{"pageNumber":"8","pageRowStart":"175","pageSize":"25","recordCount":46593,"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":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":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":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 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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":70273740,"text":"70273740 - 2026 - Performance evaluation of natural and nature-based features for coastal protection and co-benefits","interactions":[],"lastModifiedDate":"2026-01-27T17:12:13.726452","indexId":"70273740","displayToPublicDate":"2025-08-04T11:07:34","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":811,"text":"Annual Review of Marine Science","active":true,"publicationSubtype":{"id":10}},"title":"Performance evaluation of natural and nature-based features for coastal protection and co-benefits","docAbstract":"<p><span>Built infrastructure, such as seawalls and levees, has long been used to reduce shoreline erosion and protect coastal properties from flood impacts. In contrast, natural and nature-based features (NNBF), including marshes, mangroves, oyster reefs, coral reefs, and seagrasses, offer not only coastal protection but also a range of valuable ecosystem services. There is no clear understanding of the capacity of either natural habitats or NNBF integrated with traditional engineered infrastructure to withstand extreme events, nor are there well-defined breakpoints at which these habitats fail to provide coastal protection. Evaluating existing NNBF strategies using a standardized set of metrics can help to assess their effectiveness to better inform design criteria. This review identifies a selection of NNBF projects with long-term monitoring programs and synthesizes the monitoring data to provide a literature-based performance assessment. It also explores the integration of NNBF with existing gray infrastructure to enhance overall effectiveness.</span></p>","language":"English","publisher":"Annual Reviews","doi":"10.1146/annurev-marine-040423-023251","usgsCitation":"Reidenbach, M., Li, M., Rose, K., Tomiczek, T., Morris, J., Palinkas, C.M., Staver, L., Nardin, W., Gray, M., Lee, S., Sutton-Grier, A.E., and Hruska, A., 2026, Performance evaluation of natural and nature-based features for coastal protection and co-benefits: Annual Review of Marine Science, v. 18, p. 245-273, https://doi.org/10.1146/annurev-marine-040423-023251.","productDescription":"29 p.","startPage":"245","endPage":"273","ipdsId":"IP-176067","costCenters":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"links":[{"id":499321,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1146/annurev-marine-040423-023251","text":"Publisher Index Page"},{"id":499101,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","noUsgsAuthors":false,"publicationDate":"2025-08-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Reidenbach, Matthew","contributorId":365633,"corporation":false,"usgs":false,"family":"Reidenbach","given":"Matthew","affiliations":[{"id":25492,"text":"University of Virginia","active":true,"usgs":false}],"preferred":false,"id":954491,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Li, Ming","contributorId":55714,"corporation":false,"usgs":true,"family":"Li","given":"Ming","email":"","affiliations":[],"preferred":false,"id":954492,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rose, Kenneth","contributorId":350225,"corporation":false,"usgs":false,"family":"Rose","given":"Kenneth","affiliations":[{"id":6708,"text":"Virginia Institute of Marine Science","active":true,"usgs":false}],"preferred":false,"id":954493,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tomiczek, Tori","contributorId":365636,"corporation":false,"usgs":false,"family":"Tomiczek","given":"Tori","affiliations":[{"id":87168,"text":"United States Naval Academy","active":true,"usgs":false}],"preferred":false,"id":954494,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morris, James","contributorId":299664,"corporation":false,"usgs":false,"family":"Morris","given":"James","affiliations":[{"id":37804,"text":"University of South Carolina","active":true,"usgs":false}],"preferred":false,"id":954495,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Palinkas, Cindy M","contributorId":258320,"corporation":false,"usgs":false,"family":"Palinkas","given":"Cindy","email":"","middleInitial":"M","affiliations":[{"id":37215,"text":"University of Maryland Center for Environmental Science","active":true,"usgs":false}],"preferred":false,"id":954496,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Staver, Lorie","contributorId":208068,"corporation":false,"usgs":false,"family":"Staver","given":"Lorie","affiliations":[{"id":37705,"text":"University of Maryland Center for Environmental Science, Horn Point Laboratory, Cambridge, Md","active":true,"usgs":false}],"preferred":false,"id":954497,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nardin, William","contributorId":365034,"corporation":false,"usgs":false,"family":"Nardin","given":"William","affiliations":[{"id":35259,"text":"Horn Point Laboratory, University of Maryland","active":true,"usgs":false}],"preferred":false,"id":954498,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gray, Matthew J.","contributorId":338549,"corporation":false,"usgs":false,"family":"Gray","given":"Matthew J.","affiliations":[{"id":81151,"text":"University of Tennessee, Knoxville, Tennessee, USA","active":true,"usgs":false}],"preferred":false,"id":954499,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lee, Serena","contributorId":365637,"corporation":false,"usgs":false,"family":"Lee","given":"Serena","affiliations":[{"id":37658,"text":"California Polytechnic State University","active":true,"usgs":false}],"preferred":false,"id":954500,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sutton-Grier, Ariana Eileen 0000-0002-1242-7728","orcid":"https://orcid.org/0000-0002-1242-7728","contributorId":346295,"corporation":false,"usgs":true,"family":"Sutton-Grier","given":"Ariana","email":"","middleInitial":"Eileen","affiliations":[{"id":24693,"text":"Climate Research and Development","active":true,"usgs":true}],"preferred":true,"id":954501,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hruska, Amy","contributorId":365638,"corporation":false,"usgs":false,"family":"Hruska","given":"Amy","affiliations":[{"id":87171,"text":"Underwood and Associates","active":true,"usgs":false}],"preferred":false,"id":954502,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"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":70268799,"text":"70268799 - 2026 - Complex carbonate ore mineralogy in the Mountain Pass carbonatite rare earth element deposit, USA","interactions":[],"lastModifiedDate":"2026-01-05T16:31:18.882049","indexId":"70268799","displayToPublicDate":"2025-06-24T09:17:39","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":738,"text":"American Mineralogist","active":true,"publicationSubtype":{"id":10}},"title":"Complex carbonate ore mineralogy in the Mountain Pass carbonatite rare earth element deposit, USA","docAbstract":"<p><span>Economic concentrations of rare earth element (REE) minerals are uncommon in the Earth’s crust, with most occurring in carbonatites. Unlike most igneous rocks composed of silicate minerals, carbonatites are dominated by carbonate minerals, some of which can incorporate significant light REEs (LREEs; La, Ce, Pr, Nd). Technological applications of REEs are numerous and they have been identified as some of the most critical mineral commodities to the global economy. The Mountain Pass carbonatite stock in the Mojave Desert of California is the most economically significant REE deposit in the USA and contains a few to tens of percent (by volume) of the carbonate REE ore mineral bastnäsite. Despite the economic significance of the Mountain Pass deposit, studies of its ore mineralogy are limited. Here we present new carbonate ore mineralogy data for a compositionally diverse suite of carbonatitic rocks from the Mountain Pass stock and related dikes. Whole-rock geochemical data are integrated with mineral-scale textural and chemical data obtained by scanning electron microscopy (SEM), electron probe microanalysis (EPMA), and microRaman spectroscopy. Our results document a complex spectrum of REE-bearing carbonate minerals and intermediate mixed-layer structures. Mineral species include bastnäsite [REE(CO</span><sub>3</sub><span>)F], hydroxylbastnäsite [REE(CO</span><sub>3</sub><span>)OH], parisite [Ca(REE)</span><sub>2</sub><span>(CO</span><sub>3</sub><span>)</span><sub>3</sub><span>F</span><sub>2</sub><span>], synchysite [Ca(REE)(CO</span><sub>3</sub><span>)</span><sub>2</sub><span>F], röntgenite [Ca</span><sub>2</sub><span>(Ce,La)</span><sub>3</sub><span>(CO</span><sub>3</sub><span>)</span><sub>5</sub><span>F</span><sub>3</sub><span>], and sahamalite [(Mg,Fe</span><sup>2+</sup><span>)(REE)</span><sub>2</sub><span>(CO</span><sub>3</sub><span>)</span><sub>4</sub><span>]. Carbonate ore mineralogy is heterogeneous within and between samples, including at the intracrystal scale. Complexly zoned crystals exhibit as many as five to six different compositional domains and syntaxial intergrowths, commonly with the more Ca-rich varieties (parisite, synchysite) forming crystal rims that surround relict bastnäsite cores. We attribute the phenocryst variability to changes in the chemistry and temperature of primary carbonatite magmas and evolved/exsolved fluids. Cross-cutting vein textures of calcite, celestine and various REE carbonate minerals, interstitial bastnäsite crystallization, breccia blocks lined by fine-grained bastnäsite, and the presence of hydroxylbastnäsite and partially hydroxylated bastnäsite point to the role of secondary hydrothermal processes in REE mineralization. Fluorcarbonate mineral compositions demonstrate that La and Ce are more structurally abundant in bastnäsite, whereas the more Ca-rich species (parisite, synchysite) contain a greater proportion of REE heavier than Pr (Nd, Sm, Eu, Gd) and Y. Atomic ratios of Pr/(Nd + Pr) are likewise variable, with the highest average value for bastnäsite (0.25) compared to parisite (0.22) and sychysite (0.21). This finding has geometallurgical implications, given that current mining operations are focused on recovery of Nd and Pr for high field strength permanent magnets and the Nd/Pr ratios are a critical factor in ore processing and magnet manufacture.