Mountain regions are highly climate-sensitive, yet long-term observational evidence of elevation and seasonal climate dynamics in Central Asia remains limited. This study examines spatiotemporal trends in temperature (Tmean, Tmax, Tmin, and diurnal temperature range [DTR]) and precipitation across Kazakhstan’s transmountain regions using 74 meteorological stations (1981–2023). Data were analyzed using the Mann–Kendall test and Sen’s slope estimator, stratified across six elevation zones from lowlands (<400 m) to high mountains (>1500 m). Results reveal a robust, spatially coherent warming signal across all zones. Annual Tmean increased at a median rate of ~0.30 °C decade−1, peaking at 0.36 °C decade−1 above 1500 m, corresponding to an absolute increase exceeding 1.5 °C. Warming exhibited strong seasonal and diurnal asymmetries. Spring warmed most rapidly, with Tmean increasing >0.60 °C decade−1 (approaching 3 °C total). Winter warming was driven by Tmin increases (up to 0.44 °C decade−1), causing widespread DTR contraction, whereas summer warming was driven by Tmax increases, expanding DTR at higher elevations. Tmin showed the strongest elevation amplification overall. In stark contrast, precipitation trends were weak, spatially heterogeneous, and largely non-significant. Annual changes ranged from −6.63 to +14.35 mm decade−1, with seasonal tendencies indicating modest, non-significant winter/spring wetting and summer drying. Ultimately, the results demonstrate a profound decoupling between strong, elevation-dependent warming and weak precipitation changes. The acute amplification of temperature, particularly during spring and summer at high elevations, has severe implications for snowmelt timing, glacier mass balance, evapotranspiration demand, and long-term water security in Kazakhstan.
","language":"English","publisher":"MDPI","doi":"10.3390/w18091046","usgsCitation":"Duisebek, B., Senay, G.B., Usmanov, T., Kyrgyzbay, K., Sagin, J., Mukanov, Y., Samarkhanov, K., Wang, X., Danierhan, S., and Pan, X., 2026, Characterizing the long-term (1981–2023) temperature and precipitation dynamics in the Trans-Mountain regions of Kazakhstan, Central Asia: Water, v. 18, no. 9, 1046, 26 p., https://doi.org/10.3390/w18091046.","productDescription":"1046, 26 p.","ipdsId":"IP-187896","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":503778,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w18091046","text":"Publisher Index 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Talgat","contributorId":370600,"corporation":false,"usgs":false,"family":"Usmanov","given":"Talgat","affiliations":[{"id":88048,"text":"Kazakh-British Technical University","active":true,"usgs":false}],"preferred":false,"id":960569,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kyrgyzbay, Kudaibergen","contributorId":370601,"corporation":false,"usgs":false,"family":"Kyrgyzbay","given":"Kudaibergen","affiliations":[{"id":88049,"text":"Al-Farabi Kazakh National University, Kazakhstan","active":true,"usgs":false}],"preferred":false,"id":960570,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sagin, Janay","contributorId":360500,"corporation":false,"usgs":false,"family":"Sagin","given":"Janay","affiliations":[{"id":86016,"text":"Kazakh British Technical University","active":true,"usgs":false}],"preferred":false,"id":960571,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mukanov, Yerbolat","contributorId":370602,"corporation":false,"usgs":false,"family":"Mukanov","given":"Yerbolat","affiliations":[{"id":88050,"text":"Gumilyov Eurasian National University, AKazakhstan","active":true,"usgs":false}],"preferred":false,"id":960572,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Samarkhanov, Kanat","contributorId":370637,"corporation":false,"usgs":false,"family":"Samarkhanov","given":"Kanat","affiliations":[],"preferred":false,"id":960603,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wang, Xuejia","contributorId":370638,"corporation":false,"usgs":false,"family":"Wang","given":"Xuejia","affiliations":[],"preferred":false,"id":960573,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Danierhan, Sulitan","contributorId":370603,"corporation":false,"usgs":false,"family":"Danierhan","given":"Sulitan","affiliations":[{"id":88051,"text":"Chinese Academy of Sciences, China","active":true,"usgs":false}],"preferred":false,"id":960574,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Pan, Xiaohui","contributorId":370604,"corporation":false,"usgs":false,"family":"Pan","given":"Xiaohui","affiliations":[{"id":88051,"text":"Chinese Academy of Sciences, China","active":true,"usgs":false}],"preferred":false,"id":960575,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70276316,"text":"70276316 - 2026 - Efficiency of down-looking cameras for detecting round goby (Neogobius melanostomus) over varying substrates in laboratory microcosms","interactions":[],"lastModifiedDate":"2026-05-28T14:01:29.786884","indexId":"70276316","displayToPublicDate":"2026-04-28T08:54:53","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Efficiency of down-looking cameras for detecting round goby (Neogobius melanostomus) over varying substrates in laboratory microcosms","title":"Efficiency of down-looking cameras for detecting round goby (Neogobius melanostomus) over varying substrates in laboratory microcosms","docAbstract":"Since invading the Laurentian Great Lakes in the late 1980s, round goby Neogobius melanostomus have become a dominant benthic prey species, resulting in a need to accurately monitor their population abundance to inform fisheries management. Camera-based methods for assessing round goby abundances have gained popularity, but their efficiencies for detecting round goby are poorly understood. We evaluated the efficiency of down-looking color monocular cameras for detecting round goby presence in microcosm enclosures with known numbers of fish. Detection efficiencies were compared between sand and cobble substrate during daylight hours using a generalized linear mixed-effects model. After accounting for trial effects, enclosure placement, and within-replicate temporal autocorrelation, round goby detection efficiency was 98.6% over sand (95% confidence limit (CL): 98.0–99.0%), and 55.3% over a single layer of cobble substrate (CL: 48.6–61.8%). The large difference in detectability between cobble and sand suggests that camera-based estimates of round goby abundances are likely to be biased low and have lower relative precision in high-structure habitats, but may be largely unbiased in low-structure habitats. Despite much lower relative detection efficiencies of cameras in high-structure cobble habitats, the efficiencies reported here still compare favorably to conventional methods like otter and beam trawling. Our results provide initial quantitative bounds on the possible degree of negative bias in camera-based estimates of round goby abundances in different substrates, but require further field verification across the diversity of substrates, interstitial infilling, and other structural attributes of habitat found in the Great Lakes.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2026.102823","usgsCitation":"Yeager, N., Brenden, T.O., Esselman, P., Schulz, K.A., and Tilley, A.T., 2026, Efficiency of down-looking cameras for detecting round goby (Neogobius melanostomus) over varying substrates in laboratory microcosms: Journal of Great Lakes Research, https://doi.org/10.1016/j.jglr.2026.102823.","ipdsId":"IP-162638","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":504771,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","otherGeospatial":"Detroit River, Lake St. Clair","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.9490270748309,\n 42.368530023889406\n ],\n [\n -83.0108875525566,\n 42.368530023889406\n ],\n [\n -83.0108875525566,\n 42.339438861020085\n ],\n [\n -82.9490270748309,\n 42.339438861020085\n ],\n [\n -82.9490270748309,\n 42.368530023889406\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.83052449197854,\n 42.605189172189114\n ],\n [\n -82.77512824809497,\n 42.605189172189114\n ],\n [\n -82.77512824809497,\n 42.55812492657796\n ],\n [\n -82.83052449197854,\n 42.55812492657796\n ],\n [\n -82.83052449197854,\n 42.605189172189114\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-04-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Yeager, Nicholas 0000-0001-9154-692X","orcid":"https://orcid.org/0000-0001-9154-692X","contributorId":371602,"corporation":false,"usgs":false,"family":"Yeager","given":"Nicholas","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":962093,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brenden, Travis O. 0000-0002-4373-1503","orcid":"https://orcid.org/0000-0002-4373-1503","contributorId":371603,"corporation":false,"usgs":false,"family":"Brenden","given":"Travis","middleInitial":"O.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":962094,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Esselman, Peter C. 0000-0002-0085-903X","orcid":"https://orcid.org/0000-0002-0085-903X","contributorId":204291,"corporation":false,"usgs":true,"family":"Esselman","given":"Peter C.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":962095,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schulz, Kailee A. 0000-0002-0998-7951","orcid":"https://orcid.org/0000-0002-0998-7951","contributorId":371608,"corporation":false,"usgs":false,"family":"Schulz","given":"Kailee","middleInitial":"A.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":962096,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tilley, Alden T. 0000-0002-1056-3478","orcid":"https://orcid.org/0000-0002-1056-3478","contributorId":351036,"corporation":false,"usgs":true,"family":"Tilley","given":"Alden","middleInitial":"T.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":962097,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70275316,"text":"70275316 - 2026 - Using structured decision-making to develop a communications strategy for the U.S. Geological Survey Cooperative Research Units Program","interactions":[],"lastModifiedDate":"2026-04-30T13:39:25.408554","indexId":"70275316","displayToPublicDate":"2026-04-28T08:33:07","publicationYear":"2026","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":24021,"text":"Preprints.org","active":true,"publicationSubtype":{"id":32}},"title":"Using structured decision-making to develop a communications strategy for the U.S. Geological Survey Cooperative Research Units Program","docAbstract":"Communication regarding the mission of the U.S. Geological Survey (USGS) Cooperative Research Units Program (CRU) can take many forms, yet clear and concise messaging for various audiences is critical to highlight program accomplishments and increase visibility. Before the work described in this report, CRU did not have a communication strategy; therefore, CRU leadership supported a structured decision-making (SDM) workshop to develop a comprehensive strategy for multiple audiences. The workshop was conducted in November 2024, in Nebraska City, Nebraska. The working group for this SDM process included CRU Program leadership, the CRU Communications Team lead, Unit scientists, a Unit administrative assistant, a representative of the Wildlife Management Institute (WMI), a member of the USGS Ecosystems Mission Area (EMA), Office of Communications and Publishing (OCAP) team, and the team lead for the CRU Program strategic planning process, as well as three facilitators who were also unit scientists as well as experts in SDM. Over the course of a week, the SDM team followed the PrOACT framework which identified the problem, objectives, alternatives, consequences, and tradeoffs to guide us toward a strategy for implementation of a set of actions for CRU communications.