Intensive agriculture in the Prairie Pothole Region of Iowa, USA has resulted in significant wetland drainage and wildlife population declines. However, easement programs are increasingly used to protect and restore wetlands and revitalize biodiversity. Short-term responses (i.e., 1–5 years) of birds to wetland restorations are well-documented, but long-term trends are less understood. We surveyed wetland easements in Iowa during 2007–2009 and 2022–2023 to assess changes in breeding bird communities and occupancy for conservation-priority species. We conducted bird point counts and vegetation surveys at 55 wetland easements. We used species accumulation curves to estimate overall breeding bird richness by guild, and site-occupancy models to estimate occupancy for 20 conservation-priority species. Species richness remained stable between time periods, but community composition shifted, with fewer grassland and more forest bird species despite no change in woody vegetation cover estimates (2007–2009: 3.2%, standard deviation [SD] = 5.9; 2022–2023: 3.1%, SD = 3.8). Occupancy for most species at wetland easements remained stable over time; however, 4 species declined (e.g., Cistothorus stellaris [Sedge Wren]). Six grassland bird species (e.g., Sturnella magna [Eastern Meadowlark]) exhibited positive or stable occupancy trends. Forest-dependent species generally maintained or increased in occupancy (e.g., Icterus galbula [Baltimore Oriole]). Increased forest bird richness despite stable woody vegetation cover may indicate changing structural characteristics as existing forests mature, whereas management to control woody encroachment at wetland easements may explain our observations of stable forest bird occupancy. Wetland easements may be strongholds for some grassland bird species, which are in precipitous decline across North America. Our study highlights the importance of wetland easements in an agricultural landscape to breeding bird communities and emphasizes the value of continued monitoring to track changes over time.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/ornithapp/duaf034","usgsCitation":"Gapinski, L.A., Kinkead, K.E., Janke, A.K., Dinsmore, S.J., Bishop, T., and Tucker, A.M., 2025, Stable occupancy of conservation-priority birds amid community shifts across 16 years on Iowa wetland easements: Ornithological Applications, v. 127, no. 3, duaf034, 15 p., https://doi.org/10.1093/ornithapp/duaf034.","productDescription":"duaf034, 15 p.","ipdsId":"IP-169149","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":497713,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ornithapp/duaf034","text":"Publisher Index Page"},{"id":497497,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","otherGeospatial":"Prairie Pothole Region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -95.75770786982824,\n 43.54695571723664\n ],\n [\n -95.75770786982824,\n 40.01246322199273\n ],\n [\n -91.52690414553632,\n 40.01246322199273\n ],\n [\n -91.52690414553632,\n 43.54695571723664\n ],\n [\n -95.75770786982824,\n 43.54695571723664\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"127","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-05-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Gapinski, Lindsey A.W.","contributorId":364117,"corporation":false,"usgs":false,"family":"Gapinski","given":"Lindsey","middleInitial":"A.W.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":952240,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kinkead, Karen E.","contributorId":364120,"corporation":false,"usgs":false,"family":"Kinkead","given":"Karen","middleInitial":"E.","affiliations":[{"id":24495,"text":"Iowa Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":952241,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Janke, Adam K.","contributorId":364123,"corporation":false,"usgs":false,"family":"Janke","given":"Adam","middleInitial":"K.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":952242,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dinsmore, Stephen J.","contributorId":364126,"corporation":false,"usgs":false,"family":"Dinsmore","given":"Stephen","middleInitial":"J.","affiliations":[{"id":24495,"text":"Iowa Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":952243,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bishop, Todd","contributorId":364129,"corporation":false,"usgs":false,"family":"Bishop","given":"Todd","affiliations":[{"id":24495,"text":"Iowa Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":952244,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tucker, Anna Maureen 0000-0002-1473-2048 amtucker@usgs.gov","orcid":"https://orcid.org/0000-0002-1473-2048","contributorId":257906,"corporation":false,"usgs":true,"family":"Tucker","given":"Anna","email":"amtucker@usgs.gov","middleInitial":"Maureen","affiliations":[],"preferred":true,"id":952245,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70267823,"text":"70267823 - 2025 - Metal fingerprints of Eocene rhyolite magmas coincident with Carlin-type gold deposition in Nevada USA","interactions":[],"lastModifiedDate":"2025-06-03T15:34:51.475791","indexId":"70267823","displayToPublicDate":"2025-05-04T08:28:53","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5207,"text":"Minerals","active":true,"publicationSubtype":{"id":10}},"title":"Metal fingerprints of Eocene rhyolite magmas coincident with Carlin-type gold deposition in Nevada USA","docAbstract":"Eocene magmatic systems contemporaneous with world-class Carlin-type Au deposits in Nevada (USA) have been proposed by some researchers as a key ingredient for Au mineralization, though evidence conclusively demonstrating their genetic relationship remains tenuous. This study provides the first direct evidence of the pre-eruptive metal budget of volatile- and metal-charged silicic magmas coincident in time (~41 to 34 Ma) and space (within 5 km) with Carlin-type Au deposits. We characterize the pre-eruptive metal fingerprints of these diverse magmatic systems to assess their potential as sources of metals for Carlin-type Au mineralization. Metal abundances from quartz-hosted melt inclusions (Au, Te, Ag, Sb, Tl, Mo, W, Sn, As, Pb, Co, Cu, Ni, and Zn) characterized in situ by SHRIMP-RG and LA-ICP-MS represent our best (and only) estimates for the pre-eruptive metal budget in these systems. Median metal concentrations are generally within one order of magnitude of average upper crust and average continental rhyolite values. But there are two notable exceptions, with median Au contents extending >1 order of magnitude higher than average upper crust and median Cu contents ranging >1 order of magnitude lower than upper crust. Despite this, melts contain lower Au/Cu (<0.1), Au/Ag (<5), and Au/Tl (<0.3) than most ore-grade Carlin-type rock samples and quartz-hosted fluid inclusions, regardless of their age and timing relative to nearby Carlin-type Au mineralization. The metal fingerprints of these magmatic systems, de-fined both by traditional and multivariate compositional data analysis techniques, are distinct from one another. Yet none are particularly specialized, e.g., high Au/Cu, in terms of being ideal ingredients as postulated by magmatic models for Carlin-type Au mineralization. Magmatic Au contents do not appear to be correlated with rhyolite “flavors” in the way that Cu, Sn, and Nb contents are. Fluid/melt partitioning modeling and magma volume estimates support the idea that a diverse array of non-specialized silicic magmas could feasibly contribute some or potentially all of the Au, Ag, and Cu in Carlin-type systems. The compositional diversity among contemporaneous magmatic systems could possibly contribute to some of the diversity observed across Carlin-type Au districts in Nevada.","language":"English","publisher":"MDPI","doi":"10.3390/min15050479","usgsCitation":"Mercer, C.N., Babel, H., Mercer, C.M., and Hofstra, A.H., 2025, Metal fingerprints of Eocene rhyolite magmas coincident with Carlin-type gold deposition in Nevada USA: Minerals, v. 15, no. 5, 479, 29 p., https://doi.org/10.3390/min15050479.","productDescription":"479, 29 p.","ipdsId":"IP-170125","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":490665,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/min15050479","text":"Publisher Index Page"},{"id":490404,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9UWAW28","text":"USGS data release","linkHelpText":"Melt inclusion and mineral geochemical analyses supporting the evaluation of petrogenesis, degassing, and metallogenic potential of mid-Cenozoic rhyolite magmas in northern Nevada, USA (ver. 2.0, March 2025)"},{"id":489471,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"15","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-05-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Mercer, Celestine N. 0000-0001-8359-4147 cmercer@usgs.gov","orcid":"https://orcid.org/0000-0001-8359-4147","contributorId":4006,"corporation":false,"usgs":true,"family":"Mercer","given":"Celestine","email":"cmercer@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":939032,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Babel, Hannah R.","contributorId":356285,"corporation":false,"usgs":false,"family":"Babel","given":"Hannah R.","affiliations":[{"id":40814,"text":"University of Bergen, Norway","active":true,"usgs":false}],"preferred":false,"id":939033,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mercer, Cameron Mark 0000-0003-0534-848X","orcid":"https://orcid.org/0000-0003-0534-848X","contributorId":301880,"corporation":false,"usgs":true,"family":"Mercer","given":"Cameron","email":"","middleInitial":"Mark","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":939034,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hofstra, Albert H. 0000-0002-2450-1593 ahofstra@usgs.gov","orcid":"https://orcid.org/0000-0002-2450-1593","contributorId":1302,"corporation":false,"usgs":true,"family":"Hofstra","given":"Albert","email":"ahofstra@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":939035,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70266466,"text":"70266466 - 2025 - Geomorphological evidence of near-surface ice at candidate landing sites in northern Amazonis Planitia, Mars","interactions":[],"lastModifiedDate":"2025-05-07T18:18:46.33843","indexId":"70266466","displayToPublicDate":"2025-05-03T11:14:46","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9967,"text":"JGR Planets","active":true,"publicationSubtype":{"id":10}},"title":"Geomorphological evidence of near-surface ice at candidate landing sites in northern Amazonis Planitia, Mars","docAbstract":"This work presents geomorphological analyses of an area at the boundary between Arcadia Planitia and northern Amazonis Planitia, situated in the northern mid-latitudes of Mars. Recent studies have indicated the presence of substantial volumes of near-surface excess ice in Arcadia Planitia, making this region a promising candidate for future human and robotic exploration. This study focuses on three specific candidate landing sites adjacent to the Arcadia Planitia: AP-1, AP-8, and AP-9. We have identified a wide range of ice-related morphologies, providing further evidence for the occurrence of excess ice in the study area. We have mapped and measured ∼9,000 thermal contraction polygons. We estimate ice beneath these polygons to be on the order of tens of cm from the surface, which is sufficiently shallow to be accessible for potential in situ resource utilization (ISRU). Recent impact craters that have been excavated into ice further suggest the presence of near-surface ice. Finally, the occurrence of ice and processes such as ice sublimation are likely responsible for the formation and subsequent modification of several observed features, including expanded craters, brain coral terrain, arcuate ridges, and thermal contraction polygons modified by sublimation. These results provide valuable insights into the ice distribution in the northern mid-latitudes and support the potential utilization of accessible ice resources for future human exploration efforts.