{"pageNumber":"8","pageRowStart":"175","pageSize":"25","recordCount":40754,"records":[{"id":70272805,"text":"70272805 - 2026 - SURF: An automated method for building nonplanar 3D fault models from earthquake hypocenters","interactions":[],"lastModifiedDate":"2026-02-24T16:18:42.365408","indexId":"70272805","displayToPublicDate":"2025-10-08T08:06:07","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":"SURF: An automated method for building nonplanar 3D fault models from earthquake hypocenters","docAbstract":"<p><span>Accurately characterizing 3D fault geometry is vital for improving our understanding of earthquake behavior and informing the development of seismic hazard models. Despite their importance, subsurface fault structures tend to be poorly constrained because of limitations in observational data. Improvements to the seismic networks and earthquake detection algorithms have increased the precision and volume of earthquake catalogs, which help illuminate detailed subsurface fault structure and provide the most direct information available about fault geometries at depth. We present a Python package to automate generating 3D fault geometries directly from hypocentral seismicity patterns. This method begins with clustering events based on their spatial density, identifying coherent patterns. Nearby clusters are then merged based on the similarity of their orientations. We fit nonplanar surfaces using support vector regression to balance surface accuracy with minimal deviations from planarity. The fault models are output as quadrilateral meshes at user‐defined resolution. In the process of generating the 3D fault surfaces, we compute the spatial density of seismicity around the surface and the planarity as quantitative metrics of the model outputs.</span></p><p><span>As a proof of concept, we apply this approach to the San Andreas–Calaveras fault junction region and the 2019 Ridgecrest earthquake sequence, both in California, which contain complex subparallel faults well defined at the Earth’s surface and abundant microseismicity. These case studies demonstrate the method’s ability to model complex fault structures, including long continuous fault surfaces, crossing faults, variably dipping segments, and subparallel faults. We test the method on both standard network catalogs and double‐difference relocated catalogs. We find that our seismicity‐based fault model results align with published 3D models that incorporate additional constraints and interpretations (<a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf51\">Plesch&nbsp;<i>et&nbsp;al.</i>, 2020</a>;&nbsp;<a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf1\">Aagaard and Hirakawa, 2021</a>). This workflow provides a low‐user‐input solution for estimating fault geometries at depth from earthquake catalogs.</span></p>","language":"English","publisher":"GeoScienceWorld","doi":"10.1785/0220250126","usgsCitation":"Alongi, T., Elliott, A., Skoumal, R.J., Shelly, D.R., and Hatem, A.E., 2025, SURF: An automated method for building nonplanar 3D fault models from earthquake hypocenters: Seismological Research Letters, 17 p., https://doi.org/10.1785/0220250126.","productDescription":"17 p.","startPage":"1174","endPage":"1190","ipdsId":"IP-178312","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":497278,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":497408,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0220250126","text":"Publisher Index Page"}],"country":"United States","state":"California","otherGeospatial":"San Juan Bautista region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.25291945869327,\n              37.524171519157804\n            ],\n            [\n              -122.25291945869327,\n              36.474162123504954\n            ],\n            [\n              -120.47224721181419,\n              36.474162123504954\n            ],\n            [\n              -120.47224721181419,\n              37.524171519157804\n            ],\n            [\n              -122.25291945869327,\n              37.524171519157804\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"97","issue":"2A","noUsgsAuthors":false,"publicationDate":"2025-10-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Alongi, Travis Vincent 0000-0002-0865-8064","orcid":"https://orcid.org/0000-0002-0865-8064","contributorId":335029,"corporation":false,"usgs":true,"family":"Alongi","given":"Travis Vincent","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":951821,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elliott, Austin J.","contributorId":191820,"corporation":false,"usgs":false,"family":"Elliott","given":"Austin J.","affiliations":[],"preferred":false,"id":951822,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Skoumal, Robert J. 0000-0002-5627-6239 rskoumal@usgs.gov","orcid":"https://orcid.org/0000-0002-5627-6239","contributorId":191213,"corporation":false,"usgs":true,"family":"Skoumal","given":"Robert","email":"rskoumal@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":951823,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shelly, David R. 0000-0003-2783-5158 dshelly@usgs.gov","orcid":"https://orcid.org/0000-0003-2783-5158","contributorId":206750,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":951824,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hatem, Alexandra Elise 0000-0001-7584-2235","orcid":"https://orcid.org/0000-0001-7584-2235","contributorId":225597,"corporation":false,"usgs":true,"family":"Hatem","given":"Alexandra","email":"","middleInitial":"Elise","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":951825,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70273095,"text":"70273095 - 2026 - Synthesis of observed field salinity ranges for oyster and seagrass species in the U.S.","interactions":[],"lastModifiedDate":"2025-12-15T15:34:53.336829","indexId":"70273095","displayToPublicDate":"2025-10-06T09:29:18","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Synthesis of observed field salinity ranges for oyster and seagrass species in the U.S.","docAbstract":"<p><span>Oyster and seagrass are important sessile, habitat-forming species that may be impacted by changes in salinity regimes from anthropogenic or climatic drivers. While salinity tolerance literature is focused on controlled experiments, observed field salinity ranges of species are more disparate. The salinity ranges in which organisms are observed in the field may not align exactly with their experimentally (wet lab) determined physiological salinity tolerances, since other critical factors control species occurrence. We performed a systematic review to synthesize observed practical salinity ranges for 10 oyster and 12 seagrass species in coastal waters of the United States. Of initially returned search results for oysters and seagrass, only 11.4% and 6.5% met our review inclusion criteria, respectively, corresponding to 3 oyster species and 5 seagrass species. The majority (95%) of the 57 reviewed studies were along the Atlantic and Gulf coasts, with 68% focusing on&nbsp;</span><i>Crassostrea virginica</i><span>. Shorter studies following episodic events were more common than long-term monitoring. Observed field salinity ranges were as follows (ppt):&nbsp;</span><i>Crassostrea virginica</i><span>&nbsp;(0.1 – 42.8, mean: 19.6),&nbsp;</span><i>Ostrea lurida</i><span>&nbsp;(1.7 – 32.5, mean: 27.8),&nbsp;</span><i>Thalassia testudinum</i><span>&nbsp;(0 – 65, mean 31.8),&nbsp;</span><i>Halodule wrightii</i><span>&nbsp;(&lt;0.5 – 68.7, mean: 18.5),&nbsp;</span><i>Syringodium filiforme</i><span>&nbsp;(13.7 – 68.7, mean: 30.4),&nbsp;</span><i>Ruppia maritima</i><span>&nbsp;(0 – 29.4, mean: 3.8), and&nbsp;</span><i>Zostera marina</i><span>&nbsp;(19.7 – 51.2, mean: 28.9). Place-based examples highlight how reported overlapping salinity ranges for oyster and seagrass species can be used to expand existing habitat suitability models, inform restoration, and provide considerations for guiding holistic management of freshwater inflows to estuaries.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s12237-025-01612-2","usgsCitation":"Lee, C.I., Yurek, S., Eggleston, D.B., and Nelson, N.G., 2026, Synthesis of observed field salinity ranges for oyster and seagrass species in the U.S.: Estuaries and Coasts, v. 49, no. 1, 6, 17 p., https://doi.org/10.1007/s12237-025-01612-2.","productDescription":"6, 17 p.","ipdsId":"IP-177880","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":40926,"text":"Southeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":497720,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-025-01612-2","text":"Publisher Index Page"},{"id":497521,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -78.05180427924824,\n              34.156293622797904\n            ],\n            [\n              -98.26153628209767,\n              34.156293622797904\n            ],\n            [\n              -98.26153628209767,\n              25.470255691287306\n            ],\n            [\n              -78.05180427924824,\n              25.470255691287306\n            ],\n            [\n              -78.05180427924824,\n              34.156293622797904\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -77.98279743473127,\n              35.55163183808813\n            ],\n            [\n              -74.4305365468822,\n              34.382270772967786\n            ],\n            [\n              -70.46039450615038,\n              41.242867006876565\n            ],\n            [\n              -74.81827385805595,\n              42.09233788545146\n            ],\n            [\n              -77.7858196983815,\n              39.46530547564973\n            ],\n            [\n              -77.98279743473127,\n              35.55163183808813\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -118.1588253458508,\n              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I.","contributorId":364189,"corporation":false,"usgs":false,"family":"Lee","given":"Charlotte","middleInitial":"I.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":952305,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yurek, Simeon 0000-0002-6209-7915","orcid":"https://orcid.org/0000-0002-6209-7915","contributorId":216705,"corporation":false,"usgs":true,"family":"Yurek","given":"Simeon","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":952306,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eggleston, David B.","contributorId":364190,"corporation":false,"usgs":false,"family":"Eggleston","given":"David","middleInitial":"B.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":952307,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nelson, Natalie G. 0000-0002-3258-7622","orcid":"https://orcid.org/0000-0002-3258-7622","contributorId":364191,"corporation":false,"usgs":false,"family":"Nelson","given":"Natalie","middleInitial":"G.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":952308,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70272094,"text":"70272094 - 2026 - Late Pleistocene kinematics of the Great Southern Puerto Rico Fault Zone, Puerto Rico","interactions":[],"lastModifiedDate":"2026-02-24T16:10:03.057498","indexId":"70272094","displayToPublicDate":"2025-10-02T08:20:51","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":"Late Pleistocene kinematics of the Great Southern Puerto Rico Fault Zone, Puerto Rico","docAbstract":"<p><span>Several onshore faults in southern Puerto Rico have recently been recognized as Quaternary active. However, the kinematics of these faults, particularly any lateral component, remain largely unconstrained. It is difficult to characterize low strain‐rate faults, partially due to extensive erosional and anthropogenic landscape modification, steep relief, and frequent landsliding, limiting the preservation of geomorphic features that could serve as recorders of fault motion. Here, we constrain the kinematics along sections of the Great Southern Puerto Rico Fault Zone (GSPRFZ) on the southern coastal plain of Puerto Rico. We integrate ∼1‐m‐resolution light detection and ranging (lidar)‐derived topography, historical air photos, and field mapping to identify a series of ∼50–1200‐m‐long fault scarps and lineaments that trend northwest–southeast and extend for ≥25&nbsp;km across the southern coastal plain. Fault scarps are primarily south facing, cut across topography, and displace Quaternary deposits and landforms. We document multiple offset geomorphic markers, including channel thalwegs and interfluves formed in deposits previously mapped as Quaternary piedmont alluvial plain. We observe both vertical (south‐side‐down) and right‐lateral meter‐scale displacements, which indicate that the GSPRFZ accommodates right‐lateral oblique motion in the late Pleistocene, consistent with northeast motion of the Puerto Rico and the Virgin Islands microplate away from the Hispaniola block.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220250116","usgsCitation":"Lynch, E.M., Jobe, J.A., Briggs, R.W., Tan, M.M., Ortega Díaz, V., and Hughes, K.S., 2025, Late Pleistocene kinematics of the Great Southern Puerto Rico Fault Zone, Puerto Rico: Seismological Research Letters, 20 p., https://doi.org/10.1785/0220250116.","productDescription":"20 p.","startPage":"11366","endPage":"1155","ipdsId":"IP-175725","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":496485,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Puerto Rico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -67.27964752849539,\n              18.568005378001303\n            ],\n            [\n              -67.27964752849539,\n              17.86172011237666\n            ],\n            [\n              -65.21697033989997,\n              17.86172011237666\n            ],\n            [\n              -65.21697033989997,\n              18.568005378001303\n            ],\n            [\n              -67.27964752849539,\n              18.568005378001303\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"97","issue":"2A","noUsgsAuthors":false,"publicationDate":"2025-10-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Lynch, Emerson Madelyn 0000-0003-1419-1373","orcid":"https://orcid.org/0000-0003-1419-1373","contributorId":360726,"corporation":false,"usgs":true,"family":"Lynch","given":"Emerson","middleInitial":"Madelyn","affiliations":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"preferred":true,"id":950043,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jobe, Jessica Ann Thompson 0000-0001-5574-4523","orcid":"https://orcid.org/0000-0001-5574-4523","contributorId":295377,"corporation":false,"usgs":true,"family":"Jobe","given":"Jessica","email":"","middleInitial":"Ann Thompson","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":950044,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":4136,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":950045,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tan, M. Morow 0000-0003-2959-5733","orcid":"https://orcid.org/0000-0003-2959-5733","contributorId":360727,"corporation":false,"usgs":false,"family":"Tan","given":"M.","middleInitial":"Morow","affiliations":[{"id":86089,"text":"University of Colorado Boulder Department of Geological Sciences","active":true,"usgs":false}],"preferred":false,"id":950046,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ortega Díaz, Victor","contributorId":360728,"corporation":false,"usgs":false,"family":"Ortega Díaz","given":"Victor","affiliations":[{"id":62735,"text":"University of Puerto Rico Mayagüez","active":true,"usgs":false}],"preferred":false,"id":950047,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hughes, K. Stephen 0000-0001-9820-3188","orcid":"https://orcid.org/0000-0001-9820-3188","contributorId":360729,"corporation":false,"usgs":false,"family":"Hughes","given":"K.","middleInitial":"Stephen","affiliations":[{"id":62735,"text":"University of Puerto Rico Mayagüez","active":true,"usgs":false}],"preferred":false,"id":950048,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70272184,"text":"70272184 - 2026 - Earthquake magnitude and source parameter estimation with a distributed acoustic sensing dataset in the Gorda subduction zone","interactions":[],"lastModifiedDate":"2026-02-09T16:06:00.870523","indexId":"70272184","displayToPublicDate":"2025-10-01T10:17:30","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Earthquake magnitude and source parameter estimation with a distributed acoustic sensing dataset in the Gorda subduction zone","docAbstract":"<div id=\"152894609-content\" class=\"article-section-wrapper js-article-section js-content-section  \" data-section-parent-id=\"0\"><p>Distributed acoustic sensing (DAS) systems offer a cost‐effective way to create large‐scale strainmeter arrays for seismological applications using fiber‐optic cables. DAS‐based strain measurements are known to be influenced by various factors, bringing into question their general reliability for accurate earthquake characterization. A 15‐km‐long DAS deployment in northern California was operational within 3&nbsp;days of the 2022<span><i> M</i><sub>w</sub></span>&nbsp;6.4 Ferndale earthquake and ran continuously throughout the aftershock sequence. We utilize these aftershock data to validate DAS‐based strain measurements in two ways. We first test the accuracy of DAS‐based magnitude estimates from peak dynamic strains by comparing them with magnitude and attenuation scaling relations derived independently from traditional borehole strainmeter (BSM) data. We demonstrate that DAS‐based magnitudes are comparable to BSM‐based magnitudes when corrections for variations in site response along the fiber‐optic cable are properly made. Magnitude errors are spatially correlated, potentially because of factors such as finite‐fault effects (e.g., stress drop) or more complex, unmodeled path attenuation or because of wave propagation effects in heterogeneous media. We then apply more advanced source characterization methodology to the DAS data using a time‐domain empirical Green’s function (EGF) deconvolution approach to measure details of the moment rate history. The EGF approach using DAS data depends on careful treatment of distorting factors such as anthropogenic sources of noise and optical phase wrapping but successfully isolates source spectra for moderate‐magnitude earthquakes: source spectral ratios obtained from DAS data, broadband seismometer data, and BSM data in the same region show consistent results, revealing differences in directivity and spectral shape among earthquakes. Although further research is needed to refine source‐time‐function estimation techniques for DAS data, particularly for larger magnitude events, these case studies demonstrate the clear potential of DAS for earthquake source characterization.