\n\nResults of the SDM workshop included the development of a problem statement, an objectives hierarchy, a suite of alternatives that were evaluated using a consequences table and a clear process for assessing tradeoffs among alternative communication actions and strategies. Through the evaluation of consequences of each action or campaign, the team developed both the assessment tool (for the future) and an immediate plan for communication product development and distribution. The consequences table for this problem was meant to be flexible to accommodate changes in CRU thematic priorities and can be easily updated with new objectives, measures, and alternatives. In addition, the weight placed on objectives may change as the Team moves forward; the ranking and scoring system used in the workshop can be easily updated. \n\nOverall, the working group identified three different actions or campaigns—Fact Sheets, Who Are We Campaign, and Alumni Campaign—that scored high in the prototype decision framework. However, the tradeoffs analysis indicated that each action(s) performed better on some objectives than others. The working group identified a need to therefore develop an implementation plan that is composed of individual actions that each target different objectives to potentially create a holistic and feasible communications strategy that performs well for all objectives. In addition, the SDM prototype developed a scalable, objective-based framework for effectively communication of the value and accomplishments of the CRU program.","language":"English","publisher":"Preprints.org","doi":"10.20944/preprints202604.2012.v1","usgsCitation":"Robinson, K.F., Sells, S.N., McGowan, C.P., and Irwin, E.R., 2026, Using structured decision-making to develop a communications strategy for the U.S. Geological Survey Cooperative Research Units Program: Preprints.org, preprint posted April 28, 2026, https://doi.org/10.20944/preprints202604.2012.v1.","productDescription":"26 p.","ipdsId":"IP-177620","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"links":[{"id":504151,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.20944/preprints202604.2012.v1","text":"External Repository"},{"id":503616,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2026-04-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Robinson, Kelly Filer 0000-0001-8109-9492","orcid":"https://orcid.org/0000-0001-8109-9492","contributorId":340631,"corporation":false,"usgs":true,"family":"Robinson","given":"Kelly","email":"","middleInitial":"Filer","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":960556,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sells, Sarah Nelson 0000-0003-4859-7160","orcid":"https://orcid.org/0000-0003-4859-7160","contributorId":302377,"corporation":false,"usgs":true,"family":"Sells","given":"Sarah","email":"","middleInitial":"Nelson","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":960557,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGowan, Conor P. 0000-0002-7330-9581 cmcgowan@usgs.gov","orcid":"https://orcid.org/0000-0002-7330-9581","contributorId":10145,"corporation":false,"usgs":true,"family":"McGowan","given":"Conor","email":"cmcgowan@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":false,"id":960558,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Irwin, Elise R. 0000-0002-6866-4976 eirwin@usgs.gov","orcid":"https://orcid.org/0000-0002-6866-4976","contributorId":2588,"corporation":false,"usgs":true,"family":"Irwin","given":"Elise","email":"eirwin@usgs.gov","middleInitial":"R.","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":960559,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70276582,"text":"70276582 - 2026 - 2025 USGS National Seismic Hazard Model for Puerto Rico and the U.S. Virgin Islands: Overview of model and hazard results","interactions":[],"lastModifiedDate":"2026-06-09T15:20:27.566197","indexId":"70276582","displayToPublicDate":"2026-04-28T08:12:52","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"2025 USGS National Seismic Hazard Model for Puerto Rico and the U.S. Virgin Islands: Overview of model and hazard results","docAbstract":"The U.S. Geological Survey recently updated the National Seismic Hazard Model (NSHM) for Puerto Rico and the U.S. Virgin Islands (PRVI). The first version of the PRVI NSHM was released in 2003, and therefore this 2025 update includes over 20 years of new geologic, geophysical, and engineering data, methods, and models. Updates follow similar efforts performed in the recent 2023 50-state NSHM. However, this is the first NSHM in which we: (1) apply an inversion methodology to subduction interface fault sources in the earthquake rupture forecast (ERF) model; (2) develop scaled backbone median ground-motion models and independent aleatory variability models that are applied in the ground-motion characterization (GMC) model; and (3) calculate epistemic uncertainty related to alternative scenarios in the ERF and GMC models for all grid points in the study region. Long-term time-independent mean hazard calculations were performed for peak ground acceleration and 5%-damped pseudospectral acceleration at 21 spectral periods from 0.01- to 10.0-s, for eight National Earthquake Hazards Reduction Program site conditions ranging from VS30 = 150 to 1500 m/s, and for 2%, 5%, and 10% in 50-year probabilities of exceedance (return periods of 2475, 975, and 475 years, respectively). Epistemic uncertainty, in the form of selected percentiles, is also provided for a suite of test sites and all grid points in the study region for limited periods, site conditions, and probabilities of exceedance. Selected results, including comparisons with the 2003 PRVI NSHM, are shown and discussed for selected periods, site conditions, and probabilities of exceedance. When comparing the 2025 PRVI NSHM with the 2003 PRVI NSHM, hazard is generally higher at shorter periods and lower at longer periods, as a result of updates in both ERF and GMC models. The 2025 PRVI NSHM is applicable for return periods greater than ∼475 or less than ∼10,000 years.
","language":"English","publisher":"Wiley","doi":"10.1002/esp4.70055","usgsCitation":"Shumway, A.M., Milner, K., Powers, P.M., Moschetti, M.P., Altekruse, J.M., Herrick, J.A., Llenos, A.L., Withers, K.B., Field, E.H., Aagaard, B.T., Briggs, R.W., Hatem, A.E., Haynie, K.L., Michael, A.J., Thompson Jobe, J.A., Jaiswal, K.S., Clayton, B.S., Luco, N., Petersen, M.D., Rezaeian, S., Pratt, T.L., and Zeng, Y., 2026, 2025 USGS National Seismic Hazard Model for Puerto Rico and the U.S. Virgin Islands: Overview of model and hazard results: Earthquake Spectra, v. 42, no. 2, e70055, 43 p., https://doi.org/10.1002/esp4.70055.","productDescription":"e70055, 43 p.","ipdsId":"IP-169428","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":505234,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Puerto Rico, U.S. Virgin 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However, plants are adapted to multiple aspects of their environments that are often excluded from STZ development. Here, we used models integrating geographic distance, climate distance and soil metrics to predict plant mortality in an experimental garden for three restoration-relevant species in the southwestern United States: Bouteloua curtipendula, Heterotheca villosa and Sporobolus cryptandrus. Overall, climate distance explained mortality better than geographic distance, but increasing climate distance was not consistently associated with higher mortality. In contrast, mortality always increased with geographic distance. Species responded idiosyncratically to environmental gradients such as soil texture and pH, indicating that incorporating site-specific variables beyond climate can improve predictions of survival. Finally, seed sources of H. villosa from hotter, drier climates exhibited improved survival during abnormally hot, dry conditions at the experimental site, whereas no consistent pattern emerged for the two grass species. Collectively, our results suggest that seeding strategies extending beyond climate matching alone may better support restoration outcomes when species-specific guidance is unavailable.
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Effective augmentation requires distinguishing hatchery-origin from wild individuals and accurately identifying species, particularly in systems where closely related species coexist. Genetic monitoring is key to quantifying genetic differences, but conventional markers do not distinguish hybrids, especially backcrosses. Misidentifying hybrids in hatchery programs compromises wild gene pools because hatchery broodstock contributes to numerous offspring being released into the wild. Here, we present a workflow for developing and evaluating the Genotyping-in-Thousands by sequencing (GT-seq) single nucleotide polymorphism (SNP) panel for North American river sturgeons (Scaphirhynchus spp.). This panel is designed to detect complex hybrid classes and to determine parent-offspring relationships. Our species identification panel (S-loci) contains 155 SNPs selected for high genetic differentiation (FST) between Pallid Sturgeon (S. albus) and Shovelnose Sturgeon (S. platorynchus), and the parentage assignment panel (P-loci) includes 112 SNPs with high heterozygosity within Pallid Sturgeon. Simulation analyses demonstrated that our GT-seq S-loci panel reliably classifies pure species, F1, F2 and backcross hybrids, even with up to 70% missing data. The P-loci panel achieves high-confidence parentage assignment with ≥ 80% typed loci, with performance influenced by the proportion of sampled parents. Overall, the novel Scaphirhynchus GT-seq panel developed in this study represents a robust and efficient tool for detecting hybridisation, assigning parentage and providing critical information for management decisions in ongoing Pallid Sturgeon conservation.