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024JE008724","usgsCitation":"Luzzi, E., Heldmann, J.L., Williams, K.E., Nodjoumi, G., Deutsch, A., and Sehlke, A., 2025, Geomorphological evidence of near-surface ice at candidate landing sites in northern Amazonis Planitia, Mars: JGR Planets, v. 130, no. 5, e2024JE008724, 38 p., https://doi.org/10.1029/2024JE008724.","productDescription":"e2024JE008724, 38 p.","ipdsId":"IP-163826","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":490104,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024je008724","text":"Publisher Index Page"},{"id":485515,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"130","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-05-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Luzzi, Erica","contributorId":354637,"corporation":false,"usgs":false,"family":"Luzzi","given":"Erica","affiliations":[{"id":84643,"text":"Bay Area Environmental Research Institute","active":true,"usgs":false}],"preferred":false,"id":936045,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heldmann, Jennifer L.","contributorId":197096,"corporation":false,"usgs":false,"family":"Heldmann","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":936046,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, Kaj E. 0000-0003-1755-1872 kewilliams@usgs.gov","orcid":"https://orcid.org/0000-0003-1755-1872","contributorId":196988,"corporation":false,"usgs":true,"family":"Williams","given":"Kaj","email":"kewilliams@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":936048,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nodjoumi, Giacomo","contributorId":354639,"corporation":false,"usgs":false,"family":"Nodjoumi","given":"Giacomo","affiliations":[{"id":84644,"text":"Constructor University, Bremen, Germany","active":true,"usgs":false}],"preferred":false,"id":936049,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Deutsch, Ariel","contributorId":354640,"corporation":false,"usgs":false,"family":"Deutsch","given":"Ariel","affiliations":[{"id":84643,"text":"Bay Area Environmental Research Institute","active":true,"usgs":false}],"preferred":false,"id":936050,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sehlke, Alexander","contributorId":354638,"corporation":false,"usgs":false,"family":"Sehlke","given":"Alexander","affiliations":[{"id":84643,"text":"Bay Area Environmental Research Institute","active":true,"usgs":false}],"preferred":false,"id":936047,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70267407,"text":"70267407 - 2025 - Groundwater dominates snowmelt runoff and controls streamflow efficiency in the western United States","interactions":[],"lastModifiedDate":"2025-05-23T15:00:48.753331","indexId":"70267407","displayToPublicDate":"2025-05-03T09:42:29","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8956,"text":"Communications Earth & Environment","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater dominates snowmelt runoff and controls streamflow efficiency in the western United States","docAbstract":"Climate change in seasonally snow-covered mountain catchments is reducing water supply and decreasing streamflow predictability. Here, we use tritium age dating to show that contrary to the common assumption that snowmelt quickly contributes to runoff, streamflow during snowmelt in western US catchments is dominated by older groundwater. The average age of streamwater during snowmelt runoff (5.7 ± 4.3 years) was intermediate to the average age of groundwater (10.4 ± 4.5 years) and recent precipitation, indicating that 58% (±34%) of snowmelt runoff was derived from groundwater. Water ages, streamflow, and groundwater storage were mediated by bedrock geology: low-permeability hard rock/shale catchments exhibited younger ages, less storage, and more efficient streamflow generation than high-permeability sandstone/clastic catchments. Our results demonstrate that snowmelt runoff is the result of multiple prior years of climate mediated by groundwater storage. Including these interactions will be crucial for predicting water resources as climate and landscape changes accelerate.
","language":"English","publisher":"Nature","doi":"10.1038/s43247-025-02303-3","usgsCitation":"Brooks, P.D., Solomon, D., Kampf, S., Warix, S., Bern, C.R., Barnard, D., Barnard, H.R., Carling, G.T., Carroll, R., Chorover, J., Harpold, A., Lohse, K., Meza, F., McIntosh, J., Neilson, B., Sears, M., and Wolf, M., 2025, Groundwater dominates snowmelt runoff and controls streamflow efficiency in the western United States: Communications Earth & Environment, v. 6, 341, 8 p., https://doi.org/10.1038/s43247-025-02303-3.","productDescription":"341, 8 p.","ipdsId":"IP-172013","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":487554,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s43247-025-02303-3","text":"Publisher Index Page"},{"id":486506,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"western united States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -104.0181665891808,\n 48.94832156904479\n ],\n [\n -125.33002798384842,\n 48.94832156904479\n ],\n [\n -125.33002798384842,\n 31.337662810224828\n ],\n [\n -104.0181665891808,\n 31.337662810224828\n ],\n [\n -104.0181665891808,\n 48.94832156904479\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"6","noUsgsAuthors":false,"publicationDate":"2025-05-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Brooks, Paul D.","contributorId":139471,"corporation":false,"usgs":false,"family":"Brooks","given":"Paul","email":"","middleInitial":"D.","affiliations":[{"id":12566,"text":"Department of Geology and Geophysics, Unviersity of Utah","active":true,"usgs":false}],"preferred":false,"id":938113,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Solomon, D. 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2025 - One-hundred fundamental, open questions to integrate methodological approaches in lake ice research","interactions":[],"lastModifiedDate":"2025-05-05T14:19:08.992831","indexId":"70266346","displayToPublicDate":"2025-05-03T09:11:56","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"One-hundred fundamental, open questions to integrate methodological approaches in lake ice research","docAbstract":"The rate of technological innovation within aquatic sciences outpaces the collective ability of individual scientists within the field to make appropriate use of those technologies. The process of in situ lake sampling remains the primary choice to comprehensively understand an aquatic ecosystem at local scales; however, the impact of climate change on lakes necessitates the rapid advancement of understanding and the incorporation of lakes on both landscape and global scales. Three fields driving innovation within winter limnology that we address here are autonomous real-time in situ monitoring, remote sensing, and modeling. The recent progress in low-power in situ sensing and data telemetry allows continuous tracing of under-ice processes in selected lakes as well as the development of global lake observational networks. Remote sensing offers consistent monitoring of numerous systems, allowing limnologists to ask certain questions across large scales. Models are advancing and historically come in different types (process-based or statistical data-driven), with the recent technological advancements and integration of machine learning and hybrid process-based/statistical models. Lake ice modeling enhances our understanding of lake dynamics and allows for projections under future climate warming scenarios. To encourage the merging of technological innovation within limnological research of the less-studied winter period, we have accumulated both essential details on the history and uses of contemporary sampling, remote sensing, and modeling techniques. We crafted 100 questions in the field of winter limnology that aim to facilitate the cross-pollination of intensive and extensive modes of study to broaden knowledge of the winter period.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024WR039042","usgsCitation":"Culpepper, J., Sharma, S., Gunn, G., Magee, M., Meyer, M.F., Anderson, E., Arp, C.D., Cooley, S., Dolan, W., Dugan, H., Duguay, C.R., Jones, B.C., Kirillin, G., Ladwig, R., Lepparanta, M., Long, D., Magnuson, J.J., Pavelsky, T., Piccolroaz, S., Robertson, D., Steele, B., Tom, M., Weyhenmeyer, G.A., Woolway, R., Xenopoulos, M., and Yang, X., 2025, One-hundred fundamental, open questions to integrate methodological approaches in lake ice research: Water Resources Research, v. 616, no. 5, e2024WR039042, 21 p., https://doi.org/10.1029/2024WR039042.","productDescription":"e2024WR039042, 21 p.","ipdsId":"IP-157843","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science 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Understanding reproductive traits of vulnerable species, particularly long-lived species, may provide insight for implementing management actions to respond to potential overharvest. This study aimed to assess the reproductive characteristics of a stable population of long-lived blue suckers (Cycleptus elongatus) in the unchannelized Missouri River in South Dakota. We obtained demographic information and gonads from 182 blue suckers collected in trammel nets in March 2021 and 2022. We used Bayesian generalized linear mixed-effects models to assess length and weight relationships with gonadosomatic index (GSI) and fecundity and used spawning potential ratios to model the influence of four minimum length limit scenarios. Total lengths of sampled fish ranged from 560 to 821 mm. Female GSI increased with length to ∼730 mm before declining, and male GSI remained consistent across lengths. Fecundity increased linearly with weight and with length to around 750 mm, after which the rate of increase slowed. Using a recent natural mortality estimate for this population, the spawning potential ratio under current no-limit regulations decreased rapidly as fishing mortality approached 0.10 but implementing a minimum length limit (e.g. 610- or 660 mm) could prevent the spawning potential ratio from falling below acceptable limits (0.2–0.3) at moderate-to-high fishing mortality values. This study provides necessary information about the reproductive characteristics of vulnerable, non-game species and demonstrates how spawning potential ratio modeling can be used for species that receive less management focus.
