{"pageNumber":"75","pageRowStart":"1850","pageSize":"25","recordCount":185143,"records":[{"id":70268478,"text":"70268478 - 2025 - Glaciers in Western Canada-conterminous US and Switzerland experience unprecedented mass loss over the last four years (2021–2024)","interactions":[],"lastModifiedDate":"2025-06-27T14:01:50.800891","indexId":"70268478","displayToPublicDate":"2025-06-25T08:57:05","publicationYear":"2025","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":"Glaciers in Western Canada-conterminous US and Switzerland experience unprecedented mass loss over the last four years (2021–2024)","docAbstract":"<p><span>Over the period 2021–2024, glaciers in Western Canada and the conterminous US (WCAN-US), and Switzerland respectively lost mass at rates of 22.2&nbsp;±&nbsp;9.0 and 1.5&nbsp;±&nbsp;0.3&nbsp;Gt&nbsp;yr</span><sup>−1</sup><span>&nbsp;representing a twofold increase in mass loss compared to the period 2010–2020. Since 2020, total ice volume was depleted by 12% (WCAN-US) and 13% (Switzerland). Meteorological conditions that favored high rates of mass loss included low winter snow accumulation, early-season heat waves, and prolonged warm, dry conditions. High transient snow lines, and impurity loading due to wildfires (WCAN-US) or Saharan dust (Switzerland) darkened glaciers and thereby increased mass loss via greater absorbed shortwave radiation available for melt. This ice-albedo feedback will lead to continued high rates of thinning unless recently exposed dark ice and firn at high elevations is buried by seasonal snowfall. Physical models that simulate impurity deposition and movement through firn and ice are needed to improve future projections of glacier mass change.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025GL115235","usgsCitation":"Menounos, B., Huss, M., Marshall, S., Ednie, M., Florentine, C., and Hartl, L., 2025, Glaciers in Western Canada-conterminous US and Switzerland experience unprecedented mass loss over the last four years (2021–2024): Geophysical Research Letters, v. 52, no. 12, e2025GL115235, 10 p., https://doi.org/10.1029/2025GL115235.","productDescription":"e2025GL115235, 10 p.","ipdsId":"IP-168264","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":491714,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025gl115235","text":"Publisher Index Page"},{"id":491524,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Switzerland, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -135.99568879770823,\n              54.91892016736358\n            ],\n            [\n              -135.99568879770823,\n              46.622431752452655\n            ],\n            [\n              -111.83646544244147,\n              46.622431752452655\n            ],\n            [\n              -111.83646544244147,\n              54.91892016736358\n            ],\n            [\n              -135.99568879770823,\n              54.91892016736358\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              5,\n              48\n            ],\n            [\n              5,\n              45.5\n            ],\n            [\n              12,\n              45.5\n            ],\n            [\n              12,\n              48\n            ],\n            [\n              5,\n              48\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"52","issue":"12","noUsgsAuthors":false,"publicationDate":"2025-06-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Menounos, Brian","contributorId":225514,"corporation":false,"usgs":false,"family":"Menounos","given":"Brian","email":"","affiliations":[{"id":41154,"text":"Geography Program and Natural Resources and Environmental Studies Institute, University of Northern British Columbia","active":true,"usgs":false}],"preferred":false,"id":941479,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huss, Matthias","contributorId":342088,"corporation":false,"usgs":false,"family":"Huss","given":"Matthias","affiliations":[],"preferred":false,"id":941480,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marshall, Shawn","contributorId":357456,"corporation":false,"usgs":false,"family":"Marshall","given":"Shawn","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":941481,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ednie, Mark","contributorId":357457,"corporation":false,"usgs":false,"family":"Ednie","given":"Mark","affiliations":[{"id":13092,"text":"Geological Survey of Canada","active":true,"usgs":false}],"preferred":false,"id":941482,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Florentine, Caitlyn 0000-0002-7028-0963","orcid":"https://orcid.org/0000-0002-7028-0963","contributorId":205964,"corporation":false,"usgs":true,"family":"Florentine","given":"Caitlyn","email":"","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":941483,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hartl, Lea","contributorId":347731,"corporation":false,"usgs":false,"family":"Hartl","given":"Lea","affiliations":[{"id":82428,"text":"Austrian Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":941484,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70268395,"text":"sir20255040 - 2025 - Aquifer storage change and storage properties, Rio Rancho, New Mexico, 2019–23","interactions":[],"lastModifiedDate":"2025-06-25T13:56:15.826186","indexId":"sir20255040","displayToPublicDate":"2025-06-25T08:36:27","publicationYear":"2025","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":"2025-5040","displayTitle":"Aquifer Storage Change and Storage Properties, Rio Rancho, New Mexico, 2019–23","title":"Aquifer storage change and storage properties, Rio Rancho, New Mexico, 2019–23","docAbstract":"<p>To better understand changes in groundwater storage and groundwater elevations, the U.S. Geological Survey, in cooperation with the City of Rio Rancho, New Mexico, carried out a multiyear groundwater monitoring project. Groundwater-level data were collected at 27 locations, including sites having multiple wells screened at different depths and those having long-term records. A repeat microgravity network of 20 stations was established, and surveys were carried out three times per year. The microgravity method provides a direct, quantitative measurement of mass change caused by aquifer filling or draining. Data collected during the 2019–23 study period indicate generally stable groundwater conditions, with small fluctuations in groundwater levels (increasing at some wells, declining at others), and small declines in groundwater storage over the period of record at most gravity locations (average = −0.33 foot of water per year). The discrepancy between the water-level and microgravity data may have been caused by a loss of soil moisture in the unsaturated zone, which is as much as 1,000 feet thick in some areas. At the Rio Rancho Advanced Water Treatment Facility, where the city recharges water through direct injection, there may be seasonal correlations in storage related to injection but no longer-term accumulation of recharged water in the immediate vicinity of the facility, indicating water is moving efficiently into the aquifer.<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255040","issn":"2328-0328","collaboration":"Prepared in cooperation with the City of Rio Rancho","usgsCitation":"Kennedy, J.R., Bell, M.T., and Seelig, W.G., 2025, Aquifer storage change and storage properties, Rio Rancho, New Mexico, 2019–23: U.S. Geological Survey Scientific Investigations Report 2025–5040, 25 p., https://doi.org/10.3133/sir20255040.","productDescription":"Report: viii, 25 p.; 3 Data Releases","numberOfPages":"38","onlineOnly":"Y","ipdsId":"IP-159259","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":491186,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5040/coverthb.jpg"},{"id":491189,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255040/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5040 HTML"},{"id":491191,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P984HN6J","text":"USGS Data Release","linkHelpText":"- Southwest Gravity Program Absolute-Gravity Database (updated 2025–05–14)"},{"id":491185,"rank":2,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5040/images"},{"id":491187,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5040/sir20255040.pdf","size":"6.63 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5040"},{"id":491188,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5040/sir20255040.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2025-5040 XML"},{"id":491190,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14NKDR2","text":"USGS Data Release","linkHelpText":"- Repeat microgravity data from Rio Rancho, New Mexico, 2019–2023"},{"id":491192,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS NWIS water data for the Nation","linkHelpText":"- U.S. Geological Survey National Water Information System database"}],"country":"United States","state":"New Mexico","city":"Rio Rancho","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -106.8333,\n              35.36\n            ],\n            [\n              -106.8333,\n              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Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2025-06-25","noUsgsAuthors":false,"publicationDate":"2025-06-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Kennedy, Jeffrey R. 0000-0002-3365-6589 jkennedy@usgs.gov","orcid":"https://orcid.org/0000-0002-3365-6589","contributorId":2172,"corporation":false,"usgs":true,"family":"Kennedy","given":"Jeffrey","email":"jkennedy@usgs.gov","middleInitial":"R.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941197,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bell, Meghan T. 0000-0003-4993-1642 mtbell@usgs.gov","orcid":"https://orcid.org/0000-0003-4993-1642","contributorId":197069,"corporation":false,"usgs":true,"family":"Bell","given":"Meghan","email":"mtbell@usgs.gov","middleInitial":"T.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941198,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Seelig, William G. 0000-0002-7552-9078","orcid":"https://orcid.org/0000-0002-7552-9078","contributorId":357326,"corporation":false,"usgs":true,"family":"Seelig","given":"William G.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941199,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70269968,"text":"70269968 - 2025 - Parasite‐mediated competition limits dominant cervid competitor","interactions":[],"lastModifiedDate":"2025-08-07T15:41:00.415168","indexId":"70269968","displayToPublicDate":"2025-06-25T08:35:52","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1466,"text":"Ecology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Parasite‐mediated competition limits dominant cervid competitor","docAbstract":"<p><span>Species interactions structure ecological communities through direct and indirect pathways with ecosystem-wide implications. Despite mounting interest in the importance of indirect interactions, empirical evidence remains limited. Here, we demonstrate the critical role of parasite-mediated competition in driving community outcomes in a multi-species system of conservation and management concern. We leveraged 2 years of detection/non-detection data of moose (</span><i>Alces alces</i><span>) and white-tailed deer (</span><i>Odocoileus virginianus</i><span>) and parasite loads in faecal samples within a hierarchical abundance-mediated interaction model to test hypotheses regarding interactions between these cervids and their shared parasites (</span><i>Parelaphostrongylus tenuis</i><span>,&nbsp;</span><i>Fascioloides magna</i><span>). We demonstrate that moose occupancy was limited by parasite-mediated competition, with no evidence of population-level effects of direct competitive interactions between moose and white-tailed deer. Such evidence of the importance of indirect interactions and resulting community outcomes is critical for species conservation and managing range contractions due to increasing pressures from habitat loss, disease and climate change.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/ele.70159","usgsCitation":"Grauer, J., Twining, J., Lejeune, M., Frair, J., Schuler, K., Kramer, D., and Fuller, A.K., 2025, Parasite‐mediated competition limits dominant cervid competitor: Ecology Letters, v. 28, no. 6, e70159, 11 p., https://doi.org/10.1111/ele.70159.","productDescription":"e70159, 11 p.","ipdsId":"IP-171932","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":493800,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ele.70159","text":"Publisher Index Page"},{"id":493718,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Adirondack Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -74.86450930313202,\n              44.87977988441\n            ],\n            [\n              -74.86450930313202,\n              44.084393619454204\n            ],\n            [\n              -73.3992247689462,\n              44.084393619454204\n            ],\n            [\n              -73.3992247689462,\n              44.87977988441\n            ],\n            [\n              -74.86450930313202,\n              44.87977988441\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"28","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Grauer, Jennifer A.","contributorId":359241,"corporation":false,"usgs":false,"family":"Grauer","given":"Jennifer A.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":945071,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Twining, Joshua P.","contributorId":349314,"corporation":false,"usgs":false,"family":"Twining","given":"Joshua P.