</p></div>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120250077","usgsCitation":"Barbour, A.J., McGuire, J.J., Karrenbach, M., McPherson, R., Hemphill-Haley, M., and Stewart, C., 2026, Earthquake magnitude and source parameter estimation with a distributed acoustic sensing dataset in the Gorda subduction zone: Bulletin of the Seismological Society of America, v. 116, no. 1, p. 355-374, https://doi.org/10.1785/0120250077.","productDescription":"20 p.","startPage":"355","endPage":"374","ipdsId":"IP-176772","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":496595,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":496738,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0120250077","text":"Publisher Index Page"}],"country":"United States","state":"California","county":"Humboldt County","otherGeospatial":"Gorda subduction zone","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -125.5,\n              41.5\n            ],\n            [\n              -125.5,\n              39.5\n            ],\n            [\n              -123.5,\n              39.5\n            ],\n            [\n              -123.5,\n              41.5\n            ],\n            [\n              -125.5,\n              41.5\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"116","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-10-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Barbour, Andrew J. 0000-0002-6890-2452","orcid":"https://orcid.org/0000-0002-6890-2452","contributorId":215339,"corporation":false,"usgs":true,"family":"Barbour","given":"Andrew","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":950360,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGuire, Jeffrey J. 0000-0001-9235-2166","orcid":"https://orcid.org/0000-0001-9235-2166","contributorId":220939,"corporation":false,"usgs":true,"family":"McGuire","given":"Jeffrey","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":950361,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Karrenbach, Martin","contributorId":353682,"corporation":false,"usgs":false,"family":"Karrenbach","given":"Martin","affiliations":[{"id":84462,"text":"Seismics Unuusal","active":true,"usgs":false}],"preferred":false,"id":950362,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McPherson, Robert","contributorId":336975,"corporation":false,"usgs":false,"family":"McPherson","given":"Robert","affiliations":[{"id":63943,"text":"Cal Poly Humboldt","active":true,"usgs":false}],"preferred":false,"id":950363,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hemphill-Haley, Mark","contributorId":295931,"corporation":false,"usgs":false,"family":"Hemphill-Haley","given":"Mark","affiliations":[{"id":63943,"text":"Cal Poly Humboldt","active":true,"usgs":false}],"preferred":false,"id":950364,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stewart, Connie","contributorId":361970,"corporation":false,"usgs":false,"family":"Stewart","given":"Connie","affiliations":[{"id":65879,"text":"California State Polytechnic University, Humboldt","active":true,"usgs":false}],"preferred":false,"id":950365,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70273995,"text":"70273995 - 2026 - Laboratory transmission of adult salmon enteritis and associated pathogens in juvenile Chinook salmon (<i>Oncorhynchus tshawytscha</i>)","interactions":[],"lastModifiedDate":"2026-03-09T14:55:01.917538","indexId":"70273995","displayToPublicDate":"2025-09-29T11:48:26","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2286,"text":"Journal of Fish Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Laboratory transmission of adult salmon enteritis and associated pathogens in juvenile Chinook salmon (<i>Oncorhynchus tshawytscha</i>)","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Adult salmon enteritis (ASE), characterised by severe ulcerative enteritis, has been linked to prespawn mortality (PSM) in spring Chinook salmon (</span><i>Oncorhynchus tshawytscha</i><span>) in certain rivers in Oregon, USA. Catastrophic losses of spring Chinook salmon have resulted from PSM, a significant threat to their population stability. Understanding the causes of ASE is therefore critical for mitigating PSM and supporting conservation. This study investigates the potential infectious aetiology of ASE using a juvenile Chinook salmon model. Fish were immunocompromised with dexamethasone implants, fasted, and exposed to intestinal tissues from ASE-affected adult Chinook. Histopathology of recipient fish revealed mid-intestinal lesions consistent with ASE. The microsporidium&nbsp;</span><i>Enterocytozoon schreckii</i><span>, which is observed in ASE-affected adults from rivers, was transmitted for the first time to juvenile Chinook Salmon, making&nbsp;</span><i>E. schreckii</i><span>&nbsp;a potential new pathogen of juvenile salmon. Additionally, intranuclear inclusions were identified in enterocytes by histopathology and viral particles were detected by electron microscopy in recipient fish. The study demonstrates that intestinal lesions consistent with ASE can be experimentally induced in juvenile Chinook salmon through oral exposure to infected tissues, supporting an infectious aetiology. Further research is needed to isolate specific pathogens, including viruses and&nbsp;</span><i>E. schreckii</i><span>, and to elucidate their roles in ASE development.</span></span></p>","language":"English","publisher":"Wiley","doi":"10.1111/jfd.70063","usgsCitation":"Polley, T., Couch, C.E., Leong, C., Peterson, J.T., Weiss, L.M., Takvorian, P.M., and Kent, M.L., 2026, Laboratory transmission of adult salmon enteritis and associated pathogens in juvenile Chinook salmon (<i>Oncorhynchus tshawytscha</i>): Journal of Fish Diseases, v. 49, no. 4, e70063, https://doi.org/10.1111/jfd.70063.","productDescription":"e70063","ipdsId":"IP-176950","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500365,"rank":1,"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              -124.0513003030479,\n              46.27312980016177\n            ],\n            [\n              -124.8201305753235,\n              42.02283831436401\n            ],\n            [\n              -117.06920092722393,\n              42.02283831436401\n            ],\n            [\n              -116.91041886924464,\n              44.23771174691564\n            ],\n            [\n              -116.45837265782083,\n              45.829798206918255\n            ],\n            [\n              -117.06194688328284,\n              46.00978563520533\n            ],\n            [\n              -124.0513003030479,\n              46.27312980016177\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"49","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-09-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Polley, Tamsen","contributorId":366582,"corporation":false,"usgs":false,"family":"Polley","given":"Tamsen","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":956068,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Couch, Claire E. 0000-0003-4983-3719","orcid":"https://orcid.org/0000-0003-4983-3719","contributorId":359728,"corporation":false,"usgs":true,"family":"Couch","given":"Claire","middleInitial":"E.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":956069,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leong, Connor","contributorId":366583,"corporation":false,"usgs":false,"family":"Leong","given":"Connor","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":956070,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":956071,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weiss, Louis M.","contributorId":366584,"corporation":false,"usgs":false,"family":"Weiss","given":"Louis","middleInitial":"M.","affiliations":[{"id":87497,"text":"Albert Einstein College of Medicine","active":true,"usgs":false}],"preferred":false,"id":956072,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Takvorian, Peter M.","contributorId":366585,"corporation":false,"usgs":false,"family":"Takvorian","given":"Peter","middleInitial":"M.","affiliations":[{"id":87497,"text":"Albert Einstein College of Medicine","active":true,"usgs":false}],"preferred":false,"id":956073,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kent, Michael L.","contributorId":366586,"corporation":false,"usgs":false,"family":"Kent","given":"Michael","middleInitial":"L.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":956074,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70272302,"text":"70272302 - 2026 - An approach to modeling abundance of marine wildlife over space and time using unstructured aerial surveys","interactions":[],"lastModifiedDate":"2026-01-06T14:14:50.268483","indexId":"70272302","displayToPublicDate":"2025-09-29T09:44:39","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"An approach to modeling abundance of marine wildlife over space and time using unstructured aerial surveys","docAbstract":"<p><span>Estimating spatial and temporal patterns in abundance is often a goal of ecological studies and can be useful for informing management decisions, such as determining the optimal placement of wildlife protection zones. However, estimating abundance can be difficult in practice, especially over large areas, because of imperfect detection, where individuals are present but not detected because of either availability or observer error. Several methods for estimating abundance that account for imperfect detection exist but can be logistically challenging to implement. We present a simpler approach to some of the more commonly used techniques for estimating the abundance of marine wildlife over space and time from unstructured aerial surveys. This approach combines a spatial model for count data with auxiliary information on detection probability obtained from small-scale or previous studies. We employ generalized linear models and generalized additive models with spatial habitat covariates to illustrate this approach using maximum-likelihood with free, open-source statistical software. This framework is intended to be accessible and flexible, requiring lower survey costs and less computation time than other alternatives for estimating abundance. Indeed, our simulation results show that this approach can reduce computation times, while appropriately characterizing uncertainty, compared to a Bayesian approach. We also present R code for our approach using an example of estimating Florida manatee (</span><i>Trichechus manatus latirostris</i><span>) abundance in Indian River County in Florida, USA. This approach could be applied to other study systems and marine wildlife species using unstructured aerial surveys.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.70123","usgsCitation":"Gowan, T., Moore, J., Edwards, H., Goode, A.B., and Martin, J., 2026, An approach to modeling abundance of marine wildlife over space and time using unstructured aerial surveys: Journal of Wildlife Management, v. 90, no. 1, e70123, 13 p., https://doi.org/10.1002/jwmg.70123.","productDescription":"e70123, 13 p.","ipdsId":"IP-162997","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":496688,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -80.89073741234508,\n              28.075579800033395\n            ],\n            [\n              -80.90350757932309,\n              27.9850763978486\n            ],\n            [\n              -80.87434903138963,\n              27.904913353151365\n            ],\n            [\n              -80.52338227560871,\n              27.811207406010766\n            ],\n            [\n              -80.39184955573482,\n              27.54017953909647\n            ],\n            [\n              -80.29735032009685,\n              27.542444169405414\n            ],\n            [\n              -80.51188912532828,\n              28.08158882317049\n            ],\n            [\n              -80.89073741234508,\n              28.075579800033395\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"90","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-09-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Gowan, Timothy A.","contributorId":335405,"corporation":false,"usgs":false,"family":"Gowan","given":"Timothy A.","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":950728,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moore, Jennifer","contributorId":328646,"corporation":false,"usgs":false,"family":"Moore","given":"Jennifer","affiliations":[{"id":78438,"text":"Moore Ecological Analysis and Management, LLC","active":true,"usgs":false}],"preferred":false,"id":950729,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Edwards, Holly","contributorId":211646,"corporation":false,"usgs":false,"family":"Edwards","given":"Holly","affiliations":[{"id":35758,"text":"FWC","active":true,"usgs":false}],"preferred":false,"id":950730,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goode, Ashley B.C.","contributorId":332463,"corporation":false,"usgs":false,"family":"Goode","given":"Ashley","middleInitial":"B.C.","affiliations":[{"id":33268,"text":"USDA-ARS Aquatic Weed Research Laboratory","active":true,"usgs":false}],"preferred":false,"id":950731,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Martin, Julien 0000-0002-7375-129X","orcid":"https://orcid.org/0000-0002-7375-129X","contributorId":213876,"corporation":false,"usgs":true,"family":"Martin","given":"Julien","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":950732,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70271975,"text":"70271975 - 2026 - Supporting dryland restoration success with applied ecological forecasting of seeding outcomes","interactions":[],"lastModifiedDate":"2026-02-09T16:02:05.631907","indexId":"70271975","displayToPublicDate":"2025-09-23T07:48:43","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Supporting dryland restoration success with applied ecological forecasting of seeding outcomes","docAbstract":"<p>Introduction</p><p><span>Ecological restoration is increasingly used to sustain biodiversity and ecosystem services. In drylands of the western United States (US), post-disturbance restoration often involves seeding treatments to promote the recovery of native plant communities. Spatial and temporal variability in environmental conditions influences plant establishment and contributes to low restoration success in certain locations and years.</span></p><p><span>Objectives</span></p><p><span>Here, we discuss how forecasts for plant establishment can be developed and delivered to help land managers anticipate the impacts of near-term (months to years) environmental conditions on restoration.</span></p><p><span>Methods</span></p><p><span>We developed an ecological forecast system that predicts the outcome of restoration seeding by integrating weather forecasts, an ecosystem water balance model, and plant establishment models.