{"pageNumber":"154","pageRowStart":"3825","pageSize":"25","recordCount":184629,"records":[{"id":70255731,"text":"ofr20241012 - 2024 - Report of the River Master of the Delaware River for the period December 1, 2015 - November 30, 2016","interactions":[],"lastModifiedDate":"2026-01-29T17:08:39.677727","indexId":"ofr20241012","displayToPublicDate":"2024-07-16T09:09:00","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":"2024-1012","displayTitle":"Report of the River Master of the Delaware River for the Period December 1, 2015–November 30, 2016","title":"Report of the River Master of the Delaware River for the period December 1, 2015 - November 30, 2016","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 reservoirs owned by New York City to 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 63rd annual report of the River Master of the Delaware River. The report covers the 2016 River Master report year, which is the period from December 1, 2015, to November 30, 2016.</p><p>During the report year, precipitation in the upper Delaware River Basin was 38.6 inches or 87 percent of the long-term average. Combined storage remained high (above 80 percent of combined capacity) for much of the year and did not decline below 80 percent of combined capacity until August 2016. The lowest combined storage was 106.406 billion gallons or 39 percent of combined capacity on November 28, 2016. Delaware River Basin Commission Resolution 2016–07 necessitated a basinwide drought watch on November 23, 2016. The drought watch continued through the remainder of the 2016 report year. Delaware River Master operations during the year were conducted as stipulated by the Decree and the Flexible Flow Management Program. New York City and New Jersey fully complied with the terms of the Decree and, during drought watch conditions, with the Delaware River Basin Commission Resolution 2016–07 terms. 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 126 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/ofr20241012","isbn":"978-1-4113-4551-5","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, 2015–November 30, 2016: U.S. Geological Survey Open-File Report 2024–1012, 105 p., https://doi.org/10.3133/ofr20241012.","productDescription":"xi, 105 p.","numberOfPages":"105","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-144909","costCenters":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"links":[{"id":430729,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1012/images/"},{"id":430728,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1012/ofr20241012.XML","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2024-1012 XML"},{"id":499229,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117124.htm","linkFileType":{"id":5,"text":"html"}},{"id":430727,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241012/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2024-1012 HTML"},{"id":430725,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1012/coverthb.jpg"},{"id":430726,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1012/ofr20241012.pdf","text":"Report","size":"9.43 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024-1012 PDF"}],"country":"United States","state":"Delaware, Maryland, New Jersey, New York, Pennsylvania","otherGeospatial":"Delaware River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -76,\n              40\n            ],\n            [\n              -74,\n              40\n            ],\n            [\n              -74,\n              42.5\n            ],\n            [\n              -76,\n              42.5\n            ],\n            [\n              -76,\n              40\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=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Executive Summary</li><li>Introduction</li><li>Method to Determine Directed Releases From New York City Reservoirs</li><li>Hydrologic Conditions</li><li>Operations</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, 2016</li><li>Appendix 2. Temporary Releases Program for April 28–May 1, 2016, “One Bug” Event</li><li>Appendix 3. Agreement of the Parties to the 1954 Decree of the Supreme Court of the United States—Temporary Thermal Releases Program for Habitat Protection, July 2016</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2024-07-16","noUsgsAuthors":false,"publicationDate":"2024-07-16","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":905492,"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":905493,"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":905494,"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":905495,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mason, Jr. 0000-0002-3998-3468 rrmason@usgs.gov","orcid":"https://orcid.org/0000-0002-3998-3468","contributorId":2090,"corporation":false,"usgs":true,"family":"Mason","suffix":"Jr.","email":"rrmason@usgs.gov","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":905496,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70255882,"text":"fs20243027 - 2024 - The 3D Elevation Program—Supporting Mississippi's economy","interactions":[],"lastModifiedDate":"2024-07-15T16:52:08.385282","indexId":"fs20243027","displayToPublicDate":"2024-07-15T12:34:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-3027","displayTitle":"The 3D Elevation Program—Supporting Mississippi’s Economy","title":"The 3D Elevation Program—Supporting Mississippi's economy","docAbstract":"<h1>Introduction</h1><p>Mississippi has a dispersed population of nearly three million residents in an area of approximately 48,400 square miles and has a favorable climate for agriculture, with abundant precipitation and minimal extreme temperatures. The topography consists mostly of low hills and lowland plains, with the highest elevation about 800 feet above sea level. An exception is the nearly flat Mississippi Alluvial Plain, or “Delta,” in the northwestern part of the State. Agriculture and forestry are Mississippi’s major industries. With 65 percent of its area forested, the State is one of the country’s top producers of lumber and wood-related products. In addition to agriculture and forest resources management, other important economic activities are infrastructure and construction management, flood risk management, and water supply and quality assessment. High-quality elevation data can help to support these activities. Critical applications that meet the State’s management needs depend on light detection and ranging (lidar) data that provide a highly detailed three-dimensional (3D) model of the Earth’s surface and aboveground features.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20243027","usgsCitation":"Heleine, G.F., 2024, The 3D Elevation Program—Supporting Mississippi's economy: U.S. Geological Survey Fact Sheet 2024–3027, 2 p., https://doi.org/10.3133/fs20243027.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-127131","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":430846,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2024/3027/fs20243027.XML","linkFileType":{"id":8,"text":"xml"},"description":"FS 2024-3027 XML"},{"id":430845,"rank":3,"type":{"id":39,"text":"HTML 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 \"}}]}","contact":"<p>Director, <a href=\"https://www.usgs.gov/programs/national-geospatial-program\" data-mce-href=\"https://www.usgs.gov/programs/national-geospatial-program\">National Geospatial Program</a><br>U.S. Geological Survey<br>MS 511<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p><p>Email: <a href=\"mailto:3DEP@usgs.gov\" data-mce-href=\"mailto:3DEP@usgs.gov\">3DEP@usgs.gov</a></p>","tableOfContents":"<ul><li>Introduction</li><li>Water Supply and Quality</li><li>Flood Risk Management</li><li>Forest Resources Management</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2024-07-15","noUsgsAuthors":false,"publicationDate":"2024-07-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Heleine, George 0000-0001-9718-2581 gheleine@usgs.gov","orcid":"https://orcid.org/0000-0001-9718-2581","contributorId":340015,"corporation":false,"usgs":true,"family":"Heleine","given":"George","email":"gheleine@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":905884,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70269006,"text":"70269006 - 2024 - Using integrated step selection to determine effects of predation risk on bison habitat selection and movement","interactions":[],"lastModifiedDate":"2025-07-16T13:13:35.625098","indexId":"70269006","displayToPublicDate":"2024-07-15T09:11:55","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Using integrated step selection to determine effects of predation risk on bison habitat selection and movement","docAbstract":"<p><span>Animal movement is a fundamental mechanism that shapes communities and ecosystems. Ungulates alter the ecosystems they inhabit and understanding their movements and distribution is critical for linking habitat with population dynamics. Predation risk has been shown to strongly influence ungulate movement patterns, such that ungulates may select habitat where predation risk is lower (refugia), adjust movement rates, temporal patterns, or selection of cover variables in areas with greater predation risk. We evaluated potential predation avoidance behavior in a population of plains bison inhabiting the north rim of Grand Canyon National Park (GRCA) and adjacent Kaibab National Forest (KNF). The KNF has year-round hunting managed by Arizona Game and Fish Department, whereas hunting is not allowed in GRCA. Human-maintained water sources on the KNF are particularly important resources for bison wherein they may be exposed to higher predation risk to access these resources. We used 2-h GPS locations for three years from 31 bison (</span><i>n</i><span> = 9 males;&nbsp;</span><i>n</i><span> = 22 females), and integrative step selection analysis to test four hypotheses about the potential for bison to reduce their risk from human predation by avoiding areas of high predation risk; moving faster in areas with high predation risk; entering high-risk areas at night when risk is reduced; and entering high-risk areas in habitats that provide cover (coniferous forest). The highest performing model indicated bison movement was 1.3 times faster per 2-h step interval than in areas with no hunting across all vegetation classes (coniferous forest, shrub, quaking aspen, grass-forb meadow) and across all topography classes (valley, slope, ridge). Bison moved more slowly in grass-forb meadows than all other vegetation types, and in valleys relative to slopes and ridges. Several radio-collared individuals had no GPS locations in KNF for the duration of the study. Bison avoided predation risk using two strategies: moving faster while in the KNF, and fully avoiding high-risk areas by remaining within GRCA. Management that manipulates or reduces timing of hunting seasons may reduce perceived predation risk and encourage bison to distribute into the KNF and across a broader range of available habitat.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.4909","usgsCitation":"Salganek, S., Schoenecker, K., and Terwilliger, M., 2024, Using integrated step selection to determine effects of predation risk on bison habitat selection and movement: Ecosphere, v. 15, no. 7, e4909, 16 p., https://doi.org/10.1002/ecs2.4909.","productDescription":"e4909, 16 p.","ipdsId":"IP-148082","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":492488,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4909","text":"Publisher Index Page"},{"id":492199,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","county":"Coconino County","otherGeospatial":"Kaibab Plateau","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -112.68098786953385,\n              36.999074018413296\n            ],\n            [\n              -112.68098786953385,\n              35.85596339767277\n            ],\n            [\n              -111.67893358079623,\n              35.85596339767277\n            ],\n            [\n              -111.67893358079623,\n              36.999074018413296\n            ],\n            [\n              -112.68098786953385,\n              36.999074018413296\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","issue":"7","noUsgsAuthors":false,"publicationDate":"2024-07-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Salganek, Skye","contributorId":357945,"corporation":false,"usgs":false,"family":"Salganek","given":"Skye","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":942896,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schoenecker, Kathryn A. 0000-0001-9906-911X","orcid":"https://orcid.org/0000-0001-9906-911X","contributorId":202531,"corporation":false,"usgs":true,"family":"Schoenecker","given":"Kathryn A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":942897,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Terwilliger, Miranda L.N.","contributorId":357947,"corporation":false,"usgs":false,"family":"Terwilliger","given":"Miranda L.N.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":942898,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70256181,"text":"70256181 - 2024 - Modeling the potential habitat gained by planting sagebrush in burned landscapes","interactions":[],"lastModifiedDate":"2024-08-01T18:09:27.139004","indexId":"70256181","displayToPublicDate":"2024-07-15T07:03:24","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18016,"text":"Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Modeling the potential habitat gained by planting sagebrush in burned landscapes","docAbstract":"<p>Many revegetation projects are intended to benefit wildlife species. Yet, there are few a priori evaluations that assess the potential efficiency of restoration actions in recovering wildlife habitats. We developed a spatial vegetation–habitat recovery model to gauge the degree to which field planting strategies could be expected to recover multi-factor habitat conditions for wildlife following wildfires. We simulated a wildfire footprint, multiple sagebrush (<i>Artemisia</i> spp.) planting scenarios, and tracked projected vegetation growth for 15 years post-fire. We used a vegetation transition framework to track and estimate the degree to which revegetation could accelerate habitat restoration for a Greater sage-grouse (<i>Centrocercus</i>) population within the Great Basin, western United States. We assessed the amount of habitat 15 years post-fire to estimate the degree to which revegetation could be expected to accelerate habitat restoration. Our results highlight a potential disconnect between the expansive areas required by wide-ranging wildlife such as sage-grouse and the relatively small areas that planting treatments have created. Habitat restorations and planting strategies that are intended to benefit sage-grouse may only speed up localized habitat restoration. This study provides an example of how linked revegetation–habitat modeling approaches can scope the expected return on restoration investment for habitat improvements and support the strategic use of limited restoration resources.</p>","language":"English","publisher":"MDPI","doi":"10.3390/conservation4030024","usgsCitation":"Heinrichs, J., O’Donnell, M.S., Orning, E.K., Pyke, D.A., Ricca, M.A., Coates, P.S., and Aldridge, C.L., 2024, Modeling the potential habitat gained by planting sagebrush in burned landscapes: Conservation, v. 4, no. 3, p. 364-377, https://doi.org/10.3390/conservation4030024.","productDescription":"14 p.","startPage":"364","endPage":"377","ipdsId":"IP-110620","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":439279,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/conservation4030024","text":"Publisher Index Page"},{"id":434928,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9S4WHHV","text":"USGS data release","linkHelpText":"veg_sim: Modeling Greater sage-grouse habitat suitability 15-years post simulated fire event and sagebrush transplanting (2015-2030)"},{"id":431438,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -117.21272893162755,\n              42.005085754708546\n            ],\n            [\n              -117.21272893162755,\n              40.091378407222805\n            ],\n            [\n              -113.98274846287774,\n              40.091378407222805\n            ],\n            [\n              -113.98274846287774,\n              42.005085754708546\n            ],\n            [\n              -117.21272893162755,\n              42.005085754708546\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"4","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-07-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Heinrichs, Julie A. 0000-0001-7733-5034","orcid":"https://orcid.org/0000-0001-7733-5034","contributorId":240888,"corporation":false,"usgs":false,"family":"Heinrichs","given":"Julie A.