</span></p>","language":"English","publisher":"Mineralogical Society of America","doi":"10.2138/am-2025-9822","usgsCitation":"Watts, K., and Andersen, A.K., 2026, Complex carbonate ore mineralogy in the Mountain Pass carbonatite rare earth element deposit, USA: American Mineralogist, v. 111, no. 1, p. 11-28, https://doi.org/10.2138/am-2025-9822.","productDescription":"18 p.","startPage":"11","endPage":"28","ipdsId":"IP-177044","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":491816,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Mojave Desert","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -116.7207777205175,\n              34.770376743385455\n            ],\n            [\n              -116.7207777205175,\n              33.763579479875446\n            ],\n            [\n              -114.52759201972991,\n              33.763579479875446\n            ],\n            [\n              -114.52759201972991,\n              34.770376743385455\n            ],\n            [\n              -116.7207777205175,\n              34.770376743385455\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"111","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-01-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Watts, Kathryn E. 0000-0002-6110-7499","orcid":"https://orcid.org/0000-0002-6110-7499","contributorId":204344,"corporation":false,"usgs":true,"family":"Watts","given":"Kathryn E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":942029,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andersen, Allen K. 0000-0002-6865-2561","orcid":"https://orcid.org/0000-0002-6865-2561","contributorId":217476,"corporation":false,"usgs":true,"family":"Andersen","given":"Allen","email":"","middleInitial":"K.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":942030,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"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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,{"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":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":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":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}]}}
,{"id":70273988,"text":"70273988 - 2025 - Elevation mediates juvenile steelhead demographic response to stream temperature and flow","interactions":[],"lastModifiedDate":"2026-02-20T22:31:11.593194","indexId":"70273988","displayToPublicDate":"2025-12-23T15:23:50","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Elevation mediates juvenile steelhead demographic response to stream temperature and flow","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Climate change alters streams by modifying flow dynamics, temperature, and biotic communities, changing the habitat where stream dwelling fish have evolved. We used snorkel survey data spanning four decades to investigate how juvenile steelhead (anadromous&nbsp;</span><i>Oncorhynchus mykiss</i><span>) counts and size structure were influenced by stream temperature and flow. Warmer temperatures were associated with lower abundance and larger fish at low elevations and with higher abundance and smaller fish at higher elevations. Low flows were related to increased abundance and smaller fish at low elevations but to decreased abundance at high elevations, suggesting that lower elevation streams, which tend to be larger, provided additional habitat during low flows. High flows were negatively related to abundance and positively related to average size, suggesting emigration of fish in younger age-classes. Overall, steelhead exhibited greater resilience to warm temperatures at high elevations and, conversely, greater resilience to low and high flows at lower elevations. Understanding how streamflow and temperature affect juvenile steelhead abundance and size structure provides insight into how climate change can affect juvenile steelhead production.</span></span></p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2025-0057","usgsCitation":"Vosbigian, R., Ballinger, A., Link, T.E., Copeland, T., Falcy, M.R., 2025, Elevation mediates juvenile steelhead demographic response to stream temperature and flow: Canadian Journal of Fisheries and Aquatic Sciences, v. 82, 16 p., https://doi.org/10.1139/cjfas-2025-0057.","productDescription":"16 p.","ipdsId":"IP-176032","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500829,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/cjfas-2025-0057","text":"Publisher Index Page"},{"id":500381,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Clearwater River basin, Salmon River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -115.88693697098967,\n              46.239806253101705\n            ],\n            [\n              -116.08725001215848,\n              44.58877340680024\n            ],\n            [\n              -113.81504145984678,\n              44.65156356442722\n            ],\n            [\n              -113.88746821077106,\n              45.50351976892712\n            ],\n            [\n              -114.52675806291347,\n              45.59810863893756\n            ],\n            [\n              -114.2253382218617,\n              46.239806253101705\n            ],\n            [\n              -115.88693697098967,\n              46.239806253101705\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"82","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Vosbigian, Ryan A.","contributorId":354342,"corporation":false,"usgs":false,"family":"Vosbigian","given":"Ryan A.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":956005,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ballinger, Alexa","contributorId":366508,"corporation":false,"usgs":false,"family":"Ballinger","given":"Alexa","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":956006,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Link, Timothy E.","contributorId":366509,"corporation":false,"usgs":false,"family":"Link","given":"Timothy","middleInitial":"E.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":956007,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Copeland, Timothy","contributorId":354344,"corporation":false,"usgs":false,"family":"Copeland","given":"Timothy","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":956008,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Falcy, Matthew Richard 0000-0002-3332-2239","orcid":"https://orcid.org/0000-0002-3332-2239","contributorId":288500,"corporation":false,"usgs":true,"family":"Falcy","given":"Matthew","email":"","middleInitial":"Richard","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":956009,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70273445,"text":"70273445 - 2025 - MTAB 113, December 2025","interactions":[],"lastModifiedDate":"2026-01-14T15:40:08.590456","indexId":"70273445","displayToPublicDate":"2025-12-23T09:37:11","publicationYear":"2025","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":13451,"text":"Memo to All Banders (MTAB)","active":true,"publicationSubtype":{"id":30}},"title":"MTAB 113, December 2025","docAbstract":"This Memo to All Banders (MTAB 113) was released in December 2025. Subjects in this this memo are 1. The Chief’s Chirp – End-of-Year Message and BBL’s Year in Numbers; 2. Alerts –Highly Pathogenic Avian Influenza and Screw-worms; 3. News – GameBirds Data Release and Banders Without Borders Updates;  4. A note from the permitting shelves – project description template and double-check contact info reminder; 5. A note from the supply room – band order reminders; 6. Data management – NABBP Database Species Changes Updates and prepare your data reminders; 7. Frequently asked questions – What bird status extra info code should I use? How can I process repeat warnings faster during the data submission process?; 8. Auxiliary marker corner – reminder to get data in; 9. Message to the Flyways – Data submission, band orders, and Winter Flyway Council Meetings; 10. Moments in history – bird band pop quiz; 11. Upcoming events; 12. Recent literature; 13. Request for information; and 13. Appendix: NABBP Database Species Changes Update.","language":"English","publisher":"U.S. Geological Survey","collaboration":"none","usgsCitation":"Harvey, K., and McKay, J.L., 2025, MTAB 113, December 2025: Memo to All Banders (MTAB), 17 p.","productDescription":"17 p.","ipdsId":"IP-184700","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":498613,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":498596,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.usgs.gov/media/files/mtab-113-december-2025"}],"noUsgsAuthors":false,"publicationDate":"2025-12-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Harvey, Kyra 0000-0003-4781-1874","orcid":"https://orcid.org/0000-0003-4781-1874","contributorId":296250,"corporation":false,"usgs":true,"family":"Harvey","given":"Kyra","email":"","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":953732,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKay, Jennifer L. 0000-0002-8893-0231","orcid":"https://orcid.org/0000-0002-8893-0231","contributorId":296562,"corporation":false,"usgs":true,"family":"McKay","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":953796,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70273433,"text":"70273433 - 2025 - Are behavioural ecotoxicity endpoints relevant at the population level? Evidence-based insights for environmental protection","interactions":[],"lastModifiedDate":"2026-01-13T15:42:24.91129","indexId":"70273433","displayToPublicDate":"2025-12-23T08:36:48","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Are behavioural ecotoxicity endpoints relevant at the population level? Evidence-based insights for environmental protection","docAbstract":"A substantial body of evidence exists demonstrating that exposure to environmental contaminants can alter animal behavior. Moreover, methodological and technological advancements, as well as increasing standardization, mean that behavioral ecotoxicity studies are more rigorous and reliable than ever before. Despite this, behavioral data are still seldom used in the risk assessment and regulation of chemicals. This is partly due to a lack of clarity among some stakeholders about whether changes in behavior at the individual level result in population-level outcomes. To address this, we first consider the state of evidence within the field of behavioral ecotoxicology linking individual-level behavioral alterations with population-level consequences. We then assess the evidence from behavioral ecology and other neighboring fields that supports this link. Further, we evaluate whether some behavioral endpoints are more easily tied to population-level changes than others. In this regard, we propose combining insights from two complementary ecological frameworks─the functional trait framework and the limiting traits framework─to evaluate which behaviors should be prioritized in ecotoxicological research and regulatory efforts. We contend that the link between behavioral changes and population-level outcomes is evident, with behavioral endpoints representing a highly valuable yet so far underutilized line of evidence in applied environmental