</span></p><p><span>Results</span></p><p><span>In this article, we focus on a conceptual approach to developing, delivering, and applying ecological forecasts for restoration. We illustrate the potential of this approach by adapting existing ecological models to build an initial version of a decision support tool that delivers a species-specific ecological forecast for big sagebrush (<i>Artemisia tridentata</i>) establishment. Integrating ecological forecasts into plans for restoration seeding presents opportunities to anticipate and account for environmental variability.</span></p><p><span>Conclusions</span></p><p><span>Finally, we discuss how connecting research, forecast delivery, and management can maximize the impact of ecological forecasts on restoration success.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/rec.70179","usgsCitation":"Siegmund, G., Schlaepfer, D.R., Andrews, C.M., Bennion, L.D., Ferguson, J., Jeffries, M.I., Olwell, P., Pilliod, D.S., Simler-Williamson, A., Stears, A.E., Zweng, R., and Bradford, J.B., 2026, Supporting dryland restoration success with applied ecological forecasting of seeding outcomes: Restoration Ecology, v. 34, no. 2, e70179, 10 p., https://doi.org/10.1111/rec.70179.","productDescription":"e70179, 10 p.","ipdsId":"IP-174924","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":496225,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":496322,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/rec.70179","text":"Publisher Index Page"}],"country":"United States","state":"Idaho, Nevada","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -117.39092636517289,\n              49.006099110584074\n            ],\n            [\n              -116.79333460121052,\n              45.5294294875054\n            ],\n            [\n              -117.1489984377446,\n              44.371156456197866\n            ],\n            [\n              -117.14078454226095,\n              42.039075029951974\n            ],\n            [\n              -120.01502417645318,\n              41.908002820258254\n            ],\n            [\n              -119.89616286979617,\n              38.9235636985031\n            ],\n            [\n              -114.45107751438549,\n              35.102603397362174\n            ],\n            [\n              -113.97781567768317,\n              41.97997252272385\n            ],\n            [\n              -111.1336450017194,\n              41.92179906925959\n            ],\n            [\n              -111.09431773284155,\n              44.535617644613275\n            ],\n            [\n              -112.6908382110276,\n              44.53933840620945\n            ],\n            [\n              -113.70199884566074,\n              45.8892229953416\n            ],\n            [\n              -115.4886171073574,\n              48.89519002524577\n            ],\n            [\n              -117.39092636517289,\n              49.006099110584074\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"34","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-09-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Siegmund, Gregor-Fausto 0000-0002-8967-8816","orcid":"https://orcid.org/0000-0002-8967-8816","contributorId":361834,"corporation":false,"usgs":true,"family":"Siegmund","given":"Gregor-Fausto","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":949553,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schlaepfer, Daniel Rodolphe 0000-0001-9973-2065","orcid":"https://orcid.org/0000-0001-9973-2065","contributorId":225569,"corporation":false,"usgs":true,"family":"Schlaepfer","given":"Daniel","email":"","middleInitial":"Rodolphe","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":949554,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andrews, Caitlin M. 0000-0003-4593-1071 candrews@usgs.gov","orcid":"https://orcid.org/0000-0003-4593-1071","contributorId":192985,"corporation":false,"usgs":true,"family":"Andrews","given":"Caitlin","email":"candrews@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":949555,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bennion, Leland D.","contributorId":361835,"corporation":false,"usgs":false,"family":"Bennion","given":"Leland","middleInitial":"D.","affiliations":[{"id":86370,"text":"[Volunteer] U.S. Geological Survey, Forest and Rangeland Ecosystem Science Center, Boise, ID; Boise State University, Department of Biological Sciences, Boise, ID","active":true,"usgs":false}],"preferred":false,"id":949556,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ferguson, Jacob","contributorId":361836,"corporation":false,"usgs":false,"family":"Ferguson","given":"Jacob","affiliations":[{"id":86371,"text":"Bureau of Land Management, National Emergency Stabilization and Rehabilitation Program, Boise, ID, USA","active":true,"usgs":false}],"preferred":false,"id":949557,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jeffries, Michelle I. 0000-0003-1146-1331","orcid":"https://orcid.org/0000-0003-1146-1331","contributorId":202734,"corporation":false,"usgs":true,"family":"Jeffries","given":"Michelle","middleInitial":"I.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":949558,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Olwell, Peggy","contributorId":213569,"corporation":false,"usgs":false,"family":"Olwell","given":"Peggy","email":"","affiliations":[{"id":38799,"text":"Bureau of Land Management, Washington DC","active":true,"usgs":false}],"preferred":false,"id":949559,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pilliod, David S. 0000-0003-4207-3518","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":210334,"corporation":false,"usgs":true,"family":"Pilliod","given":"David","middleInitial":"S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":949560,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Simler-Williamson, Allison B. 0000-0003-1358-1919","orcid":"https://orcid.org/0000-0003-1358-1919","contributorId":292572,"corporation":false,"usgs":false,"family":"Simler-Williamson","given":"Allison B.","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":949561,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Stears, Alice E.","contributorId":361837,"corporation":false,"usgs":false,"family":"Stears","given":"Alice","middleInitial":"E.","affiliations":[{"id":86372,"text":"[Associate] U.S. Geological Survey, Southwest Biological Science Center, Flagstaff, AZ, USA; Center for Adaptable Western Landscapes, Northern Arizona University, Flagstaff, AZ","active":true,"usgs":false}],"preferred":false,"id":949562,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Zweng, Regina","contributorId":361838,"corporation":false,"usgs":false,"family":"Zweng","given":"Regina","affiliations":[{"id":86373,"text":"Bureau of Land Management, Plant Conservation and Restoration Program, Boise, ID, USA","active":true,"usgs":false}],"preferred":false,"id":949563,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":222784,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":949564,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70274049,"text":"70274049 - 2026 - Population and outmigration characteristics of juvenile Bull Trout in a montane ecosystem","interactions":[],"lastModifiedDate":"2026-02-20T16:03:39.774611","indexId":"70274049","displayToPublicDate":"2025-09-22T09:46:16","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Population and outmigration characteristics of juvenile Bull Trout in a montane ecosystem","docAbstract":"<p><span>Bull Trout&nbsp;</span><i>Salvelinus confluentus</i><span>&nbsp;is a federally threatened species in the conterminous United States. Although some populations are stable or increasing, Bull Trout in the United States Fish and Wildlife Service's designated Coeur d'Alene Core Area in Idaho have experienced substantial declines in abundance. Today, the remaining extant population in the Coeur d'Alene Core Area returns to the headwaters of the St. Joe River to spawn. The population has been monitored annually since 1992 using spawning ground surveys, but little is known about early life stages in the system. The objective of our research was to evaluate the distribution and abundance, age and size structure, habitat associations, and outmigration characteristics of juvenile Bull Trout in the upper St. Joe River basin. In 2022–2023, we sampled 200 stream reaches on the mainstem St. Joe River and four tributaries (Heller, Medicine, Sherlock, and Wisdom creeks). We sampled 1,529 Bull Trout varying in length from 29−257 mm in total length (TL; mean ± SD; 108 ± 44 mm). Population estimates suggested there were 1,841 (95% CI = 1,188−2,494) juvenile Bull Trout in the study area in 2022 and 2,388 (1,646−3,130) in 2023. Regression models indicated that abundance was positively related to canopy cover, amount of large substrate, amount of large woody debris, and amount of gravel, and negatively related to water temperature. We tagged 1,142 fish with passive integrated transponders (PIT) and detected 163 (14%) of these fish using a stationary tag array that was operational during June or July through October. Peak autumn outmigration occurred in October of both sampling years. Of the fish that were detected moving, age varied from 1−4 years, but age-1 and age-2 fish were more commonly detected moving downstream compared to other age classes. This study provides important information on the ecology of juvenile Bull Trout that can be used to guide conservation and recovery efforts in montane ecosystems. Furthermore, juvenile Bull Trout in the upper St. Joe River basin were present at similar densities and experienced growth rates similar to more robust adfluvial populations (e.g., Lake Pend Oreille, Idaho), thereby indicating that factors contributing to the low abundance of adults are not likely occurring in the headwaters of the St. Joe River. Thus, conservation efforts may be more successful if they are focused on the migration corridor and Coeur d'Alene Lake.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.70116","usgsCitation":"Unsworth, J.S., Dux, A.M., Camacho, C., Quist, M., 2026, Population and outmigration characteristics of juvenile Bull Trout in a montane ecosystem: Journal of Wildlife Management, v. 89, no. 8, e70116, 23 p., https://doi.org/10.1002/jwmg.70116.","productDescription":"e70116, 23 p.","ipdsId":"IP-170382","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500345,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Coeur d'Alene Core Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -115.22361225215305,\n              47.08412632487631\n            ],\n            [\n              -115.22361225215305,\n              47.00623690882796\n            ],\n            [\n              -115.09,\n              47.00623690882796\n            ],\n            [\n              -115.09,\n              47.08412632487631\n            ],\n            [\n              -115.22361225215305,\n              47.08412632487631\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"89","issue":"8","noUsgsAuthors":false,"publicationDate":"2025-09-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Unsworth, James S.","contributorId":366864,"corporation":false,"usgs":false,"family":"Unsworth","given":"James","middleInitial":"S.","affiliations":[],"preferred":false,"id":956296,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dux, Andrew M.","contributorId":175256,"corporation":false,"usgs":false,"family":"Dux","given":"Andrew","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":956297,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Camacho, Carlos A.","contributorId":348841,"corporation":false,"usgs":false,"family":"Camacho","given":"Carlos A.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":956298,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Quist, Michael C. 0000-0001-8268-1839","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":272016,"corporation":false,"usgs":true,"family":"Quist","given":"Michael C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":956299,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70271740,"text":"70271740 - 2026 - Effects of dietary selenium on the amphipod Hyalella azteca and the midge Chironomus dilutus","interactions":[],"lastModifiedDate":"2026-01-05T16:44:41.081696","indexId":"70271740","displayToPublicDate":"2025-09-18T07:58:06","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Effects of dietary selenium on the amphipod <i>Hyalella azteca</i> and the midge <i>chironomus dilutus</i>","title":"Effects of dietary selenium on the amphipod Hyalella azteca and the midge Chironomus dilutus","docAbstract":"<p><span>Chronic selenium (Se) water quality criteria are based primarily on dietary organoselenium exposure and subsequent reproductive effects in fish. Available chronic Se toxicity data suggests that invertebrates are less sensitive than fish, but chronic invertebrate studies are limited. We evaluated yeast-based diets for chronic toxicity studies with&nbsp;</span><i>Hyalella azteca</i><span>&nbsp;and&nbsp;</span><i>Chironomus dilutus.</i><span>&nbsp;Growth and survival were similar among&nbsp;</span><i>C. dilutus</i><span>&nbsp;fed a yeast-only diet, a mixture of yeast and fish flake food, and a mixture of yeast and diatoms. Survival and growth of&nbsp;</span><i>H. azteca</i><span>&nbsp;were best in the yeast + diatom diet, so this diet was used for subsequent tests. In rangefinder tests,&nbsp;</span><i>H. azteca</i><span>&nbsp;28-day survival, growth, and biomass, and&nbsp;</span><i>C. dilutus</i><span>&nbsp;11-day survival were all significantly reduced at a dietary Se concentration of 49 µg/g dry weight, whereas&nbsp;</span><i>C. dilutus</i><span>&nbsp;growth and biomass were only affected at 200 µg/g dry weight Se.&nbsp;</span><i>H. azteca</i><span>&nbsp;had similar sensitivity to dietary Se in a 28–42-day chronic test—survival, growth, and biomass were significantly reduced at 44.5 µg/g dry weight Se. Dietary selenium reduced&nbsp;</span><i>H. azteca</i><span>&nbsp;reproduction by 75%–100% relative to Controls, but differences were not significant.</span></p><p><span>Tissue Se EC10s were lower for&nbsp;<i>H. azteca</i>&nbsp;(9.0–23 µg/g dry weight) than for&nbsp;<i>C. dilutus</i>&nbsp;(11–56 µg/g dry weight). However, model evaluations suggest that the&nbsp;<i>C. dilutus</i>&nbsp;11-day survival and&nbsp;<i>H. azteca</i>&nbsp;42-day EC10s were less reliable than other endpoints. When tissue EC10s were converted to equivalent Se concentrations in fish tissue with a food web model,&nbsp;<i>H. azteca</i>&nbsp;(18 µg/g dry weight) and C<i>. dilutus</i>&nbsp;(68 µg/g dry weight) ranked 6th and 12th of 13 freshwater genera, respectively. Overall, these results suggest that the current U.S. Environmental Protection Agency tissue-based Se water quality criteria would be protective for fish and invertebrates and could be used for management of fishless waters.</span></p>","language":"English","publisher":"Society and Environmental Toxicology and Chemistry","doi":"10.1093/etojnl/vgaf231","usgsCitation":"Besser, J.M., Cleveland, D.M., Harper, D.D., Dorman, R.A., and Farag, A., 2026, Effects of dietary selenium on the amphipod Hyalella azteca and the midge Chironomus dilutus: Environmental Toxicology and Chemistry, v. 45, no. 1, p. 103-113, https://doi.org/10.1093/etojnl/vgaf231.","productDescription":"11 p.","startPage":"103","endPage":"113","ipdsId":"IP-167676","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":495901,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-09-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Besser, John M. 0000-0002-9464-2244 jbesser@usgs.gov","orcid":"https://orcid.org/0000-0002-9464-2244","contributorId":2073,"corporation":false,"usgs":true,"family":"Besser","given":"John","email":"jbesser@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":949247,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":949248,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harper, David D. 0000-0001-7061-8461 david_harper@usgs.gov","orcid":"https://orcid.org/0000-0001-7061-8461","contributorId":1140,"corporation":false,"usgs":true,"family":"Harper","given":"David","email":"david_harper@usgs.gov","middleInitial":"D.