawlinson, N., Borcherdt, R.D., Lebedev, S., Priestley, K., Morency, C., Bozdag, E., Tromp, J., Ritsema, J., Romanowicz, B., Liu, Q., Golos, E., and Lin, F., 2024, Seismic tomography 2023: Bulletin of the Seismological Society of America, v. 114, no. 3, p. 1185-1213, https://doi.org/10.1785/0120230229.","productDescription":"29 p.","startPage":"1185","endPage":"1213","ipdsId":"IP-157788","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":499626,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/2426716","text":"External Repository"},{"id":499501,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"114","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-05-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Fichtner, Andreas","contributorId":365862,"corporation":false,"usgs":false,"family":"Fichtner","given":"Andreas","affiliations":[{"id":12483,"text":"ETH Zurich","active":true,"usgs":false}],"preferred":false,"id":954926,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kennett, Brian","contributorId":365863,"corporation":false,"usgs":false,"family":"Kennett","given":"Brian","affiliations":[{"id":17939,"text":"The Australian National University","active":true,"usgs":false}],"preferred":false,"id":954927,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tsai, Victor C. 0000-0003-1809-6672","orcid":"https://orcid.org/0000-0003-1809-6672","contributorId":199684,"corporation":false,"usgs":false,"family":"Tsai","given":"Victor","email":"","middleInitial":"C.","affiliations":[{"id":27150,"text":"Seismological Laboratory, California Institute of Technology, Pasadena, CA, USA","active":true,"usgs":false}],"preferred":false,"id":954928,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thurber, Clifford","contributorId":347048,"corporation":false,"usgs":false,"family":"Thurber","given":"Clifford","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":954929,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rodgers, Artie","contributorId":365868,"corporation":false,"usgs":false,"family":"Rodgers","given":"Artie","affiliations":[{"id":87234,"text":"Lawarence Livermore Nat Lab","active":true,"usgs":false}],"preferred":false,"id":954930,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tape, Carl","contributorId":219960,"corporation":false,"usgs":false,"family":"Tape","given":"Carl","email":"","affiliations":[{"id":40098,"text":"Geophysical Institute, 2156 Koyukuk Drive, University of Alaska Fairbanks, Fairbanks, AK 99775","active":true,"usgs":false}],"preferred":false,"id":954931,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rawlinson, Nicholas","contributorId":365869,"corporation":false,"usgs":false,"family":"Rawlinson","given":"Nicholas","affiliations":[{"id":27136,"text":"University of Cambridge","active":true,"usgs":false}],"preferred":false,"id":954932,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Borcherdt, Roger D. 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,{"id":70261210,"text":"70261210 - 2024 - Unscrambling the Proterozoic supercontinent record of northeastern Washington State, USA","interactions":[],"lastModifiedDate":"2024-12-02T15:13:22.777356","indexId":"70261210","displayToPublicDate":"2024-05-03T09:00:53","publicationYear":"2024","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Unscrambling the Proterozoic supercontinent record of northeastern Washington State, USA","docAbstract":"<p><span>The time interval from Supercontinent Nuna assembly in the late Paleoproterozoic to Supercontinent Rodinia breakup in the Neoproterozoic is considered by some geologists to comprise the “Boring Billion,” an interval possibly marked by a slowdown in plate tectonic processes. In northeastern Washington State, USA, similar to much of western Laurentia, early workers generally thought the tectonostratigraphic framework of this interval of geologic time consisted of two major sequences, the (ca. 1480–1380 Ma) Mesoproterozoic Belt Supergroup and unconformably overlying (&lt;720 Ma) Neoproterozoic Windermere Supergroup. However, recent research indicates that strata considered by early workers as Belt Supergroup equivalents are actually younger, and a post-Belt, pre-Windermere record is present within the &lt;1360 Ma Deer Trail Group and &lt;760 Ma Buffalo Hump Formation. Thus, the northeastern Washington region perhaps comprises the most complete stratigraphic record of the “Boring Billion” time interval in the northwestern United States and holds important insights into global Proterozoic supercontinent tectonic processes. In light of these exciting developments, this field guide will address the early historic economic geology and original mapping of these Proterozoic sequences in the northeastern Washington region, and from that foundation explore more recent isotopic provenance data and their regional to global context. Finally, the guide will end with a discussion of remaining questions with a goal of stimulating interest in these relatively understudied, yet important, rocks.