This study provides a comprehensive assessment of phytoplankton biomass dynamics in Lake Pontchartrain, Louisiana, by combining monthly water quality data with multispectral and hyperspectral satellite observations using a machine learning algorithm. A machine learning model based on Variational Autoencoder (VAE), globally applicable, was used to estimate phytoplankton biomass via chlorophyll-a (Chl-a) from Sentinel 2-MSI and NASA's new hyperspectral mission, PACE-OCI, enabling the first direct comparison between the two sensors. The model performed well in this complex estuarine system, with higher accuracy from PACE-OCI (MAE: 1.48, RMSE: 10.40, slope: 0.87) than Sentinel 2-MSI (MAE: 1.57, RMSE: 11.08, slope: 0.83). This approach enabled continuous high-resolution monitoring of phytoplankton biomass across space and time. Comparative analysis of 2019, a wet year with Bonnet Carré Spillway (BCS) openings, and 2023, a dry year with extremely low riverine inputs, revealed distinct biomass dynamics. In 2019, BCS discharge initially suppressed Chl-a within turbid waters (<5 mg Chl-a m−3) but later acted as a nutrient and hydrodynamic driver, transporting nutrients toward the lake outlet and Mississippi coast, promoting high biomass (25–45 mg Chl-a m−3) near the entrance. In contrast, dry conditions in 2023 led to more frequent-than-expected high biomass (>35 mg Chl-a m−3), persisting in the lake center. Similar spatial patterns were observed again in 2024, revealed for the first time by PACE-OCI. This study demonstrates the value of satellite-derived observations for capturing transient phytoplankton biomass events and highlights the potential of PACE-OCI's hyperspectral capabilities to better distinguish phytoplankton communities and improve understanding of their responses to freshwater inflows and associated processes driving pulses into estuaries.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2025.181126","usgsCitation":"Shrestha, S., Liu, B., Li, J., Huang, W., Baustian, M.M., D'Sa, E.J., Bargu, S., Messina, F., Georgiou, I.Y., Kumar, A., Freeman, A., and Mize, S., 2026, Phytoplankton biomass dynamics in wet (2019) and dry (2023) years in Lake Pontchartrain estuary, Louisiana from Sentinel 2-MSI and PACE-OCI observations: Science of the Total Environment., v. 1011, 181126, 18 p., https://doi.org/10.1016/j.scitotenv.2025.181126.","productDescription":"181126, 18 p.","ipdsId":"IP-182233","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":498677,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2025.181126","text":"Publisher Index Page"},{"id":498512,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Lake Pontchartrain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -90.49105160076985,\n 30.53601815810063\n ],\n [\n -90.49105160076985,\n 30.005844220801436\n ],\n [\n -89.67986096368708,\n 30.005844220801436\n ],\n [\n -89.67986096368708,\n 30.53601815810063\n ],\n [\n -90.49105160076985,\n 30.53601815810063\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"1011","noUsgsAuthors":false,"publicationDate":"2025-12-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Shrestha, Shiwani","contributorId":364939,"corporation":false,"usgs":false,"family":"Shrestha","given":"Shiwani","affiliations":[{"id":7155,"text":"University of Louisiana at Lafayette","active":true,"usgs":false}],"preferred":false,"id":953503,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Bingqing","contributorId":304014,"corporation":false,"usgs":false,"family":"Liu","given":"Bingqing","email":"","affiliations":[{"id":13499,"text":"The Water Institute of the Gulf","active":true,"usgs":false}],"preferred":false,"id":953504,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Li, Jiang","contributorId":167428,"corporation":false,"usgs":false,"family":"Li","given":"Jiang","email":"","affiliations":[],"preferred":false,"id":953505,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Huang, Wei","contributorId":316258,"corporation":false,"usgs":false,"family":"Huang","given":"Wei","email":"","affiliations":[{"id":40642,"text":"Oak Ridge National Lab","active":true,"usgs":false}],"preferred":false,"id":953506,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baustian, Melissa Millman 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Angelina","contributorId":223755,"corporation":false,"usgs":false,"family":"Freeman","given":"Angelina","affiliations":[{"id":40763,"text":"Coastal Protection and Restoration Authority","active":true,"usgs":false}],"preferred":false,"id":953513,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Mize, Scott 0000-0001-6751-5568","orcid":"https://orcid.org/0000-0001-6751-5568","contributorId":218508,"corporation":false,"usgs":true,"family":"Mize","given":"Scott","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953514,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70273112,"text":"70273112 - 2026 - Preface","interactions":[],"lastModifiedDate":"2025-12-16T17:01:24.087232","indexId":"70273112","displayToPublicDate":"2025-12-15T10:57:42","publicationYear":"2026","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Preface","docAbstract":"Despite more than 50 years of research into the human dimensions of recreational f isheries, there is no textbook to present the theoretical grounding, operationalisation, and interpretation of the most elemental social components involved in fisheries management – namely, outcomes and trade-offs, behaviours (and antecedents or predictors of it), and the relationships among actors (fishers, f isher groups, managers, and management organisations). The objective of this edited volume is to reduce this knowledge gap. The book comprises four parts: (I) recreational fisheries as social-ecological systems, (II) disciplinary views of f ishers’ behaviours and outcomes, (III) engagement of fishers to support effective social science, and (IV) interdisciplinary integration for recreational fisheries management. Part I provides the general motivation for an interdisciplinary approach to understand recreational fisheries as coupled systems. Part II provides the foundations of various social science disciplines and highlights linkages and differences in the underlying theories and concepts used. Part III describes various qualitative and quantitative methods to study the social aspects of recreational fisheries in more detail, and Part IV suggests approaches to achieve standardisation and integration of different data streams, including how to link social and ecological data. The book chapters have been written by leading scholars of recreational fisheries science, involving social and economic scientists, political ecologists, and fisheries ecologists with a tradition in either applying human dimensions or working towards integration.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Understanding recreational fishers: Disciplinary and interdisciplinary approaches for fisheries management","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","usgsCitation":"Pope, K.L., Arlinghaus, R., Len M. Hunt, Lynch, A., and van Poorten, B.T., 2026, Preface, chap. of Understanding recreational fishers: Disciplinary and interdisciplinary approaches for fisheries management, p. vii-xi.","productDescription":"5 p.","startPage":"vii","endPage":"xi","ipdsId":"IP-161890","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":497589,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":497548,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/book/10.1007/978-3-031-99739-6"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pope, Kevin L. 0000-0003-1876-1687","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":270762,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"","middleInitial":"L.","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":952371,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arlinghaus, Robert","contributorId":364220,"corporation":false,"usgs":false,"family":"Arlinghaus","given":"Robert","affiliations":[],"preferred":false,"id":952372,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Len M. Hunt","contributorId":364221,"corporation":false,"usgs":false,"family":"Len M. Hunt","affiliations":[],"preferred":false,"id":952373,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lynch, Abigail J. 0000-0001-8449-8392","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":207361,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","middleInitial":"J.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":952374,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"van Poorten, Brett T.","contributorId":364222,"corporation":false,"usgs":false,"family":"van Poorten","given":"Brett","middleInitial":"T.","affiliations":[],"preferred":false,"id":952375,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70248239,"text":"70248239 - 2026 - Data standardization and management to facilitate large-scale and interdisciplinary approaches access","interactions":[],"lastModifiedDate":"2025-12-19T14:24:11.706798","indexId":"70248239","displayToPublicDate":"2025-12-15T08:21:37","publicationYear":"2026","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Data standardization and management to facilitate large-scale and interdisciplinary approaches access","docAbstract":"Bringing data related to recreational fishers and fisheries together across large scales can provide tremendous insight. Methods for collecting, analysing, and storing data can vary dramatically, which can have significant implications for the use of these data. Efforts to standardise data within organisations often increase the ability to compare datasets from different areas, monitor changes over time, and increase the utility of the data for management and research. Though employing standardised methodology and data architecture results in the most straightforward and robust opportunities for data integration, doing so may not be possible due to variation in data collection objectives, continuity with historical programs, and resource limitations. Additionally, managing data according to FAIR principles (findability, accessibility, interoperability, and reusability) helps support data sharing and large-scale research efforts. Key elements of integrable data include appropriate data structures, adequate documentation of methodology, interpretable and complete metadata, and accessible storage formats. We document the potential benefits of standardising data and offer example approaches. We also explore best practices regarding the formatting, storage, and transmission of recreational fisher data. Efforts to increase the level of standardisation and integrability of recreational fisher data can create opportunities to better understand fisher behaviour, needs, and fulfilment.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Understanding recreational fishers: Disciplinary and interdisciplinary approaches for fisheries management","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","doi":"10.1007/978-3-031-99739-6_24","usgsCitation":"Sievert, N.A., Krogman, R., and Embke, H.S., 2026, Data standardization and management to facilitate large-scale and interdisciplinary approaches access, chap. of Understanding recreational fishers: Disciplinary and interdisciplinary approaches for fisheries management, p. 747-782, https://doi.org/10.1007/978-3-031-99739-6_24.","productDescription":"36 p.","startPage":"747","endPage":"782","ipdsId":"IP-147843","costCenters":[{"id":65882,"text":"Midwest Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":498037,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/978-3-031-99739-6_24","text":"Publisher Index Page"},{"id":497762,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2025-12-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Sievert, Nicholas Allen 0000-0003-3160-7596","orcid":"https://orcid.org/0000-0003-3160-7596","contributorId":303032,"corporation":false,"usgs":true,"family":"Sievert","given":"Nicholas","email":"","middleInitial":"Allen","affiliations":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":882073,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krogman, Rebecca M.","contributorId":329368,"corporation":false,"usgs":false,"family":"Krogman","given":"Rebecca M.","affiliations":[{"id":24495,"text":"Iowa Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":882074,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Embke, Holly Susan 0000-0002-9897-7068","orcid":"https://orcid.org/0000-0002-9897-7068","contributorId":270754,"corporation":false,"usgs":true,"family":"Embke","given":"Holly","email":"","middleInitial":"Susan","affiliations":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":882075,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70273223,"text":"70273223 - 2026 - Multi-scale geophysical mapping of the brine and bedrock surfaces along the Dolores River, Paradox Valley, Colorado, December 2023","interactions":[],"lastModifiedDate":"2026-02-09T16:18:21.216938","indexId":"70273223","displayToPublicDate":"2025-12-12T09:32:25","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2850,"text":"Near Surface Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Multi-scale geophysical mapping of the brine and bedrock surfaces along the Dolores River, Paradox Valley, Colorado, December 2023","docAbstract":"Total dissolved solids derived from salt dome–sourced brine in the underlying alluvial aquifer substantially increase with distance in the reach of the Dolores River that passes through Paradox Valley in southwestern Colorado. The area has been the site of salinity control operations since the 1990s to reduce salt loading to the downstream Colorado River. Previous airborne and ground/water-based electromagnetic (EM) geophysical data have successfully mapped the top of the brine surface, albeit with relatively coarse near-surface resolution and limited spatial coverage. This present December 2023 study used ground-based high-resolution EM and passive seismic (horizontal-to-vertical spectral ratio, HVSR) tools to map in detail the depth and thickness of the brine zone in the alluvial aquifer (top of the brine down to bedrock contact) in areas immediately surrounding the Dolores River where previous airborne EM (AEM) results indicated brine within 10 m of land surface. Results indicate the deepest bedrock is generally associated with the shallowest brine and local depressions in the collapse breccia (caprock to the Paradox Formation salt) may facilitate vertical migration of brine into the alluvial aquifer. Additionally, the ground-based EM mapping corroborated general patterns in depth to brine that were observed in previous AEM results while also revealing additional detail, including suspected focused brine discharge zones to the Dolores River. A river-based survey wherein EM data, channel depth and river water–specific conductance information were collected augmented these findings and indicated specific areas on both the western and eastern sides of the river where focused brine discharge may occur. This study comprises a large-scale, ground- and water-based geophysical mapping effort, including hundreds of HVSR soundings and 100s of kilometres of EM data, which were successfully translated into digital brine and bedrock surfaces that could be incorporated into groundwater modelling efforts, future well siting or other decision-making.