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":945072,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lejeune, Manigandan","contributorId":359243,"corporation":false,"usgs":false,"family":"Lejeune","given":"Manigandan","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":945073,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frair, Jacqueline L.","contributorId":342845,"corporation":false,"usgs":false,"family":"Frair","given":"Jacqueline L.","affiliations":[{"id":48981,"text":"State University of New York","active":true,"usgs":false}],"preferred":false,"id":945074,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schuler, Krysten L.","contributorId":342869,"corporation":false,"usgs":false,"family":"Schuler","given":"Krysten L.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":945075,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kramer, David W.","contributorId":359247,"corporation":false,"usgs":false,"family":"Kramer","given":"David W.","affiliations":[{"id":37519,"text":"SUNY College of Environmental Science and Forestry","active":true,"usgs":false}],"preferred":false,"id":945076,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":945077,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70273454,"text":"70273454 - 2025 - Geochemistry and spatial distribution of Neoproterozoic dike swarms from the northwestern tip of the Arabian-Nubian Shield: Implications for crustal extension","interactions":[],"lastModifiedDate":"2026-01-14T15:44:13.58879","indexId":"70273454","displayToPublicDate":"2025-06-25T08:34:35","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2147,"text":"Journal of African Earth Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Geochemistry and spatial distribution of Neoproterozoic dike swarms from the northwestern tip of the Arabian-Nubian Shield: Implications for crustal extension","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Ediacaran&nbsp;dike swarms&nbsp;in the Arabian-Nubian Shield (ANS) provide key insights into post-collisional tectonics and&nbsp;magmatism. This study presents new chemical data, two&nbsp;</span><sup>40</sup><span>Ar/</span><sup>39</sup><span>Ar ages, and spatial distribution analysis for dike swarms in the northernmost ANS exposures in SW Jordan. Hornblende from a&nbsp;lamprophyre&nbsp;sill intruding the Saramuj Conglomerate yielded a plateau age of ∼592&nbsp;±&nbsp;3&nbsp;Ma, interpreted as the crystallization age of the sill. Micro-cores of sericite-rich domains in altered plagioclase&nbsp;phenocrysts&nbsp;from a dolerite dike intruding ∼586&nbsp;Ma alkali granite produced ages of ∼580–570&nbsp;Ma, interpreted as&nbsp;hydrothermal alteration&nbsp;ages, constraining dike emplacement to 586–580&nbsp;Ma. The geochemistry&nbsp;of investigated dikes varies from alkaline to subalkaline and crosscuts calc-alkaline magmatic rocks. This transition reflects a shift from compression to extension (∼610-590&nbsp;Ma), lithospheric thinning, and changes in&nbsp;mantle sources. After 590&nbsp;Ma,&nbsp;magmatism&nbsp;became exclusively alkaline, forming A-type&nbsp;granitoids&nbsp;and dolerites, marking a shift to extensional magmatism. Dikes predominantly follow NE-SW and E-W orientations, with rare N-S, NW-SE, and WNW-ESE trends, suggesting a major horizontal extension direction from NW-SE to N-S. Dike density ranges from 5 to 13&nbsp;%, averaging ∼9&nbsp;%, with crustal extension estimates of 9–23&nbsp;%, averaging 16&nbsp;%. No correlation was found between dike composition, orientation, or order of emplacement, indicating consistent stress orientation during the final stage (605-580&nbsp;Ma) of ANS evolution.</span></span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jafrearsci.2025.105743","usgsCitation":"Ghanem, H., Salman, A., McAleer, R.J., Passchier, C.W., and Jarrar, G.H., 2025, Geochemistry and spatial distribution of Neoproterozoic dike swarms from the northwestern tip of the Arabian-Nubian Shield: Implications for crustal extension: Journal of African Earth Sciences, v. 230, 105743, 21 p., https://doi.org/10.1016/j.jafrearsci.2025.105743.","productDescription":"105743, 21 p.","ipdsId":"IP-180175","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":498614,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Arabian Nubian Shield","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              31.797747826914417,\n              29.641760072593314\n            ],\n            [\n              33.93598964104597,\n              23.62375082197468\n            ],\n            [\n              32.99480222270533,\n              21.384851964327254\n            ],\n            [\n              38.68624808387497,\n              12.65452725801191\n            ],\n            [\n              45.178411722882146,\n              14.801791809033972\n            ],\n            [\n              42.380147679929166,\n              22.494783813142725\n            ],\n            [\n              36.059013995221136,\n              29.907477528272565\n            ],\n            [\n              31.797747826914417,\n              29.641760072593314\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"230","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ghanem, Hind","contributorId":189107,"corporation":false,"usgs":false,"family":"Ghanem","given":"Hind","email":"","affiliations":[],"preferred":false,"id":953760,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Salman, Abeer","contributorId":365146,"corporation":false,"usgs":false,"family":"Salman","given":"Abeer","affiliations":[{"id":87065,"text":"King Saud University","active":true,"usgs":false}],"preferred":false,"id":953761,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":215498,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan","email":"rmcaleer@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":953762,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Passchier, Cees W.","contributorId":299270,"corporation":false,"usgs":false,"family":"Passchier","given":"Cees","middleInitial":"W.","affiliations":[{"id":64804,"text":"Johannes Gutenberg University","active":true,"usgs":false}],"preferred":false,"id":953763,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jarrar, Ghaleb H. 0000-0003-3424-3337","orcid":"https://orcid.org/0000-0003-3424-3337","contributorId":224974,"corporation":false,"usgs":false,"family":"Jarrar","given":"Ghaleb","middleInitial":"H.","affiliations":[{"id":35514,"text":"University of Jordan","active":true,"usgs":false}],"preferred":false,"id":953764,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70268485,"text":"70268485 - 2025 - MTAB 112, June 2025","interactions":[],"lastModifiedDate":"2025-06-27T13:37:25.623797","indexId":"70268485","displayToPublicDate":"2025-06-25T08:34:16","publicationYear":"2025","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":13451,"text":"Memo to All Banders (MTAB)","active":true,"publicationSubtype":{"id":30}},"title":"MTAB 112, June 2025","docAbstract":"This Memo to All Banders (MTAB 112) was released in June 2025. Subjects in this this memo are 1. The Chief’s Chirp; 2. Message from the Director of Eastern Ecological Science Center; 3. Staff Updates – celebrating Craig “Tut” Tuthill’s remarkable career and retirement; 4. Alerts – New reportband.gov link and Highly Pathogenic Avian Influenza; 5. News – Foundational science in flight factsheet,  Notes From the Field: What’s on a sparrow’s dinner menu?, bird collision prevention, and BBL featured in Ducks Unlimited Podcast;  6. A note from the permitting shelves – ethics and photography guideline reminders; 7. A note from the supply room – band orders and returns; 8. Frequently asked questions – I haven’t gotten my band order yet, where is it?, Why does my Northern Cardinal kickout for bad age/sex warning on the Bander Portal?, and Where can I get my banding supplies?; 9. Auxiliary marker corner – reminder to double-check authorizations; 10. Banding and encounter highlights; 11. Message to the Flyways – GameBirds and band orders; 12. Moments in history – a history of the BBL; 13. Recent literature; 14. Upcoming events; and 15. Request for information.","language":"English","publisher":"U.S. Geological Survey","usgsCitation":"Harvey, K., 2025, MTAB 112, June 2025: Memo to All Banders (MTAB), 16 p.","productDescription":"16 p.","ipdsId":"IP-180261","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":491521,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":491513,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.usgs.gov/media/files/mtab-112-june-2025"}],"noUsgsAuthors":false,"publicationDate":"2025-06-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Harvey, Kyra 0000-0003-4781-1874","orcid":"https://orcid.org/0000-0003-4781-1874","contributorId":296250,"corporation":false,"usgs":true,"family":"Harvey","given":"Kyra","email":"","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":941505,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70272646,"text":"70272646 - 2025 - Why are non-native plants successful? Consistently fast economic traits and novel origin jointly explain abundance across US ecoregions","interactions":[],"lastModifiedDate":"2025-12-02T16:20:56.981685","indexId":"70272646","displayToPublicDate":"2025-06-24T10:16:10","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2863,"text":"New Phytologist","active":true,"publicationSubtype":{"id":10}},"title":"Why are non-native plants successful? Consistently fast economic traits and novel origin jointly explain abundance across US ecoregions","docAbstract":"<ul class=\"unordered-list\"><li>Are non-native plants abundant because they are non-native, and have advantages over native plants, or because they possess ‘fast’ resource strategies, and have advantages in disturbed environments? This question is central to invasion biology but remains unanswered.</li><li>We quantified the relative importance of resource strategy and biogeographic origin in 69 441 plots across the conterminous United States containing 11 280 plant species.</li><li>Non-native species had faster economic traits than native species in most plant communities (77%, 86% and 82% of plots for leaf nitrogen concentration, specific leaf area, and leaf dry matter content). Non-native species also had distinct patterns of abundance, but these were not explained by their fast traits. Compared with functionally similar native species, non-native species were (1) more abundant in plains and deserts, indicating the importance of biogeographic origin, and less abundant in forested ecoregions, (2) were more abundant where co-occurring species had fast traits, for example due to disturbance, and (3) showed weaker signals of local environmental filtering.</li><li>These results clarify the nature of plant invasion: Although non-native plants have consistently fast economic traits, other novel characteristics and processes likely explain their abundance and, therefore, impacts.</li></ul>","language":"English","publisher":"New Phytologist Foundation","doi":"10.1111/nph.70307","usgsCitation":"Blumenthal, D.M., Diez, J.M., Pearse, I.S., Sofaer, H., Sorte, C.J., Barnett, D., Beaury, E.M., Bradley, B., Corbin, J., Dukes, J., Early, R., Ibanez, I., Laughlin, D.C., Petri, L., and Vila, M., 2025, Why are non-native plants successful? Consistently fast economic traits and novel origin jointly explain abundance across US ecoregions: New Phytologist, v. 248, no. 3, p. 1192-1204, https://doi.org/10.1111/nph.70307.","productDescription":"13 p.","startPage":"1192","endPage":"1204","ipdsId":"IP-177702","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":496990,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"conterminous United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"geometry\": {\n        \"type\": \"MultiPolygon\",\n        \"coordinates\": [\n          [\n            [\n              [\n                -94.81758,\n                49.38905\n              ],\n              [\n                -94.64,\n                48.84\n              ],\n              [\n                -94.32914,\n   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,{"id":70268819,"text":"70268819 - 2025 - Network of networks: Time series clustering of AmeriFlux sites","interactions":[],"lastModifiedDate":"2025-07-08T14:25:01.510441","indexId":"70268819","displayToPublicDate":"2025-06-24T09:10:47","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":681,"text":"Agricultural and Forest Meteorology","active":true,"publicationSubtype":{"id":10}},"title":"Network of networks: Time series clustering of AmeriFlux sites","docAbstract":"<p><span>Environmental observation networks, such as AmeriFlux, are foundational for monitoring ecosystem response to climate change, management practices, and natural disturbances; however, their effectiveness depends on their representativeness for the regions or continents. We proposed an empirical, time series approach to quantify the similarity of ecosystem fluxes across AmeriFlux sites. We extracted the diel and seasonal characteristics (i.e., amplitudes, phases) from carbon dioxide, water vapor, energy, and momentum fluxes, which reflect the effects of climate, plant phenology, and ecophysiology on the observations, and explored the potential aggregations of AmeriFlux sites through hierarchical clustering. While net radiation and temperature showed latitudinal clustering as expected, flux variables revealed a more uneven clustering with many small (number of sites &lt; 5), unique groups and a few large (&gt; 100) to intermediate (15–70) groups, highlighting the significant ecological regulations of ecosystem fluxes. Many identified unique groups were from under-sampled ecoregions and biome types of the International Geosphere-Biosphere Programme (IGBP), with distinct flux dynamics compared to the rest of the network. At the finer spatial scale, local topography, disturbance, management, edaphic, and hydrological regimes further enlarge the difference in flux dynamics within the groups. Nonetheless, our clustering approach is a data-driven method to interpret the AmeriFlux network, informing future cross-site syntheses, upscaling, and model-data benchmarking research. Finally, we highlighted the unique and underrepresented sites in the AmeriFlux network, which were found mainly in Hawaii and Latin America, mountains, and at under-sampled IGBP types (e.g., urban, open water), motivating the incorporation of new/unregistered sites from these groups.