protection.","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.5c07777","usgsCitation":"Bertram, M.G., Ågerstrand, M., Brand, J.A., Brooks, B.W., Dang, Z., Ford, A.T., Hollert, H., LeFauve, M.K., Manera, J.L., Martin, J.M., Michelangeli, M., Moiron, M., Moore, E.R., Puglis, H.J., Sih, A., Steevens, J.A., Thoré, E.S., Wong, B.B., Zink, L., and Bodin, T., 2025, Are behavioural ecotoxicity endpoints relevant at the population level? Evidence-based insights for environmental protection: Environmental Science and Technology, v. 60, no. 1, p. 86-95, https://doi.org/10.1021/acs.est.5c07777.","productDescription":"10 p.","startPage":"86","endPage":"95","ipdsId":"IP-180095","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":498696,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.5c07777","text":"Publisher Index Page"},{"id":498585,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"60","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-12-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Bertram, Michael G.","contributorId":257463,"corporation":false,"usgs":false,"family":"Bertram","given":"Michael","email":"","middleInitial":"G.","affiliations":[{"id":52030,"text":"Swedish University of Agricultural Sciences, Umeå, Sweden","active":true,"usgs":false}],"preferred":false,"id":953665,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ågerstrand, Marlene","contributorId":365074,"corporation":false,"usgs":false,"family":"Ågerstrand","given":"Marlene","affiliations":[{"id":25502,"text":"McMaster University","active":true,"usgs":false}],"preferred":false,"id":953666,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brand, Jack A.","contributorId":346194,"corporation":false,"usgs":false,"family":"Brand","given":"Jack","email":"","middleInitial":"A.","affiliations":[{"id":13431,"text":"Zoological Society of London","active":true,"usgs":false}],"preferred":false,"id":953667,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brooks, Bryan W. 0000-0002-6277-9852","orcid":"https://orcid.org/0000-0002-6277-9852","contributorId":198868,"corporation":false,"usgs":false,"family":"Brooks","given":"Bryan","email":"","middleInitial":"W.","affiliations":[{"id":35352,"text":"Department of Environmental Science, Baylor University, Waco, TX, USA","active":true,"usgs":false}],"preferred":false,"id":953668,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dang, ZhiChao","contributorId":200668,"corporation":false,"usgs":false,"family":"Dang","given":"ZhiChao","email":"","affiliations":[],"preferred":false,"id":953669,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ford, Alex T. 0000-0001-5202-546X","orcid":"https://orcid.org/0000-0001-5202-546X","contributorId":257460,"corporation":false,"usgs":false,"family":"Ford","given":"Alex","email":"","middleInitial":"T.","affiliations":[{"id":52027,"text":"University of Portsmouth, Portsmouth, UK","active":true,"usgs":false}],"preferred":false,"id":953670,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hollert, Henner","contributorId":257467,"corporation":false,"usgs":false,"family":"Hollert","given":"Henner","email":"","affiliations":[{"id":52034,"text":"Goethe University Frankfurt, Germany","active":true,"usgs":false}],"preferred":false,"id":953671,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"LeFauve, Matthew K.","contributorId":365076,"corporation":false,"usgs":false,"family":"LeFauve","given":"Matthew","middleInitial":"K.","affiliations":[{"id":13529,"text":"US Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":953672,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Manera, Jack L.","contributorId":365077,"corporation":false,"usgs":false,"family":"Manera","given":"Jack","middleInitial":"L.","affiliations":[{"id":27278,"text":"Monash University","active":true,"usgs":false}],"preferred":false,"id":953673,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Martin, Jake M.","contributorId":346203,"corporation":false,"usgs":false,"family":"Martin","given":"Jake","email":"","middleInitial":"M.","affiliations":[{"id":12666,"text":"Swedish University of Agricultural Sciences","active":true,"usgs":false}],"preferred":false,"id":953674,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Michelangeli, Marcus","contributorId":346204,"corporation":false,"usgs":false,"family":"Michelangeli","given":"Marcus","email":"","affiliations":[{"id":12666,"text":"Swedish University of Agricultural Sciences","active":true,"usgs":false}],"preferred":false,"id":953675,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Moiron, Maria","contributorId":365080,"corporation":false,"usgs":false,"family":"Moiron","given":"Maria","affiliations":[{"id":87035,"text":"Bielefeld University","active":true,"usgs":false}],"preferred":false,"id":953676,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Moore, Eleanor R.","contributorId":365082,"corporation":false,"usgs":false,"family":"Moore","given":"Eleanor","middleInitial":"R.","affiliations":[{"id":27278,"text":"Monash University","active":true,"usgs":false}],"preferred":false,"id":953677,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Puglis, Holly J. 0000-0002-3090-6597 hpuglis@usgs.gov","orcid":"https://orcid.org/0000-0002-3090-6597","contributorId":4686,"corporation":false,"usgs":true,"family":"Puglis","given":"Holly","email":"hpuglis@usgs.gov","middleInitial":"J.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":953678,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Sih, Andrew","contributorId":177597,"corporation":false,"usgs":false,"family":"Sih","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":953679,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"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":953680,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Thoré, Eli S.J.","contributorId":365084,"corporation":false,"usgs":false,"family":"Thoré","given":"Eli","middleInitial":"S.J.","affiliations":[{"id":12666,"text":"Swedish University of Agricultural Sciences","active":true,"usgs":false}],"preferred":false,"id":953681,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Wong, Bob B.M.","contributorId":365086,"corporation":false,"usgs":false,"family":"Wong","given":"Bob","middleInitial":"B.M.","affiliations":[{"id":64623,"text":"Monash University, Australia","active":true,"usgs":false}],"preferred":false,"id":953682,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Zink, Lauren","contributorId":365087,"corporation":false,"usgs":false,"family":"Zink","given":"Lauren","affiliations":[{"id":36972,"text":"University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":953683,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Bodin, Tomas","contributorId":365088,"corporation":false,"usgs":false,"family":"Bodin","given":"Tomas","affiliations":[{"id":12666,"text":"Swedish University of Agricultural Sciences","active":true,"usgs":false}],"preferred":false,"id":953684,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}}
,{"id":70273213,"text":"sir20255095 - 2025 - Assessment of treated wastewater infiltration in Bright Angel Wash and the potential for contaminants of emerging concern influencing spring water quality along the South Rim of the Grand Canyon in Grand Canyon National Park, Arizona","interactions":[],"lastModifiedDate":"2026-02-04T14:21:30.576365","indexId":"sir20255095","displayToPublicDate":"2025-12-22T10:55:16","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":"2025-5095","displayTitle":"Assessment of Treated Wastewater Infiltration in Bright Angel Wash and the Potential for Contaminants of Emerging Concern Influencing Spring Water Quality Along the South Rim of the Grand Canyon in Grand Canyon National Park, Arizona","title":"Assessment of treated wastewater infiltration in Bright Angel Wash and the potential for contaminants of emerging concern influencing spring water quality along the South Rim of the Grand Canyon in Grand Canyon National Park, Arizona","docAbstract":"<p>In April 2021, a synoptic study conducted by the U.S. Geological Survey (USGS) and National Park Service (NPS) identified wastewater-related contaminants of emerging concern (CECs) in springs along the South Rim of the Grand Canyon. These springs are located north of Bright Angel Wash, an ephemeral channel that receives treated effluent from the South Rim Wastewater Treatment Plant (SRWTP). Although water flows southwest and away from the canyon, there is evidence that treated wastewater is finding a flow path along fractures associated with the Bright Angel Fault back to water sources along the South Rim.</p><p>The CECs identified during the April 2021 sampling included several per- and polyfluoroalkyl substances (PFAS) and pharmaceutical compounds. The PFAS compounds detected only consisted of perfluoroalkyl acids, and these were only detected at Bright Angel Wash (treated wastewater), Monument Spring, and upper Horn Bedrock Spring. The other five sampled springs (the Salt Creek, Horn East Alluvium, Garden, Pumphouse, and Pipe Springs) had no detections of PFAS compounds. The five perfluoroalkyl acids detected at Monument Spring (in descending order of concentration) were perfluorobutanesulfonic acid (PFBS), perfluoropentanoic acid, perfluorooctanoic acid, perfluorohexanoic acid, and perfluorooctanesulfonic acid. Only the short-chained PFBS and perfluorobutanoic acid compounds were detected at the upper Horn Bedrock Spring. All the same perfluoroalkyl acids were found at Bright Angel Wash, except for PFBS.</p><p>Monument Spring was the only spring to have detections of pharmaceuticals. The two pharmaceuticals detected at the highest concentrations at Monument Spring were diphenhydramine (antihistamine) and carbamazepine (anticonvulsant or anti-epileptic drug). The other detected pharmaceuticals included (in descending order of concentration) fluconazole (antifungal), sulfamethoxazole (antibiotic), metformin (diabetes drug), tramadol (opioid analgesic), and venlafaxine (antidepressant and nerve pain medication). The same pharmaceuticals were detected in the wastewater at Bright Angel Wash but in greater concentrations. No CEC concentrations measured at Monument Spring exceeded any drinking water standards or human health benchmarks; however, most of the compounds detected have no regulatory standards. Studies of the ecological effects of these compounds show that some of the compounds detected can have endocrine and physiological effects, but generally, effects were observed at concentrations multiple orders of magnitude greater than what was measured during the April 2021 study.