","language":"English","publisher":"Wiley","doi":"10.1002/nsg.70032","usgsCitation":"Terry, N., Mast, M.A., Creighton, A.L., Homan, J.W., Newman, C.P., and Paschke, S.S., 2026, Multi-scale geophysical mapping of the brine and bedrock surfaces along the Dolores River, Paradox Valley, Colorado, December 2023: Near Surface Geophysics, v. 24, no. 1, p. 36-49, https://doi.org/10.1002/nsg.70032.","productDescription":"14 p.","startPage":"36","endPage":"49","ipdsId":"IP-171913","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":497869,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":498045,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nsg.70032","text":"Publisher Index Page"}],"country":"United States","state":"Colorado","otherGeospatial":"Dolores River, Paradox Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -108.932,\n 38.378\n ],\n [\n -108.932,\n 38.292\n ],\n [\n -108.797,\n 38.292\n ],\n [\n -108.797,\n 38.378\n ],\n [\n -108.932,\n 38.378\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"24","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-12-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Terry, Neil 0000-0002-3965-340X nterry@usgs.gov","orcid":"https://orcid.org/0000-0002-3965-340X","contributorId":192554,"corporation":false,"usgs":true,"family":"Terry","given":"Neil","email":"nterry@usgs.gov","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":952784,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mast, M. Alisa 0000-0001-6253-8162","orcid":"https://orcid.org/0000-0001-6253-8162","contributorId":211054,"corporation":false,"usgs":true,"family":"Mast","given":"M.","email":"","middleInitial":"Alisa","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952785,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Creighton, Andrea L. 0000-0003-3183-5396","orcid":"https://orcid.org/0000-0003-3183-5396","contributorId":268162,"corporation":false,"usgs":true,"family":"Creighton","given":"Andrea","email":"","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952786,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Homan, Joel William 0000-0002-6709-123X","orcid":"https://orcid.org/0000-0002-6709-123X","contributorId":315495,"corporation":false,"usgs":true,"family":"Homan","given":"Joel","email":"","middleInitial":"William","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952787,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Newman, Connor P. 0000-0002-6978-3440","orcid":"https://orcid.org/0000-0002-6978-3440","contributorId":222596,"corporation":false,"usgs":true,"family":"Newman","given":"Connor","email":"","middleInitial":"P.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952788,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Paschke, Suzanne S. 0000-0002-3471-4242 spaschke@usgs.gov","orcid":"https://orcid.org/0000-0002-3471-4242","contributorId":1347,"corporation":false,"usgs":true,"family":"Paschke","given":"Suzanne","email":"spaschke@usgs.gov","middleInitial":"S.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952789,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70273084,"text":"70273084 - 2026 - A time-space model of graphite mineral systems","interactions":[],"lastModifiedDate":"2026-03-23T14:05:12.786795","indexId":"70273084","displayToPublicDate":"2025-12-12T09:03:53","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2746,"text":"Mineralium Deposita","active":true,"publicationSubtype":{"id":10}},"title":"A time-space model of graphite mineral systems","docAbstract":"Increasing demand for graphite in energy storage systems warrants review of graphite ore genesis in a mineral systems framework. Orogenic graphite encompasses the metamorphic and orogenic mineral systems that produce flake graphite and hydrothermal vein (lump and chip) graphite deposits, respectively. A common feature of orogenic graphite deposits is an association with upper amphibolite- to granulite-facies metasedimentary rocks in continent-continent or continent-island arc collisional orogens. Orogenic flake graphite deposits form primarily through graphitization of organic carbon during regional metamorphism, but strain localization and partial melting of pelitic protoliths are likely important processes for graphite grade and quality enrichment. Orogenic vein graphite deposits precipitate from hydrothermal fluids, possibly derived from metamorphism or anatexis at depth. Decarbonation reactions in mixed calcareous-carbonaceous metasedimentary sequences are the most likely carbon sources for the veins. In contrast, intrusion-related graphite includes magmatic-hydrothermal and metamorphic mineral systems that form primarily in continental arc settings via the interaction of magmas with carbonaceous sedimentary packages. Magmatic-hydrothermal flake graphite deposits are hosted in plutonic and volcanic rocks, and result from the exsolution of CO2-CH4-rich fluids from melts contaminated by such packages. Contact metamorphism of carbonaceous sedimentary rocks by plutons produces some microcrystalline (amorphous) graphite deposits, including many in China. Compilation of geologic data from known graphite deposits globally suggests that pulses of carbon deposition in the Paleoproterozoic, Mesoproterozoic, and Neoproterozoic provided source carbon material. Subsequent supercontinent orogenesis at ca. 2,100 to 1,700 Ma (Columbia), ca. 1,300 to 1,000 Ma (Rodinia), and ca. 650 to 500 Ma (Gondwana) resulted in the genesis of orogenic flake and vein graphite deposits, where favorable geologic components overlapped with organic ± carbonate carbon-rich strata. Cryogenian deposition of graphite protoliths and Cryogenian – Cambrian metamorphic mineralization account for nearly 75% of all known resources globally and coincide with profound carbon isotope excursions and climate variability, implying a link with the global carbon budget. Comparatively few graphite deposits are associated with Pangea-forming orogens, attributed to less exhumation and/or denudation. High-temperature metasedimentary belts containing organic carbon-rich protoliths are most favorable for hosting orogenic flake graphite deposits, whereas sequences that also contain carbonate protoliths are favorable for orogenic graphite veins. Continent-scale orogenic belts may host both deposit types along with vanadium deposits. Use of a time-space mineral systems framework for graphite deposits can improve exploration models needed to ensure future supply of this critical mineral and provide insights into Earth’s long-term carbon cycle.
","language":"English","publisher":"Springer","doi":"10.1007/s00126-025-01412-5","usgsCitation":"Case, G.N., 2026, A time-space model of graphite mineral systems: Mineralium Deposita, v. 61, p. 783-810, https://doi.org/10.1007/s00126-025-01412-5.","productDescription":"28 p.","startPage":"783","endPage":"810","ipdsId":"IP-177742","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":497464,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":497697,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00126-025-01412-5","text":"Publisher Index Page"}],"volume":"61","noUsgsAuthors":false,"publicationDate":"2025-12-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Case, George N.D. 0000-0001-9826-5661 gcase@usgs.gov","orcid":"https://orcid.org/0000-0001-9826-5661","contributorId":224941,"corporation":false,"usgs":true,"family":"Case","given":"George","email":"gcase@usgs.gov","middleInitial":"N.D.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":952260,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70272975,"text":"70272975 - 2026 - Near-real-time geochemical monitoring of Hawaiian volcanoes using energy dispersive X-ray fluorescence (EDXRF)","interactions":[],"lastModifiedDate":"2025-12-11T15:16:09.263427","indexId":"70272975","displayToPublicDate":"2025-12-10T09:14:53","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Near-real-time geochemical monitoring of Hawaiian volcanoes using energy dispersive X-ray fluorescence (EDXRF)","docAbstract":"Syn-eruption geochemical monitoring during volcanic activity is an important component of integrated volcanic monitoring. Volcanoes on the Island of Hawai‘i are primarily monitored by the U.S. Geological Survey’s Hawaiian Volcano Observatory using instrumental networks, field surveys, satellite observations, and petrologic monitoring. In collaboration with the University of Hawaiʻi at Hilo, an important component of this monitoring is near-real-time (generally within 24 h of sample collection) bulk-rock geochemistry using benchtop energy-dispersive X-ray fluorescence (EDXRF). Bulk-rock geochemistry, coupled with additional petrologic and geophysical analyses, are used to track eruption dynamics to help facilitate identification and understanding of changes that signal the onset of potentially hazardous activity. In this paper, we present EDXRF methodology for bulk-rock analysis used to evaluate the 2018 Kīlauea and 2022 Mauna Loa eruptions and compare this technique to other geochemical methods. Syn-eruption geochemical monitoring using EDXRF provides reliable quantitative data that is important for understanding eruption dynamics. Critical to this process are calibrating the instrument for analysis over the same range of compositions expected during volcanic activity, compiling a relevant database from past eruptions on the same instrument for comparison, and having the physical infrastructure and trained personnel to complete the analyses in a timely fashion. In addition to the scientific goals of petrologic monitoring, near-real-time geochemical analysis in Hawaii provides important information about the nature of on-going eruptions and informs decision-makers and the public about associated evolving hazards.","language":"English","publisher":"Springer","doi":"10.1007/s00445-025-01922-0","collaboration":"University of Hawaii at Hilo","usgsCitation":"Lundblad, S.P., Mills, P.R., Lynn, K.J., Gallant, E., Gansecki, C., Decker, M., and Downs, D.T., 2026, Near-real-time geochemical monitoring of Hawaiian volcanoes using energy dispersive X-ray fluorescence (EDXRF): Bulletin of Volcanology, v. 88, 3, 14 p., https://doi.org/10.1007/s00445-025-01922-0.","productDescription":"3, 14 p.","ipdsId":"IP-178381","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":497324,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Island of Hawaii","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -155.8882322781885,\n 20.26160044658498\n ],\n [\n -155.90296253062945,\n 20.150973804305963\n ],\n [\n -155.85287967233023,\n 20.040347162026947\n ],\n [\n -156.06794135796804,\n 19.741160626622346\n ],\n [\n -155.92063883355857,\n 19.077085019596637\n ],\n [\n -155.64665613815683,\n 18.893225777095097\n ],\n [\n -155.34321293787335,\n 19.219018539658364\n ],\n [\n -155.0898525958889,\n 19.24405293863188\n ],\n [\n -154.80408569853452,\n 19.516401663871136\n ],\n [\n -155.01914738417236,\n 19.743933460087916\n ],\n [\n -155.22537091834573,\n 19.996058956481335\n ],\n [\n -155.8293112684247,\n 20.269891334854222\n ],\n [\n -155.8882322781885,\n 20.26160044658498\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"88","noUsgsAuthors":false,"publicationDate":"2025-12-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Lundblad, Steven P.","contributorId":363767,"corporation":false,"usgs":false,"family":"Lundblad","given":"Steven","middleInitial":"P.","affiliations":[{"id":37291,"text":"University of Hawaii at Hilo","active":true,"usgs":false}],"preferred":false,"id":951950,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mills, Peter R.","contributorId":363768,"corporation":false,"usgs":false,"family":"Mills","given":"Peter","middleInitial":"R.","affiliations":[{"id":37291,"text":"University of Hawaii at Hilo","active":true,"usgs":false}],"preferred":false,"id":951951,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lynn, Kendra J. 0000-0001-7886-4376","orcid":"https://orcid.org/0000-0001-7886-4376","contributorId":290327,"corporation":false,"usgs":true,"family":"Lynn","given":"Kendra","email":"","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":951952,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gallant, Elisabeth 0000-0001-6841-3694","orcid":"https://orcid.org/0000-0001-6841-3694","contributorId":339872,"corporation":false,"usgs":false,"family":"Gallant","given":"Elisabeth","affiliations":[{"id":81292,"text":"University of Hawaiʻi at Hilo","active":true,"usgs":false}],"preferred":false,"id":951953,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gansecki, Cheryl 0000-0001-5581-9097","orcid":"https://orcid.org/0000-0001-5581-9097","contributorId":215620,"corporation":false,"usgs":false,"family":"Gansecki","given":"Cheryl","email":"","affiliations":[{"id":36402,"text":"University of Hawaii","active":true,"usgs":false}],"preferred":false,"id":951954,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Decker, Meghann","contributorId":344515,"corporation":false,"usgs":false,"family":"Decker","given":"Meghann","affiliations":[{"id":82382,"text":"Research Corporation of the University of Hawai‘i","active":true,"usgs":false}],"preferred":false,"id":951955,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Downs, Drew T. 0000-0002-9056-1404 ddowns@usgs.gov","orcid":"https://orcid.org/0000-0002-9056-1404","contributorId":173516,"corporation":false,"usgs":true,"family":"Downs","given":"Drew","email":"ddowns@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":951956,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70273205,"text":"70273205 - 2026 - From sample to sonde