</span></p>","language":"English","publisher":"Elsevier B.V.","doi":"10.1016/j.agrformet.2025.110686","usgsCitation":"Reed, D., Chu, H., Peter, B.G., Chen, J., Abraha, M., Amiro, B., Anderson, R.G., Arain, M., Arruda, P., Barron-Gafford, G.A., Bernacchi, C., Beverly, D., Biraud, S., Black, T.A., Blanken, P.D., Bohrer, G., Bowler, R., Bowling, D., Bret-Harte, M., Bretfeld, M., Brunsell, N., Bullock, S., Celis, G., Chen, X., Classen, A., Cook, D., Cueva, A., Dalmagro, H.J., Davis, K.J., Desai, A., Duff, A., Dunn, A., Durden, D., Edgar, C.W., Euskirchen, E., Bracho, R., Ewers, B.E., Flanagan, L.B., Florian, C.R., Foord, V., Forbrich, I., Forsythe, B., Frank, J., Garatuza-Payan, J., Goslee, S., Gough, C.M., Green, M.B., Griffis, T., Helbig, M., Hill, A., Hinkle, R., Horne, J., Humphreys, E., Ikawa, H., Iwahana, G., Jassal, R., Johnson, B.K., Johnson, M.S., Kannenberg, S., Kelsey, E., King, J., Knowles, J.F., Knox, S., Kobayashi, H., Kolb, T., Kolka, R., Krauss, K., Kutzbach, L., Lamb, B.T., Law, B.E., Lee, S., Lee, X., Liu, H., Loescher, H.W., Malone, S.L., Matamala, R., Mauritz, M., Metzger, S., Meyer, G., Mitra, B., Munger, J., Nesic, Z., Noormets, A., O'Halloran, T., O'Keeffe, P., Oberbauer, S.F., Oechel, W., Oikawa, P., Olivas, P., Ouimette, A., Pastorello, G., Perez-Quezada, J., Phillips, C., Posse, G., Qu, B., Quinton, W.L., Reba, M.L., Richardson, A.D., Picasso, V., Rocha, A., Rodriguez, J., Ruzol, R., Saleska, S., Scott, R.L., Schreiner-McGraw, A.P., Schuur, E., Silveira, M., Sonnentag, O., Spittlehouse, D., Staebler, R., Starr, G., Staudhammer, C., Still, C., Sturtevant, C., Sullivan, R., Suyker, A., Trejo, D., Ueyama, M., Vargas, R., Viner, B., Vivoni, E.R., Wang, D., Ward, E.J., Wiesner, S., Windham-Myers, L., Yannick, D., Yepez, E., Zenone, T., Zhao, J., and Zona, D., 2025, Network of networks: Time series clustering of AmeriFlux sites: Agricultural and Forest Meteorology, v. 372, 110686, 18 p., https://doi.org/10.1016/j.agrformet.2025.110686.","productDescription":"110686, 18 p.","ipdsId":"IP-167572","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":37277,"text":"WMA - 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,{"id":70268812,"text":"70268812 - 2025 - Quantitative evaluations of earthquake early warning performance using “Did You Feel It?” and post-alert surveys","interactions":[],"lastModifiedDate":"2025-07-08T16:04:22.201324","indexId":"70268812","displayToPublicDate":"2025-06-24T09:00:31","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10542,"text":"The Seismic Record","active":true,"publicationSubtype":{"id":10}},"title":"Quantitative evaluations of earthquake early warning performance using “Did You Feel It?” and post-alert surveys","docAbstract":"We examine responses to the U.S. Geological Survey’s “Did You Feel It?” (DYFI) survey and its companion earthquake early warning (EEW) questionnaire to assess the performance of the U.S. ShakeAlert EEW system directly from the alert recipients’ perspectives. ShakeAlert rapidly detects earthquakes and develops alert information, but as official alert delivery partners issue these alerts, it is thus difficult to determine how many people were alerted and when. We investigate DYFI reports for six California earthquakes that had EEW alerts and substantial responses to the DYFI EEW questionnaire. Comparisons of ShakeAlert predictions to reported intensities demonstrate that magnitude estimation accuracy is not necessarily indicative of ground-motion prediction accuracy. Perceived warning time distributions indicate that estimating maximum-expected warning times using the S-wave arrival is a reasonable assumption when discussing public EEW performance. However, we also find many reports of shorter warning times, late alerts, and missed alerts than expected based on ShakeAlert publication times, suggesting alert delivery latencies are substantial and highly variable. The novelty of our analysis is that we demonstrate that the DYFI EEW survey provides useful EEW efficacy information—independent of the specific alerting pathway—that can be used to inform our choices for conveying EEW performance.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0320250018","usgsCitation":"Saunders, J., and Wald, D.J., 2025, Quantitative evaluations of earthquake early warning performance using “Did You Feel It?” and post-alert surveys: The Seismic Record, v. 5, no. 2, p. 239-249, https://doi.org/10.1785/0320250018.","productDescription":"11 p.","startPage":"239","endPage":"249","ipdsId":"IP-178805","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":492060,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0320250018","text":"Publisher Index 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,{"id":70268932,"text":"70268932 - 2025 - Spatiotemporal drivers of water quality and phytoplankton communities in a cyanobacteria-dominated reservoir provide management insights","interactions":[],"lastModifiedDate":"2025-07-11T15:21:38.977041","indexId":"70268932","displayToPublicDate":"2025-06-24T08:15:59","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Spatiotemporal drivers of water quality and phytoplankton communities in a cyanobacteria-dominated reservoir provide management insights","docAbstract":"<p><span>Reservoirs serve critical roles providing drinking water, irrigation, flood control, hydropower, recreation, fisheries, and aquatic habitat. Yet their physical position, complex shape, and large watersheds make reservoirs especially susceptible to eutrophication and harmful algal bloom (HAB) production. Boysen Reservoir, WY, is a high priority for proactive nutrient management because it is an important source for drinking water and recreation, and has a history of toxic cyanobacterial blooms. We combined four years of comprehensive monitoring efforts by state and federal agencies to characterize the spatiotemporal patterns of nutrient inflow, internal water quality dynamics, and phytoplankton community shifts in Boysen Reservoir. We found nutrient inflow was hydrologically driven, with snowmelt runoff transporting high nutrient loads. Our findings suggest physicochemical and nutrient conditions of the reservoir were strongly different between the furthest reaches of the reservoir, but less variable among the intermediate sites. Space did not play a role in phytoplankton community dynamics, but time was an important factor. Cyanobacteria dominated phytoplankton communities by mid-summer across the reservoir and were driven mainly by temporal physicochemical conditions, like stratification and water temperature. The two most dominant phytoplankton taxa across the four years of sampling were N-fixing, toxin producing cyanobacteria. Extensive monitoring efforts and data analyses can illuminate strategies to safeguard water resources via understanding the drivers of water quality changes and HAB production.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s10661-025-14258-1","usgsCitation":"Rock, L., Fetzer, W., Patterson, L., Sillen, S., Steg, R., Walters, A.W., and Collins, S.M., 2025, Spatiotemporal drivers of water quality and phytoplankton communities in a cyanobacteria-dominated reservoir provide management insights: Environmental Monitoring and Assessment, v. 197, 795, 18 p., https://doi.org/10.1007/s10661-025-14258-1.","productDescription":"795, 18 p.","ipdsId":"IP-173265","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":492477,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10661-025-14258-1","text":"Publisher Index Page"},{"id":492137,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Boysen Reservoir","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -108.28940875950443,\n              43.45008748233806\n            ],\n            [\n              -108.28940875950443,\n              43.149830823543425\n            ],\n            [\n              -108.11100943189061,\n              43.149830823543425\n            ],\n            [\n              -108.11100943189061,\n              43.45008748233806\n            ],\n            [\n              -108.28940875950443,\n              43.45008748233806\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"197","noUsgsAuthors":false,"publicationDate":"2025-06-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Rock, Linnea A.","contributorId":357815,"corporation":false,"usgs":false,"family":"Rock","given":"Linnea A.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":942651,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fetzer, William W.","contributorId":357816,"corporation":false,"usgs":false,"family":"Fetzer","given":"William W.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":942652,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patterson, Lindsay","contributorId":356033,"corporation":false,"usgs":false,"family":"Patterson","given":"Lindsay","affiliations":[{"id":84900,"text":"Wyoming Department of Environmental Quality","active":true,"usgs":false}],"preferred":false,"id":942653,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sillen, Samuel J.","contributorId":357817,"corporation":false,"usgs":false,"family":"Sillen","given":"Samuel J.","affiliations":[{"id":12465,"text":"University of Pittsburgh","active":true,"usgs":false}],"preferred":false,"id":942654,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Steg, Ron","contributorId":357818,"corporation":false,"usgs":false,"family":"Steg","given":"Ron","affiliations":[{"id":84900,"text":"Wyoming Department of Environmental Quality","active":true,"usgs":false}],"preferred":false,"id":942655,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":942656,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Collins, Sarah M.","contributorId":204070,"corporation":false,"usgs":false,"family":"Collins","given":"Sarah","email":"","middleInitial":"M.","affiliations":[{"id":36821,"text":"Center for Limnology, University of Wisconsin Madison, Madison","active":true,"usgs":false}],"preferred":false,"id":942657,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70269575,"text":"70269575 - 2025 - Comparing SMART and ELECTRE methods for multi-criteria decision analysis: A case study evaluating conservation strategies","interactions":[],"lastModifiedDate":"2025-07-28T14:51:32.83067","indexId":"70269575","displayToPublicDate":"2025-06-24T07:48:56","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":22149,"text":"Environmental and Sustainability Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Comparing SMART and ELECTRE methods for multi-criteria decision analysis: A case study evaluating conservation strategies","docAbstract":"Tradeoffs are part of the inherent challenge of making decisions. Defaulting to a prevalent method can mask methodological variation and potential improvement in decision quality. We applied and compared methods for multi-criteria decision analysis (MCDA) in real-world environmental planning. Decision makers at a global conservation organization formed teams to review and prioritize the allocation of resources across a set of existing strategies across seven teams. Each team evaluated and rated strategies based on a common scale composed of weighted objectives and criteria. Sensitivity analysis included implementing two different MCDA methods, varying strategy ratings, and using two different criteria weighting techniques. The MCDA methods were SMART (Simple Multi-Attribute Rating Technique) and ELECTRE (ELimination and Choice Expressing The REality). We tested user satisfaction between methods, overall rankings between methods, and whether MCDA improved the decision-making process. The methods did not differ in most comparisons, although participants were more likely to use the SMART method in future tradeoff decisions. We found evidence of rank correlation between methods. Lastly, the teams’ final recommendations were consistent with MCDA results. This study highlights the advantages and disadvantages of MCDA in real-world applications.","language":"English","publisher":"Elsevier","doi":"10.1016/j.indic.2025.100764","usgsCitation":"Martin, D.M., and Smith, D.R., 2025, Comparing SMART and ELECTRE methods for multi-criteria decision analysis: A case study evaluating conservation strategies: Environmental and Sustainability Indicators, v. 27, 100764, 12 p., https://doi.org/10.1016/j.indic.2025.100764.","productDescription":"100764, 12 p.","ipdsId":"IP-153399","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":493316,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.indic.2025.100764","text":"Publisher Index Page"},{"id":493000,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Martin, David M. 0000-0002-1514-5734","orcid":"https://orcid.org/0000-0002-1514-5734","contributorId":210575,"corporation":false,"usgs":false,"family":"Martin","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":35215,"text":"Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":944094,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":944095,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70268358,"text":"ofr20251033 - 2025 - Select elements of concern in surface water of three hydrologic basins (Delaware River, Illinois River, and Upper Colorado River)—Data screening for the development of spatial and temporal models","interactions":[],"lastModifiedDate":"2025-06-24T13:43:22.987262","indexId":"ofr20251033","displayToPublicDate":"2025-06-23T14:10:00","publicationYear":"2025","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":"2025-1033","displayTitle":"Select Elements of Concern in Surface Water of Three Hydrologic Basins (Delaware River, Illinois River, and Upper Colorado