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":949301,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dorman, Rebecca A. 0000-0002-5748-7046","orcid":"https://orcid.org/0000-0002-5748-7046","contributorId":28522,"corporation":false,"usgs":true,"family":"Dorman","given":"Rebecca","email":"","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":949302,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Farag, Aida 0000-0003-4247-6763 aida_farag@usgs.gov","orcid":"https://orcid.org/0000-0003-4247-6763","contributorId":200690,"corporation":false,"usgs":true,"family":"Farag","given":"Aida","email":"aida_farag@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":949251,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70272602,"text":"70272602 - 2026 - Factors influencing spatial and temporal patterns of Lanius ludovicianus (Loggerhead Shrike) occupancy at a grassland-sagebrush ecotone","interactions":[],"lastModifiedDate":"2026-03-09T14:38:41.474253","indexId":"70272602","displayToPublicDate":"2025-09-11T09:55:06","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":"Factors influencing spatial and temporal patterns of <i>Lanius ludovicianus</i> (Loggerhead Shrike) occupancy at a grassland-sagebrush ecotone","title":"Factors influencing spatial and temporal patterns of Lanius ludovicianus (Loggerhead Shrike) occupancy at a grassland-sagebrush ecotone","docAbstract":"<p><i>Lanius ludovicianus</i><span>&nbsp;(Loggerhead Shrike) is a predatory songbird that has experienced a severe population decline throughout its range since the 1940s, likely driven by a combination of factors, including habitat loss and fragmentation. Occupying larger territories compared to many other passerines,&nbsp;</span><i>L. ludovicianus</i><span>&nbsp;requires open habitat with interspersed trees and shrubs for nesting and perching and heterogeneous ground cover that provides hunting opportunities. Despite the general knowledge of&nbsp;</span><i>L. ludovicianus</i><span>&nbsp;habitat during breeding and nonbreeding seasons in many parts of its range, factors influencing long-term occupancy dynamics remain poorly understood. We addressed these knowledge gaps by analyzing 10 yr of&nbsp;</span><i>L. ludovicianus</i><span>&nbsp;detection data collected from breeding bird point-count surveys at a grassland-sagebrush ecotone in northeastern Wyoming, USA. We quantified&nbsp;</span><i>L. ludovicianus</i><span>&nbsp;detection and occupancy probabilities using a dynamic (multi-season) occupancy modeling framework and evaluated how initial occupancy and dynamic parameters (i.e., colonization and local extinction) were influenced by land-cover composition and change using remotely sensed land-cover data. Additionally, we used observer survey data to assess the influence of survey date and cloud cover on detection probability. We found that detection probability was influenced by survey date, while initial occupancy probability was positively associated with fences and presence of trees. Colonization probability increased with increased litter cover, whereas extinction probability was not influenced by land-cover and remained low throughout our study period. These findings highlight the importance of habitat features, such as fences and tree presence in shaping&nbsp;</span><i>L. ludovicianus</i><span>&nbsp;occupancy patterns. Further research is needed to understand the relationships between&nbsp;</span><i>L. ludovicianus</i><span>&nbsp;occupancy dynamics and demographic processes such as reproduction and survival. Identifying factors that influence occupancy dynamics and associated demographic processes can guide efforts to conserve and sustain&nbsp;</span><i>L. ludovicianus</i><span>&nbsp;populations.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/ornithapp/duaf055","usgsCitation":"Todaro, H.M., Loss, S.R., Lonsinger, R.C., and Duchardt, C.J., 2026, Factors influencing spatial and temporal patterns of Lanius ludovicianus (Loggerhead Shrike) occupancy at a grassland-sagebrush ecotone: Ornithological Applications, v. 128, no. 1, p. 1-13, https://doi.org/10.1093/ornithapp/duaf055.","productDescription":"13 p.","startPage":"1","endPage":"13","ipdsId":"IP-176617","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":496828,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":496931,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ornithapp/duaf055","text":"Publisher Index Page"}],"volume":"128","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-09-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Todaro, Holly M.","contributorId":362971,"corporation":false,"usgs":false,"family":"Todaro","given":"Holly","middleInitial":"M.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":950890,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loss, Scott R.","contributorId":362972,"corporation":false,"usgs":false,"family":"Loss","given":"Scott","middleInitial":"R.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":950891,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lonsinger, Robert Charles 0000-0002-1040-7299","orcid":"https://orcid.org/0000-0002-1040-7299","contributorId":340524,"corporation":false,"usgs":true,"family":"Lonsinger","given":"Robert","email":"","middleInitial":"Charles","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":950892,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Duchardt, Courtney J.","contributorId":362975,"corporation":false,"usgs":false,"family":"Duchardt","given":"Courtney","middleInitial":"J.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":950893,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70271383,"text":"70271383 - 2026 - Revisiting seismological discoveries of the inner core","interactions":[],"lastModifiedDate":"2025-12-16T14:25:25.182912","indexId":"70271383","displayToPublicDate":"2025-09-10T09:54:09","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":"Revisiting seismological discoveries of the inner core","docAbstract":"<div class=\"widget widget-SplitView widget-instance-SplitView_Article\"><div class=\"article js-content-splitview splitview-scroll\"><div class=\"widget widget-ArticleMainView widget-instance-ArticleMainView_Split\"><div class=\"content-inner-wrap\"><div class=\"article-body\"><div id=\"ContentTab\" class=\"content active\"><div class=\"widget widget-ArticleFulltext widget-instance-ArticleFulltext_Split\"><div class=\"module-widget\"><div class=\"widget-items\" data-widgetname=\"ArticleFulltext\"><span data-mce-style=\"font-size: 14px;\">Seismology has been used as a tool for understanding the current physical properties of the interior of the Earth and its dynamic evolution with remarkable success over the last century. Much of this progress is due to the ever‐expanding set of high‐quality quantitative observations of teleseismic waveforms recorded at seismographic stations worldwide. In this work, we revisit historical seismological studies that helped first identify a core distinct in physical properties from the overlying mantle, followed by the detection of an inner core that was eventually verified to be solid based on normal‐mode eigenperiods. Along with a brief overview of past studies of the Earth’s inner core, we examine the reproducibility of these results and discuss how historical data compare against modern observations. After accounting for past normal‐mode misidentifications, we confirm that introducing a solid inner core is required to afford significant improvements in fits to both radial modes and core‐sensitive spheroidal overtones. Strong shear dissipation in the inner core of the radial reference Earth model, REM1D (</span><span class=\"inline-formula no-formula-id\" data-mce-style=\"font-size: 14px;\">⁠⁠<i>Q</i><sub>u</sub> = 89.54</span><span data-mce-style=\"font-size: 14px;\">), fits the reference datasets of both normal‐mode eigenperiods and quality factors accounting for physical dispersion. Because a liquid region would only have bulk dissipation, a narrow range of low</span><span data-mce-style=\"font-size: 14px;\"> <span class=\"inline-formula no-formula-id\"><i>Q</i><sub>u</sub></span></span><span data-mce-style=\"font-size: 14px;\">&nbsp;</span><span data-mce-style=\"font-size: 14px;\">values that are preferred by the reference datasets affords additional evidence of a solid inner core. In addition, we find that there is little systematic bias in the timing accuracy of historical data, although large variances exist. Investigations into the temperature, composition, and evolution of the inner core, as well as the reproducibility of past studies, can benefit from the reconciliation of historical and modern seismological datasets.</span></div></div></div></div></div></div></div></div></div>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220250069","usgsCitation":"Ringler, A.T., Moulik, P., Lee, T.A., Wilson, D.C., and Anthony, R.E., 2026, Revisiting seismological discoveries of the inner core: Seismological Research Letters, v. 97, no. 1, p. 451-470, https://doi.org/10.1785/0220250069.","productDescription":"20 p.","startPage":"451","endPage":"470","ipdsId":"IP-175861","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":495720,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0220250069","text":"Publisher Index Page"},{"id":495317,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"97","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-09-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":3946,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":948331,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moulik, Pritwiraj","contributorId":361177,"corporation":false,"usgs":false,"family":"Moulik","given":"Pritwiraj","affiliations":[{"id":6644,"text":"Princeton University","active":true,"usgs":false}],"preferred":false,"id":948332,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lee, Thomas A.","contributorId":360603,"corporation":false,"usgs":false,"family":"Lee","given":"Thomas","middleInitial":"A.","affiliations":[{"id":6644,"text":"Princeton University","active":true,"usgs":false}],"preferred":false,"id":948333,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, David C. 0000-0003-2582-5159 dwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-5159","contributorId":145580,"corporation":false,"usgs":true,"family":"Wilson","given":"David","email":"dwilson@usgs.gov","middleInitial":"C.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":948334,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anthony, Robert E. 0000-0001-7089-8846 reanthony@usgs.gov","orcid":"https://orcid.org/0000-0001-7089-8846","contributorId":202829,"corporation":false,"usgs":true,"family":"Anthony","given":"Robert","email":"reanthony@usgs.gov","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":948335,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70271722,"text":"70271722 - 2026 - The influence of scale in modeling social vulnerability and disaster assistance","interactions":[],"lastModifiedDate":"2025-12-15T16:36:51.169445","indexId":"70271722","displayToPublicDate":"2025-09-08T09:03:41","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5419,"text":"Annals of the American Association of Geographers","active":true,"publicationSubtype":{"id":10}},"title":"The influence of scale in modeling social vulnerability and disaster assistance","docAbstract":"<p><span>Understanding how social vulnerability relates to disaster impacts is critical for addressing social equity, yet the role of spatial scale in this relationship is often overlooked. Most studies use aggregated data, risking ecological fallacy—misinterpreting individual outcomes from group-level data. This study examines how spatial scale influences the relationship between social vulnerability and federal disaster assistance after Hurricane Harvey. Using spatial econometric models at both household and census tract levels, we assessed the strength of key vulnerability indicators in explaining disaster assistance. Results show that disability, housing tenure, household size, and income predict assistance at the household level, but their influence shifts across scales. Income and disability remain strong predictors at the tract level, whereas housing factors weaken or reverse. These findings suggest that using aggregated data to model household-level relationships between social vulnerability and disaster assistance can distort understanding of vulnerability processes, potentially leading to misinformed disaster policies and inequitable outcomes. Our findings have implications for disaster management, but the primary contribution of this study is methodological, in providing a critical evaluation of how spatial scale and data aggregation shape the statistical interpretation of social vulnerability and aid distribution.</span></p>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/24694452.2025.2549057","usgsCitation":"Razzaghi Asl, S., Drakes, O.O., Tate, E., Brody, S.D., Highfield, W., and Atoba, K., 2026, The influence of scale in modeling social vulnerability and disaster assistance: Annals of the American Association of Geographers, v. 116, no. 1, p. 198-218, https://doi.org/10.1080/24694452.2025.2549057.","productDescription":"21 p.","startPage":"198","endPage":"218","ipdsId":"IP-173238","costCenters":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":495836,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":496143,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/24694452.2025.2549057","text":"Publisher Index Page"}],"country":"United States","state":"Texas","county":"Harris 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Asl, Sina","contributorId":361677,"corporation":false,"usgs":false,"family":"Razzaghi Asl","given":"Sina","affiliations":[{"id":6644,"text":"Princeton University","active":true,"usgs":false}],"preferred":false,"id":949201,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Drakes, Oronde Oliver 0000-0002-1047-1389","orcid":"https://orcid.org/0000-0002-1047-1389","contributorId":328832,"corporation":false,"usgs":true,"family":"Drakes","given":"Oronde","email":"","middleInitial":"Oliver","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":949202,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tate, Eric","contributorId":222831,"corporation":false,"usgs":false,"family":"Tate","given":"Eric","email":"","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":949203,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brody, Samuel D.","contributorId":340013,"corporation":false,"usgs":false,"family":"Brody","given":"Samuel","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":949204,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Highfield, Wesley","contributorId":361679,"corporation":false,"usgs":false,"family":"Highfield","given":"Wesley","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":949205,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Atoba, Kayode","contributorId":361680,"corporation":false,"usgs":false,"family":"Atoba","given":"Kayode","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":949206,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70271326,"text":"70271326 - 2026 - Origin and evolution of mafic volcanism associated with 3 m.y. of andesite production at the Goat Rocks volcanic cluster, southern Washington Cascade Range","interactions":[],"lastModifiedDate":"2026-01-05T16:42:08.542449","indexId":"70271326","displayToPublicDate":"2025-09-04T08:06:46","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Origin and evolution of mafic volcanism associated with 3 m.y. of andesite production at the Goat Rocks volcanic cluster, southern Washington Cascade Range","docAbstract":"<p><span>More than 3 m.y. of mafic volcanism near the Goat Rocks volcanic cluster in the southern Washington Cascade Range, USA, lends insight into the evolution of basalts and the subarc mantle at a long-lived, major arc volcanic locus. We contribute field observations,&nbsp;</span><sup>40</sup><span>Ar/</span><sup>39</sup><span>Ar dates, paleomagnetic directions, and bulk rock and mineral compositions to characterize nine mafic units that erupted in association with the Goat Rocks volcanic cluster. The time frame of mafic volcanism, ca. 3.6 Ma to 60 ka, encompasses the lifespan of the central volcanic cluster (3.1 Ma to 115 ka), with a lull from ca. 2.7 Ma to 1.4 Ma. A climactic period of voluminous mafic activity and far-traveled lava flows, including construction of the Hogback Mountain shield volcano, coincided with voluminous andesite eruptions from the central volcanic cluster.</span></p><p><span>The basaltic rocks in the Goat Rocks area are calc-alkaline to barely tholeiitic and have high field strength element depletion relative to large-ion lithophile elements characteristic of calc-alkaline basalts (CAB) of the Cascade volcanic arc. Unlike at neighboring andesitic volcanic centers (Mounts Adams, St. Helens, and Rainier), no other mafic end members such as high-aluminum olivine tholeiite (HAOT) or intraplate-type basalt (IPB) are present at or near the Goat Rocks volcanic cluster, although some of the calc-alkaline basalts in this study have IPB-like affinities. The Goat Rocks mafic units exhibit two main temporal trends in composition: (1) the most primitive basalts erupted earlier, compared to less primitive and more evolved compositions later, and (2) high field strength element concentrations are higher in the younger basalt units relative to the oldest two. In contrast to these temporal trends, the mafic units define two compositional groups that recur through time, a low-Sr and a high-Sr group, each with distinct trace element and Sr and Nd isotope ratios. Although radiogenic isotope ratios are generally aligned with High Cascades CAB and HAOT, some extend toward IPB of Mount Adams and Simcoe Mountains volcanic field.