to Sentinel-2: Insights from a multi-scale chlorophyll-a monitoring effort in the Hudson River, New York","interactions":[],"lastModifiedDate":"2025-12-19T14:48:05.059591","indexId":"70273205","displayToPublicDate":"2025-12-09T08:42:26","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"From sample to sonde to Sentinel-2: Insights from a multi-scale chlorophyll-a monitoring effort in the Hudson River, New York","docAbstract":"Monitoring cyanobacteria and other nuisance phytoplankton in the Hudson River is of great interest given its societal and ecological importance. Satellite remote sensing provides a cost-effective method to monitor chlorophyll-a (chl-a), a common proxy for algal biomass; however, the dynamic nature of rivers complicates approaches traditionally applied to lakes and oceans. During 2021–2023, we collected discrete samples for laboratory measurement of chl-a and measured in situ chl-a fluorescence during a series of longitudinal boat surveys along a 220-km reach of the lower Hudson River. Surveys were timed to coincide with Sentinel-2 satellite overpasses. We first investigated relations between laboratory-measured chl-a concentration and field-measured chl-a fluorescence, observing a weak correlation (r2 = 0.25) that improved substantially after splitting data by day (mean r2 = 0.53). Separately, to estimate chl-a fluorescence using satellite data, we developed a series of random forest models leveraging the rich fluorescence dataset collected. We tested three model types: individual day models, leave-one-out models trained on all days except a holdout test day, and a single pooled model trained on all days. Generally, individual day models exhibited lowest error (mean of mean absolute error [MAE] = 0.16 relative fluorescence units [RFU]), followed by the single pooled model (MAE = 0.22 RFU). Daily holdout models showed highest error (mean MAE = 0.40 RFU); this approach was intended to represent model performance on a day unseen in the training set, providing a more conservative estimate of performance than the more traditional pooled approach. Findings from both analyses emphasize the importance of considering temporal variability when modeling riverine systems.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s10661-025-14844-3","usgsCitation":"Salls, W.B., Welk, R., King, T.V., Scavotto, N., Gorney, R.M., Gifford, S.R., Stouder, M.D., Nystrom, E.A., and Graham, J.L., 2026, From sample to sonde to Sentinel-2: Insights from a multi-scale chlorophyll-a monitoring effort in the Hudson River, New York: Environmental Monitoring and Assessment, v. 198, 25, 30 p., https://doi.org/10.1007/s10661-025-14844-3.","productDescription":"25, 30 p.","ipdsId":"IP-176108","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":498038,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10661-025-14844-3","text":"Publisher Index Page"},{"id":497763,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey, New York","otherGeospatial":"Hudson River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -73.53385971301769,\n 42.80598359016898\n ],\n [\n -74.21892882912005,\n 42.80598359016898\n ],\n [\n -74.21892882912005,\n 40.6507605560374\n ],\n [\n -73.53385971301769,\n 40.6507605560374\n ],\n [\n -73.53385971301769,\n 42.80598359016898\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"198","noUsgsAuthors":false,"publicationDate":"2025-12-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Salls, Wilson Barg 0000-0001-7505-0828","orcid":"https://orcid.org/0000-0001-7505-0828","contributorId":364473,"corporation":false,"usgs":true,"family":"Salls","given":"Wilson","middleInitial":"Barg","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952701,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welk, Robert J. 0000-0003-0852-5584","orcid":"https://orcid.org/0000-0003-0852-5584","contributorId":202876,"corporation":false,"usgs":true,"family":"Welk","given":"Robert J.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":952702,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"King, Tyler V. 0000-0002-5785-3077","orcid":"https://orcid.org/0000-0002-5785-3077","contributorId":292424,"corporation":false,"usgs":true,"family":"King","given":"Tyler","middleInitial":"V.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952703,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scavotto, Natasha 0000-0002-0853-5355","orcid":"https://orcid.org/0000-0002-0853-5355","contributorId":362140,"corporation":false,"usgs":true,"family":"Scavotto","given":"Natasha","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952704,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gorney, Rebecca Michelle 0000-0003-4406-261X","orcid":"https://orcid.org/0000-0003-4406-261X","contributorId":317259,"corporation":false,"usgs":true,"family":"Gorney","given":"Rebecca","email":"","middleInitial":"Michelle","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952705,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gifford, Sabina R. 0000-0002-0724-4986","orcid":"https://orcid.org/0000-0002-0724-4986","contributorId":310415,"corporation":false,"usgs":true,"family":"Gifford","given":"Sabina","email":"","middleInitial":"R.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952706,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stouder, Michael D.W. 0000-0002-0446-2574","orcid":"https://orcid.org/0000-0002-0446-2574","contributorId":301805,"corporation":false,"usgs":true,"family":"Stouder","given":"Michael","middleInitial":"D.W.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952707,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nystrom, Elizabeth A. 0000-0002-0886-3439 nystrom@usgs.gov","orcid":"https://orcid.org/0000-0002-0886-3439","contributorId":1072,"corporation":false,"usgs":true,"family":"Nystrom","given":"Elizabeth","email":"nystrom@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952708,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":202923,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer","email":"jlgraham@usgs.gov","middleInitial":"L.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":952709,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70273145,"text":"70273145 - 2026 - Growth of a passive lava lake during the 2020–2021 eruption of Kīlauea volcano, Hawaii","interactions":[],"lastModifiedDate":"2025-12-16T16:06:00.176799","indexId":"70273145","displayToPublicDate":"2025-12-05T10:01:09","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Growth of a passive lava lake during the 2020–2021 eruption of Kīlauea volcano, Hawaii","docAbstract":"We investigate the growth of a passive lava lake in Halemaʻumaʻu crater during the December 2020 to May 2021 eruption of Kīlauea volcano, Hawaii. Fed by vents above their surfaces, the formation of passive lava lakes in topographic lows is an important process in the growth of basaltic volcanoes. We captured visible and thermal images during 17 helicopter overflights and applied structure-from-motion photogrammetry to create digital elevation models and orthomosaics of Halemaʻumaʻu. These data products allowed us to track eruptive activity and processes. The bulk time-averaged discharge rate (TADR) in December 2020 initially exceeded 100 m3 s–1 but decreased to < 10 m3 s–1 within seven days. By February 2021, TADR was < 2 m3 s–1 and continued to decrease until the eruption ended in May 2021. A total volume of 40.6 ± 0.5 × 106 m3 of lava filled Halemaʻumaʻu to a depth of 225 m. As TADR decreased, the lake progressively developed an immobile, solidified crust, beginning with surfaces farthest from the vent. This immobile surface rose endogenously, whereas exogenous surface rise occurred near the vent. Eruptive activity at a vent ended when the level of the lake surface exceeded that of the vent, which we attribute to the effects of lava sitting above the vent on ascending magma. Regular helicopter overflights, combined with field observations and the extensive monitoring network at Kīlauea, generated an unprecedented density of observations that provide insights into the emplacement of passive lava lakes and how these eruptions wane and end.
","language":"English","publisher":"Springer","doi":"10.1007/s00445-025-01867-4","usgsCitation":"Carr, B.B., Patrick, M.R., Dietterich, H., Zoeller, M.H., Parcheta, C., Downs, D.T., Nadeau, P.A., and Hamilton, C., 2026, Growth of a passive lava lake during the 2020–2021 eruption of Kīlauea volcano, Hawaii: Bulletin of Volcanology, v. 88, 1, 17 p., https://doi.org/10.1007/s00445-025-01867-4.","productDescription":"1, 17 p.","ipdsId":"IP-172169","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":497575,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -155.3996270560572,\n 19.406817847190297\n ],\n [\n -155.44193382668337,\n 19.153764121714516\n ],\n [\n -155.2427073977343,\n 19.256567923381994\n ],\n [\n -155.10309505466768,\n 19.277262673850416\n ],\n [\n -154.8692547206449,\n 19.417337433002288\n ],\n [\n -154.79848703159735,\n 19.493855712612287\n ],\n [\n -154.80925602775673,\n 19.535907238422254\n ],\n [\n -154.9434838727438,\n 19.60983335285802\n ],\n [\n -155.3996270560572,\n 19.406817847190297\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"88","noUsgsAuthors":false,"publicationDate":"2025-12-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Carr, Brett B. 0000-0002-1033-3082","orcid":"https://orcid.org/0000-0002-1033-3082","contributorId":305984,"corporation":false,"usgs":true,"family":"Carr","given":"Brett","email":"","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":952442,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patrick, Matthew R. 0000-0002-8042-6639 mpatrick@usgs.gov","orcid":"https://orcid.org/0000-0002-8042-6639","contributorId":2070,"corporation":false,"usgs":true,"family":"Patrick","given":"Matthew","email":"mpatrick@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":952443,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dietterich, Hannah R. 0000-0001-7898-4343","orcid":"https://orcid.org/0000-0001-7898-4343","contributorId":212771,"corporation":false,"usgs":true,"family":"Dietterich","given":"Hannah R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":952444,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zoeller, Michael H. 0000-0003-4716-8567","orcid":"https://orcid.org/0000-0003-4716-8567","contributorId":214557,"corporation":false,"usgs":true,"family":"Zoeller","given":"Michael","email":"","middleInitial":"H.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":952445,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Parcheta, Carolyn 0000-0001-6556-4630 cparcheta@usgs.gov","orcid":"https://orcid.org/0000-0001-6556-4630","contributorId":215617,"corporation":false,"usgs":true,"family":"Parcheta","given":"Carolyn","email":"cparcheta@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":952446,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Downs, Drew T. 0000-0002-9056-1404 ddowns@usgs.gov","orcid":"https://orcid.org/0000-0002-9056-1404","contributorId":173516,"corporation":false,"usgs":true,"family":"Downs","given":"Drew","email":"ddowns@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":952447,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nadeau, Patricia A. 0000-0002-6732-3686","orcid":"https://orcid.org/0000-0002-6732-3686","contributorId":215616,"corporation":false,"usgs":true,"family":"Nadeau","given":"Patricia","email":"","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":952448,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hamilton, Christoper","contributorId":189479,"corporation":false,"usgs":false,"family":"Hamilton","given":"Christoper","email":"","affiliations":[],"preferred":false,"id":952449,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70273455,"text":"70273455 - 2026 - Groundwater salinity: Applying the specific conductance and water type proxy","interactions":[],"lastModifiedDate":"2026-03-23T14:34:26.123834","indexId":"70273455","displayToPublicDate":"2025-12-05T08:25:34","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater salinity: Applying the specific conductance and water type proxy","docAbstract":"Groundwater is increasingly needed for water supplies but may have limited utility in some locations because of its salinity. Salinity, often expressed as total dissolved solid (TDS), is frequently estimated using specific conductance (SC) measurements. However, the commonly used proxy (0.65 multiplied by SC to indicate TDS, common in many handheld meters) can result in inaccurate TDS estimates. First, the TDS–SC relationship is not linear over the entire concentration range of groundwater. Furthermore, the TDS (and salinity)–SC relationships vary substantially depending on the major-ion composition. Here we develop a proxy method utilizing SC and major-ion water type to estimate TDS and salinity specifically for groundwaters. Compared to most surface waters, groundwater tends to have a wider range of salinity (fresh to highly saline) and higher concentrations of bedrock-derived solutes such as carbonate ions, silica, and many other ions. The dataset used to develop the proxies includes water chemistry data from 149,059 discrete groundwater samples. The groundwater proxies, which employ nonlinear log–log relations, utilize five water types (HCO3, Cl, Ca-Mg-SO4, Na-K-SO4, and mixed waters), are accurate (median percent difference between TDS and salinity determined using the proxy compared to discrete measurements was <±0.8%) over a wide range of SC (up to 200 mS/cm), rapid, cost-effective, and can be measured on-site.
