Greater Sage-grouse (Centrocercus urophasianus) populations have been in decline for decades across much of the US Intermountain West. However, findings from 25 years of lek counts in Idaho indicate that some populations are stable or even increasing. After accounting for potential biases in past lek count data, we sought to explain the variability in population trends among all 70 lek clusters (i.e., populations) we identified in the state. For each population, we identified lek count troughs, or low-point years, that occurred between the mid-1990s and 2021 and used a regression slope of those abundance low points to quantify each population's trend over the 25-year time span. We related the 70 populations' slopes to climate, fire, topographic, vegetation, and landcover variables. Our analyses revealed that populations with negative trends tend to occur toward the ends of climate gradients (i.e., extremes of occupied habitats) and in locations with more wildfire, agriculture, and riparian landcover. Populations with positive trends generally occur in landscapes toward the middle of the climate gradient, with high amounts of low sagebrush (Artemisia arbuscula) landcover and intermediate amounts of riparian and agricultural landcover. Post hoc analysis indicated that the latter two drivers were strongly associated with high raven occupancy rates, which may contribute to the negative sage-grouse population trends we observed in areas with high riparian or agricultural landcover. When modeled separately for different regions however, various region-specific drivers were identified, including tree cover, annual herbaceous cover, and human development. This information can help guide sage-grouse habitat management decisions and set expectations for population recovery, given the diversity of habitats occupied by the species and the cyclic nature of sage-grouse populations.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70331","usgsCitation":"Arkle, R.S., Pilliod, D.S., Jeffries, M.I., Welty, J.L., Moser, A., Ellsworth, E.A., and Major, D.J., 2025, Environmental drivers of Greater Sage-grouse population trends over 25 years in Idaho, USA: Ecosphere, v. 16, no. 9, e70331, 20 p., https://doi.org/10.1002/ecs2.70331.","productDescription":"e70331, 20 p.","ipdsId":"IP-156975","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":496159,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70331","text":"Publisher Index Page"},{"id":496016,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.51050707303654,\n 44.996426283603455\n ],\n [\n -117.51050707303654,\n 41.98536993997118\n ],\n [\n -110.93279337585523,\n 41.98536993997118\n ],\n [\n -110.93279337585523,\n 44.996426283603455\n ],\n [\n -117.51050707303654,\n 44.996426283603455\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"16","issue":"9","noUsgsAuthors":false,"publicationDate":"2025-09-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Arkle, Robert S. 0000-0003-3021-1389","orcid":"https://orcid.org/0000-0003-3021-1389","contributorId":218006,"corporation":false,"usgs":true,"family":"Arkle","given":"Robert","middleInitial":"S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":949392,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pilliod, David S. 0000-0003-4207-3518","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":216342,"corporation":false,"usgs":true,"family":"Pilliod","given":"David","middleInitial":"S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":949393,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jeffries, Michelle I. 0000-0003-1146-1331","orcid":"https://orcid.org/0000-0003-1146-1331","contributorId":202734,"corporation":false,"usgs":true,"family":"Jeffries","given":"Michelle","middleInitial":"I.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":949394,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Welty, Justin L. 0000-0001-7829-7324 jwelty@usgs.gov","orcid":"https://orcid.org/0000-0001-7829-7324","contributorId":216345,"corporation":false,"usgs":true,"family":"Welty","given":"Justin","email":"jwelty@usgs.gov","middleInitial":"L.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":949395,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moser, Ann","contributorId":201657,"corporation":false,"usgs":false,"family":"Moser","given":"Ann","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":949396,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ellsworth, Ethan A.","contributorId":201653,"corporation":false,"usgs":false,"family":"Ellsworth","given":"Ethan","email":"","middleInitial":"A.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":949397,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Major, Donald J.","contributorId":361757,"corporation":false,"usgs":false,"family":"Major","given":"Donald","middleInitial":"J.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":949398,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70267778,"text":"70267778 - 2025 - Fingerprinting magmatic REE deposit sources with zircon petrochronology","interactions":[],"lastModifiedDate":"2026-01-20T15:25:25.027285","indexId":"70267778","displayToPublicDate":"2025-09-15T10:57:23","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Fingerprinting magmatic REE deposit sources with zircon petrochronology","docAbstract":"Carbonatites and associated alkaline silicate rocks are of considerable economic interest due to their enrichments in rare earth elements. The petrogenesis and source(s) of these complexes, however, are poorly understood. Models propose either mantle plume-derived carbon-rich melts or a mantle source enriched by subduction-related metasomatism. We use zircon trace elements to fingerprint carbonatite-alkaline complex sources, focusing on the economically significant 1.4 Ga Mountain Pass intrusive suite (MPIS). Autocrystic zircon from MPIS alkaline silicate rocks are enriched in Th and U relative to Nb suggesting a subduction influenced, oxidized source region. Lower Sc/Yb, higher Ti concentrations, and the absence of Eu anomalies in autocrystic zircon suggest derivation from a less hydrous, hotter, and deeper mantle source relative to arc-related 1.8–1.6 Ga inherited zircon. These data are best explained by syn- to post-collisional Mesoproterozoic reactivation of a subduction-metasomatized mantle source. The source and tectonic setting of the MPIS contrasts with Mesoproterozoic Gifford Creek and Bayan Obo carbonatites which exhibit plume-like compositions and are associated with rifts, suggesting different sources and tectonic settings for these economically significant deposits. We demonstrate that zircon petrochronology is a robust method for distinguishing carbonatite sources and can inform more targeted exploration strategies for critical mineral resources.","conferenceTitle":"18th SGA Biennial Meeting","conferenceDate":"August 3-7, 2025","conferenceLocation":"Golden, CO","language":"English","publisher":"Society of Geology Applied to Mineral Deposits","usgsCitation":"Hillenbrand, I.W., Benson, E.K., Watts, K., and Thompson, J.M., 2025, Fingerprinting magmatic REE deposit sources with zircon petrochronology, 18th SGA Biennial Meeting, v. 2, Golden, CO, August 3-7, 2025, p. 647-650.","productDescription":"4 p.","startPage":"647","endPage":"650","ipdsId":"IP-175464","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":498749,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.e-sga.org/publications/conference-proceedings"},{"id":498750,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hillenbrand, Ian William 0000-0003-2801-3674","orcid":"https://orcid.org/0000-0003-2801-3674","contributorId":299032,"corporation":false,"usgs":true,"family":"Hillenbrand","given":"Ian","email":"","middleInitial":"William","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":938828,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benson, Erin Kay 0000-0003-3166-6043","orcid":"https://orcid.org/0000-0003-3166-6043","contributorId":346098,"corporation":false,"usgs":true,"family":"Benson","given":"Erin","email":"","middleInitial":"Kay","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":938829,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Watts, Kathryn E. 0000-0002-6110-7499","orcid":"https://orcid.org/0000-0002-6110-7499","contributorId":204344,"corporation":false,"usgs":true,"family":"Watts","given":"Kathryn E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":938830,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson, Jay M. 0000-0003-3322-0870","orcid":"https://orcid.org/0000-0003-3322-0870","contributorId":329664,"corporation":false,"usgs":true,"family":"Thompson","given":"Jay","middleInitial":"M.