River)—Data Screening for the Development of Spatial and Temporal Models","title":"Select elements of concern in surface water of three hydrologic basins (Delaware River, Illinois River, and Upper Colorado River)—Data screening for the development of spatial and temporal models","docAbstract":"<p>The report focuses on the screening of previously published concentration data associated with 12 elements of concern (aluminum, arsenic, cadmium, chromium, copper, iron, mercury, manganese, lead, selenium, uranium, and zinc) measured in stream surface waters of three hydrologic basins (Delaware River Basin, Illinois River Basin, and the Upper Colorado River Basin). The purpose of this analysis is to determine what subsets of the original dataset (containing more than 1,500,000 observations) may be most suitable for each of two types of modeling efforts. The first type of modeling envisions a machine learning approach to determine which geospatial attributes are most significant in describing the spatial distribution of elemental concentrations within a basin. The second type of modeling envisions a stepwise regression approach to develop multivariable models that can be used to determine high resolution time-series estimates of elemental concentrations or loads at discrete U.S. Geological Survey real-time stream surface water sites. These site-specific temporal models are based on continuous measurements of available discharge and (or) in situ sensor data (temperature, pH, turbidity, dissolved oxygen, specific conductance, and (or) fluorescent dissolved organic matter) as the explanatory variables. The data screening for both model types considered historical trends in analytical methods and detection quantitation limits, the extent of censored data, data density, and environmental relevance with respect to three U.S. Environmental Protection Agency water quality thresholds (drinking water guidelines, human health criteria, and aquatic life criteria). The result of this analysis was the production of a final list of potential models deemed suitable for further development based upon the data exclusion (or inclusion) scheme developed herein for each model type. In both cases, the final models included mostly the three crustal elements (iron, manganese, and aluminum) that are found at comparatively high concentrations in surface water, whereas most of the more pernicious elements were excluded from the final model lists owing to various data limitations. The one exception to this was arsenic, for which the existing data were sufficient at three U.S. Geological Survey real-time sites for potential further development of time-series models.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251033","programNote":"Water Quality Program","usgsCitation":"Marvin-DiPasquale, M.C., McCleskey, R.B., Sullivan, S.L., Root, J.C., Seawolf, S.M., Ransom, K.M., Wherry, S.A., Kakouros, E., and Baesman, S., 2025, Select elements of concern in surface water of three hydrologic basins (Delaware River, Illinois River, and Upper Colorado River)—Data screening for the development of spatial and temporal models: U.S. Geological Survey Open-File Report 2025–1033, 25 p., https://doi.org/10.3133/ofr20251033.","productDescription":"Report: v, 25 p.; 2 Data Releases","numberOfPages":"25","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-151463","costCenters":[{"id":37277,"text":"WMA - Earth 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\"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -109.01394213262869,\n              38.92294967500803\n            ],\n            [\n              -108.11331000789238,\n              37.96261643537598\n            ],\n            [\n              -107.25609607846874,\n              37.87702017756682\n            ],\n            [\n              -106.42057903672809,\n              37.90270776189081\n            ],\n            [\n              -105.6827182519238,\n              39.995255510900506\n            ],\n            [\n              -106.11675282418058,\n              40.47569501268029\n            ],\n            [\n              -107.6033195423279,\n              40.35178290538221\n            ],\n            [\n              -109.00309727963071,\n              39.41927893923872\n            ],\n            [\n              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href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Section I: Data Distribution by Element, Fraction and Hydrologic Basin</li><li>Section II: Analytical Methods and Detection Quantitation Limits</li><li>Section III. Analysis of Censored Data</li><li>Section IV: Median EoC Concentrations by Catchment</li><li>Section V: Decision Tree for Geospatial—Machine Learning Models</li><li>Section VI: Analysis of EoC Concentration Data at USGS Real-Time Sites</li><li>Section VII: Ongoing Modeling Efforts</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2025-06-23","noUsgsAuthors":false,"publicationDate":"2025-06-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Marvin-DiPasquale, Mark C. 0000-0002-8186-9167 mmarvin@usgs.gov","orcid":"https://orcid.org/0000-0002-8186-9167","contributorId":1485,"corporation":false,"usgs":true,"family":"Marvin-DiPasquale","given":"Mark","email":"mmarvin@usgs.gov","middleInitial":"C.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":941074,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCleskey, R. Blaine 0000-0002-2521-8052","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":205663,"corporation":false,"usgs":true,"family":"McCleskey","given":"R. 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,{"id":70268459,"text":"70268459 - 2025 - Widespread thiamine deficiency in California salmon linked to an anchovy-dominated marine prey base","interactions":[],"lastModifiedDate":"2025-06-26T16:16:28.64751","indexId":"70268459","displayToPublicDate":"2025-06-23T11:05:17","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3164,"text":"Proceedings of the National Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Widespread thiamine deficiency in California salmon linked to an anchovy-dominated marine prey base","docAbstract":"<p><span>Thiamine (vitamin B</span><sub>1</sub><span>) deficiency in marine systems is a globally significant threat to marine life. In 2020, newly hatched Chinook salmon (</span><i>Oncorhynchus tshawytscha</i><span>) fry in California’s Central Valley (CCV) hatcheries swam in corkscrew patterns and died at unusually high rates due to a lack of this essential vitamin. We subsequently investigated the impacts and causes of thiamine deficiency in California’s anadromous salmonids. Our laboratory studies defined the relationship between thiamine concentrations in Chinook salmon eggs and early life-stage survival in offspring; we used these data to develop a model that estimated 26 to 48% thiamine-dependent fry mortality across consecutive years (2020–2021) for winter-run Chinook salmon. We established an egg surveillance effort that found widespread thiamine deficiency in CCV Chinook salmon in 2020 and 2021, and emerging thiamine deficiency in Klamath River and Trinity River coho salmon (</span><i>Oncorhynchus kisutch</i><span>) in 2021. We determined that thiamine injections into adults raised egg thiamine concentrations above levels found to impact early life-stage survival and swimming behavior. Ocean surveys, prey nutrition, salmon gut contents, and stable isotope data link thiamine deficiency to an ocean diet dominated by a booming population of northern anchovy (</span><i>Engraulis mordax</i><span>). This forage fish had low thiamine, high lipid, and high thiaminase activity levels consistent with both a thiaminase and oxidative stress hypothesis for causing thiamine deficiency in California salmon. Our research suggests California’s already stressed anadromous salmonids will continue to be impacted by thiamine deficiency as long as their ocean forage base and diet are dominated by northern anchovy.</span></p>","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.2426011122","usgsCitation":"Mantua, N., Bell, H.M., Todgham, A.E., Daniels, M.E., Rinchard, J., Ludwig, J.R., Field, J., Lindley, S., Rowland, F.E., Richter, C.A., Walters, D., Finney, B., Haskell, A., Tillitt, D., Honeyfield, D.C., Lipscomb, T.N., Kwak, K., Kindopp, J., Cocherell, D.E., Ward, A., Williams, T.H., Harding, J., Fangue, N., Jeffres, C., Ruiz-Cooley, R., Litvin, S., Foott, S., Adkison, M., Kormos, B., Harte, P., Colwell, F.S., Suffridge, C., Shannon, K., Cranford, A., Ambrose, C., Reed, A.N., and Johnson, R.C., 2025, Widespread thiamine deficiency in California salmon linked to an anchovy-dominated marine prey base: Proceedings of the National Academy of Sciences, v. 122, no. 26, e2426011122, 12 p., https://doi.org/10.1073/pnas.2426011122.","productDescription":"e2426011122, 12 p.","ipdsId":"IP-168561","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":492035,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/12232615","text":"External Repository"},{"id":491392,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"122","issue":"26","noUsgsAuthors":false,"publicationDate":"2025-06-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Mantua, 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,{"id":70268674,"text":"70268674 - 2025 - Effects of total suspended solids on photomineralization of dissolved organic matter in the Peace-Athabasca Delta, Canada","interactions":[],"lastModifiedDate":"2025-07-08T23:03:02.24124","indexId":"70268674","displayToPublicDate":"2025-06-23T10:42:16","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9326,"text":"JGR Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Effects of total suspended solids on photomineralization of dissolved organic matter in the Peace-Athabasca Delta, Canada","docAbstract":"<p>Northern deltas receive chromophoric dissolved organic matter (CDOM) from their watersheds, which can be oxidized to carbon dioxide upon absorption of sunlight (i.e., photomineralized). These deltas also receive total suspended solids (TSS), which may shade sunlight absorption by CDOM, thus limiting photomineralization. To quantify this interaction for the first time, we measured photomineralization rates at 11sites in the Peace‐Athabasca Delta (PAD), Canada. We sampled waters during a July 2022 field campaign for TSS concentration, CDOM concentration (<sub><sup><i><span>α</span></i></sup>CDOM</sub>,λ), total downwelling sunlight attenuation coefficients (<i>K</i><sub><i>d</i></sub>,<sub>tot</sub>,<sub>λ</sub>), and light attenuation coefficients due to CDOM (<i>K</i><sub><i>d</i></sub>,<sub>CDOM,λ</sub>). TSS ranged from &lt;1 to 112 mg/L with an average of 19 ± 34 mg/L (mean ± one standard deviation), an order of magnitude lower than TSS reported in rivers entering the PAD earlier in the open water season. <sup><i><span>α</span></i></sup><sub>CDOM</sub>,λ at 305 nm (<sup><i><span>α</span></i></sup><sub>CDOM</sub>,<sub>305</sub>) ranged from 23.3 to 65.2 m<sup>-1</sup>, <i>K</i><sub><i>d</i></sub>,<sub>CDOM,305&nbsp;</sub><span>ranged from 26.3 to 74.1&nbsp;m</span><sup>−1</sup><span>, and <i>K</i><sub><i>d</i></sub>,<sub>tot,305&nbsp;</sub>ranged from 19.0 to 63.7&nbsp;m<sup>−1</sup>. &nbsp;The ratio of sunlight absorbed by CDOM relative to total sunlight attenuation <i>K<sub>d</sub></i>,<sub>CDOM,λ/<i>K</i><i>d</i>,tot,λ </sub>was inversely correlated with TSS concentration across all wavelengths measured (305–412&nbsp;nm). TSS thus limited photomineralization rates by shading CDOM from ultraviolet A and visible wavelengths of sunlight, reducing photomineralization rates by up to 56% compared to rates in the absence of TSS or other non-CDOM particles that attenuate sunlight. Results suggest that shifts in delta hydrology that affect TSS concentration likely influence photomineralization rates within TSS-rich northern deltas.