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Blaine 0000-0002-2521-8052","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":205663,"corporation":false,"usgs":true,"family":"McCleskey","given":"R. Blaine","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":953765,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cravotta, Charles A. III 0000-0003-3116-4684","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":338312,"corporation":false,"usgs":false,"family":"Cravotta","given":"Charles A.","suffix":"III","affiliations":[{"id":81112,"text":"Cravotta Geochemical Consulting","active":true,"usgs":false}],"preferred":false,"id":953766,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Knierim, Katherine J. 0000-0002-5361-4132 kknierim@usgs.gov","orcid":"https://orcid.org/0000-0002-5361-4132","contributorId":191788,"corporation":false,"usgs":true,"family":"Knierim","given":"Katherine","email":"kknierim@usgs.gov","middleInitial":"J.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953767,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stackelberg, Paul E. 0000-0002-1818-355X","orcid":"https://orcid.org/0000-0002-1818-355X","contributorId":204864,"corporation":false,"usgs":true,"family":"Stackelberg","given":"Paul","middleInitial":"E.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":953768,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Killian, Courtney D. 0000-0002-2137-2722","orcid":"https://orcid.org/0000-0002-2137-2722","contributorId":213990,"corporation":false,"usgs":true,"family":"Killian","given":"Courtney","email":"","middleInitial":"D.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953769,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273093,"text":"70273093 - 2026 - Restoring the Florida Everglades: Insights on integrating sea level rise into decision-support tools","interactions":[],"lastModifiedDate":"2025-12-15T15:39:54.921371","indexId":"70273093","displayToPublicDate":"2025-12-02T09:35:55","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Restoring the Florida Everglades: Insights on integrating sea level rise into decision-support tools","docAbstract":"Although coastal ecosystems are impacted by climate change and sea-level rise, many ecological and hydrological models do not yet incorporate sea-level rise projections in their modeling outputs. Therefore, this research examined the various challenges that may prevent sea-level rise from being effectively incorporated in modeling and decision-support tools. We conducted semi-structured interviews with twenty-six professionals involved in Florida’s Everglades restoration. We applied the Diffusions of Innovations Theory to better understand factors that can impact practitioners’ adoption of newly designed decision-support tools that examine sea-level rise in the freshwater Everglades. The Diffusions of Innovations Theory provided insights into practitioners’ perceptions of these tools. We found that these practitioners have a strong interest in using dynamic decision-support tools to plan for sea-level rise impacts on Everglades restoration, particularly when they receive information at appropriate geographic and temporal scales and are given hands-on tools and training. However, challenges that prevent developing these tools include outdated data, limited organizational capacity and funding, limited use of long-term indicators, uncertainty about climate change impacts on local ecosystems, and lack of integration between hydrological and ecological models. Our research also highlights that greater availability of different types of tools can help to meet the needs of the scientific and non-scientific audiences involved in Everglades restoration.
","language":"English","publisher":"Springer","doi":"10.1007/s00267-025-02320-0","usgsCitation":"Castellano, S., Clarke, M., D’Acunto, L., Romanach, S., and Cadaval, S., 2026, Restoring the Florida Everglades: Insights on integrating sea level rise into decision-support tools: Environmental Management, v. 76, 28, 16 p., https://doi.org/10.1007/s00267-025-02320-0.","productDescription":"28, 16 p.","ipdsId":"IP-178284","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":497721,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00267-025-02320-0","text":"Publisher Index Page"},{"id":497522,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -81.69704710537333,\n 26.24594963141459\n ],\n [\n -81.83007585797539,\n 26.06420285323432\n ],\n [\n -81.11975251860886,\n 25.0512667434422\n ],\n [\n -80.33663986178148,\n 25.19217542692222\n ],\n [\n -80.18604127393009,\n 26.735626731938453\n ],\n [\n -81.69704710537333,\n 26.24594963141459\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"76","noUsgsAuthors":false,"publicationDate":"2025-12-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Castellano, Stephanie","contributorId":353362,"corporation":false,"usgs":false,"family":"Castellano","given":"Stephanie","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":952300,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clarke, Mysha","contributorId":353361,"corporation":false,"usgs":false,"family":"Clarke","given":"Mysha","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":952301,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"D’Acunto, Laura 0000-0001-6227-0143","orcid":"https://orcid.org/0000-0001-6227-0143","contributorId":215343,"corporation":false,"usgs":true,"family":"D’Acunto","given":"Laura","email":"","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":952302,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Romañach, Stephanie S. 0000-0003-0271-7825","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":213745,"corporation":false,"usgs":true,"family":"Romañach","given":"Stephanie","middleInitial":"S.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":952303,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cadaval, Stephanie","contributorId":364187,"corporation":false,"usgs":false,"family":"Cadaval","given":"Stephanie","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":952304,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70272792,"text":"70272792 - 2026 - Trophic assessment of potential competition between invasive cichlids and sport fish in Puerto Rico reservoirs","interactions":[],"lastModifiedDate":"2026-02-09T16:15:17.311951","indexId":"70272792","displayToPublicDate":"2025-11-26T08:39:51","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Trophic assessment of potential competition between invasive cichlids and sport fish in Puerto Rico reservoirs","docAbstract":"Objective
Several species of New World cichlids have recently invaded reservoirs in Puerto Rico, potentially jeopardizing established recreationally important, albeit nonnative, sport fish populations. Interactions between invasive species and important sport fish must be understood so that they can be mitigated when feasible. This study compared monthly prey consumption between three invasive cichlids (Jaguar Guapote Parachromis managuensis and two species of Amphilophus) and two principal sport fishes (Largemouth Bass Micropterus nigricans and Butterfly Peacock Bass Cichla ocellaris) to understand potential for competitive interactions.
Methods
Stomach contents were evaluated quarterly using gastric lavage for sport fish and destructive sampling techniques for invasive species. Prey proportion by mass was calculated for each individual, and mean prey proportion by mass was calculated for each species by reservoir, month, and overall. Multivariate hypothesis testing using permutational multivariate analysis of variance and visualization of potential diet overlap were performed via analysis of variance and nonmetric multidimensional scaling (NMDS), respectively.
Results
Fish were the most common prey type, and Threadfin Shad Dorosoma petenense was the most prevalent prey species. Although there were significant differences in diets of invasive cichlids and sport fishes (P < 0.01), there also was considerable overlap based on low percentages of variation in diets explained by species (3–19% < pseudo-R2) and NMDS visualizations. Diets varied little across reservoirs and months (≤4% pseudo-R2; high overlap in NMDS space).
Conclusion
These data indicate that the diet of Jaguar Guapote and Amphilophus spp. may overlap with that of sport fish populations in Puerto Rico. Jaguar Guapote relied on Threadfin Shad more than other species, with Amphilophus spp. relying more on detritus and noncrayfish invertebrates. Thus, if prey are limited, Jaguar Guapote may have a more direct effect via competition for prey. Finally, we report evidence of Largemouth Bass recruitment failure and local extirpations that support a hypothesis that invasive cichlids are having negative effects on at least Largemouth Bass, although the mechanism is unclear.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/najfmt/vqaf112","usgsCitation":"Neal, J.W., Moreland, J.A., Dunn, C.G., and Allen, P.J., 2026, Trophic assessment of potential competition between invasive cichlids and sport fish in Puerto Rico reservoirs: North American Journal of Fisheries Management, v. 46, no. 1, p. 139-147, https://doi.org/10.1093/najfmt/vqaf112.","productDescription":"9 p.","startPage":"139","endPage":"147","ipdsId":"IP-179686","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":497281,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Puerto Rico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -67.31283547050414,\n 18.595138471481363\n ],\n [\n -67.31283547050414,\n 17.867364144121026\n ],\n [\n -65.18239183705461,\n 17.867364144121026\n ],\n [\n -65.18239183705461,\n 18.595138471481363\n ],\n [\n -67.31283547050414,\n 18.595138471481363\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"46","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-11-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Neal, J. 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Genetic data are used as a tool to monitor populations and make management decisions for this game species. However, the development and use of genomic tools that can generate a set of markers suitable for longitudinal genomic data collection, whether for management purposes or to study the demographic and evolutionary processes of widely distributed species, have been challenging. This is mainly due to the cost required to fully implement and interpret the data produced. Here, we generated whole genome resequencing data for 44 free-ranging deer from three regions in their central and eastern North American range and identified over 89 million single nucleotide polymorphisms (SNPs). We used a subset of these SNPs to develop two nested SNP tools, a high-density array (702,183 SNPs) and a medium-density array (72,723 SNPs) to support deer and chronic wasting disease (CWD) management and research. SNPs were selected to ensure an even distribution across scaffolds of the reference genome and include SNPs associated with CWD susceptibility. Using genotyping results for 469 deer from 15 states in the US and Mexico generated by the high-density array and 1335 deer from 18 states generated by the medium-density array, we assessed genotyping success across different populations and explored some insights into population structure. These genomic tools offer a standard set of markers that will enable researchers and managers to address important questions related to white-tailed deer and CWD management. Our SNP arrays also offer the opportunity to examine aspects of white-tailed deer ecology and evolutionary history that were previously difficult to address.