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":938831,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70272741,"text":"70272741 - 2025 - Paleoproterozoic vein graphite mineralization caused by decarbonation in the Ruby Range, Montana, USA","interactions":[],"lastModifiedDate":"2025-12-08T17:01:10.120498","indexId":"70272741","displayToPublicDate":"2025-09-15T10:55:32","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Paleoproterozoic vein graphite mineralization caused by decarbonation in the Ruby Range, Montana, USA","docAbstract":"Hydrothermal graphite veins are a possible source for modern battery materials and require better understanding of their carbon source(s) and absolute timing to develop mapable criteria for exploration models. We present new observations of graphite vein and alteration paragenesis and U-Pb LA-ICP-MS titanite age data from the Ruby prospect, Montana, USA, that constrain mineralization timing and source. The graphite veins cut high-temperature metamorphic rocks of the lower Christensen Range suite and are associated with intense diopside (Di0.69Hd0.27Jo0.04) alteration of marble. The oldest titanite ages in fresh marble and partially altered calc-silicate gneiss are ca. 2,500 – 2,450 Ma, show elevated REE values, and Eu/Eu* <1.5, consistent with growth during early regional metamorphism. Titanite in diopside-graphite alteration, interpreted as part of the hydrothermal vein-forming episode, cluster around 1,750 Ma, are characterized by lower REE values, and show Eu/Eu* >2; suggesting a low fO2 fluid generated from metamorphism during the Big Sky orogeny. Our paragenetic observations and titanite ages indicate graphite vein formation via skarnoid decarbonation reactions in marble late in regional orogenesis. Granulite-facies, carbonate-bearing, supracrustal rock terranes are thus favorable for hydrothermal graphite vein deposits.
","conferenceTitle":"18th SGA Biennial Meeting","conferenceDate":"August 3-7, 2025","conferenceLocation":"Golden, CO","language":"English","publisher":"Society for Geology Applied to Mineral Deposits","usgsCitation":"Case, G.N., Thompson, J.M., and Regan, S.P., 2025, Paleoproterozoic vein graphite mineralization caused by decarbonation in the Ruby Range, Montana, USA, 18th SGA Biennial Meeting, v. 1, Golden, CO, August 3-7, 2025, p. 197-200.","productDescription":"4 p.","startPage":"197","endPage":"200","ipdsId":"IP-175952","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":497205,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.e-sga.org/publications/conference-proceedings"},{"id":497206,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United STates","state":"Montana","otherGeospatial":"Ruby Range","volume":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Case, George N.D. 0000-0001-9826-5661 gcase@usgs.gov","orcid":"https://orcid.org/0000-0001-9826-5661","contributorId":224941,"corporation":false,"usgs":true,"family":"Case","given":"George","email":"gcase@usgs.gov","middleInitial":"N.D.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":951588,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, Jay M. 0000-0003-3322-0870","orcid":"https://orcid.org/0000-0003-3322-0870","contributorId":329664,"corporation":false,"usgs":true,"family":"Thompson","given":"Jay","middleInitial":"M.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":951589,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Regan, Sean P. 0000-0002-8445-5138","orcid":"https://orcid.org/0000-0002-8445-5138","contributorId":360816,"corporation":false,"usgs":false,"family":"Regan","given":"Sean","middleInitial":"P.","affiliations":[{"id":7211,"text":"University of Alaska, Fairbanks","active":true,"usgs":false}],"preferred":false,"id":951590,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70266124,"text":"70266124 - 2025 - Assessing United States gallium and germanium resources in basin-hosted deposits – The good and bad","interactions":[],"lastModifiedDate":"2026-02-05T14:34:55.032351","indexId":"70266124","displayToPublicDate":"2025-09-15T10:45:43","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Assessing United States gallium and germanium resources in basin-hosted deposits – The good and bad","docAbstract":"Basin-hosted Zn-Pb deposits, including MVT and clastic-dominated (CD or “Sedex”) Zn-Pb deposits are major sources of Zn and Pb, as well as other critical elements. We examined available whole rock and sphalerite chemistry data to understand the apparent variation of Ga and Ge among major current and historical districts of the United States (US). Robust data from the Central Tennessee district demonstrate Ga and Ge enrichment. Limited historical data suggesting anomalous concentrations in the nearby Central Kentucky and Illinois-Kentucky districts imply a possible similar fluid chemistry for Ga and Ge transport. The deposits of the Red Dog district, Alaska, also have anomalous concentrations of Ge, but not Ga. Our work demonstrates the utility of whole rock geochemistry to identify potential critical element resources. Highly qualitative estimates, based on geochemical data, indicate that these basin-hosted deposits contain Ge (and in the case of Central Tennessee, Ge and Ga) resources of potentially sufficient size to provide decades of resources if appropriate domestic processing is developed.","conferenceTitle":"18th SGA Biennial Meeting","conferenceDate":"August 3-7, 2025","conferenceLocation":"Golden, CO","language":"English","publisher":"Society for Geology Applied to Ore Deposits","usgsCitation":"Graham, G.E., and Tharalson, E., 2025, Assessing United States gallium and germanium resources in basin-hosted deposits – The good and bad, 18th SGA Biennial Meeting, v. 1, Golden, CO, August 3-7, 2025, p. 134-137.","productDescription":"4 p.","startPage":"134","endPage":"137","ipdsId":"IP-176763","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":499508,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.e-sga.org/publications/conference-proceedings"},{"id":499509,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Graham, Garth E. 0000-0003-0657-0365 ggraham@usgs.gov","orcid":"https://orcid.org/0000-0003-0657-0365","contributorId":1031,"corporation":false,"usgs":true,"family":"Graham","given":"Garth","email":"ggraham@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":934664,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tharalson, Erik Roger 0000-0002-3892-4458","orcid":"https://orcid.org/0000-0002-3892-4458","contributorId":353883,"corporation":false,"usgs":true,"family":"Tharalson","given":"Erik Roger","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":934665,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70272703,"text":"70272703 - 2025 - 40Ar/39Ar geochronology supporting mineral resources research at USGS Denver","interactions":[],"lastModifiedDate":"2025-12-05T16:45:20.687997","indexId":"70272703","displayToPublicDate":"2025-09-15T10:40:28","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"displayTitle":"40Ar/39Ar geochronology supporting mineral resources research at USGS Denver","title":"40Ar/39Ar geochronology supporting mineral resources research at USGS Denver","docAbstract":"The 40Ar/39Ar geochronology method is used to date potassium-bearing rocks and minerals, based on the decay of 40K to 40Ar, which provides important temporal constraints for geological events. The USGS Denver Argon Geochronology Laboratory dates samples from a variety of projects, mainly in the USGS Mineral Resource Program and the National Cooperative Geologic Mapping Program, facilitating in-depth research into the timing of geological events and processes. Recent applications of this method include geochronological studies in the Yellow Pine district, revealing mineralization ages that range from 51 to 70 Ma, and investigations into the Bear Lodge alkaline complex, providing insights into the timing of REE carbonatite formation. Additionally, studies at Alunite Ridge highlight the method's potential for understanding concealed mineral deposits. Ongoing projects continue to leverage 40Ar/39Ar data to enhance understanding of geologic frameworks and mineral resources, underpinning its importance in modern geochronology and mineral resource assessment.