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Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"CSS-167-2025","title":"Maintaining frog monitoring and population on the Las Cienegas National Conservation Area","docAbstract":"This report summarizes and analyzes the data collected on the Chiricahua Leopard Frog (CLF) populations on the Las Ciénegas National Conservation Area (LCNCA) in southeast Arizona, U.S.A., during the reporting period covered under this funding agreement from September 2020 through October 2024 and place this analysis in historical context of the previous monitoring efforts. The major findings of this report are:
1. We conducted a total of 465 surveys across 46 sites on the LCNCA and the associated Elgin Buffer Zone during September 2020 through October 2024. We conducted 323 surveys across the 19 core CLF monitoring sites on the LCNCA and 112 surveys across 13 core buffer zone sites.
2. We detected CLF at each of our 19 core LCNCA monitoring sites during at least one year in which we conducted surveys across the year’s entire field season (i.e., 2021-2024). We detected CLF reproduction in each of these four years at four sites and suspected reproduction to have occurred during all four years at a fifth site. We did not detect CLF reproduction at seven of these 19 core monitoring sites during the report period. We assisted with six CLF translocations to sites on the LCNA during the report period.
3. Site occupancy rates across the LCNCA during the report period remain consistent with those reported during previous years and continue to indicate the presence of a stable CLF metapopulation within the LCNCA.
4. Monitoring efforts in the Elgin Buffer Zone continue to be successful at preventing reinvasion by invasive American bullfrogs to the LCNCA. We detected and removed bullfrogs from three sites in the Elgin Buffer Zone and no bullfrogs were detected during 2024. The LCNCA continues to remain bullfrog free since 2014.
","language":"English","publisher":"US Fish and Wildlife Service","doi":"10.3996/10.3996/css46271852","usgsCitation":"Bauder, J.M., Prewitt, C.L., and Hall, D., 2025, Maintaining frog monitoring and population on the Las Cienegas National Conservation Area: Cooperator Science Series CSS-167-2025, ii, 29 p., https://doi.org/10.3996/10.3996/css46271852.","productDescription":"ii, 29 p.","ipdsId":"IP-172427","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":494908,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":494878,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.fws.gov/media/maintaining-frog-monitoring-and-population-las-cienegas-national-conservation-area#:~:text=Monitoring%20efforts%20in%20the%20Elgin,remain%20bullfrog%20free%20since%202017.","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Arizona","otherGeospatial":"Las Cienegas National Conservation Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.29057445827398,\n 32.013975682171306\n ],\n [\n -110.78033498621203,\n 32.013975682171306\n ],\n [\n -110.78033498621203,\n 31.548274767559434\n ],\n [\n -110.29057445827398,\n 31.548274767559434\n ],\n [\n -110.29057445827398,\n 32.013975682171306\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2025-05-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Bauder, Javan Mathias 0000-0002-2055-5324","orcid":"https://orcid.org/0000-0002-2055-5324","contributorId":337814,"corporation":false,"usgs":true,"family":"Bauder","given":"Javan","email":"","middleInitial":"Mathias","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":947218,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prewitt, Chris L.","contributorId":360568,"corporation":false,"usgs":false,"family":"Prewitt","given":"Chris","middleInitial":"L.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":947219,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hall, David","contributorId":360569,"corporation":false,"usgs":false,"family":"Hall","given":"David","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":947220,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70266478,"text":"70266478 - 2025 - Introduction to the special section on improving measurements of earthquake source parameters","interactions":[],"lastModifiedDate":"2025-05-28T14:58:19.622834","indexId":"70266478","displayToPublicDate":"2025-05-02T10:00:18","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Introduction to the special section on improving measurements of earthquake source parameters","docAbstract":"Earthquake source parameters such as magnitude, seismic moment, source dimension, stress drop, and radiated energy are fundamental to understanding earthquake physics, and are also key ingredients in earthquake ground‐motion modeling, rupture simulation, and statistical seismology. However, the uncertainties in these parameters estimated from the radiated seismic wavefield are large due to variability in approaches, including site and attenuation characterizations, and so estimates for an individual earthquake made by different studies can vary greatly. Estimating spectral source parameters remains a popular topic, due to a combination of their intrinsic importance and their apparent ease of measurement, but also a controversial one, due to many sources of variability and large uncertainty. The available methods coupled with necessary parameter choices and assumptions in the analysis make it challenging for researchers to apply methods or understand the reliability in results or reported source parameters. This Special Section on Improving Measurements of Earthquake Source Parameters showcasing comparisons between methods and studies seeks to alleviate some of these difficulties to help the community identify the important components and trade‐offs of decomposing recorded seismograms into their source, path, and site components.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120250055","usgsCitation":"Baltay Sundstrom, A.S., Abercrombie, R., Oth, A., and Uchide, T., 2025, Introduction to the special section on improving measurements of earthquake source parameters: Bulletin of the Seismological Society of America, v. 115, no. 3, p. 723-733, https://doi.org/10.1785/0120250055.","productDescription":"11 p.","startPage":"723","endPage":"733","ipdsId":"IP-177219","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":485558,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"115","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-05-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Baltay Sundstrom, Annemarie S. 0000-0002-6514-852X abaltay@usgs.gov","orcid":"https://orcid.org/0000-0002-6514-852X","contributorId":4932,"corporation":false,"usgs":true,"family":"Baltay Sundstrom","given":"Annemarie","email":"abaltay@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":936169,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abercrombie, Rachel E.","contributorId":293131,"corporation":false,"usgs":false,"family":"Abercrombie","given":"Rachel E.","affiliations":[{"id":7208,"text":"Department of Earth and Environment, Boston University","active":true,"usgs":false}],"preferred":false,"id":936170,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oth, Adrien 0000-0003-4859-6504","orcid":"https://orcid.org/0000-0003-4859-6504","contributorId":352096,"corporation":false,"usgs":false,"family":"Oth","given":"Adrien","affiliations":[{"id":84096,"text":"Walferdange Luxembourg","active":true,"usgs":false}],"preferred":false,"id":936171,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Uchide, Takahiko","contributorId":293567,"corporation":false,"usgs":false,"family":"Uchide","given":"Takahiko","email":"","affiliations":[{"id":27746,"text":"Geological Survey of Japan","active":true,"usgs":false}],"preferred":false,"id":936172,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70265981,"text":"ofr20251018 - 2025 - Gillnet sampling methods for monitoring status and trends of Clear Lake Hitch in Clear Lake, Lake County, California","interactions":[],"lastModifiedDate":"2025-05-05T14:01:14.714111","indexId":"ofr20251018","displayToPublicDate":"2025-05-02T08:57:25","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-1018","displayTitle":"Gillnet Sampling Methods for Monitoring Status and Trends of Clear Lake Hitch in Clear Lake, Lake County, California","title":"Gillnet sampling methods for monitoring status and trends of Clear Lake Hitch in Clear Lake, Lake County, California","docAbstract":"The Clear Lake Hitch (Lavinia exilicauda chi) is a minnow endemic to Clear Lake, Lake County, California. This species is listed as a threatened species under the California Endangered Species Act and has been petitioned for listing under the United States Endangered Species Act. In 2017, the U.S. Geological Survey, in cooperation with the U.S. Fish and Wildlife Service, initiated a Clear Lake Hitch monitoring program to generate information annually on relative abundance and size structure. The monitoring program was organized around a conceptual life cycle diagram, focused on life stages approximately ≥1 year of age, and incorporated a probabilistic study design involving approximately 10 days of short-duration (approximately 40 minutes) gillnet sampling undertaken during daytime. This report documents monitoring program activities from 2017 to 2023 and presents the results of an evaluation of the monitoring program. The evaluation was done after the 2023 sampling event, following 6 years of implementation, which is the approximate generation cycle of Clear Lake Hitch. The results of the evaluation indicated the following: (1) gillnets used in the monitoring program were effective at capturing Clear Lake Hitch aged 1 year or more; (2) the study design was effective at generating the information needed to characterize Clear Lake Hitch relative abundance and size structure, and meaningful operational efficiencies can be obtained by implementing simple changes; and (3) future sampling can be scaled to approximately 4–7 days of effort and maintain at least 80-percent confidence in detecting at least a 25-percent change in abundance, assuming past work productivity is maintained and future data are typical of previous data.