","language":"English","publisher":"Wiley","doi":"10.1111/1755-0998.70124","usgsCitation":"Huang, J., Flamio Jr., R., Campbell, N.R., DeLonay, A.J., Buhman, A.C., and Heist, E.J., 2026, GT-Seq panel development for species identification and parentage analysis of closely related hybridising Scaphirhynchus sturgeons: Molecular Ecology Resources, v. 26, no. 3, e70124, 15 p., https://doi.org/10.1111/1755-0998.70124.","productDescription":"e70124, 15 p.","ipdsId":"IP-182509","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":502047,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1755-0998.70124","text":"Publisher Index Page"},{"id":501950,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"lower Mississippi River, Missouri River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -92.23064427153525,\n 39.585048555903796\n ],\n [\n -92.23064427153525,\n 29.23866385061089\n ],\n [\n -89.29970131135747,\n 29.23866385061089\n ],\n [\n -89.29970131135747,\n 39.585048555903796\n ],\n [\n -92.23064427153525,\n 39.585048555903796\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"26","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Huang, Junman","contributorId":369077,"corporation":false,"usgs":false,"family":"Huang","given":"Junman","affiliations":[{"id":25439,"text":"Southern Illinois University, Carbondale","active":true,"usgs":false}],"preferred":false,"id":958410,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flamio Jr., Richard","contributorId":253126,"corporation":false,"usgs":false,"family":"Flamio Jr.","given":"Richard","affiliations":[{"id":50485,"text":"Department of Zoology, Southern Illinois University Carbondale, Carbondale, IL","active":true,"usgs":false}],"preferred":false,"id":958411,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Campbell, Nathan R.","contributorId":369080,"corporation":false,"usgs":false,"family":"Campbell","given":"Nathan","middleInitial":"R.","affiliations":[{"id":87710,"text":"GTseek, LLC","active":true,"usgs":false}],"preferred":false,"id":958412,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeLonay, Aaron J. 0000-0002-3752-2799 adelonay@usgs.gov","orcid":"https://orcid.org/0000-0002-3752-2799","contributorId":2725,"corporation":false,"usgs":true,"family":"DeLonay","given":"Aaron","email":"adelonay@usgs.gov","middleInitial":"J.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":958413,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buhman, Amy C.","contributorId":369081,"corporation":false,"usgs":false,"family":"Buhman","given":"Amy","middleInitial":"C.","affiliations":[{"id":25439,"text":"Southern Illinois University, Carbondale","active":true,"usgs":false}],"preferred":false,"id":958414,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Heist, Edward J.","contributorId":369082,"corporation":false,"usgs":false,"family":"Heist","given":"Edward","middleInitial":"J.","affiliations":[{"id":25439,"text":"Southern Illinois University, Carbondale","active":true,"usgs":false}],"preferred":false,"id":958415,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70276573,"text":"70276573 - 2026 - Engaging adult R3 outdoor educational program design to strengthen participation in hunting and fishing","interactions":[],"lastModifiedDate":"2026-06-09T16:02:43.797976","indexId":"70276573","displayToPublicDate":"2026-04-27T08:58:09","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1909,"text":"Human Dimensions of Wildlife","active":true,"publicationSubtype":{"id":10}},"title":"Engaging adult R3 outdoor educational program design to strengthen participation in hunting and fishing","docAbstract":"Declining participation in hunting and fishing has been slowed by women who are learning numerous outdoor skills through recruitment, retention, and reactivation [R3] programs. R3 programs are hosted by state agencies, non-governmental organizations, and businesses that take a variety of approaches to develop participant skills and confidence. To understand how R3 program design influences hunting and fishing participation, we conducted 11 focus group interviews with 72 participants at women’s R3 programs to identify program design components that women appreciate when learning to hunt and fish. Well-designed programs offered customized educational approaches to align with participants’ needs, created a supportive environment to foster a sense of belonging, and streamlined participation through event logistics. Programs that incorporated these design components promoted skill development, boosted self-confidence, and helped participants build a supportive network to independently hunt and fish. Program leaders can apply these findings to bolster participation in hunting and fishing.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10871209.2026.2644512","usgsCitation":"Redmore, L., Isensee, S., Stafford, J.D., and Zavaleta Cheek, J., 2026, Engaging adult R3 outdoor educational program design to strengthen participation in hunting and fishing: Human Dimensions of Wildlife, https://doi.org/10.1080/10871209.2026.2644512.","ipdsId":"IP-184041","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":505240,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-04-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Redmore, Lauren","contributorId":372061,"corporation":false,"usgs":false,"family":"Redmore","given":"Lauren","affiliations":[{"id":88246,"text":"U.S, Forest Service","active":true,"usgs":false}],"preferred":false,"id":962700,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Isensee, Shelby","contributorId":372062,"corporation":false,"usgs":false,"family":"Isensee","given":"Shelby","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":962701,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stafford, Joshua D. 0000-0001-7590-8708 jstafford@usgs.gov","orcid":"https://orcid.org/0000-0001-7590-8708","contributorId":267260,"corporation":false,"usgs":true,"family":"Stafford","given":"Joshua","email":"jstafford@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":962702,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zavaleta Cheek, Jennifer","contributorId":372063,"corporation":false,"usgs":false,"family":"Zavaleta Cheek","given":"Jennifer","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":962703,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70275190,"text":"sir20255047 - 2026 - Peak-, mean-, and low-streamflow regional-regression equations for natural streamflow in central and western Colorado, 2019","interactions":[],"lastModifiedDate":"2026-05-18T16:07:47.996983","indexId":"sir20255047","displayToPublicDate":"2026-04-24T13:10:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5047","displayTitle":"Peak-, Mean-, and Low-Streamflow Regional-Regression Equations for Natural Streamflow in Central and Western Colorado, 2019","title":"Peak-, mean-, and low-streamflow regional-regression equations for natural streamflow in central and western Colorado, 2019","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with the Colorado Department of Transportation, developed peak-, mean-, and low-streamflow regional-regression equations for estimating various statistics for natural streamflow in hydrologic regions of central and western Colorado. The peak-streamflow regression equations were developed using data from 418 streamgages, consisting of 15,202 years of record and a mean of approximately 36 years of record per streamgage. The mean- and low-streamflow regional-regression equations were developed using data from 323 streamgages where daily streamflow data were collected year-round. The annual exceedance-probability discharges for each streamgage were computed using the USGS software program PeakFQ. Mean monthly and 7-day minimum and maximum streamflows were computed using the USGS software program SWToolbox. Streamflow-duration values were computed using an R script. The regional-regression equations were determined using data for the period of record for a given streamgage through water year 2019. Geographic information systems datasets were used to develop 55 basin and 42 climatic characteristics, which were evaluated as candidate explanatory variables in the regression analysis.
For the peak-streamflow regional-regression equations, the study area was divided into four hydrologic regions based on mean basin elevation, including the Plateau (less than 8,014 feet), Mid-Elevation (8,015 feet to 9,492 feet), Sub-Alpine (9,493 feet to 10,490 feet), and Alpine (greater than 10,490 feet) regions. For the peak-streamflow equations, the selection of basin and climatic characteristics was based on the 1-percent annual exceedance-probability discharge for each hydrologic region.
For the mean streamflow, streamflow-duration values, and 7-day minimum and maximum streamflows, the study area was divided into four hydrologic regions based on river basin, including the (1) Colorado-East Slope Headwaters, (2) Green River, (3) Rio Grande, and (4) San Juan-Dolores. For mean streamflows, basin and climatic characteristics were evaluated separately for the annual period and each month for each hydrologic region. Regional regression equations published in this report are available for use in the USGS web-based program StreamStats.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20255047","collaboration":"Prepared in cooperation with the Colorado Department of Transportation","usgsCitation":"Kohn, M.S., Mast, M.A., and Gross, T.A., 2026, Peak-, mean-, and low-streamflow regional-regression equations for natural streamflow in central and western Colorado, 2019: U.S. Geological Survey Scientific Investigations Report 2025–5047, 38 p., https://doi.org/10.3133/sir20255047.","productDescription":"Report: viii, 38 p.; 2 Tables; Data Release","onlineOnly":"Y","ipdsId":"IP-140049","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":503285,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5047/sir20255047.pdf","text":"Report","size":"5.86 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5047"},{"id":504484,"rank":9,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255047/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5047"},{"id":504422,"rank":8,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5047/sir20255047.xml"},{"id":504421,"rank":7,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5047/images"},{"id":503897,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119385.htm","linkFileType":{"id":5,"text":"html"}},{"id":503290,"rank":5,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/sir/2025/5047/sir20255047_table1.2.csv","text":"Table 1.2","size":"16.0 KB","linkFileType":{"id":7,"text":"csv"},"description":"SIR 2025-5047 Table 2","linkHelpText":"Basin and climate characteristics evaluated for use in the peak-, mean-, and low-streamflow regional-regression equations in central and western Colorado, 2019"},{"id":503284,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5047/coverthb.jpg"},{"id":503289,"rank":4,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/sir/2025/5047/sir20255047_table1.1.csv","text":"Table 1.1","size":"72.0 KB","linkFileType":{"id":7,"text":"csv"},"description":"SIR 2025-5047 Table 1","linkHelpText":"Summary of the streamgages used in the regression analysis of natural streams in central and western Colorado, 2019"},{"id":503286,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9Q5AMFV","text":"USGS data release","linkHelpText":"Streamflow data and basin characteristics of natural streams in central and western Colorado, 2019"}],"country":"United States","state":"Colorado","otherGeospatial":"central and western Colorado","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.5157587,\n 37.0336449\n ],\n [\n -104.2371905,\n 37.7437419\n ],\n [\n -104.4345097,\n 38.3014981\n ],\n [\n -104.9220039,\n 39.2695668\n ],\n [\n -104.5737937,\n 39.5207192\n ],\n [\n -104.8523603,\n 41.026094\n ],\n [\n -109.0540968,\n 40.9910589\n ],\n [\n -109.0557679,\n 37.0087015\n ],\n [\n -104.5157587,\n 37.0336449\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Colorado Water Science Center
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Noise exposure is a potential stressor for free-ranging marine mammals and is often studied in the absence of other environmental factors. Here, a multi-investigator, interdisciplinary effort was undertaken to examine the response of elephant seals to multiple stressors. An integrated physiological and ecological approach was taken, including immunology, stress physiology, toxicology, animal behavior, population biology, and life history theory, to examine the cumulative effects of exposure to multiple stressors in elephant seals. While we measured the response of individual animals, a population response can be predicted by incorporating these results into the long-term data on elephant seal demographics.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The effects of noise on aquatic life IV","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer Nature","doi":"10.1007/978-3-031-94229-7_40-1","collaboration":"UC Santa Cruz, DOW","usgsCitation":"Costa, D.P., Holser, R.R., Shipway, G.T., Favilla, A.B., McDonald, B.I., Shen, D.M., Diluzio, A.R., Peterson, S.H., Ackerman, J.T., and Crocker, D.E., 2026, Cumulative effects of multiple stressors on marine mammals: Elephant seals as a model system, chap. 1 of The effects of noise on aquatic life IV, p. 1-16, https://doi.org/10.1007/978-3-031-94229-7_40-1.","productDescription":"16 p.","startPage":"1","endPage":"16","ipdsId":"IP-186933","costCenters":[{"id":651,"text":"Western Ecological Research 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University","active":true,"usgs":false}],"preferred":false,"id":960533,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70273813,"text":"fs20253057 - 2026 - Uranium—Deposits, production and resources, market dynamics, and supply chain risks","interactions":[],"lastModifiedDate":"2026-04-24T18:39:05.038413","indexId":"fs20253057","displayToPublicDate":"2026-04-23T11:45:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-3057","displayTitle":"Uranium—Deposits, Production and Resources, Market Dynamics, and Supply Chain Risks","title":"Uranium—Deposits, production and resources, market dynamics, and supply chain risks","docAbstract":"Interest in nuclear power for the generation of electricity has risen with the increase in the need for more diverse baseload power, enhanced energy security, and the development of new technologies, such as small modular reactors (SMRs), which could provide power for remote areas, industrial applications, and artificial intelligence (AI) data centers. In 2024, the U.S. Department of Energy received $2.7 billion in congressional funding to bolster the domestic uranium production and nuclear fuel supply chain and address reliance on imports from foreign suppliers. In 2025, the U.S. Government issued several Executive and Secretary’s orders aimed at revitalizing the U.S. nuclear sector. If SMRs are to be as widely deployed in the United States and worldwide as envisioned, demand for uranium (nuclear reactor fuel) will likely increase.