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024JG008620","usgsCitation":"Dolan, W., Pavelsky, T.M., Davis, J., LaFramboise, N., Polik, C., and Cory, R., 2025, Effects of total suspended solids on photomineralization of dissolved organic matter in the Peace-Athabasca Delta, Canada: JGR Biogeosciences, v. 130, no. 6, e2024JG008620, 23 p., https://doi.org/10.1029/2024JG008620.","productDescription":"e2024JG008620, 23 p.","ipdsId":"IP-172665","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":491877,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","otherGeospatial":"Peace‐Athabasca Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -113.23884840686532,\n              59.99203702983766\n            ],\n            [\n              -113.23884840686532,\n              58.3291665449174\n            ],\n            [\n              -110.01835852259443,\n              58.3291665449174\n            ],\n            [\n              -110.01835852259443,\n              59.99203702983766\n            ],\n            [\n              -113.23884840686532,\n              59.99203702983766\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"130","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Dolan, Wayana 0000-0001-8405-4302","orcid":"https://orcid.org/0000-0001-8405-4302","contributorId":354442,"corporation":false,"usgs":true,"family":"Dolan","given":"Wayana","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":941615,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pavelsky, Tamlin M.","contributorId":258838,"corporation":false,"usgs":false,"family":"Pavelsky","given":"Tamlin","email":"","middleInitial":"M.","affiliations":[{"id":52312,"text":"Department of Geological Sciences, University of North Carolina, Chapel Hill, North Carolina, USA","active":true,"usgs":false}],"preferred":false,"id":941616,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davis, Julianne","contributorId":357497,"corporation":false,"usgs":false,"family":"Davis","given":"Julianne","affiliations":[{"id":27051,"text":"University of North Carolina at Chapel Hill","active":true,"usgs":false}],"preferred":false,"id":941617,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"LaFramboise, Nathan","contributorId":357499,"corporation":false,"usgs":false,"family":"LaFramboise","given":"Nathan","affiliations":[{"id":85432,"text":"University of Michigan at Ann Arbor","active":true,"usgs":false}],"preferred":false,"id":941618,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Polik, Catherine","contributorId":357500,"corporation":false,"usgs":false,"family":"Polik","given":"Catherine","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":941619,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cory, Rose","contributorId":357501,"corporation":false,"usgs":false,"family":"Cory","given":"Rose","affiliations":[{"id":85432,"text":"University of Michigan at Ann Arbor","active":true,"usgs":false}],"preferred":false,"id":941620,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70269325,"text":"70269325 - 2025 - Urban trees and cooling: A review of the recent literature (2018 to 2024)","interactions":[],"lastModifiedDate":"2025-07-18T15:35:34.058235","indexId":"70269325","displayToPublicDate":"2025-06-23T10:32:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":876,"text":"Arboriculture and Urban Forestry","active":true,"publicationSubtype":{"id":10}},"title":"Urban trees and cooling: A review of the recent literature (2018 to 2024)","docAbstract":"<p><span>Urban trees mitigate extreme heat through shading and evapotranspiration, but cooling effectiveness varies with tree traits, spatial configurations, and climate. This systematic mapping review synthesizes findings from 115 studies (2018 to 2024) using RepOrting standards for Systematic Evidence Syntheses (ROSES) protocols. Studies were categorized based on geographic location, climate zone, and heat metric (e.g., land surface temperature or air temperature), highlighting a geographic skew toward North America and Asia and underrepresentation of arid and tropical zones. Findings show that urban trees consistently outperform other vegetation types in cooling, particularly in hotter, drier climates when water is available. Dense, tall canopies provide broad-scale cooling, while mixed plantings with shrubs or grass enhance local effects. However, conflicting conclusions arise from using land surface versus air temperature, as these metrics respond differently to tree canopy. Key knowledge gaps include the role of native versus non-native species in arid climates, the effect of urban morphology on cooling, and tree performance during extreme heat. Most studies remain small-scale and limited in generalizability, emphasizing the continued need for city-specific knowledge. This review highlights urban trees as vital for heat mitigation and the importance of harmonizing research objectives and methods to inform planning and practice effectively.</span></p>","language":"English","publisher":"International Society of Arboriculture","doi":"10.48044/jauf.2025.023","usgsCitation":"Alonzo, M., Ibsen, P.C., and Locke, D., 2025, Urban trees and cooling: A review of the recent literature (2018 to 2024): Arboriculture and Urban Forestry, v. 51, no. 4, jauf.2025.023, 24 p., https://doi.org/10.48044/jauf.2025.023.","productDescription":"jauf.2025.023, 24 p.","ipdsId":"IP-174322","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":492868,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.48044/jauf.2025.023","text":"Publisher Index Page"},{"id":492547,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-06-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Alonzo, Michael","contributorId":358300,"corporation":false,"usgs":false,"family":"Alonzo","given":"Michael","affiliations":[{"id":48453,"text":"American University","active":true,"usgs":false}],"preferred":false,"id":943463,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ibsen, Peter Christian 0000-0002-3436-9100","orcid":"https://orcid.org/0000-0002-3436-9100","contributorId":260735,"corporation":false,"usgs":true,"family":"Ibsen","given":"Peter","email":"","middleInitial":"Christian","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":943464,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Locke, Dexter","contributorId":358304,"corporation":false,"usgs":false,"family":"Locke","given":"Dexter","affiliations":[{"id":40027,"text":"United States Forest Service","active":true,"usgs":false}],"preferred":false,"id":943465,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70272025,"text":"70272025 - 2025 - Automated methods for processing camera trap video data for distance sampling","interactions":[],"lastModifiedDate":"2025-11-13T16:59:28.553199","indexId":"70272025","displayToPublicDate":"2025-06-23T09:52:49","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2984,"text":"Pacific Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Automated methods for processing camera trap video data for distance sampling","docAbstract":"<p>Context</p><p><span>Population monitoring is an essential need for tracking biodiversity and judging efficacy of conservation management actions, both globally and in the Pacific. However, population monitoring efforts are often temporally inconsistent and limited to small scales. Motion-activated cameras (‘camera traps’)&nbsp;offer a way to cost-effectively monitor populations, but they also generate large amounts of data that are time intensive to process.</span></p><p><span>Aims</span></p><p><span>To develop an automated pipeline for processing videos of ungulates (Philippine deer,&nbsp;<i>Rusa marianna</i>;&nbsp;and pigs,&nbsp;<i>Sus scrofa</i>) on Andersen Air Force Base in Guam.</span></p><p><span>Methods</span></p><p><span>We processed camera videos with a machine learning model for object detection and classification. To estimate density using distance sampling methods, we used a separate machine learning model to estimate the distance of target animals from the camera. We compared density estimates generated using manual versus automated methods and assessed accuracy and processing time saved.</span></p><p><span>Key results</span></p><p><span>The object detection and classification model achieved an overall accuracy &gt;80% and F1 score ≥0.9 and saved 36.9&nbsp;h of processing time. The automated distance estimation was fairly accurate, with a 1.1&nbsp;m (±1.4&nbsp;m) difference from manual distance estimates, and saved 16.8&nbsp;h of processing time. Density estimates did not differ substantially between manual and automated distance estimation.</span></p><p><span>Conclusions</span></p><p><span>Machine learning models accurately processed camera videos, allowing efficient estimates of density from camera data.</span></p><p><span>Implications</span></p><p><span>Further adoption of motion-activated cameras coupled with automated processing could lead to continuous, large-scale monitoring of populations, helping to understand and address changes in biodiversity.</span></p>","language":"English","publisher":"CSIRO Publishing","doi":"10.1071/PC25008","usgsCitation":"Bak, T., Camp, R.J., Burt, M.D., and Vogt, S., 2025, Automated methods for processing camera trap video data for distance sampling: Pacific Conservation Biology, v. 31, no. 4, PC25008, 11 p., https://doi.org/10.1071/PC25008.","productDescription":"PC25008, 11 p.","ipdsId":"IP-166069","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":496425,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1071/pc25008","text":"Publisher Index Page"},{"id":496411,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Guam","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              144.8850934540036,\n              13.611360165979548\n            ],\n            [\n              144.8850934540036,\n              13.529004288552699\n            ],\n            [\n              144.95944459854542,\n              13.529004288552699\n            ],\n            [\n              144.95944459854542,\n              13.611360165979548\n            ],\n            [\n              144.8850934540036,\n              13.611360165979548\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"31","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-06-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Bak, Trevor","contributorId":292157,"corporation":false,"usgs":false,"family":"Bak","given":"Trevor","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":949759,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Camp, Richard J. 0000-0001-7008-923X rick_camp@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-923X","contributorId":189964,"corporation":false,"usgs":true,"family":"Camp","given":"Richard","email":"rick_camp@usgs.gov","middleInitial":"J.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":949760,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burt, Matthew D.","contributorId":361976,"corporation":false,"usgs":false,"family":"Burt","given":"Matthew","middleInitial":"D.","affiliations":[{"id":84860,"text":"Naval Facilities Marianas","active":true,"usgs":false}],"preferred":false,"id":949761,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vogt, Scott","contributorId":355926,"corporation":false,"usgs":false,"family":"Vogt","given":"Scott","affiliations":[{"id":84860,"text":"Naval Facilities Marianas","active":true,"usgs":false}],"preferred":false,"id":949762,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70275012,"text":"70275012 - 2025 - Timing of Steller’s Eider remigial molt has delayed over 26-year span","interactions":[],"lastModifiedDate":"2026-04-10T15:11:37.587371","indexId":"70275012","displayToPublicDate":"2025-06-23T00:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2409,"text":"Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Timing of Steller’s Eider remigial molt has delayed over 26-year span","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>The Steller’s Eider is a sea duck that uses specific molting areas in lagoons in southwest Alaska, and these molting populations have declined in recent decades. The annual flight feather molt is a significant stage in avian life-history. The focus of this study was to characterize the phenology of Steller’s Eider flight feather molt timing and explore if molt timing is (1) earlier, (2) remained unchanged, or (3) is delayed. We developed a flight feather growth function throughout molt using data from captive birds. We used measurements from free-ranging birds over a 26-year period to investigate variation in molt start dates among sexes, years, and locations. Results indicate that fall molt timing has delayed over 26&nbsp;years for Steller’s Eiders in our study area. We speculate that drivers of observed change in timing may be related to changes in seasonal Arctic environmental conditions. Our findings can be used by managers to inform timing of population surveys.</span></span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s10336-025-02303-2","usgsCitation":"Ulman, S.E., Hollmen, T.E., and Flint, P.L., 2025, Timing of Steller’s Eider remigial molt has delayed over 26-year span: Journal of Ornithology, v. 167, p. 189-197, https://doi.org/10.1007/s10336-025-02303-2.","productDescription":"9 p.","startPage":"189","endPage":"197","ipdsId":"IP-141232","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":502685,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"southwest Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -179.59962415098911,\n              52.10437509841003\n            ],\n            [\n              -179.4861183653336,\n              50.45182806852918\n            ],\n            [\n              -165.82220413872585,\n              52.707733413986745\n            ],\n            [\n              -149.44879640767203,\n              57.167916274932196\n            ],\n            [\n              -151.3650372403525,\n              61.39831742623903\n            ],\n            [\n              -158.62399129110142,\n              60.303497443694795\n            ],\n            [\n              -162.688181341742,\n              58.619433781920065\n            ],\n            [\n              -160.26363272511944,\n              57.38846720277435\n            ],\n            [\n              -165.94179631757575,\n              55.23170376840372\n            ],\n            [\n              -179.59962415098911,\n              52.10437509841003\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"167","noUsgsAuthors":false,"publicationDate":"2025-06-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Ulman, Sadie E.","contributorId":305922,"corporation":false,"usgs":false,"family":"Ulman","given":"Sadie","middleInitial":"E.","affiliations":[{"id":16211,"text":"Alaska SeaLife Center","active":true,"usgs":false}],"preferred":false,"id":959193,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hollmen, Tuula E.","contributorId":211728,"corporation":false,"usgs":false,"family":"Hollmen","given":"Tuula","email":"","middleInitial":"E.","affiliations":[{"id":16211,"text":"Alaska SeaLife Center","active":true,"usgs":false}],"preferred":false,"id":959194,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flint, Paul L. 0000-0002-8758-6993 pflint@usgs.gov","orcid":"https://orcid.org/0000-0002-8758-6993","contributorId":3284,"corporation":false,"usgs":true,"family":"Flint","given":"Paul","email":"pflint@usgs.gov","middleInitial":"L.","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":959195,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70271985,"text":"70271985 - 2025 - Dynamic environments generate geographic fluctuations in population structure of an inland shorebird","interactions":[],"lastModifiedDate":"2025-09-30T15:31:21.830566","indexId":"70271985","displayToPublicDate":"2025-06-22T10:27:51","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Dynamic environments generate geographic fluctuations in population structure of an inland shorebird","docAbstract":"<p><span>Species distributions depend on fine-scale ecological processes and population growth trajectories and are influenced by climate and weather changes. However, the characterization of inter-population dynamics underlying the geographic distributions of migratory organisms remains challenging. We adopted a stable isotope approach to investigate the dynamic population geography of a terrestrial migratory bird across multiple generations. We found that the age-specific geographic source of Mountain Plovers sampled during winter shifted over four years across a latitudinal gradient. Moreover, our results show that differential effects of climate on the probability of occurrence at the wintering ground could be a driver of population turnover in a migratory species adapted to extreme environmental stochasticity (i.e., drought occurrence). We propose a framework for the identification of spatial and temporal climate and weather components and respective effects on population composition and recruitment into migratory wintering populations. Our approach is useful to reveal population compositional shifts through hydrogen stable isotope analysis while accounting for cumulative drought effects.