{"pageNumber":"9","pageRowStart":"200","pageSize":"25","recordCount":41014,"records":[{"id":70274301,"text":"70274301 - 2026 - Efficacy of increased visual and olfactory cues for luring and trapping invasive tegu lizards","interactions":[],"lastModifiedDate":"2026-03-25T15:05:07.706857","indexId":"70274301","displayToPublicDate":"2026-03-02T07:55:44","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17102,"text":"Frontiers in Amphibian and Reptile Science","active":true,"publicationSubtype":{"id":10}},"title":"Efficacy of increased visual and olfactory cues for luring and trapping invasive tegu lizards","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Controlling invasive wildlife species relies on the ability to efficiently remove individuals from the invaded environment. Thus, maximizing capture potential is of high interest, particularly for species that are difficult to capture. For invasive species such as the Argentine black and white tegu lizard (</span><i>Salvator merianae</i><span>), increasing attraction to traps could increase the probability of removal. While it has been established that&nbsp;</span><i>S. merianae</i><span>&nbsp;can be lured with a single chicken egg, the efficacy of increasing olfactory or visual cues to increase tegu captures has not been rigorously tested. To test this, we leveraged an ongoing National Park Service trapping effort near Everglades National Park. In 2023 and 2024, we randomly assigned traps to a control treatment (single real egg), increased olfactory and visual treatment (three real eggs), an increased visual plus standard olfactory treatment (one real egg and one decoy egg, or one real egg and two decoy eggs), or visual treatment only (three decoy eggs). We fitted Bayesian binomial models for tegu lizards and non-target species to the trapping data to assess how bait treatment, trap style, and trap location affected the daily probability of capture at a trap. Additionally, we fitted Bayesian linear models to test the effect of bait treatment on the size of tegus captured. We found that increasing the olfactory cue to three real eggs increased the probability of tegu capture, but not the probability of non-target species capture. Conversely, traps with one real egg and two decoy eggs increased the probability of non-target captures while reducing the probability of tegu captures. Trap style and trap location also had statistically significant effects. Bait treatment did not significantly influence the size of tegus captured; however, there was a weak effect suggesting juvenile and male tegus captured in traps with three real eggs were larger compared to traps with a single egg and two decoy eggs. Our results highlight potential improvements in tegu control methods that balance effective capture with minimizing non-target bycatch.</span></span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/famrs.2026.1758585","usgsCitation":"Kissel, A.M., Donmoyer, K.L., Sandfoss, M.R., Howard, J.C., Romagosa, C.M., and Yackel Adams, A.A., 2026, Efficacy of increased visual and olfactory cues for luring and trapping invasive tegu lizards: Frontiers in Amphibian and Reptile Science, v. 4, 1758585, 10 p., https://doi.org/10.3389/famrs.2026.1758585.","productDescription":"1758585, 10 p.","ipdsId":"IP-183287","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":501599,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/famrs.2026.1758585","text":"Publisher Index Page"},{"id":501498,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades National Park, Southern Glades and Frog Pond Wildlife areas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -80.72257615830546,\n              25.470240548699877\n            ],\n            [\n              -80.72257615830546,\n              25.321246280361024\n            ],\n            [\n              -80.52864489446742,\n              25.321246280361024\n            ],\n            [\n              -80.52864489446742,\n              25.470240548699877\n            ],\n            [\n              -80.72257615830546,\n              25.470240548699877\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"4","noUsgsAuthors":false,"publicationDate":"2026-03-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Kissel, Amanda Marie 0000-0002-6346-7455","orcid":"https://orcid.org/0000-0002-6346-7455","contributorId":334356,"corporation":false,"usgs":true,"family":"Kissel","given":"Amanda","email":"","middleInitial":"Marie","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":957792,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Donmoyer, Kevin L.","contributorId":150242,"corporation":false,"usgs":false,"family":"Donmoyer","given":"Kevin","middleInitial":"L.","affiliations":[{"id":17944,"text":"University of Hawaii, Pacific Cooperative Studies Unit","active":true,"usgs":false}],"preferred":false,"id":957793,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sandfoss, Mark Robert 0000-0002-0162-7265","orcid":"https://orcid.org/0000-0002-0162-7265","contributorId":328884,"corporation":false,"usgs":true,"family":"Sandfoss","given":"Mark","email":"","middleInitial":"Robert","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":957794,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Howard, James C.","contributorId":178546,"corporation":false,"usgs":false,"family":"Howard","given":"James","middleInitial":"C.","affiliations":[{"id":54672,"text":"National Park Service, Everglades National Park, 40001 SR 9336, Homestead, Florida 33034, USA","active":true,"usgs":false}],"preferred":false,"id":957795,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Romagosa, Christina M.","contributorId":316356,"corporation":false,"usgs":false,"family":"Romagosa","given":"Christina","middleInitial":"M.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":957796,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yackel Adams, Amy A. 0000-0002-7044-8447 yackela@usgs.gov","orcid":"https://orcid.org/0000-0002-7044-8447","contributorId":3116,"corporation":false,"usgs":true,"family":"Yackel Adams","given":"Amy","email":"yackela@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":957797,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70274499,"text":"70274499 - 2026 - Brewing change in the (glacier) percolation zone","interactions":[],"lastModifiedDate":"2026-03-27T17:10:12.038922","indexId":"70274499","displayToPublicDate":"2026-03-01T12:09:12","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":691,"text":"Alaska Park Science","printIssn":"1545- 496","active":true,"publicationSubtype":{"id":10}},"title":"Brewing change in the (glacier) percolation zone","docAbstract":"Alaska's glaciers are losing mass at the fastest rate of any region globally, significantly affecting both the volume and distribution of water across the landscape. Though glaciers in the Alaska region (as defined by glaciologists this includes both Alaska and portions of adjacent Canada) range from sea level to nearly 6200 m (20,320 ft), the majority of glacier area in the Alaska region is concentrated between 900 and 2100 m (2950 to 6890 ft). Long term glacier monitoring in Alaska by the U.S. Geological Survey (USGS) Benchmark Glacier Project is on moderate-sized glaciers with distributions of glacier area in this elevation range. These are some of the longest in-situ records of glacier mass change in the world. The process-based understanding of glacier change on those “Benchmark Glaciers” is robust, but it is limited to the range of conditions present on those particular glaciers—at moderate elevations—where large amounts of melt water and rain pass through the glacier and into the downstream ecosystem on an annual basis.","language":"English","publisher":"U.S. National Park Sevice","usgsCitation":"Sass, L., McNeil, C., Baker, E.A., Frederick, Z.A., and Loso, M., 2026, Brewing change in the (glacier) percolation zone: Alaska Park Science, v. 24, no. 1, p. 2-15.","productDescription":"14 p.","startPage":"2","endPage":"15","ipdsId":"IP-182134","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":501727,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":501707,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/Reference/Profile/2317596"}],"country":"United 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Louis 0000-0003-4677-029X lsass@usgs.gov","orcid":"https://orcid.org/0000-0003-4677-029X","contributorId":221141,"corporation":false,"usgs":true,"family":"Sass","given":"Louis","email":"lsass@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":958017,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McNeil, Christopher 0000-0003-4170-0428 cmcneil@usgs.gov","orcid":"https://orcid.org/0000-0003-4170-0428","contributorId":220853,"corporation":false,"usgs":true,"family":"McNeil","given":"Christopher","email":"cmcneil@usgs.gov","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":958018,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baker, Emily A. 0000-0003-3443-5419","orcid":"https://orcid.org/0000-0003-3443-5419","contributorId":361983,"corporation":false,"usgs":false,"family":"Baker","given":"Emily","middleInitial":"A.","affiliations":[{"id":86409,"text":"Hamilton College, Wisconsin Geological and Natural History Survey","active":true,"usgs":false}],"preferred":false,"id":958019,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frederick, Zanden Arthur 0009-0007-9365-0334","orcid":"https://orcid.org/0009-0007-9365-0334","contributorId":368877,"corporation":false,"usgs":true,"family":"Frederick","given":"Zanden","middleInitial":"Arthur","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":958020,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Loso, Michael","contributorId":353465,"corporation":false,"usgs":false,"family":"Loso","given":"Michael","affiliations":[{"id":36976,"text":"U.S. National Park 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,{"id":70274628,"text":"70274628 - 2026 - Abandonment of the Upper Devonian Greenland Gap Group and Scherr Formation and revision of the Upper Devonian Brallier and Foreknobs Formations in the central Valley and Ridge Province","interactions":[],"lastModifiedDate":"2026-04-02T16:08:57.895011","indexId":"70274628","displayToPublicDate":"2026-03-01T09:00:45","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3481,"text":"Stratigraphy","active":true,"publicationSubtype":{"id":10}},"title":"Abandonment of the Upper Devonian Greenland Gap Group and Scherr Formation and revision of the Upper Devonian Brallier and Foreknobs Formations in the central Valley and Ridge Province","docAbstract":"This study revises the lithostratigraphic framework of the Upper Devonian interval traditionally assigned to the Greenland Gap Group across the central Appalachian Valley and Ridge Province. The work aims to modernize and standardize lithostratigraphic nomenclature, establish a new reference section and demonstrate how the revised stratigraphy improves edge-matching of 1:24,000 scale geologic maps and supports compilation mapping at scales of 1:100,000 and larger. The revision eliminates the names Greenland Gap Group, Scherr Formation and the Minnehaha Springs Member of the Scherr Formation; reassigns all strata previously designated as Scherr Formation by Dennison (1970) to the upper Brallier Formation; and abandons the basal Mallow Member of the Foreknobs Formation, placing its strata within the upper Brallier as originally defined by Butts (1918).\n\nThe contact between the Brallier and Foreknobs formations is placed at the base of the first mappable, ridge-forming package of fine- to coarse-grained, cross-bedded, sandstone beds, often containing rounded quartz pebbles with minor interbeds of shale and siltstone. This contact may be gradational in places but, even in absence of good exposure, can usually be distinguished topographically in recently produced lidar-derived imagery as having elevated relief due to the presence of more resistant, compositionally mature coarse-grained sandstone-rich strata. Applying this criterion for mapping the contact between the Brallier and Foreknobs formations has resulted in reconciliation of mismatches of geologic contacts along several 7.5-minute quadrangle boundaries in the states of Virginia, West Virginia, Maryland and Pennsylvania. A new reference section at Baker, West Virginia showcases the contacts between the Harrell Shale, Brallier Formation, Foreknobs Formation and Hampshire Formation. A digital outcrop model of the reference section is provided for future preservation.","language":"English","publisher":"Micropaleontology Press","doi":"10.29041/strat.23.1.03","usgsCitation":"Pitts, A.D., and Doctor, D.H., 2026, Abandonment of the Upper Devonian Greenland Gap Group and Scherr Formation and revision of the Upper Devonian Brallier and Foreknobs Formations in the central Valley and Ridge Province: Stratigraphy, v. 23, no. 1, p. 31-44, https://doi.org/10.29041/strat.23.1.03.","productDescription":"14 p.","startPage":"31","endPage":"44","ipdsId":"IP-153186","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":502010,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Pennsylvania, Virginia, West Virginia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -80.5837839625223,\n              41.90737349195368\n            ],\n            [\n              -80.97986900952827,\n              39.8912761703621\n            ],\n            [\n              -82.00598531940697,\n              38.93662885204664\n            ],\n            [\n              -82.63094418286235,\n              38.26806111836963\n            ],\n            [\n              -82.14502301832408,\n              37.467676901275595\n            ],\n            [\n              -83.57714608050935,\n              36.57298398456588\n            ],\n            [\n              -75.54432999451647,\n              36.46466032532334\n            ],\n            [\n              -75.54432999451647,\n              41.90737349195368\n            ],\n            [\n              -80.5837839625223,\n              41.90737349195368\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"23","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pitts, Alan D. 0000-0002-9661-4917","orcid":"https://orcid.org/0000-0002-9661-4917","contributorId":350522,"corporation":false,"usgs":true,"family":"Pitts","given":"Alan","middleInitial":"D.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":958490,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doctor, Daniel H. 0000-0002-8338-9722 dhdoctor@usgs.gov","orcid":"https://orcid.org/0000-0002-8338-9722","contributorId":2037,"corporation":false,"usgs":true,"family":"Doctor","given":"Daniel","email":"dhdoctor@usgs.gov","middleInitial":"H.