</span></p><p><span>Olivine-dominated crystal fractionation at shallow pressure from a small range of parent magma compositions accounts for much of the variation among the basalts and basaltic andesites. A high-pressure fractionation model is plausible for only one of the youngest basalt units (basalt of Walupt Lake volcano). Mafic recharge and crustal assimilation accounts for the incompatible-element enriched composition of basaltic andesites erupted during construction of the largest andesitic centers, further supporting sustained basalt mass flux and thermal energy driving andesite genesis.</span></p><p><span>We model the most primitive members of the Goat Rocks mafic units as partial melts of successively less depleted mantle in time. Variable degrees of fluxing with fluids and melts from subduction explain the distinction between high-Sr and low-Sr groups. We propose that mantle metasomatism by ancestral subduction and fluid-flux melting is heterogeneously distributed through the local subarc mantle and played a greater role in the genesis of the high-Sr basalt group.</span></p><p><span>The limited range of primitive basalt types around the Goat Rocks volcanic cluster contrasts with the much greater diversity of basalts throughout the southern Washington to northern Oregon Cascade arc. On the other hand, the central volcanic cluster encompasses nearly the entire diversity observed at neighboring composite volcanoes. In the case of the Goat Rocks area at least, and perhaps attributable to the entire region, this means that the genesis of diverse intermediate magmas is independent from and does not require vastly different parental basalt compositions.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/B38046.1","usgsCitation":"Wall, K., Grunder, A.L., Biasi, J., Weis, D., Swanson, D., and Stelten, M.E., 2026, Origin and evolution of mafic volcanism associated with 3 m.y. of andesite production at the Goat Rocks volcanic cluster, southern Washington Cascade Range: Geological Society of America Bulletin, v. 138, no. 1-2, p. 709-743, https://doi.org/10.1130/B38046.1.","productDescription":"35 p.","startPage":"709","endPage":"743","ipdsId":"IP-171208","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":495199,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"California, Oregon, Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -128.395483482341,\n              50.865572536238915\n            ],\n            [\n              -125.60869035746057,\n              46.041667735587566\n            ],\n            [\n              -124.98377466492585,\n              38.57668752987752\n            ],\n            [\n              -120.96754220889056,\n              38.41486403323435\n            ],\n            [\n              -121.34435422163615,\n              48.16096017318148\n            ],\n            [\n              -123.77679244748882,\n              51.47194946290554\n            ],\n            [\n              -128.395483482341,\n              50.865572536238915\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"138","issue":"1-2","noUsgsAuthors":false,"publicationDate":"2025-09-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Wall, Kellie Taylor 0000-0002-2391-6658","orcid":"https://orcid.org/0000-0002-2391-6658","contributorId":353879,"corporation":false,"usgs":true,"family":"Wall","given":"Kellie Taylor","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":948055,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grunder, Anita L.","contributorId":194549,"corporation":false,"usgs":false,"family":"Grunder","given":"Anita","middleInitial":"L.","affiliations":[],"preferred":false,"id":948056,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Biasi, Joseph","contributorId":189110,"corporation":false,"usgs":false,"family":"Biasi","given":"Joseph","email":"","affiliations":[],"preferred":false,"id":948057,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weis, Dominique","contributorId":236887,"corporation":false,"usgs":false,"family":"Weis","given":"Dominique","affiliations":[],"preferred":false,"id":948058,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Swanson, Don 0000-0002-1680-3591 donswan@usgs.gov","orcid":"https://orcid.org/0000-0002-1680-3591","contributorId":168817,"corporation":false,"usgs":true,"family":"Swanson","given":"Don","email":"donswan@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":948059,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stelten, Mark E. 0000-0002-5294-3161 mstelten@usgs.gov","orcid":"https://orcid.org/0000-0002-5294-3161","contributorId":145923,"corporation":false,"usgs":true,"family":"Stelten","given":"Mark","email":"mstelten@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":948060,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70273037,"text":"70273037 - 2026 - The story of the Penobscot River Ecology Mural: A 10-step process for scientists to create public art","interactions":[],"lastModifiedDate":"2026-03-23T14:09:04.427063","indexId":"70273037","displayToPublicDate":"2025-08-20T09:57:26","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"The story of the Penobscot River Ecology Mural: A 10-step process for scientists to create public art","docAbstract":"<p><span>Rivers are home to a wide variety of biota, including fishes, amphibians, reptiles, birds, freshwater mussels, aquatic insects, and microscopic organisms that fill unique niches to support broader ecosystem functions. While the general public may be aware of recreationally relevant biological life (e.g., fishes and insects to model flyfishing flies from), they may not be aware of more obscure yet important taxa. For example, freshwater mussels (Unionidae) improve water quality and clarity of rivers through filtration (</span><span id=\"jumplink-vuaf076-B14\" class=\"xrefLink\"></span><span>Vaughn, 2018), which is vital to riverine ecosystems. Despite this importance, lack of public knowledge about freshwater mussels is the second biggest challenge to their management (</span><span id=\"jumplink-vuaf076-B1\" class=\"xrefLink\"></span><span>Bouska et al., 2018). How do we best get the public to see value in underappreciated taxa to support their conservation?</span></p><p><span>Public art installations can spread awareness about science effectively because they distill information for broader audiences, are eye-catching, and reach people through an emotional, aesthetic, and personal lens (</span><span id=\"jumplink-vuaf076-B13\" class=\"xrefLink\"></span><span>Thompson et al., 2023). While invertebrates are generally viewed by the public with fear and aversion (</span><span id=\"jumplink-vuaf076-B7\" class=\"xrefLink\"></span><span>Kellert, 1993) this can be ameliorated through interaction and learning, particularly for children (</span><span id=\"jumplink-vuaf076-B8\" class=\"xrefLink\"></span><span>Miller et al., 2025). Through cross-disciplinary collaboration between artists, scientists and the local community, we created the “Penobscot River Ecology Mural,” a scientifically informed artwork featuring underappreciated taxa like mussels and insects. In this article, we will elucidate the story of how we successfully made this piece through 10 steps, which provide a blueprint for future endeavors.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/fshmag/vuaf076","usgsCitation":"Fedarick, J., Murphy, C.A., Record, S., Roy, A.H., Dodd, A., and Smith, S.L., 2026, The story of the Penobscot River Ecology Mural: A 10-step process for scientists to create public art: Fisheries, v. 51, no. 3, p. 127-134, https://doi.org/10.1093/fshmag/vuaf076.","productDescription":"8 p.","startPage":"127","endPage":"134","ipdsId":"IP-179161","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":497488,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","otherGeospatial":"Penobscot River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -70.3050665107863,\n              46.243130266293264\n            ],\n            [\n              -70.3050665107863,\n              44.26117875845529\n            ],\n            [\n              -67.98572861409896,\n              44.26117875845529\n            ],\n            [\n              -67.98572861409896,\n              46.243130266293264\n            ],\n            [\n              -70.3050665107863,\n              46.243130266293264\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"51","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-08-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Fedarick, Jillian","contributorId":363950,"corporation":false,"usgs":false,"family":"Fedarick","given":"Jillian","affiliations":[],"preferred":false,"id":952126,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murphy, Christina Amy 0000-0002-3467-6610","orcid":"https://orcid.org/0000-0002-3467-6610","contributorId":335232,"corporation":false,"usgs":true,"family":"Murphy","given":"Christina","email":"","middleInitial":"Amy","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":952127,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Record, Sydne 0000-0001-7293-2155","orcid":"https://orcid.org/0000-0001-7293-2155","contributorId":353707,"corporation":false,"usgs":false,"family":"Record","given":"Sydne","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":952128,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roy, Allison H. 0000-0002-8080-2729 aroy@usgs.gov","orcid":"https://orcid.org/0000-0002-8080-2729","contributorId":4240,"corporation":false,"usgs":true,"family":"Roy","given":"Allison","email":"aroy@usgs.gov","middleInitial":"H.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":952129,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dodd, Annette","contributorId":363953,"corporation":false,"usgs":false,"family":"Dodd","given":"Annette","affiliations":[],"preferred":false,"id":952130,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Susan L.","contributorId":363954,"corporation":false,"usgs":false,"family":"Smith","given":"Susan","middleInitial":"L.","affiliations":[],"preferred":false,"id":952131,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70272257,"text":"70272257 - 2026 - The American black bear (Ursus americanus) as an apex predator: Investigating the ecological role of the world’s most abundant large carnivore","interactions":[],"lastModifiedDate":"2026-01-05T16:57:10.006933","indexId":"70272257","displayToPublicDate":"2025-08-05T10:23:10","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2651,"text":"Mammal Review","active":true,"publicationSubtype":{"id":10}},"title":"The American black bear (Ursus americanus) as an apex predator: Investigating the ecological role of the world’s most abundant large carnivore","docAbstract":"<h3 id=\"mam70014-sec-0001-title\" class=\"article-section__sub-title section1\">Introduction</h3><p>American black bears (<i>Ursus americanus</i>) have been documented to have top-down effects, both consumptive (through predation) and nonconsumptive (through fear effects). However, their behavioural and dietary adaptability has led to uncertainty about the conditions under which these may occur.</p><h3 id=\"mam70014-sec-0002-title\" class=\"article-section__sub-title section1\">Objectives</h3><p>We aimed to (1) investigate when, where, and how often black bears influence lower trophic levels, and (2) critically assess the experimental design of such studies to determine trends and biases.</p><h3 id=\"mam70014-sec-0003-title\" class=\"article-section__sub-title section1\">Methods</h3><p>We conducted a systematic literature search and used linear mixed-effects models to assess the relationships among prey age class, the presence of other large carnivores, and the percentage of ungulate mortality due to black bears. We also summarised the measured effects of black bears on other carnivores and the results of any experimental studies.</p><h3 id=\"mam70014-sec-0004-title\" class=\"article-section__sub-title section1\">Results</h3><p>We found a strong negative relationship between puma presence and the percentage of ungulate mortality due to black bears, but only in areas with at least one other large carnivore (e.g., wolves). Among 16 studies of black bears' impacts on other carnivores, most documented negative behavioural effects. While only 5% of studies had strong experimental design, bear removal consistently increased juvenile ungulate survival.</p><h3 id=\"mam70014-sec-0005-title\" class=\"article-section__sub-title section1\">Discussion and Synthesis</h3><p>Our findings highlight black bears' strong top-down effects, resembling or exceeding those of other large carnivores. These effects were greatest when no other large carnivores were present, but as highly effective kleptoparasites, black bears can alter the feeding habits of other large carnivores. Thus, we argue that ‘apex’ is a conditional state, not a species-wide status.</p>","language":"English","publisher":"Wiley","doi":"10.1111/mam.70014","usgsCitation":"John M. Nettles, Caroline M. Abramowitz, Wesley W. Boone, Stephen N. Harris, Chloe E. Horton, Meghan P. Keating, Dana L. Nelson, Samantha N. Smith, Katelyn N. Steen, Buchholtz, E.K., and David S. Jachowski, 2026, The American black bear (Ursus americanus) as an apex predator: Investigating the ecological role of the world’s most abundant large carnivore: Mammal Review, v. 56, no. 1, e70014, 13 p., https://doi.org/10.1111/mam.70014.","productDescription":"e70014, 13 p.","ipdsId":"IP-178190","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":496763,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/mam.70014","text":"Publisher Index Page"},{"id":496697,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"56","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-08-05","publicationStatus":"PW","contributors":{"authors":[{"text":"John M. Nettles","contributorId":362535,"corporation":false,"usgs":false,"family":"John M. Nettles","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":950585,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caroline M. Abramowitz","contributorId":362537,"corporation":false,"usgs":false,"family":"Caroline M. Abramowitz","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":950586,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wesley W. Boone","contributorId":362539,"corporation":false,"usgs":false,"family":"Wesley W. Boone","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":950587,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stephen N. Harris","contributorId":362542,"corporation":false,"usgs":false,"family":"Stephen N. Harris","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":950588,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chloe E. Horton","contributorId":362545,"corporation":false,"usgs":false,"family":"Chloe E. Horton","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":950589,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Meghan P. Keating","contributorId":362548,"corporation":false,"usgs":false,"family":"Meghan P. Keating","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":950590,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dana L. Nelson","contributorId":362551,"corporation":false,"usgs":false,"family":"Dana L. Nelson","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":950591,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Samantha N. Smith","contributorId":362554,"corporation":false,"usgs":false,"family":"Samantha N. Smith","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":950592,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Katelyn N. Steen","contributorId":362557,"corporation":false,"usgs":false,"family":"Katelyn N. Steen","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":950593,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Buchholtz, Erin K. 0000-0002-1985-9531","orcid":"https://orcid.org/0000-0002-1985-9531","contributorId":300162,"corporation":false,"usgs":true,"family":"Buchholtz","given":"Erin","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":950594,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"David S. Jachowski","contributorId":362561,"corporation":false,"usgs":false,"family":"David S. Jachowski","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":950595,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70269552,"text":"70269552 - 2026 - Sustaining Namāēw (Lake Sturgeon): Partner-led climate adaptation for Indigenous fisheries in the Laurentian Great Lakes","interactions":[],"lastModifiedDate":"2026-02-24T16:08:14.640285","indexId":"70269552","displayToPublicDate":"2025-07-23T08:52:13","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"Sustaining Namāēw (Lake Sturgeon): Partner-led climate adaptation for Indigenous fisheries in the Laurentian Great Lakes","docAbstract":"<p><span>Namāēw (Menominee; Lake Sturgeon&nbsp;</span><i>Acipenser fulvescens</i><span>) have long supported Indigenous culture and food sovereignty but have declined by over 80% in the Laurentian Great Lakes, exacerbating their sensitivity to climate change. Following interest from Indigenous leaders, we initiated a partnership-driven effort to (1) assess climate effects and (2) develop potential adaptation options for Namāēw using a participatory, transdisciplinary approach that combines multiple ways of knowing. Through a literature review and nine semistructured conversations with officials from Indigenous Nations and organizations in the Great Lakes, we identified central themes including access, culture, and fish persistence. Other concerns included habitat, food web shifts, and water quality. Prominent adaptation themes involved population assessments, stocking, regulations, habitat restoration, interagency coordination, and cultural advocacy. These findings underscore the importance of partnership-driven research to support Indigenous fisheries through knowledge coproduction and equitable adaptation. Our approach provides a model to inform stewardship planning for fisheries that are facing global change.