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U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819
Mass movements such as debris flows and landslides are some of the deadliest and most destructive natural hazards occurring mostly in alpine and volcanic settings. With ever-growing populations located downslope from known debris flow channels, early warning systems can help prevent loss of life. Geophysical and technological advances have improved monitoring and detection capabilities in recent years; however, they can often be cost prohibitive and resource intensive, making them less accessible to disadvantaged populations. We tested and validated a readily available and cost-effective two-dimensional swath laser rangefinder in a controlled experimental setting against two independent flow-depth lasers. The swath laser successfully recorded cross-sectional changes in flow depth from four debris flows and a water-only flood, in addition to geomorphic changes associated with landslide initiation. The results suggest that a swath laser could be integrated into systems for debris flow detection and characterization of mass movements in natural settings, thus improving the ability to monitor these hazards.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s10346-025-02533-8","usgsCitation":"Obryk, M., Bedinger, E., Iezzi, A.M., Bryant, E.H., Allstadt, K.E., George, D.L., and Mirus, B., 2025, Utility of a swath laser rangefinder for characterizing mass movement flow depth and landslide initiation: Landslides, v. 22, p. 2693-2700, https://doi.org/10.1007/s10346-025-02533-8.","productDescription":"8 p.","startPage":"2693","endPage":"2700","ipdsId":"IP-171813","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":485443,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","noUsgsAuthors":false,"publicationDate":"2025-05-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Obryk, Maciej K. 0000-0002-8182-8656","orcid":"https://orcid.org/0000-0002-8182-8656","contributorId":203477,"corporation":false,"usgs":true,"family":"Obryk","given":"Maciej","middleInitial":"K.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":935931,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bedinger, Emily Christina 0000-0002-5717-6395","orcid":"https://orcid.org/0000-0002-5717-6395","contributorId":316272,"corporation":false,"usgs":true,"family":"Bedinger","given":"Emily Christina","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":935932,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Iezzi, Alexandra M. 0000-0002-6782-7681","orcid":"https://orcid.org/0000-0002-6782-7681","contributorId":304206,"corporation":false,"usgs":true,"family":"Iezzi","given":"Alexandra","email":"","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":935933,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bryant, Emily H 0000-0003-4062-9711","orcid":"https://orcid.org/0000-0003-4062-9711","contributorId":344366,"corporation":false,"usgs":true,"family":"Bryant","given":"Emily","email":"","middleInitial":"H","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":935934,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allstadt, Kate E. 0000-0003-4977-5248","orcid":"https://orcid.org/0000-0003-4977-5248","contributorId":138704,"corporation":false,"usgs":true,"family":"Allstadt","given":"Kate","email":"","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":935935,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"George, David L. 0000-0002-5726-0255 dgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-5726-0255","contributorId":3120,"corporation":false,"usgs":true,"family":"George","given":"David","email":"dgeorge@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":935936,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mirus, Benjamin B. 0000-0001-5550-014X","orcid":"https://orcid.org/0000-0001-5550-014X","contributorId":267912,"corporation":false,"usgs":true,"family":"Mirus","given":"Benjamin B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":935937,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70266394,"text":"70266394 - 2025 - An early Holocene wet period in the southwestern United States","interactions":[],"lastModifiedDate":"2025-08-04T15:42:14.492448","indexId":"70266394","displayToPublicDate":"2025-05-02T08:37:38","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"An early Holocene wet period in the southwestern United States","docAbstract":"Multiple generations of spring-fed streams traversed ∼800 km2 of the Las Vegas Valley in southern Nevada between ca. 10.9 ka and 8.5 ka, depositing an extensive tufa network. The scale of this network and diversity of tufa morphologies is novel in North America and offers an opportunity to obtain quantitative paleoclimate data for the region during the early Holocene. We determined isotopic compositions and estimated past temperatures using clumped isotope data from early Holocene tufa on the valley floor (698 m) as well as tufa forming today at higher elevation in the nearby Spring Mountains at Cold Creek Spring (1856 m). Modern and fossil tufa yielded comparably low δ18O values, implying that source waters for both were derived from high-elevation winter precipitation. Clumped isotope temperatures of modern tufa average 15.8 ± 2.5 °C, aligning with mean summer temperatures of the emergent spring water, and indicate equilibrium conditions of tufa formation. The early Holocene tufa yielded similar clumped isotope temperatures, averaging 15.2 ± 3.9 °C, meaning it precipitated at temperatures that occur at much higher elevations today. The Las Vegas tufa record, combined with nearby and temporally correlative paleospring and lacustrine records, suggest that cool/wet conditions prevailed throughout the Mojave Desert during the early Holocene. These records also demonstrate that spring ecosystems responded to millennial-scale hydroclimate variations that supersede climate change driven solely by insolation. The previously unrecognized pattern of ecosystem response to hydroclimate documented here may assist in understanding climate drivers for the early Holocene and provide critical information for the fate of groundwater-dependent ecosystems in the southwestern United States.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/G53174.1","usgsCitation":"Springer, K.B., Hudson, A.M., Pigati, J.S., Huntington, K.W., and Schauer, A.J., 2025, An early Holocene wet period in the southwestern United States: Geology, v. 53, no. 8, p. 631-635, https://doi.org/10.1130/G53174.1.","productDescription":"5 p.","startPage":"631","endPage":"635","ipdsId":"IP-147460","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":485440,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Las Vegas Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -115.75,\n 36.75\n ],\n [\n -115.75,\n 36\n ],\n [\n -115,\n 36\n ],\n [\n -115,\n 36.75\n ],\n [\n -115.75,\n 36.75\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"53","issue":"8","noUsgsAuthors":false,"publicationDate":"2025-05-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Springer, Kathleen B. 0000-0002-2404-0264 kspringer@usgs.gov","orcid":"https://orcid.org/0000-0002-2404-0264","contributorId":149826,"corporation":false,"usgs":true,"family":"Springer","given":"Kathleen","email":"kspringer@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":935810,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hudson, Adam M. 0000-0002-3387-9838 ahudson@usgs.gov","orcid":"https://orcid.org/0000-0002-3387-9838","contributorId":195419,"corporation":false,"usgs":true,"family":"Hudson","given":"Adam","email":"ahudson@usgs.gov","middleInitial":"M.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":935811,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pigati, Jeffrey S. 0000-0001-5843-6219 jpigati@usgs.gov","orcid":"https://orcid.org/0000-0001-5843-6219","contributorId":201167,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeffrey","email":"jpigati@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":935812,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Huntington, Katharine W.","contributorId":195423,"corporation":false,"usgs":false,"family":"Huntington","given":"Katharine","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":935813,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schauer, Andrew J.","contributorId":140713,"corporation":false,"usgs":false,"family":"Schauer","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":935814,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70272582,"text":"70272582 - 2025 - Spatially explicit capture-mark-recapture to evaluate demographic status of the Louisiana black bear","interactions":[],"lastModifiedDate":"2025-11-24T15:39:23.408333","indexId":"70272582","displayToPublicDate":"2025-05-02T08:25:24","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Spatially explicit capture-mark-recapture to evaluate demographic status of the Louisiana black bear","docAbstract":"Louisiana black bears (Ursus americanus luteolus) occur in semi-isolated fragments of bottomland hardwood forest in the lower Mississippi Alluvial Valley and were listed as threatened under the United States Endangered Species Act in 1992. A population viability analysis based on radio-telemetry and capture-mark-recapture (CMR) data collected from 2002 to 2012 revealed that the probability of bears persisting in at least 1 subpopulation was >0.999, which prompted the United States Fish and Wildlife Service to remove the Louisiana black bear from the threatened species list in 2016. A post-delisting monitoring plan was developed, which included continued noninvasive CMR surveys to monitor subpopulation trends. We used genetic CMR data based on non-invasively collected hair samples for a post-delisting assessment of the demographic status of the black bear subpopulations in Louisiana, USA. The assessment included primary range in the Tensas River Basin (TRB; 2006–2020), the Upper Atchafalaya River Basin (UARB; 2007–2020), and the Three Rivers Complex (TRC; 2014 and 2021), where bears had been reintroduced beginning in 2001, and adjacent areas of possible range expansion (i.e., secondary range). We used spatially explicit closed-population capture-recapture models to estimate abundance (N), density (D), and the realized population growth rate (λ) for female bears at TRB, UARB, and TRC. Model-averaged estimates of N for primary range at TRB ranged from 135 (95% CI = 121–149) female bears in 2006 to 140 (95% CI = 123–157) in 2020 with mean λ of 1.003 (95% CI = 0.991–1.015), which suggested a stable primary population. An estimated 56 (95% CI = 19–92) additional female bears occurred in secondary range at TRB in 2020. Model-averaged estimates of N for primary range at UARB ranged from 35 (95% CI = 28–43) females in 2007 to 33 (95% CI = 28–43) in 2020, with mean λ = 0.996 (95% CI = 0.972–1.020), again suggesting a stable population. We estimated 3 (95% CI = 0–6) additional female bears occurred in secondary range at UARB during 2020. The estimate of N at TRC was 28 (95% CI = 18–44) females in 2014 and 42 (95% CI = 19–94) in 2021. The number of bears in the secondary ranges suggests some bears may have emigrated from the primary areas and colonized secondary areas, likely facilitated by increases in bottomland hardwood forests adjacent to the core populations. The stable primary populations, the reintroduced population at TRC, and the number of bears in secondary range adjacent to TRB indicate the overall number of Louisiana black bears has increased since monitoring began.