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":958491,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70274724,"text":"70274724 - 2026 - Report 17—Revisions to the articles of organization and procedure of the Commission on Stratigraphic Nomenclature of the Americas","interactions":[],"lastModifiedDate":"2026-04-08T14:50:57.563351","indexId":"70274724","displayToPublicDate":"2026-03-01T07:45:24","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3481,"text":"Stratigraphy","active":true,"publicationSubtype":{"id":10}},"title":"Report 17—Revisions to the articles of organization and procedure of the Commission on Stratigraphic Nomenclature of the Americas","docAbstract":"<p>Several revisions to the Articles of Organization and Procedure for the North American Commission on Stratigraphic Nomenclature have been adopted following the 75th, 79th, and 80th annual meetings of the Commission in 2020, 2024 and 2025, respectively. Of these, the most substantial change was revision of Article III regarding membership composition of the Commission and the addition of new member organizations from Central and South America and the Caribbean region. As a result, the Commission also voted to change its name to be more inclusive of the expanding membership, with approval of the name: Commission on Stratigraphic Nomenclature of the Americas. A corresponding change to the Commission’s fundamental publication was also approved at the 2025 meeting as the Stratigraphic Code of the Americas (formerly the North American Stratigraphic Code). &nbsp;Additional revisions to the Articles include those aimed at ensuring gender neutrality of titles, permission to&nbsp;hold virtual meetings, and processes for designating new Commissioners. Article V was also modified to define quorum for meetings and the nature of a two-thirds majority vote, with the process for making amendments to the Articles modified to specify that a&nbsp;two-thirds majority vote is required. These revisions are reflected&nbsp;in the following bylaws, which otherwise are as adopted by the&nbsp;Commission under its former name (North American Commission<br>on Stratigraphic Nomenclature) at its 62nd annual meeting in 2007 amended by mail ballot, and published by Owen et al. (2009). The&nbsp;amended bylaws printed below became effective at the close of&nbsp;the 80th annual meeting in 2025 and supersede all previous versions (Moore 1947; Hutchinson 1953; Owen et al. 1985; 2009)</p>","language":"English","publisher":"Micropaleontology Press","doi":"10.29041/strat.23.1.04","usgsCitation":"Dafoe, L.T., MacNaughton, R.B., Aubry, M., Brett, C.E., Lehane, J.R., Núñez-Useche, F., Orndorff, R.C., Brunton, F., Edwards, L.E., Fluegeman, R.H., Harper, H., Joeckel, R.M., Lasca, N.P., and Tew, B., 2026, Report 17—Revisions to the articles of organization and procedure of the Commission on Stratigraphic Nomenclature of the Americas: Stratigraphy, v. 23, no. 1, p. 45-49, https://doi.org/10.29041/strat.23.1.04.","productDescription":"5 p.","startPage":"45","endPage":"49","ipdsId":"IP-184074","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience 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Marie-Pierre","contributorId":174332,"corporation":false,"usgs":false,"family":"Aubry","given":"Marie-Pierre","email":"","affiliations":[{"id":27421,"text":"Department of Earth and Planetary Sciences Rutgers University 610 Taylor Road Piscataway NJ 08854-8066, USA","active":true,"usgs":false}],"preferred":false,"id":958847,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brett, Carlton E.","contributorId":369298,"corporation":false,"usgs":false,"family":"Brett","given":"Carlton","middleInitial":"E.","affiliations":[{"id":7159,"text":"University of Cincinnati","active":true,"usgs":false}],"preferred":false,"id":958848,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lehane, James R.","contributorId":369299,"corporation":false,"usgs":false,"family":"Lehane","given":"James","middleInitial":"R.","affiliations":[{"id":87755,"text":"ABS Group","active":true,"usgs":false}],"preferred":false,"id":958849,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Núñez-Useche, Fernando","contributorId":369300,"corporation":false,"usgs":false,"family":"Núñez-Useche","given":"Fernando","affiliations":[{"id":33785,"text":"Instituto de Geología, Universidad Nacional Autónoma de México","active":true,"usgs":false}],"preferred":false,"id":958850,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Orndorff, Randall C. 0000-0002-8956-5803 rorndorf@usgs.gov","orcid":"https://orcid.org/0000-0002-8956-5803","contributorId":2739,"corporation":false,"usgs":true,"family":"Orndorff","given":"Randall","email":"rorndorf@usgs.gov","middleInitial":"C.","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},{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true}],"preferred":true,"id":958851,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brunton, Frank","contributorId":261296,"corporation":false,"usgs":false,"family":"Brunton","given":"Frank","affiliations":[{"id":13320,"text":"Ontario Geological Survey","active":true,"usgs":false}],"preferred":false,"id":958852,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Edwards, Lucy E. 0000-0003-4075-3317 leedward@usgs.gov","orcid":"https://orcid.org/0000-0003-4075-3317","contributorId":2647,"corporation":false,"usgs":true,"family":"Edwards","given":"Lucy","email":"leedward@usgs.gov","middleInitial":"E.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":958853,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Fluegeman, Richard H.","contributorId":369307,"corporation":false,"usgs":false,"family":"Fluegeman","given":"Richard","middleInitial":"H.","affiliations":[{"id":13322,"text":"Ball State University","active":true,"usgs":false}],"preferred":false,"id":958854,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Harper, Howard","contributorId":139944,"corporation":false,"usgs":false,"family":"Harper","given":"Howard","email":"","affiliations":[{"id":13323,"text":"Society for Sedimentary Geology","active":true,"usgs":false}],"preferred":false,"id":958855,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Joeckel, R. Matthew","contributorId":369308,"corporation":false,"usgs":false,"family":"Joeckel","given":"R.","middleInitial":"Matthew","affiliations":[{"id":87758,"text":"Nebraska Geological Survey","active":true,"usgs":false}],"preferred":false,"id":958856,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lasca, Norman P.","contributorId":369309,"corporation":false,"usgs":false,"family":"Lasca","given":"Norman","middleInitial":"P.","affiliations":[{"id":7200,"text":"University of Wisconsin-Milwaukee","active":true,"usgs":false}],"preferred":false,"id":958857,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Tew, B.H.","contributorId":369312,"corporation":false,"usgs":false,"family":"Tew","given":"B.H.","affiliations":[{"id":13327,"text":"Geological Survey of Alabama","active":true,"usgs":false}],"preferred":false,"id":958858,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70274284,"text":"70274284 - 2026 - Hyperspectral retrieval of phytoplankton absorption and community composition from NASA’s PACE-OCI in estuarine–coastal waters using a hybrid framework combining mixture-of-experts and Variational Autoencoder","interactions":[],"lastModifiedDate":"2026-03-24T17:58:00.328721","indexId":"70274284","displayToPublicDate":"2026-02-28T10:36:32","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Hyperspectral retrieval of phytoplankton absorption and community composition from NASA’s PACE-OCI in estuarine–coastal waters using a hybrid framework combining mixture-of-experts and Variational Autoencoder","docAbstract":"<p>Retrieving the phytoplankton absorption coefficient (a<sub><i>phy</i></sub>; m−1), one of the most spectrally rich inherent optical properties, remains challenging in optically complex coastal waters worldwide. Leveraging NASA's new hyperspectral mission, PACE, we introduce Hyper-MoE-VAE, a deep-learning architecture that integrates a Mixture-of-Experts with a Variational Autoencoder to retrieve high-dimensional a<sub><i>phy</i></sub>&nbsp;and subsequent estimation of phytoplankton community composition (PCC) from PACE-OCI hyperspectral remote sensing reflectance (R<sub><i>rs</i></sub>). Pre-trained on global hyperspectral bio-optical datasets and fine-tuned using regional field R<sub><i>rs</i></sub>–a<sub><i>phy</i></sub>&nbsp;pairings from inland– estuarine–coastal waters, Hyper-MoE-VAE demonstrated strong transferability and effective adaptation across regions. Validation with in-situ Rrs&nbsp;showed accurate aphy&nbsp;retrievals in Lake Erie (NRMSE&nbsp;=&nbsp;0.12, ε = 17.10), Lake Pontchartrain (NRMSE&nbsp;=&nbsp;0.11, ε = 37.12), and the Barataria–Terrebonne Estuary (NRMSE&nbsp;=&nbsp;0.14, ε = 38.89). Using same-day PACE-OCI Level 2 Rrs, the model achieved comparable performance in Lake Erie (NRMSE&nbsp;=&nbsp;0.19, ε = 55.19), Lake Pontchartrain (NRMSE&nbsp;=&nbsp;0.14, ε = 51.39), and the Barataria–Terrebonne Estuary (NRMSE&nbsp;=&nbsp;0.17, ε = 47.92). Hyper-MoE-VAE derived PACE-OCI hyperspectral aphy&nbsp;was further decomposed against mass-specific absorption spectra to estimate group-specific contributions to total chlorophyll a. The resulting PCC showed strong agreement with HPLC–CHEMTAX in Lake Erie (<i>R</i><sup>2</sup>= 0.692) and Gulf estuarine–coastal systems (<i>R</i><sup>2</sup> = 0.732). Monte Carlo noise experiments further revealed group-dependent sensitivities, with diatoms and dinoflagellates showing moderate susceptibility to noise, while cyanobacteria and cryptophytes exhibited narrow uncertainty distributions. These results demonstrate Hyper-MoE-VAE's capability for regional, operational water-quality monitoring with PACE-OCI and its adaptability to current and future hyperspectral missions.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2026.115327","usgsCitation":"Bai, X., Liu, B., Li, J., Xiong, Y., D'Sa, E.J., Baustian, M.M., Zhang, X., Grunert, B.K., Emeghiebo, C.O., Glasspie, C., and Yuan, X., 2026, Hyperspectral retrieval of phytoplankton absorption and community composition from NASA’s PACE-OCI in estuarine–coastal waters using a hybrid framework combining mixture-of-experts and Variational Autoencoder: Remote Sensing of Environment, v. 337, 115327, 21 p., https://doi.org/10.1016/j.rse.2026.115327.","productDescription":"115327, 21 p.","ipdsId":"IP-183464","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":501687,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2026.115327","text":"Publisher Index Page"},{"id":501480,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Great Lakes, Lake Pontchartrain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -91.98026146025376,\n              46.682013140642226\n            ],\n            [\n              -90.422396423442,\n              35.665871696553445\n            ],\n            [\n              -91.75807129638213,\n              28.880274469368075\n            ],\n            [\n              -85.60463244761702,\n              28.94843644039912\n            ],\n            [\n              -84.63467351669269,\n              34.847516695576886\n            ],\n            [\n      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of Delaware","active":true,"usgs":false}],"preferred":false,"id":957604,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Bingqing","contributorId":304014,"corporation":false,"usgs":false,"family":"Liu","given":"Bingqing","email":"","affiliations":[{"id":13499,"text":"The Water Institute of the Gulf","active":true,"usgs":false}],"preferred":false,"id":957605,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Li, Jiang","contributorId":167428,"corporation":false,"usgs":false,"family":"Li","given":"Jiang","email":"","affiliations":[],"preferred":false,"id":957606,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Xiong, Yuanheng","contributorId":367739,"corporation":false,"usgs":false,"family":"Xiong","given":"Yuanheng","affiliations":[{"id":12460,"text":"The University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":957607,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"D'Sa, Eurico J.","contributorId":367740,"corporation":false,"usgs":false,"family":"D'Sa","given":"Eurico","middleInitial":"J.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":957608,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Baustian, Melissa Millman 0000-0003-2467-2533","orcid":"https://orcid.org/0000-0003-2467-2533","contributorId":304015,"corporation":false,"usgs":true,"family":"Baustian","given":"Melissa","email":"","middleInitial":"Millman","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":957609,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zhang, Xiaodong","contributorId":367741,"corporation":false,"usgs":false,"family":"Zhang","given":"Xiaodong","affiliations":[{"id":12460,"text":"The University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":957610,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Grunert, Brice K.","contributorId":367742,"corporation":false,"usgs":false,"family":"Grunert","given":"Brice","middleInitial":"K.","affiliations":[{"id":18143,"text":"Cleveland State University","active":true,"usgs":false}],"preferred":false,"id":957611,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Emeghiebo, Chisom O.","contributorId":367743,"corporation":false,"usgs":false,"family":"Emeghiebo","given":"Chisom","middleInitial":"O.","affiliations":[{"id":7155,"text":"University of Louisiana at Lafayette","active":true,"usgs":false}],"preferred":false,"id":957612,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Glasspie, Cassie","contributorId":367744,"corporation":false,"usgs":false,"family":"Glasspie","given":"Cassie","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":957613,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Yuan, Xu","contributorId":367734,"corporation":false,"usgs":false,"family":"Yuan","given":"Xu","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":957614,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70274266,"text":"70274266 - 2026 - Extreme precipitation variability and soil texture controls on water-table response","interactions":[],"lastModifiedDate":"2026-03-24T16:31:28.917628","indexId":"70274266","displayToPublicDate":"2026-02-27T09:28:04","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Extreme precipitation variability and soil texture controls on water-table response","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Extreme precipitation events (EPEs), a key class of hydrometeorological extremes, are intensifying globally under climate change; however, their effects on water-table dynamics across varying soil textures remain poorly understood. To better understand the impacts of EPEs, we conducted one-dimensional modeling to evaluate water-table response time, displacement, recession time, and total recharge under EPEs of 0.20 m, 0.40 m, and 0.60 m amounts, applied over 1-, 7-, and 20-day durations across twelve soil textures. The results show that coarse soils (i.e., sand) respond within days, while fine soils (i.e., clay) may take over 200 days. Water-table displacement ranged from 0.30 to 1.64 m and increased with EPE magnitude. The time it took for water tables to recede ranged from 1.2 to 3.0 years. A first-order estimate of total possible recharge, calculated from porosity and displacement, ranged from 17% (clay) to 97% (sand), averaging ~63% across soil textures. These findings highlight that recharge is primarily governed by EPE magnitude and soil properties, not event duration. This modeling effort provides new insight into how soil texture modulates groundwater response to extreme precipitation, informing future water budget and resilience assessments.</span></span></p>","language":"English","publisher":"MDPI","doi":"10.3390/w18050587","usgsCitation":"Corona, C.R., Ge, S., Anderson, S.P., and Dickinson, J.E., 2026, Extreme precipitation variability and soil texture controls on water-table response: Water, v. 18, no. 5, 587, 20 p., https://doi.org/10.3390/w18050587.","productDescription":"587, 20 p.","ipdsId":"IP-160684","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":501680,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w18050587","text":"Publisher Index Page"},{"id":501472,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"5","noUsgsAuthors":false,"publicationDate":"2026-02-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Corona, Claudia R.","contributorId":152548,"corporation":false,"usgs":false,"family":"Corona","given":"Claudia","middleInitial":"R.","affiliations":[{"id":6690,"text":"San Francisco State University","active":true,"usgs":false}],"preferred":false,"id":957469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ge, Shemin","contributorId":203465,"corporation":false,"usgs":false,"family":"Ge","given":"Shemin","email":"","affiliations":[{"id":36627,"text":"University of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":957470,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Suzanne P. 0000-0002-6796-6649","orcid":"https://orcid.org/0000-0002-6796-6649","contributorId":172732,"corporation":false,"usgs":false,"family":"Anderson","given":"Suzanne","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":957471,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dickinson, Jesse E. 0000-0002-0048-0839 jdickins@usgs.gov","orcid":"https://orcid.org/0000-0002-0048-0839","contributorId":152545,"corporation":false,"usgs":true,"family":"Dickinson","given":"Jesse","email":"jdickins@usgs.gov","middleInitial":"E.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":957472,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70273969,"text":"sir20255052 - 2026 - Reconstructing the Quaternary depositional history using geologic mapping and three-dimensional modeling of the subsurface near Fort Morgan, northeastern Colorado","interactions":[],"lastModifiedDate":"2026-02-27T21:35:08.45987","indexId":"sir20255052","displayToPublicDate":"2026-02-26T13:00:00","publicationYear":"2026","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":"2025-5052","displayTitle":"Reconstructing the Quaternary Depositional History Using Geologic Mapping and Three-Dimensional Modeling of the Subsurface Near Fort Morgan, Northeastern Colorado","title":"Reconstructing the Quaternary depositional history using geologic mapping and three-dimensional modeling of the subsurface near Fort Morgan, northeastern Colorado","docAbstract":"<p>Centered on Fort Morgan, Colorado, this study is intended to build from previous work by adding a three-dimensional (3D) view of the subsurface to better understand the depositional history of Quaternary deposits. A 1:100,000 scale geologic map was made by combining previous geologic maps, regional soil maps, and recent field investigations. In addition to the geologic mapping, drill hole lithologic data from water wells and oil and gas exploration were compiled and lithologic units simplified to best represent the stratigraphy of the Quaternary deposits. From these subsurface data, a 3D subsurface model was constructed, trimmed at the surface by a digital elevation model, and a bedrock surface foundation gridded from drill hole data was added. The surface of the 3D model was then compared visually to the surficial geologic map. Cross sections were constructed from the 3D model and compared to site-specific drilling that was done as part of this project. Finally, the model was examined in detail to reconstruct the depositional history of the subsurface alluvial and eolian units. Alluvial and fluvial drainage basins exposed in the subsurface have a greater areal extent than the present-day narrow drainages. Older eolian sand in the subsurface tends to be interbedded with loess indicating coeval deposition. Holocene sand, both eroded from bedrock exposed at the surface north of the study area and reworked from the South Platte River, buries most of the interbedded older sand and loess.