","conferenceTitle":"18th SGA Biennial Meeting","conferenceDate":"August 3-7, 2025","conferenceLocation":"Golden, CO","language":"English","publisher":"Society for Geology Applied to Mineral Deposits","usgsCitation":"Morgan, L.E., and Mercer, C.M., 2025, 40Ar/39Ar geochronology supporting mineral resources research at USGS Denver, 18th SGA Biennial Meeting, v. 3, Golden, CO, August 3-7, 2025, p. 1150-1152.","productDescription":"3 p.","startPage":"1150","endPage":"1152","ipdsId":"IP-175512","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":497151,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.e-sga.org/publications/conference-proceedings"},{"id":497150,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Morgan, Leah E. 0000-0001-9930-524X lemorgan@usgs.gov","orcid":"https://orcid.org/0000-0001-9930-524X","contributorId":176174,"corporation":false,"usgs":true,"family":"Morgan","given":"Leah","email":"lemorgan@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":951375,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":951376,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70266156,"text":"70266156 - 2025 - Seamless Geologic Map Database for the Intermountain West, United States: A foundational dataset for mineral systems analysis","interactions":[],"lastModifiedDate":"2026-02-04T16:44:01.554627","indexId":"70266156","displayToPublicDate":"2025-09-15T10:39:09","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Seamless Geologic Map Database for the Intermountain West, United States: A foundational dataset for mineral systems analysis","docAbstract":"The Intermountain West has a complex geologic history, resulting in the formation of a diverse array of mineral deposits. Effective mineral exploration requires understanding the spatial and temporal relationships among geologic processes and events, a key focus of the mineral systems approach to exploration. This paper presents the Intermountain West Seamless Geologic Map Database, a unified dataset designed to support mineral exploration. Integrating geologic provinces, structural settings, and hydrothermal alteration, the database leverages the Seamless Integrated Geologic Mapping (SIGMa) extension to the USGS Geologic Map Schema (GeMS) to standardize geologic data from varied sources. SIGMa's hierarchical stratigraphic organization and feature-level metadata enhance data interoperability and reusability, enabling seamless query, analysis, and visualization of lithology, structural features, mineral deposits, geochronology, hydrothermal alteration. volcanic activity, and By providing a regionally consistent and dynamically evolving geologic map, this database provides a foundational framework for mineral exploration and geologic research. It also allows for an efficient workflow that expedites the publication of integrated geologic map databases.
","conferenceTitle":"18th SGA Biennial Meeting","conferenceDate":"August 3-7, 2025","conferenceLocation":"Golden, CO","language":"English","publisher":"Society of Geology Applied to Mineral Deposits (SGA)","usgsCitation":"Gilmer, A.K., Turner, K.J., Workman, J.B., Thompson, R.A., Schwartz, T.M., and Ruleman, C.A., 2025, Seamless Geologic Map Database for the Intermountain West, United States: A foundational dataset for mineral systems analysis, 18th SGA Biennial Meeting, v. 3, Golden, CO, August 3-7, 2025, p. 1110-1113.","productDescription":"4 p.","startPage":"1110","endPage":"1113","ipdsId":"IP-176090","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":499507,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":499506,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.e-sga.org/publications/conference-proceedings"}],"volume":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gilmer, Amy K. 0000-0001-5038-8136","orcid":"https://orcid.org/0000-0001-5038-8136","contributorId":218307,"corporation":false,"usgs":true,"family":"Gilmer","given":"Amy","email":"","middleInitial":"K.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":934759,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Turner, Kenzie J. 0000-0002-4940-3981 kturner@usgs.gov","orcid":"https://orcid.org/0000-0002-4940-3981","contributorId":496,"corporation":false,"usgs":true,"family":"Turner","given":"Kenzie","email":"kturner@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":934760,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Workman, Jeremiah B. 0000-0001-7816-6420 jworkman@usgs.gov","orcid":"https://orcid.org/0000-0001-7816-6420","contributorId":714,"corporation":false,"usgs":true,"family":"Workman","given":"Jeremiah","email":"jworkman@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":934761,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson, Ren A. 0000-0002-3044-3043 rathomps@usgs.gov","orcid":"https://orcid.org/0000-0002-3044-3043","contributorId":1265,"corporation":false,"usgs":true,"family":"Thompson","given":"Ren","email":"rathomps@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":934762,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schwartz, Theresa Maude 0000-0001-6606-4072","orcid":"https://orcid.org/0000-0001-6606-4072","contributorId":245180,"corporation":false,"usgs":true,"family":"Schwartz","given":"Theresa","email":"","middleInitial":"Maude","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":934763,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ruleman, Chester A. 0000-0002-1503-4591 cruleman@usgs.gov","orcid":"https://orcid.org/0000-0002-1503-4591","contributorId":1264,"corporation":false,"usgs":true,"family":"Ruleman","given":"Chester","email":"cruleman@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":934764,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70271485,"text":"70271485 - 2025 - Water temperature regimes and thermal drivers in semi-natural and flow-regulated rivers of the northern Great Plains","interactions":[],"lastModifiedDate":"2025-12-15T16:35:21.447687","indexId":"70271485","displayToPublicDate":"2025-09-15T09:39:41","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Water temperature regimes and thermal drivers in semi-natural and flow-regulated rivers of the northern Great Plains","docAbstract":"Rivers of the northern Great Plains have lacked long-term, continuous water temperature assessments, and there is limited information on thermal regimes of these systems and factors driving water temperature. We collected and assembled 2001–2022 water temperature data from 18 sites on four reaches of three rivers that differ in anthropogenic impacts: semi-natural Yellowstone River (YR), flow-impacted Milk River (MK), 351-km of the Missouri River affected by hypolimnetic releases from Fort Peck Dam (FPD), and the semi-natural Missouri River (MR3093) upstream from FPD. Objectives were to: (1) compare