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.70023","usgsCitation":"Clark, J.D., Adams, H.L., Augustine, B., Berry, J.R., Champagne, D., Davidson, M., Hanks, J., Laufenberg, J.S., and Murphy, S.M., 2025, Spatially explicit capture-mark-recapture to evaluate demographic status of the Louisiana black bear: Journal of Wildlife Management, v. 89, no. 5, e70023, 19 p., https://doi.org/10.1002/jwmg.70023.","productDescription":"e70023, 19 p.","ipdsId":"IP-167830","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":496825,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Mississippi Alluvial Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.838224038886,\n 32.76704554295411\n ],\n [\n -92.00742445013995,\n 31.79517824097138\n ],\n [\n -91.838224038886,\n 30.560509464604237\n ],\n [\n -91.33801935478277,\n 30.560509464604237\n ],\n [\n -91.4335879079766,\n 31.604282104237825\n ],\n [\n -90.97400724274002,\n 32.3050125648729\n ],\n [\n -91.838224038886,\n 32.76704554295411\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"89","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-05-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Clark, Joseph D. 0000-0002-8547-8112 jclark1@usgs.gov","orcid":"https://orcid.org/0000-0002-8547-8112","contributorId":2265,"corporation":false,"usgs":true,"family":"Clark","given":"Joseph","email":"jclark1@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":950851,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, Heidi L.","contributorId":362940,"corporation":false,"usgs":false,"family":"Adams","given":"Heidi","middleInitial":"L.","affiliations":[{"id":54517,"text":"Louisiana Tech University","active":true,"usgs":false}],"preferred":false,"id":950852,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Augustine, Ben 0000-0001-6935-6361","orcid":"https://orcid.org/0000-0001-6935-6361","contributorId":245736,"corporation":false,"usgs":true,"family":"Augustine","given":"Ben","email":"","affiliations":[{"id":49304,"text":"Department of Natural Resources, Cornell University","active":true,"usgs":false}],"preferred":false,"id":950853,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Berry, John R. III","contributorId":362941,"corporation":false,"usgs":false,"family":"Berry","given":"John","suffix":"III","middleInitial":"R.","affiliations":[{"id":12717,"text":"Louisiana Department of Wildlife and Fisheries","active":true,"usgs":false}],"preferred":false,"id":950854,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Champagne, Dustin","contributorId":362942,"corporation":false,"usgs":false,"family":"Champagne","given":"Dustin","affiliations":[{"id":12717,"text":"Louisiana Department of Wildlife and Fisheries","active":true,"usgs":false}],"preferred":false,"id":950855,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Davidson, Maria","contributorId":139273,"corporation":false,"usgs":false,"family":"Davidson","given":"Maria","email":"","affiliations":[{"id":12717,"text":"Louisiana Department of Wildlife and Fisheries","active":true,"usgs":false}],"preferred":false,"id":950856,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hanks, John","contributorId":360685,"corporation":false,"usgs":false,"family":"Hanks","given":"John","affiliations":[{"id":62256,"text":"LDWF","active":true,"usgs":false}],"preferred":false,"id":950857,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Laufenberg, Jared S.","contributorId":28899,"corporation":false,"usgs":false,"family":"Laufenberg","given":"Jared","email":"","middleInitial":"S.","affiliations":[{"id":7006,"text":"Department of Forestry, Wildlife and Fisheries, University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":950858,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Murphy, Sean M. 0000-0002-9404-8878","orcid":"https://orcid.org/0000-0002-9404-8878","contributorId":346967,"corporation":false,"usgs":true,"family":"Murphy","given":"Sean","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":950859,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70264061,"text":"70264061 - 2025 - Sources and risk factors for nitrate, pathogens, and fecal contamination of private wells in rural southwestern Wisconsin, USA","interactions":[],"lastModifiedDate":"2025-03-05T15:27:14.791487","indexId":"70264061","displayToPublicDate":"2025-05-02T08:20:36","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Sources and risk factors for nitrate, pathogens, and fecal contamination of private wells in rural southwestern Wisconsin, USA","docAbstract":"Household well water can be degraded by contaminants from the land's surface, but private well owners lack means to protect the source water from neighboring disturbances. Rural residents of southwestern Wisconsin, USA, rely on private well water, and the combination of land use and fractured carbonate bedrock makes groundwater vulnerable to contamination. To identify the extent, sources, and risk factors of private well contamination, randomly selected wells sampled during two-day periods in fall (n = 301) and spring (n = 529) were analyzed for nitrate and indicator bacteria, and a subset (n = 138) was sampled across four seasonal events for analysis of pathogens and microbial source tracking markers by quantitative polymerase chain reaction. Risk factors representing land use, hydrology, geology, and well construction were analyzed for associations with contamination in multivariable models. The importance of risk factors varied by contaminant, illustrating the multifaceted nature of rural groundwater quality. Nitrate contamination was associated with agricultural land use, and wells with casings that extended below a shale aquitard accessed less contaminated water than those drawing water from above it. Human fecal microbes were detected in 64 wells (46%), and rainfall was the key risk factor for contamination, indicating that wastewater from septic systems was available to contaminate wells when transport conditions were favorable. Manure microbes from cattle/ruminants and pigs were detected in 33 and 13 wells, respectively, and concentrations increased with the hectarage of cultivated land near wells. Pathogen genes for viruses, bacteria, and protozoa were detected in 66 wells (48%), including more detections of zoonotic than human-specific pathogens, and human Bacteroides, an indicator of wastewater, was an equivocal predictor of pathogen presence in private wells. Characterizing important elements of the setting, like geology, and identifying sources and risk factors for contaminants can inform landscape-level policies to protect groundwater quality.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.watres.2025.123202","usgsCitation":"Stokdyk, J.P., Firnstahl, A.D., Bradbury, K., Muldoon, M.A., Kieke Jr., B., and Borchardt, M.A., 2025, Sources and risk factors for nitrate, pathogens, and fecal contamination of private wells in rural southwestern Wisconsin, USA: Water Research, v. 275, 123202, 13 p., https://doi.org/10.1016/j.watres.2025.123202.","productDescription":"123202, 13 p.","ipdsId":"IP-171110","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":482899,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","county":"Grant County, Iowa County, Lafayette County","otherGeospatial":"southwestern 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This study examines a nonstationary flood frequency analysis method that uses ordinary least squares linear regression to estimate flood magnitudes at U.S. Geological Survey streamgages that exhibit trends and change points in a nine-State region including Montana, North Dakota, South Dakota, Minnesota, Illinois, Iowa, Wisconsin, Missouri, and Michigan. Additionally, an extension of this method is introduced, which enables nonstationary flood frequency based on a statistical relation with a stochastic climate predictor.
Estimates of the 1-percent annual exceedance probability flood using regression equations to adjust for conditions in 2020 were computed at U.S. Geological Survey streamgages across the study area. Regression equations used either a time index or a climate variable as the explanatory variable for changes in peak streamflow. Of 153 candidate streamgages, the assumptions of time-adjusted analyses were met at 137 streamgages. Climate-adjusted flood frequency analyses were applicable at 98 streamgages based on annual precipitation, annual temperature, or annual snowfall. Time- and climate-adjusted methods produced similar estimates of the 1-percent annual exceedance probability flood magnitude at streamgages where both methods were applicable. Nonstationary estimates of the 1-percent annual exceedance probability flood were primarily greater than stationary estimates in eastern North and South Dakota, Minnesota, Iowa, Illinois, and parts of Missouri and less than stationary estimates in Montana, western North and South Dakota, and Wisconsin. The largest differences between stationary and nonstationary flood estimates were in North and South Dakota and Minnesota.
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U.S. Geological Survey
2280 Woodale Drive
Mounds View, MN 55112
The rhyolitic Kaharoa 1315 CE eruption was a complex, long-lived event from Tarawera volcano, New Zealand. Explosive phases were followed by around 5 years of lava dome extrusion and collapse which produced block-and-ash flows (BAF). Lava domes generate crystalline silica in the form of cristobalite, and rhyolitic magmas often contain quartz phenocrysts. Fine-grained ash containing crystalline silica can be formed through dome collapses or explosions, generating a respiratory health hazard for communities affected by ashfall. The aims of this study are to: i) determine whether the Kaharoa eruption dome-forming phase generated substantial quantities of crystalline silica and, therefore, to determine the potential for future dome-forming eruptions of Tarawera to do the same; ii) consider the potential hazard of the crystalline silica by studying the crystal habit and chemistry compared to other lava domes, globally; and iii) assess the particle size and crystalline silica content of the Kaharoa ash, to inform a respiratory hazard assessment.
Five co-BAF ash samples and one co-ignimbrite (explosive) ash sample from the Kaharoa pyroclastic deposits were analysed for health-pertinent factors: particle size distribution and crystalline silica content. Eight dome-rock samples were collected from the dome complex and associated BAF deposits and groundmass texture (especially forms of crystalline silica) and quantity of crystalline silica were assessed.