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20255052","usgsCitation":"Taylor, E.M., Berry, M.E., Mahan, S.A., and Havens, J.C., 2026, Reconstructing the Quaternary depositional history using geologic mapping and three-dimensional modeling of the subsurface near Fort Morgan, northeastern Colorado: U.S. Geological Survey Scientific Investigations Report 2025–5052, 48 p., https://doi.org/10.3133/sir20255052.","productDescription":"Report: iv, 48 p.; 2 Data Releases","onlineOnly":"Y","ipdsId":"IP-095650","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":500655,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119276.htm","linkFileType":{"id":5,"text":"html"}},{"id":500266,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5052/sir20255052.pdf","text":"Report","size":"60.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5052"},{"id":500265,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5052/coverthb.jpg"},{"id":500267,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13KTS2B","text":"USGS data release","linkHelpText":"Luminescence data for: Reconstructing the Quaternary depositional history using geologic mapping and a 3D model of the subsurface in the vicinity of Fort Morgan, Eastern Colorado"},{"id":500268,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9AQ72FB","text":"USGS data release","linkHelpText":"Digital drillhole lithologic data and a radiocarbon age -- data supporting interpretation of Quaternary depositional history in the vicinity of Fort Morgan, Eastern Colorado"}],"country":"United States","state":"Colorado","city":"Fort Morgan","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -103.5,\n              40.5\n            ],\n            [\n              -104.5,\n              40.5\n            ],\n            [\n              -104.5,\n              40\n            ],\n            [\n              -103.5,\n              40\n            ],\n            [\n              -103.5,\n              40.5\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/geosciences-and-environmental-change-science-center/\" data-mce-href=\"https://www.usgs.gov/centers/geosciences-and-environmental-change-science-center/\">Geosciences and Environmental Change Science Center</a><br>U.S. Geological Survey<br>Box 25046, MS-980<br>Denver, CO 80225-0046</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Previous Work—Soil and Geologic Mapping</li><li>Methods</li><li>Mapping Quaternary Deposits Based on Natural Resources Conservation Service Maps, Field Investigations, and Previous Mapping</li><li>Fluvial and Alluvial Deposits</li><li>Creating a Three-Dimensional Lithologic Model of the Subsurface and Correlating to the Surficial Geologic Map</li><li>Reconstruction of the Depositional History of Sediments in the Study Area</li><li>Summary</li><li>References Cited</li></ul>","publishedDate":"2026-02-26","noUsgsAuthors":false,"publicationDate":"2026-02-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Taylor, Emily M. 0000-0003-1152-5761","orcid":"https://orcid.org/0000-0003-1152-5761","contributorId":201562,"corporation":false,"usgs":true,"family":"Taylor","given":"Emily","middleInitial":"M.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":955947,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berry, Margaret E. 0000-0002-4113-8212","orcid":"https://orcid.org/0000-0002-4113-8212","contributorId":201560,"corporation":false,"usgs":true,"family":"Berry","given":"Margaret E.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":955948,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":955949,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Havens, Jeremy C. 0000-0002-8685-2823","orcid":"https://orcid.org/0000-0002-8685-2823","contributorId":292231,"corporation":false,"usgs":true,"family":"Havens","given":"Jeremy","middleInitial":"C.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":956399,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70274570,"text":"70274570 - 2026 - Boxed in or branching out? Movement and resource selection of eastern box turtles (Terrapene carolina carolina) in an urban green space","interactions":[],"lastModifiedDate":"2026-04-02T18:18:03.010667","indexId":"70274570","displayToPublicDate":"2026-02-26T11:10:51","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3669,"text":"Urban Ecosystems","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Boxed in or branching out? Movement and resource selection of eastern box turtles (<i>Terrapene carolina carolina</i>) in an urban green space","title":"Boxed in or branching out? Movement and resource selection of eastern box turtles (Terrapene carolina carolina) in an urban green space","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>The eastern box turtle (</span><i>Terrapene carolina carolina</i><span>) is a long-lived terrestrial turtle species distributed throughout the eastern United States that has experienced widespread population decline. Many eastern box turtle populations are persisting as remanent populations in small, fragmented urban green spaces. We investigated the movement and resource selection of eastern box turtles within a mid-Atlantic region urban forest in the eastern United States. We used a combination of turtle occurrence data (via visual encounter surveys) and radio telemetry to create resource selection functions. Additionally, we applied a simulation modeling approach and modeled activity areas via dynamic Brownian Bridge Movement Models to quantify interactions between turtles and roads or trails. We also used these models to determine the propensity for turtles to move outside of the managed urban forest boundary and into surrounding development. We observed that turtles selected for deciduous forest patches and avoided roads and trails despite the urban forest having very little available areas where anthropogenic features could be avoided. We also demonstrated observed (and probable) movements outside of the urban forest boundary. Although eastern box turtles are persisting within the urban green space we examined, our work determined that interactions with roads and trails, and movements outside of protected boundaries into developed areas present challenges to individuals navigating the urban forest.</span></span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s11252-026-01938-0","usgsCitation":"Jones, M.D., Ferebee, K.B., Ford, W., and Hunter, E.A., 2026, Boxed in or branching out? Movement and resource selection of eastern box turtles (Terrapene carolina carolina) in an urban green space: Urban Ecosystems, v. 29, 72, 14 p., https://doi.org/10.1007/s11252-026-01938-0.","productDescription":"72, 14 p.","ipdsId":"IP-180260","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":502096,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11252-026-01938-0","text":"Publisher Index Page"},{"id":502028,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"eastern United States, mid-Atlantic region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -76.51749069483542,\n              39.74954311636529\n            ],\n            [\n              -80.30490645674448,\n              33.87108405455136\n            ],\n            [\n              -77.15471518629862,\n              32.58298528230786\n            ],\n            [\n              -73.67400827908685,\n              39.35915324575973\n            ],\n            [\n              -76.51749069483542,\n              39.74954311636529\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"29","noUsgsAuthors":false,"publicationDate":"2026-02-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Jones, Max D.","contributorId":369034,"corporation":false,"usgs":false,"family":"Jones","given":"Max","middleInitial":"D.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":958334,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ferebee, Kenneth B.","contributorId":369035,"corporation":false,"usgs":false,"family":"Ferebee","given":"Kenneth","middleInitial":"B.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":958335,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":958336,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hunter, Elizabeth Ann 0000-0003-4710-167X","orcid":"https://orcid.org/0000-0003-4710-167X","contributorId":288535,"corporation":false,"usgs":true,"family":"Hunter","given":"Elizabeth","email":"","middleInitial":"Ann","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":958337,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70275549,"text":"70275549 - 2026 - Activity, but not size of Black-tailed Praire Dog colonies, is associated with higher Athene cunicularia hypugaea (Western Burrowing Owl) occupancy and reproductive success in the shortgrass prairie","interactions":[],"lastModifiedDate":"2026-05-19T15:45:56.487131","indexId":"70275549","displayToPublicDate":"2026-02-26T10:08:18","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9101,"text":"Ornithological Applications","printIssn":"0010-5422","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Activity, but not size of Black-tailed Praire Dog colonies, is associated with higher <i>Athene cunicularia hypugaea</i> (Western Burrowing Owl) occupancy and reproductive success in the shortgrass prairie","title":"Activity, but not size of Black-tailed Praire Dog colonies, is associated with higher Athene cunicularia hypugaea (Western Burrowing Owl) occupancy and reproductive success in the shortgrass prairie","docAbstract":"<p><span>Conservation in fragmented ecosystems, such as grasslands, has historically put more value on larger habitat patches but recent research suggests that small, high-quality habitat patches hold important conservation value. In many grassland systems,&nbsp;</span><i>Athene cunicularia hypugaea</i><span>&nbsp;(Western Burrowing Owl) relies on habitat patches created by&nbsp;</span><i>Cynomys ludovicianus</i><span>&nbsp;(Black-tailed Prairie Dog; hereafter prairie dog). Prairie dogs create important nesting habitat for&nbsp;</span><i>A. c. hypugaea</i><span>&nbsp;and other grassland birds. We examined the effect of size and characteristics of prairie dog colonies on&nbsp;</span><i>A. c. hypugaea</i><span>&nbsp;occupancy and reproductive success. We specifically looked at how colony size, prairie dog activity level, and vegetation characteristics influence these population parameters on 175 survey plots throughout eastern Colorado, U.S., across two sample years. Results are based on detections of adult and owlet&nbsp;</span><i>A. c. hypugaea</i><span>&nbsp;collected by paired observers traversing transects through study plots during the 2022 and 2023&nbsp;</span><i>A. c. hypugaea</i><span>&nbsp;nesting seasons (May–August). Our top multistate occupancy model indicated that latitude affects&nbsp;</span><i>A. c. hypugaea</i><span>&nbsp;occupancy probabilities. Occupancy was higher in southern Colorado compared to northern Colorado. In addition, prairie dog activity was positively associated with&nbsp;</span><i>A. c. hypugaea</i><span>&nbsp;reproductive success. Colony size and vegetation characteristics were generally uninformative predictors of&nbsp;</span><i>A. c. hypugaea</i><span>&nbsp;occupancy and reproductive success. We compared our results to a previous&nbsp;</span><i>A. c. hypugaea</i><span>&nbsp;population assessment conducted within our study area in 2005 and found that active prairie dog colonies positively affected&nbsp;</span><i>A. c. hypugaea</i><span>&nbsp;local colonization while local extinction was driven by a transition of active prairie dog colonies to inactive. This study highlights the importance of high-quality prairie dog habitat patches for&nbsp;</span><i>A. c. hypugaea</i><span>&nbsp;nesting in fragmented grassland ecosystems, regardless of patch size.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/ornithapp/duag027","usgsCitation":"Albright, S.R., Conrey, R.Y., and Kendall, W.L., 2026, Activity, but not size of Black-tailed Praire Dog colonies, is associated with higher Athene cunicularia hypugaea (Western Burrowing Owl) occupancy and reproductive success in the shortgrass prairie: Ornithological Applications, v. 128, no. 2, p. 1-12, https://doi.org/10.1093/ornithapp/duag027.","productDescription":"12 p.","startPage":"1","endPage":"12","ipdsId":"IP-177914","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":504185,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ornithapp/duag027","text":"Publisher Index Page"},{"id":503955,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"eastern Colorado","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -105.09881670845924,\n              41.02213445686721\n            ],\n            [\n              -105.09881670845924,\n              37.00631611507919\n            ],\n            [\n              -102.10629629108591,\n              37.00631611507919\n            ],\n            [\n              -102.10629629108591,\n              41.02213445686721\n            ],\n            [\n              -105.09881670845924,\n              41.02213445686721\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"128","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-02-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Albright, Sarah R.","contributorId":370997,"corporation":false,"usgs":false,"family":"Albright","given":"Sarah","middleInitial":"R.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":960859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conrey, Reesa Y.","contributorId":370998,"corporation":false,"usgs":false,"family":"Conrey","given":"Reesa","middleInitial":"Y.","affiliations":[{"id":39887,"text":"Colorado Parks and Wildlife","active":true,"usgs":false}],"preferred":false,"id":960860,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kendall, William L. 0000-0003-0084-9891","orcid":"https://orcid.org/0000-0003-0084-9891","contributorId":204844,"corporation":false,"usgs":true,"family":"Kendall","given":"William","email":"","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":960861,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70273903,"text":"sir20265116 - 2026 - Erosion potential and flood vulnerability of streams and stream crossings at Acadia National Park, Maine","interactions":[],"lastModifiedDate":"2026-05-08T14:34:40.404083","indexId":"sir20265116","displayToPublicDate":"2026-02-26T09:30:00","publicationYear":"2026","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":"2026-5116","displayTitle":"Erosion Potential and Flood Vulnerability of Streams and Stream Crossings at Acadia National Park, Maine","title":"Erosion potential and flood vulnerability of streams and stream crossings at Acadia National Park, Maine","docAbstract":"<p>Acadia National Park has had increases in the frequency and magnitude of precipitation in recent years, leading to increased flood flows, stream erosion, and costly infrastructure damage. To improve infrastructure management in a changing climate, the U.S. Geological Survey, in cooperation with the National Park Service, has developed multiple datasets that can help natural resource managers identify stream reaches and stream crossings that have the highest potential for erosion and flood damage within Acadia National Park. To develop these datasets, we first created a lidar-derived hydrography based on a 1-meter digital elevation model and then estimated peak flows at stream crossings and along the stream network using regional regression equations for Maine. We assessed the erosion potential of stream reaches by computing channel morphologic and hydrologic metrics associated with erosive power, such as stream steepness, topographic openness, and percent storage in the contributing watershed. Stream crossing flood vulnerability was assessed by comparing estimated peak flows to stream crossing conveyance capacities. Our results indicate that stream reaches in the headwaters of the Acadia National Park highlands such as Sargent, Penobscot, and Cadillac Mountain, have the highest erosion potential and generally coincide with reaches that have had erosion and infrastructure damage in the past. Stream crossings with the highest flood vulnerability are distributed throughout Mount Desert Island and Acadia National Park, especially south of Jordan Pond, north of Sargent Mountain, and surrounding Eagle Lake. Over a quarter of the total stream crossings have insufficient information to compute flood vulnerability and are often on the parts of the stream with the highest potential for erosion. The datasets allow users to identify stream reaches with the highest erosion potential, stream crossings that are most vulnerable to flood damage, and to highlight areas where supplemental field assessments could most effectively be completed.