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proterozoic Nuna to Pleistocene megafloods: Sharing geology of the inland northwest","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/2024.0069(02)","usgsCitation":"Brennan, D., Box, S.E., and Eyster, A., 2024, Unscrambling the Proterozoic supercontinent record of northeastern Washington State, USA, chap. <i>of</i> Proterozoic Nuna to Pleistocene megafloods: Sharing geology of the inland northwest, v. 69, p. 25-57, https://doi.org/10.1130/2024.0069(02).","productDescription":"34 p.","startPage":"25","endPage":"57","ipdsId":"IP-160767","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":464626,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -118.41897809481472,\n              48.704437980903606\n            ],\n            [\n              -118.41897809481472,\n              48.045446269627746\n            ],\n            [\n              -117.22731964669383,\n              48.045446269627746\n            ],\n            [\n              -117.22731964669383,\n              48.704437980903606\n            ],\n            [\n              -118.41897809481472,\n              48.704437980903606\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"69","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Brennan, Daniel","contributorId":346764,"corporation":false,"usgs":false,"family":"Brennan","given":"Daniel","email":"","affiliations":[{"id":36941,"text":"Montana Bureau of Mines and Geology","active":true,"usgs":false}],"preferred":false,"id":919869,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Box, Stephen E. 0000-0002-5268-8375 sbox@usgs.gov","orcid":"https://orcid.org/0000-0002-5268-8375","contributorId":1843,"corporation":false,"usgs":true,"family":"Box","given":"Stephen","email":"sbox@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":919870,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eyster, Athena","contributorId":346765,"corporation":false,"usgs":false,"family":"Eyster","given":"Athena","email":"","affiliations":[{"id":6936,"text":"Tufts University","active":true,"usgs":false}],"preferred":false,"id":919871,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70255660,"text":"70255660 - 2024 - Combining terrestrial lidar with single line transects to investigate geomorphic change: A case study on the Upper Verde River, Arizona","interactions":[],"lastModifiedDate":"2024-06-27T12:27:55.213471","indexId":"70255660","displayToPublicDate":"2024-05-03T07:24:38","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Combining terrestrial lidar with single line transects to investigate geomorphic change: A case study on the Upper Verde River, Arizona","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif text-s\"><div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0065\">The Upper Verde River in northern Arizona, USA is a vital resource for the wildlife and humans that rely on its waters. We characterize the riparian corridor topography using terrestrial laser scanner (TLS) data from 2021 to 2022. We also quantify geomorphic changes associated with human and climate-driven alterations in river flow and vegetation changes by combining the contemporary lidar surveys with legacy measurements from single line geomorphology transects measured by the United States Forest Service (USFS) in 2009. Seventeen plots along the Upper Verde River were surveyed with the TLS and the data were coregistered within individual plots with a Root Mean Square Error of &lt;0.03&nbsp;m among scan positions. Digital Elevation Models (DEM) were derived for each plot from the TLS data at 10&nbsp;cm resolution and compared to the 2009 USFS cross-section data to quantify elevation changes. In areas with statistically significant change, we detected maximum changes in elevation due to erosion and deposition of −0.37&nbsp;m and&nbsp;+&nbsp;0.97&nbsp;m, respectively. Topographic changes over the 13-year period were predominately aggradation and associated with sediment deposition, which we hypothesize might have resulted from altered river flow and vegetation encroachment. This study also demonstrates a quantitative and statistical methodology to fuse traditional single line cross-section data with contemporary lidar data to quantify geomorphic change. The novel approach demonstrated here is broadly applicable to natural resource managers for integrating and contextualizing legacy topographic data for understanding past, present, and future landscape and habitat changes.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2024.109231","usgsCitation":"Tango, L.L., Sankey, T.T., Leonard, J., Sankey, J., and Kasprak, A., 2024, Combining terrestrial lidar with single line transects to investigate geomorphic change: A case study on the Upper Verde River, Arizona: Geomorphology, v. 457, 109231, 13 p., https://doi.org/10.1016/j.geomorph.2024.109231.","productDescription":"109231, 13 p.","ipdsId":"IP-160469","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":439671,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geomorph.2024.109231","text":"Publisher Index Page"},{"id":430565,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Upper Verde River","volume":"457","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tango, Lauren Lynn 0000-0003-3350-1031","orcid":"https://orcid.org/0000-0003-3350-1031","contributorId":339772,"corporation":false,"usgs":true,"family":"Tango","given":"Lauren","email":"","middleInitial":"Lynn","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":905061,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sankey, Temuulen Ts.","contributorId":332965,"corporation":false,"usgs":false,"family":"Sankey","given":"Temuulen","email":"","middleInitial":"Ts.","affiliations":[{"id":79706,"text":"Northern Arizona University, School of Informatics, Computing and Cyber Systems, Flagstaff, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":905062,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leonard, Jackson","contributorId":298262,"corporation":false,"usgs":false,"family":"Leonard","given":"Jackson","affiliations":[{"id":64519,"text":"Rocky