After the Fukushima nuclear accident in 2011, the market spot price of uranium began a decline, followed by a decrease in U.S. and global uranium exploration and mine development expenditures that led to a uranium supply deficit until 2020, when prices started to recover, prompting a resurgence in uranium exploration and development. In January of 2024, the uranium spot price rose to a 17-year high $106 (U.S. dollars) per pound of U3O8 (triuranium oxide, commonly known as “yellowcake”), which is expected to increase uranium exploration, mine development, and uranium production domestically and worldwide.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20253057","programNote":"Mineral Resources Program","usgsCitation":"Mihalasky, M.J., 2026, Uranium—Deposits, production and resources, market dynamics, and supply chain risks: U.S. Geological Survey Fact Sheet 2025-3057, 6 p., https://doi.org/10.3133/fs20253057.","productDescription":"6 p.","onlineOnly":"N","ipdsId":"IP-183501","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":503531,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119374.htm","linkFileType":{"id":5,"text":"html"}},{"id":503325,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20253057/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2025-3057"},{"id":499486,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2025/3057/coverthb.jpg"},{"id":499488,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2025/3057/fs20253057.pdf","text":"Report","size":"10.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2025-3057"},{"id":503248,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2025/3057/fs20253057.xml"},{"id":503247,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2025/3057/images"}],"geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -163.27895957198476,\n 82.71495374821887\n ],\n [\n 179.9,\n 82.71495374821887\n ],\n [\n 179.9,\n -58.79868573338722\n ],\n [\n -163.27895957198476,\n -58.79868573338722\n ],\n [\n -163.27895957198476,\n 82.71495374821887\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Geology, Minerals, Energy, and Geophysics Science Center
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Building 19, 350 N. Akron Rd.
P.O. Box 158
Moffett Field, CA 94035
Metallurgical coal (met coal; consumed to produce coke for steelmaking) must meet specific chemical and physical specifications. In 2023, the conterminous United States produced 66 million short tons (mst) of met coal, consumed 15.85 mst domestically, exported 51.1 mst, and imported 0.7 mst. Most met coal was produced in the Appalachian Basin, but there are also resources that meet the specifications for met coal in the Western United States.
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U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
Cyanobacterial harmful algal blooms (cyanoHABs) pose risks to human and animal health.
We investigated the relationship between cyanoHABs and asthma or wheeze-related emergency department (ED) visits near three Wisconsin cities (Green Bay, Madison, and Oshkosh) during 2017–2019. CyanoHAB exposure was approximated using the Cyanobacterial Assessment Network remotely sensed satellite indicator of cyanobacterial biomass, a chlorophyl algorithm (ChlBS) aggregated by water-adjacent ZIP Code Tabulation Areas (ZCTA), and distance weighted from the nearest waterbody. Weekly counts of ED visits for asthma or wheeze were aggregated by ZCTA. Poisson generalized linear models estimated the association between the weekly number of ED visits and weekly ChlBS, adjusting for maximum temperature, dewpoint, fine particulate matter (PM2.5), month, and correlation within ZCTA.
During 2017–2019, 7,057 ED visits for asthma or wheeze occurred in the study area (42 ZCTAs). Peaks in ChlBS occurred between June and October, with higher values in Lake Winnebago and Lake Mendota compared to Green Bay. ChlBS was not associated with ED visits for asthma or wheeze (adjusted rate ratio = 1.00, 95% confidence interval = 0.99, 1.00), and the presence of onshore winds did not change this result. Monthly aggregations of ED visits and ChlBS showed a monotonic trend between increasing ChlBS and ED visits during July–September.
This study demonstrates the utility of remote sensing data in environmental health research. Future studies could explore individual-level exposure and outcomes to refine health risks associated with cyanoHABs.
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Washington","interactions":[{"subject":{"id":70275112,"text":"70275112 - 2025 - Development of a two-stage life cycle model to inform the Trap and Haul Program for Coho salmon in the Lewis River, Washington","indexId":"70275112","publicationYear":"2025","noYear":false,"title":"Development of a two-stage life cycle model to inform the Trap and Haul Program for Coho salmon in the Lewis River, Washington"},"predicate":"SUPERSEDED_BY","object":{"id":70275077,"text":"ofr20261004 - 2026 - Development of a two-stage lifecycle model to inform the trap-and-haul program for Oncorhynchus kisutch (coho salmon) in the Lewis River, Washington","indexId":"ofr20261004","publicationYear":"2026","noYear":false,"title":"Development of a two-stage lifecycle model to inform the trap-and-haul program for Oncorhynchus kisutch (coho salmon) in the Lewis River, Washington"},"id":1}],"lastModifiedDate":"2026-04-23T13:56:24.60608","indexId":"ofr20261004","displayToPublicDate":"2026-04-22T14:45:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2026-1004","displayTitle":"Development of a Two-Stage Lifecycle Model to Inform the Trap-and-Haul Program for Oncorhynchus kisutch (Coho Salmon) in the Lewis River, Washington","title":"Development of a two-stage lifecycle model to inform the trap-and-haul program for Oncorhynchus kisutch (coho salmon) in the Lewis River, Washington","docAbstract":"Restoration of salmon populations in the upper Lewis River Basin, Washington, depends on a trap-and-haul program owing to the Lewis River Hydroelectric Project (hereinafter referred to as “Project”) operated by PacifiCorp and Cowlitz Public Utilities District (hereinafter referred to as “Utilities”), which has been a barrier to salmon passage since the 1930s. Thus, sustaining the Oncorhynchus kisutch (Walbaum, 1792; coho salmon) population upstream from the Project currently depends on two fundamental factors: (1) the collection of upstream migrating adult coho salmon at Merwin Dam, the lowermost dam within the Project, and transporting them by truck to spawn above Swift Dam, the uppermost dam within the Project; and (2) the collection of out-migrating juvenile coho salmon at the downstream collection facility at Swift Dam for transport and release below the Project. The reintroduction program began once the downstream collection facility at Swift Dam was commissioned in late 2012, with the first year of transport data being collected in 2013. Over the past decade, the Utilities have been collecting data on juvenile outmigrants and adult fish returns at the dams. The need to construct a lifecycle model for Lewis River anadromous fish was identified by the Lewis River Aquatic Technical Subgroup, with the understanding that many years (more than 15 years) of data collection are needed to adequately measure the lifecycle production of salmon. The U.S. Geological Survey was contracted to develop and apply the model to past data at the Lewis River dams to help inform future data collection and provide a framework that can be updated annually to measure trap-and-haul program performance within a lifecycle context.
Because coho salmon can live as long as 5 years, estimating demographic parameters for coho salmon populations over their lifecycle requires at least 10 or more years of data collection. Over the past decade, PacifiCorp has been collecting data on fish collection efficiency and the numbers of adult and juvenile salmon transported around the Lewis River dams, making this an ideal time to formulate a lifecycle model that can guide future data collection efforts and provide preliminary information to resource managers. The goal of the statistical lifecycle model is to estimate annual production and survival during two critical life-stage transitions: (1) the freshwater production from escapement of adults released upstream from Swift Dam, and the collection of downstream migrating juveniles at the downstream passage facility at Swift Dam; and (2) the smolt-to-adult survival from the time of collection at Swift Dam to their return as adults. We used the Beverton-Holt stock-recruitment model to estimate juvenile production from the number of spawners (Beverton and Holt, 1957). This approach allowed us to test for density dependence at current spawner abundances while estimating annual productivity, defined as the number of juveniles produced per spawner at low spawner abundance. Productivity was then expressed as a function of the number of juveniles collected and transported downstream from the Project. Because juvenile fish collection efficiency (FCE) directly affects the number of juveniles that survive to continue downstream migration, FCE is a primary determinant of fish production. Consequently, the modeling framework is well suited to evaluate the performance of trap-and-haul programs within a lifecycle context.