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265116","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Armstrong, I.P., McCallister, M.A., Hyslop, K.M., and Benthem, A.J., 2026, Erosion potential and flood vulnerability of streams and stream crossings at Acadia National Park, Maine: U.S. Geological Survey Scientific Investigations Report 2026–5116, 21 p., https://doi.org/10.3133/sir20265116.","productDescription":"Report: vii, 21 p.; Data Release","numberOfPages":"21","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-178032","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":499817,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5116/coverthb.jpg"},{"id":499818,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5116/sir20265116.pdf","size":"7.83 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5116 PDF"},{"id":499819,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265116/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026-5116 HTML"},{"id":499820,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5116/sir20265116.xml","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2026-5116 XML"},{"id":500656,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119275.htm","linkFileType":{"id":5,"text":"html"}},{"id":499821,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5116/images/"},{"id":499822,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1EHZNHN","text":"USGS data release","linkHelpText":"Data for an erosion potential and flood vulnerability assessment of streams and stream crossings at Acadia National Park, Maine"},{"id":500517,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://geonarrative.usgs.gov/acadiaerosionfloodvulnerability/","text":"Interactive dashboard","linkHelpText":"- Erosion Potential and Flood Vulnerability of Streams and Stream Crossings at Acadia National Park"}],"country":"United States","state":"Maine","otherGeospatial":"Acadia National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -68.45003175798666,\n              44.44178922865794\n            ],\n            [\n              -68.45003175798666,\n              44.21621316604151\n            ],\n            [\n              -68.13514216440173,\n              44.21621316604151\n            ],\n            [\n              -68.13514216440173,\n              44.44178922865794\n            ],\n            [\n              -68.45003175798666,\n              44.44178922865794\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/new-england-water-science-center\" data-mce-href=\"https://www.usgs.gov/centers/new-england-water-science-center\">New England Water Science Center</a><br>U.S. Geological Survey<br>10 Bearfoot Rd.<br>Northborough, Massachusetts 01532</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Plain Language Summary</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Limitations</li><li>Conclusions</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2026-02-26","noUsgsAuthors":false,"plainLanguageSummary":"<p>The U.S. Geological Survey, in cooperation with the National Park Service, has developed multiple datasets that can help natural resource managers identify stream reaches with the highest potential for erosion and stream crossings most vulnerable to flood damage within Acadia National Park. These datasets allow users to identify areas where supplemental field assessments could be most effectively completed.</p>","publicationDate":"2026-02-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Armstrong, Ian P. 0000-0002-8239-8029","orcid":"https://orcid.org/0000-0002-8239-8029","contributorId":344363,"corporation":false,"usgs":true,"family":"Armstrong","given":"Ian","email":"","middleInitial":"P.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955710,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCallister, Meghan A. 0000-0001-8814-7725","orcid":"https://orcid.org/0000-0001-8814-7725","contributorId":358213,"corporation":false,"usgs":true,"family":"McCallister","given":"Meghan","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955711,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hyslop, Kristina M. 0009-0001-2525-5574","orcid":"https://orcid.org/0009-0001-2525-5574","contributorId":334465,"corporation":false,"usgs":true,"family":"Hyslop","given":"Kristina","middleInitial":"M.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955712,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Benthem, Adam J. 0000-0003-2372-0281","orcid":"https://orcid.org/0000-0003-2372-0281","contributorId":220000,"corporation":false,"usgs":true,"family":"Benthem","given":"Adam","middleInitial":"J.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955713,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70276529,"text":"70276529 - 2026 - A tool for prioritizing gravel augmentation reaches for sediment starved rivers","interactions":[],"lastModifiedDate":"2026-06-09T15:50:50.079238","indexId":"70276529","displayToPublicDate":"2026-02-26T08:44:07","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"A tool for prioritizing gravel augmentation reaches for sediment starved rivers","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Gravel augmentation is a widely used restoration technique used to improve habitat below dams, including salmonids spawning habitat. However, gravel augmentation can be cost-prohibitive, and it is often unclear which stream segments have the highest potential to benefit spawning salmonids. A tool to help prioritize reaches for gravel restoration could aid managers in making good decisions. To address this need, we convened a group of fishery managers to create Intrinsic Potential (IP) habitat models. We used stream attributes related to salmonid spawning habitat: elevation, width, and gradient from the synthetic stream channel dataset NetMap. We then used the IP models to develop an easy-to-use and flexible tool for identifying high spring-run Chinook Salmon (</span><i>Oncorhynchus tshawytscha</i><span>) IP along ~100 m reaches based on a conceptual model developed by the fishery managers. The tool allows for the inclusion of winter steelhead (</span><i>O. mykiss</i><span>) IP spawning habitat and allows users to incorporate mean August stream temperature maxima under recent conditions and projected under future climate change, land ownership (public or private or both), reach access distance, distance to and type of gravel sources, and relative gravel movement potential. We explore the prioritization tool with three demonstration strategies for the Upper Rogue River basin, Oregon, USA: (1) Spring Chinook Salmon Strategy, (2) Co-occurrence with winter steelhead Strategy, and (3) Climate Change Strategy. Our analysis demonstrates that altering management priorities directly influences which stream reaches are identified for gravel augmentation. In the three strategies we compared, a small number of current conservation reaches located downstream of spring Chinook Salmon spawning were identified using the tool. In addition, we identified a small number of reaches with no conservation strategy for winter steelhead spawning that meet prioritization criteria. Furthermore, under a climate change scenario, we highlight how new gravel source permitting could expand the set of viable augmentation reaches. The tool is publicly available on GitHub.</span></span></p>","language":"English","publisher":"Wiley","doi":"10.1002/rra.70121","usgsCitation":"Wohner, P.J., Samarin, P.A., and Peterson, J.T., 2026, A tool for prioritizing gravel augmentation reaches for sediment starved rivers: River Research and Applications, v. 42, no. 5, p. 1069-1082, https://doi.org/10.1002/rra.70121.","productDescription":"14 p.","startPage":"1069","endPage":"1082","ipdsId":"IP-177200","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":505477,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.70121","text":"Publisher Index Page"},{"id":505238,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Upper Rogue River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.80075194168168,\n              42.92036631096539\n            ],\n            [\n              -121.97529586847693,\n              42.92036631096539\n            ],\n            [\n              -121.97529586847693,\n              41.663250093796364\n            ],\n            [\n              -124.80075194168168,\n              41.663250093796364\n            ],\n            [\n              -124.80075194168168,\n              42.92036631096539\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"42","issue":"5","noUsgsAuthors":false,"publicationDate":"2026-02-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Wohner, Patricia J.","contributorId":371942,"corporation":false,"usgs":false,"family":"Wohner","given":"Patricia","middleInitial":"J.","affiliations":[{"id":40097,"text":"Stillwater Sciences","active":true,"usgs":false}],"preferred":false,"id":962593,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Samarin, Peter A.","contributorId":371943,"corporation":false,"usgs":false,"family":"Samarin","given":"Peter","middleInitial":"A.","affiliations":[{"id":36223,"text":"Oregon Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":962594,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":962595,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70275654,"text":"70275654 - 2026 - Stopover population estimate and migration ecology of Red Knots C. c. rufa at the Delaware Bay, USA, 2025","interactions":[{"subject":{"id":70275654,"text":"70275654 - 2026 - Stopover population estimate and migration ecology of Red Knots C. c. rufa at the Delaware Bay, USA, 2025","indexId":"70275654","publicationYear":"2026","noYear":false,"displayTitle":"Stopover population estimate and migration ecology of Red Knots <i>C. c. rufa</i> at the Delaware Bay, USA, 2025","title":"Stopover population estimate and migration ecology of Red Knots C. c. rufa at the Delaware Bay, USA, 2025"},"predicate":"SUPERSEDED_BY","object":{"id":70275649,"text":"70275649 - 2026 - Stopover population estimate and migration ecology of Red Knots C. c. rufa at Delaware Bay, USA, 2025","indexId":"70275649","publicationYear":"2026","noYear":false,"title":"Stopover population estimate and migration ecology of Red Knots C. c. rufa at Delaware Bay, USA, 2025"},"id":1}],"supersededBy":{"id":70275649,"text":"70275649 - 2026 - Stopover population estimate and migration ecology of Red Knots C. c. rufa at Delaware Bay, USA, 2025","indexId":"70275649","publicationYear":"2026","noYear":false,"title":"Stopover population estimate and migration ecology of Red Knots C. c. rufa at Delaware Bay, USA, 2025"},"lastModifiedDate":"2026-05-07T15:38:45.695517","indexId":"70275654","displayToPublicDate":"2026-02-26T08:38:17","publicationYear":"2026","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":19846,"text":"BioRxiv","active":true,"publicationSubtype":{"id":32}},"displayTitle":"Stopover population estimate and migration ecology of Red Knots <i>C. c. rufa</i> at the Delaware Bay, USA, 2025","title":"Stopover population estimate and migration ecology of Red Knots C. c. rufa at the Delaware Bay, USA, 2025","docAbstract":"<p><span>Red Knots (</span><i>Calidris canutus rufa</i><span>) rely on Atlantic horseshoe crab (</span><i>Limulus polyphemus</i><span>) eggs in the Delaware Bay to refuel during northward migration. Intensive harvest of horseshoe crabs in the 1990s contributed to declines in Red Knot numbers. In 2013, the Atlantic States Marine Fisheries Commission adopted an Adaptive Resource Management (ARM) framework to balance sustainable horseshoe crab harvest with ecosystem integrity and Red Knot recovery, requiring annual stopover population estimates. We estimated the 2025 passage population of Red Knots at Delaware Bay using a Bayesian analysis of a Jolly–Seber mark–resight model which accounts for population turnover and imperfect detection. We also evaluated change in migration timing between 2011 and 2025 with model-derived estimates of arrival at the Delaware Bay each year. The 2025 passage population was 54,043 individuals (95% credible interval: 47,926–61,928), an increase of approximately 17% over 2024 and only the second year since 2011 to exceed 50,000 individuals. Despite the increase, overlapping credible intervals across years indicate a stable stopover population. Migration timing has remained consistent, with 50% of the population typically arriving by 18 May and no evidence of advancement since 2011. These findings provide meaningful input for the ARM framework, supporting sustainable harvest of horseshoe crabs while maintaining adequate foraging opportunities for Red Knots and other shorebirds.</span></p>","language":"English","publisher":"BioRxiv","doi":"10.64898/2026.02.25.708011","usgsCitation":"Lyons, J., 2026, Stopover population estimate and migration ecology of Red Knots C. c. rufa at the Delaware Bay, USA, 2025: BioRxiv, preprint posted February 26, 2026, https://doi.org/10.64898/2026.02.25.708011.","productDescription":"19 p.","ipdsId":"IP-185336","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":504221,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.64898/2026.02.25.708011","text":"External Repository"},{"id":504081,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2026-02-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Lyons, James E. 0000-0002-9810-8751","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":228916,"corporation":false,"usgs":true,"family":"Lyons","given":"James E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":961319,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70273923,"text":"sir20265120 - 2026 - Methods for estimating selected streamflow statistics at ungaged sites in Wyoming based on data through water year 2021","interactions":[],"lastModifiedDate":"2026-04-10T15:07:21.627462","indexId":"sir20265120","displayToPublicDate":"2026-02-26T07:11:17","publicationYear":"2026","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":"2026-5120","displayTitle":"Methods for Estimating Selected Streamflow Statistics at Ungaged Sites in Wyoming Based on Data Through Water Year 2021","title":"Methods for estimating selected streamflow statistics at ungaged sites in Wyoming based on data through water year 2021","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the Wyoming Water Development Office, developed regional regression equations based on basin characteristics and streamflow statistics for streamgages through water year 2021 (October 1, 2020, to September 30, 2021). The regression equations allow estimates of mean annual maximum, mean annual, mean seasonal, and mean monthly streamflows; frequency statistics for the 7-day mean low flows with 2-year and 10-year recurrence intervals, 14- and 30-day mean low flows with 5-year recurrence intervals, and 60- and 1-day mean high flow with 2-year and 5-year recurrence intervals, respectively; and the 0.1-, 0.2-, 0.5-, 1-, 2-, 4-, 5-, 10-, 20-, 25-, 30-, 50-, 60-, 70-, 75-, 80-, 90-, 95-, 98-, and 99-percent durations for annual streamflows and 0.1-, 0.5-, 10-, 15-, 20-, 25-, 30-, 40-, 50-, 60-, 70-, 75-, 80-, 85-, 90-, 95-, and 99-percent durations for monthly streamflows for most months for ungaged locations in Wyoming that are largely unaltered by diversions or upstream reservoirs.</p><p>Regression equations were developed for 243 streamflow statistics. Best-subset selection was used to assess explanatory variables for respective streamflow statistics. Exploratory data analyses determined that, of the 81 basin characteristics evaluated as potential explanatory variables, characteristics such as drainage area and precipitation often produced models with the highest adjusted coefficient of determination and lowest mean squared error, as determined in the best-subset selection. To address heteroskedasticity of model residuals, model variables were regionalized using fixed-effects models; the percentages of the streamgage basins in selected ecoregions were defined as interaction terms, which represent the model slope for specific ecoregions. Most models were determined to be statistically significant for probability values less than or equal to 0.1 for one or more regional explanatory variables. The final regional regression equations defined in this report are available for use in the U.S. Geological Survey’s StreamStats web application at <a data-mce-href=\"https://streamstats.usgs.gov/ss/\" href=\"https://streamstats.usgs.gov/ss/\">https://streamstats.usgs.gov/ss/</a>.