Mountain Research Station, U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":905063,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sankey, Joel B. 0000-0003-3150-4992","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":261248,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":905064,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kasprak, Alan 0000-0001-8184-6128","orcid":"https://orcid.org/0000-0001-8184-6128","contributorId":245742,"corporation":false,"usgs":false,"family":"Kasprak","given":"Alan","affiliations":[{"id":49307,"text":"Current: Utah State University. Former: Southwest Biological Science Center, Grand Canyon Monitoring and Research Center, U.S. Geological Survey, Flagstaff, AZ 86001, USA","active":true,"usgs":false}],"preferred":false,"id":905065,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70254135,"text":"70254135 - 2024 - Linking dissolved organic matter composition to landscape properties in wetlands across the United States of America","interactions":[],"lastModifiedDate":"2024-05-09T12:13:48.585346","indexId":"70254135","displayToPublicDate":"2024-05-03T07:12:35","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1836,"text":"Global Biogeochemical Cycles","active":true,"publicationSubtype":{"id":10}},"title":"Linking dissolved organic matter composition to landscape properties in wetlands across the United States of America","docAbstract":"<div class=\"article-section__content en main\"><p>Wetlands are integral to the global carbon cycle, serving as both a source and a sink for organic carbon. Their potential for carbon storage will likely change in the coming decades in response to higher temperatures and variable precipitation patterns. We characterized the dissolved organic carbon (DOC) and dissolved organic matter (DOM) composition from 12 different wetland sites across the USA spanning gradients in climate, landcover, sampling depth, and hydroperiod for comparison to DOM in other inland waters. Using absorption spectroscopy, parallel factor analysis modeling, and ultra-high resolution mass spectroscopy, we identified differences in DOM sourcing and processing by geographic site. Wetland DOM composition was driven primarily by differences in landcover where forested sites contained greater aromatic and oxygenated DOM content compared to grassland/herbaceous sites which were more aliphatic and enriched in N and S molecular formulae. Furthermore, surface and porewater DOM was also influenced by properties such as soil type, organic matter content, and precipitation. Surface water DOM was relatively enriched in oxygenated higher molecular weight formulae representing HUP<sub>High O/C</sub><span>&nbsp;</span>compounds than porewaters, whose DOM composition suggests abiotic sulfurization from dissolved inorganic sulfide. Finally, we identified a group of persistent molecular formulae (3,489) present across all sites and sampling depths (i.e., the signature of wetland DOM) that are likely important for riverine-to-coastal DOM transport. As anthropogenic disturbances continue to impact temperate wetlands, this study highlights drivers of DOM composition fundamental for understanding how wetland organic carbon will change, and thus its role in biogeochemical cycling.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023GB007917","usgsCitation":"Kurek, M.R., Wickland, K., Nichols, N.A., McKenna, A.M., Anderson, S.M., Dornblaser, M.M., Koupaie-Abyazani, N., Poulin, B., Bansal, S., Fellman, J.B., Druschel, G.K., Bernhardt, E., and Spencer, R., 2024, Linking dissolved organic matter composition to landscape properties in wetlands across the United States of America: Global Biogeochemical Cycles, v. 38, no. 5, e2023GB007917, 21 p., https://doi.org/10.1029/2023GB007917.","productDescription":"e2023GB007917, 21 p.","ipdsId":"IP-156227","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":498856,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023gb007917","text":"Publisher Index Page"},{"id":428587,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-05-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Kurek, Martin R.","contributorId":300567,"corporation":false,"usgs":false,"family":"Kurek","given":"Martin","email":"","middleInitial":"R.","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":900382,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wickland, Kimberly 0000-0002-6400-0590","orcid":"https://orcid.org/0000-0002-6400-0590","contributorId":208471,"corporation":false,"usgs":true,"family":"Wickland","given":"Kimberly","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":900383,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nichols, Natalie A.","contributorId":305955,"corporation":false,"usgs":false,"family":"Nichols","given":"Natalie","email":"","middleInitial":"A.","affiliations":[{"id":12680,"text":"Indiana University-Purdue University","active":true,"usgs":false}],"preferred":false,"id":900384,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McKenna, Amy M.","contributorId":298033,"corporation":false,"usgs":false,"family":"McKenna","given":"Amy","email":"","middleInitial":"M.","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":900385,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, Steven M.","contributorId":336571,"corporation":false,"usgs":false,"family":"Anderson","given":"Steven","email":"","middleInitial":"M.","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":900386,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dornblaser, Mark