The objectives of this study were to (1) gather and collate available data on adult and juvenile coho salmon at Merwin and Swift Dams; (2) quantify adult escapement, juvenile abundance, and the age at outmigration and adult return; (3) describe, formulate and fit the integrated population model to the data; and (4) summarize our findings, identify data gaps, and identify opportunities for future studies that could improve model estimation and inference. Our key findings were: (1) over and above the number of spawning females, FCE was the primary factor affecting productivity of coho salmon above Swift Dam; (2) smolt-to-adult return (SAR) rates were relatively high considering that harvest was included in the estimate, averaging about 4.5 percent and ranging as high as 12.9 percent; and (3) juvenile capacity upstream from Swift Dam was difficult to estimate due to the limited range in spawning females over the time series of data, suggesting the model may be improved by collecting data at higher spawner abundances. In addition, by including FCE in the model, we estimated that the median pre-collection productivity, defined as the number of juveniles produced per spawner when FCE=1, was 64 juveniles per spawner. Because the two-stage lifecycle model partitions factors that affect fish production in rivers versus the ocean, the model estimates may help inform fishery managers about the overall role that fish collection at Swift Dam plays in the recovery and sustainability of Lewis River coho salmon. By providing the model with (1) more years of data, (2) higher numbers of spawning females, and (3) data on age at juvenile migration in relation to age at adult return, greater certainty in the estimates of capacity and SAR can be attained. Ultimately, information provided by the model may assist in the evaluation and continued improvement of the current trap-and-haul program to support anadromous fishes in the Lewis River Basin.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20261004","collaboration":"Prepared in cooperation with PacifiCorp","usgsCitation":"Plumb, J.M., and Perry, R.W., 2026, Development of a two-stage lifecycle model to inform the trap-and-haul program for Oncorhynchus kisutch (coho salmon) in the Lewis River, Washington: U.S. Geological Survey Open-File Report 2026–1004, 24 p., https://doi.org/10.3133/ofr20261004. [Supersedes preprint https://doi.org/10.1101/2025.04.30.651546.]","productDescription":"vii, 24 p.","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-170103","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":502780,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2026/1004/coverthb.jpg"},{"id":502781,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2026/1004/ofr20261004.pdf","size":"5.95 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2026-1004 PDF"},{"id":502782,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20261004/full","linkFileType":{"id":5,"text":"html"},"description":"OFR 2026-1004 HTML"},{"id":502783,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2026/1004/ofr20261004.XML","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2026-1004 XML"},{"id":502784,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2026/1004/images/"}],"country":"United States","state":"Washington","otherGeospatial":"Lewis River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.99926718616892,\n 46.128547340095906\n ],\n [\n -122.8039992422735,\n 46.12907889994935\n ],\n [\n -122.80484882535518,\n 45.8612743686528\n ],\n [\n -122.00013863515652,\n 45.86266272702096\n ],\n [\n -121.99926718616892,\n 46.128547340095906\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Western Fisheries Research Center
U.S. Geological Survey
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Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 80.1 trillion cubic feet of shale gas in the Grand Erg/Ahnet Basin Province of Algeria.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20263005","programNote":"National and Global Petroleum Assessment","usgsCitation":"Brownfield, M.E., Schenk, C.J., Mercier, T.J., Tennyson, M.E., Woodall, C.A., Finn, T.M., Le, P.A., Leathers-Miller, H.M., Pitman, J.K., Drake, R.M., II, and Gaswirth, S.B., 2026, Assessment of undiscovered shale-gas resources in the Grand Erg/Ahnet Basin Province of Algeria, 2026: U.S. Geological Survey Fact Sheet 2026–3005, 4 p., https://doi.org/10.3133/fs20263005.","productDescription":"Report: 4 p.; Data Release","onlineOnly":"Y","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":503311,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2026/3005/images"},{"id":503212,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2026/3005/fs20263005.pdf","text":"Report","size":"1.44 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2026-3005"},{"id":503324,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20263005/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2026-3005"},{"id":503312,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2026/3005/fs20263005.xml"},{"id":503224,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13BHMMZ","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project—Grand Erg/Ahnet Basin Province—Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables"},{"id":503211,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2026/3005/coverthb.jpg"}],"country":"Algeria","otherGeospatial":"Grand Erg/Ahnet Basin Province","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -6,\n 34\n ],\n [\n -6,\n 24\n ],\n [\n 6,\n 24\n ],\n [\n 6,\n 34\n ],\n [\n -6,\n 34\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
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Box 25046, MS-939
Denver, CO 80225-0046
A rapid transition to renewable energy is necessary for achieving global decarbonization targets, but siting conflicts, particularly beyond the built environment, remain a key barrier to sustainable development. At the same time, climate-induced pressures on biodiversity intensify the socio-ecological trade-offs within the energy-agriculture-biodiversity nexus. Using New York State as a case study, we assess the geographic implications of utility-scale solar energy development under competing land-use priorities. We apply a mixed-integer linear programming (MILP) optimization model to evaluate solar buildout across three distinct scenarios: minimizing cost, prioritizing agricultural preservation, and conserving biodiversity, employing a lexicographic hierarchy to enforce a strict ordering of stakeholder priorities. Results indicate that New York can meet its mid-century decarbonization goals by deploying 46,216 MWdc of solar energy, however, achieving this goal involves considerable land-use trade-offs. A cost-minimizing scenario disproportionately targets pasture and hay lands (>40,000 ha), nearly half of which overlap with grassland bird habitat and broader biodiversity areas. Prioritizing agriculture spares ∼80 % of farmland but creates potential for deforestation of over 41,000 ha. Biodiversity-conscious siting avoids ecologically sensitive areas and increases the annualized total costs by 0.17 %, indicating economic feasibility. Our findings highlight the need for spatially informed, integrative land-use strategies that reconcile climate goals with ecological and agricultural values. By linking geospatial optimization with socio-ecological criteria, this work contributes a transferable framework to inform just and ecologically responsible energy transitions in multifunctional landscapes, offering new insights into how geography can advance sustainable development.
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This paper presents a new algorithm to translate continuous body midlines of fish into a series of interconnected segments by identifying favorable joint positions along the body. The algorithm employs binary search to generate parsimonious kinematic models, aiming at minimizing the number of segments yet keeping approximation error below a user-defined threshold. To achieve this, the algorithm maximizes the length of each segment by determining the most distal joint position through repetitive shrinking of the search space. Theoretical and empirical analysis using two different datasets show that the binary search algorithm is substantially faster when compared to segment growing algorithm, which employs linear search to generate its models. There is four-fold improvement in computation time when generating models with less than 10 segments, which are typically sufficient to describe fish and fish-inspired robot movements. Furthermore, the multi-segment models generated by the binary search algorithm matched the ground truth models obtained through dynamic programming in over 97% of cases, and on average, contained one fewer segment than those produced by the Ramer–Douglas–Peucker algorithm, which is widely used in curvature simplification tasks. Our findings suggest that the binary search algorithm provides a computationally efficient approach for generating compact kinematic models and may facilitate the analysis of large datasets with high temporal and spatial resolution.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.compag.2026.111789","usgsCitation":"Sterling, R.M., Goerig, E.M., Buzdalov, M., Castro-Santos, T., and Akanyeti, O., 2026, Fish body midline segmentation using binary search: Computers and Electronics in Agriculture, v. 248, 111789, 14 p., https://doi.org/10.1016/j.compag.2026.111789.","productDescription":"111789, 14 p.","ipdsId":"IP-171912","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":503451,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.compag.2026.111789","text":"Publisher Index Page"},{"id":503348,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"248","noUsgsAuthors":false,"publicationDate":"2026-04-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Sterling, Robert M.H.","contributorId":370360,"corporation":false,"usgs":false,"family":"Sterling","given":"Robert","middleInitial":"M.H.","affiliations":[{"id":16758,"text":"Aberystwyth University","active":true,"usgs":false}],"preferred":false,"id":960152,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goerig, Elsa Marie-Catherine 0000-0003-1430-4657","orcid":"https://orcid.org/0000-0003-1430-4657","contributorId":370312,"corporation":false,"usgs":true,"family":"Goerig","given":"Elsa","middleInitial":"Marie-Catherine","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":960153,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buzdalov, M","contributorId":370313,"corporation":false,"usgs":false,"family":"Buzdalov","given":"M","affiliations":[{"id":16758,"text":"Aberystwyth University","active":true,"usgs":false}],"preferred":false,"id":960154,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Castro-Santos, Theodore 0000-0003-2575-9120","orcid":"https://orcid.org/0000-0003-2575-9120","contributorId":315433,"corporation":false,"usgs":true,"family":"Castro-Santos","given":"Theodore","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":960155,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Akanyeti, O.","contributorId":269927,"corporation":false,"usgs":false,"family":"Akanyeti","given":"O.","email":"","affiliations":[{"id":16758,"text":"Aberystwyth University","active":true,"usgs":false}],"preferred":false,"id":960156,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70275332,"text":"70275332 - 2026 - Spatially consistent but temporally divergent changes in nitrate and phosphorus loads and yields in Illinois watersheds, 1997–2022","interactions":[{"subject":{"id":70262007,"text":"70262007 - 2025 - Diverging trends in nitrate and phosphorus loads and yields across Illinois watersheds, 1997–2022","indexId":"70262007","publicationYear":"2025","noYear":false,"title":"Diverging trends in nitrate and phosphorus loads and yields across Illinois watersheds, 1997–2022"},"predicate":"SUPERSEDED_BY","object":{"id":70275332,"text":"70275332 - 2026 - Spatially consistent but temporally divergent changes in nitrate and phosphorus loads and yields in Illinois watersheds, 1997–2022","indexId":"70275332","publicationYear":"2026","noYear":false,"title":"Spatially consistent but temporally divergent changes in nitrate and phosphorus loads and yields in Illinois watersheds, 1997–2022"},"id":1}],"lastModifiedDate":"2026-04-29T15:01:54.607734","indexId":"70275332","displayToPublicDate":"2026-04-22T09:57:56","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6465,"text":"Journal of American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Spatially consistent but temporally divergent changes in nitrate and phosphorus loads and yields in Illinois watersheds, 1997–2022","docAbstract":"Illinois contributes substantial nutrient loads to the Gulf of America, warranting watershed-scale assessment. This study estimated nitrate-nitrogen (nitrate-N) and total phosphorus (TP) loads and yields for 49 Illinois 8-digit hydrologic unit code (HUC8) watersheds draining to the Mississippi River Basin from 1997–2022, comparing recent (2018–2022) to baseline (1997–2011) conditions. Estimates included point and nonpoint source contributions, dissolved phosphorus, and water yields. During the recent period, nonpoint sources dominated nutrient export (82% nitrate-N, 78% TP), though point sources drove high yields in the Chicago area. Spatially, nonpoint source nutrient hotspots persisted with nitrate-N yields highest in east-central and northern Illinois and TP yields higher in southern and western Illinois. Temporally, statewide nitrate-N loads decreased 9%, while TP loads increased 27%. Nitrate-N yields increased in 22 HUC8s and decreased in 20, while TP yields increased in 32 HUC8s and decreased in 9. For both nutrients, baseline yields were negatively correlated with yield changes, indicating high-yielding watersheds tended toward larger decreases or smaller increases. Water yields increased 19% on average but were weakly correlated with nutrient yield changes (r = 0.23 and 0.20 for nitrate-N and TP). These results reveal spatially persistent yet temporally divergent nutrient export across Illinois, with contrasting nitrate-N and TP trajectories for nonpoint sources.