May–September mean daily water temperature (Tw), day of year of maximum water temperature (Tmaxdoy), and maximum water temperature (Twmax) among reaches, (2) evaluate air temperature (Ta), river discharge (Qw), and dam-release water temperature (Twdam) as Tw drivers, and (3) model longitudinal recovery of Tw downstream from FPD. Mean Tw and Twmax were greatest at the YR, MR3093 and MK sites, and significantly less through 291-km downstream from FPD. Tmaxdoy at initial sites downstream from FPD was delayed 43–69 days relative to the semi-natural reach upstream from FPD. Ta was the primary correlate of Tw for the semi-natural sites; whereas, Twdam and Ta varied inversely as primary drivers for sites downstream from FPD. Thermal recovery from hypolimnetic releases was incomplete 291-km downstream from FPD and warming persisted 351-km downstream. Results quantify the varied water temperature regimes of rivers in the northern Great Plains and improve understanding of controls affecting Tw among reaches. Water temperature attributes of semi-natural reaches could be used as restoration targets for 300-km of Missouri River presently impacted by hypolimnetic releases.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.70040","usgsCitation":"Braaten, P., Ritter, T.D., Haddix, T.M., Fuller, D.B., Hunziker, J.R., and Hargrave, J.G., 2025, Water temperature regimes and thermal drivers in semi-natural and flow-regulated rivers of the northern Great Plains: River Research and Applications, v. 41, no. 10, p. 2073-2091, https://doi.org/10.1002/rra.70040.","productDescription":"19 p.","startPage":"2073","endPage":"2091","ipdsId":"IP-173819","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":495744,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.70040","text":"Publisher Index Page"},{"id":495708,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, North Dakota","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -109.74009289929737,\n 48.87888526247494\n ],\n [\n -109.74009289929737,\n 46.45771203249336\n ],\n [\n -103.34512548963949,\n 46.45771203249336\n ],\n [\n -103.34512548963949,\n 48.87888526247494\n ],\n [\n -109.74009289929737,\n 48.87888526247494\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"41","issue":"10","noUsgsAuthors":false,"publicationDate":"2025-09-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Braaten, Patrick 0000-0003-3362-420X pbraaten@usgs.gov","orcid":"https://orcid.org/0000-0003-3362-420X","contributorId":152682,"corporation":false,"usgs":true,"family":"Braaten","given":"Patrick","email":"pbraaten@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":948921,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ritter, T. David","contributorId":361493,"corporation":false,"usgs":false,"family":"Ritter","given":"T.","middleInitial":"David","affiliations":[{"id":78382,"text":"formerly Columbia Environmental Research Center","active":true,"usgs":false}],"preferred":false,"id":948922,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haddix, Tyler M.","contributorId":361495,"corporation":false,"usgs":false,"family":"Haddix","given":"Tyler","middleInitial":"M.","affiliations":[{"id":37431,"text":"Montana Fish, Wildlife and Parks","active":true,"usgs":false}],"preferred":false,"id":948923,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fuller, David B.","contributorId":361497,"corporation":false,"usgs":false,"family":"Fuller","given":"David","middleInitial":"B.","affiliations":[{"id":37431,"text":"Montana Fish, Wildlife and Parks","active":true,"usgs":false}],"preferred":false,"id":948924,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hunziker, John R.","contributorId":361499,"corporation":false,"usgs":false,"family":"Hunziker","given":"John","middleInitial":"R.","affiliations":[{"id":37431,"text":"Montana Fish, Wildlife and Parks","active":true,"usgs":false}],"preferred":false,"id":948925,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hargrave, John G.","contributorId":361501,"corporation":false,"usgs":false,"family":"Hargrave","given":"John","middleInitial":"G.","affiliations":[{"id":13502,"text":"US Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":948926,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70271446,"text":"70271446 - 2025 - Hyperspectral imaging of river bathymetry using an ensemble of regression trees","interactions":[],"lastModifiedDate":"2025-09-16T14:29:31.078808","indexId":"70271446","displayToPublicDate":"2025-09-15T09:20:35","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Hyperspectral imaging of river bathymetry using an ensemble of regression trees","docAbstract":"Remote sensing has emerged as an effective tool for characterizing river systems, and machine learning (ML) techniques could make this approach even more powerful. To explore this possibility, we developed an ML-based workflow for hyperspectral imaging of river bathymetry using an ensemble of regression trees (HIRBERT). This approach involves using paired observations of depth and reflectance to select wavelength bands as predictors and then train a depth retrieval model; applying the model to the image yields a spatially continuous bathymetric map. We used data from five rivers with diverse morphologies and optical characteristics to assess whether HIRBERT can (1) provide more accurate depth estimates than a band ratio-based algorithm and (2) extend the range of depths detectable via remote sensing. Relative to single band combinations identified via optimal band ratio analysis (OBRA), regression tree ensembles improved depth retrieval performance, with observed versus predicted (OP) regression R2 values increasing for all five sites. Similarly, HIRBERT provided more reliable depth estimates than OBRA over the full range of depths present along each river. These results suggest that by incorporating additional spectral information from multiple wavelength bands, ML could enhance bathymetric mapping across a range of river environments. In addition, we show how graphical tools can facilitate interpretation of ML-based depth retrieval models and yield insight regarding relationships between depth and reflectance. The HIRBERT workflow is packaged in free, standalone software developed to support applications in river research and management. Although ML can enhance remote sensing of river bathymetry, the limitations of this approach must also be acknowledged: Field measurements of water depth are required to train a depth retrieval model and the resulting model should only be applied to the image from which the training data were derived. The inherently image-specific nature of this approach implies that developing generalized regression tree ensembles that could be applied at larger scales would require additional research.