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":907004,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Donnell, Michael S. 0000-0002-3488-003X odonnellm@usgs.gov","orcid":"https://orcid.org/0000-0002-3488-003X","contributorId":140876,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Michael","email":"odonnellm@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":907005,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Orning, Elizabeth Kari 0000-0002-1376-729X","orcid":"https://orcid.org/0000-0002-1376-729X","contributorId":315548,"corporation":false,"usgs":true,"family":"Orning","given":"Elizabeth","email":"","middleInitial":"Kari","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":907006,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pyke, David A. 0000-0002-4578-8335 david_a_pyke@usgs.gov","orcid":"https://orcid.org/0000-0002-4578-8335","contributorId":3118,"corporation":false,"usgs":true,"family":"Pyke","given":"David","email":"david_a_pyke@usgs.gov","middleInitial":"A.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":907007,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ricca, Mark A. 0000-0003-1576-513X mark_ricca@usgs.gov","orcid":"https://orcid.org/0000-0003-1576-513X","contributorId":139103,"corporation":false,"usgs":true,"family":"Ricca","given":"Mark","email":"mark_ricca@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":907059,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Coates, Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":907060,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":907008,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70256026,"text":"70256026 - 2024 - Probabilistic assessment of postfire debris-flow inundation in response to forecast rainfall","interactions":[],"lastModifiedDate":"2024-07-16T11:45:30.466723","indexId":"70256026","displayToPublicDate":"2024-07-15T06:38:00","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":"Probabilistic assessment of postfire debris-flow inundation in response to forecast rainfall","docAbstract":"<div id=\"abstract\" class=\"abstract sec\"><div class=\"abstract-content show-no-js\"><p id=\"d1e137\">Communities downstream of burned steep lands face increases in debris-flow hazards due to fire effects on soil and vegetation. Rapid postfire hazard assessments have traditionally focused on quantifying spatial variations in debris-flow likelihood and volume in response to design rainstorms. However, a methodology that provides estimates of debris-flow inundation downstream of burned areas based on forecast rainfall would provide decision-makers with information that directly addresses the potential for downstream impacts. We introduce a framework that integrates a 24 h lead-time ensemble precipitation forecast with debris-flow likelihood, volume, and runout models to produce probabilistic maps of debris-flow inundation. We applied this framework to simulate debris-flow inundation associated with the 9&nbsp;January&nbsp;2018 debris-flow event in Montecito, California, USA. When the observed debris-flow volumes were used to drive the probabilistic forecast model, analysis of the simulated inundation probabilities demonstrates that the model is both reliable and sharp. In the fully predictive model, however, in which debris-flow likelihood and volume were computed from the atmospheric model ensemble's predictions of peak 15 min rainfall intensity,<span>&nbsp;</span><span class=\"inline-formula\"><i>I</i><sub>15</sub></span>, the model generally under-forecasted the inundation area. The observed peak<span>&nbsp;</span><span class=\"inline-formula\"><i>I</i><sub>15</sub></span><span>&nbsp;</span>lies in the upper tail of the atmospheric model ensemble spread; thus a large fraction of ensemble members forecast lower<span>&nbsp;</span><span class=\"inline-formula\"><i>I</i><sub>15</sub></span><span>&nbsp;</span>than observed. Using these<span>&nbsp;</span><span class=\"inline-formula\"><i>I</i><sub>15</sub></span><span>&nbsp;</span>values as input to the inundation model resulted in lower-than-observed flow volumes which translated into under-forecasting of the inundation area. Even so, approximately 94 % of the observed inundated area was forecast to have an inundation probability greater than 1 %, demonstrating that the observed extent of inundation was generally captured within the range of outcomes predicted by the model. Sensitivity analyses indicate that debris-flow volume and two parameters associated with debris-flow mobility exert significant influence on inundation predictions, but reducing uncertainty in postfire debris-flow volume predictions will have the largest impact on reducing inundation outcome uncertainty. This study represents a first step toward a near-real-time hazard assessment product that includes probabilistic estimates of debris-flow inundation and provides guidance for future improvements to this and similar model frameworks by identifying key sources of uncertainty.</p></div></div><div id=\"citation-footer\" class=\"sec\"><br></div>","language":"English","publisher":"Copernicus","doi":"10.5194/nhess-24-2359-2024","usgsCitation":"Prescott, A.B., McGuire, L.A., Jun, K., Barnhart, K.R., and Oakley, N.S., 2024, Probabilistic assessment of postfire debris-flow inundation in response to forecast rainfall: Natural Hazards and Earth System Sciences, v. 24, p. 2359-2374, https://doi.org/10.5194/nhess-24-2359-2024.","productDescription":"16 p.","startPage":"2359","endPage":"2374","ipdsId":"IP-152472","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":439280,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/nhess-24-2359-2024","text":"Publisher Index Page"},{"id":431114,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -119.75019791480449,\n              34.53021226184279\n            ],\n            [\n              -119.75019791480449,\n              34.35558316444329\n            ],\n            [\n              -119.46803043876221,\n              34.35558316444329\n            ],\n            [\n              -119.46803043876221,\n              34.53021226184279\n            ],\n            [\n              -119.75019791480449,\n              34.53021226184279\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"24","noUsgsAuthors":false,"publicationDate":"2024-07-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Prescott, A. B.","contributorId":340170,"corporation":false,"usgs":false,"family":"Prescott","given":"A.","email":"","middleInitial":"B.","affiliations":[{"id":81489,"text":"Department of Geosciences, The University of Arizona, Tucson, AZ","active":true,"usgs":false}],"preferred":false,"id":906433,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGuire, L. A.","contributorId":261566,"corporation":false,"usgs":false,"family":"McGuire","given":"L.","email":"","middleInitial":"A.","affiliations":[{"id":52879,"text":"University of Arizona, Department of Geosciences, Tucson, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":906434,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jun, K.-S.","contributorId":340171,"corporation":false,"usgs":false,"family":"Jun","given":"K.-S.","email":"","affiliations":[{"id":81490,"text":"Department of Computer Science, The University of Arizona, Tucson, AZ","active":true,"usgs":false}],"preferred":false,"id":906435,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barnhart, Katherine R. 0000-0001-5682-455X","orcid":"https://orcid.org/0000-0001-5682-455X","contributorId":257870,"corporation":false,"usgs":true,"family":"Barnhart","given":"Katherine","email":"","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":906436,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Oakley, N. S. 0000-0001-5680-9296","orcid":"https://orcid.org/0000-0001-5680-9296","contributorId":236978,"corporation":false,"usgs":false,"family":"Oakley","given":"N.","email":"","middleInitial":"S.","affiliations":[{"id":47583,"text":"Desert Research Institute and Center for Western Weather and Water Extremes","active":true,"usgs":false}],"preferred":false,"id":906437,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70256058,"text":"70256058 - 2024 - Remote sensing of volcano deformation and surface change","interactions":[],"lastModifiedDate":"2024-07-17T12:07:08.404231","indexId":"70256058","displayToPublicDate":"2024-07-14T07:06:11","publicationYear":"2024","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Remote sensing of volcano deformation and surface change","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Volcanic unrest and eruptions are associated with surface deformation and landscape change that can be detected, characterized, and tracked via remote sensing measurements. Subsurface processes, including magma accumulation, withdrawal, and transport, can cause displacements at the surface that are best tracked at subaerial volcanoes with interferometric synthetic aperture radar (InSAR) and Global Navigation Satellite System (GNSS) measurements, although non-volcanic activity, like hydrothermal and tectonic sources, can complicate interpretations. Surface change is often associated with the emplacement of volcanic deposits, which modify the landscape and can experience post-emplacement deformation or morphological changes over time. Measurement of surface topography at volcanoes via remote means is a particularly important capability, given the control that topography exerts on many volcanic hazards and the potential for topographic change measurements to provide information about eruption rates. A much broader set of tools is available to investigate surface change at volcanoes, including not only InSAR and GNSS, but also synthetic aperture radar amplitude data, visible imagery, and lidar, acquired from airborne, ground-based, and satellite platforms. These data can also be used to identify instability of volcanic flanks and even have potential for use in detecting airborne ash plumes. Although hidden from traditional airborne and space-based remote sensing, deformation and surface change associated with submarine volcanism can be investigated with pressure sensors and bathymetric measurements—the below-water remote sensing analogs of GNSS and InSAR, respectively.</p></div></div>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Remote Sensing for Characterization of Geohazards and Natural Resources","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-031-59306-2_9","usgsCitation":"Poland, M., 2024, Remote sensing of volcano deformation and surface change, chap. <i>of</i> Remote Sensing for Characterization of Geohazards and Natural Resources, p. 173-203, https://doi.org/10.1007/978-3-031-59306-2_9.","productDescription":"31 p.","startPage":"173","endPage":"203","ipdsId":"IP-113436","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":431126,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2024-07-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Poland, Michael 0000-0001-5240-6123","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":49920,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":true,"id":906552,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70261249,"text":"70261249 - 2024 - Exploring spatial and temporal symptoms of the freshwater salinization syndrome in a rural to urban watershed","interactions":[],"lastModifiedDate":"2024-12-03T22:47:40.612449","indexId":"70261249","displayToPublicDate":"2024-07-13T16:36:39","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":"Exploring spatial and temporal symptoms of the freshwater salinization syndrome in a rural to urban watershed","docAbstract":"<p><span>The freshwater&nbsp;salinization&nbsp;syndrome (FSS), a concomitant watershed-scale increase in&nbsp;salinity, alkalinity, and major-cation and trace-metal concentrations, over recent decades, has been described for major rivers draining extensive urban areas, yet few studies have evaluated temporal and spatial FSS variations, or causal factors, at the&nbsp;subwatershed&nbsp;scale in mixed-use landscapes. This study examines the potential influence of land-use practices and&nbsp;wastewater treatment&nbsp;plant (WWTP) effluent on the export of major ions and trace metals from the mixed-use East Branch Brandywine Creek watershed in southeastern Pennsylvania, during the 2019 water year. Separate analysis of baseflow and stormflow subsets revealed similar correlations among land-use characteristics and&nbsp;streamwater&nbsp;chemistry. Positive associations between percent impervious surface cover, which ranged from 1.26&nbsp;% to 21.9&nbsp;% for the 13 sites sampled, and concentrations of Ca</span><sup>2+</sup><span>, Mg</span><sup>2+</sup><span>, Na</span><sup>+</sup><span>, and Cl</span><sup>−</sup><span>&nbsp;are consistent with road-salt driven reverse cation exchange and weathering of the built environment. The relative volume of upstream WWTP was correlated with Cu and Zn, which may be derived in part from corroded water-conveyance infrastructure; chloride to sulfate mass ratios (CSMR) ranged from ~6.3 to ~7.7× the 0.5 threshold indicating serious corrosivity potential. Observed exceedances of&nbsp;U.S.&nbsp;Environmental Protection Agency Na</span><sup>+</sup><span>&nbsp;and Cl</span><sup>−</sup><span>&nbsp;drinking water&nbsp;and aquatic life criteria occurred in winter months. Finally, correlations between percent cultivated cropland and As and Pb concentrations may be explained by the persistence of agricultural pesticides that had been used historically. Study results contribute to the understanding of FSS solute origin, fate, and transport in mixed-use watersheds, particularly those in road salt-affected regions. Study results also emphasize the complexity of trace-metal source attribution and explore the potential for FSS solutes to affect human health, aquatic life, and infrastructure.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2024.174266","usgsCitation":"Marks, N.K., Cravotta, C., Rossi, M.L., Silva, C., Kremer, P., and Goldsmith, S.T., 2024, Exploring spatial and temporal symptoms of the freshwater salinization syndrome in a rural to urban watershed: Science of the Total Environment, v. 947, 174266, 17 p., https://doi.org/10.1016/j.scitotenv.2024.174266.","productDescription":"174266, 17 p.","ipdsId":"IP-154332","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":466983,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2024.174266","text":"Publisher Index Page"},{"id":464716,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"East Branch Brandywine Creek watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -75.83342045572547,\n              40.01916009274666\n            ],\n            [\n              -75.72337369661636,\n              39.97446847844611\n            ],\n            [\n              -75.66768738477772,\n              39.96227478065106\n            ],\n            [\n              -75.61332693750671,\n              40.00088069477613\n            ],\n            [\n              -75.6106752083719,\n              40.09425729037662\n            ],\n            [\n              -75.62260798947986,\n              40.11555358035895\n            ],\n            [\n              -75.71011505094027,\n              40.1621792980624\n            ],\n            [\n              -75.83474632029366,\n              40.14090269654602\n            ],\n            [\n              -75.8519825596717,\n              40.078027071145215\n            ],\n            [\n              -75.84535323683392,\n              40.05570674139187\n            ],\n            [\n              -75.83342045572547,\n              40.01916009274666\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"947","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Marks, Nicole K.","contributorId":346882,"corporation":false,"usgs":false,"family":"Marks","given":"Nicole","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":920112,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cravotta, Charles A. III 0000-0003-3116-4684","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":258816,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles A.","suffix":"III","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":920113,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rossi, Marissa Lee 0000-0003-2341-0312","orcid":"https://orcid.org/0000-0003-2341-0312","contributorId":310430,"corporation":false,"usgs":true,"family":"Rossi","given":"Marissa","email":"","middleInitial":"Lee","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":920114,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Silva, Camila","contributorId":346883,"corporation":false,"usgs":false,"family":"Silva","given":"Camila","email":"","affiliations":[],"preferred":false,"id":920115,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kremer, Peleg","contributorId":296521,"corporation":false,"usgs":false,"family":"Kremer","given":"Peleg","email":"","affiliations":[{"id":12766,"text":"Villanova University","active":true,"usgs":false}],"preferred":false,"id":920116,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Goldsmith, Steven T.","contributorId":193458,"corporation":false,"usgs":false,"family":"Goldsmith","given":"Steven","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":920117,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70256033,"text":"70256033 - 2024 - Palaeontological signatures of the Anthropocene are distinct from those of previous epochs","interactions":[],"lastModifiedDate":"2024-07-16T11:56:38.958876","indexId":"70256033","displayToPublicDate":"2024-07-13T06:54:18","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":14252,"text":"Earth Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Palaeontological signatures of the Anthropocene are distinct from those of previous epochs","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0085\">The “Great Acceleration” beginning in the mid-20th century provides the causal mechanism of the Anthropocene, which has been proposed as a new epoch of geological time beginning in 1952&nbsp;CE. Here we identify key parameters and their diagnostic palaeontological signals of the Anthropocene, including the rapid breakdown of discrete biogeographical ranges for marine and terrestrial species, rapid changes to ecologies resulting from climate change and ecological degradation, the spread of exotic foodstuffs beyond their ecological range, and the accumulation of reconfigured forest materials such as medium density fibreboard (MDF) all being symptoms of the Great Acceleration. We show: 1) how Anthropocene successions in North America, South America, Africa, Oceania, Europe, and Asia can be correlated using palaeontological signatures of highly invasive species and changes to ecologies that demonstrate the growing interconnectivity of human systems; 2) how the unique depositional settings of landfills may concentrate the remains of organisms far beyond their geographical range of environmental tolerance; and 3) how a range of settings may preserve a long-lived, unique palaeontological record within post-mid-20th century deposits. Collectively these changes provide a global palaeontological signature that is distinct from all past records of deep-time biotic change, including those of the Holocene.