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265120","collaboration":"Prepared in cooperation with the Wyoming Water Development Office","usgsCitation":"Taylor, N.J., and Sando, R., 2026, Methods for estimating selected streamflow statistics at ungaged sites in Wyoming based on data through water year 2021: U.S. Geological Survey Scientific Investigations Report 2026–5120, 38 p., https://doi.org/10.3133/sir20265120.","productDescription":"Report: vii, 38 p.; 1 Linked Appendix Table; Data Release; Dataset","numberOfPages":"50","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-179497","costCenters":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":500115,"rank":7,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"- USGS water data for the Nation"},{"id":500657,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119274.htm","linkFileType":{"id":5,"text":"html"}},{"id":500117,"rank":8,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265120/full"},{"id":500114,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14WLVAH","text":"USGS data release","linkHelpText":"Regression equations for selected streamflow statistics based on data through water year 2021 in and near Wyoming"},{"id":500113,"rank":5,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2026/5120/downloads/","text":"Table 1.1","size":"60 KB","linkFileType":{"id":3,"text":"xlsx"}},{"id":500112,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5120/images/"},{"id":500109,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5120/coverthb.jpg"},{"id":500110,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5120/sir20265120.pdf","text":"Report","size":"7.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5120"},{"id":500111,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5120/sir20265120.XML"}],"country":"United States","state":"Colorado, Idaho, Montana, North Dakota, South Dakota, Utah, Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -113.82002110650585,\n              46.421867179561445\n            ],\n            [\n              -113.82002110650585,\n              39.89961451938157\n            ],\n            [\n              -103.32595673094282,\n              39.89961451938157\n            ],\n            [\n              -103.32595673094282,\n              46.421867179561445\n            ],\n            [\n              -113.82002110650585,\n              46.421867179561445\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/wy-mt-water/\" data-mce-href=\"https://www.usgs.gov/centers/wy-mt-water/\">Wyoming-Montana Water Science Center</a><br>U.S. Geological Survey<br>3162 Bozeman Avenue<br>Helena, MT 59601</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Criteria for Selecting Streamgages for Regression Equations</li><li>Exploring Basin Characteristics as Explanatory Variables</li><li>Regression Analysis</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Regression Equations and Residual Plots for Pooled Regression Models to Assess Regionalization</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2026-02-26","noUsgsAuthors":false,"publicationDate":"2026-02-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Taylor, Nicholas J. 0000-0002-4266-0256","orcid":"https://orcid.org/0000-0002-4266-0256","contributorId":241051,"corporation":false,"usgs":true,"family":"Taylor","given":"Nicholas","middleInitial":"J.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955764,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sando, Roy 0000-0003-0704-6258","orcid":"https://orcid.org/0000-0003-0704-6258","contributorId":3874,"corporation":false,"usgs":true,"family":"Sando","given":"Roy","email":"","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":955765,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70274114,"text":"70274114 - 2026 - Lower Eastern Shore Tributary summary: A summary of trends in tidal water quality and associated factors, 1985-2023","interactions":[],"lastModifiedDate":"2026-05-29T16:15:04.807799","indexId":"70274114","displayToPublicDate":"2026-02-25T11:04:24","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Lower Eastern Shore Tributary summary: A summary of trends in tidal water quality and associated factors, 1985-2023","docAbstract":"<p>The Lower Eastern Shore Tributary Summary outlines change over time according to a suite of monitored tidal water quality parameters and associated potential drivers of those trends for the period 1985 – 2023, and provides a brief description of the current state of knowledge explaining these observed changes. Water quality parameters described include surface (above pycnocline) total nitrogen (TN), surface total phosphorus (TP), surface water temperature (WTEMP), spring (March-May) and summer (July-September) surface chlorophyll a, summer bottom (below pycnocline) dissolved oxygen (DO) concentrations, and Secchi disk depth (a measure of water clarity). Results for annual bottom TP, bottom TN, surface ortho-phosphate (PO4), surface dissolved inorganic nitrogen (DIN), surface total suspended solids (TSS), and summer surface DO concentrations are provided in an Appendix B. Drivers discussed include physiographic watershed characteristics, changes in TN, TP, and sediment loads from the watershed to tidal waters, expected effects of changing land use, and implementation of nutrient management and natural resource conservation practices. Factors internal to estuarine waters that also play a role as drivers are described including biogeochemical processes, physical forces such as winddriven mixing of the water column and increase in rainfall intensity and volume, and biological factors such as phytoplankton biomass and the presence of submersed aquatic vegetation. Continuing to track water quality response and investigating these influencing factors are important steps to understanding water quality patterns and changes in the Lower Eastern Shore. The intended audiences for this report include, but are not limited to, 1) technical managers within jurisdictions who use tidal water quality to inform management decisions, 2) local watershed organizations that are trying to understand these analyses and working to connect them to their local area(s), and 3) federal, state, and academic researchers. Figure 1 presents a conceptual model highlighting these intended audiences. The Tributary Summary documents are sources of readily available background for change over time in tidal water quality observed with monitoring data. They help answer questions related to water quality, show how landscape factors drive water-quality changes over time, provide support for management decisions that may alter water quality trends and living resources conditions, and highlight where there may be information or knowledge gaps. &nbsp;</p>","language":"English","publisher":"Chesapeake Bay Program","usgsCitation":"Sullivan, B.M., Gootman, K.S., Duran, G., Smith, E., Karrh, R., Johnson, C., Mason, C.A., Perry, E., Bhatt, G., Keisman, J.L., Webber, J.S., Harcum, J., Lane, M., Devereux, O., Zhang, Q., Murphy, R., Butler, T., Van Note, V., and Wei, Z., 2026, Lower Eastern Shore Tributary summary: A summary of trends in tidal water quality and associated factors, 1985-2023, 82 p.","productDescription":"82 p.","ipdsId":"IP-179870","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"links":[{"id":500535,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.chesapeakebay.net/projects/tributary-summaries1"},{"id":504870,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Virginia","otherGeospatial":"lower eastern shore","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.2714125165923,\n              38.5756178\n            ],\n            [\n              -75.4205984,\n              38.5756178\n            ],\n            [\n              -75.4205984,\n              37.91821604284614\n            ],\n            [\n              -76.2714125165923,\n              37.91821604284614\n            ],\n            [\n              -76.2714125165923,\n              38.5756178\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sullivan, Breck Maura 0000-0002-9199-7568","orcid":"https://orcid.org/0000-0002-9199-7568","contributorId":291929,"corporation":false,"usgs":true,"family":"Sullivan","given":"Breck","email":"","middleInitial":"Maura","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"preferred":true,"id":956576,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gootman, Kaylyn S. 0000-0001-7046-1716","orcid":"https://orcid.org/0000-0001-7046-1716","contributorId":362130,"corporation":false,"usgs":false,"family":"Gootman","given":"Kaylyn","middleInitial":"S.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":962142,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duran, Gabriel","contributorId":359981,"corporation":false,"usgs":false,"family":"Duran","given":"Gabriel","affiliations":[{"id":52803,"text":"Chesapeake Research Consortium","active":true,"usgs":false}],"preferred":false,"id":962143,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Eva","contributorId":371616,"corporation":false,"usgs":false,"family":"Smith","given":"Eva","affiliations":[],"preferred":false,"id":962144,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Karrh, Renee","contributorId":245830,"corporation":false,"usgs":false,"family":"Karrh","given":"Renee","email":"","affiliations":[{"id":33964,"text":"Maryland Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":962145,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Cindy","contributorId":331409,"corporation":false,"usgs":false,"family":"Johnson","given":"Cindy","email":"","affiliations":[{"id":79202,"text":"VA DEQ","active":true,"usgs":false}],"preferred":false,"id":962146,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mason, Christopher A. 0000-0001-9001-8244","orcid":"https://orcid.org/0000-0001-9001-8244","contributorId":225681,"corporation":false,"usgs":true,"family":"Mason","given":"Christopher","middleInitial":"A.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":962147,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Perry, Elgin","contributorId":243340,"corporation":false,"usgs":false,"family":"Perry","given":"Elgin","affiliations":[{"id":48694,"text":"Statistics Consultant","active":true,"usgs":false}],"preferred":false,"id":962148,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bhatt, Gopal","contributorId":331411,"corporation":false,"usgs":false,"family":"Bhatt","given":"Gopal","affiliations":[{"id":6975,"text":"Penn State","active":true,"usgs":false}],"preferred":false,"id":962149,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Keisman, Jennifer L. 0000-0001-6808-9193 jkeisman@usgs.gov","orcid":"https://orcid.org/0000-0001-6808-9193","contributorId":198107,"corporation":false,"usgs":true,"family":"Keisman","given":"Jennifer","email":"jkeisman@usgs.gov","middleInitial":"L.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"preferred":true,"id":962150,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Webber, James S. 0000-0001-6636-1368","orcid":"https://orcid.org/0000-0001-6636-1368","contributorId":222000,"corporation":false,"usgs":true,"family":"Webber","given":"James","email":"","middleInitial":"S.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":962151,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Harcum, Jon","contributorId":243341,"corporation":false,"usgs":false,"family":"Harcum","given":"Jon","email":"","affiliations":[{"id":48695,"text":"Tetra Tech, Inc.","active":true,"usgs":false}],"preferred":false,"id":962152,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lane, Mike","contributorId":331414,"corporation":false,"usgs":false,"family":"Lane","given":"Mike","email":"","affiliations":[{"id":39577,"text":"ODU","active":true,"usgs":false}],"preferred":false,"id":962153,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Devereux, Olivia","contributorId":331415,"corporation":false,"usgs":false,"family":"Devereux","given":"Olivia","affiliations":[{"id":79203,"text":"Devereux Environmental Consulting","active":true,"usgs":false}],"preferred":false,"id":962154,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Zhang, Qian","contributorId":331417,"corporation":false,"usgs":false,"family":"Zhang","given":"Qian","affiliations":[{"id":79204,"text":"UMCES","active":true,"usgs":false}],"preferred":false,"id":962155,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Murphy, Rebecca","contributorId":331418,"corporation":false,"usgs":false,"family":"Murphy","given":"Rebecca","affiliations":[{"id":79204,"text":"UMCES","active":true,"usgs":false}],"preferred":false,"id":962156,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Butler, Tom","contributorId":331422,"corporation":false,"usgs":false,"family":"Butler","given":"Tom","email":"","affiliations":[{"id":37230,"text":"EPA","active":true,"usgs":false}],"preferred":false,"id":962157,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Van Note, Vanessa","contributorId":331423,"corporation":false,"usgs":false,"family":"Van 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,{"id":70274605,"text":"70274605 - 2026 - Opportunities for the U.S. Geological Survey’s National Seismic Hazard Model to improve seismic risk assessment of critical infrastructure.","interactions":[],"lastModifiedDate":"2026-04-02T19:07:51.068626","indexId":"70274605","displayToPublicDate":"2026-02-25T10:40:48","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7565,"text":"Earthquake Spectra Journal","active":true,"publicationSubtype":{"id":10}},"title":"Opportunities for the U.S. Geological Survey’s National Seismic Hazard Model to improve seismic risk assessment of critical infrastructure.","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>As fragility and risk modeling techniques and computational capabilities evolve, complemented by moving toward more routine and systematic seismic risk assessment of all buildings and critical infrastructure, the authors pose a few critical questions to investigate how the U.S. Geological Survey (USGS) National Seismic Hazard Models (NSHMs) can be used and enhanced further to serve such issues. In this paper, we use three examples from multiple sectors to (1) identify the role of USGS NSHMs in evaluating seismic risks to critical infrastructure, (2) quantify potential impacts from NSHM enhancements (i.e., [i] hazard curves for the vertical component of ground motion, [ii] stochastic event sets, and [iii] maps of probabilistic ground failure hazards), and (3) clarify the feasibility of relevant NSHM improvements. We illuminate that NSHMs are commonly used in location-specific performance assessments, whereas earthquake effects on critical infrastructure can be widespread across large geospatial regions. Further, we found that without the NSHM extensions considered here, risk can be severely underestimated, e.g., neglecting ground failure hazards can underestimate regional loss by a factor of two or more. 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Simon 0000-0003-3017-9585","orcid":"https://orcid.org/0000-0003-3017-9585","contributorId":369125,"corporation":false,"usgs":false,"family":"Kwong","given":"N.","middleInitial":"Simon","affiliations":[{"id":87727,"text":"Senior project engineer, Lettis Consultants International, Inc., Concord, CA 94520","active":true,"usgs":false}],"preferred":false,"id":958487,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70275649,"text":"70275649 - 2026 - Stopover population estimate and migration ecology of Red Knots C. c. rufa at Delaware Bay, USA, 2025","interactions":[{"subject":{"id":70275654,"text":"70275654 - 2026 - Stopover population estimate and migration ecology of Red Knots C. c. rufa at the Delaware Bay, USA, 2025","indexId":"70275654","publicationYear":"2026","noYear":false,"displayTitle":"Stopover population estimate and migration ecology of Red Knots <i>C. c. rufa</i> at the Delaware Bay, USA, 2025","title":"Stopover population estimate and migration ecology of Red Knots C. c. rufa at the Delaware Bay, USA, 2025"},"predicate":"SUPERSEDED_BY","object":{"id":70275649,"text":"70275649 - 2026 - Stopover population estimate and migration ecology of Red Knots C. c. rufa at Delaware Bay, USA, 2025","indexId":"70275649","publicationYear":"2026","noYear":false,"title":"Stopover population estimate and migration ecology of Red Knots C. c. rufa at Delaware Bay, USA, 2025"},"id":1}],"lastModifiedDate":"2026-05-07T13:58:25.534295","indexId":"70275649","displayToPublicDate":"2026-02-25T08:52:39","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"displayTitle":"Stopover population estimate and migration ecology of Red Knots <i>C. c. rufa</i> at Delaware Bay, USA, 2025","title":"Stopover population estimate and migration ecology of Red Knots C. c. rufa at Delaware Bay, USA, 2025","docAbstract":"<p>Red Knots(<i>Calidris canutus rufa</i>) rely on Atlantic horseshoe crab (<i>Limulus polyphemus</i>) eggs in the Delaware Bay to refuel during northward migration. Intensive harvest of horseshoe crabs in the 1990s contributed to declines in Red Knot numbers. In 2013, the Atlantic States Marine Fisheries Commission adopted an Adaptive Resource Management (ARM) framework to balance sustainable horseshoe crab harvest with ecosystem integrity and Red Knot recovery, requiring annual stopover population estimates. We estimated the 2025 passage population of Red Knots at Delaware Bay using a Bayesian analysis of a Jolly–Seber mark–resight model which accounts for population turnover and imperfect detection. We also evaluated change in migration timing between 2011 and 2025 with model-derived estimates of arrival at the Delaware Bay each year. The 2025 passage population was 54,043 individuals (95% credible interval: 47,926–61,928), an increase of approximately 17% over 2024 and only the second year since 2011 to exceed 50,000 individuals. Despite the increase, overlapping credible intervals across years indicate a stable stopover population. Migration timing has remained consistent, with 50% of the population typically arriving by 18 May and no evidence of advancement since 2011. These findings provide meaningful input for the ARMframework, supporting sustainable harvest of horseshoe crabs while maintaining adequate foraging opportunities for Red Knots and other shorebirds.