","language":"English","publisher":"Wiley","doi":"10.1111/1755-0998.70085","usgsCitation":"Navarro, D., Latch, E.K., Tallon, A.K., Ott-Conn, C.N., DeYoung, R.W., Walsh, D.P., Euclide, P.T., Chandika, R., Larson, W.A., Seetharam, A.S., Severin, A.J., Severin, A.J., Reecy, J.M., Hu, Z., Cantrell, J.R., Carstensen, M., Caudell, J.N., Killmaster, C.H., Lockwood, M.L., McKinley, W.T., Norton, A.S., Schuler, K.L., Storm, D.J., Sumners, J.A., Walter, W., Blanchong, J.A., 2026, Development of high-throughput genomic resources to inform white-tailed deer population and disease management: Molecular Ecology Resources, v. 26, no. 1, e70085, 16 p., https://doi.org/10.1111/1755-0998.70085.","productDescription":"e70085, 16 p.","ipdsId":"IP-179449","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500827,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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K.","contributorId":366662,"corporation":false,"usgs":false,"family":"Tallon","given":"Anaïs","middleInitial":"K.","affiliations":[{"id":7200,"text":"University of Wisconsin-Milwaukee","active":true,"usgs":false}],"preferred":false,"id":956141,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ott-Conn, Caitlin N.","contributorId":366663,"corporation":false,"usgs":false,"family":"Ott-Conn","given":"Caitlin","middleInitial":"N.","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":956142,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeYoung, Randy W.","contributorId":366664,"corporation":false,"usgs":false,"family":"DeYoung","given":"Randy","middleInitial":"W.","affiliations":[{"id":13724,"text":"Texas A&M University-Kingsville","active":true,"usgs":false}],"preferred":false,"id":956143,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Walsh, Daniel P. 0000-0002-7772-2445","orcid":"https://orcid.org/0000-0002-7772-2445","contributorId":219539,"corporation":false,"usgs":true,"family":"Walsh","given":"Daniel","email":"","middleInitial":"P.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":956144,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Euclide, Peter T.","contributorId":366675,"corporation":false,"usgs":false,"family":"Euclide","given":"Peter","middleInitial":"T.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":956145,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chandika, R.G.","contributorId":366676,"corporation":false,"usgs":false,"family":"Chandika","given":"R.G.","affiliations":[{"id":7200,"text":"University of 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University","active":true,"usgs":false}],"preferred":false,"id":956149,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Severin, Andrew J.","contributorId":366680,"corporation":false,"usgs":false,"family":"Severin","given":"Andrew","middleInitial":"J.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":956150,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Reecy, James M.","contributorId":366681,"corporation":false,"usgs":false,"family":"Reecy","given":"James","middleInitial":"M.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":956151,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Hu, Zhi-Liang","contributorId":366682,"corporation":false,"usgs":false,"family":"Hu","given":"Zhi-Liang","affiliations":[{"id":6911,"text":"Iowa State 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Resources","active":true,"usgs":false}],"preferred":false,"id":956161,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Sumners, Jason A.","contributorId":366709,"corporation":false,"usgs":false,"family":"Sumners","given":"Jason","middleInitial":"A.","affiliations":[{"id":16971,"text":"Missouri Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":956162,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Walter, W. David 0000-0003-3068-1073","orcid":"https://orcid.org/0000-0003-3068-1073","contributorId":219540,"corporation":false,"usgs":true,"family":"Walter","given":"W. David","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":956163,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Blanchong, Julie A.","contributorId":6030,"corporation":false,"usgs":false,"family":"Blanchong","given":"Julie","email":"","middleInitial":"A.","affiliations":[{"id":13018,"text":"Department of Forest and Wildlife Ecology, University of Wisconsin, Madison","active":true,"usgs":false}],"preferred":false,"id":956332,"contributorType":{"id":1,"text":"Authors"},"rank":26}]}} ,{"id":70272969,"text":"70272969 - 2026 - How high? Identifying elevation thresholds to guide coastal marsh restoration","interactions":[],"lastModifiedDate":"2026-01-22T16:39:47.867425","indexId":"70272969","displayToPublicDate":"2025-11-24T07:58:37","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"How high? Identifying elevation thresholds to guide coastal marsh restoration","docAbstract":"Introduction
Coastal marshes are highly valuable ecosystems facing threats from rising sea levels and intensifying storm events. To elevate marsh surfaces and prevent loss of ecosystem services, the beneficial use of dredged material (BUDM) is increasingly being implemented across the United States.
Objectives
The objective of this study was to aid decision-makers and restoration practitioners by identifying elevation thresholds that control the optimal function of Spartina patens-dominated marshes along the Texas Coast.
Methods
This study was conducted in the coastal marshes of the J.D. Murphree Wildlife Management Area (Texas). We collected elevation and vegetation cover data along ecological transition zones in marshes nourished with BUDM to identify elevation thresholds that define zones of optimal plant survivorship and growth.
Results
We identified lower (−0.05 m mean high water, MHW) and upper (0.26 m MHW) elevation thresholds that defined transitions to open water and unvegetated bare ground, respectively. Elevation targets (T) and elevation target zones, which defined areas with the greatest vegetation cover, were determined for S. patens (T: 0.11 m, target zone: −0.06 to 0.26 m MHW), S. alterniflora (T: 0.00 m, target zone: −0.12 to 0.10 m MHW), and Distichlis spicata (T: 0.17 m, target zone: 0.07–0.25 m MHW).
Conclusions
Our analyses provide species-specific elevation targets for coastal marsh restoration through BUDM, which can improve restoration outcomes for coastal wetlands.
","language":"English","publisher":"Society for Ecological Restoration","doi":"10.1111/rec.70232","usgsCitation":"Fromenthal, E.N., Stagg, C.L., Moon, J.A., Abshier, T., Alawneh, O., Cadigan, J.A., Gallegos, D.A., Harris, B.D., Hurst, N.R., Jafari, N.H., Merendino, T., Nelson, M.R., Osland, M.J., Pauling, P., Rezsutek, M., Sanspree, C.R., and Villani, R.K., 2026, How high? Identifying elevation thresholds to guide coastal marsh restoration: Restoration Ecology, v. 34, no. 1, e70232, 11 p., https://doi.org/10.1111/rec.70232.","productDescription":"e70232, 11 p.","ipdsId":"IP-176516","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":497382,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/rec.70232","text":"Publisher Index Page"},{"id":497323,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"J.D. Murphree Wildlife Management Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -95.16372427589603,\n 29.864573785630768\n ],\n [\n -95.16372427589603,\n 29.388146335695794\n ],\n [\n -94.43439840716935,\n 29.388146335695794\n ],\n [\n -94.43439840716935,\n 29.864573785630768\n ],\n [\n -95.16372427589603,\n 29.864573785630768\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"34","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-11-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Fromenthal, Emily N. 0009-0007-6043-7537","orcid":"https://orcid.org/0009-0007-6043-7537","contributorId":334303,"corporation":false,"usgs":false,"family":"Fromenthal","given":"Emily","middleInitial":"N.","affiliations":[{"id":80112,"text":"Cherokee Nationa System Solutions contractor in support of U.S. Geological Survey, Wetland and Aquatic 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Minnesota, St. Paul, MN","active":true,"usgs":false}],"preferred":false,"id":951936,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Osland, Michael J. 0000-0001-9902-8692","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":213400,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":951937,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Pauling, Philip","contributorId":363754,"corporation":false,"usgs":false,"family":"Pauling","given":"Philip","affiliations":[{"id":27442,"text":"Texas parks and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":951938,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Rezsutek, 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fault—crossing both the Richardson Highway and the Alaska Pipeline. Its occurrence prompted renewed interest in historical large earthquakes that possibly originated on the Denali fault. One of these earthquakes was a Ms 7.2 event on July 7, 1912, which we revisit with two approaches: (1) probabilistic relocation of the epicenter using globally recorded arrival times, and (2) compilation and reassessment of shaking intensity reports to estimate a macroseismic epicenter. Our preferred instrumental epicenter is west of the Parks Highway and in agreement with the maximum‐reported shaking, which was from the Parker–Browne expedition of Denali. We also relocated a Ms 6.4 aftershock, whose epicenter is 11 km from the mainshock. Candidate faults for the 1912 earthquake include the Denali fault, the McLeod Creek thrust fault, and the Kantishna Hills thrust fault. Future analysis of active faults, paleoseismic results, 1912 instrumental data, and 1912 felt reports may help in interpreting the fault and mechanism of the 1912 earthquake.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120250150","usgsCitation":"Tape, C., Aquino-Lopez, M., Bemis, S., Haeussler, P., and Ginnaty, J., 2026, The 1912 Ms 7.2 earthquake in the Denali region of central Alaska: Bulletin of the Seismological Society of America, v. 116, no. 1, p. 322-354, https://doi.org/10.1785/0120250150.","productDescription":"33 p.","startPage":"322","endPage":"354","ipdsId":"IP-182077","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":498617,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":498703,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0120250150","text":"Publisher Index Page"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -169.43690719365998,\n 66.58359872082357\n ],\n [\n -169.43690719365998,\n 53.57022459464301\n ],\n [\n -130.19988331357695,\n 53.57022459464301\n ],\n [\n -130.19988331357695,\n 66.58359872082357\n ],\n [\n -169.43690719365998,\n 66.58359872082357\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"116","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-11-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Tape, Carl","contributorId":219960,"corporation":false,"usgs":false,"family":"Tape","given":"Carl","email":"","affiliations":[{"id":40098,"text":"Geophysical Institute, 2156 Koyukuk Drive, University of Alaska Fairbanks, Fairbanks, AK 99775","active":true,"usgs":false}],"preferred":false,"id":953755,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aquino-Lopez, Marco","contributorId":331553,"corporation":false,"usgs":false,"family":"Aquino-Lopez","given":"Marco","affiliations":[],"preferred":false,"id":953756,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bemis, Sean","contributorId":175460,"corporation":false,"usgs":false,"family":"Bemis","given":"Sean","affiliations":[{"id":27572,"text":"UK","active":true,"usgs":false}],"preferred":false,"id":953757,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haeussler, Peter J. 0000-0002-1503-6247","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":219956,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter J.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":953758,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ginnaty, Jessalyn","contributorId":365145,"corporation":false,"usgs":false,"family":"Ginnaty","given":"Jessalyn","affiliations":[{"id":7211,"text":"University of Alaska, Fairbanks","active":true,"usgs":false}],"preferred":false,"id":953759,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273676,"text":"70273676 - 2026 - Revised length categories and standard weight equation for Northern Pikeminnow","interactions":[],"lastModifiedDate":"2026-02-09T16:26:34.310994","indexId":"70273676","displayToPublicDate":"2025-11-19T07:58:06","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Revised length categories and standard weight equation for Northern Pikeminnow","docAbstract":"Objective
Length and weight indices (e.g., proportional size distribution, relative weight) provide standardized benchmarks that are useful for comparing groups of fish, identifying ecological interactions, and evaluating the effect of management actions. However, the current length categories and standard weight (Ws) equation for Northern Pikeminnow Ptychocheilus oregonensis, a species of important management focus in the Pacific Northwest, were developed using limited data, unclear methods, and no validation. As such, we sought to revise the length categories and Ws equation for Northern Pikeminnow.
Methods
We used the all-tackle world record to develop length categories for Northern Pikeminnow. We compiled data from 100,663 Northern Pikeminnow from 114 populations in Idaho, Montana, Oregon, Washington, and British Columbia to develop a revised Ws equation. Most fish were measured in fork length (FL), so we converted total lengths (TLs) to FLs using the equation TL = −2.301 + 0.916(FL); r2 = 0.998. We used the regression line percentile, linear empirical percentile (EmP), and quadratic EmP methods to develop 50th percentile and 75th percentile Ws equations. We then assessed length-related biases in our Ws equations and the previously published equation.
Results
We propose minimum FLs of 17 cm (7 inches; stock), 26 cm (10 inches; quality), 35 cm (14 inches; preferred), 41 cm (16 inches; memorable), and 51 cm (20 inches; trophy) for proportional size distribution calculations. The previously published Ws equation exhibited substantial length-related biases according to the Willis and weighted empirical quartile method tests. The EmP 50th-percentile Ws equation was the only equation that we evaluated that did not exhibit length-related bias. The EmP 50th-percentile Ws equation was the best performing equation (i.e., no length-related bias detected). The equation is log10(Ws) = −5.258 + 3.135(FL), where Ws is in grams and FL is in millimeters. The equation is valid for Northern Pikeminnow 90–580 mm FL.