</p><p>Data from 1980 through 2022 retrieved from the Water Quality Portal were combined with data from the one-time synoptic sampling in April 2021 to assess the usefulness of other analytes for identifying a wastewater connection to South Rim springs. Most of the historical water chemistry data showed a statistical difference between samples collected within and east of the Garden Creek watershed and samples collected from locations in watersheds to the west of Garden Creek, including the Horn Creek, Salt Creek, Monument Creek, and Hermit Creek watersheds, which roughly align with the Bright Angel Fault. Most of the historical analytes were inconclusive as potential wastewater tracers, but nitrate, chloride, and gadolinium data possibly support the historical contribution of wastewater to Monument Spring.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255095","collaboration":"Prepared in cooperation with the National Park Service, Grand Canyon National Park","usgsCitation":"Paretti, N.V., Beisner, K.R., and Shepherd, S.J.R., 2025, Assessment of treated wastewater infiltration in Bright Angel Wash and the potential for contaminants of emerging concern influencing spring water quality along the South Rim of the Grand Canyon in Grand Canyon National Park, Arizona (ver. 1.1, 2026): U.S. Geological Survey Scientific Investigations Report 2025–5095, 59 p., https://doi.org/10.3133/sir20255095.","productDescription":"ix, 59 p.","numberOfPages":"59","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-159478","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":499495,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119152.htm","linkFileType":{"id":5,"text":"html"}},{"id":499484,"rank":6,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2025/5095/versionHist.txt","linkFileType":{"id":2,"text":"txt"},"description":"SIR 2025-5095 Version History"},{"id":497774,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5095/sir20255095.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2025-5095 XML"},{"id":497773,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255095/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5095 HTML"},{"id":497772,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5095/sir20255095.pdf","size":"11.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5095 PDF"},{"id":497775,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5095/images/"},{"id":497771,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5095/coverthb2.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Bright Angel Wash, Grand Canyon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -112.25,\n              36.1\n            ],\n            [\n              -112.25,\n              35.94693133579284\n            ],\n            [\n              -112,\n              35.94693133579284\n            ],\n            [\n              -112,\n              36.1\n            ],\n            [\n              -112.25,\n              36.1\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","edition":"Version 1.0: December 29, 2025; Version 1.1: February 3, 2026","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/arizona-water-science-center\" data-mce-href=\"https://www.usgs.gov/centers/arizona-water-science-center\">Arizona Water Science Center</a><br>U.S. Geological Survey<br>520 N. Park Avenue, Suite 221<br>Tucson, AZ 85719</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgements</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Study Results and Water Quality Portal Data Summary</li><li>Discussion</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2025-12-29","revisedDate":"2026-02-03","noUsgsAuthors":false,"publicationDate":"2025-12-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Paretti, Nicholas V. 0000-0003-2178-4820 nparetti@usgs.gov","orcid":"https://orcid.org/0000-0003-2178-4820","contributorId":173412,"corporation":false,"usgs":true,"family":"Paretti","given":"Nicholas","email":"nparetti@usgs.gov","middleInitial":"V.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952724,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beisner, Kimberly R. 0000-0002-2077-6899 kbeisner@usgs.gov","orcid":"https://orcid.org/0000-0002-2077-6899","contributorId":2733,"corporation":false,"usgs":true,"family":"Beisner","given":"Kimberly","email":"kbeisner@usgs.gov","middleInitial":"R.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true},{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952725,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shepherd, Sarah J.R. 0009-0004-1092-8491","orcid":"https://orcid.org/0009-0004-1092-8491","contributorId":364479,"corporation":false,"usgs":true,"family":"Shepherd","given":"Sarah","middleInitial":"J.R.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952726,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70273316,"text":"70273316 - 2025 - Evaluating uncertainties with sample-collection method and source selection in sediment fingerprinting: an example from a Great Lakes tributary","interactions":[],"lastModifiedDate":"2026-01-06T14:55:58.763523","indexId":"70273316","displayToPublicDate":"2025-12-22T08:50:21","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2457,"text":"Journal of Soils and Sediments","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating uncertainties with sample-collection method and source selection in sediment fingerprinting: an example from a Great Lakes tributary","docAbstract":"<h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Purpose</h3><p>Identifying suspended-sediment (SS) sources, seasonal variability, and phosphorus (P) transported with SS is critical information for basin managers, although there may be concerns about comparability between flow-integrated SS samples used for sediment fingerprinting and discrete samples used for concentrations and loads in basins where SS is mostly silt + clay and(or) one land-use predominates. Objectives were to determine if (1) sample-collection method and (2) source consideration influenced apportionment of the largest SS source.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Methods</h3><p>Concurrent-replicate, SS samples were collected during 2022 from the East River, Wisconsin using an automated sampler, commonly used for water-quality sampling, and passive samplers, frequently used for SS fingerprinting. Samples were evaluated for differences in physical and chemical characteristics that may affect source apportionment. Considered sources included three upland land-use (cropland, forest, and roads), two in-channel (streambank and streambed sediment), and one that connects uplands to the stream channel (gullies). Source apportionment used established methods in the SedSAT tool. Source scenarios included land-use + streambank (4src), 4src + gully, 4src + streambed, and 4src + gully + streambed (6src).</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Results</h3><p>There were no statistically significant differences in median grain size, organic carbon, or sediment-bound P as a function of collection method. In-channel sources were the largest proportional SS source, regardless of season, hydrologic condition, collection method, or source scenario. Source verification highlighted which source fingerprints were most accurately defined and implications for SS target apportionment.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Conclusion</h3><p>Varying the source scenarios for sediment fingerprinting indicated that improved management of hydrologic connectivity between upland land use and the stream channel has the potential to mitigate SS loads.</p>","language":"English","publisher":"Springer","doi":"10.1007/s11368-025-04155-y","usgsCitation":"Williamson, T.N., Blount, J.D., Broerman, H., Fitzpatrick, F., Mevis, I., Hoefling, D.J., Pace, S.M., Komiskey, M.J., and Kreiling, R., 2025, Evaluating uncertainties with sample-collection method and source selection in sediment fingerprinting: an example from a Great Lakes tributary: Journal of Soils and Sediments, v. 25, p. 4140-4163, https://doi.org/10.1007/s11368-025-04155-y.","productDescription":"24 p.","startPage":"4140","endPage":"4163","ipdsId":"IP-174726","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":498457,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11368-025-04155-y","text":"Publisher Index Page"},{"id":498344,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"East River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -87.58937270792205,\n              44.63457374193757\n            ],\n            [\n              -88.40515142753031,\n              44.63457374193757\n            ],\n            [\n              -88.40515142753031,\n              44.22837406709485\n            ],\n            [\n              -87.58937270792205,\n              44.22837406709485\n            ],\n            [\n              -87.58937270792205,\n              44.63457374193757\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"25","noUsgsAuthors":false,"publicationDate":"2025-12-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Williamson, Tanja N. 0000-0002-7639-8495 tnwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-7639-8495","contributorId":198329,"corporation":false,"usgs":true,"family":"Williamson","given":"Tanja","email":"tnwillia@usgs.gov","middleInitial":"N.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953304,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blount, James D.","contributorId":364844,"corporation":false,"usgs":false,"family":"Blount","given":"James","middleInitial":"D.","affiliations":[{"id":86990,"text":"formerly USGS, now University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":953305,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Broerman, Heidi Mae 0009-0007-2475-5044","orcid":"https://orcid.org/0009-0007-2475-5044","contributorId":330645,"corporation":false,"usgs":true,"family":"Broerman","given":"Heidi Mae","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953306,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fitzpatrick, Faith 0000-0002-9748-7075","orcid":"https://orcid.org/0000-0002-9748-7075","contributorId":209191,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Faith","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953307,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mevis, Isaac James 0009-0000-9623-6410","orcid":"https://orcid.org/0009-0000-9623-6410","contributorId":346122,"corporation":false,"usgs":true,"family":"Mevis","given":"Isaac James","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953308,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hoefling, Dayle J.","contributorId":364845,"corporation":false,"usgs":false,"family":"Hoefling","given":"Dayle","middleInitial":"J.","affiliations":[{"id":86993,"text":"formerly USGS, no new contact information","active":true,"usgs":false}],"preferred":false,"id":953309,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pace, Shannon Murphy 0009-0005-1822-6643","orcid":"https://orcid.org/0009-0005-1822-6643","contributorId":364846,"corporation":false,"usgs":true,"family":"Pace","given":"Shannon","middleInitial":"Murphy","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953310,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Komiskey, Matthew J. 0000-0003-2962-6974 mjkomisk@usgs.gov","orcid":"https://orcid.org/0000-0003-2962-6974","contributorId":1776,"corporation":false,"usgs":true,"family":"Komiskey","given":"Matthew","email":"mjkomisk@usgs.gov","middleInitial":"J.