</p>","language":"English","publisher":"Delaware Department of Natural Resources and Environmental Control","usgsCitation":"Lyons, J., 2026, Stopover population estimate and migration ecology of Red Knots C. c. rufa at Delaware Bay, USA, 2025, 19 p.","productDescription":"19 p.","ipdsId":"IP-187379","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":504082,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":504071,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://dnrec.delaware.gov/"}],"country":"United States","state":"Delaware, New Jersey","otherGeospatial":"Delaware Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.1568427,\n              38.7579989\n            ],\n            [\n              -74.7350003,\n              39.1195335\n            ],\n            [\n              -75.4810365,\n              39.497309\n            ],\n            [\n              -75.6333684,\n              39.4731924\n            ],\n            [\n              -75.441977,\n              39.0285642\n            ],\n            [\n              -75.1568427,\n              38.7579989\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lyons, James E. 0000-0002-9810-8751","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":228916,"corporation":false,"usgs":true,"family":"Lyons","given":"James E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":961305,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70274314,"text":"70274314 - 2026 - Magnetic storms and geoelectric hazards","interactions":[],"lastModifiedDate":"2026-06-02T16:10:35.816038","indexId":"70274314","displayToPublicDate":"2026-02-24T10:09:15","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":806,"text":"Annual Review of Earth and Planetary Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Magnetic storms and geoelectric hazards","docAbstract":"<div id=\"abstract_content\" class=\"active tab-pane abstract tabbedsection\"><div class=\"articleabstract\"><div dir=\"auto\"><div class=\"description\"><p>Magnetic storms induce geoelectric fields at Earth's surface that can interfere with grounded long-line systems. The September 1859 storm disrupted global telegraph operations, the March 1989 storm caused a blackout in Canada and interfered with electric-power-transmission systems in the United States, and other storms have had related impacts. The geographic and temporal dependence of geoelectric fields are functions of both geomagnetic variation and local surface impedance, which differ considerably across different geological regions. These dependencies can be mapped across the contiguous United States by combining magnetotelluric impedance tensors with ground magnetometer time series. This review illustrates such mapping for the 1989 storm and shows that power-system interference was experienced where surface impedance is high, and when and where geoelectric fields were intense. Statistical analyses indicate that storms comparable to that of March 1989 occur roughly once every four solar cycles. Ongoing developments in numerical modeling and real-time monitoring are anticipated to enable prediction of geoelectric hazards.</p><ul><li><span class=\"label\">▪&nbsp;<span>&nbsp;</span></span>Magnetic storms can induced electric fields in the solid Earth that interfere with electric-power-transmission systems.</li><li><span class=\"label\">▪&nbsp;<span>&nbsp;</span></span>Geoelectric hazards depend on the storm-time geomagnetic disturbance and the electrical conductivity structure of Earth.</li><li><span class=\"label\">▪&nbsp;<span>&nbsp;</span></span>Historically, impacts on telecommunication and power-transmission systems in the United States have been concentrated in the East and Midwest.</li><li><span class=\"label\">▪&nbsp;<span>&nbsp;</span></span>The future occurrence of a magnetic superstorm could cause widespread disruption of electric-power-transmission systems.</li></ul><p><br data-mce-bogus=\"1\"></p></div></div></div></div><p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"></span></p>","language":"English","publisher":"Annual Reviews","doi":"10.1146/annurev-earth-032524-012356","usgsCitation":"Love, J.J., Bedrosian, P.A., Kelbert, A., Rigler, E.J., Lucas, G.M., and Schnepf, N.R., 2026, Magnetic storms and geoelectric hazards: Annual Review of Earth and Planetary Sciences, v. 54, p. 525-557, https://doi.org/10.1146/annurev-earth-032524-012356.","productDescription":"33 p.","startPage":"525","endPage":"557","ipdsId":"IP-180570","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":501592,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":957845,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":957846,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelbert, Anna","contributorId":367869,"corporation":false,"usgs":false,"family":"Kelbert","given":"Anna","affiliations":[{"id":85814,"text":"Harvard-Smithsonian Center for Astrophysics, Cambridge, Massachusetts, 02138, USA","active":true,"usgs":false}],"preferred":false,"id":957847,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rigler, E. Joshua 0000-0003-4850-3953 erigler@usgs.gov","orcid":"https://orcid.org/0000-0003-4850-3953","contributorId":4367,"corporation":false,"usgs":true,"family":"Rigler","given":"E.","email":"erigler@usgs.gov","middleInitial":"Joshua","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":957848,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lucas, Greg M.","contributorId":367872,"corporation":false,"usgs":false,"family":"Lucas","given":"Greg","middleInitial":"M.","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":957849,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schnepf, Neesha R.","contributorId":367873,"corporation":false,"usgs":false,"family":"Schnepf","given":"Neesha","middleInitial":"R.","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":957850,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70274573,"text":"70274573 - 2026 - Climate change and water quality influence on juvenile Atlantic sturgeon aggregation in the Altamaha River, Georgia","interactions":[],"lastModifiedDate":"2026-04-01T22:30:59.589279","indexId":"70274573","displayToPublicDate":"2026-02-23T15:25:07","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Climate change and water quality influence on juvenile Atlantic sturgeon aggregation in the Altamaha River, Georgia","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>In the summer, juvenile Atlantic sturgeon (</span><i>Acipenser oxyrinchus oxyrinchus</i><span>) are vulnerable to extreme water quality conditions (i.e., temperature, dissolved oxygen [DO], and salinity) in the estuaries they inhabit. The effects of climate change on Atlantic sturgeon are largely unknown, but it may exacerbate these water quality issues. We used a 20-year dataset from the Altamaha River estuary, Georgia, USA to fit negative binomial mixed-effects models describing the relationship between water quality and catch per net hour of juvenile Atlantic sturgeon. Water temperature and DO were significant positive predictors of catch; salinity and sampling year were significant negative predictors. The interaction between temperature and DO was also significant. Water temperature, salinity, and year were significant in explaining variability in catch. Our modeling results suggest that response to water quality depends on fish age. Next, we used global climate projections to construct future climate scenarios incorporating warming water and increased salinity. By coupling these predictions with catch models, we forecast juvenile Atlantic sturgeon catch as a proxy for distribution. Water temperature increases of 1–5&nbsp;°C led to predicted catch increases of 5–24%, although this result may be influenced by aggregation behavior or sampling limitations at high temperatures. Salinity increases of 1–2 ppt led to 9–17% decreases in catch, suggesting that saltwater intrusion may limit future Atlantic sturgeon estuarine habitat availability. Our study combines a long-term dataset with a robust statistical modeling approach to offer some of the first insights into future climate change effects on juvenile Atlantic sturgeon’s southern nursery habitats.</span></span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s10641-026-01818-8","usgsCitation":"Kleinhans, M., Nibbelink, N., Irwin, B., Wenger, S., and Fox, A.G., 2026, Climate change and water quality influence on juvenile Atlantic sturgeon aggregation in the Altamaha River, Georgia: Environmental Biology of Fishes, v. 109, 49, 20 p., https://doi.org/10.1007/s10641-026-01818-8.","productDescription":"49, 20 p.","ipdsId":"IP-176138","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":502064,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10641-026-01818-8","text":"Publisher Index Page"},{"id":501976,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia","otherGeospatial":"Altamaha River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -81.92561023859767,\n              31.34995779368927\n            ],\n            [\n              -81.92561023859767,\n              30.940577592818528\n            ],\n            [\n              -81.32085660186459,\n              30.940577592818528\n            ],\n            [\n              -81.32085660186459,\n              31.34995779368927\n            ],\n            [\n              -81.92561023859767,\n              31.34995779368927\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"109","noUsgsAuthors":false,"publicationDate":"2026-02-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Kleinhans, Maxwell","contributorId":369036,"corporation":false,"usgs":false,"family":"Kleinhans","given":"Maxwell","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":958338,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nibbelink, Nathan","contributorId":369037,"corporation":false,"usgs":false,"family":"Nibbelink","given":"Nathan","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":958339,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Irwin, Brian J. 0000-0002-0666-2641","orcid":"https://orcid.org/0000-0002-0666-2641","contributorId":280043,"corporation":false,"usgs":true,"family":"Irwin","given":"Brian J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":958340,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wenger, Seth","contributorId":261384,"corporation":false,"usgs":false,"family":"Wenger","given":"Seth","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":958341,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fox, Adam G.","contributorId":179021,"corporation":false,"usgs":false,"family":"Fox","given":"Adam","middleInitial":"G.","affiliations":[],"preferred":false,"id":958342,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70274118,"text":"70274118 - 2026 - Evaluating evidence of changing regional occupancy of four bat species in response to forest management practices","interactions":[],"lastModifiedDate":"2026-02-26T16:36:43.114128","indexId":"70274118","displayToPublicDate":"2026-02-23T09:23:39","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating evidence of changing regional occupancy of four bat species in response to forest management practices","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Coordinated, regional strategies to guide effective management and conservation of forests can be used to balance conservation with management for other objectives such as timber, scenic viewsheds, and fire. A key part of these regional strategies is incorporating knowledge of how management actions may affect certain species, especially those that are sensitive or are of concern. However, knowledge of how management actions may affect species is inferred from studies conducted across small areas where the species’ behavior and forest conditions are easily assessed. Here, we examine how occupancy of four bat species responds to forest management across the eastern United States at regional scales. We used range-wide capture and stationary acoustic surveys from the North American Bat Monitoring Program from 2010 to 2020 to estimate yearly summer occupancy for four bat species of conservation concern identified in the U.S. Department of Agriculture Forest Service (USFS) Southern and Eastern Regions Bat Conservation Strategy: little brown bat (</span><i>Myotis lucifugus</i><span>), northern long-eared bat (</span><i>Myotis septentrionalis</i><span>), Indiana bat (</span><i>Myotis sodalis</i><span>), and tricolored bat (</span><i>Perimyotis subflavus</i><span>), and assessed the degree to which occupancy of each species changed after different vegetation management actions were implemented on USFS lands. We identified 78 different management actions that were hypothesized to influence summer bat occupancy at two spatial scales (5-km and 10-km) across the eastern United States from the Forest Service Activity Tracking System and grouped these management actions into four vegetation management types: clear-cutting, fire, thinning, and ground vegetation management. To evaluate potential effects of these vegetation management types on bat occupancy, we created a yearly management metric representing the average number of years that had passed since any one of the included management actions in each management type had been implemented in each 5-km or 10-km grid cell, weighted by the proportion of the grid cell covered by the management treatment history. We chose these metrics to ask if more management or management done recently had a larger effect on bat occupancy than less management or management done long-ago. We then fit Bayesian hierarchical multi-scale occupancy models for each species to assess how occupancy changed in response to the amount and time since implementation of each vegetation management type. Using the estimated relationships between the yearly metrics of management and bat occupancy, we created predictions for how bat occupancy responded at 1- and 5- years after implementation. We found substantial differences in the response of the four species to the four vegetation management types. Ground vegetation management provided the greatest increase in expected occupancy at 1 year after implementation for little brown bat, long-eared bat, and tricolored bat, while fire provided the greatest increase in expected occupancy for Indiana bat. Thinning provided increases for all species at 1 year after implementation, but even greater increases at 5 years after implementation. Clear-cutting, on the other hand, tended to result in decreased occupancy at both 1- and 5-years after implementation for each species and had the greatest effect on tricolored bat at 1 year after implementation. Clear evidence for how management types like these may be affecting bat populations can be used at regional scales to help private and public forest managers achieve their strategic goals.</span></span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2026.123639","usgsCitation":"Inman, R.D., Udell, B.J., Wray, A.K., Straw, B.R., Schuhmann, A.N., Davis, H.T., Sawyer, S.C., Reichert, B.E., 2026, Evaluating evidence of changing regional occupancy of four bat species in response to forest management practices: Forest Ecology and Management, v. 609, 123639, 18 p., https://doi.org/10.1016/j.foreco.2026.123639.","productDescription":"123639, 18 p.","ipdsId":"IP-175875","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":500610,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.foreco.2026.123639","text":"Publisher Index Page"},{"id":500544,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"eastern United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -103.94507498311938,\n              49.11439306544264\n            ],\n            [\n              -102.031608454501,\n              37.16960936265687\n            ],\n            [\n              -101.12190162893889,\n              32.15341099985376\n            ],\n            [\n              -97.9869315035526,\n              26.046215449460533\n            ],\n            [\n              -95.64169482022479,\n              27.80882063370069\n            ],\n            [\n              -86.97849434833398,\n              29.632014384865244\n            ],\n            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       -75.4425935608476,\n              44.95406002813357\n            ],\n            [\n              -83.5783091321246,\n              46.41087392664963\n            ],\n            [\n              -87.70750604347441,\n              48.36691202060416\n            ],\n            [\n              -103.94507498311938,\n              49.11439306544264\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"609","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Inman, Richard D. 0000-0002-1982-7791 rdinman@usgs.gov","orcid":"https://orcid.org/0000-0002-1982-7791","contributorId":187754,"corporation":false,"usgs":true,"family":"Inman","given":"Richard","email":"rdinman@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":956582,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Udell, Bradley James 0000-0001-5225-4959","orcid":"https://orcid.org/0000-0001-5225-4959","contributorId":271174,"corporation":false,"usgs":true,"family":"Udell","given":"Bradley","email":"","middleInitial":"James","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":956583,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wray, Amy Kristine 0000-0001-9685-8308","orcid":"https://orcid.org/0000-0001-9685-8308","contributorId":334941,"corporation":false,"usgs":true,"family":"Wray","given":"Amy","email":"","middleInitial":"Kristine","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":956584,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Straw, Bethany R. 0000-0001-9086-4600","orcid":"https://orcid.org/0000-0001-9086-4600","contributorId":271020,"corporation":false,"usgs":true,"family":"Straw","given":"Bethany","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":956585,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schuhmann, Andrea Nichole 0009-0005-8244-4303","orcid":"https://orcid.org/0009-0005-8244-4303","contributorId":329059,"corporation":false,"usgs":true,"family":"Schuhmann","given":"Andrea","email":"","middleInitial":"Nichole","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":956586,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Davis, Helen Trice 0000-0001-5449-4331","orcid":"https://orcid.org/0000-0001-5449-4331","contributorId":336752,"corporation":false,"usgs":true,"family":"Davis","given":"Helen","middleInitial":"Trice","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":956587,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sawyer, Sarah C.","contributorId":367020,"corporation":false,"usgs":false,"family":"Sawyer","given":"Sarah","middleInitial":"C.