Conclusion
The length categories, length conversion, and Ws equation presented here will aid fisheries professionals in the study and management of Northern Pikeminnow populations.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/najfmt/vqaf098","usgsCitation":"Voss, N.S., and Quist, M.C., 2026, Revised length categories and standard weight equation for Northern Pikeminnow: North American Journal of Fisheries Management, v. 46, no. 1, p. 259-268, https://doi.org/10.1093/najfmt/vqaf098.","productDescription":"10 p.","startPage":"259","endPage":"268","ipdsId":"IP-177544","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":498831,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"British Columbia, Idaho, Montana, Oregon Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -138.4324395813577,\n 59.93550068574072\n ],\n [\n -124.59147799532579,\n 48.218313763848954\n ],\n [\n -124.44719667247625,\n 42.02251544705595\n ],\n [\n -111.25221612249314,\n 42.02213493751374\n ],\n [\n -111.51121202805528,\n 44.67068539388384\n ],\n [\n -104.24225388242749,\n 45.10223423645201\n ],\n [\n -103.92744104084073,\n 48.83423714465319\n ],\n [\n -113.58199201609347,\n 49.298105422493\n ],\n [\n -118.8005677418272,\n 53.905347228735906\n ],\n [\n -119.63389382864163,\n 59.938025103368716\n ],\n [\n -138.4324395813577,\n 59.93550068574072\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"46","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-11-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Voss, Nicholas S.","contributorId":241654,"corporation":false,"usgs":false,"family":"Voss","given":"Nicholas","middleInitial":"S.","affiliations":[{"id":48382,"text":"KBR, Albuquerque Seismological Laboratory","active":true,"usgs":false}],"preferred":false,"id":954283,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quist, Michael C. 0000-0001-8268-1839","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":207142,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":954284,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70272762,"text":"70272762 - 2026 - Phylogenomics of endangered troglobiotic rove beetles (Coleoptera: Staphylinidae: Pselaphinae) from central Texas karst regions","interactions":[],"lastModifiedDate":"2025-12-09T14:19:48.043829","indexId":"70272762","displayToPublicDate":"2025-11-18T08:45:24","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Phylogenomics of endangered troglobiotic rove beetles (Coleoptera: Staphylinidae: Pselaphinae) from central Texas karst regions","docAbstract":"The karst habitats of central Texas, USA, are home to an array of endemic subterranean-obligate (troglobiotic) invertebrates. This includes several species of rove beetles (Coleoptera: Staphylinidae: Pselaphinae). Here we developed a molecular dataset using sequence capture of Ultra-Conserved Elements (UCEs) from the Coleoptera-UCE-1.1 K v1 baits kit. These data were used to assess species relationships and patterns of diversification in this group, specifically among species within the genera Batrisodes Reitter 1882 and Texamaurops Barr and Steeves 1963; with a specific focus on the relationships of the federally listed as endangered B. texanus Chandler 1992 and B.cryptotexanus Chandler and Reddell 2001. Our final datasets consisted of 69 individuals (two genera, Batrisodes [five species] and Texamaurops [one species], from 34 localities), and a molecular dataset of 658,560 aligned base pairs across 672 UCE loci. Concatenated and species-tree phylogenetic analyses resolved all troglobiotic taxa as a monophyletic group. Within the Travis and Williamson County troglobionts, we recovered four well-supported clades that generally follow hypothesized geologic barriers to dispersal formalized as karst fauna regions (KFRs). A northward pattern of diversification was observed among these groups: (A) Texamaurops reddelli Barr and Steeves 1963 (Jollyville Plateau KFR); (B) Batrisodes reyesi Chandler 1997 (West Cedar Park and Post Oak Ridge KFRs); (C) B. reyesi (McNeil-Round Rock KFR); (D) B. cryptotexanus + B. texanus (Georgetown and North Williamson KFRs). The morphologically defined Batrisodes texanus and B. cryptotexanus were not reciprocally monophyletic, nor clustered into two unique groups in clustering analyses of single nucleotide polymorphisms (SNPs). Rather, we found support for five major subclades and five to seven genetic clusters. These results suggest that diversification and subsequent isolation of clades may have occurred with the progressive availability of karst habitats over time in the North Williamson and Georgetown KFRs resulting from the interactions of faulting, geologic structure, and drainage basin evolution. Comparison with recent U.S. Fish and Wildlife Service cave habitat resiliency assessments indicated that four genetic clusters occur within at least partially resilient habitat, whereas three are confined to caves with low or impaired resiliency. Integrating genetic results presented here along with results of other molecular studies of co-occurring troglobiotic invertebrates supports considering additional geological substructure within the North Williamson KFR in conservation efforts for these rare and unique lineages and systems.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s10592-025-01733-y","usgsCitation":"Wood, P.L., Chandler, D.S., Gladstone, N.S., Mitelberg, A., Smith, J.G., White, K., Wilson, J., and Vandergast, A.G., 2026, Phylogenomics of endangered troglobiotic rove beetles (Coleoptera: Staphylinidae: Pselaphinae) from central Texas karst regions: Conservation Genetics, v. 27, 6, 17 p., https://doi.org/10.1007/s10592-025-01733-y.","productDescription":"6, 17 p.","ipdsId":"IP-180017","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":497406,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10592-025-01733-y","text":"Publisher Index Page"},{"id":497192,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"central Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -98.73468272013145,\n 32.73358466173568\n ],\n [\n -98.73468272013145,\n 30.565934073926556\n ],\n [\n -96.59794469143151,\n 30.565934073926556\n ],\n [\n -96.59794469143151,\n 32.73358466173568\n ],\n [\n -98.73468272013145,\n 32.73358466173568\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"27","noUsgsAuthors":false,"publicationDate":"2025-11-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Wood, Perry L. Jr. 0000-0003-3767-5274","orcid":"https://orcid.org/0000-0003-3767-5274","contributorId":363405,"corporation":false,"usgs":true,"family":"Wood","given":"Perry","suffix":"Jr.","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951627,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chandler, Donald S.","contributorId":363406,"corporation":false,"usgs":false,"family":"Chandler","given":"Donald","middleInitial":"S.","affiliations":[{"id":12667,"text":"University of New Hampshire","active":true,"usgs":false}],"preferred":false,"id":951628,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gladstone, Nicholas S.","contributorId":363407,"corporation":false,"usgs":false,"family":"Gladstone","given":"Nicholas","middleInitial":"S.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":951629,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mitelberg, Anna 0000-0002-3309-9946 amitelberg@usgs.gov","orcid":"https://orcid.org/0000-0002-3309-9946","contributorId":218945,"corporation":false,"usgs":true,"family":"Mitelberg","given":"Anna","email":"amitelberg@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951630,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Julia G. 0000-0001-9841-1809","orcid":"https://orcid.org/0000-0001-9841-1809","contributorId":221086,"corporation":false,"usgs":true,"family":"Smith","given":"Julia","email":"","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951631,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"White, Kemble","contributorId":363408,"corporation":false,"usgs":false,"family":"White","given":"Kemble","affiliations":[{"id":86694,"text":"Cambrian Environmental","active":true,"usgs":false}],"preferred":false,"id":951632,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wilson, Jenny","contributorId":363409,"corporation":false,"usgs":false,"family":"Wilson","given":"Jenny","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":951633,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vandergast, Amy G. 0000-0002-7835-6571","orcid":"https://orcid.org/0000-0002-7835-6571","contributorId":57201,"corporation":false,"usgs":true,"family":"Vandergast","given":"Amy","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951634,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70272719,"text":"70272719 - 2026 - Variation in soil organic carbon across a latitudinal chronosequence of mangrove poleward expansion","interactions":[],"lastModifiedDate":"2025-12-05T16:10:48.459229","indexId":"70272719","displayToPublicDate":"2025-11-10T10:03:52","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Variation in soil organic carbon across a latitudinal chronosequence of mangrove poleward expansion","docAbstract":"The critical carbon sink provided by coastal wetlands, known as blue carbon, can be affected by multiple aspects of climate change. One important example is warming-induced mangrove poleward expansion, which is shifting dominant plant cover across tropical–temperate transitional zones and altering ecosystem structure and function. We examined how mangrove expansion affects soil organic carbon (SOC) quantity and source, using measurements of SOC density and isotopic signatures (δ13C and δ15N) at 15 sites across Florida’s west coast (USA). The sampled sites represent examples of three expansion stages: a latitudinal chronosequence of mangrove expansion, spanning mature mangroves in the south, former ecotones at mid latitudes, and current ecotones in the north. Our analyses of soil core data indicate that mangrove expansion stage is a significant predictor of SOC density, δ13C, and δ15N, but not C:N ratio. Current ecotones exhibited significantly lower SOC density but higher δ13C, suggesting a greater contribution of preexisting C4 salt marshes, while no difference was found between former ecotones and mature mangroves. SOC density, δ13C, and δ15N were found to vary with mangrove aboveground biomass, stage, and sedimentary setting along the latitudinal gradient. For all three mangrove expansion stages, SOC density decreased with depth, but δ13C showed no vertical trend, suggesting that mangroves contributed organic carbon to the entire 20-cm soil profile. The observed regional trend of SOC across mangrove expansion stages highlights the ecological impacts of warming-driven vegetation shifts in coastal wetlands, though further evidence is needed to determine the primary drivers and mechanisms, while also considering local and regional environmental factors.
","language":"English","publisher":"Springer","doi":"10.1007/s10021-025-01021-3","usgsCitation":"Kang, Y., Assavapanuvat, P., Osland, M., and Kaplan, D.A., 2026, Variation in soil organic carbon across a latitudinal chronosequence of mangrove poleward expansion: Ecosystems, v. 29, no. 1, 2, 16 p., https://doi.org/10.1007/s10021-025-01021-3.","productDescription":"2, 16 p.","ipdsId":"IP-177314","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":497146,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -81.32160751894271,\n 25.054902179361207\n ],\n [\n -80.63726301014596,\n 25.258298250546616\n ],\n [\n -81.8527400049156,\n 27.227832172418474\n ],\n [\n -82.33280191711681,\n 28.84154022988217\n ],\n [\n -83.06821596269705,\n 29.7501155011185\n ],\n [\n -84.31432949640975,\n 30.536225351129545\n ],\n [\n -84.93739349566832,\n 30.13070589776649\n ],\n [\n -85.98944614179287,\n 30.421797338238022\n ],\n [\n -86.25501595921092,\n 30.342496828735193\n ],\n [\n -85.20296443450356,\n 29.55483610748952\n ],\n [\n -84.09984046033792,\n 29.989262856477296\n ],\n [\n -82.94564883333466,\n 28.859434680310557\n ],\n [\n -83.07843222809143,\n 27.699106909720854\n ],\n [\n -81.32160751894271,\n 25.054902179361207\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"29","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-11-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Kang, Yiyang","contributorId":305365,"corporation":false,"usgs":false,"family":"Kang","given":"Yiyang","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":951430,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Assavapanuvat, Prakhin","contributorId":363279,"corporation":false,"usgs":false,"family":"Assavapanuvat","given":"Prakhin","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":951431,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Osland, Michael J. 0000-0001-9902-8692","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":206443,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":951432,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kaplan, David A.","contributorId":363282,"corporation":false,"usgs":false,"family":"Kaplan","given":"David","middleInitial":"A.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":951433,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70272143,"text":"70272143 - 2026 - Refined chronology of late Quaternary eruptions at Harrat Khaybar, Saudi Arabia, with implications for magma dynamics and regional volcanic history","interactions":[],"lastModifiedDate":"2026-03-09T14:33:25.048727","indexId":"70272143","displayToPublicDate":"2025-11-05T08:00:19","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Refined chronology of late Quaternary eruptions at Harrat Khaybar, Saudi Arabia, with implications for magma dynamics and regional volcanic history","docAbstract":"Determining accurate and precise ages for Quaternary volcanic centers is essential for reconstructing volcanic field histories, understanding magmatic processes, and assessing potential hazards or risk. Harrat Khaybar, western Saudi Arabia, is one of the youngest and potentially most active volcanic fields on the Arabian plate, has been active since ca. 1.7 Ma, and is characterized by a spectrum of rock compositions ranging from predominantly alkalic basalt to trachyte and comendite. Previous work in Harrat Khaybar utilizing 40Ar/39Ar incremental heating geochronology to constrain morphological preservation and superpositional relationships bracketed the volcanic activity into broad age groups in intervals of ∼150 k.y., and the youngest and most compositionally evolved volcanoes, including Jabal Abyad, Jabal Bayda, and Jabal Qidr, were assigned to the age groups between ca. 300 ka and present. Herein, we establish a detailed chronology of prehistoric silicic and historical basaltic eruptions at central Harrat Khaybar using four independent eruption age determination techniques: zircon double-dating (ZDD), which combines 238U-230Th disequilibrium or U-Pb with (U-Th)/He dating; zircon U-Pb dating; cosmogenic 3He dating; and cosmogenic 36Cl geochronology. These were employed to accurately date six volcanic centers, including the comenditic Jabal Abyad, Jabal Bayda, Jabal Ibayl, and Jabal Alhayyirah, the trachytic Jabal Aluthmor, and the basaltic Jabal Qidr. Additionally, our previously published 40Ar/39Ar ages have been recalculated using isochron intercept (nonatmospheric) 40Ar/36Ar for the trapped Ar component. Our new results reveal that zircon rims from Jabal Abyad and Jabal Bayda define isochron 238U-230Th crystallization ages of 125 ± 4 ka and 144 ± 6 ka, concordant with ZDD eruption ages of 132 ± 4 ka and 149 ± 5 ka, respectively. Zircon U-Pb crystallization and (U-Th)/He eruption ages from Jabal Alhayyirah are concordant at 471 ± 14 ka and 458 ± 18 ka, respectively. Finally, zircons from the nearby Jabal Ibayl yield a U-Pb weighted mean crystallization age of 566 ± 16 ka concordant with the corresponding (U-Th)/He eruption age of 554 ± 12 ka, both of which are notably older than the previously proposed eruption ages of 300−150 ka. Recalculations of published 40Ar/39Ar ages for the youngest volcanoes at central Harrat Khaybar are now in excellent agreement with new geochronological data.