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953311,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kreiling, Rebecca 0000-0002-9295-4156 rkreiling@usgs.gov","orcid":"https://orcid.org/0000-0002-9295-4156","contributorId":147679,"corporation":false,"usgs":true,"family":"Kreiling","given":"Rebecca","email":"rkreiling@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":953312,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70273388,"text":"70273388 - 2025 - Big River bluegill: Combining vital rates and long-term monitoring to understand population dynamics in large rivers","interactions":[],"lastModifiedDate":"2026-01-12T15:13:17.191273","indexId":"70273388","displayToPublicDate":"2025-12-22T08:01:58","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Big River bluegill: Combining vital rates and long-term monitoring to understand population dynamics in large rivers","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Long-term monitoring indicates bluegill catch rates are relatively stable in some reaches of the Upper Mississippi River and highly variable in others, whereas in the Illinois River, catch rates have decreased. A lack of age structure information precludes understanding population processes responsible for patterns in catch rates. To build a better understanding of why catch rates have changed over time, we integrated short-term age structure information with long-term monitoring data to quantify and assess spatial patterns in bluegill population dynamics across six study reaches of these two rivers. Specifically, we estimated and compared age and size structure, growth, maturity, mortality, and recruitment. We used quantile regressions to apply age estimates to long-term data for investigating trends in age-based catch rates reflective of recruitment (age-1 catch rates), mortality (using age-1 and age-2+ catch rates), and spawning stock (age-2+). Our findings indicate trends in bluegill age-2+ catch rates increased and then stabilized across upstream study reaches, but dynamic rates, size structure, and age at maturity varied among reaches. Bluegill populations in downstream study reaches had low maximum size, early maturation, low mean age, low proportional stock density, declining recruitment, and declining age-2+ catch rates. An insufficient number of bluegills were collected from the study reach furthest downstream to adequately quantify dynamic rates. Our results support life history theory in that bluegill respond to unstable environmental conditions through life history adaptations. These findings show how integrating periodic age structure information with long-term monitoring can enhance population assessments.</span></span></p>","language":"English","publisher":"Wiley","doi":"10.1002/rra.70108","usgsCitation":"Bouska, K.L., Solomon, L.E., Bartels, A.D., Bowler, M., DeLain, S., Gittinger, E.J., Kueter, T., Maxson, K.A., Ratcliff, E., West, J.L., Lamer, J.T., Kim, H.H., and Phelps, Q.E., 2025, Big River bluegill: Combining vital rates and long-term monitoring to understand population dynamics in large rivers: River Research and Applications, 17 p., https://doi.org/10.1002/rra.70108.","productDescription":"17 p.","ipdsId":"IP-175311","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":499253,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.70108","text":"Publisher Index Page"},{"id":498546,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Iowa, Minnesota, Missouri, Wisconsin","otherGeospatial":"Middle Mississippi River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -94.06717146140289,\n              45.86447206354717\n            ],\n            [\n              -92.52191784406254,\n              41.69882187175006\n            ],\n            [\n              -90.28756944844972,\n              36.728832427449134\n            ],\n            [\n              -88.21309347811803,\n              37.288018848156554\n            ],\n            [\n              -90.85588856742109,\n              46.01773041949036\n            ],\n            [\n              -94.06717146140289,\n              45.86447206354717\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2025-12-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Bouska, Kristen L. 0000-0002-4115-2313 kbouska@usgs.gov","orcid":"https://orcid.org/0000-0002-4115-2313","contributorId":178005,"corporation":false,"usgs":true,"family":"Bouska","given":"Kristen","email":"kbouska@usgs.gov","middleInitial":"L.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":953534,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Solomon, Levi E.","contributorId":194776,"corporation":false,"usgs":false,"family":"Solomon","given":"Levi","middleInitial":"E.","affiliations":[],"preferred":false,"id":953535,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bartels, Andrew D.","contributorId":292494,"corporation":false,"usgs":false,"family":"Bartels","given":"Andrew","middleInitial":"D.","affiliations":[],"preferred":false,"id":953536,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bowler, Melvin C.","contributorId":340212,"corporation":false,"usgs":false,"family":"Bowler","given":"Melvin C.","affiliations":[{"id":81506,"text":"Iowa Department of Natural Resources (IA DNR)","active":true,"usgs":false}],"preferred":false,"id":953537,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeLain, Steven A.","contributorId":340211,"corporation":false,"usgs":false,"family":"DeLain","given":"Steven A.","affiliations":[{"id":80175,"text":"Minnesota Department of Natural Resources (MN DNR)","active":true,"usgs":false}],"preferred":false,"id":953538,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gittinger, Eric J.","contributorId":340213,"corporation":false,"usgs":false,"family":"Gittinger","given":"Eric","email":"","middleInitial":"J.","affiliations":[{"id":80890,"text":"Illinois Natural History Survey (INHS)","active":true,"usgs":false}],"preferred":false,"id":953539,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kueter, Travis","contributorId":364978,"corporation":false,"usgs":false,"family":"Kueter","given":"Travis","affiliations":[{"id":24495,"text":"Iowa Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":953540,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Maxson, Kristopher A.","contributorId":336868,"corporation":false,"usgs":false,"family":"Maxson","given":"Kristopher","middleInitial":"A.","affiliations":[{"id":80890,"text":"Illinois Natural History Survey (INHS)","active":true,"usgs":false}],"preferred":false,"id":953541,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ratcliff, Eric N.","contributorId":340214,"corporation":false,"usgs":false,"family":"Ratcliff","given":"Eric N.","affiliations":[{"id":81507,"text":"Illinois Department of Natural Resources (IL DNR)","active":true,"usgs":false}],"preferred":false,"id":953542,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"West, John L.","contributorId":340215,"corporation":false,"usgs":false,"family":"West","given":"John","email":"","middleInitial":"L.","affiliations":[{"id":13503,"text":"Illinois Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":953543,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lamer, James T. 0000-0003-1155-1548","orcid":"https://orcid.org/0000-0003-1155-1548","contributorId":196307,"corporation":false,"usgs":false,"family":"Lamer","given":"James","email":"","middleInitial":"T.","affiliations":[{"id":48847,"text":"Illinois River Biological Station, Illinois Natural History 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,{"id":70274134,"text":"70274134 - 2025 - Speciation genomics in the tiger whiptail lizards (<i>Aspidoscelis tigris</i> complex)","interactions":[],"lastModifiedDate":"2026-02-27T15:07:48.339382","indexId":"70274134","displayToPublicDate":"2025-12-22T07:58:56","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3832,"text":"Genome Biology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Speciation genomics in the tiger whiptail lizards (<i>Aspidoscelis tigris</i> complex)","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>The transition from small genetic to genome-scale datasets for studying biodiversity has revealed that genetic exchange through introgressive hybridization is a widespread phenomenon in nature. Despite this, a lack of high-quality reference genomes for most non-model species limits our understanding of the impact of this process for many taxonomic groups. This restricts the range of insights that genomic tools can provide for conservation biologists, who often hope to employ genomic datasets to accurately identify historically isolated lineages to protect and to predict their evolutionary fate in the face of environmental change. Tiger whiptail lizards (</span><i>Aspidoscelis tigris</i><span>&nbsp;complex) are an abundant and important ecological component of ecosystems across the southwestern United States. In this study, we assembled and annotated a chromosome-level reference genome for&nbsp;</span><i>A. t. stejnegeri</i><span>&nbsp;from coastal California. We then used this reference genome to reconstruct patterns of speciation and admixture within the larger species complex, finding evidence that gene flow is widespread both geographically and across the genome.