Cristobalite was present in the 4 ash samples analysed by X-ray diffraction (XRD; 1.3–3.7 wt%) as was quartz (5.7–12.5 wt%). For the 4 dome samples analysed by XRD, all samples contained quartz (4.1–10.4 wt%) and two contained significant quantities of cristobalite (24.7 and 27.3 wt%). Of the two dome samples with minimal cristobalite (visible as individual vapour-phase crystals by SEM but not quantifiable by XRD), one was from the non-devitrified dome carapace and the other was from the compacted interior but had not undergone devitrification. The two dome samples with substantial cristobalite were from dome interiors and were highly devitrified, with well-developed spherulitic textures. Using energy-dispersive X-ray spectroscopy, cristobalite in all samples contained minor aluminium, as has been seen for volcanic cristobalite from other lava domes, which may ameliorate its toxicity. By laser diffraction, the quantities of ash in the health pertinent size fractions varied, with a range of 1.3–8.1 vol% for particles of <4 μm diameter and 1.7–15.6 vol% for particles of <10 μm diameter, which is lower than measured in ash from large-scale dome collapse events at other volcanoes.
The findings suggest a potential for substantial crystalline silica to be formed in future Kaharoa-style eruptions, but that cristobalite generation is site-specific, depending on location within the dome and whether the dome remains sufficiently hot for spherulite formation and glass devitrification. Respiratory hazard will therefore vary depending on the collapse of (or explosions through) individual lobes – although all lava is expected to contain quartz phenocrysts – as well as the size and energy of those collapses, which will influence particle size and quantity of ash generated and dispersed.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2025.108309","usgsCitation":"Horwell, C.J., Emerson, H., Ashwell, P., Damby, D., Self, S., Nattrass, C., Carey, R.J., and Houghton, B.F., 2025, The crystalline silica respiratory hazard from rhyolitic lava dome eruptions in New Zealand's Taupo Volcanic Zone: A case study from the 1315 CE Kaharoa eruption: Journal of Volcanology and Geothermal Research, v. 461, 108309, 13 p., https://doi.org/10.1016/j.jvolgeores.2025.108309.","productDescription":"108309, 13 p.","ipdsId":"IP-152512","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":488322,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jvolgeores.2025.108309","text":"Publisher Index Page"},{"id":483453,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"New Zealand","otherGeospatial":"Taupo Volcanic Zone","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 176.70799106633058,\n -37.79006097330997\n ],\n [\n 176.21360630070666,\n -37.64244713442115\n ],\n [\n 175.34568637882887,\n -39.06383193710557\n ],\n [\n 175.9279617694528,\n -39.310840734025355\n ],\n [\n 176.49925083195268,\n -38.49277283069831\n ],\n [\n 176.70799106633058,\n -37.79006097330997\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"461","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Horwell, Claire J.","contributorId":177455,"corporation":false,"usgs":false,"family":"Horwell","given":"Claire","email":"","middleInitial":"J.","affiliations":[{"id":16770,"text":"Dept. Earth Sciences, Durham University, UK","active":true,"usgs":false}],"preferred":false,"id":930977,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Emerson, Helen M.","contributorId":352370,"corporation":false,"usgs":false,"family":"Emerson","given":"Helen M.","affiliations":[{"id":40359,"text":"Durham University, UK","active":true,"usgs":false}],"preferred":false,"id":930978,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ashwell, Paul","contributorId":352373,"corporation":false,"usgs":false,"family":"Ashwell","given":"Paul","affiliations":[{"id":84191,"text":"University of Toronto Mississauga, Canada","active":true,"usgs":false}],"preferred":false,"id":930979,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Damby, David 0000-0002-3238-3961","orcid":"https://orcid.org/0000-0002-3238-3961","contributorId":206614,"corporation":false,"usgs":true,"family":"Damby","given":"David","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":930980,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Self, Steve","contributorId":352374,"corporation":false,"usgs":false,"family":"Self","given":"Steve","affiliations":[{"id":13243,"text":"University of California Berkeley","active":true,"usgs":false}],"preferred":false,"id":930981,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nattrass, Claire","contributorId":352375,"corporation":false,"usgs":false,"family":"Nattrass","given":"Claire","affiliations":[{"id":25252,"text":"Durham University","active":true,"usgs":false}],"preferred":false,"id":930982,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Carey, Rebecca J.","contributorId":145530,"corporation":false,"usgs":false,"family":"Carey","given":"Rebecca","email":"","middleInitial":"J.","affiliations":[{"id":16141,"text":"University of Tasmania","active":true,"usgs":false}],"preferred":false,"id":930983,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Houghton, Bruce F. 0000-0002-7532-9770","orcid":"https://orcid.org/0000-0002-7532-9770","contributorId":140077,"corporation":false,"usgs":false,"family":"Houghton","given":"Bruce","email":"","middleInitial":"F.","affiliations":[{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false},{"id":13351,"text":"University of Hawaii Cooperative Studies Unit","active":true,"usgs":false}],"preferred":false,"id":930984,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70266445,"text":"70266445 - 2025 - Status and trends of the Lake Huron prey fish community, 1976-2024","interactions":[],"lastModifiedDate":"2025-05-07T19:04:08.655223","indexId":"70266445","displayToPublicDate":"2025-05-01T13:59:52","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Status and trends of the Lake Huron prey fish community, 1976-2024","docAbstract":"The U. S. Geological Survey-Great Lakes Science Center has monitored annual changes in the offshore (depth > 9m) prey fish community of Lake Huron since 1973. Monitoring of prey fish populations in Lake Huron is based on a bottom trawl survey that targets demersal species (i.e., those predominantly or intermittently associated with the lake bottom) and an acoustic-midwater trawl survey that targets pelagic species and life stages. Prey fish abundance and species composition in 2024 was generally consistent with trends observed over the past decade. Bloater (Coregonus hoyi) remains the most abundant and widespread prey species, although its abundance is starting to decline owing to changes in demographic factors that are interacting to suppress reproduction. Rainbow Smelt (Osmerus mordax) remain widely distributed across Lake Huron but their dynamics vary by basin. Rainbow Smelt populations currently are larger in Georgian Bay and the North Channel than in the main basin where they have produced eight weak year classes over the past decade including in 2024. Populations of Alewife (Alosa pseudoharengus) continue to be comprised of low numbers of age-0 individuals, and sculpin communities consist primarily of Deepwater Sculpin (Myoxocephalus thompsonii) due to the reduced abundance and distribution of Slimy Sculpin (Cottus cognatus). In contrast, biomass of the invasive Round Goby (Neogobius melanostomus) in 2024 was the highest observed in the bottom trawl time series and was over four times greater than in 2023. Overall status of main basin prey fish community was rated as ‘fair.’ Stable dynamics of main basin Bloater populations and evidence of continued recovery by Cisco (Coregonus artedi) in the North Channel were interpreted as positive community trends, whereas growth and expansion of Round Goby populations and low species diversity of pelagic prey fish communities are inconsistent with fish community objectives. Use of complementary surveys (bottom trawl, acoustics) remains useful for evaluating prey fish status in Lake Huron, where prey fish community dynamics vary by basin and prey fish responses to changing environmental conditions depend on species and/or habitat.