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Ayn 0000-0001-7074-0619","orcid":"https://orcid.org/0000-0001-7074-0619","contributorId":290229,"corporation":false,"usgs":true,"family":"Schafer","given":"Lindsey","email":"","middleInitial":"Ayn","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960593,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Podzorski, Hannah Lee 0000-0001-5204-2606 hpodzorski@usgs.gov","orcid":"https://orcid.org/0000-0001-5204-2606","contributorId":333626,"corporation":false,"usgs":true,"family":"Podzorski","given":"Hannah","email":"hpodzorski@usgs.gov","middleInitial":"Lee","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960592,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McIsaac, Gregory F. 0000-0001-7761-6231","orcid":"https://orcid.org/0000-0001-7761-6231","contributorId":370630,"corporation":false,"usgs":false,"family":"McIsaac","given":"Gregory","middleInitial":"F.","affiliations":[{"id":16984,"text":"University of Illinois at Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":960594,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70275228,"text":"70275228 - 2026 - Spatial heterogeneity of salt marsh vulnerability to sea-level rise: Dual controls of hydrological setting and salinity regime","interactions":[],"lastModifiedDate":"2026-04-23T14:59:21.164096","indexId":"70275228","displayToPublicDate":"2026-04-22T09:50:01","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Spatial heterogeneity of salt marsh vulnerability to sea-level rise: Dual controls of hydrological setting and salinity regime","docAbstract":"Salt marsh vulnerability to sea-level rise (SLR) is typically assessed using point measurements of vertical accretion, neglecting three-dimensionality of geomorphic evolution and spatial variability. Recent studies suggest links between vertical and horizontal vulnerability, with differences between oligohaline and polyhaline marshes, yet these relationships remain untested in estuary-marsh systems. Here we combine geospatial analysis with hydrodynamic modeling to evaluate how unvegetated/vegetated marsh ratio (UVVR), a metric of marsh degradation, relates to elevation across hydrological regions and salinity regimes in the Albemarle-Pamlico Estuarine System, the largest lagoonal estuary in U.S. We show that at given normalized elevation, UVVR decreases across hydrological regions and salinity regimes from offshore to inland. UVVR-elevation relationship varies systematically with both hydrological setting and salinity regime, with hydrology exerting stronger influence. These findings challenge the assumption of a universal marsh deterioration trajectory and underscore the need to account for spatial heterogeneity when predicting responses to SLR.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025GL119461","usgsCitation":"Yin, D., Defne, Z., Ganju, N., Warner, J., Ralston, D.K., Harris, C.K., and Li, B., 2026, Spatial heterogeneity of salt marsh vulnerability to sea-level rise: Dual controls of hydrological setting and salinity regime: Geophysical Research Letters, v. 53, no. 8, e2025GL119461, 12 p., https://doi.org/10.1029/2025GL119461.","productDescription":"e2025GL119461, 12 p.","ipdsId":"IP-183090","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":503449,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025gl119461","text":"Publisher Index Page"},{"id":503344,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Albemarle‐Pamlico Estuarine System","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.5,\n 36.692983362167894\n ],\n [\n -75.19410206255961,\n 36.692983362167894\n ],\n [\n -75.19410206255961,\n 34.5\n ],\n [\n -77.5,\n 34.5\n ],\n [\n -77.5,\n 36.692983362167894\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"53","issue":"8","noUsgsAuthors":false,"publicationDate":"2026-04-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Yin, Dongxiao","contributorId":294535,"corporation":false,"usgs":false,"family":"Yin","given":"Dongxiao","email":"","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":960173,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Defne, Zafer 0000-0003-4544-4310 zdefne@usgs.gov","orcid":"https://orcid.org/0000-0003-4544-4310","contributorId":5520,"corporation":false,"usgs":true,"family":"Defne","given":"Zafer","email":"zdefne@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":960174,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ganju, Neil K. 0000-0002-1096-0465","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":202878,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":960175,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":960176,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ralston, David K.","contributorId":370316,"corporation":false,"usgs":false,"family":"Ralston","given":"David","middleInitial":"K.","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":960177,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Harris, Courtney K.","contributorId":370317,"corporation":false,"usgs":false,"family":"Harris","given":"Courtney","middleInitial":"K.","affiliations":[{"id":6708,"text":"Virginia Institute of Marine Science","active":true,"usgs":false}],"preferred":false,"id":960178,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Li, Bin","contributorId":47684,"corporation":false,"usgs":true,"family":"Li","given":"Bin","email":"","affiliations":[],"preferred":false,"id":960179,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70275367,"text":"70275367 - 2026 - Dynamic drainage reorganization in Eastern Tibet: Insights from the Yangtze River first bend","interactions":[],"lastModifiedDate":"2026-05-01T15:26:27.966229","indexId":"70275367","displayToPublicDate":"2026-04-22T09:38:48","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Dynamic drainage reorganization in Eastern Tibet: Insights from the Yangtze River first bend","docAbstract":"The modern drainage network of eastern Tibet is widely believed to have developed through a series of river capture and flow reversal events; however, the timing and mechanisms driving this reorganization remain contentious. Among these events, the river capture that formed the First Bend of the Yangtze River (YFB) stands out as both iconic and particularly debated. Here we present sedimentary provenance data from the Late Miocene–Quaternary Dali Basin, located south of the YFB, which indicate that a southward-flowing Jinsha River (i.e., the present-day upper Yangtze River) sourced sediment to the Dali basin at ∼7.4–6.4 Ma in a drainage configuration different from that of today. Because this interval postdates the initial establishment of a near-modern Jinsha River system prior to the Miocene, our results imply at least two discrete fluvial reorganizations occurred at the YFB—one preceding ∼7.4 Ma and another following ∼6.4 Ma. By integrating these findings with landscape evolution modeling, we infer that the initiation of rapid uplift of the Yulong-Haba Mountains and the Diancang Shan may have been responsible for these drainage reorganizations. These results underscore that Cenozoic drainage systems on the eastern Tibetan Plateau have evolved dynamically on a short timescale of ∼105–106-year, rather than remaining in a long-term stationary configuration on ∼107-year timescales.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2026.120054","usgsCitation":"Zhao, X., Li, Y., Zhang, H., Lease, R.O., Wang, Y., Hao, Y., Ma, Z., Xie, H., Kang, H., Xiong, J., and Zhang, P., 2026, Dynamic drainage reorganization in Eastern Tibet: Insights from the Yangtze River first bend: Earth and Planetary Science Letters, v. 686, 120054, 13 p., https://doi.org/10.1016/j.epsl.2026.120054.","productDescription":"120054, 13 p.","ipdsId":"IP-157349","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":503886,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","otherGeospatial":"eastern Tibetan Plateau, first bend of the Yangtze River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 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China","active":true,"usgs":false}],"preferred":false,"id":960739,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhang, Huiping","contributorId":197172,"corporation":false,"usgs":false,"family":"Zhang","given":"Huiping","email":"","affiliations":[],"preferred":false,"id":960740,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lease, Richard O. 0000-0003-2582-8966 rlease@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-8966","contributorId":5098,"corporation":false,"usgs":true,"family":"Lease","given":"Richard","email":"rlease@usgs.gov","middleInitial":"O.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":960741,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wang, 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Hao","contributorId":370770,"corporation":false,"usgs":false,"family":"Xie","given":"Hao","affiliations":[{"id":85575,"text":"State Key Laboratory of Earthquake Dynamics, Institute of Geology, China Earthquake Administration, Beijing, China","active":true,"usgs":false}],"preferred":false,"id":960745,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kang, Huan","contributorId":370771,"corporation":false,"usgs":false,"family":"Kang","given":"Huan","affiliations":[{"id":85575,"text":"State Key Laboratory of Earthquake Dynamics, Institute of Geology, China Earthquake Administration, Beijing, China","active":true,"usgs":false}],"preferred":false,"id":960746,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Xiong, Jianguo","contributorId":370772,"corporation":false,"usgs":false,"family":"Xiong","given":"Jianguo","affiliations":[{"id":85575,"text":"State Key Laboratory of Earthquake Dynamics, Institute of Geology, China Earthquake Administration, Beijing, China","active":true,"usgs":false}],"preferred":false,"id":960747,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Zhang, Peizhen","contributorId":370773,"corporation":false,"usgs":false,"family":"Zhang","given":"Peizhen","affiliations":[{"id":37968,"text":"Sun Yat-Sen University","active":true,"usgs":false}],"preferred":false,"id":960748,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70275286,"text":"70275286 - 2026 - Geophysical architecture and geochronology of the Neoarchean Mentor anorthosite intrusive complex, northwestern Minnesota: Largest anorthosite complex of the Superior Province?","interactions":[],"lastModifiedDate":"2026-04-27T15:02:08.192248","indexId":"70275286","displayToPublicDate":"2026-04-22T07:55:36","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1168,"text":"Canadian Journal of Earth Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Geophysical architecture and geochronology of the Neoarchean Mentor anorthosite intrusive complex, northwestern Minnesota: Largest anorthosite complex of the Superior Province?","docAbstract":"The Neoarchean Mentor anorthosite intrusive complex (MAIC) lies within the Wawa subprovince in northwestern Minnesota, in a region where the Wawa, Quetico, and Wabigoon subprovinces are juxtaposed in close proximity. Archean rocks are entirely concealed, and interpretations are developed from aeromagnetic, gravity, and borehole samples. The MAIC includes both anorthosite (dense, weakly magnetized) and oxide-rich gabbro (strongly magnetized) lithologies. Anorthosite is coarse-grained to megacrystic, intensely altered, and locally brecciated. Pervasive epidote alteration enhanced the density of the anorthosite via introduction of higher-density mineral assemblages, explaining why the MAIC produces a significant gravity high. Oxide-rich gabbro forms a border phase of the MAIC and has potential for vanadium, chromium, and titanium mineralization, and produces a strong aeromagnetic high. The MAIC is interpreted to extend over an area of 640 km2, making it the largest known anorthosite complex of the Superior Province, as measured by preserved areal extent. Modeling indicates the MAIC extends more than 6 km into the subsurface. A new Pb–Pb zircon age of 2737.2 ± 4.5 Ma is interpretated as the crystallization age of anorthosite within the MAIC, showing that the MAIC formed well before the ca. 2690 Ma Shebandowanian orogeny, and raising new questions about correlations with other parts of the Wawa subprovince. A low-density batholith, here informally called the Fertile batholith, is interpreted to intrude the southern part of the MAIC. A new Pb–Pb zircon age of 2701.1 ± 6 Ma is interpreted as the magmatic age of the Fertile batholith.