</p></div></div></div><ul id=\"issue-navigation\" class=\"issue-navigation u-margin-s-bottom u-bg-grey1\"></ul>","language":"English","publisher":"Elsevier","doi":"10.1016/j.earscirev.2024.104844","usgsCitation":"Williams, M., Zalasiewicz, J., Barnosky, A.D., Leinfelder, R., Head, M.J., Waters, C.N., McCarthy, F.M., Cearreta, A., Aldridge, D.C., McGann, M., Hamilton, B., Summerhayes, C.P., Syvitski, J., Zinke, J., Cundy, A.B., Fialkiewicz-Koziel, B., McNeill, J., Kuwae, M., Rose, N.L., Turner, S.D., Saito, Y., Wagreich, M., Stegner, M.A., Yasuhara, M., Han, Y., Wrisdale, A., Holmes, R., and Berrio, J.C., 2024, Palaeontological signatures of the Anthropocene are distinct from those of previous epochs: Earth Science Reviews, v. 255, 104844, 25 p., https://doi.org/10.1016/j.earscirev.2024.104844.","productDescription":"104844, 25 p.","ipdsId":"IP-161454","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":439281,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://hdl.handle.net/2031/747d2f06-c53f-4fa2-9d28-33a8616d00c2","text":"Publisher Index Page"},{"id":431117,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"255","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Williams, Mark","contributorId":214696,"corporation":false,"usgs":false,"family":"Williams","given":"Mark","affiliations":[],"preferred":false,"id":906446,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zalasiewicz, Jan","contributorId":297464,"corporation":false,"usgs":false,"family":"Zalasiewicz","given":"Jan","email":"","affiliations":[{"id":40148,"text":"University 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,{"id":70255933,"text":"sir20245059 - 2024 - Groundwater flow model for the Des Moines River alluvial aquifer near Des Moines, Iowa","interactions":[],"lastModifiedDate":"2026-02-03T19:47:34.689565","indexId":"sir20245059","displayToPublicDate":"2024-07-12T12:20:43","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5059","displayTitle":"Groundwater Flow Model for the Des Moines River Alluvial Aquifer near Des Moines, Iowa","title":"Groundwater flow model for the Des Moines River alluvial aquifer near Des Moines, Iowa","docAbstract":"<p>Des Moines Water Works (DMWW) is a regional municipal water utility that provides residential and commercial water resources to about 600,000 customers in Des Moines, Iowa, and surrounding municipalities in central Iowa. DMWW has identified a need for increased water supply and is exploring the potential for expanding groundwater production capabilities in the Des Moines River alluvial aquifer, where it operates two radial collector wells (RCWs). The U.S. Geological Survey, in cooperation with DMWW, completed a study of the Des Moines River alluvial aquifer and interactions of the RCWs with the aquifer; no previously published model has included the existing well locations, which is the focus of this model. A conceptual and numerical groundwater flow model have been developed to characterize the Des Moines River alluvial aquifer under existing conditions, to simulate water levels observed in the RCWs, and to provide publicly accessible hydrologic data and research that advance understanding of the regional hydrologic system and can potentially be used in the future to evaluate groundwater production scenarios. Model performance was assessed by comparing observed and simulated groundwater levels that included water level elevations, water level changes, water level inequality observations, surface water streamflow, and change in surface water volume from upstream to downstream. Water table elevation in the aquifer layers is on average slightly overestimated with average absolute value error less than 1.5 meters at both RCWs and less than 2.5 meters for all observation wells in the alluvial aquifer layers. The model also accurately simulated water tables greater than the RCW design minimum (a water level threshold at which RCW pumping is reduced) in all timesteps for which water level observation data existed. Water table elevation error was higher in other model layers that were not the focus of the study, and the model did not accurately match streamflow targets.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245059","collaboration":"Prepared in cooperation with Des Moines Water Works","usgsCitation":"Bristow, E.L., and Davis, K.W., 2024, Groundwater flow model for the Des Moines River alluvial aquifer near Des Moines, Iowa: U.S. Geological Survey Scientific Investigations Report 2024–5059, 47 p., https://doi.org/10.3133/sir20245059.","productDescription":"Report: ix, 47 p.; 3 Data Releases; 1 Dataset","numberOfPages":"62","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-154246","costCenters":[{"id":36532,"text":"Central Midwest Water Science 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52240</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Conceptual Model and Hydrogeologic Framework</li><li>Numerical Groundwater Flow Model</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2024-07-12","noUsgsAuthors":false,"publicationDate":"2024-07-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Bristow, Emilia L. 0000-0002-7939-166X ebristow@usgs.gov","orcid":"https://orcid.org/0000-0002-7939-166X","contributorId":214538,"corporation":false,"usgs":true,"family":"Bristow","given":"Emilia L.","email":"ebristow@usgs.gov","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":906068,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davis, Kyle W. 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Recent data syntheses have clarified future relative sea-level rise exposure and sensitivity thresholds for drowning. Here, we integrate these advances to estimate when and where rising sea levels could cross thresholds for initiating wetland drowning across the conterminous United States. Our results show that there is much spatial variation in relative sea-level rise rates, which impacts the potential timing and extent of wetlands crossing thresholds. High rates of relative sea-level rise along wetland-rich parts of the Gulf of Mexico and Atlantic coasts highlight areas where wetlands are already drowning or could begin to drown within decades, including large wetland landscapes within the Mississippi River delta, Greater Everglades, Chesapeake Bay, Texas, Georgia, and the Carolinas. Collectively, our results underscore the need to prepare for transformative coastal change.</p></div></div>","language":"English","publisher":"Springer Nature","doi":"10.1038/s43247-024-01537-x","usgsCitation":"Osland, M., Chivoiu, B., Grace, J., Enwright, N., Guntenspergen, G.R., Buffington, K., Thorne, K., Carr, J., Sweet, W.V., and Couvillion, B., 2024, Rising seas could cross thresholds for initiating coastal wetland drowning within decades across much of the United States: Communications Earth & Environment, v. 5, 372, 8 p., https://doi.org/10.1038/s43247-024-01537-x.","productDescription":"372, 8 p.","ipdsId":"IP-158284","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":439282,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s43247-024-01537-x","text":"Publisher Index Page"},{"id":434930,"rank":0,"type":{"id":30,"text":"Data 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0000-0002-1381-0657","orcid":"https://orcid.org/0000-0002-1381-0657","contributorId":204579,"corporation":false,"usgs":true,"family":"Thorne","given":"Karen M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":907044,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Carr, Joel A. 0000-0002-9164-4156 jcarr@usgs.gov","orcid":"https://orcid.org/0000-0002-9164-4156","contributorId":168645,"corporation":false,"usgs":true,"family":"Carr","given":"Joel A.","email":"jcarr@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":907045,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sweet, William V. 0000-0002-0149-8336","orcid":"https://orcid.org/0000-0002-0149-8336","contributorId":212148,"corporation":false,"usgs":false,"family":"Sweet","given":"William","email":"","middleInitial":"V.","affiliations":[{"id":38436,"text":"National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":907046,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Couvillion, Brady 0000-0001-5323-1687","orcid":"https://orcid.org/0000-0001-5323-1687","contributorId":214729,"corporation":false,"usgs":true,"family":"Couvillion","given":"Brady","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":907047,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70257575,"text":"70257575 - 2024 - Epidemiological modeling of SARS-CoV-2 in white-tailed deer (Odocoileus virginianus) reveals conditions for introduction and widespread transmission","interactions":[],"lastModifiedDate":"2024-08-19T11:35:31.903455","indexId":"70257575","displayToPublicDate":"2024-07-12T06:32:50","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5727,"text":"PLOS Computational Biology","active":true,"publicationSubtype":{"id":10}},"title":"Epidemiological modeling of SARS-CoV-2 in white-tailed deer (Odocoileus virginianus) reveals conditions for introduction and widespread transmission","docAbstract":"<div class=\"abstract toc-section abstract-type-\"><div class=\"abstract-content\"><p>Emerging infectious diseases with zoonotic potential often have complex socioecological dynamics and limited ecological data, requiring integration of epidemiological modeling with surveillance. Although our understanding of SARS-CoV-2 has advanced considerably since its detection in late 2019, the factors influencing its introduction and transmission in wildlife hosts, particularly white-tailed deer (<i>Odocoileus virginianus</i>), remain poorly understood. We use a Susceptible-Infected-Recovered-Susceptible epidemiological model to investigate the spillover risk and transmission dynamics of SARS-CoV-2 in wild and captive white-tailed deer populations across various simulated scenarios. We found that captive scenarios pose a higher risk of SARS-CoV-2 introduction from humans into deer herds and subsequent transmission among deer, compared to wild herds. However, even in wild herds, the transmission risk is often substantial enough to sustain infections. Furthermore, we demonstrate that the strength of introduction from humans influences outbreak characteristics only to a certain extent. Transmission among deer was frequently sufficient for widespread outbreaks in deer populations, regardless of the initial level of introduction. We also explore the potential for fence line interactions between captive and wild deer to elevate outbreak metrics in wild herds that have the lowest risk of introduction and sustained transmission. Our results indicate that SARS-CoV-2 could be introduced and maintained in deer herds across a range of circumstances based on testing a range of introduction and transmission risks in various captive and wild scenarios. Our approach and findings will aid One Health strategies that mitigate persistent SARS-CoV-2 outbreaks in white-tailed deer populations and potential spillback to humans.</p></div></div>","language":"English","publisher":"PLoS","doi":"10.1371/journal.pcbi.1012263","usgsCitation":"Rosenblatt, E., Cook, J.D., DiRenzo, G.V., Campbell Grant, E.H., Arce, F., Pepin, K.M., Rudolph, F.J., Runge, M.C., Shriner, S.A., Walsh, D.P., and Mosher, B., 2024, Epidemiological modeling of SARS-CoV-2 in white-tailed deer (Odocoileus virginianus) reveals conditions for introduction and widespread transmission: PLOS Computational Biology, v. 20, no. 7, e1012263, 27 p., https://doi.org/10.1371/journal.pcbi.1012263.","productDescription":"e1012263, 27 p.","ipdsId":"IP-154833","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":439284,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pcbi.1012263","text":"Publisher Index Page"},{"id":432879,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"7","noUsgsAuthors":false,"publicationDate":"2024-07-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Rosenblatt, Elias","contributorId":276324,"corporation":false,"usgs":false,"family":"Rosenblatt","given":"Elias","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":910898,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cook, Jonathan D. 0000-0001-7000-8727","orcid":"https://orcid.org/0000-0001-7000-8727","contributorId":291411,"corporation":false,"usgs":true,"family":"Cook","given":"Jonathan","middleInitial":"D.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":910899,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DiRenzo, Graziella Vittoria 0000-0001-5264-4762","orcid":"https://orcid.org/0000-0001-5264-4762","contributorId":243404,"corporation":false,"usgs":true,"family":"DiRenzo","given":"Graziella","email":"","middleInitial":"Vittoria","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":910900,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":910901,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Arce, Fernando","contributorId":342247,"corporation":false,"usgs":false,"family":"Arce","given":"Fernando","email":"","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":910902,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pepin, Kimberly M","contributorId":343386,"corporation":false,"usgs":false,"family":"Pepin","given":"Kimberly","email":"","middleInitial":"M","affiliations":[{"id":36658,"text":"U.S. Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":910903,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rudolph, F. Javiera","contributorId":342245,"corporation":false,"usgs":false,"family":"Rudolph","given":"F.","email":"","middleInitial":"Javiera","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":910904,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"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":910905,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Shriner, Susan A.","contributorId":168690,"corporation":false,"usgs":false,"family":"Shriner","given":"Susan","email":"","middleInitial":"A.","affiliations":[{"id":13407,"text":"Colorado State Univ.","active":true,"usgs":false}],"preferred":false,"id":910906,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Walsh, Daniel P. 0000-0002-7772-2445","orcid":"https://orcid.org/0000-0002-7772-2445","contributorId":219539,"corporation":false,"usgs":true,"family":"Walsh","given":"Daniel","email":"","middleInitial":"P.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":910907,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Mosher, Brittany A.","contributorId":337881,"corporation":false,"usgs":false,"family":"Mosher","given":"Brittany A.","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":910908,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70255985,"text":"ofr20241037 - 2024 - Comparative toxicity of emulsifiable concentrate and suspension concentrate formulations of 2′,5-dichloro-4′-nitrosalicylanilide ethanolamine salt","interactions":[],"lastModifiedDate":"2024-07-12T00:12:26.323572","indexId":"ofr20241037","displayToPublicDate":"2024-07-11T14:55:12","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":"2024-1037","displayTitle":"Comparative Toxicity of Emulsifiable Concentrate and Suspension Concentrate Formulations of 2′,5-Dichloro-4′-Nitrosalicylanilide Ethanolamine Salt","title":"Comparative toxicity of emulsifiable concentrate and suspension concentrate formulations of 2′,5-dichloro-4′-nitrosalicylanilide ethanolamine salt","docAbstract":"<p>The 2-aminoethanol salt of niclosamide (2′,5-dichloro-4′-nitrosalicylanilide) is a pesticide known as Bayluscide that is used in conjunction with TFM (4-nitro-3-[trifluoromethyl]phenol), also known as 3-trifluoromethyl-4-nitrophenol) to treat tributaries to the Great Lakes infested with invasive parasitic <i>Petromyzon marinus</i> (sea lamprey). Adding 0.5 to 2 percent Bayluscide with TFM can substantially reduce the amount of TFM required to achieve effective control. Currently, an emulsifiable concentrate (EC) formulation of Bayluscide is used in combination with TFM during some stream treatments completed by the Great Lakes Fishery Commission’s binational sea lamprey control program. The Bayluscide EC formulation is highly effective; however, it degrades application tubing, adheres to application equipment, and raises concerns for worker safety because of the solvent in the formulation, N-methyl-2-pyrrolidone.