","language":"English","publisher":"Great Lakes Fishery Commission","collaboration":"Great Lakes Fishery Commission","usgsCitation":"Hondorp, D.W., DeBruyne, R.L., Brant, C., Esselman, P., and O’Brien, T.P., 2025, Status and trends of the Lake Huron prey fish community, 1976-2024, 24 p.","productDescription":"24 p.","ipdsId":"IP-177005","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":485523,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":485522,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://glfc.org/publication-media-search.php","linkFileType":{"id":5,"text":"html"}}],"country":"Canada, United States","otherGeospatial":"Lake Huron","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.7705078125,\n 45.81348649679973\n ],\n [\n -84.4189453125,\n 45.5679096098613\n ],\n [\n -83.81469726562499,\n 45.390735154248894\n ],\n [\n -83.507080078125,\n 45.166547157856016\n ],\n [\n -83.38623046875,\n 44.73892994307368\n ],\n [\n -83.507080078125,\n 44.315987905196906\n ],\n [\n -83.9794921875,\n 44.02442151965934\n ],\n [\n -83.95751953125,\n 43.59630591596548\n ],\n [\n -83.60595703125,\n 43.61221676817573\n ],\n [\n -82.891845703125,\n 44.05601169578525\n ],\n [\n -82.46337890625,\n 42.94838139765314\n ],\n [\n -81.705322265625,\n 43.37311218382002\n ],\n [\n -81.683349609375,\n 44.11125397357155\n ],\n [\n -81.134033203125,\n 44.61393394730626\n ],\n [\n -81.49658203125,\n 45.205263456162385\n ],\n [\n -81.024169921875,\n 44.629573191951046\n ],\n [\n -79.95849609375,\n 44.41024041296011\n ],\n [\n -79.903564453125,\n 44.77793589631623\n ],\n [\n -79.56298828125,\n 44.72332018895825\n ],\n [\n -80.145263671875,\n 45.56021795715051\n ],\n [\n -80.804443359375,\n 46.03510927947334\n ],\n [\n -81.58447265624999,\n 46.18743678432541\n ],\n [\n -82.63916015625,\n 46.255846818480315\n ],\n [\n -84.122314453125,\n 46.39998810407942\n ],\n [\n -83.81469726562499,\n 46.17983040759436\n ],\n [\n -83.8916015625,\n 46.126556302418514\n ],\n [\n -83.968505859375,\n 45.98169518512228\n ],\n [\n -84.6826171875,\n 46.11132565729796\n ],\n [\n -84.7705078125,\n 45.81348649679973\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2025-05-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Hondorp, Darryl W. 0000-0002-5182-1963 dhondorp@usgs.gov","orcid":"https://orcid.org/0000-0002-5182-1963","contributorId":5376,"corporation":false,"usgs":true,"family":"Hondorp","given":"Darryl","email":"dhondorp@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":935989,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeBruyne, Robin L. 0000-0002-9232-7937 rdebruyne@usgs.gov","orcid":"https://orcid.org/0000-0002-9232-7937","contributorId":4936,"corporation":false,"usgs":true,"family":"DeBruyne","given":"Robin","email":"rdebruyne@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":935990,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brant, Cory 0000-0002-0919-1566","orcid":"https://orcid.org/0000-0002-0919-1566","contributorId":223422,"corporation":false,"usgs":true,"family":"Brant","given":"Cory","email":"","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":935991,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Esselman, Peter C. 0000-0002-0085-903X","orcid":"https://orcid.org/0000-0002-0085-903X","contributorId":204291,"corporation":false,"usgs":true,"family":"Esselman","given":"Peter C.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":935992,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"O’Brien, Timothy P. 0000-0003-4502-5204 tiobrien@usgs.gov","orcid":"https://orcid.org/0000-0003-4502-5204","contributorId":2662,"corporation":false,"usgs":true,"family":"O’Brien","given":"Timothy","email":"tiobrien@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":935993,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70263372,"text":"70263372 - 2025 - Airborne geophysical analysis to decipher salinization for coastal Louisiana","interactions":[],"lastModifiedDate":"2025-02-07T20:08:24.240308","indexId":"70263372","displayToPublicDate":"2025-05-01T13:04:07","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Airborne geophysical analysis to decipher salinization for coastal Louisiana","docAbstract":"Coastal Louisiana is known for saltwater intrusion that threatens wetlands, aquifers, and rivers. However, the extent of saltwater intrusion is not well understood. This study develops an innovative framework with airborne electromagnetic (AEM) data to map chloride concentration distributions for wetlands in the Mississippi River deltaic plain and Chenier plain as well as for the Mississippi River Valley alluvial aquifer (MRVA) and Chicot aquifer. Moreover, the framework maps chloride concentrations along the Mississippi River and Atchafalaya River. Key components in the framework include the establishment of resistivity-to-chloride concentration transformation, 3D resistivity architecture building through geostatistics, and the employment of a lithologic model. The transformation functions correlate AEM resistivity data with porewater salinity measurements and groundwater and river chloride samples. The results show that AEM data reliably infers soil water chloride concentrations and correlates well with the distribution of various marsh types. AEM data reveals extensive saltwater presence at depth and near the coast, originating from salt domes and the Gulf of Mexico, respectively. The saltwater upconing pattern in the Chicot aquifer is likely due to excessive groundwater withdrawals. The AEM data also confirms a distinct tongue of saltwater intruding into the Atchafalaya Basin from the Gulf. The AEM data helps to identify faults that are obscured or eroded at the surface, which appear as leaky barriers in the subsurface where dramatic changes in chloride concentration are apparent. Finally, this study uses the AEM data to infer the presence of an extensive seawater wedge in the Mississippi River and Atchafalaya River.","language":"English","publisher":"Elsevier","doi":"10.1016/j.watres.2025.123215","usgsCitation":"Attia, M., Tsai, F.T., Yang, S., Minsley, B.J., and Kress, W., 2025, Airborne geophysical analysis to decipher salinization for coastal Louisiana: Water Research, v. 271, 123215, 15 p., https://doi.org/10.1016/j.watres.2025.123215.","productDescription":"123215, 15 p.","ipdsId":"IP-172321","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":489931,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.watres.2025.123215","text":"Publisher Index Page"},{"id":481808,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"coastal Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -93.73623237534059,\n 30.56098510625779\n ],\n [\n -93.73623237534059,\n 28.997878726132328\n ],\n [\n -89.2134138791802,\n 28.997878726132328\n ],\n [\n -89.2134138791802,\n 30.56098510625779\n ],\n [\n -93.73623237534059,\n 30.56098510625779\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"271","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Attia, Michael","contributorId":350698,"corporation":false,"usgs":false,"family":"Attia","given":"Michael","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":926677,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tsai, Frank T.-C.","contributorId":305938,"corporation":false,"usgs":false,"family":"Tsai","given":"Frank","email":"","middleInitial":"T.-C.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":926678,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yang, Shuo","contributorId":350699,"corporation":false,"usgs":false,"family":"Yang","given":"Shuo","affiliations":[{"id":49206,"text":"INTERA Incorporated","active":true,"usgs":false}],"preferred":false,"id":926679,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Minsley, Burke J. 0000-0003-1689-1306","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":248573,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","email":"","middleInitial":"J.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":926680,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kress, Wade 0000-0002-6833-028X","orcid":"https://orcid.org/0000-0002-6833-028X","contributorId":203539,"corporation":false,"usgs":true,"family":"Kress","given":"Wade","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":926681,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70265915,"text":"cir1551 - 2025 - U.S. Geological Survey Colorado River Basin science and technology collaboration meetings on drought (2021)—Synthesis of findings","interactions":[],"lastModifiedDate":"2025-09-11T19:01:41.957549","indexId":"cir1551","displayToPublicDate":"2025-05-01T11:15:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1551","displayTitle":"U.S. Geological Survey Colorado River Basin Science and Technology Collaboration Meetings on Drought (2021)—Synthesis of Findings","title":"U.S. Geological Survey Colorado River Basin science and technology collaboration meetings on drought (2021)—Synthesis of findings","docAbstract":"Ongoing, prolonged, and severe drought and water overuse during the first two decades of the 21st century have reduced water supplies of the Colorado River Basin, with effects cascading to ecosystems and human communities throughout the basin. In June and July 2021, the U.S. Geological Survey (USGS) Colorado River Basin Actionable and Strategic Integrated Science and Technology initiative team held a series of 12 collaboration meetings with USGS scientists and managers to discuss complicated, integrated science challenges and solutions related to drought in the Colorado River Basin. These Science and Technology collaboration meetings were structured to identify challenges experienced by meeting participants when working on complex problems, explore opportunities for coproducing scientific information, and envision future collaborative programs that leverage new technology. The 12 meetings were attended by 79 USGS staff representing 43 unique affiliations (for example, USGS science centers, mission areas, and regional offices). Meeting participants submitted 865 individual responses to six general discussion prompt topics (“Challenges,” “Knowledge Gaps,” “Existing Capabilities,” “Strategies and Actions,” “Example Applications,” and “Next Steps”) using a structured online collaboration tool. However, specific questions or tasks from each general discussion prompt varied by meeting topic. Terms from the USGS Thesaurus (https://apps.usgs.gov/thesaurus/) and USGS Data Lifecycle Model (https://www.usgs.gov/data-management/data-lifecycle) were used to identify and summarize participant responses relevant to science integration, stakeholder engagement, and information management technology. From these responses, opportunities for the Colorado River Basin Actionable and Strategic Integrated Science and Technology initiative to facilitate science integration in the Colorado River Basin are highlighted in this report, including (a) pursuing specific interdisciplinary research topics that require integrating knowledge across spatial and temporal scales, (b) connecting scientists across disciplines, (c) reducing barriers to stakeholder engagement, (d) identifying new technologies, and (e) facilitating data access. Multiple strategies for designing future Science and Technology collaboration meetings are also outlined in this circular to better collect and analyze participant responses.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/cir1551","usgsCitation":"Monroe, A.P., Alexander, J.S., Anderson, E.D., Anderson, P.J., Andrews, W.J., Driscoll, J.M., Frus, R.J., Hevesi, J.A., Jones, D.K., Thomas, K.A., Tillery, A.C., Torregrosa, A., and Dahm, K.G., 2025, U.S. Geological Survey Colorado River Basin science and technology collaboration meetings on drought (2021)—Synthesis of findings: U.S. Geological Survey Circular 1551, 17 p., https://doi.org/10.3133/cir1551.","productDescription":"Report: iv, 17 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-159062","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":485359,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/cir1551/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"Circular 1551"},{"id":484771,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9QIBOJY","text":"USGS data release","linkHelpText":"Summary of Responses at the 2021 Colorado River Basin Science and Technology Meetings"},{"id":484770,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1551/cir1551.pdf","text":"Report","size":"3.05 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Circular 1551"},{"id":484769,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1551/coverthb.jpg"},{"id":485258,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/circ/1551/cir1551.xml"},{"id":485257,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/circ/1551/images"}],"country":"Mexico, United States","state":"Arizona, California, Colorado, Nevada, New Mexico, Sonora, Utah, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.84288087645007,\n 39.71384827828035\n ],\n [\n -105.7152848621287,\n 40.31627361955492\n ],\n [\n -107.15413242417426,\n 42.58617572195294\n ],\n [\n -110.24707077090045,\n 42.71786640310043\n ],\n [\n -110.89757634299599,\n 41.77462246338027\n ],\n [\n -110.95331264260932,\n 40.79783839963443\n ],\n [\n -112.038576374738,\n 37.469561144392586\n ],\n [\n -115.98036476910397,\n 38.79317671202148\n ],\n [\n -115.44123475079675,\n 32.992451748753595\n ],\n [\n -114.82264190472011,\n 31.47874298522271\n ],\n [\n -112.27051510504592,\n 30.18537034627093\n ],\n [\n -108.23443902124117,\n 30.2194618603899\n ],\n [\n -106.42157190796223,\n 36.17948752808586\n ],\n [\n -105.84288087645007,\n 39.71384827828035\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Fort Collins Science Center
U.S. Geological Survey
2150 Centre Ave., Bldg. C
Fort Collins, CO 80526-8118
Federally managed public lands and waters attract millions of visitors each year, generating significant economic benefits for surrounding communities. Accurate visitation data are crucial for guiding policy decisions and managing resources effectively. This report explores the methods employed by agencies to collect and use data on recreational visitation to Federal lands and waters. Visitation estimation practices across seven agencies are reviewed, revealing similarities such as the use of automated counters for on-site data collection, alongside differences in reporting frequencies, visit definitions, and public access to data. Emerging technologies, including social media, mobile device activity, and community science, are also evaluated for their potential to improve visitation estimation. Although these technologies offer promising opportunities, they come with challenges such as data biases, the need for calibration, costs, and privacy concerns. The report concludes with opportunities to enhance data collection, coordination, and accessibility, ensuring more efficient resource management and informed decision making.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20255022","collaboration":"Prepared in cooperation with the U.S. Department of the Interior Office of Policy Analysis and University of Washington","programNote":"Land Management Research Program","usgsCitation":"Hanson, D., Wilkins, E.J., Wood, S.A., Crowley, C., Boone, W., and Schuster, R., 2025, Monitoring recreation on federally managed lands and waters—Visitation estimation: U.S. Geological Survey Scientific Investigations Report 2025–5022, 46 p., https://doi.org/10.3133/sir20255022.","productDescription":"vii, 46 p.","onlineOnly":"Y","ipdsId":"IP-172048","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":485325,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255022/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5022"},{"id":485230,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5022/sir20255022.xml"},{"id":485229,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5022/images"},{"id":485175,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5022/coverthb.jpg"},{"id":485176,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5022/sir20255022.pdf","text":"Report","size":"1.55 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5022"}],"contact":"Director, Fort Collins Science Center
U.S. Geological Survey
2150 Centre Ave., Bldg. C
Fort Collins, CO 80526-8118
No abstract available.