","language":"English","publisher":"Wiley","doi":"10.1002/esp.70155","usgsCitation":"Legleiter, C.J., Kinzel, P.J., Overstreet, B., and Harrison, L.R., 2025, Hyperspectral imaging of river bathymetry using an ensemble of regression trees: Earth Surface Processes and Landforms, v. 50, no. 12, e70155, 20 p., https://doi.org/10.1002/esp.70155.","productDescription":"e70155, 20 p.","ipdsId":"IP-176358","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":495594,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Idaho, Nebraska, Oregon, Wyoming","otherGeospatial":"Deschutes River, Kootenai River, Niobrara River, Sacramento River, Snake River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -126.50208043183841,\n 49\n ],\n [\n -126.50208043183841,\n 38.571428742902185\n ],\n [\n -99.8528658799654,\n 38.571428742902185\n ],\n [\n -99.8528658799654,\n 49\n ],\n [\n -126.50208043183841,\n 49\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"50","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Legleiter, Carl J. 0000-0003-0940-8013 cjl@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-8013","contributorId":169002,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"cjl@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":948790,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kinzel, Paul J. 0000-0002-6076-9730 pjkinzel@usgs.gov","orcid":"https://orcid.org/0000-0002-6076-9730","contributorId":743,"corporation":false,"usgs":true,"family":"Kinzel","given":"Paul","email":"pjkinzel@usgs.gov","middleInitial":"J.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":948791,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Overstreet, Brandon 0000-0001-7845-6671 boverstreet@usgs.gov","orcid":"https://orcid.org/0000-0001-7845-6671","contributorId":169201,"corporation":false,"usgs":true,"family":"Overstreet","given":"Brandon","email":"boverstreet@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":948792,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harrison, Lee R. 0000-0002-5219-9280","orcid":"https://orcid.org/0000-0002-5219-9280","contributorId":361416,"corporation":false,"usgs":false,"family":"Harrison","given":"Lee","middleInitial":"R.","affiliations":[{"id":18933,"text":"NOAA Southwest Fisheries Science Center","active":true,"usgs":false}],"preferred":false,"id":948793,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70271695,"text":"70271695 - 2025 - A soil velocity model for improved ground motion simulations in the U. S. Pacific Northwest","interactions":[],"lastModifiedDate":"2025-09-19T15:07:45.204834","indexId":"70271695","displayToPublicDate":"2025-09-15T07:53:03","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17454,"text":"Seismica","active":true,"publicationSubtype":{"id":10}},"title":"A soil velocity model for improved ground motion simulations in the U. S. Pacific Northwest","docAbstract":"Near-surface seismic velocity structure may significantly impact the intensity, duration, and frequency content of ground shaking during an earthquake. In this study, we compile 649 shear wave velocity (Vs) profiles throughout the U.S. Pacific Northwest and southern British Columbia (PNW) and use these measured profiles to develop a representative soil velocity model for four major Holocene soil provinces: Puget Lowlands, Willamette Valley, fill and alluvium, and `other' soils. The resulting soil velocity model shows good agreement to measured data for a wide range of site conditions, with variability between different geologic domains reflecting fundamental differences in depositional environments. We then show that using this regional soil velocity model in simulations of the 2001 M6.8 Nisqually, Washington earthquake improves the fit to observed high-frequency (≥ 0.5 Hz) ground motions in the Puget Sound region compared to simulations that do not incorporate shallow (≤ 200 m) seismic velocity structure. Overall, this work shows that incorporating localized soil velocity profiles into seismic velocity models is important for accurately estimating high-frequency ground motion and regional seismic hazard in earthquake simulations. Future earthquake simulations and hazard studies in the PNW could incorporate these soil velocity profiles to capture the region's distinct site response characteristics.
","language":"English","publisher":"OJS/PKP","doi":"10.26443/seismica.v4i2.1672","usgsCitation":"Grant, A.R., Wirth, E.A., and Stone, I.P., 2025, A soil velocity model for improved ground motion simulations in the U. S. Pacific Northwest: Seismica, v. 4, no. 2, 16 p., https://doi.org/10.26443/seismica.v4i2.1672.","productDescription":"16 p.","ipdsId":"IP-177573","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":496140,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.26443/seismica.v4i2.1672","text":"Publisher Index Page"},{"id":495803,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.85877339027735,\n 49.01554453682621\n ],\n [\n -123.85877339027735,\n 47.33372471262203\n ],\n [\n -121.59818867979942,\n 47.33372471262203\n ],\n [\n -121.59818867979942,\n 49.01554453682621\n ],\n [\n -123.85877339027735,\n 49.01554453682621\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"4","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-09-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Grant, Alex R. 0000-0002-5096-4305","orcid":"https://orcid.org/0000-0002-5096-4305","contributorId":219066,"corporation":false,"usgs":true,"family":"Grant","given":"Alex","middleInitial":"R.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":949044,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wirth, Erin A. 0000-0002-8592-4442","orcid":"https://orcid.org/0000-0002-8592-4442","contributorId":207853,"corporation":false,"usgs":true,"family":"Wirth","given":"Erin","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":949045,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stone, Ian P. 0000-0003-2622-2691","orcid":"https://orcid.org/0000-0003-2622-2691","contributorId":293630,"corporation":false,"usgs":true,"family":"Stone","given":"Ian","middleInitial":"P.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":949046,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70271448,"text":"70271448 - 2025 - Decision support tools for brown pelican management in the northern Gulf of America (Gulf of Mexico)","interactions":[],"lastModifiedDate":"2025-11-21T22:11:02.518963","indexId":"70271448","displayToPublicDate":"2025-09-15T07:45:11","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":"Decision support tools for brown pelican management in the northern Gulf of America (Gulf of Mexico)","docAbstract":"Management plans with clear priorities can help to achieve brown pelican Pelecanus occidentalis conservation objectives in the northern Gulf of America (Gulf of Mexico). Efforts to establish clear priorities can be hindered by information gaps, especially those related to the uncertainty associated with changing conditions that influence brown pelican populations. We addressed these gaps by creating a model that uses island-specific conditions (e.g., geomorphology; predator-related conditions; brown pelican terrestrial nesting, roosting, and loafing habitats) to predict the nest count as a proxy for breeding pairs on the island. We used the model and 2000–2015 brown pelican nest count data to estimate if breeding pair targets that we identified or estimated for 10 U.S Fish and Wildlife Service Gulf Coast Biological Planning Units were met while accounting for uncertainty. Our results indicate that breeding pair targets were met in 7 of the 10 units by existing conditions. Our confidence in judging nest deficits tended to decrease from west to east because the model over-predicted total nests in the east Gulf Coast. Using an island from our data, we show how the model could be used to quantify the uncertainty of nest count outcomes under simulated changes in island conditions. The model indicated that the island's existing conditions most probably result in nests (probability = 0.51) and that increasing the area of nesting habitat (shrubs) could increase the probability of nests from 49% to 70%. Increasing shrub habitat in the model also increased nest count uncertainty by 60%, but this was due to a greater probability of larger nest counts. Our model suggests that nest count uncertainty could be reduced by improving data on island size, shrub area, and predator presence, depending on the unit and how isolated the island is from the mainland. These tools could help managers understand and incorporate the uncertainty associated with creating island conditions that are intended to help achieve brown pelican conservation objectives.