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/fshmag/vuaf068","usgsCitation":"Embke, H., Croll, R., Panci, H., Shultz, A.D., Smith, S., Boygo, N., DeFoe, M., Gauthier, J., Michaud, G., Waasegiizhig Price, M., Reiter, D., Schlender, J., and Zomer, F., 2025, Sustaining Namāēw (Lake Sturgeon): Partner-led climate adaptation for Indigenous fisheries in the Laurentian Great Lakes: Fisheries, https://doi.org/10.1093/fshmag/vuaf068.","productDescription":"13 p.","startPage":"60","endPage":"72","ipdsId":"IP-165491","costCenters":[{"id":65882,"text":"Midwest Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":492903,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Laurentian Great Lakes","geographicExtents":"{\n  \"type\": 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,{"id":70269072,"text":"70269072 - 2026 - Invasive species in the aquarium trade: Survey of attitudes, behaviors, and knowledge among US participants","interactions":[],"lastModifiedDate":"2025-12-01T16:22:23.529729","indexId":"70269072","displayToPublicDate":"2025-07-05T08:49:49","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Invasive species in the aquarium trade: Survey of attitudes, behaviors, and knowledge among US participants","docAbstract":"<p><span>Although the aquarium trade is an important pathway for direct and indirect non-native species introductions into freshwater systems, knowledge and attitudes of participants in the trade regarding alien species issues is largely undocumented. Therefore, we administered a survey to investigate attitudes and behaviors of aquarists and non-aquarists regarding the aquarium trade as a pathway for invasive species introductions. We hypothesized aquarists would be better educated on potential introductions than non-aquarists. Due to their engagement with organisms and replication of natural habitats, we also expected aquarists would exhibit more positive attitudes and behaviors toward the environment than non-aquarists. Most respondents seemingly understood the severity of invasive species problems, regardless of status as an aquarist. Aquarists thought the aquarium trade was less responsible for species introductions than non-aquarists and also felt more aware of laws regarding invasive species. However, over half of aquarists disposed of aquarium water down a drain in their house or directly into a nearby water body, which is a known mode of invasion. This information can inform further efforts to provide educational opportunities for participants in the non-native pet/aquarium trade, with the goal of enhancing protection efforts for native biodiversity.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10750-025-05930-1","collaboration":"Louisiana State University","usgsCitation":"Brown, J., Kelso, W.E., Rodrigo, D., Daniel, W., Brassard, H., and Kaller, M.D., 2026, Invasive species in the aquarium trade: Survey of attitudes, behaviors, and knowledge among US participants: Hydrobiologia, v. 853, p. 281-297, https://doi.org/10.1007/s10750-025-05930-1.","productDescription":"17 p.","startPage":"281","endPage":"297","ipdsId":"IP-180149","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":492501,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10750-025-05930-1","text":"Publisher Index 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,{"id":70268472,"text":"70268472 - 2026 - Simulated soundscapes and transfer learning boost the performance of acoustic classifiers under data scarcity","interactions":[],"lastModifiedDate":"2026-02-09T15:57:58.886664","indexId":"70268472","displayToPublicDate":"2025-06-26T07:51:58","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Simulated soundscapes and transfer learning boost the performance of acoustic classifiers under data scarcity","docAbstract":"<p>1. The biodiversity crisis necessitates spatially extensive methods to monitor multiple taxonomic groups for evidence of change in response to evolving environmental conditions. Programs that combine passive acoustic monitoring and machine learning are increasingly used to meet this need. These methods require large, annotated datasets, which are time-consuming and expensive to produce, creating potential barriers to adoption in data- and funding-poor regions. Recently released pre-trained avian acoustic classification models provide opportunities to reduce the need for manual labelling and accelerate the development of new acoustic classification algorithms through transfer learning. Transfer learning is a strategy for developing algorithms under data scarcity that uses pre-trained models from related tasks to adapt to new tasks.</p><p>2. Our primary objective was to develop a transfer learning strategy using the feature embeddings of a pre-trained avian classification model to train custom acoustic classification models in data-scarce contexts. We used three annotated avian acoustic datasets to test whether transfer learning and soundscape simulation-based data augmentation could substantially reduce the annotated training data necessary to develop performant custom acoustic classifiers. We also conducted a sensitivity analysis for hyperparameter choice and model architecture. We then assessed the generalizability of our strategy to increasingly novel non-avian classification tasks.</p><p>3. With as few as two training examples per class, our soundscape simulation data augmentation approach consistently yielded new classifiers with improved performance relative to the pre-trained classification model and transfer learning classifiers trained with other augmentation approaches. Performance increases were evident for three avian test datasets, including single-class and multi-label contexts. We observed that the relative performance among our data augmentation approaches varied for the avian datasets and nearly converged for one dataset when we included more training examples.</p><p>4. We demonstrate an efficient approach to developing new acoustic classifiers leveraging open-source sound repositories and pre-trained networks to reduce manual labelling. With very few examples, our soundscape simulation approach to data augmentation yielded classifiers with performance equivalent to those trained with many more examples, showing it is possible to reduce manual label-ling while still achieving high-performance classifiers and, in turn, expanding the potential for passive acoustic monitoring to address rising biodiversity monitoring needs.</p>","language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210X.70089","usgsCitation":"Weldy, M.J., Lesmeister, D.B., Denton, T., Duarte, A., Vernasco, B.J., Gasc, A., Rowe, J., Adams, M.J., and Betts, M., 2026, Simulated soundscapes and transfer learning boost the performance of acoustic classifiers under data scarcity: Methods in Ecology and Evolution, v. 17, no. 2, p. 322-338, https://doi.org/10.1111/2041-210X.70089.","productDescription":"17 p.","startPage":"322","endPage":"338","ipdsId":"IP-169596","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":491718,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.70089","text":"Publisher Index Page"},{"id":491528,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-06-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Weldy, Matthew J","contributorId":300545,"corporation":false,"usgs":false,"family":"Weldy","given":"Matthew","email":"","middleInitial":"J","affiliations":[{"id":65191,"text":"Pacific Northwest Research Station, USDA Forest Service, Corvallis, OR 97331, USA; Department of Forest Ecosystems and Society, Oregon State University, Corvallis, OR 97331, USA","active":true,"usgs":false}],"preferred":false,"id":941424,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lesmeister, Damon B. 0000-0003-1102-0122","orcid":"https://orcid.org/0000-0003-1102-0122","contributorId":205006,"corporation":false,"usgs":false,"family":"Lesmeister","given":"Damon","email":"","middleInitial":"B.","affiliations":[{"id":37019,"text":"USDA Forest Service, Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":941425,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Denton, Tom 0000-0003-3866-0031","orcid":"https://orcid.org/0000-0003-3866-0031","contributorId":351479,"corporation":false,"usgs":false,"family":"Denton","given":"Tom","affiliations":[{"id":83995,"text":"Google Deepmind, Google","active":true,"usgs":false}],"preferred":false,"id":941426,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Duarte, Adam","contributorId":337608,"corporation":false,"usgs":false,"family":"Duarte","given":"Adam","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":941427,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vernasco, Ben J.","contributorId":166945,"corporation":false,"usgs":false,"family":"Vernasco","given":"Ben","email":"","middleInitial":"J.","affiliations":[{"id":24577,"text":"University of Minnesota, St. Paul, MN","active":true,"usgs":false}],"preferred":false,"id":941428,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gasc, Amandine 0000-0001-8369-4930","orcid":"https://orcid.org/0000-0001-8369-4930","contributorId":357451,"corporation":false,"usgs":false,"family":"Gasc","given":"Amandine","affiliations":[{"id":85421,"text":"Institut Méditerranéen de Biodiversité et d'Ecologie marine et continentale","active":true,"usgs":false}],"preferred":false,"id":941429,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rowe, Jennifer 0000-0002-5253-2223 jrowe@usgs.gov","orcid":"https://orcid.org/0000-0002-5253-2223","contributorId":172670,"corporation":false,"usgs":true,"family":"Rowe","given":"Jennifer","email":"jrowe@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":941430,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Adams, Michael J. 0000-0001-8844-042X","orcid":"https://orcid.org/0000-0001-8844-042X","contributorId":211916,"corporation":false,"usgs":true,"family":"Adams","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":941431,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Betts, Matthew G.","contributorId":340630,"corporation":false,"usgs":false,"family":"Betts","given":"Matthew G.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":941432,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70274034,"text":"70274034 - 2026 - Forecasting dynamics of a recolonizing wolf population under different management strategies","interactions":[],"lastModifiedDate":"2026-02-24T16:50:24.157035","indexId":"70274034","displayToPublicDate":"2025-05-16T10:08:26","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":774,"text":"Animal Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Forecasting dynamics of a recolonizing wolf population under different management strategies","docAbstract":"<p><span>Species recovery can be influenced by a wide variety of factors, such that predicting the spatiotemporal dynamics of recovering species can be exceedingly difficult. These predictions, however, are valuable for decision makers tasked with managing species and determining their legal status. We applied a spatially explicit projection model to estimate population growth and viability of gray wolves (</span><i>Canis lupus</i><span>) from 2021 to 2070 in the state of Washington, USA, where wolves have been naturally recolonizing since the establishment of the first resident pack in 2008. Using this model, we predicted the effects of 12 scenarios relating to management actions (e.g., lethal removals by the state agency, translocation, recreational harvest) and system uncertainties (e.g., immigration from out of state, disease) on the probability of meeting Washington's wolf recovery goals, the probability of extinction, and other metrics related to population status. Population recovery was defined under Washington's Wolf Conservation and Management Plan as four breeding pairs in each of three recovery regions and three additional breeding pairs anywhere in the state. The baseline and two translocation scenarios indicated a high (&gt; 90%) probability of wolf recovery in Washington by 2070, but scenarios related to harvest mortality (removal of 5% of the population every 6 months), increased lethal removals (removal of 8.53% of the population across the state each year), and cessation of immigration from out of state resulted in probabilities of &lt; 0.20 (0.01, 0.04, and 0.17, respectively) of meeting recovery goals by 2070. Only two scenarios of 12 (increased harvest and lethal removals scenarios) resulted in a geometric mean of population growth ≤ 1, indicating long-term population stability or growth for most scenarios. Our results suggest that wolves will continue to recolonize Washington and that recovery goals are likely to be met so long as harvest and lethal removals are not at unsustainable levels and adjacent populations support immigration into Washington.</span></p>","language":"English","publisher":"Zoological Society of London","doi":"10.1111/acv.70019","usgsCitation":"Petracca, L.S., Converse, S.J., Maletzke, B.T., Gardner, B., 2026, Forecasting dynamics of a recolonizing wolf population under different management strategies: Animal Conservation, v. 29, no. 1, p. 21-33, https://doi.org/10.1111/acv.70019.","productDescription":"13 p.","startPage":"21","endPage":"33","ipdsId":"IP-151024","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500427,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70267446,"text":"70267446 - 2026 - Evaluating episodic sediment deposition zones in freshwater mussel habitats across Missouri, USA","interactions":[],"lastModifiedDate":"2026-02-24T16:06:02.067681","indexId":"70267446","displayToPublicDate":"2025-05-12T08:02:30","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":21642,"text":"Journal of Ecohydaulics","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating episodic sediment deposition zones in freshwater mussel habitats across Missouri, USA","docAbstract":"<p><span>Point-source sedimentation, such as spills from construction-related activities, can introduce substantial sediments into streams in the short term, potentially leading to mussel burial. To estimate downstream areas where freshwater mussels might face threats from sediment burial within the mussel habitats of Missouri streams and rivers, we examined 49 reaches where both field measurements and gaging data are available. We established empirical relationships for three flow classes to represent general flow conditions of all reaches. Using these hydraulic data, we employed a Lagrangian particle tracking model to simulate sediment transport under each condition, employing two sediment size ranges covering very fine sands to small gravels, resulting in 72 simulated scenarios. The model results indicate that sediments with diameters exceeding a critical value, ranging from 0.041 to 1.975 mm for varying velocities (ranging from 0.124 to 2.191 m/s) and depths (ranging from 1 to 12 m), settle in downstream locations. Potential settling sites span from tens to hundreds of meters downstream. The mode, median, and mean of sediment distribution generally fall within the range of 10–200 m based on particle count, while these values typically range from 1 to 100 m based on sediment mass.