</span></span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/gbe/evaf218","usgsCitation":"Barley, A.J., Ho, D.V., Baumann, P., Wang, I.J., Shaffer, H.B., Fisher, R.N., Gray, L.N., Krabbenhoft, T.J., Espinoza, R.E., Escalona, M., Toffelmier, E., Sahasrabudhe, R., Nguyen, O., Fairbairn, C.W., Beraut, E., and Thomson, R.C., 2025, Speciation genomics in the tiger whiptail lizards (<i>Aspidoscelis tigris</i> complex): Genome Biology and Evolution, v. 17, no. 12, evaf218, 16 p., https://doi.org/10.1093/gbe/evaf218.","productDescription":"evaf218, 16 p.","ipdsId":"IP-183134","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":500813,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/gbe/evaf218","text":"Publisher Index Page"},{"id":500644,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","otherGeospatial":"northern Mexico, southwestern United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -120.05581525403653,\n              36.44729610220706\n            ],\n            [\n              -115.27181672437194,\n              25.785835832512632\n            ],\n            [\n              -109.72280699879704,\n              21.796836323044985\n            ],\n            [\n              -108.96560695285623,\n              23.724794649866627\n            ],\n            [\n              -114.25142099794529,\n              31.97711728051575\n            ],\n            [\n              -103.32771422082385,\n              27.61466119652667\n            ],\n            [\n              -103.94091558336086,\n              33.57411141595831\n            ],\n            [\n              -106.56599346429063,\n              32.77491303525552\n            ],\n            [\n              -110.97336088502527,\n              34.5435699274435\n            ],\n            [\n              -107.7674711688275,\n              35.90320292682061\n            ],\n            [\n              -107.47500054368626,\n              37.098742679266984\n            ],\n            [\n              -110.98660092132822,\n              37.01361174430673\n            ],\n            [\n              -120.05581525403653,\n              36.44729610220706\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"17","issue":"12","noUsgsAuthors":false,"publicationDate":"2025-12-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Barley, Anthony J.","contributorId":367047,"corporation":false,"usgs":false,"family":"Barley","given":"Anthony","middleInitial":"J.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":956630,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ho, David V.","contributorId":367048,"corporation":false,"usgs":false,"family":"Ho","given":"David","middleInitial":"V.","affiliations":[{"id":64804,"text":"Johannes Gutenberg University","active":true,"usgs":false}],"preferred":false,"id":956631,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baumann, Peter","contributorId":190963,"corporation":false,"usgs":false,"family":"Baumann","given":"Peter","email":"","affiliations":[],"preferred":false,"id":956632,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wang, Ian J.","contributorId":367049,"corporation":false,"usgs":false,"family":"Wang","given":"Ian","middleInitial":"J.","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":956633,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shaffer, H. Bradley","contributorId":367050,"corporation":false,"usgs":false,"family":"Shaffer","given":"H.","middleInitial":"Bradley","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":956634,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":956682,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gray, Levi N.","contributorId":367052,"corporation":false,"usgs":false,"family":"Gray","given":"Levi","middleInitial":"N.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":956636,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Krabbenhoft, Trevor J.","contributorId":367053,"corporation":false,"usgs":false,"family":"Krabbenhoft","given":"Trevor","middleInitial":"J.","affiliations":[{"id":40126,"text":"University of Buffalo","active":true,"usgs":false}],"preferred":false,"id":956637,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Espinoza, Robert E.","contributorId":367054,"corporation":false,"usgs":false,"family":"Espinoza","given":"Robert","middleInitial":"E.","affiliations":[{"id":36305,"text":"CSU Northridge","active":true,"usgs":false}],"preferred":false,"id":956638,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Escalona, Merly","contributorId":299346,"corporation":false,"usgs":false,"family":"Escalona","given":"Merly","email":"","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":956639,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Toffelmier, Erin","contributorId":299356,"corporation":false,"usgs":false,"family":"Toffelmier","given":"Erin","email":"","affiliations":[{"id":12763,"text":"University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":956640,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Sahasrabudhe, Ruta","contributorId":367055,"corporation":false,"usgs":false,"family":"Sahasrabudhe","given":"Ruta","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":956641,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Nguyen, Oanh","contributorId":299348,"corporation":false,"usgs":false,"family":"Nguyen","given":"Oanh","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":956642,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Fairbairn, Colin W.","contributorId":367056,"corporation":false,"usgs":false,"family":"Fairbairn","given":"Colin","middleInitial":"W.","affiliations":[{"id":6948,"text":"UC Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":956643,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Beraut, Eric","contributorId":299352,"corporation":false,"usgs":false,"family":"Beraut","given":"Eric","email":"","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":956644,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Thomson, Robert C.","contributorId":367058,"corporation":false,"usgs":false,"family":"Thomson","given":"Robert","middleInitial":"C.","affiliations":[{"id":87531,"text":"University of Hawaiʻi","active":true,"usgs":false}],"preferred":false,"id":956645,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70273104,"text":"sir20255073 - 2025 - Hydrogeologic characterization of the Cahuilla Valley and Terwilliger Valley Groundwater Basins, Riverside County, California","interactions":[],"lastModifiedDate":"2026-02-03T17:01:22.100586","indexId":"sir20255073","displayToPublicDate":"2025-12-19T15:32:50","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":"2025-5073","displayTitle":"Hydrogeologic Characterization of the Cahuilla Valley and Terwilliger Valley Groundwater Basins, Riverside County, California","title":"Hydrogeologic characterization of the Cahuilla Valley and Terwilliger Valley Groundwater Basins, Riverside County, California","docAbstract":"<p>The relation between the groundwater and the amount of natural recharge to the Cahuilla Valley and Terwilliger Valley groundwater basins is not well understood. During the 20th century, the reliance on groundwater near Anza, California, used for agricultural, domestic, and municipal reasons has increased, and there is the potential for changes in groundwater availability related to climate change. Several types of existing data were evaluated, and new data were collected for this study, with the goal of characterizing the region’s hydrogeology. The study’s scope included constructing a geologic framework model to show where the groundwater-bearing units are present and their relation to each other, estimating the major components of the groundwater budget, and understanding local short-term and regional long-term groundwater flow and how that has changed since the early 1900s.</p><p>Two electrical resistivity tomography surveys were done in the Durasno Valley about 2,150 feet apart to identify the thickness of the alluvium, its horizontal extent, and the depth-to-basement along two profiles perpendicular to Cahuilla Creek. The subsurface sediments were mostly horizontally layered and the transitional boundary between the alluvium and basement was thinner and shallower along the upgradient profile where the depth-to-basement was about 70 feet below land surface; the depth-to-basement at the downgradient profile was more than about 140 feet below land surface. The results from the surveys were used to place four monitoring wells at two sites along the survey profiles. Artesian flow from the deepest well at the downgradient site indicated that the decomposed and competent basement likely contributed some groundwater to the overlying alluvium, laterally, from below, or both.</p><p>A digital three-dimensional geologic framework model was constructed using EarthVision software to represent the subsurface geometry of the alluvium, decomposed basement, and competent basement. Maps and cross sections of the modeled thicknesses of the alluvium and decomposed basement, and the modeled elevation of the top of the competent basement, were made to show the subsurface geometry of vertical faults, selected wells, and the groundwater-bearing units.</p><p>Because natural recharge is related to the variable cycles of precipitation, estimates are difficult to quantify. Recharge and runoff have extreme interannual variability in the study area; recharge and runoff can be sporadic, and a substantive amount may not occur in some years. Estimates of recharge from a previous study and the regional-scale Basin Characterization Model for California for four different periods ranged from 3,800 acre-feet/year for 1897–1947 to 5,900 acre-feet/year for 1971–2000. Potential recharge from the disposal of domestic septic systems may have been as much as 500 acre-feet in 2020. It was estimated that between about 400 and 2,400 acre-feet/year of groundwater is lost through evapotranspiration by vegetation and evaporation from open water bodies, but the main source of discharge is through pumpage, mainly used for agriculture from the alluvium in the Cahuilla Valley and Terwilliger Valley groundwater basins. The estimated total pumpage for 1991–2021 ranged from about 1,140 acre-feet in 2019 to about 3,450 acre-feet in 1994. When summed, the cumulative amount of estimated pumpage between 1991 and 2021 was about 81,400 acre-feet.</p><p>The general direction of groundwater flow is from the northeast along the San Jacinto fault zone at the headwaters of Cahuilla and Hamilton Creeks, to the surface-water outlets at the west and southeast parts of the study area. Groundwater-level data from the 1950s and earlier indicate that there was a natural groundwater divide between the Cahuilla Valley and Terwilliger Valley groundwater basins, but the changing magnitude and extent of the groundwater depressions caused by pumping since about 1950 indicate that the location of the natural groundwater boundary between the Cahuilla Valley and Terwilliger Valley groundwater basins has migrated over time.</p><p>Flow from the upper to the lower parts of the Cahuilla Valley groundwater basin roughly follows the course of Cahuilla Creek through the narrow Durasno Valley where an estimated volume of flow in April 2019 was about 10–150 acre-feet/year. Short-term trends in groundwater levels, particularly in wells where groundwater is shallow and in the basement unit, show how some areas respond quickly to recharge and discharge. Wells located further to the east within the Cahuilla Valley groundwater basin in the alluvium show much less of a response to recharge events; areas of sustained pumpage from the alluvium, primarily for agriculture, show long-term declines in groundwater levels and generally do not show the effects of storm events or recent runoff. Groundwater levels in wells that are farthest from where most of the recharge occurs and where pumping has been the greatest, had some of the largest long-term groundwater-level declines at a rate of about 0.8 foot/year between 1971 and 2021.