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":956588,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Reichert, Brian E. 0000-0002-9640-0695","orcid":"https://orcid.org/0000-0002-9640-0695","contributorId":204260,"corporation":false,"usgs":true,"family":"Reichert","given":"Brian","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":956589,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70274083,"text":"70274083 - 2026 - Site response models based on geometric parameters for southern California sedimentary basins","interactions":[],"lastModifiedDate":"2026-03-09T14:56:34.655448","indexId":"70274083","displayToPublicDate":"2026-02-23T08:23:19","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Site response models based on geometric parameters for southern California sedimentary basins","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Site response in sedimentary basins is influenced by complex three-dimensional (3D) features, including trapping of seismic waves, focusing of seismic energy and basin resonance. Current ground motion models (GMMs) incorporate basin effects using one-dimensional parameters like&nbsp;</span><i>V</i><sub>S30</sub><span>&nbsp;and shear wave velocity isosurface depths, which are limited in capturing lateral and 3D effects. To address these limitations, we develop seismic site response models based on novel parameters that represent multi-dimensional properties of the Los Angeles Basin (LAB) geometry and shear wave velocity. We define a basin shape for the LAB using depth to subsurface geologic interfaces associated with the oldest sedimentary deposits (depth to a particular shear wave velocity horizon, i.e., 1.5 km/s -&nbsp;</span><i>z</i><sub>1.5</sub><span>) and the depth to the crystalline basement (</span><i>z</i><sub>cb</sub><span>) which are determined using geologic cross sections and community seismic velocity model profiles. We explore a suite of geometric descriptors computed for the LAB and southern California, from which three parameters with the greatest predictive potential are selected and evaluated using empirical ground motion residual analyses in combination with the Boore et al. GMM. The results demonstrate that the zonal heterogeneity index (</span><img class=\"fallback__image\" src=\"https://onlinelibrary.wiley.com/cms/asset/3e99f04a-16f9-49db-b9ce-913ee0ba5d27/esp470027-math-0001.png\" alt=\"mathematical equation\" data-mce-src=\"https://onlinelibrary.wiley.com/cms/asset/3e99f04a-16f9-49db-b9ce-913ee0ba5d27/esp470027-math-0001.png\"><span>), standard deviation of the absolute difference between&nbsp;</span><i>z</i><sub>1.5</sub><span>&nbsp;and&nbsp;</span><i>z</i><sub>cb</sub><span>&nbsp;(</span><img class=\"fallback__image\" src=\"https://onlinelibrary.wiley.com/cms/asset/73744d8e-edd1-459c-ace1-6c9601bd79a8/esp470027-math-0002.png\" alt=\"mathematical equation\" data-mce-src=\"https://onlinelibrary.wiley.com/cms/asset/73744d8e-edd1-459c-ace1-6c9601bd79a8/esp470027-math-0002.png\"><span>) and standard deviation of&nbsp;</span><i>z</i><sub>cb</sub><span>&nbsp;(</span><img class=\"fallback__image\" src=\"https://onlinelibrary.wiley.com/cms/asset/a059508a-a126-4be9-a5e4-e9ff621fcb16/esp470027-math-0003.png\" alt=\"mathematical equation\" data-mce-src=\"https://onlinelibrary.wiley.com/cms/asset/a059508a-a126-4be9-a5e4-e9ff621fcb16/esp470027-math-0003.png\"><span>) each provide a reduction in site-to-site variability (</span><i>ϕ</i><sub>S2S</sub><span>) of empirical GMMs. The reduction in&nbsp;</span><i>ϕ</i><sub>S2S</sub><span>&nbsp;is period-dependent, with average decreases of 3%, 26% and 6% for&nbsp;</span><img class=\"fallback__image\" src=\"https://onlinelibrary.wiley.com/cms/asset/1fe160d5-4847-4101-a9ed-2ea7cb834809/esp470027-math-0004.png\" alt=\"mathematical equation\" data-mce-src=\"https://onlinelibrary.wiley.com/cms/asset/1fe160d5-4847-4101-a9ed-2ea7cb834809/esp470027-math-0004.png\"><span>,&nbsp;</span><img class=\"fallback__image\" src=\"https://onlinelibrary.wiley.com/cms/asset/c3ab7828-3ba7-4eb7-8aca-f489a5331f05/esp470027-math-0005.png\" alt=\"mathematical equation\" data-mce-src=\"https://onlinelibrary.wiley.com/cms/asset/c3ab7828-3ba7-4eb7-8aca-f489a5331f05/esp470027-math-0005.png\"><span>, and&nbsp;</span><img class=\"fallback__image\" src=\"https://onlinelibrary.wiley.com/cms/asset/4f21338b-caf4-4e33-8e03-b5349cfe170a/esp470027-math-0006.png\" alt=\"mathematical equation\" data-mce-src=\"https://onlinelibrary.wiley.com/cms/asset/4f21338b-caf4-4e33-8e03-b5349cfe170a/esp470027-math-0006.png\"><span>, respectively. Although these reductions are modest from an engineering application perspective, they are statistically significant, underscoring the inherent difficulty in fully characterising complex basin effects. Collectively, these findings indicate that the inclusion of basin-specific geometric parameters yields measurable, albeit incremental, improvements in site response prediction and establishes a framework for the progressive refinement of seismic hazard characterisation within sedimentary basins.</span></span></p>","language":"English","publisher":"Wiley","doi":"10.1002/esp4.70027","usgsCitation":"Shams, R., Nweke, C.C., and Parker, G.A., 2026, Site response models based on geometric parameters for southern California sedimentary basins: Earthquake Spectra, v. 42, no. 1, e70027, 27 p., https://doi.org/10.1002/esp4.70027.","productDescription":"e70027, 27 p.","ipdsId":"IP-171681","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":501101,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/esp4.70027","text":"Publisher Index Page"},{"id":500479,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"southern California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -120.53506621436776,\n              35.21356617300536\n            ],\n            [\n              -120.79600361096189,\n              34.90448000088518\n            ],\n            [\n              -120.75474337287181,\n              34.34368243947756\n            ],\n            [\n              -118.73627556859424,\n              33.915392671441865\n            ],\n            [\n              -118.45980648687038,\n              34.843303775362216\n            ],\n            [\n              -120.53506621436776,\n              35.21356617300536\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"42","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-02-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Shams, Rashid","contributorId":366973,"corporation":false,"usgs":false,"family":"Shams","given":"Rashid","affiliations":[{"id":47795,"text":"USC","active":true,"usgs":false}],"preferred":false,"id":956491,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nweke, Chukwuebuka C.","contributorId":366974,"corporation":false,"usgs":false,"family":"Nweke","given":"Chukwuebuka","middleInitial":"C.","affiliations":[{"id":47795,"text":"USC","active":true,"usgs":false}],"preferred":false,"id":956492,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parker, Grace Alexandra 0000-0002-9445-2571","orcid":"https://orcid.org/0000-0002-9445-2571","contributorId":237091,"corporation":false,"usgs":true,"family":"Parker","given":"Grace","email":"","middleInitial":"Alexandra","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":956493,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70274153,"text":"70274153 - 2026 - Multireservoir allocation framework considering societal and ecological needs in a time-frequency domain","interactions":[],"lastModifiedDate":"2026-03-03T14:23:51.443064","indexId":"70274153","displayToPublicDate":"2026-02-23T07:44:23","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2501,"text":"Journal of Water Resources Planning and Management","active":true,"publicationSubtype":{"id":10}},"title":"Multireservoir allocation framework considering societal and ecological needs in a time-frequency domain","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Existing reservoir management frameworks traditionally consider historical (predam) flow conditions to deliver environmental flows. Such frameworks may not be feasible because current demand and/or climate could be different from predam conditions. Hence, we developed a multireservoir framework that explicitly considers both human water demands and environmental flow requirements to minimize deviations under current hydroclimatic conditions and demand patterns. The multireservoir framework, Generalized Reservoir Analyses using Probabilistic Streamflow (GRAPS), was modified and implemented to solve the problem of minimizing the flow deviations using feasible sequential quadratic programming for three reservoirs in the Chattahoochee River Basin, Southeastern United States, which is known for its imperiled native biodiversity and productive estuarine ecosystem. Our results show that downstream reservoirs in the cascade system are less influenced by upstream reservoirs’ regulation because the downstream reservoirs receive a significant amount of natural flows. By comparing the average wavelet power spectrum at different periodicities between natural flows and downstream releases, we found that the current release policy and modified releases resulted in highly altered flows under shorter periodicities (e.g.,&nbsp;less than 2&nbsp;months) but synchronized flow variance between natural flow and downstream releases at longer periodicities (e.g.,&nbsp;greater than 3&nbsp;years). This framework of linking the multireservoir allocation model through the time–frequency analysis using wavelet power spectrum could not only advance sustainable water management policies to meet water for human and environmental needs but can also add additional value in meeting the downstream environmental demand at desired periodicities.</span></span></p>","language":"English","publisher":"American Society of Civil Engineers","doi":"10.1061/JWRMD5.WRENG-7006","usgsCitation":"Chalise, D.R., Ford, L., Mahinthakumar, K., Ranjithan, R., Eaton, M.J., and Sankarasubramanian, A., 2026, Multireservoir allocation framework considering societal and ecological needs in a time-frequency domain: Journal of Water Resources Planning and Management, v. 152, no. 5, 04026007, 17 p., https://doi.org/10.1061/JWRMD5.WRENG-7006.","productDescription":"04026007, 17 p.","ipdsId":"IP-167436","costCenters":[{"id":40926,"text":"Southeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":500668,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Florida, Georgia","otherGeospatial":"Chattahoochee River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -84.6901375420256,\n              34.842920854432904\n            ],\n            [\n              -85.6563734170193,\n              32.17035099082393\n            ],\n            [\n              -85.36681091699252,\n              29.6298014571195\n            ],\n            [\n              -84.66969319706918,\n              29.670744490356427\n            ],\n            [\n              -84.5477651592313,\n              30.701515393857616\n            ],\n            [\n              -83.81773860252564,\n              31.585948009453666\n            ],\n            [\n              -83.63233065888338,\n              34.78148617202561\n            ],\n            [\n              -84.6901375420256,\n              34.842920854432904\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"152","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Chalise, Dol Raj","contributorId":367072,"corporation":false,"usgs":false,"family":"Chalise","given":"Dol","middleInitial":"Raj","affiliations":[{"id":87532,"text":"Mesa Associates Inc; NC State Univ.","active":true,"usgs":false}],"preferred":false,"id":956699,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ford, Lucas","contributorId":367073,"corporation":false,"usgs":false,"family":"Ford","given":"Lucas","affiliations":[{"id":87533,"text":"NC State Univ","active":true,"usgs":false}],"preferred":false,"id":956700,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mahinthakumar, Kumar","contributorId":367074,"corporation":false,"usgs":false,"family":"Mahinthakumar","given":"Kumar","affiliations":[{"id":87533,"text":"NC State Univ","active":true,"usgs":false}],"preferred":false,"id":956701,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ranjithan, Ranji","contributorId":367075,"corporation":false,"usgs":false,"family":"Ranjithan","given":"Ranji","affiliations":[{"id":87534,"text":"NC State Unive","active":true,"usgs":false}],"preferred":false,"id":956702,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eaton, Mitchell J. 0000-0001-7324-6333","orcid":"https://orcid.org/0000-0001-7324-6333","contributorId":213526,"corporation":false,"usgs":true,"family":"Eaton","given":"Mitchell","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":956703,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sankarasubramanian, A. 0000-0002-7668-1311","orcid":"https://orcid.org/0000-0002-7668-1311","contributorId":241034,"corporation":false,"usgs":false,"family":"Sankarasubramanian","given":"A.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":956704,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70274079,"text":"70274079 - 2026 - Wavelet Inversion for SliP (WISP): Open-source earthquake slip modeling software","interactions":[],"lastModifiedDate":"2026-02-24T14:51:38.936114","indexId":"70274079","displayToPublicDate":"2026-02-23T07:42:50","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Wavelet Inversion for SliP (WISP): Open-source earthquake slip modeling software","docAbstract":"<p>Models of the spatiotemporal evolution of earthquake slip, termed finite-fault models,&nbsp;are a critical component of rapid earthquake and tsunami response, earthquake forecasting, seismic ground-motion estimates, and studies of earthquake kinematics. Here, we detail a newly released finite-fault modeling software, Wavelet Inversion for SliP&nbsp;(WISP), in use at the U.S. Geological Survey’s National Earthquake Information Center&nbsp;(NEIC) and available to the public. WISP version 1.1.0 allows inversion of teleseismic body&nbsp;and surface waves, as well as local strong-motion, static and dynamic Global Navigation&nbsp;Satellite System, and satellite imagery (e.g., Interferometric Synthetic Aperture Radar)&nbsp;observations on single or multiple planar fault segments. The software is used in&nbsp;NEIC rapid response of earthquakes <i>M</i><sub>w</sub> ≥ 7, generally resulting in a published model&nbsp;within the first few hours after the event origin time. The rupture location and dimensions are then used as inputs to downstream products to estimate earthquake shaking,&nbsp;predict loss, and model the likelihood of secondary hazards, namely landslides and liquefaction. WISP is also used in research studies to evaluate the characteristics of complex&nbsp;ruptures including multifault ruptures and earthquake doublets, among others. The WISP&nbsp;version 1.1.0 software release is composed of Python-wrapped FORTRAN code to accomplish the inversion procedure. A simple command line interface facilitates ease of use&nbsp;even for those with only a cursory knowledge of Python scripting. WISP version 1.1.0&nbsp;includes a Jupyter Notebook tutorial demonstrating use of the software for modeling&nbsp;the 2015 <i>M</i><sub>w</sub> 8.3 Illapel, Chile, earthquake. In parallel with the tutorial, we demonstrate&nbsp;the typical usage of the WISP software using the <i>M</i><sub>w</sub> 8.3 Illapel earthquake example here.