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/24705357.2025.2462298","usgsCitation":"Sun, Q., Wang, B., Sansom, B.J., Trauth, K., Brown, H., Zhu, W., Kunz, J.L., Barnhart, M., McMurray, S.E., Roberts, A.D., Shulse, C., Knerr, C., Steevens, J.A., and Deng, B., 2025, Evaluating episodic sediment deposition zones in freshwater mussel habitats across Missouri, USA: Journal of Ecohydaulics, 15 p., https://doi.org/10.1080/24705357.2025.2462298.","productDescription":"15 p.","startPage":"56","endPage":"70","ipdsId":"IP-169588","costCenters":[{"id":192,"text":"Columbia Environmental Research 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Missouri","active":true,"usgs":false}],"preferred":false,"id":938217,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kunz, James L. 0000-0002-1027-158X jkunz@usgs.gov","orcid":"https://orcid.org/0000-0002-1027-158X","contributorId":3309,"corporation":false,"usgs":true,"family":"Kunz","given":"James","email":"jkunz@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":938218,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Barnhart, M. Christopher","contributorId":189301,"corporation":false,"usgs":false,"family":"Barnhart","given":"M. Christopher","affiliations":[],"preferred":false,"id":938219,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McMurray, Stephen E.","contributorId":206918,"corporation":false,"usgs":false,"family":"McMurray","given":"Stephen","email":"","middleInitial":"E.","affiliations":[{"id":16971,"text":"Missouri Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":938220,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Roberts, Andrew D","contributorId":335385,"corporation":false,"usgs":false,"family":"Roberts","given":"Andrew","email":"","middleInitial":"D","affiliations":[{"id":68344,"text":"U.S. Fish and Wildlife Service (USFWS)","active":true,"usgs":false}],"preferred":false,"id":938221,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Shulse, Christopher","contributorId":333128,"corporation":false,"usgs":false,"family":"Shulse","given":"Christopher","email":"","affiliations":[],"preferred":false,"id":938222,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Knerr, Caleb","contributorId":340192,"corporation":false,"usgs":false,"family":"Knerr","given":"Caleb","email":"","affiliations":[{"id":81501,"text":"Missouri Department of Transportation","active":true,"usgs":false}],"preferred":false,"id":938223,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Steevens, Jeffery A. 0000-0003-3946-1229","orcid":"https://orcid.org/0000-0003-3946-1229","contributorId":207511,"corporation":false,"usgs":true,"family":"Steevens","given":"Jeffery","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":938224,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Deng, Baolin","contributorId":331094,"corporation":false,"usgs":false,"family":"Deng","given":"Baolin","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":938225,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70273336,"text":"70273336 - 2026 - Submarine canyon sediment transport and accumulation during sea level highstand: Interactive seasonal regimes in the head of Astoria Canyon, WA","interactions":[],"lastModifiedDate":"2026-01-07T14:52:34.98763","indexId":"70273336","displayToPublicDate":"2025-03-27T08:48:58","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Submarine canyon sediment transport and accumulation during sea level highstand: Interactive seasonal regimes in the head of Astoria Canyon, WA","docAbstract":"<p><span>The majority of&nbsp;submarine canyons&nbsp;on Earth today do not directly intersect littoral or&nbsp;</span>fluvial sediment<span>&nbsp;sources, yet these systems are rarely studied. The shelf-incised head of Astoria Canyon receives sediment from the nearby Columbia River and is subject to energetic forcing from shelf and slope processes, making it an ideal site to evaluate the modern activity of canyons in high-stand sea level conditions. This study uses in-situ data from Astoria Canyon to identify the active&nbsp;sediment transport&nbsp;processes and patterns of accumulation in temperate canyon systems that are decoupled from their sediment sources during sea level highstand. Hydrodynamic data from a benthic tripod deployment in the head of Astoria Canyon shows that sediment&nbsp;resuspension&nbsp;and transport during summer is driven by internal tides and plume-associated nonlinear internal waves. Observations of shoreward-directed currents and low shear stresses (&lt;0.14&nbsp;Pa) along with&nbsp;sediment trap&nbsp;data suggest that seasonal loading of the canyon head occurs during summer. Nearby long-term wave data show that winter storm&nbsp;significant wave height&nbsp;often exceeds 10&nbsp;m, driving shear stress capable of resuspending all grain sizes present within the canyon head. Swell events are generally concurrent with&nbsp;downwelling&nbsp;flows, providing a mechanism for episodic downcanyon sediment flux. Century-scale accumulation rates evaluated from&nbsp;sediment cores&nbsp;show slow accumulation in the upper canyon head, but rates progressively increase with depth to at least 300&nbsp;m. The&nbsp;depositional environment&nbsp;in Astoria Canyon continues to respond to fluvial and oceanic forcing over an annual cycle. This study indicates that canyon heads can continue to function as sites of sediment winnowing and&nbsp;bottom boundary layer&nbsp;export even with a detached, shelf-depth canyon head.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2025.107516","usgsCitation":"Lahr, E., Ogston, A., Hill, J.C., Glover, H., and Rosenberger, K.J., 2026, Submarine canyon sediment transport and accumulation during sea level highstand: Interactive seasonal regimes in the head of Astoria Canyon, WA: Marine Geology, v. 484, 107516, https://doi.org/10.1016/j.margeo.2025.107516.","productDescription":"107516","ipdsId":"IP-158785","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":498373,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Astoria Canyon","volume":"484","noUsgsAuthors":false,"publicationDate":"2025-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Lahr, E.","contributorId":364893,"corporation":false,"usgs":false,"family":"Lahr","given":"E.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":953387,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ogston, A.","contributorId":364894,"corporation":false,"usgs":false,"family":"Ogston","given":"A.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":953388,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hill, Jenna C. 0000-0002-7475-357X","orcid":"https://orcid.org/0000-0002-7475-357X","contributorId":21987,"corporation":false,"usgs":true,"family":"Hill","given":"Jenna","email":"","middleInitial":"C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":953389,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Glover, H.","contributorId":364896,"corporation":false,"usgs":false,"family":"Glover","given":"H.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":953390,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rosenberger, Kurt J. 0000-0002-5185-5776 krosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5185-5776","contributorId":140453,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Kurt","email":"krosenberger@usgs.gov","middleInitial":"J.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":953391,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70273393,"text":"70273393 - 2026 - Iguanas rafted more than 8,000 km from North America to Fiji","interactions":[],"lastModifiedDate":"2026-01-12T15:35:09.447753","indexId":"70273393","displayToPublicDate":"2025-03-17T09:31:35","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3164,"text":"Proceedings of the National Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Iguanas rafted more than 8,000 km from North America to Fiji","docAbstract":"<p><span>Founder-event speciation can occur when one or more organisms colonize a distant, unoccupied area via long-distance dispersal, leading to the evolution of a new species lineage. Species radiations established by long-distance, and especially transoceanic, dispersal can cause substantial shifts in regional biodiversity. Here, we investigate the occurrence and timing of the greatest known long-distance oceanic dispersal event in the history of terrestrial vertebrates—the rafting of iguanas from North America to Fiji. Iguanas are large-bodied herbivores that are well-known overwater dispersers, including species that colonized the Caribbean and the Galápagos islands. However, the origin of Fijian iguanas had not been comprehensively tested. We estimated the phylogenetic relationships and evolutionary timescale of the iguanid lizard radiation using genome-wide exons and ultraconserved elements (UCEs). Those data indicate that the closest living relative of extant Fijian iguanas is the North American desert iguana and that the two taxa likely diverged during the late Paleogene near or after the onset of volcanism that produced the Fijian archipelago. Biogeographic models estimate North America as the most probable ancestral range of Fijian iguanas. Our analyses support the hypothesis that iguanas reached Fiji via an extraordinary oceanic dispersal event from western North America, and which spanned a fifth of the earth’s circumference (&gt;8,000 km). Overwater rafting of iguanas from North America to Fiji strengthens the importance of founder-event speciation in the diversification of iguanids and elucidates the scope of long-distance dispersal across terrestrial vertebrates.</span></p>","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.2318622122","usgsCitation":"Scarpetta, S.G., Fisher, R.D., Karin, B.R., Niukula, J.B., Corl, A., Jackman, T.R., and McGuire, J.A., 2026, Iguanas rafted more than 8,000 km from North America to Fiji: Proceedings of the National Academy of Sciences, v. 122, no. 12, e2318622122, 10 p., https://doi.org/10.1073/pnas.2318622122.","productDescription":"e2318622122, 10 p.","ipdsId":"IP-166203","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":498685,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.2318622122","text":"Publisher Index Page"},{"id":498552,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"122","issue":"12","noUsgsAuthors":false,"publicationDate":"2025-03-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Scarpetta, Simon G.","contributorId":364984,"corporation":false,"usgs":false,"family":"Scarpetta","given":"Simon","middleInitial":"G.","affiliations":[{"id":87022,"text":"University of San Francisco; UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":953556,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fisher, Robert D. 0000-0002-2956-3240 rdfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":3913,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rdfisher@usgs.gov","middleInitial":"D.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":953557,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Karin, Benjamin R.","contributorId":364985,"corporation":false,"usgs":false,"family":"Karin","given":"Benjamin","middleInitial":"R.","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":953558,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Niukula, Jone B.","contributorId":364986,"corporation":false,"usgs":false,"family":"Niukula","given":"Jone","middleInitial":"B.","affiliations":[{"id":87025,"text":"NatureFiji-MareqetiViti","active":true,"usgs":false}],"preferred":false,"id":953559,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Corl, Ammon","contributorId":364987,"corporation":false,"usgs":false,"family":"Corl","given":"Ammon","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":953560,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jackman, Todd R.","contributorId":364988,"corporation":false,"usgs":false,"family":"Jackman","given":"Todd","middleInitial":"R.","affiliations":[{"id":12766,"text":"Villanova University","active":true,"usgs":false}],"preferred":false,"id":953561,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McGuire, Jimmy A.","contributorId":364989,"corporation":false,"usgs":false,"family":"McGuire","given":"Jimmy","middleInitial":"A.","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":953562,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70273345,"text":"70273345 - 2025 - Capturing the uncertainty of seismicity observations in earthquake rate estimates: Implications for probabilistic seismic hazard analysis and the USGS National Seismic Hazard Model","interactions":[],"lastModifiedDate":"2026-01-07T17:01:22.811179","indexId":"70273345","displayToPublicDate":"2025-12-31T10:45:28","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Capturing the uncertainty of seismicity observations in earthquake rate estimates: Implications for probabilistic seismic hazard analysis and the USGS National Seismic Hazard Model","docAbstract":"<p><span>The rate of earthquakes in a region is a fundamental input to Probabilistic Seismic Hazard Analysis. We present a Monte Carlo method for computing that rate from seismicity catalogs while including a range of data and analysis uncertainties. This method is applied to regions for which the&nbsp;</span><i>b</i><span>&nbsp;value is assumed to be spatially invariant. Each region is broken down into epochs for which each epoch is estimated to have a uniform magnitude of completeness (</span><span class=\"inline-formula no-formula-id\">⁠⁠<i>M</i><sub>c</sub></span><span>). The distribution of earthquake rates for <i>M</i> ≥ <span class=\"inline-formula no-formula-id\"><i>M</i><sub>c</sub></span></span><span>&nbsp;is determined for each epoch by considering the Poisson likelihood of rates given the number of observed earthquakes with <i>M</i> ≥ <span class=\"inline-formula no-formula-id\"><i>M</i><sub>c</sub></span></span><span class=\"inline-formula no-formula-id\">⁠</span><span>. We use a Monte Carlo process to include the uncertainty in&nbsp;</span><i>b</i><span>,&nbsp;</span><span class=\"inline-formula no-formula-id\">⁠<i>M</i><sub>c</sub></span><span>, and individual event magnitudes. The result for each epoch is the joint distribution of the Poisson rate of earthquakes with magnitudes larger than the minimum value used to calculate hazard (</span><span class=\"inline-formula no-formula-id\">⁠⁠<i>M</i><sub>1</sub></span><span>) and the Gutenberg–Richter&nbsp;</span><i>b</i><span>&nbsp;values, which control the extrapolation to other magnitudes. The rate for each region is either the duration‐weighted average over the epochs or, to better capture temporal variations, we also consider mixture models. The mixture models also provide an avenue to allow temporal variations in&nbsp;</span><i>b</i><span>&nbsp;values. To implement this joint distribution in a logic tree, we use the mean and 95% confidence branches, each of which is parameterized with an <i>M</i> ≥ <span class=\"inline-formula no-formula-id\"><i>M</i><sub>1</sub></span></span><span>&nbsp;rate and&nbsp;</span><i>b</i><span>&nbsp;value. We explore different ways of defining those branches, as well as non‐Gutenberg–Richter branches, and their impact on hazard estimates. The mean hazard, but not the fractiles, is robust with respect to these choices. To illustrate these new methods, we use synthetic data and catalogs from recent U.S. Geological Survey National Seismic Hazard Models for the Central and Eastern United States and for Puerto Rico and the U.S. Virgin Islands.