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70312","usgsCitation":"Contina, A., Yanco, S.W., Pierce, A.K., Vander Zanden, H.B., Stricker, C.A., Bowen, G.J., and Wunder, M.B., 2025, Dynamic environments generate geographic fluctuations in population structure of an inland shorebird: Ecosphere, v. 16, no. 6, e70312, 13 p., https://doi.org/10.1002/ecs2.70312.","productDescription":"e70312, 13 p.","ipdsId":"IP-143697","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":496329,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70312","text":"Publisher Index Page"},{"id":496265,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Contina, Andrea","contributorId":341849,"corporation":false,"usgs":false,"family":"Contina","given":"Andrea","email":"","affiliations":[{"id":78410,"text":"University of Texas Rio Grande Valley","active":true,"usgs":false}],"preferred":false,"id":949605,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yanco, Scott W.","contributorId":361882,"corporation":false,"usgs":false,"family":"Yanco","given":"Scott","middleInitial":"W.","affiliations":[{"id":37550,"text":"Yale University","active":true,"usgs":false}],"preferred":false,"id":949606,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pierce, Allison K.","contributorId":361884,"corporation":false,"usgs":false,"family":"Pierce","given":"Allison","middleInitial":"K.","affiliations":[{"id":13293,"text":"University of Colorado - Denver","active":true,"usgs":false}],"preferred":false,"id":949607,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vander Zanden, Hanna B.","contributorId":361886,"corporation":false,"usgs":false,"family":"Vander Zanden","given":"Hanna","middleInitial":"B.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":949608,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":949609,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bowen, Gabriel J.","contributorId":361889,"corporation":false,"usgs":false,"family":"Bowen","given":"Gabriel","middleInitial":"J.","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":949610,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wunder, Michael B.","contributorId":361892,"corporation":false,"usgs":false,"family":"Wunder","given":"Michael","middleInitial":"B.","affiliations":[{"id":13293,"text":"University of Colorado - Denver","active":true,"usgs":false}],"preferred":false,"id":949611,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70269057,"text":"70269057 - 2025 - Leveraging wildfire to augment forest management and amplify forest resilience","interactions":[],"lastModifiedDate":"2025-07-15T14:16:45.890932","indexId":"70269057","displayToPublicDate":"2025-06-22T09:12:45","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Leveraging wildfire to augment forest management and amplify forest resilience","docAbstract":"<p><span>Successive catastrophic wildfire seasons in western North America have escalated the urgency around reducing fire risk to communities and ecosystems. In historically frequent-fire forests, fuel buildup as a result of fire exclusion is contributing to increased fire severity. The probability of high-severity fire can be reduced by active forest management that reduces fuels, prompting federal and state agencies to commit significant resources to increase the pace and scale of fuel reduction treatments. However, lower severity areas of wildfires also have the potential to act as “treatments,” and even catastrophic fires with large areas of high severity can still have substantial areas of lower severity fire that may be improving forest conditions locally. We quantified active management and wildfire severity across yellow pine and mixed conifer (YPMC) forests in the Sierra Nevada of California over a 22-year period (2001–2022). We did not detect increases in the area treated through time, but the area of beneficial wildfire (low to moderate severity) increased substantially, exceeding active treatment area in 8 of 22 years. Overall, beneficial wildfire treated ~17% more area than all treatments combined, and roughly four times more area than fire-related treatments alone. We then used disturbance history to evaluate resistance to high-severity wildfire and forest loss across the YPMC range. Of the 2.3 million ha YPMC of forests in 2001, 20% lost mature forests due to high-severity fire by 2022, which is nearly half of all YPMC area burned. Most of the landscape (47%) remains at risk of high-severity fire because it had no restorative disturbances, but 33% of the study area has some level of resistance to high-severity wildfire. In these areas, resistance will need to be enhanced and maintained over time via active management or managed wildfire, but these treatment needs will likely outpace capacity even under optimistic implementation scenarios. Given limited resources for implementing active management and the likelihood of a more fiery future, incorporating beneficial wildfire into landscape-level treatment planning has the potential to amplify the impact of active management treatments.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70306","usgsCitation":"Shive, K., Knight, C.A., Steel, Z.L., Stanley, C., and Wilson, K., 2025, Leveraging wildfire to augment forest management and amplify forest resilience: Ecosphere, v. 16, no. 6, e70306, 23 p., https://doi.org/10.1002/ecs2.70306.","productDescription":"e70306, 23 p.","ipdsId":"IP-171515","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":492491,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70306","text":"Publisher Index Page"},{"id":492239,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Sierra Nevada mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -117.49191600648966,\n              35.65099754384805\n            ],\n            [\n              -118.41892399844924,\n              37.519967279694015\n            ],\n            [\n              -119.44265195907964,\n              39.671467955184795\n            ],\n            [\n              -120.0832792618448,\n              40.51478566722406\n            ],\n            [\n              -122.12439984049409,\n              40.20490455276678\n            ],\n            [\n              -121.63327673827555,\n              39.70452920126846\n            ],\n            [\n              -121.05326397512911,\n              38.48323730930633\n            ],\n            [\n              -118.5302083539183,\n              35.15085062254475\n            ],\n            [\n              -117.49191600648966,\n              35.65099754384805\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"16","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Shive, Kristen I. 0000-0002-5633-2528","orcid":"https://orcid.org/0000-0002-5633-2528","contributorId":352132,"corporation":false,"usgs":false,"family":"Shive","given":"Kristen I.","affiliations":[{"id":84117,"text":"University of California Cooperative Extension and Department of Environmental Science","active":true,"usgs":false}],"preferred":false,"id":943173,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knight, Clarke Alexandra 0000-0003-0002-6959","orcid":"https://orcid.org/0000-0003-0002-6959","contributorId":288487,"corporation":false,"usgs":true,"family":"Knight","given":"Clarke","email":"","middleInitial":"Alexandra","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":943174,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Steel, Zachary L 0000-0002-1659-3141","orcid":"https://orcid.org/0000-0002-1659-3141","contributorId":329821,"corporation":false,"usgs":false,"family":"Steel","given":"Zachary","email":"","middleInitial":"L","affiliations":[{"id":6643,"text":"University of California - Berkeley","active":true,"usgs":false}],"preferred":false,"id":943175,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stanley, Charlotte K. 0000-0002-5019-4427","orcid":"https://orcid.org/0000-0002-5019-4427","contributorId":358047,"corporation":false,"usgs":false,"family":"Stanley","given":"Charlotte K.","affiliations":[{"id":85576,"text":"The Nature Conservancy, San Francisco, California","active":true,"usgs":false}],"preferred":false,"id":943176,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wilson, Kristen N. 0000-0003-4769-2086","orcid":"https://orcid.org/0000-0003-4769-2086","contributorId":358048,"corporation":false,"usgs":false,"family":"Wilson","given":"Kristen N.","affiliations":[{"id":85576,"text":"The Nature Conservancy, San Francisco, California","active":true,"usgs":false}],"preferred":false,"id":943177,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70268392,"text":"70268392 - 2025 - Seasonal rotation of California pocket beaches","interactions":[],"lastModifiedDate":"2025-06-24T14:55:15.748125","indexId":"70268392","displayToPublicDate":"2025-06-22T07:49:52","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal rotation of California pocket beaches","docAbstract":"Pocket beaches are short, headland-bound coastal landforms that may exhibit shoreline rotation in response to time-varying wave conditions. Here we examine the presence, location and style of pocket beach rotation along the 1700 km coast of California using a comprehensive 22-year satellite-derived shoreline dataset. These analyses identify 23 pocket beaches that exhibit annual cycles of rotation, and these beaches have two general types. In southern California, pocket beaches rotate clockwise, or towards the south, in the winter season (‘winter southward’ transport of sand). These beaches have symmetric rotation patterns and strong seasonality in wave direction (winter west swell and summer south swell), which is indicative of rotation from seasonal oscillations in longshore sediment transport. In northern California, pocket beaches rotate counterclockwise, or towards the north, in the winter (‘winter northward’ transport of sand), and they are characterized by strong asymmetry (winter beach is overall narrower than the summer beach) and strong seasonality in wave power. Rotation of these northern California beaches is related to both cross-shore and longshore sediment transport, caused by large west-to-northwest swell of the winter and smaller northwest wind waves of the summer. We acknowledge that many more rotating pocket beaches likely exist in California owing to the undersampling of the smallest beaches in the source data. In the end, we conclude that seasonally rotating pocket beaches are a fundamental coastal landform type of the California coast, owing to its wave seasonality and rocky and cliff-backed morphology.","language":"English","publisher":"British Society for Geomorphology","doi":"10.1002/esp.70115","usgsCitation":"Warrick, J.A., Buscombe, D.D., Vos, K., Ritchie, A., and Battalio, B., 2025, Seasonal rotation of California pocket beaches: Earth Surface Processes and Landforms, v. 50, no. 8, e70115, 21 p., https://doi.org/10.1002/esp.70115.","productDescription":"e70115, 21 p.","ipdsId":"IP-174144","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":491464,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/esp.70115","text":"Publisher Index Page"},{"id":491194,"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              -124.53754214833282,\n              42.01939137685051\n            ],\n            [\n              -124.58232174888042,\n              40.669027141445056\n            ],\n            [\n              -123.78043869005253,\n              38.57555641017706\n            ],\n            [\n              -122.29825799326892,\n              36.337324446738684\n            ],\n            [\n              -117.97924443937916,\n              32.361668474994005\n            ],\n            [\n              -116.72630257932812,\n              32.61972232338513\n            ],\n            [\n              -121.30393894039285,\n              36.51381193501618\n            ],\n            [\n              -123.36405835149245,\n              39.878218221096176\n            ],\n            [\n              -123.38617364905127,\n              41.9363016901882\n            ],\n            [\n              -124.53754214833282,\n              42.01939137685051\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"50","issue":"8","noUsgsAuthors":false,"publicationDate":"2025-06-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Warrick, Jonathan A. 0000-0002-0205-3814 jwarrick@usgs.gov","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":167736,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan","email":"jwarrick@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":941188,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buscombe, Daniel