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.70103","usgsCitation":"Cronin, J.P., Tirpak, B., Dale, L.L., Robenski, V.L., Tirpak, J.M., Wilson, B.C., Vermillion, W.G., and Schoolmaster, D.R., 2025, Decision support tools for brown pelican management in the northern Gulf of America (Gulf of Mexico): Journal of Wildlife Management, v. 89, no. 8, e70103, 20 p., https://doi.org/10.1002/jwmg.70103.","productDescription":"e70103, 20 p.","ipdsId":"IP-140380","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":495598,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Florida, Louisiana, Mississippi, Texas","otherGeospatial":"Gulf of America","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -97.5084812535037,\n 29.23655829920672\n ],\n [\n -97.80290228785537,\n 25.370449130055917\n ],\n [\n -80.69650208536123,\n 24.779624492928477\n ],\n [\n -83.47993279622662,\n 30.702187900532124\n ],\n [\n -94.73880975756701,\n 30.697298309312025\n ],\n [\n -97.5084812535037,\n 29.23655829920672\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"89","issue":"8","noUsgsAuthors":false,"publicationDate":"2025-09-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Cronin, James P. 0000-0001-6791-5828 jcronin@usgs.gov","orcid":"https://orcid.org/0000-0001-6791-5828","contributorId":5834,"corporation":false,"usgs":true,"family":"Cronin","given":"James","email":"jcronin@usgs.gov","middleInitial":"P.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":948794,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tirpak, Blair E. 0000-0002-2679-8378","orcid":"https://orcid.org/0000-0002-2679-8378","contributorId":343682,"corporation":false,"usgs":false,"family":"Tirpak","given":"Blair E.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":948795,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dale, Leah L. 0000-0002-3480-9954","orcid":"https://orcid.org/0000-0002-3480-9954","contributorId":243547,"corporation":false,"usgs":false,"family":"Dale","given":"Leah","middleInitial":"L.","affiliations":[{"id":48726,"text":"Cherokee Nations Technology Solutions","active":true,"usgs":false}],"preferred":false,"id":948796,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robenski, Virginia L.","contributorId":243548,"corporation":false,"usgs":false,"family":"Robenski","given":"Virginia","middleInitial":"L.","affiliations":[{"id":48726,"text":"Cherokee Nations Technology Solutions","active":true,"usgs":false}],"preferred":false,"id":948797,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tirpak, John M. 0000-0003-1937-9754","orcid":"https://orcid.org/0000-0003-1937-9754","contributorId":361417,"corporation":false,"usgs":false,"family":"Tirpak","given":"John","middleInitial":"M.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":948798,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wilson, Barry C.","contributorId":361418,"corporation":false,"usgs":false,"family":"Wilson","given":"Barry","middleInitial":"C.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":948799,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Vermillion, William G.","contributorId":361419,"corporation":false,"usgs":false,"family":"Vermillion","given":"William","middleInitial":"G.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":948800,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schoolmaster, Donald R. Jr. 0000-0003-0910-4458","orcid":"https://orcid.org/0000-0003-0910-4458","contributorId":221551,"corporation":false,"usgs":true,"family":"Schoolmaster","given":"Donald","suffix":"Jr.","middleInitial":"R.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":948801,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70271451,"text":"70271451 - 2025 - Alteration mapping in granitic gneiss using handheld geophysical and geochemical instruments: Implications for iron oxide-apatite and rare earth elements exploration","interactions":[],"lastModifiedDate":"2025-09-16T14:19:09.963501","indexId":"70271451","displayToPublicDate":"2025-09-13T09:11:59","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":22359,"text":"Ore and Energy Resource Geology","active":true,"publicationSubtype":{"id":10}},"title":"Alteration mapping in granitic gneiss using handheld geophysical and geochemical instruments: Implications for iron oxide-apatite and rare earth elements exploration","docAbstract":"The Cretaceous Mancos Shale is a geologic source of selenium in the lower Gunnison River Basin. Natural weathering processes and human activity mobilize selenium from the Mancos Shale and derived materials, and surface water, groundwater, and sediment all affect the transport of selenium from source areas to receiving streams and biota. Selenium accumulates through the aquatic food chain, and its toxic effects can result in invertebrate mortality and mortality, decreased reproduction, and deformities to fish and birds. The Bureau of Reclamation, in cooperation with the State of Colorado and Gunnison River Basin water users, is implementing a Selenium Management Program to reduce selenium concentrations in the lower Gunnison River Basin of Colorado. Goals of the Selenium Management Program are to (1) achieve compliance with the State of Colorado chronic aquatic-life standard for dissolved selenium (4.6 micrograms per liter) in the Gunnison River near Grand Junction, Colorado; (2) sufficiently improve water-quality conditions to assist in the recovery of endangered species in the Gunnison and Colorado Rivers by reducing selenium concentrations; and (3) support continued water uses in the basin.
Many previous studies have contributed to the understanding of selenium in the environment; however, monitoring and research data gaps exist in the lower Gunnison River Basin. The purpose of this report is to summarize information regarding selenium in the lower Gunnison River Basin and describe strategies for scientific research and monitoring to potentially improve understanding of selenium sources; processes affecting the mobilization, transport, and fate of selenium; and the effects of selenium-mitigation projects in the lower Gunnison River Basin. Monitoring and research data gaps discussed in this report include geologic mapping and geochemical source characterization, long-term and ongoing monitoring of the surface-water and groundwater networks, developing and refining statistical models, characterizing selenium on suspended sediment, modeling selenium in the food web, evaluating best management practices, and more.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/cir1559","collaboration":"Prepared in cooperation with the Colorado Water Conservation Board, the Bureau of Reclamation, the Colorado River Water Conservation District, the U.S. Fish and Wildlife Service, the Bureau of Land Management, and the Natural Resources Conservation Service","usgsCitation":"Gidley, R.G., Leib, K.J., and Williams, C.A., 2025, Summary of selenium in the lower Gunnison River Basin, Colorado—Information and data gaps: U.S. Geological Survey Circular 1559, 44 p., https://doi.org/10.3133/cir1559.","productDescription":"vi, 44 p.","onlineOnly":"Y","ipdsId":"IP-139023","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":495449,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/cir1559/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"Circular 1559"},{"id":496026,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118831.htm","linkFileType":{"id":5,"text":"html"}},{"id":495259,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1559/cir1559.pdf","text":"Report","size":"36.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Circular 1559"},{"id":495258,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1559/coverthb.jpg"},{"id":495444,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/circ/1559/cir1559.xml"},{"id":495443,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/circ/1559/images"}],"country":"United States","state":"Colorado","otherGeospatial":"Lower Gunnison River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -109,\n 39.5\n ],\n [\n -109,\n 37.5\n ],\n [\n -106.5,\n 37.5\n ],\n [\n -106.5,\n 39.5\n ],\n [\n -109,\n 39.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Colorado Water Science Center
U.S. Geological Survey
Box 25046, Mail Stop 415
Denver, CO 80225
A mineral systems approach to mineral exploration provides a comprehensive framework for understanding ore deposit formation by examining the geodynamic, magmatic, hydrothermal, and sedimentary processes responsible for mineralization, alteration, and remobilization of economic mineral deposits. Temporal and thermal constraints on ore genesis are crucial for refining mineral system models and guiding predictive exploration strategies. Geochronology and thermochronology offer invaluable insights into the timing and thermal evolution of ore-forming processes, whereas isotopic analyses provide critical information on the source and geochemical history of ore-forming fluids. Combining these methodologies have proven highly effective for mineral exploration in regions like Australia, however, their combined application has been limited in the United States.