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255073","collaboration":"Prepared in cooperation with the Ramona Band of Cahuilla","usgsCitation":"Stamos, C.L., Christensen, A.H., Cromwell, G., Dick, M.C., Ely, C.P., Jachens, E.R., Ogle, S.E., and Shepherd, M.M., 2025, Hydrogeologic characterization of the Cahuilla Valley and Terwilliger Valley Groundwater Basins,\nRiverside County, California: U.S. Geological Survey Scientific Investigations Report 2025–5073, 65 p., https://doi.org/10.3133/sir20255073.","productDescription":"Report: ix, 65 p., 3 Data Releases","onlineOnly":"Y","ipdsId":"IP-116466","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":497529,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93KA4IG","text":"USGS data release","description":"USGS data release","linkHelpText":"Select borehole data for Anza Valley, Anza, CA"},{"id":497531,"rank":7,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5073/images"},{"id":497875,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119059.htm","linkFileType":{"id":5,"text":"html"}},{"id":497532,"rank":8,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5073/sir20255073.XML"},{"id":497530,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9DJLSOV","text":"USGS data release","description":"USGS data release","linkHelpText":"Hydrogeologic data from the Cahuilla Valley and Terwilliger Valley groundwater basins, Riverside County, California, 2022 (ver. 2.0, August 2025)"},{"id":497528,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LCEHD7","text":"USGS data release","description":"USGS data release","linkHelpText":"Electrical resistivity tomography in the Anza-Terwilliger Valley, Riverside County, California 2018"},{"id":497527,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255073/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5073"},{"id":497526,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5073/sir20255073.pdf","text":"Report","size":"15.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5073"},{"id":497525,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5073/coverthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Cahuilla Valley and Terwilliger Valley groundwater basins","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -117.5,\n              33.8\n            ],\n            [\n              -117.5,\n              33\n            ],\n            [\n              -115.8,\n              33\n            ],\n            [\n              -115.8,\n              33.8\n            ],\n            [\n              -117.5,\n              33.8\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_ca@usgs.gov\" data-mce-href=\"mailto:dc_ca@usgs.gov\">Director</a>, <a href=\"https://www .usgs.gov/centers/california-water-science-center\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www .usgs.gov/centers/california-water-science-center\">California Water Science Center</a><br>U.S. Geological Survey<br>6000 J Street, Placer Hall<br>Sacramento, California 95819</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Description of Study Area</li><li>Hydrogeology</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2025-12-19","noUsgsAuthors":false,"publicationDate":"2025-12-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Stamos, Christina L. 0000-0002-1007-9352 clstamos@usgs.gov","orcid":"https://orcid.org/0000-0002-1007-9352","contributorId":1252,"corporation":false,"usgs":true,"family":"Stamos","given":"Christina","email":"clstamos@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":false,"id":952324,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christensen, Allen H. 0000-0002-7061-5591 ahchrist@usgs.gov","orcid":"https://orcid.org/0000-0002-7061-5591","contributorId":1510,"corporation":false,"usgs":true,"family":"Christensen","given":"Allen","email":"ahchrist@usgs.gov","middleInitial":"H.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952325,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cromwell, Geoffrey 0000-0001-8481-405X gcromwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8481-405X","contributorId":5920,"corporation":false,"usgs":true,"family":"Cromwell","given":"Geoffrey","email":"gcromwell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952326,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dick, Meghan C. 0000-0002-8323-3787 mdick@usgs.gov","orcid":"https://orcid.org/0000-0002-8323-3787","contributorId":200745,"corporation":false,"usgs":true,"family":"Dick","given":"Meghan","email":"mdick@usgs.gov","middleInitial":"C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952327,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ely, Christopher P. 0000-0001-5276-5046","orcid":"https://orcid.org/0000-0001-5276-5046","contributorId":219282,"corporation":false,"usgs":true,"family":"Ely","given":"Christopher P.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952328,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jachens, Elizabeth R. 0000-0001-5885-8892","orcid":"https://orcid.org/0000-0001-5885-8892","contributorId":364201,"corporation":false,"usgs":false,"family":"Jachens","given":"Elizabeth","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":952329,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ogle, Sarah E. 0000-0002-7901-440X","orcid":"https://orcid.org/0000-0002-7901-440X","contributorId":364202,"corporation":false,"usgs":false,"family":"Ogle","given":"Sarah","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":952330,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shepherd, Mackenzie M. 0000-0001-9256-8872","orcid":"https://orcid.org/0000-0001-9256-8872","contributorId":224950,"corporation":false,"usgs":true,"family":"Shepherd","given":"Mackenzie","email":"","middleInitial":"M.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952331,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70273199,"text":"sim3539 - 2025 - Geologic map of the Guinevere Planitia quadrangle (V–30), Venus","interactions":[],"lastModifiedDate":"2026-02-03T17:00:42.404864","indexId":"sim3539","displayToPublicDate":"2025-12-19T12:37:35","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3539","displayTitle":"Geologic Map of the Guinevere Planitia Quadrangle (V–30), Venus","title":"Geologic map of the Guinevere Planitia quadrangle (V–30), Venus","docAbstract":"<p>This 1:5,000,000-scale geologic map of the Guinevere Planitia quadrangle divides the region into 15 geologic material units, defined using Magellan synthetic aperture radar (12.6-centimeter-wavelength radar system; 75 meters per pixel) datasets and including upland terrain units (2.4 percent of the surface area), plains materials units (59 percent), flow materials associated with named and unnamed eruptive centers (37.2 percent), small volcanic edifices, and impact crater materials (1.4 percent). Upland terrain units consist of tessera and lineated upland material, plains materials consist of Guinevere regional plains and Guinevere lineated and mottled plains, and flow materials consist of lobate flow material and plains-forming flow material. Specific lobate flows associated with Atanua Mons, Tuli Mons, Var Mons, and Uilata Fluctus are mapped separately. Other mapped units are impact crater material and small volcanic edifice. In addition to geologic units, we mapped linear features that show patterns of deformation or flow across the quadrangle. These consist of faults, wrinkle ridges, broad arches, channels, troughs, and flow direction indicators. The map region also contains several small volcanic features: shields, depressions, and craters. These, in combination with the plains, large volcanoes, and coronae, show the pervasive influence of volcanism across Venusian lowlands. The rims of nine identified impact features are delineated; large bright and dark haloes, which in some cases are associated with individual impact craters, are mapped as surficial mantling deposits.</p><p>We documented spatial relationships using the stratigraphic and cross-cutting relationships of the quadrangle’s geologic units and features to provide a synthesis of the region’s geologic history. The upland terrain of the quadrangle indicates intense tectonic deformation and uplift. It is exposed as embayed remnants, typically within the plains, and represents the oldest geologic materials locally and across the region. Guinevere plains and the plains-forming flow unit appear to be assemblages of volcanic flows from multiple sources, including distinct coronae and corona-like structures. The temporal evolution of Guinevere lineated and mottled plains was likely protracted, with continued formation of small volcanic edifices over a long period. The morphologic and radar brightness characteristics of volcanoes in the region indicate their growth may have involved (1) multiple large-scale eruptive centers with recognizable spatial and temporal sequences, (2) extensive lava flow fields with a multitude of flows producing complex, overlapping patterns, and (3) numerous small volcanic edifices, including shields, domes, and cones. Although geologic patterns common to other regions of Venus are evident in the Guinevere Planitia quadrangle, local relative age relationships are inconsistent or unclear, preventing robust stratigraphic correlation. The mapping results do, however, indicate complicated local sequences of volcanic and tectonic activity.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3539","collaboration":"Prepared for the National Aeronautics and Space Administration","usgsCitation":"Crown, D.A., Stofan, E.R., Bleamaster, L.F., III, 2025, Geologic map of the Guinevere Planitia quadrangle (V–30), Venus: U.S. Geological Survey Scientific Investigations Map 3539, 1 sheet, scale 1:5,000,000, pamphlet 15 p., https://doi.org/10.3133/sim3539.","productDescription":"Pamphlet: iv, 15 p.; 1 Sheet: 52.76 x 35.57 inches; Read Me; Database; Metadata","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-101507","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":497754,"rank":6,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/sim/3539/database","text":"Database"},{"id":497753,"rank":5,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3539/sim3539_readme.txt","size":"4 KB","linkFileType":{"id":2,"text":"txt"}},{"id":497752,"rank":4,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3539/sim3539_metadata.xml","size":"16 KB","linkFileType":{"id":8,"text":"xml"}},{"id":497751,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3539/sim3539_sheet.pdf","text":"Sheet","size":"14.