D. 0000-0001-6217-5584","orcid":"https://orcid.org/0000-0001-6217-5584","contributorId":198817,"corporation":false,"usgs":false,"family":"Buscombe","given":"Daniel","middleInitial":"D.","affiliations":[],"preferred":false,"id":941189,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vos, Kilian 0000-0002-9518-1582","orcid":"https://orcid.org/0000-0002-9518-1582","contributorId":229435,"corporation":false,"usgs":false,"family":"Vos","given":"Kilian","email":"","affiliations":[{"id":27304,"text":"University of New South Wales","active":true,"usgs":false}],"preferred":false,"id":941190,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ritchie, Andrew C. 0000-0001-5826-9983","orcid":"https://orcid.org/0000-0001-5826-9983","contributorId":333630,"corporation":false,"usgs":true,"family":"Ritchie","given":"Andrew C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":941191,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Battalio, Bob","contributorId":357321,"corporation":false,"usgs":false,"family":"Battalio","given":"Bob","affiliations":[{"id":85409,"text":"Consulting Coastal Engineer, Pacifica, California, USA","active":true,"usgs":false}],"preferred":false,"id":941192,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70273984,"text":"70273984 - 2025 - Niche partitioning among three apex piscivorous fishes: Evidence of limited intraguild predation","interactions":[],"lastModifiedDate":"2026-02-20T16:24:16.225139","indexId":"70273984","displayToPublicDate":"2025-06-21T10:13:08","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Niche partitioning among three apex piscivorous fishes: Evidence of limited intraguild predation","docAbstract":"<p><span>This study aimed to understand the ecological relationship among burbot&nbsp;</span><i>Lota lota</i><span>, brown trout&nbsp;</span><i>Salmo trutta</i><span>&nbsp;and lake trout&nbsp;</span><i>Salvelinus namaycush</i><span>, with a focus on burbot, a species of greatest conservation need in Wyoming. While we hypothesised a reciprocal intraguild predation dynamic, where competition and predation occur between predators based on size or age structure, our findings provided limited support for this hypothesis. Both dietary overlap and trophic position were minimal among burbot, brown trout and lake trout. Instances of reciprocal predation were rare; no predation between burbot and lake trout was observed; and brown trout was the only species consumed by all predators (burbot 0.02 mean proportion by weight; lake trout 0.09 mean proportion by weight). Predation by brown trout on burbot was negligible, contributing only 0.01 to the mean proportion by weight and frequency of occurrence. Additionally, both burbot and brown trout were less piscivorous than expected, with fish comprising 0.36 and 0.17 of their mean proportion by weight in their overall diets, respectively. Overall, our findings suggest that these predators coexist with limited competitive or predatory interactions, likely due to differences in prey selection.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/eff.70011","usgsCitation":"Eckelbecker, R.W., Guy, C.S., Gerrity, P.C., Deromedi, J.W., Neebling, T.E., Smith, M.A., 2025, Niche partitioning among three apex piscivorous fishes: Evidence of limited intraguild predation: Ecology of Freshwater Fish, v. 34, no. 3, e70011, 13 p., https://doi.org/10.1111/eff.70011.","productDescription":"e70011, 13 p.","ipdsId":"IP-174794","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500577,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/eff.70011","text":"Publisher Index Page"},{"id":500348,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Torrey Creek drainage","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -109.59097274253836,\n              43.48793506318529\n            ],\n            [\n              -109.59097274253836,\n              43.41362905156234\n            ],\n            [\n              -109.50333351033318,\n              43.41362905156234\n            ],\n            [\n              -109.50333351033318,\n              43.48793506318529\n            ],\n            [\n              -109.59097274253836,\n              43.48793506318529\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"34","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-06-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Eckelbecker, Robert W.","contributorId":366497,"corporation":false,"usgs":false,"family":"Eckelbecker","given":"Robert","middleInitial":"W.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":955996,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guy, Christopher S. 0000-0002-9936-4781 cguy@usgs.gov","orcid":"https://orcid.org/0000-0002-9936-4781","contributorId":2876,"corporation":false,"usgs":true,"family":"Guy","given":"Christopher","email":"cguy@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true}],"preferred":true,"id":955997,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gerrity, Paul C.","contributorId":366498,"corporation":false,"usgs":false,"family":"Gerrity","given":"Paul","middleInitial":"C.","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":955998,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Deromedi, Joe W.","contributorId":366499,"corporation":false,"usgs":false,"family":"Deromedi","given":"Joe","middleInitial":"W.","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":955999,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Neebling, Travis E.","contributorId":366500,"corporation":false,"usgs":false,"family":"Neebling","given":"Travis","middleInitial":"E.","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":956000,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Mark A.","contributorId":366501,"corporation":false,"usgs":false,"family":"Smith","given":"Mark","middleInitial":"A.","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":956001,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70268393,"text":"70268393 - 2025 - A method to obtain remotely sensed grain size distributions from nonplanar granular deposits","interactions":[],"lastModifiedDate":"2025-06-24T14:50:40.182916","indexId":"70268393","displayToPublicDate":"2025-06-21T09:42:21","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5026,"text":"Earth and Space Science","active":true,"publicationSubtype":{"id":10}},"title":"A method to obtain remotely sensed grain size distributions from nonplanar granular deposits","docAbstract":"<p><span>Constraining the grain size distribution of granular deposits with complex surfaces is difficult with existing approaches. Field and laboratory techniques are time consuming and limited by the maximum grain size that laboratories can accommodate. In this study, we present a new method to identify the coarse fraction of the grain size distribution at a debris-flow fan deposit surveyed with terrestrial laser scanning (TLS) in Glenwood Canyon, Colorado, USA. This method is a novel grain segmentation algorithm developed for application to point cloud data of deposits with complex surfaces and angular grains ranging in size from centimeters to a meter. This approach combines an existing random forest machine learning method with a novel iterative clustering algorithm. We compared the grain size distribution from our algorithm with a Wolman pebble count conducted in the field, and found a root mean squared error of less than 2&nbsp;cm from the 5th to 95th percentile of the grain size distribution of grains ranging from cobble to boulder sized (6.3–78&nbsp;cm in our application). Finally, we compared our new algorithm with an existing open-source grain segregation algorithm, and our method outperformed the selected alternative when applied to the debris-flow deposit point cloud.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025EA004376","usgsCitation":"Jacobson, H., Walton, G., Barnhart, K.R., and Rengers, F.K., 2025, A method to obtain remotely sensed grain size distributions from nonplanar granular deposits: Earth and Space Science, v. 12, e2025EA004376, 18 p., https://doi.org/10.1029/2025EA004376.","productDescription":"e2025EA004376, 18 p.","ipdsId":"IP-159354","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":491499,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025ea004376","text":"Publisher Index Page"},{"id":491193,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Colorado River, Grizzly Creek Fire area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -107.03314321384126,\n              39.68363920671021\n            ],\n            [\n              -107.34507070999592,\n              39.68363920671021\n            ],\n            [\n              -107.34507070999592,\n              39.525758441449966\n            ],\n            [\n              -107.03314321384126,\n              39.525758441449966\n            ],\n            [\n              -107.03314321384126,\n              39.68363920671021\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"12","noUsgsAuthors":false,"publicationDate":"2025-06-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Jacobson, Hayden L. 0000-0003-4777-6626","orcid":"https://orcid.org/0000-0003-4777-6626","contributorId":357323,"corporation":false,"usgs":false,"family":"Jacobson","given":"Hayden L.","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":941193,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walton, Gabriel 0000-0002-9214-0021","orcid":"https://orcid.org/0000-0002-9214-0021","contributorId":357324,"corporation":false,"usgs":false,"family":"Walton","given":"Gabriel","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":941194,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":941195,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":941196,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70271170,"text":"70271170 - 2025 - A northeast-dipping zone of low frequency earthquakes at the southern edge of Cascadia subduction","interactions":[],"lastModifiedDate":"2025-09-02T15:23:31.835723","indexId":"70271170","displayToPublicDate":"2025-06-21T07:47:45","publicationYear":"2025","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":"A northeast-dipping zone of low frequency earthquakes at the southern edge of Cascadia subduction","docAbstract":"<p><span>Tectonic tremor monitoring occasionally detects events in an anomalous zone in southern Cascadia, 50–100&nbsp;km west of the main tremor band, near the expected southern edge of the subducting Gorda slab at the Mendocino triple junction. To investigate the geometry and temporal behavior of this tremor, we examine its constituent low-frequency earthquakes (LFEs) by developing 27 stacked LFE waveform templates that we use to detect events from 2018 to 2024. We then relocate LFE sources together with regional seismicity. We find that LFE hypocenters form a northeast-dipping alignment at 22–29&nbsp;km depth, extending eastward from a zone of micro-earthquakes, ∼15&nbsp;km south of the southern edge of Gorda slab seismicity. These LFE families exhibit small bursts of activity every few days. Considering the strong world-wide association of tremor and LFEs with high slip-rate, plate-bounding faults, we hypothesize these LFEs may demark the southern edge of Cascadia subduction.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025GL116116","usgsCitation":"Shelly, D.R., Goldberg, D.E., Wech, A., and Thomas, A., 2025, A northeast-dipping zone of low frequency earthquakes at the southern edge of Cascadia subduction: Geophysical Research Letters, v. 52, no. 12, e2025GL116116, 10 p., https://doi.org/10.1029/2025GL116116.","productDescription":"e2025GL116116, 10 p.","ipdsId":"IP-176803","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":495177,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025gl116116","text":"Publisher Index Page"},{"id":495120,"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              -124.69502883019663,\n              40.90524515269453\n            ],\n            [\n              -124.69502883019663,\n              39.09452043926575\n            ],\n            [\n              -122.5274521203633,\n              39.09452043926575\n            ],\n            [\n              -122.5274521203633,\n              40.90524515269453\n            ],\n            [\n              -124.69502883019663,\n              40.90524515269453\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"52","issue":"12","noUsgsAuthors":false,"publicationDate":"2025-06-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Shelly, David R. 0000-0003-2783-5158 dshelly@usgs.gov","orcid":"https://orcid.org/0000-0003-2783-5158","contributorId":206750,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":947637,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goldberg, Dara Elyse 0000-0002-0923-3180","orcid":"https://orcid.org/0000-0002-0923-3180","contributorId":289891,"corporation":false,"usgs":true,"family":"Goldberg","given":"Dara","email":"","middleInitial":"Elyse","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":947638,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wech, Aaron 0000-0003-4983-1991","orcid":"https://orcid.org/0000-0003-4983-1991","contributorId":202561,"corporation":false,"usgs":true,"family":"Wech","given":"Aaron","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":947639,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thomas, Amanda","contributorId":195086,"corporation":false,"usgs":false,"family":"Thomas","given":"Amanda","affiliations":[],"preferred":false,"id":947640,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70271930,"text":"70271930 - 2025 - Beak deformities in Buteo jamaicensis (Red-tailed Hawk) signal possible emergence of avian keratin disorder among