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","conferenceTitle":"18th SGA Biennial Meeting","conferenceDate":"August 3-7, 2025","conferenceLocation":"Golden, CO","language":"English","publisher":"Society of Geology Applied to Mineral Deposits","usgsCitation":"Thomson, K.D., Hillenbrand, I.W., Gilmer, A.K., Morgan, L.E., Engle, Z.T., and Miller, A.T., 2025, Enhancing mineral systems exploration through geochronology, thermochronology, and isotope analysis: USGS Geochron and USGS Isotope databases, 18th SGA Biennial Meeting, v. 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The U.S. Geological Survey is actively assessing domestic lithium deposits including lithium-bearing pegmatites in the Appalachian orogen. Permissive tracts for lithium pegmatite deposits were delineated by integrating lithological, tectonic, geochemical, geophysical, and mineral occurrence data. The geospatial data and permissive tracts were used to estimate the number of undiscovered lithium pegmatite deposits. Estimates were then integrated into probabilistic simulations along with a new global lithium pegmatite grade and tonnage dataset to quantify potential contained undiscovered lithium resources. An economic filter was used to estimate the amount of potentially recoverable undiscovered resources. Preliminary computations for the northern Appalachians, including application of the economic filter to the median recoverable contained resource, yields 900,000 metric tons of Li2O that correspond to enough Li2O to replace 127 years of import reliance at the current rate (7,100 t Li2O/yr; USGS, 2025). For the southern Appalachians, preliminary computations yielded 1,430,000 metric tons of Li2O, which corresponds to 201 years of import reliance.
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]\n}","volume":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wintzer, Niki E. 0000-0003-3085-435X nwintzer@usgs.gov","orcid":"https://orcid.org/0000-0003-3085-435X","contributorId":5297,"corporation":false,"usgs":true,"family":"Wintzer","given":"Niki","email":"nwintzer@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":944270,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosera, Joshua Mark 0000-0003-3807-5000","orcid":"https://orcid.org/0000-0003-3807-5000","contributorId":270284,"corporation":false,"usgs":true,"family":"Rosera","given":"Joshua","email":"","middleInitial":"Mark","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":944271,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holm-Denoma, Christopher S. 0000-0003-3229-5440","orcid":"https://orcid.org/0000-0003-3229-5440","contributorId":219763,"corporation":false,"usgs":true,"family":"Holm-Denoma","given":"Christopher S.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":944272,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCaffrey, Dalton M. 0000-0002-2539-4865","orcid":"https://orcid.org/0000-0002-2539-4865","contributorId":298840,"corporation":false,"usgs":true,"family":"McCaffrey","given":"Dalton","middleInitial":"M.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":944273,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Crocker, Kelsey Elizabeth 0000-0002-5919-5274","orcid":"https://orcid.org/0000-0002-5919-5274","contributorId":298791,"corporation":false,"usgs":true,"family":"Crocker","given":"Kelsey 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sediment-hosted copper porphyry system. The prospect is at the nexus of several Cretaceous granites, including the pre-mineralization Butte Granite and Big Hole Canyon plutons and local pre- to post-mineralization granite intrusions. Here, 3D magnetic inversions and stable isotope data are used to evaluate the spatial and genetic relationship of mineralization and Cretaceous magmatism. Magnetic inversions reveal a zone of high magnetic susceptibility beneath the prospect that is related to an exposure of unaltered, likely post-mineralization granite. The granite appears to connect to the Big Hole Canyon pluton at depth, suggesting it is a late-stage differentiate of the cooling, pre-mineralization pluton that may have been one of several potential heat sources for the mineral system at Clementine. This is supported by carbon isotope values of graphite that indicate organic material in shale of the Cretaceous Kootenai Formation was subject to metamorphism. Preliminary light hydrogen isotope values of actinolite hydrothermal orbs suggest formation following magmatic outgassing during thermal advection from an underlying intrusion.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 18th Biennial SGA Meeting","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Society for Geology Applied to Mineral Deposits","usgsCitation":"Magnin, B.P., McIntosh, J.A., and Brimhall, G.H., 2025, Comparing magmatism and hydrothermal alteration using magnetic modelling and stable isotopes at the Clementine porphyry copper prospect, Montana, USA, in Proceedings of the 18th Biennial SGA Meeting, v. 2, p. 471-474.","productDescription":"4 p.","startPage":"471","endPage":"474","ipdsId":"IP-175774","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":495631,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":495608,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.e-sga.org/publications/conference-proceedings"}],"country":"United States","state":"Montana","otherGeospatial":"Clementine prospect","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -113,\n 45.9167\n ],\n [\n -113,\n 45.5\n ],\n [\n -112.5,\n 45.5\n ],\n [\n -112.5,\n 45.9167\n ],\n [\n -113,\n 45.9167\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Magnin, Benjamin Patrick 0000-0001-9951-4404","orcid":"https://orcid.org/0000-0001-9951-4404","contributorId":300679,"corporation":false,"usgs":true,"family":"Magnin","given":"Benjamin","email":"","middleInitial":"Patrick","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":948882,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McIntosh, Julia A. 0000-0003-2819-8664","orcid":"https://orcid.org/0000-0003-2819-8664","contributorId":331662,"corporation":false,"usgs":true,"family":"McIntosh","given":"Julia","email":"","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":948883,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brimhall, George H.","contributorId":361483,"corporation":false,"usgs":false,"family":"Brimhall","given":"George","middleInitial":"H.","affiliations":[{"id":86298,"text":"Clementine Exploration LLC","active":true,"usgs":false}],"preferred":false,"id":948884,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70271512,"text":"70271512 - 2025 - Mine waste as a potential source of critical minerals and other commodities: Examples from the Four Corners states, USA","interactions":[],"lastModifiedDate":"2025-09-18T14:02:23.440156","indexId":"70271512","displayToPublicDate":"2025-09-12T08:50:58","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Mine waste as a potential source of critical minerals and other commodities: Examples from the Four Corners states, USA","docAbstract":"The growing demand for critical minerals and other mineral resources has raised concerns about possible supplies of these essential commodities. Mine waste is a potential source of these essential commodities. We compiled a geospatial database of publicly available data of the largest non-fuel mine waste features (>200,000 m2 in areal extent) in the Four Corners states of the United States, where most of those features are from porphyry Cu deposits. The combined volume of those large porphyry Cu mine waste features is approximately 17 cubic kilometers, 60% of which is ore-related material such as tailings. Using publicly available data on density, grade, and previous recovery values, we estimate the contained endowments of Ag, As, Au, Bi, Cu, Mo, Re, S, Sb, Se, Te, and W. These estimates indicate endowments within ore-related mine wastes are collectively comparable to endowments of giant to supergiant deposits. If fully recovered, these commodities could meet current global demand from less than 1 year (Sb) to more than 200 years (Re), underscoring the enormous untapped resource potential of mine waste.