Our new age data reveal several new insights into the development of Harrat Khaybar. It is now clear that the comenditic eruptions do not belong to the same eruptive phase and indicate an extended history during which comendites have episodically punctuated the basaltic volcanism since at least 600 ka. The data indicate that Jabal Ibayl and Jabal Alhayyirah represent separate older volcanic events, whereas the younger Jabal Abyad and Jabal Bayda volcanoes appear to be coeval, and their spatial proximity implies that they share a magmatic lineage and maybe a common plumbing system. Zircon age spectra of the comendites reveal obvious xenocrysts and antecrysts indicating assimilation of basement and plutonic progenitors, but otherwise they define broad unimodal populations of crystallization ages that overlap within error with the respective eruption ages. We interpret this to indicate that zircon crystallization continued up to the time of eruption. The cosmogenic ages of Jabal Aluthmor and Jabal Qidr reveal that these centers erupted as recently as ca. 2000 and 760 years ago, respectively. Broadly coeval young silicic and basaltic eruptions at northern Harrat Rahat, the harrat immediately south of Harrat Khaybar, may imply a shared geodynamic forcing between the two adjacent volcanic fields.
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North America has 2 major data sources for estimating population trends of breeding birds—the North American Breeding Bird Survey (BBS) and the global participatory science project eBird. Because the surveys differ in protocols, coverage, and data analysis, their trend estimates are expected to vary in magnitude, direction, and/or precision for at least some species and regions. Here, we compare independently derived estimates of population change between 2012 and 2022 for every combination of species and bird conservation region (BCR) covered by both surveys (n = 5,577 combinations) as well as aggregated across entire ranges or within the U.S. or Canada. Uncertainty was substantial for both surveys, though more prevalent for BBS (81% of credibility intervals for estimates included zero) than eBird (34% of confidence intervals overlapped zero). We found agreement of trend directions between the 2 surveys. Only 1.3% of estimated trends were significant in opposite directions between the 2 surveys for all species/BCR combinations, with the median difference in trend magnitude being –0.02% (BBS minus eBird trend). Correlations between the 2 were strongest for estimates that were graded as being high credibility compared to estimates judged to have medium or low credibility. Both surveys were subject to species, taxonomic, and regional effects that influenced agreement. Overall, we show where trend estimates derived from BBS and eBird agree, explore where they diverge, present several comparisons to assist in interpreting results from both surveys, and inform efforts to integrate information from each.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/ornithapp/duaf077","usgsCitation":"Robinson, O.J., Johnston, A.J., Hochachka, W.M., Hostetler, J.A., Sauer, J.R., Auer, T., Strimas-Mackey, M.E., Ligocki, S., Faraco-Hadlock, N.A., Ruiz-Gutierrez, V., Rodewald, A.D., and Fink, D., 2026, Same view through a different lens: Comparing population trends for North American birds using eBird and the Breeding Bird Survey: Ornithological Applications, v. 128, no. 1, p. 1-14, https://doi.org/10.1093/ornithapp/duaf077.","productDescription":"14 p.","startPage":"1","endPage":"14","ipdsId":"IP-177306","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":498606,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -175.5769656031165,\n 67.88007213476573\n ],\n [\n -176.42265817434867,\n 52.09754159577638\n ],\n [\n -135.3326753777096,\n 55.172434116597884\n ],\n [\n -120.43638889508058,\n 32.147432273276934\n ],\n [\n -76.5966100414586,\n 24.358972522659556\n ],\n [\n -50.64255884378724,\n 46.04534849315602\n ],\n [\n -60.903583596490165,\n 62.58237847273696\n ],\n [\n -117.88795050621641,\n 71.73176576156126\n ],\n [\n -152.156676231909,\n 72.85004301491678\n ],\n [\n -175.5769656031165,\n 67.88007213476573\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"128","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-11-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Robinson, Orin J.","contributorId":220077,"corporation":false,"usgs":false,"family":"Robinson","given":"Orin","middleInitial":"J.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":953770,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnston, Alison J.","contributorId":365147,"corporation":false,"usgs":false,"family":"Johnston","given":"Alison","middleInitial":"J.","affiliations":[{"id":87068,"text":"University of St Andrews, St Andrews, UK","active":true,"usgs":false}],"preferred":false,"id":953771,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hochachka, Wesley M.","contributorId":365148,"corporation":false,"usgs":false,"family":"Hochachka","given":"Wesley","middleInitial":"M.","affiliations":[{"id":36682,"text":"Cornell Lab of Ornithology","active":true,"usgs":false}],"preferred":false,"id":953772,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hostetler, J. 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Multi-population models are useful tools for integrating diverse datasets, reducing biases, and deriving survival estimates across differing spatial scales. We conducted a range-wide, multi-population apparent annual survival analysis for a declining songbird, Vermivora chrysoptera (Golden-winged Warbler), using data from 18 sites across its breeding and nonbreeding grounds. This Nearctic-Neotropical migrant breeds in 2 disjunct regional populations, the Great Lakes and Appalachian Mountains, which are experiencing different rates of decline. We aimed to quantify regional-, site-, and sex-specific apparent annual survival estimates to identify geographic patterns or demographic factors influencing population declines. We used simulations to assess the precision of our estimates. Our models did not reveal a substantial difference in apparent annual survival between the Great Lakes (0.41, 95% credible interval (CrI):0.31–0.50) and the Appalachian regions (0.49, 95% CrI: 0.36–0.60), as CrIs overlapped. Site-specific estimates also showed no clear differences in apparent annual survival among sites representing both regional populations. Male apparent annual survival tended to be greater than female apparent annual survival in both regions, though CrI’s overlapped. Our study suggests demographic factors other than adult annual survival likely play a larger role in recent regional and range-wide population declines, such as productivity, juvenile/immature survival, or recruitment. Simulations indicate that improving recapture probability and study duration of datasets could lead to more precise apparent annual survival estimates. However, our model produced CrI ranges comparable to the most ideal data collection scenario, suggesting the lack of trends we found was not due to variability in our estimates. We stress the importance of addressing inherent biases in survival datasets and the need for standardized collaborative efforts to inform species conservation on a range-wide scale.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/ornithology/ukaf049","usgsCitation":"Filiberti, E.N., Roth, A.M., Thogmartin, W.E., Royal, E.J., Aldinger, K.R., Bennett, R.E., Buehler, D.A., Bulluck, L.P., Canterbury, R.A., Chandler, R., Clements, S.J., Fiss, C.J., Hobson, K.A., Jones, J.A., King, D., Kramer, G.R., Larkin, J.L., McNeil, D.J., Ritterson, J.D., Buckardt Thomas, A., Vallender, R., Van Wilgenburg, S.L., and Wood, P.B., 2026, Apparent annual survival of adult Golden-winged Warblers (Vermivora chrysoptera) may not differ by sex or region: Ornithology, v. 143, no. 1, p. 1-13, https://doi.org/10.1093/ornithology/ukaf049.","productDescription":"13 p.","startPage":"1","endPage":"13","ipdsId":"IP-177249","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences 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Energetic acquisition and growth are key traits that affect demography and life-history strategies. Many animals that live in seasonal environments in which food availability fluctuates store energy endogenously as fat in anticipation of food shortage. Fat-storing mammalian hibernators are an extreme example of this strategy where the optimal resolution of resource allocation trade-offs is essential to survival. Hence, these species provide an opportunity to test potential causes and consequences of seasonal body mass dynamics.
2. We used a 12-year dataset with 8753 body mass records from 3351 individually marked northern Idaho ground squirrels (Urocitellus brunneus) – a federally threatened hibernator – to meet three objectives: (1) document seasonal body mass changes by sex, age, and reproductive status, (2) test ecological hypotheses to explain spatiotemporal variation in body mass, and (3) document fitness consequences of pre-hibernation body condition via condition-dependent overwinter survival.
3. Squirrels varied substantially in seasonal body mass dynamics. The magnitude (36-155%) and onset (late May to early July) of rapid active-season mass gain varied among demographic groups. Reproductive females acquired the necessary fat stores to survive hibernation later in the active season than did males and non-reproductive females. Moreover, squirrels with better pre-hibernation body condition were more likely to survive to the subsequent year, potentially because they allocated excess energetic reserves to prolonging hibernation via early immergence and thereby reduced predation risk. These results suggest a direct trade-off between current and future reproduction mediated by resource acquisition and allocation, as predicted by life-history theory.