</p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220250055","usgsCitation":"Goldberg, D.E., Hunsinger, H., Koch, P., Haynie, K.L., Melgar, D., Riquelme, S., 2026, Wavelet Inversion for SliP (WISP): Open-source earthquake slip modeling software: Seismological Research Letters, 17 p., https://doi.org/10.1785/0220250055.","productDescription":"17 p.","ipdsId":"IP-183439","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":500754,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14RVF65","text":"USGS data release","linkHelpText":"Wavelet Inversion for SliP (WISP)"},{"id":500598,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0220250055","text":"Publisher Index Page"},{"id":500475,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -73.2915060047295,\n              -27.438162221295535\n            ],\n            [\n              -73.2915060047295,\n              -36.968704795768254\n            ],\n            [\n              -70.94626168478015,\n              -36.968704795768254\n            ],\n            [\n              -70.94626168478015,\n              -27.438162221295535\n            ],\n            [\n              -73.2915060047295,\n              -27.438162221295535\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-02-23","publicationStatus":"PW","contributors":{"authors":[{"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":956480,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hunsinger, Heather Elizabeth 0000-0001-7700-9087","orcid":"https://orcid.org/0000-0001-7700-9087","contributorId":352844,"corporation":false,"usgs":true,"family":"Hunsinger","given":"Heather Elizabeth","affiliations":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"preferred":true,"id":956481,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koch, Pablo","contributorId":294680,"corporation":false,"usgs":false,"family":"Koch","given":"Pablo","email":"","affiliations":[{"id":63624,"text":"National Seismological Center, University of Chile","active":true,"usgs":false}],"preferred":false,"id":956482,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haynie, Kirstie Lafon 0000-0001-9930-6736","orcid":"https://orcid.org/0000-0001-9930-6736","contributorId":289894,"corporation":false,"usgs":true,"family":"Haynie","given":"Kirstie","email":"","middleInitial":"Lafon","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":956483,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Melgar, Diego","contributorId":341315,"corporation":false,"usgs":false,"family":"Melgar","given":"Diego","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":956484,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Riquelme, Sebastian","contributorId":193028,"corporation":false,"usgs":false,"family":"Riquelme","given":"Sebastian","email":"","affiliations":[],"preferred":false,"id":956485,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70274555,"text":"70274555 - 2026 - Detecting volcanic deformation in Hawaii using trustworthy multimodal deep learning techniques","interactions":[],"lastModifiedDate":"2026-04-01T21:01:29.164156","indexId":"70274555","displayToPublicDate":"2026-02-21T13:51:50","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Detecting volcanic deformation in Hawaii using trustworthy multimodal deep learning techniques","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Monitoring volcanoes involves a variety of data sources and methods to maintain complete continuity of coverage. Global navigation satellite system (GNSS) and interferometric synthetic aperture radar (InSAR) are commonly used complementary methods to assess the deformation state of a volcano as magma migrates beneath the surface. The amount of data these methods produce, however, is growing rapidly beyond human analysis capabilities and is becoming difficult to manage. Here, we create a novel multimodal deep learning framework to ingest InSAR and GNSS data simultaneously and classify the deformation state of the system. We apply this methodology to Mauna Loa, Hawai‘i given its wealth of InSAR and GNSS data as well as its propensity to deform on multiple timescales. Our model performs with high accuracy and is able to identify both slow and fast deformation from 2015 to 2023. The multimodal nature of our model also allows us to identify the presence of atmospheric noise in InSAR data. Furthermore, we employ explainability algorithms to show that our model is making decisions for the right reasons and to connect complex black-box machine learning mappings to current real-world geodetic interpretations of the Mauna Loa magmatic system.</span></span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s00445-026-01950-4","usgsCitation":"Paladino, T.G., Montgomery-Brown, E.K., Bagnardi, M., Poland, M., and Lee, R.L., 2026, Detecting volcanic deformation in Hawaii using trustworthy multimodal deep learning techniques: Bulletin of Volcanology, v. 88, 28, 22 p., https://doi.org/10.1007/s00445-026-01950-4.","productDescription":"28, 22 p.","ipdsId":"IP-182889","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":502055,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00445-026-01950-4","text":"Publisher Index Page"},{"id":501966,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Mauna Loa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -155.65407582020632,\n              19.593816099063176\n            ],\n            [\n              -155.65407582020632,\n              19.422897333729793\n            ],\n            [\n              -155.4098890103293,\n              19.422897333729793\n            ],\n            [\n              -155.4098890103293,\n              19.593816099063176\n            ],\n            [\n              -155.65407582020632,\n              19.593816099063176\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"88","noUsgsAuthors":false,"publicationDate":"2026-02-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Paladino, Tyler Grant 0000-0002-5443-8046","orcid":"https://orcid.org/0000-0002-5443-8046","contributorId":364568,"corporation":false,"usgs":true,"family":"Paladino","given":"Tyler","middleInitial":"Grant","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":958277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Montgomery-Brown, Emily K. 0000-0001-6787-2055","orcid":"https://orcid.org/0000-0001-6787-2055","contributorId":214074,"corporation":false,"usgs":true,"family":"Montgomery-Brown","given":"Emily","email":"","middleInitial":"K.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":958278,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bagnardi, Marco 0000-0002-4315-0944","orcid":"https://orcid.org/0000-0002-4315-0944","contributorId":335933,"corporation":false,"usgs":true,"family":"Bagnardi","given":"Marco","email":"","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":958279,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Poland, Michael 0000-0001-5240-6123","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":49920,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":true,"id":958280,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lee, R. Lopaka 0000-0002-6352-0340","orcid":"https://orcid.org/0000-0002-6352-0340","contributorId":223777,"corporation":false,"usgs":true,"family":"Lee","given":"R.","email":"","middleInitial":"Lopaka","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":958281,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70274234,"text":"70274234 - 2026 - Chronic exposure to waterborne nickel significantly reduced growth of juvenile crayfish (Faxonius virilis)","interactions":[],"lastModifiedDate":"2026-03-23T14:22:57.40506","indexId":"70274234","displayToPublicDate":"2026-02-20T14:04:35","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Chronic exposure to waterborne nickel significantly reduced growth of juvenile crayfish (<i>Faxonius virilis</i>)","title":"Chronic exposure to waterborne nickel significantly reduced growth of juvenile crayfish (Faxonius virilis)","docAbstract":"<p><span>Crayfish are critical functional components of aquatic ecosystems. Previous research has documented adverse effects of mineral extraction on crayfish. Here, we characterize potential risks of mining-derived waterborne nickel (Ni) to crayfish by documenting the effects of dissolved Ni on growth and food consumption of juvenile virile crayfish (</span><i>Faxonius virilis)</i><span>&nbsp;in a 28-day chronic laboratory exposure. Nominal Ni concentrations ranged from 31.25 to 500 micrograms per liter (µg/L; pH = 7.96 ± 0.20, hardness = 150 ± 1 milligrams per liter as calcium carbonate). Crayfish survival, carapace length, and wet weight were measured. After 28 days of exposure, a 24-h feeding trial was performed to determine differences in food consumption. During the growth trial, 99% of crayfish survived. Change in wet weight and final wet weight were the most sensitive endpoints, with 20% effect concentrations of 24.8 and 22.6&nbsp;µg/L Ni, respectively. Crayfish exposed to an average of 438&nbsp;µg/L Ni consumed 41% less, and weighed 65.1% less, than control crayfish. These results suggest chronic, sublethal exposure to waterborne Ni may have negative effects on crayfish growth. Reduced growth and consumption rates in crayfish could have wide-ranging consequences throughout aquatic ecosystems since crayfish are consumers, prey, keystone trophic regulators, and ecosystem engineers. Finally, these results could inform bioenergetics and may be coupled with population models to predict potential changes in population sizes of native and invasive crayfishes.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10646-026-03036-5","usgsCitation":"Moore, A.P., Wildhaber, M.L., Beaman, Z.D., Bennett, K.R., Ditter, K.K., Cleveland, D.M., Blanton, J., and Grant, T.J., 2026, Chronic exposure to waterborne nickel significantly reduced growth of juvenile crayfish (Faxonius virilis): Ecotoxicology, v. 35, 64, https://doi.org/10.1007/s10646-026-03036-5.","productDescription":"64","ipdsId":"IP-179855","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":501386,"rank":4,"type":{"id":42,"text":"Open Access USGS Document"},"url":"https://pubs.usgs.gov/publication/70274234/full"},{"id":501385,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/ja/70274234/images/"},{"id":501384,"rank":2,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/ja/70274234/70274234.XML"},{"id":501228,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","noUsgsAuthors":false,"publicationDate":"2026-02-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Moore, Adrian Parr 0000-0001-9277-6399","orcid":"https://orcid.org/0000-0001-9277-6399","contributorId":298590,"corporation":false,"usgs":true,"family":"Moore","given":"Adrian","email":"","middleInitial":"Parr","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":957109,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wildhaber, Mark L. 0000-0002-6538-9083 mwildhaber@usgs.gov","orcid":"https://orcid.org/0000-0002-6538-9083","contributorId":1386,"corporation":false,"usgs":true,"family":"Wildhaber","given":"Mark","email":"mwildhaber@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":957110,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beaman, Zachary D 0000-0001-9649-1585","orcid":"https://orcid.org/0000-0001-9649-1585","contributorId":312457,"corporation":false,"usgs":true,"family":"Beaman","given":"Zachary","email":"","middleInitial":"D","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":957111,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bennett, Kendell Ray 0000-0001-6081-7002","orcid":"https://orcid.org/0000-0001-6081-7002","contributorId":334116,"corporation":false,"usgs":true,"family":"Bennett","given":"Kendell","email":"","middleInitial":"Ray","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":957112,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ditter, Karlie K 0000-0001-8970-2022","orcid":"https://orcid.org/0000-0001-8970-2022","contributorId":312455,"corporation":false,"usgs":true,"family":"Ditter","given":"Karlie","email":"","middleInitial":"K","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":957113,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cleveland, Danielle M. 0000-0003-3880-4584 dcleveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3880-4584","contributorId":187471,"corporation":false,"usgs":true,"family":"Cleveland","given":"Danielle","email":"dcleveland@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":957114,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Blanton, J.","contributorId":89345,"corporation":false,"usgs":true,"family":"Blanton","given":"J.","email":"","affiliations":[],"preferred":false,"id":957115,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Grant, Tyler J.","contributorId":149938,"corporation":false,"usgs":false,"family":"Grant","given":"Tyler","email":"","middleInitial":"J.","affiliations":[{"id":17858,"text":"Iowa State U, Ames, IA","active":true,"usgs":false}],"preferred":false,"id":957116,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70274574,"text":"70274574 - 2026 - Trust-building as a keystone activity in beaver-related restoration practice","interactions":[],"lastModifiedDate":"2026-04-01T16:37:12.595073","indexId":"70274574","displayToPublicDate":"2026-02-20T09:28:37","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Trust-building as a keystone activity in beaver-related restoration practice","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>North American beavers (</span><i>Castor canadensis</i><span>) are increasingly being used to achieve restoration goals, prompting practitioners to engage with private landowners in efforts to promote beaver coexistence. Through 23 semi-structured interviews with restoration practitioners in Oregon, USA, we explored how practitioners from government agencies, non-governmental organizations (NGOs), service organizations, and private businesses communicate with private landowners about nonlethal beaver management and habitat creation. Using abductive analysis, we identified trust-building as an essential element of restoration practice. Practitioners described 60 tactics for building trust, which we organized using the Shared Foundations model of trust and distrust and the adaptive management cycle to bridge theory with field-based experience. Practitioners also reported navigating tensions between tactics and adapting their approaches to individual landowners and contexts. We argue that trust-building is a craft that can be mastered, propose a potential progression from novice to master trust-builder, and highlight the need for greater attention to trust, relationships, and trust repair in environmental management. Our findings offer a theoretically grounded yet practitioner-informed framework for understanding and improving trust-building efforts in restoration practice.</span></span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s00267-026-02400-9","usgsCitation":"Erickson, B.D., and Jones, M.S., 2026, Trust-building as a keystone activity in beaver-related restoration practice: Environmental Management, v. 76, 110, 16 p., https://doi.org/10.1007/s00267-026-02400-9.","productDescription":"110, 16 p.","ipdsId":"IP-184779","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":502049,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00267-026-02400-9","text":"Publisher Index Page"},{"id":501952,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -124.23853076911831,\n              46.240570035688165\n            ],\n            [\n              -124.67829678787554,\n              42.66685258151891\n            ],\n            [\n              -124.39381012914876,\n              41.995038024510364\n            ],\n            [\n              -117.01230604375972,\n              41.97025659471865\n            ],\n            [\n              -117.06282012339243,\n              44.48762153969409\n            ],\n            [\n              -116.30658335589958,\n              45.585850866979015\n            ],\n            [\n              -116.59266632544107,\n              46.0641293518556\n            ],\n            [\n              -124.23853076911831,\n              46.240570035688165\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"76","noUsgsAuthors":false,"publicationDate":"2026-02-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Erickson, Brian D.","contributorId":369042,"corporation":false,"usgs":false,"family":"Erickson","given":"Brian","middleInitial":"D.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":958343,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Megan Siobhan 0000-0002-4284-3650","orcid":"https://orcid.org/0000-0002-4284-3650","contributorId":294651,"corporation":false,"usgs":true,"family":"Jones","given":"Megan","email":"","middleInitial":"Siobhan","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":958344,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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