</p><p>We collaborated with a pesticide formulation company to develop a Bayluscide 20-percent suspension concentrate (SC) formulation as a potential replacement for the Bayluscide 20-percent EC formulation. The 20-percent SC formulation was specifically developed using inert ingredients approved for use by the U.S. Environmental Protection Agency and the Health Canada Pest Management Regulatory Agency. Although approved for use, the inclusion of a small quantity of an antimicrobial in the formulation warranted evaluating the toxicological profile to sea lamprey and select nontarget fish species. We evaluated and compared the toxicity of the 20-percent SC formulation to the 20-percent EC formulation using continuous-flow diluter systems and larval sea lamprey and select cold-, cool-, and warm-water fish as test animals. Our results demonstrate comparable toxicological profiles between the two formulations with the 20-percent SC formulation being slightly less toxic to the nontarget species evaluated.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241037","usgsCitation":"Luoma, J.A., Schueller, J.R., Schloesser, N.A., Kirkeeng, C.A., and Wolfe, S.L., 2024, Comparative toxicity of emulsifiable concentrate and suspension concentrate formulations of 2′,5-dichloro-4′-nitrosalicylanilide ethanolamine salt: U.S. Geological Survey Open-File Report 2024–1037, 10 p., https://doi.org/10.3133/ofr20241037.","productDescription":"Report: vii, 10 p.; Data Release","numberOfPages":"22","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-161507","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":430974,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1473X4B","text":"USGS data release","linkHelpText":"Data and code release—Comparative toxicity of emulsifiable concentrate and suspension concentrate formulations of 2′,5-dichloro-4′-nitrosalicylanilide ethanolamine salt"},{"id":430973,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241037/full"},{"id":430971,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1037/ofr20241037.XML"},{"id":430969,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1037/coverthb.jpg"},{"id":430970,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1037/ofr20241037.pdf","text":"Report","size":"1.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024–1037"},{"id":430972,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1037/images/"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/upper-midwest-environmental-sciences-center\" data-mce-href=\"https://www.usgs.gov/centers/upper-midwest-environmental-sciences-center\">Upper Midwest Environmental Sciences Center</a><br>U.S. Geological Survey<br>2630 Fanta Reed Road<br>La Crosse, WI 54603</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Conclusion</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2024-07-11","noUsgsAuthors":false,"publicationDate":"2024-07-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Luoma, James A. 0000-0003-3556-0190 jluoma@usgs.gov","orcid":"https://orcid.org/0000-0003-3556-0190","contributorId":4449,"corporation":false,"usgs":true,"family":"Luoma","given":"James","email":"jluoma@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":906253,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schueller, Justin R. 0000-0002-7102-3889","orcid":"https://orcid.org/0000-0002-7102-3889","contributorId":260706,"corporation":false,"usgs":true,"family":"Schueller","given":"Justin R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":906254,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schloesser, Nicholas 0000-0002-3815-5302","orcid":"https://orcid.org/0000-0002-3815-5302","contributorId":237025,"corporation":false,"usgs":true,"family":"Schloesser","given":"Nicholas","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":906255,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kirkeeng, Courtney A. 0000-0002-7141-1216","orcid":"https://orcid.org/0000-0002-7141-1216","contributorId":237026,"corporation":false,"usgs":true,"family":"Kirkeeng","given":"Courtney","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":906256,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wolfe, Samantha L. 0000-0001-8563-8836","orcid":"https://orcid.org/0000-0001-8563-8836","contributorId":274999,"corporation":false,"usgs":true,"family":"Wolfe","given":"Samantha","email":"","middleInitial":"L.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":906257,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70264427,"text":"70264427 - 2024 - Pliocene–Pleistocene warm-water incursions and water mass changes on the Ross Sea continental shelf (Antarctica) based on foraminifera from IODP Expedition 374","interactions":[],"lastModifiedDate":"2025-03-14T14:36:34.474979","indexId":"70264427","displayToPublicDate":"2024-07-11T09:27:30","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2391,"text":"Journal of Micropalaeontology","active":true,"publicationSubtype":{"id":10}},"title":"Pliocene–Pleistocene warm-water incursions and water mass changes on the Ross Sea continental shelf (Antarctica) based on foraminifera from IODP Expedition 374","docAbstract":"<p><span>International Ocean Discovery Program (IODP) Expedition 374 sailed to the Ross Sea in 2018 to reconstruct paleoenvironments, track the history of key water masses, and assess model simulations that show warm-water incursions from the Southern Ocean led to the loss of marine-based Antarctic ice sheets during past interglacials. IODP Site U1523 (water depth 828 m) is located at the continental shelf break, northeast of Pennell Bank on the southeastern flank of Iselin Bank, where it lies beneath the Antarctic Slope Current (ASC). This site is sensitive to warm-water incursions from the Ross Sea Gyre and modified Circumpolar Deep Water (mCDW) today and during times of past warming climate. Multiple incursions of subpolar or temperate planktic foraminifera taxa occurred at Site U1523 after 3.8 Ma and prior to&nbsp;</span><span class=\"inline-formula\">∼</span><span> 1.82 Ma. Many of these warm-water taxa incursions likely represent interglacials of the latest Early Pliocene and Early Pleistocene, including Marine Isotope Stage (MIS) Gi7 to Gi3 (</span><span class=\"inline-formula\">∼</span><span> 3.72–3.65 Ma), and Early Pleistocene MIS 91 or 90 (</span><span class=\"inline-formula\">∼</span><span> 2.34–2.32 Ma) and MIS 77–67 (</span><span class=\"inline-formula\">∼</span><span> 2.03–1.83 Ma) and suggest warmer-than-present conditions and less ice cover in the Ross Sea. However, a moderately resolved age model based on four key events prohibits us from precisely correlating with Marine Isotope Stages established by the LR04 Stack; therefore, these correlations are best estimates. Diatom-rich intervals during the latest Pliocene at Site U1523 include evidence of anomalously warm conditions based on the presence of subtropical and temperate planktic foraminiferal species in what likely correlates with interglacial MIS G17 (</span><span class=\"inline-formula\">∼</span><span> 2.95 Ma), and a second interval that likely correlates with MIS KM3 (</span><span class=\"inline-formula\">∼</span><span> 3.16 Ma) of the mid-Piacenzian Warm Period. Collectively, these multiple incursions of warmer-water planktic foraminifera provide evidence for polar amplification during super-interglacials of the Pliocene and Early Pleistocene. Higher abundances of planktic and benthic foraminifera during the Mid- to Late Pleistocene associated with interglacials of the MIS 37–31 interval (</span><span class=\"inline-formula\">∼</span><span> 1.23–1.07 Ma), MIS 25 (</span><span class=\"inline-formula\">∼</span><span> 0.95 Ma), MIS 15 (</span><span class=\"inline-formula\">∼</span><span> 0.60 Ma), and MIS 6–5e transition (</span><span class=\"inline-formula\">∼</span><span> 0.133–0.126 Ma) also indicate a reduced ice shelf and relatively warm conditions, including multiple warmer interglacials during the Mid-Pleistocene Transition (MPT). A decrease in sedimentation rate after&nbsp;</span><span class=\"inline-formula\">∼</span><span> 1.78 Ma is followed by a major change in benthic foraminiferal biofacies marked by a decrease in&nbsp;</span><i>Globocassidulina subglobosa</i><span>&nbsp;and a decrease in mud (</span><span class=\"inline-formula\"><i>&lt;</i></span><span> 63 </span><span class=\"inline-formula\">µ</span><span>m) after&nbsp;</span><span class=\"inline-formula\">∼</span><span> 1.5 Ma. Subsequent dominance of&nbsp;</span><i>Trifarina earlandi</i><span>&nbsp;biofacies beginning during MIS 15 (</span><span class=\"inline-formula\">∼</span><span> 600 ka) indicate progressive strengthening of the Antarctic Slope Current along the shelf edge of the Ross Sea during the mid to Late Pleistocene. A sharp increase in foraminiferal fragmentation after the MPT (</span><span class=\"inline-formula\">∼</span><span> 900 ka) and variable abundances of&nbsp;</span><i>T. earlandi</i><span>&nbsp;indicate higher productivity, a stronger but variable ASC during interglacials, and/or corrosive waters, suggesting changes in water masses entering (mCDW) and exiting (High Salinity Shelf Water or Dense Shelf Water) the Ross Sea since the MPT.</span></p>","language":"English","publisher":"Copernicus Publications","doi":"10.5194/jm-43-211-2024","usgsCitation":"Seidenstein, J.L., Leckie, R., McKay, R., De Santis, L., Harwood, D., and IODP Expedition 374 Scientists, 2024, Pliocene–Pleistocene warm-water incursions and water mass changes on the Ross Sea continental shelf (Antarctica) based on foraminifera from IODP Expedition 374: Journal of Micropalaeontology, v. 43, no. 2, p. 211-238, https://doi.org/10.5194/jm-43-211-2024.","productDescription":"28 p.","startPage":"211","endPage":"238","ipdsId":"IP-154696","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":488299,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/jm-43-211-2024","text":"Publisher Index Page"},{"id":483338,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Antarctica, Ross Ice Shelf","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -179.9,\n              -70\n            ],\n            [\n              -179.9,\n              -78\n            ],\n            [\n              -150,\n              -78\n            ],\n            [\n              -150,\n              -70\n            ],\n            [\n              -179.9,\n              -70\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              170,\n              -70\n            ],\n            [\n              170,\n              -78\n            ],\n            [\n              179.9,\n              -78\n            ],\n            [\n              179.9,\n              -70\n            ],\n            [\n              170,\n              -70\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"43","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-07-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Seidenstein, Julia Lynn 0000-0002-0585-1977","orcid":"https://orcid.org/0000-0002-0585-1977","contributorId":290625,"corporation":false,"usgs":true,"family":"Seidenstein","given":"Julia","email":"","middleInitial":"Lynn","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":930738,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leckie, R. Mark","contributorId":352312,"corporation":false,"usgs":false,"family":"Leckie","given":"R. Mark","affiliations":[{"id":34616,"text":"University of Massachusetts Amherst","active":true,"usgs":false}],"preferred":false,"id":930739,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McKay, Robert","contributorId":9546,"corporation":false,"usgs":true,"family":"McKay","given":"Robert","affiliations":[],"preferred":false,"id":930752,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"De Santis, L.","contributorId":96471,"corporation":false,"usgs":true,"family":"De Santis","given":"L.","email":"","affiliations":[],"preferred":false,"id":930753,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harwood, David","contributorId":352313,"corporation":false,"usgs":false,"family":"Harwood","given":"David","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":930740,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"IODP Expedition 374 Scientists","contributorId":352319,"corporation":true,"usgs":false,"organization":"IODP Expedition 374 Scientists","id":930754,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70261605,"text":"70261605 - 2024 - Silver Chub spawning confirmed in the Maumee River, a tributary of Lake Erie","interactions":[],"lastModifiedDate":"2024-12-17T14:54:10.639043","indexId":"70261605","displayToPublicDate":"2024-07-11T08:49:35","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Silver Chub spawning confirmed in the Maumee River, a tributary of Lake Erie","docAbstract":"<h3 id=\"nafm11018-sec-0001-title\" class=\"article-section__sub-title section1\">Objective</h3><p>Biodiversity is declining due to invasive species and other factors that can affect individual species differently. Silver Chub<span>&nbsp;</span><i>Macrhybopsis storeriana</i><span>&nbsp;</span>are declining in their native range, and their conservation status in the Great Lakes ranges from secure to possibly extirpated. Lake Erie once supported a large Silver Chub population until it crashed in the 1950s. Additionally, the spawning behavior and reproductive guild of Silver Chub in Lake Erie is unknown. Our objective was to document Silver Chub spawning in the Maumee River, a Lake Erie tributary.</p><h3 id=\"nafm11018-sec-0002-title\" class=\"article-section__sub-title section1\">Methods</h3><p>Invasive Grass Carp<span>&nbsp;</span><i>Ctenopharyngodon idella</i><span>&nbsp;</span>are known to spawn in the Maumee River during high-flow events from May to July, and the University of Toledo and U.S. Geological Survey regularly sample the lower 24 km for early life stages using paired bongo nets. Contents from paired bongo nets are returned to the laboratory for processing, and a subset of potential Grass Carp eggs are sent for genetic analysis.</p><h3 id=\"nafm11018-sec-0003-title\" class=\"article-section__sub-title section1\">Result</h3><p>On June 8, 2022, several potential Grass Carp eggs were captured at two sites on the Maumee River during a high-flow event. Fifteen potential Grass Carp eggs were sent for genetic analysis, and DNA sequencing revealed that six of these eggs were Silver Chub.</p><h3 id=\"nafm11018-sec-0004-title\" class=\"article-section__sub-title section1\">Discussion</h3><p>This was the first known collection of Silver Chub eggs in a Lake Erie tributary, and our findings indicate that Silver Chub likely belong to the pelagophil reproductive guild. Although Grass Carp and Silver Chub spawn under similar conditions, management actions to control Grass Carp in the Maumee River may be unlikely to affect Silver Chub due to electrofishing settings used in the capture of Grass Carp. The verification of Silver Chub spawning in a Western Erie Basin tributary provides insights into their reproductive biology that could be useful in recovery planning in Lake Erie and throughout the Great Lakes.