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjes-2025-0089","usgsCitation":"Drenth, B.J., Radakovich, A.L., Souders, A., Hudak, G.J., and Saari, S., 2026, Geophysical architecture and geochronology of the Neoarchean Mentor anorthosite intrusive complex, northwestern Minnesota: Largest anorthosite complex of the Superior Province?: Canadian Journal of Earth Sciences, v. 63, p. 1-15, https://doi.org/10.1139/cjes-2025-0089.","productDescription":"15 p.","startPage":"1","endPage":"15","ipdsId":"IP-182404","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":503765,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/cjes-2025-0089","text":"Publisher Index Page"},{"id":503548,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","otherGeospatial":"northwestern Minnesota","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -97.07620613768854,\n 48.191635179203104\n ],\n [\n -97.07620613768854,\n 47.53413690391682\n ],\n [\n -95.69318804170514,\n 47.53413690391682\n ],\n [\n -95.69318804170514,\n 48.191635179203104\n ],\n [\n -97.07620613768854,\n 48.191635179203104\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"63","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Drenth, Benjamin J. 0000-0002-3954-8124 bdrenth@usgs.gov","orcid":"https://orcid.org/0000-0002-3954-8124","contributorId":1315,"corporation":false,"usgs":true,"family":"Drenth","given":"Benjamin","email":"bdrenth@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":960338,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Radakovich, Amy L.","contributorId":370430,"corporation":false,"usgs":false,"family":"Radakovich","given":"Amy","middleInitial":"L.","affiliations":[{"id":38105,"text":"Minnesota Geological Survey","active":true,"usgs":false}],"preferred":false,"id":960339,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Souders, Amanda Kate 0000-0002-1367-8924","orcid":"https://orcid.org/0000-0002-1367-8924","contributorId":296423,"corporation":false,"usgs":true,"family":"Souders","given":"Amanda Kate","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":960340,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hudak, George J.","contributorId":370431,"corporation":false,"usgs":false,"family":"Hudak","given":"George","middleInitial":"J.","affiliations":[{"id":88028,"text":"retired from Natural Resources Research Institute","active":true,"usgs":false}],"preferred":false,"id":960341,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Saari, Stacy","contributorId":346927,"corporation":false,"usgs":false,"family":"Saari","given":"Stacy","email":"","affiliations":[{"id":34923,"text":"Minnesota DNR","active":true,"usgs":false}],"preferred":false,"id":960342,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70275607,"text":"70275607 - 2026 - A site prioritization tool for invasive species management: Integrating diverse spatial data to improve decision making","interactions":[],"lastModifiedDate":"2026-05-05T14:55:27.565619","indexId":"70275607","displayToPublicDate":"2026-04-22T07:47:10","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1457,"text":"Ecological Informatics","active":true,"publicationSubtype":{"id":10}},"title":"A site prioritization tool for invasive species management: Integrating diverse spatial data to improve decision making","docAbstract":"Resource managers are tasked with protecting natural areas from invasive species with limited resources. Further, invasive management goals can vary greatly based on different management priorities specific to management agencies or taxa of interest. The site prioritization tool for invasive species management addresses these challenges by creating a platform to view and combine diverse spatial data layers to estimate cumulative invasion risk based on user-specific needs. For this tool, we developed a human transport risk layer, estimating invasion risk based on proximity to human population centers and transportation corridors, and created maps of non-native species richness across the conterminous United States. The tool also includes spatial layers showing projected changes in key climate variables through the end of the century to identify areas where invasion risk may shift. Users can explore these layers to prioritize sites based on the invasive taxa of interest, likely invasion pathways, and disturbances that may elevate invasion risk. This interactive tool will allow managers to make the spatial comparisons needed to focus efforts on areas that are highly susceptible to invasion and efficiently target monitoring and suppression efforts.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoinf.2026.103779","usgsCitation":"Prevéy, J.S., Reimer, C.J., Engelstad, P.S., Belamaric, P.N., Hogan, T., LaRoe, J.M., Mumford, C.J., Sieracki, J.L., and Jarnevich, C.S., 2026, A site prioritization tool for invasive species management: Integrating diverse spatial data to improve decision making: Ecological Informatics, v. 95, 103779, 11 p., https://doi.org/10.1016/j.ecoinf.2026.103779.","productDescription":"103779, 11 p.","ipdsId":"IP-170865","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":504193,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoinf.2026.103779","text":"Publisher Index Page"},{"id":503992,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n 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N.","contributorId":371100,"corporation":false,"usgs":false,"family":"Belamaric","given":"Pairsa","middleInitial":"N.","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":961033,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hogan, Terri","contributorId":240929,"corporation":false,"usgs":false,"family":"Hogan","given":"Terri","email":"","affiliations":[{"id":48162,"text":"National Park Service, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":961034,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"LaRoe, Jillian M.","contributorId":371101,"corporation":false,"usgs":false,"family":"LaRoe","given":"Jillian","middleInitial":"M.","affiliations":[{"id":88096,"text":"Applied Analysis Solutions LLC","active":true,"usgs":false}],"preferred":false,"id":961035,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mumford, Colter J.","contributorId":371102,"corporation":false,"usgs":false,"family":"Mumford","given":"Colter","middleInitial":"J.","affiliations":[{"id":85205,"text":"Montana State University Institute on Ecosystems, National Park Service Greater Yellowstone Network","active":true,"usgs":false}],"preferred":false,"id":961036,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sieracki, Jennifer L.","contributorId":371103,"corporation":false,"usgs":false,"family":"Sieracki","given":"Jennifer","middleInitial":"L.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":961037,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":961038,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70275358,"text":"70275358 - 2026 - Non-native invasive beetle alters structure of a riparian bird community in a biodiversity hotspot","interactions":[],"lastModifiedDate":"2026-04-30T15:17:01.314898","indexId":"70275358","displayToPublicDate":"2026-04-21T10:11:49","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Non-native invasive beetle alters structure of a riparian bird community in a biodiversity hotspot","docAbstract":"A serious emerging threat to southern California riparian ecosystems is the invasive shot hole borer (Euwallacea spp.; SHB), a non-native beetle that cultivates a pathogenic fungus that kills trees of 66 reproductive host species. We examined the response of the bird community at the Tijuana River, California, to a massive SHB infestation in 2015 using data from a Monitoring Avian Productivity and Survivorship (MAPS) station operated during 7 pre-infestation (2009-15) and 7 post-infestation (2017-23) years. Species richness did not change between pre- and immediate (2017-18) post-SHB periods, but average annual adult captures declined by 27%. Among the species making up ≥ 5% of the total individuals caught in any one year (n=15), abundance declined by up to 76% in 10 species, including those most abundant at the station (Bushtit (Psaltriparus minimus), Song Sparrow (Melospiza melodia), Common Yellowthroat (Geothlypis trichas), Orange-crowned Warbler (Leiothlypis celata), and Wilson’s Warbler (Cardellina pusilla)). Mean annual abundance increased slightly for the endangered Least Bell’s Vireo (Vireo bellii pusillus) and Northern Yellow Warbler (Setophaga aestiva) and doubled for House Finch (Haemorhous mexicanus) and Western Warbling-Vireo (V. swainsoni). We compared species trends at the Tijuana River to those at a nearby uninfested MAPS station on the Santa Margarita River to isolate the effect of SHB from other factors influencing annual abundance. The contribution of SHB to changes in abundance post-SHB was high (63-80%) for 7 declining species, moderate (22-45%) for 4 species, and weakly to moderately positive (18-40%) for 3 species. By 2019, the SHB infestation at the Tijuana River had abated and canopy cover was recovering through resprouting of mature willows (Salix spp.) and seedling establishment. Bird abundance tracked this regrowth, with all of the species strongly affected by SHB increasing between 2019-23. The rapid recovery of the Tijuana River habitat and the associated response by the bird community are encouraging signs that the threat of the invasive shot hole borer to regional biodiversity may not be as great as originally anticipated.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/fevo.2026.1810966","usgsCitation":"Kus, B., Yee, J.L., and Mendia, S., 2026, Non-native invasive beetle alters structure of a riparian bird community in a biodiversity hotspot: Frontiers in Ecology and Evolution, v. 14, 1810966, 9 p., https://doi.org/10.3389/fevo.2026.1810966.","productDescription":"1810966, 9 p.","ipdsId":"IP-186817","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":503790,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2026.1810966","text":"Publisher Index Page"},{"id":503679,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"San Diego County","otherGeospatial":"Tijuana River and Santa Margarita River Monitoring Avian Productivity and Survivorship (MAPS) stations","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.12478011611208,\n 32.57418261517307\n ],\n [\n -117.06869623089518,\n 32.57418261517307\n ],\n [\n -117.06869623089518,\n 32.54037521854214\n ],\n [\n -117.12478011611208,\n 32.54037521854214\n ],\n [\n -117.12478011611208,\n 32.57418261517307\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"14","noUsgsAuthors":false,"publicationDate":"2026-04-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Kus, Barbara E. 0000-0002-3679-3044 barbara_kus@usgs.gov","orcid":"https://orcid.org/0000-0002-3679-3044","contributorId":3026,"corporation":false,"usgs":true,"family":"Kus","given":"Barbara E.","email":"barbara_kus@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":960702,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yee, Julie L. 0000-0003-1782-157X","orcid":"https://orcid.org/0000-0003-1782-157X","contributorId":370734,"corporation":false,"usgs":false,"family":"Yee","given":"Julie","middleInitial":"L.","affiliations":[{"id":88067,"text":"USGS- Western Ecological Research Center","active":true,"usgs":false}],"preferred":false,"id":960703,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mendia, Shannon M. 0000-0003-4520-7024","orcid":"https://orcid.org/0000-0003-4520-7024","contributorId":223100,"corporation":false,"usgs":true,"family":"Mendia","given":"Shannon M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":960704,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70275602,"text":"70275602 - 2026 - Surface rupture and slip distribution of the 2025 Mw7.7 Mandalay earthquake and updated length scaling of supershear earthquakes","interactions":[],"lastModifiedDate":"2026-05-19T15:48:31.65209","indexId":"70275602","displayToPublicDate":"2026-04-21T09:27:06","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}},"displayTitle":"Surface rupture and slip distribution of the 2025 Mw 7.7 Mandalay earthquake and updated length scaling of supershear earthquakes","title":"Surface rupture and slip distribution of the 2025 Mw7.7 Mandalay earthquake and updated length scaling of supershear earthquakes","docAbstract":"The 2025 Mw 7.7 Mandalay, Burma (Myanmar), earthquake ruptured 475 km of the central Sagaing fault and is the longest continental strike-slip rupture on record. The observed rupture length is 1.6–4.7 times the value expected (100–300 km) from existing length-magnitude scaling relations for strike-slip earthquakes. The earthquake resulted from shallow dextral faulting and ruptured bilaterally with supershear speeds south of the epicenter, rupturing close to three major cities in Myanmar and exposing over six million people to violent or extreme shaking. We report on the surface rupture character, length, and slip distribution based on sub-pixel correlation of Sentinel-2 (10 m) and Planet Dove (3 m) optical images and visual analysis of SkySat and WorldView (0.3–0.5 m) optical images. The earthquake had moderate surface slip (average = 3.3 m, maximum = 5.6 m, 25–75% range = 3.0–4.0 m), narrow deformation zone width (1–10 pixels in sub-pixel correlation and up to 190 meters for the detailed surface rupture mapping), and simple fault geometry (no stepovers or large changes in strike, 87% of the rupture that was mapped in detail is single-stranded). We attribute the extreme length of the Mandalay earthquake to supershear rupture speed, simple fault geometry, narrow down-dip width, and moderate surface slip. Based on a compilation of 25 supershear strike-slip earthquakes (Mw 6.5–8.6; 1979–2025), we find that the rupture length of supershear earthquakes does not fit empirical scaling relationships for strike-slip earthquakes that predict length from magnitude. A length-magnitude scaling relationship based on supershear earthquakes has a best fit of log10(surface rupture length) = 0.89 Mw – 4.44, indicating that supershear earthquakes tend to be longer than their subshear counterparts for any given magnitude and thus may expose a greater population to shaking.