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120240245","usgsCitation":"Michael, A.J., and Llenos, A.L., 2025, Capturing the uncertainty of seismicity observations in earthquake rate estimates: Implications for probabilistic seismic hazard analysis and the USGS National Seismic Hazard Model: Bulletin of the Seismological Society of America, https://doi.org/10.1785/0120240245.","ipdsId":"IP-171147","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":498476,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0120240245","text":"Publisher Index Page"},{"id":498394,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"central and eastern United States, Puerto Rico, U.S. Virgin Islands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -67.78074090569169,\n              18.563253258174967\n            ],\n            [\n              -68.0988965908456,\n              17.877923675754772\n            ],\n            [\n              -65.79027508404809,\n              17.94024820912165\n            ],\n            [\n              -64.91802672378982,\n              17.61876483723642\n            ],\n            [\n              -64.54841087453303,\n              17.674241141684107\n            ],\n            [\n              -64.67276844737347,\n              18.36505205279029\n            ],\n            [\n              -64.85854582812973,\n              18.494803755055287\n            ],\n            [\n              -67.78074090569169,\n              18.563253258174967\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -103,\n              50\n            ],\n            [\n              -103,\n              24\n            ],\n            [\n              -60,\n              24\n            ],\n            [\n              -60,\n              50\n            ],\n            [\n              -103,\n              50\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2025-12-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Michael, Andrew J. 0000-0002-2403-5019 michael@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-5019","contributorId":1280,"corporation":false,"usgs":true,"family":"Michael","given":"Andrew","email":"michael@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":953399,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Llenos, Andrea L. 0000-0002-4088-6737 allenos@usgs.gov","orcid":"https://orcid.org/0000-0002-4088-6737","contributorId":4455,"corporation":false,"usgs":true,"family":"Llenos","given":"Andrea","email":"allenos@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":953400,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70273331,"text":"70273331 - 2025 - Neotectonic origins for the Meadow Bank scarp, Wabash Valley seismic zone USA","interactions":[],"lastModifiedDate":"2026-01-07T16:38:07.821014","indexId":"70273331","displayToPublicDate":"2025-12-31T10:31:23","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10542,"text":"The Seismic Record","active":true,"publicationSubtype":{"id":10}},"title":"Neotectonic origins for the Meadow Bank scarp, Wabash Valley seismic zone USA","docAbstract":"<p><span>The Meadow Bank scarp (MBS) in southeastern Illinois is a linear geomorphic expression, ∼10&nbsp;km long and ∼8&nbsp;m high above a relatively flat landscape. It parallels an underlying northeast‐oriented Late‐Precambrian–Early‐Cambrian structural fabric, called the Wabash Valley fault zone, and is within an area of modern, historic, and paleo seismicity, called the Wabash Valley seismic zone. In addition, the MBS acts as a boundary of the Wabash River floodplain, as well as Pleistocene glacial outwash channels, which show evidence of frequent outburst flood events. To better understand the MBS’s equivocal origin in this complex geologic environment, we acquired a 917‐m‐long seismic‐reflection survey across its axis to assess the subsurface geologic configuration. The resultant image indicates a complex set of faults that antiformally fold and displace the top of Paleozoic bedrock by ∼12&nbsp;m across the survey. Moreover, fault and/or fold deformation extends into the shallowest imaged Quaternary strata at ∼6&nbsp;m below the ground surface. This suggests the MBS origin is related to underlying Quaternary reactivated, positively inverted faults rather than exclusively to glacial outburst flood erosion. These results provide rare paleoearthquake spatial constraints for central U.S. regional seismic hazard consideration.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0320250028","usgsCitation":"Woolery, E.W., Stephenson, W.J., Woller, K., Leeds, A.L., Lindberg, N.S., Odum, J.K., Cearley, C., and Counts, R., 2025, Neotectonic origins for the Meadow Bank scarp, Wabash Valley seismic zone USA: The Seismic Record, v. 5, no. 4, p. 352-362, https://doi.org/10.1785/0320250028.","productDescription":"11 p.","startPage":"352","endPage":"362","ipdsId":"IP-169273","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":498475,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0320250028","text":"Publisher Index Page"},{"id":498387,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois","otherGeospatial":"Wabash Valley seismic zone","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -89,\n              39.5\n            ],\n            [\n              -89,\n              37.5\n            ],\n            [\n              -86.5,\n              37.5\n            ],\n            [\n              -86.5,\n              39.5\n            ],\n            [\n              -89,\n              39.5\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"5","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-12-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Woolery, Edward W 0000-0003-3398-5830","orcid":"https://orcid.org/0000-0003-3398-5830","contributorId":192994,"corporation":false,"usgs":false,"family":"Woolery","given":"Edward","email":"","middleInitial":"W","affiliations":[],"preferred":false,"id":953361,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stephenson, William J. 0000-0001-8699-0786 wstephens@usgs.gov","orcid":"https://orcid.org/0000-0001-8699-0786","contributorId":695,"corporation":false,"usgs":true,"family":"Stephenson","given":"William","email":"wstephens@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":953362,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woller, Kevin","contributorId":364876,"corporation":false,"usgs":false,"family":"Woller","given":"Kevin","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":953363,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leeds, Alena L. 0000-0002-8756-3687 aleeds@usgs.gov","orcid":"https://orcid.org/0000-0002-8756-3687","contributorId":4077,"corporation":false,"usgs":true,"family":"Leeds","given":"Alena","email":"aleeds@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":953364,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lindberg, Noah Silas 0000-0003-2861-3290","orcid":"https://orcid.org/0000-0003-2861-3290","contributorId":334408,"corporation":false,"usgs":true,"family":"Lindberg","given":"Noah","email":"","middleInitial":"Silas","affiliations":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"preferred":true,"id":953365,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Odum, Jackson K.","contributorId":364877,"corporation":false,"usgs":false,"family":"Odum","given":"Jackson","middleInitial":"K.","affiliations":[{"id":7065,"text":"USGS emeritus","active":true,"usgs":false}],"preferred":false,"id":953366,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cearley, Cooper","contributorId":364879,"corporation":false,"usgs":false,"family":"Cearley","given":"Cooper","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":953367,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Counts, Ron 0000-0002-8426-1990","orcid":"https://orcid.org/0000-0002-8426-1990","contributorId":222105,"corporation":false,"usgs":false,"family":"Counts","given":"Ron","affiliations":[{"id":36508,"text":"University of Mississippi","active":true,"usgs":false}],"preferred":false,"id":953368,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70272788,"text":"sir20255101 - 2025 - Evaluating hydrologic data products for scientific and management applications related to potential future streamflow conditions in the Upper Mississippi and Illinois Rivers","interactions":[],"lastModifiedDate":"2026-02-05T20:25:34.834239","indexId":"sir20255101","displayToPublicDate":"2025-12-31T07:02:59","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5101","displayTitle":"Evaluating Hydrologic Data Products for Scientific and Management Applications Related to Potential Future Streamflow Conditions in the Upper Mississippi and Illinois Rivers","title":"Evaluating hydrologic data products for scientific and management applications related to potential future streamflow conditions in the Upper Mississippi and Illinois Rivers","docAbstract":"<p>The hydrology of the Upper Mississippi and Illinois Rivers is a fundamental driver of ecosystem patterns and processes across a large portion of the United States. Quantitative hydrologic data for the main stems of these rivers underlie numerous scientific investigations, statistical models, and decision-making processes for local, State, and Federal agencies involved in the Upper Mississippi River Restoration program. Although historical hydrologic data exist, data representing potential future conditions of the Upper Mississippi and Illinois Rivers lack the resolution necessary to anticipate biotic and abiotic responses to altered hydrology and to determine resilient management actions. A source of future hydrologic scenarios is the readily available LOCA–VIC–mizuRoute hydrologic data products (named for the chain of models the data are produced from—localized constructed analogs, Variable Infiltration Capacity macroscale hydrological model, and the mizuRoute hydrologic routing model—that we shorten further to LVM in this report) that include simulated discharges for historic and future timeframes. The objective of this study is to assess the reliability of the hydrologic data products for their use in Upper Mississippi River Restoration program applications. Key study questions are (1) do the hydrologic data products reproduce characteristics of hydrology necessary to support ecological modeling and restoration decision-making applications within the Upper Mississippi River Restoration program? and (2) are there geographic differences in the reliability of the hydrologic data products?</p><p>Seven characteristics of river hydrology were selected related to flow magnitude, seasonality, and regime for evaluation. The seven characteristics were calculated using observed and historical simulated hydrologic data at 19 U.S. Geological Survey streamgages throughout the basins of the Upper Mississippi and Illinois Rivers; two streamgages are located on the main stem of the Mississippi River and two streamgages are located on the main stem of the Illinois River. Statistical comparisons between observed and historical simulated characteristics indicated that the hydrologic data products did not reliably represent historical hydrologic conditions in the basin or main stem. The hydrologic data products we evaluated could not reliably capture the overall hydrologic regime or flow magnitudes; the latter is evidenced by substantial underestimates of discharge at most streamgages. Seasonal hydrologic characteristics were captured more reliably than flow magnitude, but overall correspondence was low for most streamgages. A weak latitudinal pattern in seasonal characteristics indicated the hydrologic data products poorly represent streamflow timing in snow-affected regions of the basin. Discrepancies in magnitude, seasonality, and regime indicate the potential for multiple sources of error. Because poor correspondence was present across all 19 streamgages, it was not possible to identify specific drivers of poor performance (that is, drainage area or geography). The modeling chain should be evaluated for biases associated with meteorologic forcing data, as well as hydrologic model formulation and calibration.</p><p>We conclude that the hydrologic data products we evaluated appear unsuitable for applications tied to habitat and ecosystem restoration and management in the Upper Mississippi and Illinois Rivers. Plans to develop a future hydrology dataset for the Upper Mississippi River Restoration program would benefit from ongoing work to improve global climate model output downscaling methods, to improve hydrologic models, to make use of innovations in machine-learning approaches for projecting hydrology, and other efforts. The framework developed herein to evaluate hydrometeorological outputs generated using global climate models for a specific water resources application is a transferrable approach that could be applied to other data products and river systems.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255101","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Van Appledorn, M., Sawyer, L., Delaney, J., Mueller, C., Youngblood, L., Harrell, J., Breaker, B., and Frans, C., 2025, Evaluating hydrologic data products for scientific and management applications related to potential future streamflow conditions in the Upper Mississippi and Illinois Rivers: U.S. Geological Survey Scientific Investigations Report 2025–5101, 61 p., https://doi.org/10.3133/sir20255101.","productDescription":"Report: vii, 61 p.; Dataset","numberOfPages":"74","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-168496","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":497212,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5101/images"},{"id":497211,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5101/sir20255101.XML","linkFileType":{"id":8,"text":"xml"}},{"id":497210,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255101/full","linkFileType":{"id":5,"text":"html"}},{"id":499598,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119153.htm","linkFileType":{"id":5,"text":"html"}},{"id":497239,"rank":6,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"- USGS water data for the Nation"},{"id":497207,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5101/coverthb.jpg"},{"id":497208,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5101/sir20255101.pdf","text":"Report","size":"5.91 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025–5051"}],"country":"United States","state":"Illinois, Indiana, Iowa, Minnesota, Missouri, South Dakota, Wisconsin","otherGeospatial":"Upper Mississippi and Illinois Rivers","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -95.22471535622894,\n              47.665636098460055\n            ],\n            [\n              -96.33347677420088,\n              46.199243414391816\n            ],\n            [\n              -98.31270934097893,\n              45.87559838036478\n            ],\n            [\n              -94.41776106593042,\n              40.4616759608773\n            ],\n            [\n              -92.16087186224964,\n              36.96306941324279\n            ],\n            [\n              -88.4774787487018,\n              36.50634300187468\n            ],\n            [\n              -86.96280550173634,\n              41.463056598324656\n            ],\n            [\n              -88.07530637371752,\n              42.73486591964032\n            ],\n            [\n              -88.68694421055064,\n              45.85608340482759\n            ],\n            [\n              -95.22471535622894,\n              47.665636098460055\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director,&nbsp;<a href=\"https://www.usgs.gov/centers/umesc\" data-mce-href=\"https://www.usgs.gov/centers/umesc\">Upper Midwest Environmental Sciences Center</a><br>U.S. Geological Survey<br>2630 Fanta Reed Road<br>La Crosse, Wisconsin 54603</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction<br></li><li>Methods</li><li>Evaluation Results</li><li>Implications</li><li>Next Steps</li><li>Value of the Reliability Assessment Framework</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Graphical Comparisons of Observed and Simulated Distributions of Hydrologic Characteristics</li><li>Appendix 2. Heatmap Figure Library</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2025-12-31","noUsgsAuthors":false,"publicationDate":"2025-12-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Van Appledorn, Molly 0000-0002-8029-0014","orcid":"https://orcid.org/0000-0002-8029-0014","contributorId":205785,"corporation":false,"usgs":true,"family":"Van Appledorn","given":"Molly","email":"","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":951780,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sawyer, Lucie","contributorId":345904,"corporation":false,"usgs":false,"family":"Sawyer","given":"Lucie","email":"","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":951781,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Delaney, John 0000-0003-1038-0265","orcid":"https://orcid.org/0000-0003-1038-0265","contributorId":255630,"corporation":false,"usgs":true,"family":"Delaney","given":"John","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":951782,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mueller, Chanel","contributorId":349133,"corporation":false,"usgs":false,"family":"Mueller","given":"Chanel","affiliations":[{"id":54576,"text":"DoD","active":true,"usgs":false}],"preferred":false,"id":951785,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Youngblood, Leigh","contributorId":363558,"corporation":false,"usgs":false,"family":"Youngblood","given":"Leigh","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":951783,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Harrell, Jane","contributorId":363559,"corporation":false,"usgs":false,"family":"Harrell","given":"Jane","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":951784,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Breaker, Brian 0000-0002-1985-4992","orcid":"https://orcid.org/0000-0002-1985-4992","contributorId":291602,"corporation":false,"usgs":false,"family":"Breaker","given":"Brian","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":951786,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Frans, Chris","contributorId":213713,"corporation":false,"usgs":false,"family":"Frans","given":"Chris","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":951787,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
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