</p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.11018","usgsCitation":"Brown, R.E., Mayer, C.M., Thompson, N., Hilling, C.D., Roberts, J., and Richter, C.A., 2024, Silver Chub spawning confirmed in the Maumee River, a tributary of Lake Erie: North American Journal of Fisheries Management, v. 44, no. 4, p. 849-856, https://doi.org/10.1002/nafm.11018.","productDescription":"8 p.","startPage":"849","endPage":"856","ipdsId":"IP-160696","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":466984,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nafm.11018","text":"Publisher Index Page"},{"id":465187,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Ohio","otherGeospatial":"Maumee River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -83.61706918500697,\n              41.58428035547584\n            ],\n            [\n              -83.68677030613738,\n              41.58428035547584\n            ],\n            [\n              -83.68677030613738,\n              41.53713542031409\n            ],\n            [\n              -83.61706918500697,\n              41.53713542031409\n            ],\n            [\n              -83.61706918500697,\n              41.58428035547584\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"44","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-07-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Brown, Ryan E.","contributorId":332137,"corporation":false,"usgs":false,"family":"Brown","given":"Ryan","email":"","middleInitial":"E.","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":921167,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mayer, Christine M.","contributorId":203271,"corporation":false,"usgs":false,"family":"Mayer","given":"Christine","email":"","middleInitial":"M.","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":921168,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Nathan 0000-0002-1372-6340 nthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-1372-6340","contributorId":196133,"corporation":false,"usgs":true,"family":"Thompson","given":"Nathan","email":"nthompson@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":921169,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hilling, Corbin David 0000-0003-4040-9516","orcid":"https://orcid.org/0000-0003-4040-9516","contributorId":298946,"corporation":false,"usgs":true,"family":"Hilling","given":"Corbin","email":"","middleInitial":"David","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":921170,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roberts, James 0000-0002-4193-610X jroberts@usgs.gov","orcid":"https://orcid.org/0000-0002-4193-610X","contributorId":5453,"corporation":false,"usgs":true,"family":"Roberts","given":"James","email":"jroberts@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":921171,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Richter, Catherine A. 0000-0001-7322-4206 crichter@usgs.gov","orcid":"https://orcid.org/0000-0001-7322-4206","contributorId":138994,"corporation":false,"usgs":true,"family":"Richter","given":"Catherine","email":"crichter@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":921172,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70256053,"text":"70256053 - 2024 - Sero-epidemiology of Highly Pathogenic Avian Influenza viruses among wild birds in subarctic intercontinental transition zones","interactions":[],"lastModifiedDate":"2024-07-17T13:22:14.276022","indexId":"70256053","displayToPublicDate":"2024-07-11T08:20:23","publicationYear":"2024","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":18008,"text":"Research Square","active":true,"publicationSubtype":{"id":32}},"title":"Sero-epidemiology of Highly Pathogenic Avian Influenza viruses among wild birds in subarctic intercontinental transition zones","docAbstract":"<p><i><strong>Background:</strong></i><span>&nbsp;</span>The geographic expansion and evolution of A/Goose/Guangdong/1/1996(H5N1) (Gs/GD) lineage H5Nx highly pathogenic avian influenza (HPAI) viruses since 1996 have raised awareness of enzootic circulation among migratory birds and the potential for intercontinental transport and spread. Recent Pacific- and Atlantic-route introductions of HPAI to North America were facilitated by avian migration through subarctic zones, specifically Alaska and Iceland. This study aimed to identify recent historical patterns of exposure to HPAI viruses among birds within and migrating through both regions and evaluate how geographic, demographic, and taxonomic differences contribute to exposure risk at two intercontinental staging locations.</p><p><i><strong>Methods:</strong></i><strong><span>&nbsp;</span></strong>During 2010-2019, blood samples were obtained from captured wild migratory seabirds and waterfowl in Alaska and Iceland. All live birds were released following completion of sampling. Sampling date, species, sampling location, and age class was documented for each bird, and sex was documented when possible. Lentiviral pseudoviruses that express the influenza hemagglutinin surface glycoprotein for H5Nx HPAI and H5 low-pathogenicity avian influenza (LPAI) were constructed for use in serological assays to screen for and quantify titers of antibodies against the latter viruses. Data were analyzed to compare (a) categorical baseline ecological traits between Iceland and Alaska, and (b) ecological traits between birds identified to be seropositive and suggestive/seronegative/fully cross-reactive birds to H5Nx HPAI in Iceland and Alaska. Factors associated with seroreactivity to H5Nx HPAI and H5 LPAI were assessed.</p><p><i><strong>Results:</strong></i>The seroprevalence of HPAI among birds in both locations was 7.3% (112/1526). Findings reveal variability in seroprevalence by year, higher rates of exposure to H5 LPAI than H5Nx HPAI overall, and significantly more seropositive and suggestive exposure of birds to H5Nx HPAI in Alaska as compared to Iceland. Geographic, demographic, and taxonomic differences contribute to exposure risk between Alaska and Iceland. Most tested birds were immuno-naïve to HPAI in both locations, which indicates many migratory birds in the subarctic are susceptible to HPAI infection, demonstrating substantial risk for intercontinental transmission between Asia, Europe, and North America.</p><p><i><strong>Conclusions:</strong></i><span>&nbsp;</span>Our findings provide further justification for increased viral and serosurveillance in Alaska and Iceland to monitor subarctic movements of migratory birds and intercontinental transmission dynamics of currently circulating and new strains of HPAI globally.</p>","language":"English","publisher":"Research Square","doi":"10.21203/rs.3.rs-4233804/v2","usgsCitation":"Gass, J.D., Dusek, R.J., Hill, N.J., Borkenhagen, L., Hall, J.S., Hallgrimsson, G.T., Bishop, M., Ramey, A.M., Timothy J. Spivey, Vignisson, S.R., Ragnarsdottir, S.B., Halldorsson, H.P., Jonsson, J.E., Simulynas, A.D., Nutter, F.B., Puryear, W., and Runstadler, J.A., 2024, Sero-epidemiology of Highly Pathogenic Avian Influenza viruses among wild birds in subarctic intercontinental transition zones: Research Square, https://doi.org/10.21203/rs.3.rs-4233804/v2.","productDescription":"27 p.","ipdsId":"IP-165563","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":466985,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.21203/rs.3.rs-4233804/v2","text":"External Repository"},{"id":431127,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gass, Jonathon D.","contributorId":340193,"corporation":false,"usgs":false,"family":"Gass","given":"Jonathon","email":"","middleInitial":"D.","affiliations":[{"id":81502,"text":"Department of Infectious Disease and Global Health, Cummings School of Veterinary Medicine, Tufts University","active":true,"usgs":false}],"preferred":false,"id":906519,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dusek, Robert J. 0000-0001-6177-7479 rdusek@usgs.gov","orcid":"https://orcid.org/0000-0001-6177-7479","contributorId":174374,"corporation":false,"usgs":true,"family":"Dusek","given":"Robert","email":"rdusek@usgs.gov","middleInitial":"J.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":906520,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hill, Nichola J.","contributorId":189563,"corporation":false,"usgs":false,"family":"Hill","given":"Nichola","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":906521,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Borkenhagen, Laura","contributorId":292318,"corporation":false,"usgs":false,"family":"Borkenhagen","given":"Laura","email":"","affiliations":[{"id":62870,"text":"Department of Infectious Disease and Global Health, Tufts University, North Grafton, MA 01536, USA","active":true,"usgs":false}],"preferred":false,"id":906522,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hall, Jeffrey S. 0000-0001-5599-2826 jshall@usgs.gov","orcid":"https://orcid.org/0000-0001-5599-2826","contributorId":2254,"corporation":false,"usgs":true,"family":"Hall","given":"Jeffrey","email":"jshall@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":906523,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hallgrimsson, Gunnar Thor","contributorId":298374,"corporation":false,"usgs":false,"family":"Hallgrimsson","given":"Gunnar","email":"","middleInitial":"Thor","affiliations":[{"id":64545,"text":"Institute of Biology, University of Iceland","active":true,"usgs":false}],"preferred":false,"id":906524,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bishop, Mary Anne","contributorId":258847,"corporation":false,"usgs":false,"family":"Bishop","given":"Mary Anne","affiliations":[{"id":13600,"text":"Prince William Sound Science Center","active":true,"usgs":false}],"preferred":false,"id":906525,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":906526,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Timothy J. Spivey","contributorId":340194,"corporation":false,"usgs":false,"family":"Timothy J. Spivey","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":906527,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Vignisson, Solvi Runar","contributorId":298376,"corporation":false,"usgs":false,"family":"Vignisson","given":"Solvi","email":"","middleInitial":"Runar","affiliations":[{"id":64547,"text":"University of Iceland’s Research Centre in Suðurnes","active":true,"usgs":false}],"preferred":false,"id":906528,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ragnarsdottir, Sunna Bjork","contributorId":298377,"corporation":false,"usgs":false,"family":"Ragnarsdottir","given":"Sunna","email":"","middleInitial":"Bjork","affiliations":[{"id":40188,"text":"Icelandic Institute of Natural History","active":true,"usgs":false}],"preferred":false,"id":906529,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Halldorsson, Halldor Palmar","contributorId":298375,"corporation":false,"usgs":false,"family":"Halldorsson","given":"Halldor","email":"","middleInitial":"Palmar","affiliations":[{"id":64547,"text":"University of Iceland’s Research Centre in Suðurnes","active":true,"usgs":false}],"preferred":false,"id":906530,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Jonsson, Jon Einar","contributorId":156367,"corporation":false,"usgs":false,"family":"Jonsson","given":"Jon","email":"","middleInitial":"Einar","affiliations":[{"id":20328,"text":"University of Iceland, Snæfellsnes Research Centre, Stykkishólmur, Iceland 245.","active":true,"usgs":false}],"preferred":false,"id":906531,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Simulynas, Alexa D.","contributorId":340195,"corporation":false,"usgs":false,"family":"Simulynas","given":"Alexa","email":"","middleInitial":"D.","affiliations":[{"id":81502,"text":"Department of Infectious Disease and Global Health, Cummings School of Veterinary Medicine, Tufts University","active":true,"usgs":false}],"preferred":false,"id":906532,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Nutter, Felicia B.","contributorId":8070,"corporation":false,"usgs":false,"family":"Nutter","given":"Felicia","email":"","middleInitial":"B.","affiliations":[{"id":6936,"text":"Tufts University","active":true,"usgs":false}],"preferred":false,"id":906533,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Puryear, Wendy B.","contributorId":292313,"corporation":false,"usgs":false,"family":"Puryear","given":"Wendy B.","affiliations":[{"id":62870,"text":"Department of Infectious Disease and Global Health, Tufts University, North Grafton, MA 01536, USA","active":true,"usgs":false}],"preferred":false,"id":906534,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Runstadler, Jonathan A.","contributorId":24706,"corporation":false,"usgs":false,"family":"Runstadler","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[{"id":12444,"text":"Massachusetts Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":906535,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70255839,"text":"fs20243018 - 2024 - Assessment of undiscovered conventional oil and gas resources of the Black Sea area, 2023","interactions":[],"lastModifiedDate":"2024-07-11T14:01:08.250698","indexId":"fs20243018","displayToPublicDate":"2024-07-10T11:45:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-3018","displayTitle":"Assessment of Undiscovered Conventional Oil and Gas Resources of the Black Sea Area, 2023","title":"Assessment of undiscovered conventional oil and gas resources of the Black Sea area, 2023","docAbstract":"<p>Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 2.3 billion barrels of oil and 105.5 trillion cubic feet of gas in the Black Sea area.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20243018","programNote":"National and Global Petroleum Assessment","usgsCitation":"Schenk, C.J., Mercier, T.J., Woodall, C.A., Le, P.A., Cicero, A.D., Drake, R.M., II, Ellis, G.S., Finn, T.M., Gardner, M.H., Gelman, S.E., Hearon, J.S., Johnson, B.G., Lagesse, J.H., Leathers-Miller, H.M., Marra, K.R.,  Timm, K.K., and Young, S.S., 2024,  Assessment of undiscovered conventional oil and gas resources of the Black Sea area, 2023: U.S. Geological Survey Fact Sheet 2024–3018, 4 p., https://doi.org/10.3133/fs20243018.","productDescription":"Report: 4 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-153353","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":430811,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"http://doi.org/10.5066/P145GOCC","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project—Black Sea Area: Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables"},{"id":430958,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20243018/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2024-3018"},{"id":430810,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2024/3018/fs20243018.pdf","text":"Report","size":"808 KB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2024-3018"},{"id":430809,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2024/3018/coverthb.jpg"},{"id":430900,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2024/3018/images"},{"id":430901,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2024/3018/fs20243018.xml"}],"country":"Bulgaria, Georgia, Moldova, Romania, Russia, Turkey, Ukraine","otherGeospatial":"Black Sea area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              26.73816007269457,\n              47.35313609234342\n            ],\n            [\n              26.73816007269457,\n              40.266796066832995\n            ],\n            [\n              42.91550600490609,\n              40.266796066832995\n            ],\n            [\n              42.91550600490609,\n              47.35313609234342\n            ],\n            [\n              26.73816007269457,\n              47.35313609234342\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/central-energy-resources-science-center\" data-mce-href=\"https://www.usgs.gov/centers/central-energy-resources-science-center\">Central Energy Resources Science Center</a><br>U.S. Geological Survey<br>Box 25046, MS-939<br>Denver, CO 80225-0046</p>","tableOfContents":"<ul><li>Introduction</li><li>Total Petroleum System and Assessment Units</li><li>Undiscovered Resources Summary</li><li>References Cited</li></ul>","publishedDate":"2024-07-10","noUsgsAuthors":false,"publicationDate":"2024-07-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Schenk, Christopher J. 0000-0002-0248-7305 schenk@usgs.gov","orcid":"https://orcid.org/0000-0002-0248-7305","contributorId":826,"corporation":false,"usgs":true,"family":"Schenk","given":"Christopher","email":"schenk@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":905708,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mercier, Tracey J. 0000-0002-8232-525X","orcid":"https://orcid.org/0000-0002-8232-525X","contributorId":255366,"corporation":false,"usgs":true,"family":"Mercier","given":"Tracey J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":905709,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woodall, Cheryl A. 0000-0002-4844-5768 cwoodall@usgs.gov","orcid":"https://orcid.org/0000-0002-4844-5768","contributorId":194924,"corporation":false,"usgs":true,"family":"Woodall","given":"Cheryl","email":"cwoodall@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":905710,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Le, Phuong A. 0000-0003-2477-509X","orcid":"https://orcid.org/0000-0003-2477-509X","contributorId":255367,"corporation":false,"usgs":true,"family":"Le","given":"Phuong A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":905711,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cicero, Andrea D. 0000-0003-3632-304X","orcid":"https://orcid.org/0000-0003-3632-304X","contributorId":270005,"corporation":false,"usgs":true,"family":"Cicero","given":"Andrea","email":"","middleInitial":"D.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":905712,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Drake, Ronald M. 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,{"id":70255943,"text":"70255943 - 2024 - Drought as an emergent driver of ecological transformation in the twenty-first century","interactions":[],"lastModifiedDate":"2024-09-11T16:18:09.909012","indexId":"70255943","displayToPublicDate":"2024-07-10T10:28:27","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"Drought as an emergent driver of ecological transformation in the twenty-first century","docAbstract":"<p><span>Under climate change, ecosystems are experiencing novel drought regimes, often in combination with stressors that reduce resilience and amplify drought’s impacts. Consequently, drought appears increasingly likely to push systems beyond important physiological and ecological thresholds, resulting in substantial changes in ecosystem characteristics persisting long after drought ends (i.e., ecological transformation). In the present article, we clarify how drought can lead to transformation across a wide variety of ecosystems including forests, woodlands, and grasslands. Specifically, we describe how climate change alters drought regimes and how this translates to impacts on plant population growth, either directly or through drought's interactions with factors such as land management, biotic interactions, and other disturbances. We emphasize how interactions among mechanisms can inhibit postdrought recovery and can shift trajectories toward alternate states. Providing a holistic picture of how drought initiates long-term change supports the development of risk assessments, predictive models, and management strategies, enhancing preparedness for a complex and growing challenge.