","language":"English","publisher":"Ohio Department of Transportation","usgsCitation":"VonIns, B.L., and Crawford, C.J., 2025, Design, installation, and operation of a statewide crest-stage streamgage network in Ohio — Summary of methods and results 2021 to 2025: Final Report, 17 p.","productDescription":"17 p.","ipdsId":"IP-174102","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":498781,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":498758,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.dot.state.oh.us/Divisions/Planning/SPR/Research/reportsandplans/Lists/Final%20Reports%20All/Item/displayifs.aspx?List=47f3581d%2Df21c%2D403b%2D9358%2Dfea0b008772b&ID=727&Web=3bc523de%2Dc756%2D4eeb%2D9b6c%2Df24c0435d45e"}],"country":"United 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,{"id":70267752,"text":"70267752 - 2025 - Integrated stratigraphic and geochemical analysis of organic-rich intervals of the Lewis Shale in the eastern Washakie Basin, Wyoming","interactions":[],"lastModifiedDate":"2025-06-23T15:33:53.967741","indexId":"70267752","displayToPublicDate":"2025-05-01T10:13:33","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6000,"text":"The Mountain Geologist","active":true,"publicationSubtype":{"id":10}},"title":"Integrated stratigraphic and geochemical analysis of organic-rich intervals of the Lewis Shale in the eastern Washakie Basin, Wyoming","docAbstract":"Geological studies in the Cretaceous Western Interior Seaway (KWIS) in North America reveal highly variable sedimentological conditions on its western shore caused by rapidly changing sea level and detrital input during the seaway’s closure. Here we examine a 601-foot (183 meters) continuous core through the lower part of the Maastrichtian Lewis Shale in the eastern Washakie Basin, Wyoming, through integrating stratigraphic and geochemical analyses to better understand organic matter deposition and preservation during the final marine transgression within the seaway. The core penetrates eight organic-rich flooding intervals (F1-F8) and a regional condensed section, informally known as the Asquith marker. The lower portions of the core record sediment input from a southern source, likely the Sierra Madre/Park Ranges, while the upper part records sediment input from a northern source, likely the Granite Mountains. This provenance transition is supported by regional stratigraphic analysis and changes in bulk mineral and trace metal composition. The Asquith marker and early flooding surfaces are enriched in oil-prone, marine organic matter deposited under dysoxic to euxinic conditions, whereas younger flooding surfaces show increased terrigenous input and poorer preservation conditions. The Asquith marker is identified as a prime oil-prone source rock. Although younger flooding surfaces also exhibit favorable source-rock properties, their generative potential is reduced due to increased clastic and terrigenous organic matter deposition caused by regression. These results emphasize the importance of sediment source variability, organic matter preservation, and changing redox conditions to provide insight into the sediment provenance and petroleum potential of the Lewis Shale in the context of the final transgression within the KWIS.","language":"English","publisher":"Rocky Mountain Association of Geologists","doi":"10.31582/rmag.mg.62.1.5","usgsCitation":"Hearon, J.S., Hackley, P.C., and Birdwell, J.E., 2025, Integrated stratigraphic and geochemical analysis of organic-rich intervals of the Lewis Shale in the eastern Washakie Basin, Wyoming: The Mountain Geologist, v. 62, no. 1, p. 5-36, https://doi.org/10.31582/rmag.mg.62.1.5.","productDescription":"32 p.","startPage":"5","endPage":"36","ipdsId":"IP-163701","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":490203,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Wyoming","otherGeospatial":"Lewis Shale in the eastern Washakie Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -109.30117202208635,\n 41.753455510274506\n ],\n [\n -108.84225304629075,\n 40.88143889413695\n ],\n [\n -107.43424087164527,\n 40.17987802752506\n ],\n [\n -106.55182984629019,\n 41.00230063823375\n ],\n [\n -107.17479781485014,\n 42.416079488901346\n ],\n [\n -108.77806672311911,\n 42.44339067677001\n ],\n [\n -109.42749140652194,\n 42.1451186291533\n ],\n [\n -109.30117202208635,\n 41.753455510274506\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"62","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-05-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Hearon, Jane S. 0000-0002-1370-8169","orcid":"https://orcid.org/0000-0002-1370-8169","contributorId":270007,"corporation":false,"usgs":true,"family":"Hearon","given":"Jane","email":"","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":938732,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":938734,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":938733,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70266761,"text":"70266761 - 2025 - Geologic hydrogen potential in the Rocky Mountain region","interactions":[],"lastModifiedDate":"2025-05-13T15:05:01.130877","indexId":"70266761","displayToPublicDate":"2025-05-01T10:01:12","publicationYear":"2025","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":20252,"text":"Outcrop","active":true,"publicationSubtype":{"id":30}},"title":"Geologic hydrogen potential in the Rocky Mountain region","docAbstract":"No abstract available.
","language":"English","publisher":"Rocky Mountain Association of Geologists","usgsCitation":"Hearon, J.S., Gelman, S.E., and Ellis, G.S., 2025, Geologic hydrogen potential in the Rocky Mountain region: Outcrop, v. 74, no. 5, p. 16-26.","productDescription":"7 p.","startPage":"16","endPage":"26","ipdsId":"IP-174452","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":485814,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":485813,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.rmag.org/index.php?src=gendocs&ref=Outcrop_new","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"Rocky Mountains region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.78673253477945,\n 48.94787754258982\n ],\n [\n -114.87787559278885,\n 32.643451956577664\n ],\n [\n -103.66697399014456,\n 32.01884386489898\n ],\n [\n -102.81074012249076,\n 48.995388787743565\n ],\n [\n -116.78673253477945,\n 48.94787754258982\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"74","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-05-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Hearon, Jane S. 0000-0002-1370-8169","orcid":"https://orcid.org/0000-0002-1370-8169","contributorId":270007,"corporation":false,"usgs":true,"family":"Hearon","given":"Jane","email":"","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":936708,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gelman, Sarah E. 0000-0003-2549-9509","orcid":"https://orcid.org/0000-0003-2549-9509","contributorId":270004,"corporation":false,"usgs":true,"family":"Gelman","given":"Sarah","email":"","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":936709,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellis, Geoffrey S. 0000-0003-4519-3320 gsellis@usgs.gov","orcid":"https://orcid.org/0000-0003-4519-3320","contributorId":1058,"corporation":false,"usgs":true,"family":"Ellis","given":"Geoffrey","email":"gsellis@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":936710,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70267711,"text":"70267711 - 2025 - USGS critical minerals review","interactions":[],"lastModifiedDate":"2025-05-29T15:01:45.120167","indexId":"70267711","displayToPublicDate":"2025-05-01T09:45:26","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"USGS critical minerals review","docAbstract":"No abstract available.