M.","contributorId":300296,"corporation":false,"usgs":false,"family":"Dornblaser","given":"Mark","email":"","middleInitial":"M.","affiliations":[{"id":36206,"text":"Retired","active":true,"usgs":false}],"preferred":false,"id":900387,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Koupaie-Abyazani, Nikaan","contributorId":336572,"corporation":false,"usgs":false,"family":"Koupaie-Abyazani","given":"Nikaan","email":"","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":900388,"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":900389,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bansal, Sheel 0000-0003-1233-1707 sbansal@usgs.gov","orcid":"https://orcid.org/0000-0003-1233-1707","contributorId":167295,"corporation":false,"usgs":true,"family":"Bansal","given":"Sheel","email":"sbansal@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":900390,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Fellman, Jason B.","contributorId":198741,"corporation":false,"usgs":false,"family":"Fellman","given":"Jason","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":900391,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Druschel, Gregory K.","contributorId":305956,"corporation":false,"usgs":false,"family":"Druschel","given":"Gregory","email":"","middleInitial":"K.","affiliations":[{"id":12680,"text":"Indiana University-Purdue University","active":true,"usgs":false}],"preferred":false,"id":900392,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Bernhardt, Emily S.","contributorId":92143,"corporation":false,"usgs":false,"family":"Bernhardt","given":"Emily S.","affiliations":[{"id":27331,"text":"Duke University, Durham, NC","active":true,"usgs":false}],"preferred":false,"id":900393,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Spencer, Robert G.M.","contributorId":173304,"corporation":false,"usgs":false,"family":"Spencer","given":"Robert G.M.","affiliations":[{"id":16705,"text":"Woods Hole Research Center","active":true,"usgs":false}],"preferred":false,"id":900394,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70254225,"text":"70254225 - 2024 - Stony coral tissue loss disease indirectly alters reef communities","interactions":[],"lastModifiedDate":"2024-05-14T12:11:47.269016","indexId":"70254225","displayToPublicDate":"2024-05-03T07:10:10","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"Stony coral tissue loss disease indirectly alters reef communities","docAbstract":"<div>Many Caribbean coral reefs are near collapse due to various threats. An emerging threat, stony coral tissue loss disease (SCTLD), is spreading across the Western Atlantic and Caribbean. Data from the U.S. Virgin Islands reveal how SCTLD spread has reduced the abundance of susceptible coral and crustose coralline algae and increased cyanobacteria, fire coral, and macroalgae. A Caribbean-wide structural equation model demonstrates versatility in reef fish and associations with rugosity independent of live coral. Model projections suggest that some reef fishes will decline due to SCTLD, with the largest changes on reefs that lose the most susceptible corals and rugosity. Mapping these projected declines in space indicates how the indirect effects of SCTLD range from undetectable to devastating.</div>","language":"English","publisher":"AAAS","doi":"10.1126/sciadv.adk6808","usgsCitation":"Swaminathan, S.D., Lafferty, K.D., Knight, N.S., and Altieri, A.H., 2024, Stony coral tissue loss disease indirectly alters reef communities: Science Advances, v. 10, no. 18, eadk6808, 9 p., https://doi.org/10.1126/sciadv.adk6808.","productDescription":"eadk6808, 9 p.","ipdsId":"IP-157336","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":439672,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.adk6808","text":"Publisher Index Page"},{"id":428687,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Virgin Islands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -65.24519340224724,\n              18.498127283896878\n            ],\n            [\n              -65.24519340224724,\n              17.589334683227378\n            ],\n            [\n              -64.38825980849711,\n              17.589334683227378\n            ],\n            [\n              -64.38825980849711,\n              18.498127283896878\n            ],\n            [\n              -65.24519340224724,\n              18.498127283896878\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"10","issue":"18","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Swaminathan, Sara D.","contributorId":336671,"corporation":false,"usgs":false,"family":"Swaminathan","given":"Sara","email":"","middleInitial":"D.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":900673,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":900674,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Knight, Nicole S.","contributorId":336672,"corporation":false,"usgs":false,"family":"Knight","given":"Nicole","email":"","middleInitial":"S.","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":900675,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Altieri, Andrew H.","contributorId":336673,"corporation":false,"usgs":false,"family":"Altieri","given":"Andrew","email":"","middleInitial":"H.","affiliations":[{"id":80825,"text":"University of Florida; McGill University; Smithsonian Tropical Research Center","active":true,"usgs":false}],"preferred":false,"id":900676,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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