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2026 - Standardized method for logging drill core at the Idaho National Laboratory, Idaho","interactions":[],"lastModifiedDate":"2026-04-21T14:52:03.318781","indexId":"tm5E1","displayToPublicDate":"2026-04-21T09:10:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"5-E1","displayTitle":"Standardized Method for Logging Drill Core at the Idaho National Laboratory, Idaho","title":"Standardized method for logging drill core at the Idaho National Laboratory, Idaho","docAbstract":"The U.S. Geological Survey’s (USGS) Lithologic Core Storage Library (CSL) at the Idaho National Laboratory stores more than 120,000 feet of drill core that is accessible to the public for research and sampling. To effectively convey the physical and descriptive properties of the drill core, USGS staff at the Idaho National Laboratory Project Office log the drill core and publish the lithologic logs as data releases. The logs provide essential data on the lithology, texture, mineralogy, alteration, and other physical properties of the core, which serve as valuable information for researchers to guide their research and sampling efforts. To ensure consistent, quality, and dependable lithologic logs, this document outlines the procedures and expectations for logging drill core at the CSL. This document describes the processes for storing, photographing, and logging core, and includes a variety of resources, reference materials, and appendixes designed to standardize and aid the logging process. Following the procedures outlined in this document will produce consistent, detailed logs that facilitate dependable observations and serve as an easy reference for researchers and other interested parties.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm5E1","collaboration":"Prepared in cooperation with the U.S. Department of Energy","usgsCitation":"Dietz, H., 2026, Standardized method for logging drill core at the Idaho National Laboratory, Idaho: U.S. Geological Survey Techniques and Methods, book 5, chapter E1, 54 p., https://doi.org/10.3133/tm5E1.","productDescription":"Report: vi, 54 p.; 2 Appendixes","numberOfPages":"54","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-159218","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":502933,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/tm/05/e1/images/"},{"id":502932,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/tm/05/e1/tm5e1.XML","linkFileType":{"id":8,"text":"xml"},"description":"TM 5-E1 XML"},{"id":502931,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/tm5E1/full","linkFileType":{"id":5,"text":"html"},"description":"TM 5-E1 HTML"},{"id":502930,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/05/e1/tm5e1.pdf","size":"5.49 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM 5-E1 PDF"},{"id":502929,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/05/e1/coverthb.jpg"},{"id":503257,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/05/e1/tm5e1_appendix1.xlsx","text":"Appendix 1","size":"57 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"- Digital Logbook"},{"id":503266,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/05/e1/tm5e1_appendix1_csv.xlsx","text":"Appendix 1","size":"4.86 KB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":"- Digital Logbook (in CSV format)"}],"country":"United States","state":"Idaho","otherGeospatial":"Idaho National Laboratory","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.25,\n 44\n ],\n [\n -112.4,\n 44\n ],\n [\n -112.4,\n 43.333\n ],\n [\n -113.25,\n 43.333\n ],\n [\n -113.25,\n 44\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Idaho Water Science Center
U.S. Geological Survey
230 Collins Rd.
Boise, ID 83702-4520
The U.S. Geological Survey (USGS) manages the Lithologic Core Storage Library (CSL) at Idaho National Laboratory in southeastern Idaho. The CSL stores drill core, which are long cylinders of rock that have been removed from the subsurface of the Earth through drilling. USGS staff describe these drill cores in detail to create lithologic logs, which record features of the drill core like rock type, mineralogy, and appearance. This report explains how to describe drill cores at the CSL so that the lithologic logs are consistent and dependable. The report also includes helpful tools and resources like charts and dictionaries. Following the steps outlined in this report ensures that researchers have detailed and reliable information about the subsurface geology of southeastern Idaho.
","publicationDate":"2026-04-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Dietz, Haley M. 0000-0001-9741-9366","orcid":"https://orcid.org/0000-0001-9741-9366","contributorId":350974,"corporation":false,"usgs":true,"family":"Dietz","given":"Haley","middleInitial":"M.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":959641,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70276244,"text":"70276244 - 2026 - Modeling future groundwater depletion to evaluate sustainability goals set under the Sustainable Groundwater Management Act in the critically overdrafted basins of the Central Valley, California, USA (2020–2070)","interactions":[],"lastModifiedDate":"2026-05-20T14:13:52.678977","indexId":"70276244","displayToPublicDate":"2026-04-21T08:56:17","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Modeling future groundwater depletion to evaluate sustainability goals set under the Sustainable Groundwater Management Act in the critically overdrafted basins of the Central Valley, California, USA (2020–2070)","docAbstract":"In 2014, California's Sustainable Groundwater Management Act (SGMA) mandated local agencies to devise and implement groundwater sustainability plans to address critically overdrafted conditions throughout the state's aquifers. However, the feasibility of these agencies' sustainability goals has not previously been assessed through a regional-scale, integrative lens. Here, we develop and analyze a novel, basin-wide database of 936 sustainability indicator wells located within Central Valley subbasins designated as critically overdrafted, most of which lie in the San Joaquin Valley. Our database shows 2040 groundwater elevation goals vary widely from 60 m above to 80 m below 2020 levels, with variability within and between adjacent subbasins. To evaluate the feasibility of achieving these goals, we coupled the database with a regional hydrologic model (Central Valley Hydrologic Model version 2) and simulated multiple future pumping scenarios. Results show that under increased groundwater demand, 60%–70% of indicator wells may fail to meet their 2040 goals. Even a 50% reduction from 2020 demand levels leaves nearly 40% of wells failing to meet their sustainability thresholds by 2040. Baseline models show that by 2070, up to 70% of wells could fail to meet their goals due to large-scale, spatially connected regions of groundwater depletion. This integrated framework, linking the first region-wide compilation of SGMA indicator wells with a regional groundwater model, demonstrates that many local sustainability goals may be unattainable with substantial (up to 50%) reductions in pumping. Additional management interventions, such as expanded recharge or coordinated demand reductions, may help achieve sustainability goals.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025WR040639","usgsCitation":"Platt, L., Weingarten, M., Faunt, C., Traum, J.A., and Boyce, S., 2026, Modeling future groundwater depletion to evaluate sustainability goals set under the Sustainable Groundwater Management Act in the critically overdrafted basins of the Central Valley, California, USA (2020–2070): Water Resources Research, v. 62, no. 4, e2025WR040639, 21 p., https://doi.org/10.1029/2025WR040639.","productDescription":"e2025WR040639, 21 p.","ipdsId":"IP-177585","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":504652,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025wr040639","text":"Publisher Index Page"},{"id":504548,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.4080957,\n 34.9782649\n ],\n [\n -117.4924999,\n 36.0958145\n ],\n [\n -121.8550448,\n 40.6736669\n ],\n [\n -122.9860749,\n 40.4691133\n ],\n [\n -121.8550448,\n 38.0720337\n ],\n [\n -119.7007016,\n 35.484185\n ],\n [\n -118.4080957,\n 34.9782649\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"62","issue":"4","noUsgsAuthors":false,"publicationDate":"2026-04-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Platt, Logan 0009-0009-3390-8043","orcid":"https://orcid.org/0009-0009-3390-8043","contributorId":371426,"corporation":false,"usgs":true,"family":"Platt","given":"Logan","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961807,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weingarten, Mathew 0000-0002-1289-5935","orcid":"https://orcid.org/0000-0002-1289-5935","contributorId":371427,"corporation":false,"usgs":false,"family":"Weingarten","given":"Mathew","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":961808,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Faunt, Claudia C. 0000-0001-5659-7529 ccfaunt@usgs.gov","orcid":"https://orcid.org/0000-0001-5659-7529","contributorId":150147,"corporation":false,"usgs":true,"family":"Faunt","given":"Claudia C.","email":"ccfaunt@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961809,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Traum, Jonathan A. 0000-0002-4787-3680 jtraum@usgs.gov","orcid":"https://orcid.org/0000-0002-4787-3680","contributorId":4780,"corporation":false,"usgs":true,"family":"Traum","given":"Jonathan","email":"jtraum@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961810,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boyce, Scott 0000-0003-0626-9492 seboyce@usgs.gov","orcid":"https://orcid.org/0000-0003-0626-9492","contributorId":4766,"corporation":false,"usgs":true,"family":"Boyce","given":"Scott","email":"seboyce@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961811,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}