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3539 Sheet","linkHelpText":"- Geologic Map of the Guinevere Planitia Quadrangle (V–30), Venus"},{"id":497750,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3539/sim3539_pamphlet.pdf","text":"Pamphlet","size":"1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3539 Pamphlet"},{"id":497749,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3539/coverthb.jpg"}],"scale":"5000000","otherGeospatial":"Guinevere Planitia quadrangle, Venus","contact":"<p><a href=\"https://www.usgs.gov/centers/astrogeology-science-center\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/astrogeology-science-center\"><span style=\"color: blue;\" data-mce-style=\"color: blue;\">Astrogeology Science Center</span></a><br><a href=\"https://www.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/\"><span style=\"color: blue;\" data-mce-style=\"color: blue;\">U.S. Geological Survey</span></a><br>2255 N. Gemini Dr.<br>Flagstaff, AZ 86001</p>","tableOfContents":"<ul><li>Introduction</li><li>The Magellan Mission</li><li>Methods and Data</li><li>Geology of the Guinevere Planitia Quadrangle</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2025-12-19","noUsgsAuthors":false,"publicationDate":"2025-12-19","publicationStatus":"PW","contributors":{"editors":[{"text":"Skinner, James A. 0000-0002-3644-7010","orcid":"https://orcid.org/0000-0002-3644-7010","contributorId":213623,"corporation":false,"usgs":true,"family":"Skinner","given":"James A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":952694,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Crown, David A. 0000-0002-8328-8294","orcid":"https://orcid.org/0000-0002-8328-8294","contributorId":364466,"corporation":false,"usgs":false,"family":"Crown","given":"David","middleInitial":"A.","affiliations":[{"id":13179,"text":"Planetary Science Institute","active":true,"usgs":false}],"preferred":false,"id":952691,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stofan, Ellen R. 0000-0002-6625-9459","orcid":"https://orcid.org/0000-0002-6625-9459","contributorId":364467,"corporation":false,"usgs":false,"family":"Stofan","given":"Ellen","middleInitial":"R.","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":952692,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bleamaster, Leslie F. III","contributorId":364468,"corporation":false,"usgs":false,"family":"Bleamaster","given":"Leslie","suffix":"III","middleInitial":"F.","affiliations":[{"id":52761,"text":"Trinity University","active":true,"usgs":false}],"preferred":false,"id":952693,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70272907,"text":"sir20255108 - 2025 - A probabilistic assessment methodology for the evaluation of geologic energy storage capacity—Natural gas storage in depleted hydrocarbon reservoirs","interactions":[],"lastModifiedDate":"2026-02-03T16:59:55.09678","indexId":"sir20255108","displayToPublicDate":"2025-12-19T11:15:00","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":"2025-5108","displayTitle":"A Probabilistic Assessment Methodology for the Evaluation of Geologic Energy Storage Capacity—Natural Gas Storage in Depleted Hydrocarbon Reservoirs","title":"A probabilistic assessment methodology for the evaluation of geologic energy storage capacity—Natural gas storage in depleted hydrocarbon reservoirs","docAbstract":"The need for energy storage, particularly underground, where capacity and duration may far exceed battery storage technologies, is especially relevant given the increasing demands for reliable power alongside the development of intermittent renewable electricity sources. Geologic energy storage facilities already exist, and expanded use would enable storing gases such as methane and hydrogen. In 2018, a National Academies of Sciences, Engineering, and Medicine report, “Future Directions for the U.S. Geological Survey's Energy Resources Program,” recommended that the U.S. Geological Survey (USGS) prioritize assessing underground energy storage in geologic formations in the United States.\n\nThe U.S. Geological Survey has since developed a methodology for assessing natural gas storage capacities in depleted hydrocarbon reservoirs on a national scale. The methodology introduced in this report prescribes three approaches for calculating gas storage capacity. This methodology relies on the availability of input data, including cumulative hydrocarbon production records, reservoir petrophysical properties, and reservoir pressure data. Assessment inputs can be obtained from public, State-level databases and propriety national-scale databases, although the use of analogs could be warranted for estimating input parameters. Probabilistic assessment results are aggregated to play, petroleum province, regional, and national scales. The steps defined in this report are demonstrated on the Michigan Basin Province, which includes the Mississippian Sandstone Gas Play and the Clinton Structural Play. This methodology could be used to systematically and consistently assess hydrocarbon plays and provinces for natural gas storage capacity across the United States.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255108","programNote":"Energy Resources Program","usgsCitation":"Buursink, M.L., Wiens, A.M., Jones, M.M., Varela, B.A., Freeman, P.A., Brennan, S.T., Merrill, M.D., and Warwick, P.D., 2025, A probabilistic assessment methodology for the evaluation of geologic energy storage capacity—Natural gas storage in depleted hydrocarbon reservoirs: U.S. Geological Survey Scientific Investigations Report 2025–5108, 26 p., https://doi.org/10.3133/sir20255108.","productDescription":"vii, 26 p.","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-170579","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":497306,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5108/coverthb.jpg"},{"id":497308,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255108/full","description":"SIR 2025-5108 HTML"},{"id":497307,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5108/sir20255108.pdf","size":"2.34 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5108 PDF"},{"id":497309,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5108/sir20255108.XML","description":"SIR 2025-5108 XML"},{"id":497310,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5108/images/"},{"id":499051,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119058.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Michigan","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -85.25,\n              44.0833\n            ],\n            [\n              -85.25,\n              43.75\n            ],\n            [\n              -84.8333,\n              43.75\n            ],\n            [\n              -84.8333,\n              44.0833\n            ],\n            [\n              -85.25,\n              44.0833\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Program Coordinator, <a href=\"https://www.usgs.gov/programs/energy-resources-program\" data-mce-href=\"https://www.usgs.gov/programs/energy-resources-program\">Energy Resources Program</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>Mail Stop 913<br>Reston, VA 20192</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Plain Language Summary</li><li>Introduction</li><li>Assessment Framework</li><li>Assessing Storage Capacity</li><li>Practical Considerations</li><li>Demonstrating Storage Capacity in the Michigan Basin</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2025-12-19","noUsgsAuthors":false,"plainLanguageSummary":"<p>Energy storage for future use is relevant at the national scale due to increasing power requirements and the desire for high-reliability supply. Having the ability to store energy gases underground, specifically natural gas, enables access during seasonal periods or times of unexpected demand. Geologic formations—namely depleted hydrocarbon reservoirs—are ideal underground settings for storing natural gas because they retained gas over geologic time scales. This report presents a methodology for estimating potential volumes of natural gas that can be stored in depleted hydrocarbon reservoirs. The methodology draws on the expertise of geologists and hydrocarbon production databases to first identify candidate reservoirs and then estimate probable storage volumes. The computed results may be combined into regional and national estimates for follow-on analysis and decision making. An example is provided that shows this methodology being used to evaluate the storage capacity for two “plays”—oil and gas accumulations where similar geologic conditions exist—in the Michigan Basin.</p>","publicationDate":"2025-12-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Buursink, Marc L. 0000-0001-6491-386X","orcid":"https://orcid.org/0000-0001-6491-386X","contributorId":203357,"corporation":false,"usgs":true,"family":"Buursink","given":"Marc L.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":951900,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wiens, Ashton M. 0000-0002-7030-0602","orcid":"https://orcid.org/0000-0002-7030-0602","contributorId":271176,"corporation":false,"usgs":true,"family":"Wiens","given":"Ashton","email":"","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951901,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Matthew M. 0000-0001-5996-1728","orcid":"https://orcid.org/0000-0001-5996-1728","contributorId":344228,"corporation":false,"usgs":true,"family":"Jones","given":"Matthew","middleInitial":"M.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":951902,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Varela, Brian A. 0000-0001-9849-6742 bvarela@usgs.gov","orcid":"https://orcid.org/0000-0001-9849-6742","contributorId":178091,"corporation":false,"usgs":true,"family":"Varela","given":"Brian","email":"bvarela@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":951903,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Freeman, Philip A. 0000-0002-0863-7431","orcid":"https://orcid.org/0000-0002-0863-7431","contributorId":206294,"corporation":false,"usgs":true,"family":"Freeman","given":"Philip A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":951904,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brennan, Sean T. 0000-0002-7102-9359","orcid":"https://orcid.org/0000-0002-7102-9359","contributorId":204982,"corporation":false,"usgs":true,"family":"Brennan","given":"Sean T.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":951905,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Merrill, Matthew D. 0000-0003-3766-847X","orcid":"https://orcid.org/0000-0003-3766-847X","contributorId":205698,"corporation":false,"usgs":true,"family":"Merrill","given":"Matthew D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":951906,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Warwick, Peter D. 0000-0002-3152-7783","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":205928,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":951907,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
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