raptors","interactions":[],"lastModifiedDate":"2025-12-01T16:43:31.171083","indexId":"70271930","displayToPublicDate":"2025-06-20T10:15:57","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10109,"text":"Ornithology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Beak deformities in <i>Buteo jamaicensis</i> (Red-tailed Hawk) signal possible emergence of avian keratin disorder among raptors","title":"Beak deformities in Buteo jamaicensis (Red-tailed Hawk) signal possible emergence of avian keratin disorder among raptors","docAbstract":"<p><span>Beginning in the late 1990s, an unusual cluster of beak deformities was observed among&nbsp;</span><i>Buteo jamaicensis</i><span>&nbsp;(Red-tailed Hawk) in the Pacific coastal region of North America. However, information was not available to determine the scope of this problem nor to assess a potential link between beak deformities in hawks and avian keratin disorder (AKD), an emerging disease primarily among passerines that causes overgrowth of the keratinized layer of the beak. To help address these knowledge gaps, we compiled capture records, citizen science reports, and other available data from across North America. As part of a long-term raptor monitoring program in Washington, we detected anomalously high rates of beak deformities in 29% and other keratin abnormalities in an additional 19% of&nbsp;</span><i>B. jamaicensis</i><span>&nbsp;between 2014 and 2021. We also identified more than 100 other AKD-like cases in&nbsp;</span><i>B. jamaicensis</i><span>, largely clustered in the Pacific coastal region, with most reports from 2000 to present. Pathologic examination of affected hawks revealed gross and microscopic features consistent with AKD in passerines, while shared epidemiological patterns, including timing of emergence, provided further evidence that this disease may impact an ecologically diverse suite of species. We detected poecivirus, a novel avian virus implicated as a likely cause of AKD in&nbsp;</span><i>Poecile atricapillus</i><span>&nbsp;(Black-capped Chickadee), in 1 out of 10 swabs collected from live&nbsp;</span><i>B. jamaicensis</i><span>, with gross beak deformities, suggesting the possibility of a shared viral etiology across species. However, additional work would be needed to determine the underlying cause of beak deformities in and their potential impacts on&nbsp;</span><i>B. jamaicensis</i><span>. By documenting this cluster of beak deformities, we hope to raise awareness among the ornithological community, including raptor researchers, to better track current and future outbreaks of beak deformities and related conditions.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/ornithology/ukaf023","usgsCitation":"Van Hemert, C.R., Handel, C.M., Cottrell, S., Gerik, D., and Bildfell, R.J., 2025, Beak deformities in Buteo jamaicensis (Red-tailed Hawk) signal possible emergence of avian keratin disorder among raptors: Ornithology, v. 142, no. 4, ukaf023, 11 p., https://doi.org/10.1093/ornithology/ukaf023.","productDescription":"ukaf023, 11 p.","ipdsId":"IP-174862","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":496153,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ornithology/ukaf023","text":"Publisher Index Page"},{"id":496012,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"142","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-06-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Van Hemert, Caroline R. 0000-0002-6858-7165 cvanhemert@usgs.gov","orcid":"https://orcid.org/0000-0002-6858-7165","contributorId":3592,"corporation":false,"usgs":true,"family":"Van Hemert","given":"Caroline","email":"cvanhemert@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":949412,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Handel, Colleen M. 0000-0002-0267-7408 cmhandel@usgs.gov","orcid":"https://orcid.org/0000-0002-0267-7408","contributorId":3067,"corporation":false,"usgs":true,"family":"Handel","given":"Colleen","email":"cmhandel@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":949413,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cottrell, Susan","contributorId":361770,"corporation":false,"usgs":false,"family":"Cottrell","given":"Susan","affiliations":[{"id":86348,"text":"Raptor Studies Northwest","active":true,"usgs":false}],"preferred":false,"id":949414,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gerik, Danielle Elizabeth 0000-0002-2906-1195","orcid":"https://orcid.org/0000-0002-2906-1195","contributorId":292922,"corporation":false,"usgs":true,"family":"Gerik","given":"Danielle Elizabeth","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":949415,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bildfell, Robert J.","contributorId":361771,"corporation":false,"usgs":false,"family":"Bildfell","given":"Robert","middleInitial":"J.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":949416,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70271508,"text":"70271508 - 2025 - Impact of gas/liquid phase change of CO2 during injection for sequestration","interactions":[],"lastModifiedDate":"2025-09-18T15:18:17.86038","indexId":"70271508","displayToPublicDate":"2025-06-20T09:58:59","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":22362,"text":"Journal of the Mechanics and Physics of Solids","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Impact of gas/liquid phase change of CO<sub>2</sub>  during injection for sequestration","title":"Impact of gas/liquid phase change of CO2 during injection for sequestration","docAbstract":"<div id=\"d1e765\" class=\"u-margin-s-bottom\"><span>CO<sub>2</sub> </span>sequestration in deep saline formations is an effective and important process to control the rapid rise in CO<sub>2</sub><span>&nbsp;</span>emissions. The process of injecting CO<sub>2</sub><span>&nbsp;</span>requires reliable predictions of the stress in the formation and the fluid pressure distributions – particularly since monitoring of the CO<sub>2</sub><span> migration is difficult – to mitigate leakage, prevent&nbsp;induced seismicity, and analyze&nbsp;wellbore&nbsp;stability. A key aspect of CO<sub>2</sub></span><span>&nbsp;</span>is the gas–liquid phase transition at the temperatures and pressures of relevance to leakage and sequestration, which has been recognized as being critical for accurate predictions but has been challenging to model without<span>&nbsp;</span><i>ad hoc</i><span>&nbsp;</span>empiricisms.</div><div id=\"d1e811\" class=\"u-margin-s-bottom\">This paper presents a robust multiphase thermodynamics-based poromechanics model to capture the complex phase transition behavior of CO<sub>2</sub><span> and predict the stress and pressure distribution under super- and sub- critical conditions during the&nbsp;injection process. A&nbsp;finite element implementation&nbsp;of the model is applied to analyze the behavior of a multiphase porous system with CO<sub>2</sub></span><span>&nbsp;</span>as it displaces the fluid brine phase. We find that if CO<sub>2</sub><span>&nbsp;</span>undergoes a phase transition in the geologic reservoir, the spatial variation of the density is significantly affected, and the migration mobility of CO<sub>2</sub><span>&nbsp;</span>decreases in the reservoir. A key feature of our approach is that we do not<span>&nbsp;</span><i>a priori</i><span>&nbsp;</span>assume the location of the CO<sub>2</sub><span>&nbsp;</span>gas/liquid interface – or even if it occurs at all – but rather, this is a prediction of the model, along with the spatial variation of the phase of CO<sub>2</sub><span>&nbsp;</span>and the change of the saturation profile due to the phase change.</div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jmps.2025.106232","usgsCitation":"Karimi, M., Cochran, E.S., Massoudi, M., Walkington, N., Pozzi, M., and Dayal, K., 2025, Impact of gas/liquid phase change of CO2 during injection for sequestration: Journal of the Mechanics and Physics of Solids, v. 203, 106232, 14 p., https://doi.org/10.1016/j.jmps.2025.106232.","productDescription":"106232, 14 p.","ipdsId":"IP-153941","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":495746,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jmps.2025.106232","text":"Publisher Index Page"},{"id":495712,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"203","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Karimi, M.","contributorId":361549,"corporation":false,"usgs":false,"family":"Karimi","given":"M.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":948979,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":948980,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Massoudi, Mehrdad","contributorId":361550,"corporation":false,"usgs":false,"family":"Massoudi","given":"Mehrdad","affiliations":[{"id":64933,"text":"National Energy Technology Laboratory","active":true,"usgs":false}],"preferred":false,"id":948981,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walkington, Noel","contributorId":361552,"corporation":false,"usgs":false,"family":"Walkington","given":"Noel","affiliations":[{"id":12943,"text":"Carnegie Mellon University","active":true,"usgs":false}],"preferred":false,"id":948982,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pozzi, Matteo","contributorId":361553,"corporation":false,"usgs":false,"family":"Pozzi","given":"Matteo","affiliations":[{"id":12943,"text":"Carnegie Mellon University","active":true,"usgs":false}],"preferred":false,"id":948983,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dayal, Kaushik","contributorId":361555,"corporation":false,"usgs":false,"family":"Dayal","given":"Kaushik","affiliations":[{"id":12943,"text":"Carnegie Mellon University","active":true,"usgs":false}],"preferred":false,"id":948984,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70273158,"text":"70273158 - 2025 - Multiscale framework for assessing land cover change on barrier islands from extreme storms and restoration","interactions":[],"lastModifiedDate":"2025-12-17T16:03:03.075808","indexId":"70273158","displayToPublicDate":"2025-06-20T09:54:40","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Multiscale framework for assessing land cover change on barrier islands from extreme storms and restoration","docAbstract":"<p><span>Often found along the estuarine-marine interface, barrier islands and mainland coastal zones are shaped by tides, currents, extreme storms, and relative sea-level rise. These systems provide ecosystem services such as storm surge and wave attenuation, erosion protection to inland areas, habitat for fish and wildlife, recreation, and tourism. Given the importance of these ecosystems coupled with their dynamic nature, information on how these coastal systems are changing can help to inform natural resource management. Remote sensing advancements have led to an abundance of data for monitoring change in coastal settings. This study developed a multiscale framework that can provide trajectory information from screening-level analyses by using existing or custom moderate spatial resolution land cover maps. Using the north-central Gulf Coast as a case study, the trajectory of land cover area for barrier islands and mainland coastal zones was assessed using several geospatial data sets, including: (1) long-term moderate-resolution remote sensing products with an annual (or more frequent) temporal frequency; (2) a restoration database (</span><i>e.g.</i><span>, beach/dune restoration, sediment placement, and dune enhancement); and (3) a tropical storm database. Due to the coarser spatial resolution of data sets used for screening-level analyses, detailed or application-specific analyses are often needed to reduce uncertainty in smaller changes that may not be captured. These may include land cover change analyses (</span><i>i.e.</i><span>&nbsp;this study), periodic land cover maps with higher spatial resolution and more detailed land cover classes, or elevation-related analyses (</span><i>e.g.</i><span>, dune change or inundation change). Using this framework, abrupt changes in land cover on Dauphin Island, Alabama, resulting from extreme storms were detected using moderate spatial resolution screening-level data, while restoration impact analyses may require higher resolution data. Further, land cover change analyses that incorporate change allocation provide robust information for understanding land cover change in dynamic coastal settings.</span></p>","language":"English","publisher":"Coastal Education and Research Foundation, Inc.","doi":"10.2112/JCOASTRES-D-24-00084.1","usgsCitation":"Enwright, N., Dalyander, P.S., Stuht, C.M., Han, M., Palmsten, M.L., Davenport, T.M., Kingwill, C.J., Steyer, G., and La Peyre, M., 2025, Multiscale framework for assessing land cover change on barrier islands from extreme storms and restoration: Journal of Coastal Research, v. 41, no. 6, p. 1029-1042, https://doi.org/10.2112/JCOASTRES-D-24-00084.1.","productDescription":"14 p.","startPage":"1029","endPage":"1042","ipdsId":"IP-172879","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":497643,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88.40937976247565,\n              30.743725811842268\n            ],\n            [\n              -88.40937976247565,\n              29.56478712694208\n            ],\n            [\n              -83.91845836432758,\n              29.56478712694208\n            ],\n            [\n              -83.91845836432758,\n              30.743725811842268\n            ],\n            [\n              -88.40937976247565,\n              30.743725811842268\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"41","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Enwright, Nicholas 0000-0002-7887-3261","orcid":"https://orcid.org/0000-0002-7887-3261","contributorId":214839,"corporation":false,"usgs":true,"family":"Enwright","given":"Nicholas","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":952525,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dalyander, P. 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