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/biosci/biae050","usgsCitation":"Moss, W.E., Crausbay, S., Rangwala, I., Wason, J., Trauernicht, C., Stevens-Rumann, C.S., Sala, A., Rottler, C.M., Pederson, G.T., Miller, B.W., Magness, D., Littell, J., Frelich, L., Frazier, A.G., Davis, K., Coop, J., Cartwright, J.M., and Booth, R.K., 2024, Drought as an emergent driver of ecological transformation in the twenty-first century: BioScience, v. 74, no. 8, p. 524-538, https://doi.org/10.1093/biosci/biae050.","productDescription":"15 p.","startPage":"524","endPage":"538","ipdsId":"IP-153234","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":490028,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/biosci/biae050","text":"Publisher Index Page"},{"id":430975,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"74","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-07-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Moss, Wynne Emily 0000-0002-2813-1710","orcid":"https://orcid.org/0000-0002-2813-1710","contributorId":338331,"corporation":false,"usgs":true,"family":"Moss","given":"Wynne","email":"","middleInitial":"Emily","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":906093,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crausbay, Shelley","contributorId":217758,"corporation":false,"usgs":false,"family":"Crausbay","given":"Shelley","affiliations":[{"id":13470,"text":"Conservation Science Partners","active":true,"usgs":false}],"preferred":false,"id":906094,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rangwala, Imtiaz","contributorId":259891,"corporation":false,"usgs":false,"family":"Rangwala","given":"Imtiaz","affiliations":[{"id":52460,"text":"North Central Climate Adaptation Science Center","active":true,"usgs":false}],"preferred":false,"id":906095,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wason, Jay","contributorId":300108,"corporation":false,"usgs":false,"family":"Wason","given":"Jay","email":"","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":906096,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Trauernicht, Clay","contributorId":221125,"corporation":false,"usgs":false,"family":"Trauernicht","given":"Clay","email":"","affiliations":[{"id":40329,"text":"University of Hawai‘i at Mānoa, Department of Natural Resources and Environmental Management","active":true,"usgs":false}],"preferred":false,"id":906097,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stevens-Rumann, Camille S.","contributorId":274486,"corporation":false,"usgs":false,"family":"Stevens-Rumann","given":"Camille","email":"","middleInitial":"S.","affiliations":[{"id":56622,"text":"Forest Restoration Institute, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":906098,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sala, Anna","contributorId":147094,"corporation":false,"usgs":false,"family":"Sala","given":"Anna","email":"","affiliations":[{"id":5103,"text":"The University of Montana, Division of Biological Sciences, Missoula, Montana 59812","active":true,"usgs":false}],"preferred":false,"id":906099,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rottler, Caitlin M.","contributorId":138853,"corporation":false,"usgs":false,"family":"Rottler","given":"Caitlin","email":"","middleInitial":"M.","affiliations":[{"id":12546,"text":"Univ of Wyoming, Department of Botany, 1000 E. University Ave., Laramie, WY 82071; Univ of WY, Program in Ecology, 1000 E. University Ave., Laramie, WY 82071 USA","active":true,"usgs":false}],"preferred":false,"id":906100,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pederson, Gregory T. 0000-0002-6014-1425 gpederson@usgs.gov","orcid":"https://orcid.org/0000-0002-6014-1425","contributorId":3106,"corporation":false,"usgs":true,"family":"Pederson","given":"Gregory","email":"gpederson@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":906101,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Miller, Brian W. 0000-0003-1716-1161","orcid":"https://orcid.org/0000-0003-1716-1161","contributorId":196603,"corporation":false,"usgs":true,"family":"Miller","given":"Brian","email":"","middleInitial":"W.","affiliations":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":906102,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Magness, Dawn","contributorId":147692,"corporation":false,"usgs":false,"family":"Magness","given":"Dawn","affiliations":[{"id":16903,"text":"U.S. Fish and Wildlife Service, Kenai National Wildlife Refuge, Soldotna, AK, 99669, USA","active":true,"usgs":false}],"preferred":false,"id":906103,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Littell, Jeremy S. 0000-0002-5302-8280","orcid":"https://orcid.org/0000-0002-5302-8280","contributorId":205907,"corporation":false,"usgs":true,"family":"Littell","given":"Jeremy","middleInitial":"S.","affiliations":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":906104,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Frelich, Lee","contributorId":225721,"corporation":false,"usgs":false,"family":"Frelich","given":"Lee","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":906105,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Frazier, Abby G.","contributorId":221112,"corporation":false,"usgs":false,"family":"Frazier","given":"Abby","email":"","middleInitial":"G.","affiliations":[{"id":40321,"text":"USDA Forest Service, Pacific Southwest Research Station","active":true,"usgs":false}],"preferred":false,"id":906106,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Davis, Kimberly R.","contributorId":192195,"corporation":false,"usgs":false,"family":"Davis","given":"Kimberly R.","affiliations":[{"id":12444,"text":"Massachusetts Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":906107,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Coop, Jonathan","contributorId":298238,"corporation":false,"usgs":false,"family":"Coop","given":"Jonathan","affiliations":[{"id":38118,"text":"Western Colorado University","active":true,"usgs":false}],"preferred":false,"id":906108,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Cartwright, Jennifer M. 0000-0003-0851-8456 jmcart@usgs.gov","orcid":"https://orcid.org/0000-0003-0851-8456","contributorId":5386,"corporation":false,"usgs":true,"family":"Cartwright","given":"Jennifer","email":"jmcart@usgs.gov","middleInitial":"M.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":true,"id":906109,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Booth, Robert K","contributorId":220202,"corporation":false,"usgs":false,"family":"Booth","given":"Robert","email":"","middleInitial":"K","affiliations":[{"id":16160,"text":"Lehigh University","active":true,"usgs":false}],"preferred":false,"id":906110,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
,{"id":70256063,"text":"70256063 - 2024 - Vegetation-generated turbulence does not impact the erosion of natural cohesive sediment","interactions":[],"lastModifiedDate":"2024-07-18T15:00:37.412497","indexId":"70256063","displayToPublicDate":"2024-07-10T09:59:16","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Vegetation-generated turbulence does not impact the erosion of natural cohesive sediment","docAbstract":"<p><span>Previous studies have demonstrated that vegetation-generated turbulence can enhance erosion rate and reduce the velocity threshold for erosion of non-cohesive sediment. This study considered whether vegetation-generated turbulence had a similar influence on natural cohesive sediment. Cores were collected from a black mangrove forest with aboveground biomass and exposed to stepwise increases in velocity. Erosion was recorded through suspended sediment concentration. For the same velocity, cores with pneumatophores had elevated turbulent kinetic energy compared to bare cores without pneumatophores. However, the vegetation-generated turbulence did not increase bed stress or the rate of resuspension, relative to bare cores. It was hypothesized that the short time-scale fluctuations associated with vegetation-generated turbulence were not of sufficient duration to break cohesion between grains, explaining why elevated levels of turbulence associated with the pneumatophores had no impact on the erosion threshold or rate.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024GL109730","usgsCitation":"Deitrick, A.R., Ralston, D.K., Esposito, C.R., Baustian, M.M., Beltran Burgos, M., Courtois, A.J., and Nepf, H.M., 2024, Vegetation-generated turbulence does not impact the erosion of natural cohesive sediment: Geophysical Research Letters, v. 51, no. 14, e2024GL109730, 10 p., https://doi.org/10.1029/2024GL109730.","productDescription":"e2024GL109730, 10 p.","ipdsId":"IP-157158","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":439285,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024gl109730","text":"Publisher Index Page"},{"id":431220,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","city":"Port Fourchon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -90.21841177935528,\n              29.15\n            ],\n            [\n              -90.27,\n              29.15\n            ],\n            [\n              -90.27,\n              29.09003621081129\n            ],\n            [\n              -90.21841177935528,\n              29.09003621081129\n            ],\n            [\n              -90.21841177935528,\n              29.15\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"51","issue":"14","noUsgsAuthors":false,"publicationDate":"2024-07-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Deitrick, Autumn R.","contributorId":340204,"corporation":false,"usgs":false,"family":"Deitrick","given":"Autumn","email":"","middleInitial":"R.","affiliations":[{"id":81503,"text":"Department of Civil and Environmental Engineering, MIT-WHOI Joint Program in Oceanography/Applied Ocean Science and Engineering, Massachusetts Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":906565,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ralston, David K. 0000-0002-0774-3101","orcid":"https://orcid.org/0000-0002-0774-3101","contributorId":195909,"corporation":false,"usgs":false,"family":"Ralston","given":"David","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":906566,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Esposito, Christopher R.","contributorId":340205,"corporation":false,"usgs":false,"family":"Esposito","given":"Christopher","email":"","middleInitial":"R.","affiliations":[{"id":81504,"text":"The Water Institute","active":true,"usgs":false}],"preferred":false,"id":906567,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baustian, Melissa Millman 0000-0003-2467-2533","orcid":"https://orcid.org/0000-0003-2467-2533","contributorId":304015,"corporation":false,"usgs":true,"family":"Baustian","given":"Melissa","email":"","middleInitial":"Millman","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":906568,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beltran Burgos, Maricel","contributorId":340206,"corporation":false,"usgs":false,"family":"Beltran Burgos","given":"Maricel","email":"","affiliations":[{"id":81504,"text":"The Water Institute","active":true,"usgs":false}],"preferred":false,"id":906569,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Courtois, Andrew J.","contributorId":340207,"corporation":false,"usgs":false,"family":"Courtois","given":"Andrew","email":"","middleInitial":"J.","affiliations":[{"id":81504,"text":"The Water Institute","active":true,"usgs":false}],"preferred":false,"id":906570,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nepf, Heidi M.","contributorId":173323,"corporation":false,"usgs":false,"family":"Nepf","given":"Heidi","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":906571,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70256416,"text":"70256416 - 2024 - A conceptual framework to assess post-wildfire water quality: State of the science and knowledge gaps","interactions":[],"lastModifiedDate":"2024-08-01T14:20:43.087876","indexId":"70256416","displayToPublicDate":"2024-07-10T09:19:31","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"A conceptual framework to assess post-wildfire water quality: State of the science and knowledge gaps","docAbstract":"<p><span>Wildfire substantially alters aquatic ecosystems by inducing moderate to catastrophic physical and chemical changes. However, the relations of environmental and watershed variables that drive those effects are complex. We present a Driver-Factor-Stressor-Effect (DFSE) conceptual framework to assess the current state of the science related to post-wildfire water-quality. We reviewed 64 peer-reviewed papers using the DFSE framework to identify drivers, factors, stressors, and effects associated with each study. A total of five drivers were identified and ranked according to their frequency of occurrence in the literature: atmospheric processes&nbsp;&gt;&nbsp;fire characteristics&nbsp;&gt;&nbsp;ecologic processes and characteristics&nbsp;&gt;&nbsp;land surface characteristics&nbsp;&gt;&nbsp;soil characteristics. Commonly reported stressors include increased nutrients, runoff, and sediment transport. Furthermore, although several different factors have been used at least once to explain water-quality effects, relatively few factors outside of precipitation and fire characteristics are frequently studied. We identified several gaps indicating the need for long-term monitoring, multi-factor studies, consideration of organic contaminants, consideration of groundwater, and inclusion of soil characteristics. This assessment expands on other reviews and meta-analyses by exploring causal linkages between influential variables and overall effects in post-wildfire watersheds. Information gathered from our assessment and the framework itself can be used to inform future monitoring plans and as a guide for modeling efforts focused on better understanding specific processes or to mitigate potential risks of post-wildfire water quality.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023WR036260","usgsCitation":"Elliott, S.M., Hornberger, M.I., Rosenberry, D.O., Frus, R., and Webb, R.M., 2024, A conceptual framework to assess post-wildfire water quality: State of the science and knowledge gaps: Water Resources Research, v. 60, no. 7, e2023WR036260, 20 p.; Data Release, https://doi.org/10.1029/2023WR036260.","productDescription":"e2023WR036260, 20 p.; Data Release","ipdsId":"IP-156361","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":439286,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023wr036260","text":"Publisher Index Page"},{"id":434931,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P97JZOVY","text":"USGS data release","linkHelpText":"Annotated bibliography of 64 papers reviewed and summarized in a conceptual framework to assess post-wildfire water quality"},{"id":432026,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"60","issue":"7","noUsgsAuthors":false,"publicationDate":"2024-07-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Elliott, Sarah M. 0000-0002-1414-3024 selliott@usgs.gov","orcid":"https://orcid.org/0000-0002-1414-3024","contributorId":1472,"corporation":false,"usgs":true,"family":"Elliott","given":"Sarah","email":"selliott@usgs.gov","middleInitial":"M.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":907311,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hornberger, Michelle I. 0000-0002-7787-3446 mhornber@usgs.gov","orcid":"https://orcid.org/0000-0002-7787-3446","contributorId":1037,"corporation":false,"usgs":true,"family":"Hornberger","given":"Michelle","email":"mhornber@usgs.gov","middleInitial":"I.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":907312,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosenberry, Donald O. 0000-0003-0681-5641 rosenber@usgs.gov","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":1312,"corporation":false,"usgs":true,"family":"Rosenberry","given":"Donald","email":"rosenber@usgs.gov","middleInitial":"O.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":907313,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frus, Rebecca J. 0000-0002-2435-7202","orcid":"https://orcid.org/0000-0002-2435-7202","contributorId":340187,"corporation":false,"usgs":false,"family":"Frus","given":"Rebecca J.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":907314,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Webb, Richard M. 0000-0001-9531-2207 rmwebb@usgs.gov","orcid":"https://orcid.org/0000-0001-9531-2207","contributorId":1570,"corporation":false,"usgs":true,"family":"Webb","given":"Richard","email":"rmwebb@usgs.gov","middleInitial":"M.