4. Colder active-season temperatures and lower conspecific densities negatively influenced squirrel body condition, possibly via reductions in foraging activity associated with those conditions. These ecological effects on body condition constrain resource allocation and demographic outcomes. As such, our results can help guide research and conservation strategies to benefit hibernating animals.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2656.70160","usgsCitation":"Allison, A.Z., Conway, C.J., Goldberg, A.R., Morris, A.E., and Hakanson, E.C., 2026, Seasonal body mass dynamics mediate life-history trade-offs in a hibernating mammal: Journal of Animal Ecology, v. 95, no. 3, p. 383-396, https://doi.org/10.1111/1365-2656.70160.","productDescription":"14 p.","startPage":"383","endPage":"396","ipdsId":"IP-178391","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500344,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":500576,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2656.70160","text":"Publisher Index Page"}],"country":"United States","state":"Idaho","otherGeospatial":"northern Idaho","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.01727912063691,\n 48.949849031406984\n ],\n [\n -117.06550577544263,\n 45.77432685387063\n ],\n [\n -115.45669769129175,\n 45.603498147742044\n ],\n [\n -114.14771203572005,\n 46.038667434519695\n ],\n [\n -114.10553430532104,\n 46.61453544078449\n ],\n [\n -115.60028001696853,\n 47.5696411418145\n ],\n [\n -115.99924647829263,\n 47.875315792205775\n ],\n [\n -116.04207182244672,\n 49.00063541966966\n ],\n [\n -117.01727912063691,\n 48.949849031406984\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"95","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-10-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Allison, Austin Z.T.","contributorId":366617,"corporation":false,"usgs":false,"family":"Allison","given":"Austin","middleInitial":"Z.T.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":956098,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":956099,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goldberg, Amanda R.","contributorId":366618,"corporation":false,"usgs":false,"family":"Goldberg","given":"Amanda","middleInitial":"R.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":956100,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morris, Alice E.","contributorId":366619,"corporation":false,"usgs":false,"family":"Morris","given":"Alice","middleInitial":"E.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":956101,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hakanson, Emma C.","contributorId":366620,"corporation":false,"usgs":false,"family":"Hakanson","given":"Emma","middleInitial":"C.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":956102,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70272100,"text":"70272100 - 2026 - Guidelines for producing integrated 210Pb and 14C age-models","interactions":[],"lastModifiedDate":"2025-12-01T16:51:35.947878","indexId":"70272100","displayToPublicDate":"2025-10-17T08:05:40","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1431,"text":"Earth-Science Reviews","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Guidelines for producing integrated 210Pb and 14C age-models","title":"Guidelines for producing integrated 210Pb and 14C age-models","docAbstract":"Accurate reconstructions of past environmental changes are crucial in paleoecological research and require reliable chronologies of sedimentary archives. Establishing robust age-models and obtaining the most appropriate proxies for analysis is a complex scientific endeavor, requiring extensive resources and collaboration among specialists, including radiochronologists. Radiometric dating methods, such as 210Pb and radiocarbon (14C), are frequently employed to establish chronologies in aquatic sedimentary deposits and peat bogs. In this study, we review key aspects of sampling, analysis, and the principles underlying 210Pb and 14C age-models, focusing on methods for developing robust joint chronologies for paleoenvironmental research. Drawing largely from the authors' experiences and group discussions during and after a scientific workshop in 2022, we discuss important considerations for site selection, sampling strategies, and radiometric dating to construct integrated 210Pb and 14C age-models. Using expert consensus, this group – called Paleostats – aims to provide a set of best practices for other geochronologists with this methods paper. Among our conclusions, we emphasize the importance of accounting for site-specific factors such as prior information on sedimentation rates to establish appropriate sampling and analytical strategies. The use of appropriate coring devices can minimize disturbance to sediments and ensure the core surface remains intact and preserved until sectioning. Where excess 210Pb is expected, sectioning at intervals of ≤1 cm provides an adequate sampling resolution for 210Pb dating. Exceptions are possible, allowing for ~2–3 cm sections in areas with confirmed high sedimentation rates (e.g., > 1 cm yr−1). Recovering deeper core sections for 14C dating with sufficient overlap allows for accounting errors in depth estimates made in the field. Special attention is advised during time intervals where validation proxies, such as the human-made radionuclides 137Cs or post-bomb 14C, are expected, and to determine the depth of secular equilibrium between 210Pb and 226Ra. Radiocarbon analyses are commonly performed by accelerator mass spectrometry, and age models are constructed mainly using Bayesian statistics with Markov Chain Monte Carlo techniques (e.g., Bacon). A Bayesian approach (Plum) is now available for producing 210Pb age-models, which infers the 210Pbex flux, eliminates the need for selecting an equilibrium depth, and allows dating cores with incomplete 210Pbex inventory. Plum offers improved chronologies by integrating raw 210Pb and 14C data, and these age-models can be enriched with other dating methodologies, such as identifying tephras and other well-recorded historical events. Harmonized reporting would contribute to making radiometric age-models reproducible, which would benefit from an international effort. Using 210Pb and 14C to produce integrated age-models may yield better insights into the interplay between natural and recent anthropogenic forcings on ecosystems. This can enhance our understanding of environmental processes and their impacts on climate change, ultimately supporting science-based assessments and decisions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.earscirev.2025.105301","usgsCitation":"Sanchez-Cabeza, J., Aquino-López, M.A., Blaauw, M., Ruiz-Fernández, A.C., Jupin, J., Anderson, L., Knight, C.A., Champagne, M.R., Sanderson, N.K., Goring, S., and Christen, J.A., 2026, Guidelines for producing integrated 210Pb and 14C age-models: Earth-Science Reviews, v. 272, 105301, 17 p., https://doi.org/10.1016/j.earscirev.2025.105301.","productDescription":"105301, 17 p.","ipdsId":"IP-170497","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":500562,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.earscirev.2025.105301","text":"Publisher Index Page"},{"id":496477,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"272","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sanchez-Cabeza, Joan-Albert","contributorId":346065,"corporation":false,"usgs":false,"family":"Sanchez-Cabeza","given":"Joan-Albert","email":"","affiliations":[{"id":82761,"text":"CIMAT","active":true,"usgs":false}],"preferred":false,"id":950055,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aquino-López, Marco A. 0000-0002-5076-7205","orcid":"https://orcid.org/0000-0002-5076-7205","contributorId":362121,"corporation":false,"usgs":false,"family":"Aquino-López","given":"Marco","middleInitial":"A.","affiliations":[{"id":86469,"text":"Department of Geography, University of Cambridge","active":true,"usgs":false}],"preferred":false,"id":950056,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blaauw, Maarten","contributorId":303144,"corporation":false,"usgs":false,"family":"Blaauw","given":"Maarten","affiliations":[{"id":65675,"text":"Geography, College of Life and Environmental Sciences, University of Exeter, Exeter, UK","active":true,"usgs":false}],"preferred":false,"id":950057,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ruiz-Fernández, Ana Carolina 0000-0002-2515-1249","orcid":"https://orcid.org/0000-0002-2515-1249","contributorId":362122,"corporation":false,"usgs":false,"family":"Ruiz-Fernández","given":"Ana","middleInitial":"Carolina","affiliations":[{"id":86470,"text":"1 Unidad Académica Mazatlán, Instituto de Ciencias del Mar y Limnología, Universidad Nacional Autónoma de México","active":true,"usgs":false}],"preferred":false,"id":950058,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jupin, Johanna 0000-0002-3695-9366","orcid":"https://orcid.org/0000-0002-3695-9366","contributorId":362123,"corporation":false,"usgs":false,"family":"Jupin","given":"Johanna","affiliations":[{"id":86472,"text":"Universidad Nacional Autónoma de México, IRD, CNRS, SU, MNHN, IPSL, LOCEAN, Laboratoire d’Océanographie et du Climat: Expérimentation et Approches Numériques, Centre IRD France Nord","active":true,"usgs":false}],"preferred":false,"id":950059,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Anderson, Lysanna 0000-0001-5650-9744 landerson@usgs.gov","orcid":"https://orcid.org/0000-0001-5650-9744","contributorId":5339,"corporation":false,"usgs":true,"family":"Anderson","given":"Lysanna","email":"landerson@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":950060,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Knight, Clarke Alexandra 0000-0003-0002-6959","orcid":"https://orcid.org/0000-0003-0002-6959","contributorId":288487,"corporation":false,"usgs":true,"family":"Knight","given":"Clarke","email":"","middleInitial":"Alexandra","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":950061,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Champagne, Marie Rhondelle 0000-0001-8236-3910","orcid":"https://orcid.org/0000-0001-8236-3910","contributorId":248214,"corporation":false,"usgs":true,"family":"Champagne","given":"Marie","email":"","middleInitial":"Rhondelle","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":950062,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sanderson, Nicole K.","contributorId":220279,"corporation":false,"usgs":false,"family":"Sanderson","given":"Nicole","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":950063,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Goring, Simon","contributorId":167180,"corporation":false,"usgs":false,"family":"Goring","given":"Simon","affiliations":[],"preferred":false,"id":950064,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Christen, J. Andrés 0000-0002-5795-4345","orcid":"https://orcid.org/0000-0002-5795-4345","contributorId":362124,"corporation":false,"usgs":false,"family":"Christen","given":"J.","middleInitial":"Andrés","affiliations":[{"id":86474,"text":"Centro de Investigación en Matemáticas, Jalisco S/N","active":true,"usgs":false}],"preferred":false,"id":950065,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70272624,"text":"70272624 - 2026 - Subduction zone earthquake catalog separation tool: Implementation in the USGS 2025 Puerto Rico and U.S. Virgin Islands National Seismic Hazard Model","interactions":[],"lastModifiedDate":"2026-02-24T16:16:52.417973","indexId":"70272624","displayToPublicDate":"2025-10-15T09:02:46","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Subduction zone earthquake catalog separation tool: Implementation in the USGS 2025 Puerto Rico and U.S. Virgin Islands National Seismic Hazard Model","docAbstract":"The U.S. Geological Survey (USGS) periodically releases updates to National Seismic Hazard Model (NSHM) for the United States and its territories leveraging current scientific knowledge and methodologies to guide public policy, building codes, and risk assessments regarding potential ground shaking due to earthquakes that may result in infrastructure damage. In subduction zones, there is a need to separate the earthquake catalog into tectonic regimes to create specific seismicity models for which the most appropriate ground‐motion models are then applied. Here, we describe newly developed methods and software, called CatSep, that classifies subduction zone events into three primary tectonic regimes: crustal, interface, and intraslab. This method incorporates information about the location of the earthquake relative to the subducting slab, the depth of the Mohorovičić discontinuity, and the earthquake’s moment tensor. Applying this method is a first step in the NSHM workflow for regions covering U.S. subduction zones. Results using this subduction zone earthquake catalog separation tool for the 2025 Puerto Rico and U.S. Virgin Islands NSHM earthquake catalog are presented and analyzed.
Secretive marsh birds experienced precipitous declines due to losses in wetland habitat across North America. However, from 1998 to 2004, wetland area increased, and between 2009 and 2019, the extent of emergent wetlands did not significantly decrease. This raises the question: how did secretive marsh birds, which are tied to emergent wetlands, respond to this period of relative stability in wetland area? Here, we use Rallus elegans (King Rail) occurrence data collected in 2005, 2006, 2012, and 2017 in the Arkansas Delta in the United States to test the hypothesis that a period of stability in wetland vegetation is linked to stable Rallus elegans occupancy. Specifically, we sought to (1) quantify relationships between R. elegans occupancy and land cover, (2) quantify temporal trends in R. elegans occupancy, and (3) characterize changes in land cover types linked to R. elegans occupancy. We developed spatial multi-season occupancy models, and our top model contained the categorical year effect but showed no trend in R. elegans occupancy between 2005 and 2017, instead showing high interannual variation in occupancy. We found strong associations between R. elegans occupancy and emergent wetlands (positive) and elevation (negative). From 2005 to 2017 in the ∼3.7 million ha Arkansas Delta, rice crop cover decreased by 294,750 ha, emergent wetlands increased by 6,719 ha, and all other cover types increased or decreased by < 7,500 ha. Thus, although emergent wetlands did increase, the total area of emergent wetlands in 2016 (22,262 ha) comprised <1% of the Arkansas Delta. Our results support the hypothesis that R. elegans occupancy stabilized during a time when the main habitat type R. elegans depend on, emergent wetlands, also stabilized in spatial extent. There is an opportunity to turn the tide in R. elegans declines by conserving extant emergent wetlands and creating new emergent wetlands.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/ornithapp/duaf061","usgsCitation":"Roberts, C.P., Novobilsky, J., Akpejeluh, P., Berry, L.L., Budd, M.J., Ferrara, M.C., LaBrie, L.A., Luther, L., Karki, V., Krementz, D., Rowe, K., Shaw, M., Wilson, K., and Fournier, A.M., 2026, Rallus elegans (King Rail) occupancy is stable, but habitat is in short supply in the Arkansas Delta: Ornithological Applications, v. 128, no. 1, p. 1-9, https://doi.org/10.1093/ornithapp/duaf061.","productDescription":"9 p.","startPage":"1","endPage":"9","ipdsId":"IP-174522","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":496829,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas","otherGeospatial":"Arkansas Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n 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