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":907315,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70257502,"text":"70257502 - 2024 - Same streams in a different forest? Investigations of forest harvest legacies and future trajectories across 30 years of stream habitat monitoring on the Tongass National Forest, Alaska","interactions":[],"lastModifiedDate":"2024-09-09T16:16:56.834676","indexId":"70257502","displayToPublicDate":"2024-07-10T09:07:06","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Same streams in a different forest? Investigations of forest harvest legacies and future trajectories across 30 years of stream habitat monitoring on the Tongass National Forest, Alaska","docAbstract":"<p><span>The effects of timber harvest practices and climate change have altered forest ecosystems in southeast Alaska. However, quantification of patterns and trends in stream habitats associated with these forests is limited owing to a paucity of data available in remote watersheds. Here, we analyzed a 30-year dataset from southeast Alaska's Tongass National Forest to understand how these factors shape stream habitats. First, we examined differences between broad management classes (i.e., harvested and non-harvested) that have been used to guide stream channel restoration goals. Second, we assessed associations between intrinsic landscape characteristics, watershed management, and timber harvest legacies on aquatic habitat metrics. And third, we examined trends in stream habitat metrics over the duration of the dataset to anticipate future management challenges for these systems. Small effect sizes for some harvest-related predictors suggest that some stream habitat metrics, such as pool densities, are less responsive than others, and management practices such as protecting riparian buffers as well as post-harvest restoration may help conserve fish habitats. Large wood densities increased with time since harvest at sites harvested &gt;50 years ago, indicating that multiple decades of post-harvest forest regrowth may contribute large wood to streams (possibly alder), but that it is not enough time for old-growth trees (e.g., spruce, Picea, or hemlock, Tsuga,), classified as key wood, to develop and be delivered to streams. The declining trend in key wood (i.e., the largest size class of wood) regardless of management history may reflect that pre-harvest legacy old-growth trees are declining along streams, with low replacement. The introduction of wood to maintain complex stream habitats may fill this gap until riparian stands again contribute structural key wood to streams. Trend analyses indicate an increasing spatial extent of undercut banks that may also be influenced by shifting hydrologic regimes under climate change.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0301723","usgsCitation":"Moore, M.J., Flitcroft, R., Tucker, E., Prussian, K.K., and Claeson, S.M., 2024, Same streams in a different forest? Investigations of forest harvest legacies and future trajectories across 30 years of stream habitat monitoring on the Tongass National Forest, Alaska: PLoS ONE, v. 19, no. 7, e0301723, 28 p., https://doi.org/10.1371/journal.pone.0301723.","productDescription":"e0301723, 28 p.","ipdsId":"IP-146418","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":439287,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1371/journal.pone.0301723","text":"Publisher Index Page"},{"id":433632,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Tongass National Forest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -120.79598611853271,\n              35.785590501974994\n            ],\n            [\n              -120.79598611853271,\n              35.758103908925094\n            ],\n            [\n              -120.7544854283608,\n              35.758103908925094\n            ],\n            [\n              -120.7544854283608,\n              35.785590501974994\n            ],\n            [\n              -120.79598611853271,\n              35.785590501974994\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -136.02998750758678,\n              57.464783614185876\n            ],\n            [\n              -136.02998750758678,\n              55.846134928392786\n            ],\n            [\n              -133.47293766914498,\n              55.846134928392786\n            ],\n            [\n              -133.47293766914498,\n              57.464783614185876\n            ],\n            [\n              -136.02998750758678,\n              57.464783614185876\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"19","issue":"7","noUsgsAuthors":false,"publicationDate":"2024-07-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Moore, Michael J. 0000-0002-5495-7049","orcid":"https://orcid.org/0000-0002-5495-7049","contributorId":304258,"corporation":false,"usgs":true,"family":"Moore","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":910552,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flitcroft, R.","contributorId":342974,"corporation":false,"usgs":false,"family":"Flitcroft","given":"R.","email":"","affiliations":[{"id":81962,"text":"Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":910553,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tucker, E.","contributorId":342975,"corporation":false,"usgs":false,"family":"Tucker","given":"E.","email":"","affiliations":[{"id":81965,"text":"Tongass National Forest","active":true,"usgs":false}],"preferred":false,"id":910554,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prussian, K. K.","contributorId":204860,"corporation":false,"usgs":false,"family":"Prussian","given":"K.","email":"","middleInitial":"K.","affiliations":[{"id":7134,"text":"USFS","active":true,"usgs":false}],"preferred":false,"id":910555,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Claeson, S. M.","contributorId":342976,"corporation":false,"usgs":false,"family":"Claeson","given":"S.","email":"","middleInitial":"M.","affiliations":[{"id":81962,"text":"Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":910556,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70261955,"text":"70261955 - 2024 - Diet of Myotis ciliolabrum from six sites in the southwestern United States","interactions":[],"lastModifiedDate":"2025-01-06T14:59:58.015122","indexId":"70261955","displayToPublicDate":"2024-07-10T08:52:52","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Diet of <i>Myotis ciliolabrum</i> from six sites in the southwestern United States","title":"Diet of Myotis ciliolabrum from six sites in the southwestern United States","docAbstract":"<p><span>With bat populations declining in many parts of the world, detailed life history information will be critical for assessing vulnerabilities of bat populations and associated trophic effects.&nbsp;</span><i>Myotis ciliolabrum</i><span>&nbsp;(western small-footed bat) is a species of insectivorous bat distributed from the Great Plains to the Pacific Coast and from British Columbia to Central Mexico. The species is spottily distributed within this wider range but is locally abundant in areas containing appropriate rocky habitat. Despite&nbsp;</span><i>M. ciliolabrum</i><span>&nbsp;being relatively common, little information is available about its feeding ecology. Earlier studies have suggested that skull morphology can be used to determine whether insectivorous bats select for soft- or hard-bodied prey, but we hypothesized that&nbsp;</span><i>M. ciliolabrum</i><span>&nbsp;may feed opportunistically on a variety of insect types. To test this hypothesis, we examined the feeding habits of western small-footed bats captured during 2000–2022 at 6 national parks and 1 national conservation area across the Southwest. Visual analysis of prey remains in guano revealed that western small-footed bats within our study area consumed insects belonging to 7 orders (Lepidoptera, Coleoptera, Hymenoptera, Hemiptera, Neuroptera, Diptera, and Odonata) and 20 families. Diet varied over time and across geographic space, though we observed a general trend in which the orders Lepidoptera, Coleoptera, and Hymenoptera were consumed at the highest volumes. This varied diet indicates opportunistic feeding in which&nbsp;</span><i>M. ciliolabrum</i><span>&nbsp;makes use of locally abundant resources.</span></p>","language":"English","publisher":"Brigham Young University","doi":"10.3398/064.084.0205","usgsCitation":"Loehn, A., Sparks, D.W., and Valdez, E.W., 2024, Diet of Myotis ciliolabrum from six sites in the southwestern United States: Western North American Naturalist, v. 84, no. 2, p. 210-218, https://doi.org/10.3398/064.084.0205.","productDescription":"9 p.","startPage":"210","endPage":"218","ipdsId":"IP-145936","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":465666,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, New Mexico, Texas","otherGeospatial":"Capulin Volcano National Monument, Chaco Culture National Historical Park, El Malpais National Monument and El Malpais National Conservation Area, Guadalupe Mountains National Park, Mesa Verde National Park, Pecos National Historical Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -108.74441287180503,\n              37.54721127749278\n            ],\n            [\n              -108.74441287180503,\n              31.40819797728362\n            ],\n            [\n              -102.61675201918152,\n              31.40819797728362\n            ],\n            [\n              -102.61675201918152,\n              37.54721127749278\n            ],\n            [\n              -108.74441287180503,\n              37.54721127749278\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"84","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Loehn, Ashley E","contributorId":347763,"corporation":false,"usgs":false,"family":"Loehn","given":"Ashley E","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":922399,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sparks, Dale W.","contributorId":171601,"corporation":false,"usgs":false,"family":"Sparks","given":"Dale","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":922400,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Valdez, Ernest W. 0000-0002-7262-3069 ernie@usgs.gov","orcid":"https://orcid.org/0000-0002-7262-3069","contributorId":3600,"corporation":false,"usgs":true,"family":"Valdez","given":"Ernest","email":"ernie@usgs.gov","middleInitial":"W.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":922401,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70255973,"text":"70255973 - 2024 - Decoding paleomire conditions of Paleogene superhigh-organic-sulfur coals","interactions":[],"lastModifiedDate":"2024-07-11T13:45:51.459538","indexId":"70255973","displayToPublicDate":"2024-07-10T08:38:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Decoding paleomire conditions of Paleogene superhigh-organic-sulfur coals","docAbstract":"<p><span>Superhigh-organic‑sulfur (SHOS) coals (coals with organic sulfur content &gt;4&nbsp;wt%) are unique coal deposits found at a few notable locations in the world. Specific peat accumulation and preservation conditions must be met to form SHOS coals. Organic sulfur is a major constituent of such coals, and it may have various sources depending on the prevailing paleomire conditions. Understanding such paleomire conditions sheds light on the formation mechanisms of SHOS coals. This investigation decodes the paleomire conditions of the Paleogene SHOS coals from Meghalaya, India, using sulfur isotopic compositions (</span><i>δ</i><sup>34</sup><span>S) of organic sulfur (</span><i>δ</i><sup>34</sup><span>S</span><sub>OS</sub><span>) and pyritic sulfur (</span><i>δ</i><sup>34</sup><span>S</span><sub>Py</sub><span>) along with organic petrography, pyrite morphology and trace element ratios. Thirty coal samples were collected from the Jaintia Hills in the east, Khasi Hills in the middle, and Garo Hills in the west of Meghalaya. The organic sulfur content in the Garo, Khasi, and Jaintia coals varies from 1.0 to 3.3&nbsp;wt%, 1.4 to 13.8&nbsp;wt%, and 1.0 to 7.2&nbsp;wt%, respectively. Further, after separation from pyritic sulfur and sulfate sulfur phases, the organic sulfur content ranges from 54.4 to 69.2%, 63.8 to 79.9%, and 59.3 to 73.8%, in the Garo, Khasi, and Jaintia Hills, respectively, suggesting the SHOS nature of these coal samples. The&nbsp;</span><i>δ</i><sup>34</sup><span>S</span><sub>Py</sub><span>&nbsp;varies from −29.3 ‰ to +5.7 ‰, −21.3 ‰ to +27.3 ‰, and&nbsp; −12.1 ‰ to −4.3 ‰, in the Jaintia, Khasi, and Garo Hills, respectively, while the&nbsp;</span><i>δ</i><sup>34</sup><span>S</span><sub>OS</sub><span>&nbsp;fluctuates from −4.6 ‰ to +3.7 ‰, −9.3 ‰ to +7.8 ‰, and&nbsp;−&nbsp;9.0 ‰ to −5.0 ‰, respectively. The&nbsp;</span><i>δ</i><sup>34</sup><span>S values of pyrite and organic sulfur (OS) in Jaintia coals are&nbsp;</span><sup>34</sup><span>S depleted compared to seawater sulfate (+22 ‰), leading to fractionations in the range of −51.3 ‰ to −16.3 ‰ (mean&nbsp;−&nbsp;31.6 ‰) and&nbsp;−&nbsp;26.6 ‰ to −18.3 ‰ (mean&nbsp;−&nbsp;23.1 ‰) for pyritic and organic sulfur (OS), respectively. Pyrite in Khasi coals show a relatively heavier&nbsp;</span><i>δ</i><sup>34</sup><span>S composition averaging at −20.5 ‰, whereas organic sulfur (OS) isotope compositions range from −31.3 ‰ to −14.2 ‰ with a mean of −22.6 ‰. Pyrite and OS in the Garo coals are depleted compared to seawater sulfate. Isotope variations in the Jaintia, Khasi, and Garo coals indicate microbial sulfate reduction (MSR) of seawater sulfate. Large isotopic fractionations between Eocene seawater sulfate and pyritic sulfur (</span><i>Δ</i><sup>34</sup><span>S</span><sub>SO4Eocene – pyrite</sub><span>&nbsp;=&nbsp;up to −51.3 ‰; mean&nbsp;−&nbsp;31.6 ‰) in Jaintia coals indicate their possible formation in the water column/near the sediment-seawater interface (open system) and also hint toward dissimilatory sulfate reduction pathways that prevailed under anoxic redox conditions. However, mean values of&nbsp;</span><i>Δ</i><sup>34</sup><span>S</span><sub>SO4Eocene – pyrite</sub><span>&nbsp;(−20.5 ‰) in the Khasi coals imply pyrite formation deeper in the sediments (more closed system) under dysoxic conditions. The dominance of OS over pyritic sulfur, framboidal pyrite, and its microcrystal size distributions in Jaintia coals may suggest syngenetic pyrite formation in open water reducing/anoxic conditions under paralic environments. Elevated Sr/Ba and U/Th values in these coals further confirm the anoxic conditions. Nevertheless, the presence of euhedral pyrite with the alleviated pyrite framboids in the Khasi coals and their complete absence in the Garo coals may suggest dysoxic-suboxic and suboxic-oxic depositional conditions, respectively. The isotopic signatures of the Garo coals suggest sulfur contribution from the parent paleobiota and MSR under a freshwater-oxic environment. Insignificant fractionations between&nbsp;</span><i>δ</i><sup>34</sup><span>S</span><sub>Py</sub><span>&nbsp;and&nbsp;</span><i>δ</i><sup>34</sup><span>S</span><sub>OS</sub><span>&nbsp;indicate limited iron and sulfate availability for additional sulfur cycling and disproportionation reactions, typical of oxic conditions. The absence of framboidal pyrite, elevated sulfate concentration, and mean Sr/Ba and U/Th values of 0.5 and 0.3, respectively, further suggest the freshwater peat deposition in the Garo Hills under limnotelmatic to telmatic freshwater conditions. Moreover, high inertinite content (I</span><sub>mmf</sub><span>&nbsp;=&nbsp;9.77–33.16&nbsp;vol%), possibly induced by atmospheric peat exposure, supports the interpretation of suboxic-oxic paleomire conditions in Garo Hills. Gradually decreasing mineral matter content from Jaintia (mean 13.6&nbsp;vol%) to Garo coals (mean 7.4&nbsp;vol%) additionally projects a transition from mesotrophic brackish to freshwater limnotelmatic environment, complementing the shift in the paleomire condition from eastern (Jaintia) to western (Garo) Meghalayan Hills.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2024.104559","usgsCitation":"Adsul, T., O’Beirne, M.D., Fike, D., Ghosh, S., Werne, J.P., Gilhooly, W., Hackley, P.C., Hatcherian, J.J., Philip, B., Hazra, B., Bhattachryya, S., Konar, R., and Varma, A.K., 2024, Decoding paleomire conditions of Paleogene superhigh-organic-sulfur coals: International Journal of Coal Geology, v. 290, 104559, 19 p., https://doi.org/10.1016/j.coal.2024.104559.","productDescription":"104559, 19 p.","ipdsId":"IP-158499","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":500066,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.coal.2024.104559","text":"Publisher Index Page"},{"id":430956,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"India","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              90,\n              26\n            ],\n            [\n              90,\n              25.25\n            ],\n            [\n              92.55,\n              25.25\n            ],\n            [\n              92.55,\n              26\n            ],\n            [\n              90,\n              26\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"290","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Adsul, Tushar","contributorId":330815,"corporation":false,"usgs":false,"family":"Adsul","given":"Tushar","email":"","affiliations":[{"id":79028,"text":"Indian Institute of Technology (Indian School of Mines), India","active":true,"usgs":false}],"preferred":false,"id":906187,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Beirne, Molly D.","contributorId":340100,"corporation":false,"usgs":false,"family":"O’Beirne","given":"Molly","email":"","middleInitial":"D.","affiliations":[{"id":81466,"text":"Organic and Stable Isotope Biogeochemistry Laboratory, Department of Geology and Environmental Science, University of Pittsburgh, 200 Space Research Coordination Center, 4107 O'Hara Street, Pittsburgh, PA 15260, USA","active":true,"usgs":false}],"preferred":false,"id":906188,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fike, David","contributorId":340101,"corporation":false,"usgs":false,"family":"Fike","given":"David","email":"","affiliations":[{"id":81467,"text":"Department of Earth and Planetary Sciences, Washington University in St. Louis, 1 Brookings Drive, St. Louis, MO 63130-4899","active":true,"usgs":false}],"preferred":false,"id":906189,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ghosh, Santanu","contributorId":330824,"corporation":false,"usgs":false,"family":"Ghosh","given":"Santanu","email":"","affiliations":[{"id":79037,"text":"Mizoram University, India","active":true,"usgs":false}],"preferred":false,"id":906190,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Werne, Josef P.","contributorId":340102,"corporation":false,"usgs":false,"family":"Werne","given":"Josef","email":"","middleInitial":"P.","affiliations":[{"id":81466,"text":"Organic and Stable Isotope Biogeochemistry Laboratory, Department of Geology and Environmental Science, University of Pittsburgh, 200 Space Research Coordination Center, 4107 O'Hara Street, Pittsburgh, PA 15260, USA","active":true,"usgs":false}],"preferred":false,"id":906191,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gilhooly, William P. III","contributorId":340103,"corporation":false,"usgs":false,"family":"Gilhooly","given":"William P.","suffix":"III","affiliations":[{"id":81470,"text":"Department of Earth Sciences, Indiana University-Purdue University Indianapolis, Indianapolis, IN 46202, USA","active":true,"usgs":false}],"preferred":false,"id":906192,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":906193,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hatcherian, Javin J. 0000-0001-9151-6798 jhatcherian@usgs.gov","orcid":"https://orcid.org/0000-0001-9151-6798","contributorId":195770,"corporation":false,"usgs":true,"family":"Hatcherian","given":"Javin","email":"jhatcherian@usgs.gov","middleInitial":"J.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":906194,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Philip, Bright","contributorId":340104,"corporation":false,"usgs":false,"family":"Philip","given":"Bright","email":"","affiliations":[{"id":81471,"text":"Department of Chemistry, K J Somaiya College of Science and Commerce, Vidya Nagar, Vidyavihar, Mumbai-400077, Maharashtra, India","active":true,"usgs":false}],"preferred":false,"id":906195,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hazra, Bodhisastwa","contributorId":340105,"corporation":false,"usgs":false,"family":"Hazra","given":"Bodhisastwa","email":"","affiliations":[{"id":81472,"text":"Central Mining and Fuel Research Institute, Dhanbad, Jharkhand-826001, India","active":true,"usgs":false}],"preferred":false,"id":906196,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Bhattachryya, Sudip","contributorId":340106,"corporation":false,"usgs":false,"family":"Bhattachryya","given":"Sudip","email":"","affiliations":[{"id":81473,"text":"Specialized Coal Petrography Laboratory, Natural Energy Resources, Mission II-B, Geological Survey of India, DK-6, Sector-II, Salt Lake City, Kolkata 700091, West Bengal, India","active":true,"usgs":false}],"preferred":false,"id":906197,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Konar, Ritam","contributorId":340107,"corporation":false,"usgs":false,"family":"Konar","given":"Ritam","email":"","affiliations":[{"id":81473,"text":"Specialized Coal Petrography Laboratory, Natural Energy Resources, Mission II-B, Geological Survey of India, DK-6, Sector-II, Salt Lake City, Kolkata 700091, West Bengal, India","active":true,"usgs":false}],"preferred":false,"id":906198,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Varma, Atul Kumar","contributorId":261448,"corporation":false,"usgs":false,"family":"Varma","given":"Atul","email":"","middleInitial":"Kumar","affiliations":[],"preferred":false,"id":906199,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70256048,"text":"70256048 - 2024 - Insufficient and biased representation of species geographic responses to climate change","interactions":[],"lastModifiedDate":"2024-07-17T11:56:56.822408","indexId":"70256048","displayToPublicDate":"2024-07-10T06:53:58","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Insufficient and biased representation of species geographic responses to climate change","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>The geographic redistributions of species due to a rapidly changing climate are poised to perturb ecological communities and significantly impact ecosystems and human livelihoods. Effectively managing these biological impacts requires a thorough understanding of the patterns and processes of species geographic range shifts. While substantial recent redistributions have been identified and recognized to vary by taxon, region, and range geometry, there are large gaps and biases in the available evidence. Here, we use the largest compilation of geographic range change observations to date, comprised of 33,016 potential redistributions across 12,009 species, to formally assess within- and cross-species coverage and biases and to motivate future data collection. We find that species coverage varies strongly by taxon and underrepresents species at high and low latitudes. Within species, assessments of potential redistributions came from parts of their geographic range that were highly uneven and non-representative. For most species and taxa, studies were strongly biased toward the colder parts of species' distributions and thus significantly underrepresented populations that might get pushed beyond their maximum temperature limits. Coverage of potential leading and trailing geographic range edges under a changing climate was similarly uneven. Only 8% of studied species were assessed at both high and low latitude and elevation range edges, with most only covered at one edge. This suggests that substantial within-species biases exacerbate the considerable geographic and taxonomic among-species unevenness in evidence. Our results open the door for a more quantitative accounting for existing knowledge biases in climate change ecology and a more informed management and conservation. Our findings offer guidance for future data collection that better addresses information gaps and provides a more effective foundation for managing the biological impacts of climate change.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.17408","usgsCitation":"Parker, E., Weiskopf, S.R., Oliver, R.Y., Rubenstein, M.A., and Jetz, W., 2024, Insufficient and biased representation of species geographic responses to climate change: Global Change Biology, v. 30, no. 7, e17408, 14 p., https://doi.org/10.1111/gcb.17408.","productDescription":"e17408, 14 p.","ipdsId":"IP-159269","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":498480,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.17408","text":"Publisher Index Page"},{"id":431124,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"7","noUsgsAuthors":false,"publicationDate":"2024-07-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Parker, Evan","contributorId":340191,"corporation":false,"usgs":false,"family":"Parker","given":"Evan","email":"","affiliations":[{"id":48197,"text":"Yale","active":true,"usgs":false}],"preferred":false,"id":906497,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weiskopf, Sarah R. 0000-0002-5933-8191","orcid":"https://orcid.org/0000-0002-5933-8191","contributorId":207699,"corporation":false,"usgs":true,"family":"Weiskopf","given":"Sarah","email":"","middleInitial":"R.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":906498,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oliver, Ruth Y","contributorId":243448,"corporation":false,"usgs":false,"family":"Oliver","given":"Ruth","email":"","middleInitial":"Y","affiliations":[],"preferred":false,"id":906499,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rubenstein, Madeleine A. 0000-0001-8569-781X mrubenstein@usgs.gov","orcid":"https://orcid.org/0000-0001-8569-781X","contributorId":203206,"corporation":false,"usgs":true,"family":"Rubenstein","given":"Madeleine","email":"mrubenstein@usgs.gov","middleInitial":"A.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":906500,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jetz, Walter","contributorId":177935,"corporation":false,"usgs":false,"family":"Jetz","given":"Walter","email":"","affiliations":[],"preferred":false,"id":906501,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70256047,"text":"70256047 - 2024 - Seasonality of retreat rate of a wave-exposed marsh edge","interactions":[],"lastModifiedDate":"2024-07-16T11:53:48.411487","indexId":"70256047","displayToPublicDate":"2024-07-10T06:53:09","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7357,"text":"JGR Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Seasonality of retreat rate of a wave-exposed marsh edge","docAbstract":"<div class=\"article-section__content en main\"><p>Wave-driven erosion of marsh boundaries is a major cause of marsh loss, but little research has captured the effect of seasonal differences on marsh-edge retreat rates to illuminate temporal patterns of when the majority of this erosion is occurring. Using five surface models captured over a study year of a marsh with a steep escarped boundary in South San Francisco Bay, we find a pronounced seasonal signal, where rapid marsh retreat in the spring and summer is driven by a strong sea breeze but little change is found in the marsh-edge position in the fall and winter. We found accretion in the mudflat transition region close to the marsh boundary in the calmer seasons however, suggesting intertwined morphodynamics of mudflats and the eroding marsh-scarp. We observed large spatial heterogeneity in retreat rates within seasons, but less on longer (annual and decadal) timescales. The relationship between marsh-edge retreat rates and properties of the wave field nearby is explored and contextualized against extant relationships, but our results speak to the difficulty in addressing spatial erosion/accretion variability on short (seasonal) timescales with simple models.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023JF007468","usgsCitation":"WinklerPrins, L.T., Lacy, J.R., Stacey, M., Logan, J.B., and Stevens, A.W., 2024, Seasonality of retreat rate of a wave-exposed marsh edge: JGR Earth Surface, v. 129, no. 7, e2023JF007468, https://doi.org/10.1029/2023JF007468.","productDescription":"e2023JF007468","ipdsId":"IP-155496","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":439288,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023jf007468","text":"Publisher Index Page"},{"id":431116,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"129","issue":"7","noUsgsAuthors":false,"publicationDate":"2024-07-10","publicationStatus":"PW","contributors":{"authors":[{"text":"WinklerPrins, Lukas T. 0000-0003-0508-1455","orcid":"https://orcid.org/0000-0003-0508-1455","contributorId":304096,"corporation":false,"usgs":false,"family":"WinklerPrins","given":"Lukas","email":"","middleInitial":"T.","affiliations":[{"id":65968,"text":"UC Berkeley, contracted to USGS PCMSC","active":true,"usgs":false}],"preferred":false,"id":906491,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lacy, Jessica R. 0000-0002-2797-6172","orcid":"https://orcid.org/0000-0002-2797-6172","contributorId":201703,"corporation":false,"usgs":true,"family":"Lacy","given":"Jessica","email":"","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":906492,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stacey, Mark T.","contributorId":94531,"corporation":false,"usgs":false,"family":"Stacey","given":"Mark T.","affiliations":[{"id":12776,"text":"Department of Civil and Environmental Engineering,  University of California, Berkeley, California, USA","active":true,"usgs":false}],"preferred":false,"id":906493,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Logan, Joshua B. 0000-0002-6191-4119 jlogan@usgs.gov","orcid":"https://orcid.org/0000-0002-6191-4119","contributorId":2335,"corporation":false,"usgs":true,"family":"Logan","given":"Joshua","email":"jlogan@usgs.gov","middleInitial":"B.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":906494,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stevens, Andrew W. 0000-0003-2334-129X astevens@usgs.gov","orcid":"https://orcid.org/0000-0003-2334-129X","contributorId":139313,"corporation":false,"usgs":true,"family":"Stevens","given":"Andrew","email":"astevens@usgs.gov","middleInitial":"W.","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":906495,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70256002,"text":"70256002 - 2024 - On connecting hydro-social parameters to vegetation greenness differences in an evolving groundwater-dependent ecosystem","interactions":[],"lastModifiedDate":"2024-07-12T11:51:49.080855","indexId":"70256002","displayToPublicDate":"2024-07-10T06:47:49","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"On connecting hydro-social parameters to vegetation greenness differences in an evolving groundwater-dependent ecosystem","docAbstract":"<div class=\"html-p\">Understanding groundwater-dependent ecosystems (i.e., areas with a relatively shallow water table that plays a major role in supporting vegetation health) is key to sustaining water resources in the western United States. Groundwater-dependent ecosystems (GDEs) in Colorado have non-pristine temporal and spatial patterns, compared to agro-ecosystems, which make it difficult to quantify how these ecosystems are impacted by changes in water availability. The goal of this study is to examine how key hydrosocial parameters perturb GDE water use in time and in space. The temporal approach tests for the additive impacts of precipitation, surface water discharge, surface water mass balance as a surrogate for surface–groundwater exchange, and groundwater depth on the monthly Landsat normalized difference vegetation index (NDVI). The spatial approach tests for the additive impacts of river confluences, canal augmentation, development, perennial tributary confluences, and farmland modification on temporally integrated NDVI. Model results show a temporal trend (monthly, 1984–2019) is identifiable along segments of the Arkansas River at resolutions finer than 10 km. The temporal impacts of river discharge correlate with riparian water use sooner in time compared to precipitation, but this result is spatially variable and dependent on the covariates tested. Spatially, areal segments of the Arkansas River that have confluences with perennial streams have increased cumulative vegetation density. Quantifying temporal and spatial dependencies between the sources and effects of GDEs could aid in preventing the loss of a vulnerable ecosystem to increased water demand, changing climate, and evolving irrigation methodologies.</div>","language":"English","publisher":"MDPI","doi":"10.3390/rs16142536","usgsCitation":"Lurtz, M.R., Morrison, R.R., and Nagler, P.L., 2024, On connecting hydro-social parameters to vegetation greenness differences in an evolving groundwater-dependent ecosystem: Remote Sensing, v. 16, no. 14, 2536, 20 p., https://doi.org/10.3390/rs16142536.","productDescription":"2536, 20 p.","ipdsId":"IP-165588","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":439289,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs16142536","text":"Publisher Index Page"},{"id":430998,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -102.05312742592827,\n              37.89105892695899\n            ],\n            [\n              -102.05312742592827,\n              38.25691608432268\n            ],\n            [\n              -103.13634969634639,\n              38.25691608432268\n            ],\n            [\n              -103.13634969634639,\n              37.89105892695899\n            ],\n            [\n              -102.05312742592827,\n              37.89105892695899\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"16","issue":"14","noUsgsAuthors":false,"publicationDate":"2024-07-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Lurtz, Matthew R.","contributorId":300337,"corporation":false,"usgs":false,"family":"Lurtz","given":"Matthew","email":"","middleInitial":"R.","affiliations":[{"id":65088,"text":"Civil and Environmental Engineering, Colorado State University, Fort Collins, CO, 80523 USA","active":true,"usgs":false}],"preferred":false,"id":906322,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morrison, Ryan R.","contributorId":198245,"corporation":false,"usgs":false,"family":"Morrison","given":"Ryan","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":906323,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":906324,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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