","conferenceTitle":"18th SGA Biennial Meeting","conferenceDate":"August 3-7, 2025","conferenceLocation":"Golden, CO","language":"English","publisher":"Society of Geology Applied to Mineral Deposits","usgsCitation":"Mauk, J.L., Gaynor, S.P., Karl, N., and Smith, A.F., 2025, Mine waste as a potential source of critical minerals and other commodities: Examples from the Four Corners states, USA, 18th SGA Biennial Meeting, v. 3, Golden, CO, August 3-7, 2025, p. 916-919.","productDescription":"4 p.","startPage":"916","endPage":"919","ipdsId":"IP-177538","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":495704,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":495686,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.e-sga.org/publications/conference-proceedings"}],"country":"United States","state":"Arizona, Colorado, New Mexico, 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\"}}]}","volume":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mauk, Jeffrey L. 0000-0002-6244-2774 jmauk@usgs.gov","orcid":"https://orcid.org/0000-0002-6244-2774","contributorId":4101,"corporation":false,"usgs":true,"family":"Mauk","given":"Jeffrey","email":"jmauk@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":948985,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gaynor, Sean Patrick 0000-0002-8353-511X","orcid":"https://orcid.org/0000-0002-8353-511X","contributorId":346264,"corporation":false,"usgs":true,"family":"Gaynor","given":"Sean","email":"","middleInitial":"Patrick","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":948986,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Karl, Nick 0000-0003-2858-2498 nkarl@usgs.gov","orcid":"https://orcid.org/0000-0003-2858-2498","contributorId":178317,"corporation":false,"usgs":true,"family":"Karl","given":"Nick","email":"nkarl@usgs.gov","affiliations":[],"preferred":true,"id":948987,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Andrew Francis 0000-0002-7908-6091","orcid":"https://orcid.org/0000-0002-7908-6091","contributorId":360587,"corporation":false,"usgs":true,"family":"Smith","given":"Andrew","middleInitial":"Francis","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":948988,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70271704,"text":"70271704 - 2025 - Airborne radiometric data map alteration of porphyry copper systems in the Elkhorn district, MT","interactions":[],"lastModifiedDate":"2025-09-19T13:42:47.938711","indexId":"70271704","displayToPublicDate":"2025-09-12T08:24:03","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Airborne radiometric data map alteration of porphyry copper systems in the Elkhorn district, MT","docAbstract":"The Elkhorn district in southwestern Montana is known for past production of high-grade base and precious metals from skarn and carbonate replacement deposits. The district also hosts a porphyry Cu-Mo deposit. A radiometric survey flown over the district and surrounds provides maps of surficial concentrations of potassium, thorium, and uranium. Handheld gamma ray spectrometer measurements on altered and unaltered rocks in the district and surrounding region provide a means to ground truth the airborne data. We demonstrate that the airborne and ground-based measurements show similar map patterns. We calculate ratios of the radioelement concentrations and present a potassium enhancement map that combines potassium and ratios of potassium to thorium and uranium. The results highlight the rocks previously mapped as having K-feldspar-biotite and quartz-sericite alteration assemblages in the Elkhorn district and map additional hydrothermal systems in the region, including known alteration in the Radersburg district. The data enhancement techniques can be used as a screening tool for mapping additional porphyry copper systems.
","conferenceTitle":"18th SGA Biennial Meeting","conferenceDate":"August 3-7, 2025","conferenceLocation":"Golden, CO","language":"English","publisher":"Society for Geology Applied to Mineral Deposits","usgsCitation":"Anderson, E., Scarberry, K., Eastman, K., Funk, J.A., Magnin, B.P., Clevenger, J., Dilles, J., Zimmerman, J.L., Attia, S., and Cosca, M., 2025, Airborne radiometric data map alteration of porphyry copper systems in the Elkhorn district, MT, 18th SGA Biennial Meeting, v. 3, Golden, CO, August 3-7, 2025, p. 1200-1203.","productDescription":"4 p.","startPage":"1200","endPage":"1203","ipdsId":"IP-177511","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":495774,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.e-sga.org/publications/conference-proceedings#c345"},{"id":495778,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Elkhorn district","volume":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Anderson, Eric D. 0000-0002-0138-6166 ericanderson@usgs.gov","orcid":"https://orcid.org/0000-0002-0138-6166","contributorId":172766,"corporation":false,"usgs":true,"family":"Anderson","given":"Eric","email":"ericanderson@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":949068,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scarberry, Kaleb","contributorId":361605,"corporation":false,"usgs":false,"family":"Scarberry","given":"Kaleb","affiliations":[{"id":32397,"text":"Oregon Department of Geology and Mineral Industries","active":true,"usgs":false}],"preferred":false,"id":949069,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eastman, Kyle","contributorId":361606,"corporation":false,"usgs":false,"family":"Eastman","given":"Kyle","affiliations":[{"id":36941,"text":"Montana Bureau of Mines and Geology","active":true,"usgs":false}],"preferred":false,"id":949070,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Funk, Jonathan Andrew 0000-0001-7897-687X","orcid":"https://orcid.org/0000-0001-7897-687X","contributorId":297164,"corporation":false,"usgs":true,"family":"Funk","given":"Jonathan","email":"","middleInitial":"Andrew","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":949071,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Magnin, Benjamin Patrick 0000-0001-9951-4404","orcid":"https://orcid.org/0000-0001-9951-4404","contributorId":300679,"corporation":false,"usgs":true,"family":"Magnin","given":"Benjamin","email":"","middleInitial":"Patrick","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":949072,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Clevenger, Joseph","contributorId":361607,"corporation":false,"usgs":false,"family":"Clevenger","given":"Joseph","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":949073,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dilles, John","contributorId":361675,"corporation":false,"usgs":false,"family":"Dilles","given":"John","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":949133,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zimmerman, Jarred L. 0000-0003-3423-7711","orcid":"https://orcid.org/0000-0003-3423-7711","contributorId":359591,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Jarred","middleInitial":"L.","affiliations":[{"id":85873,"text":"Montana Buteau of Mines and Geology, Montana Technological University, Butte, Montana, USA","active":true,"usgs":false}],"preferred":false,"id":949134,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Attia, Snir 0000-0001-8582-8197","orcid":"https://orcid.org/0000-0001-8582-8197","contributorId":344165,"corporation":false,"usgs":true,"family":"Attia","given":"Snir","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":949135,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Cosca, Michael 0000-0002-0600-7663","orcid":"https://orcid.org/0000-0002-0600-7663","contributorId":33043,"corporation":false,"usgs":true,"family":"Cosca","given":"Michael","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":949136,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70271685,"text":"70271685 - 2025 - Tracing fluid evolution during batholith and deposit formation: In-situ and bulk rock Mo isotopes from the Questa porphyry Mo deposit, New Mexico, USA","interactions":[],"lastModifiedDate":"2025-09-19T15:31:40.735379","indexId":"70271685","displayToPublicDate":"2025-09-12T08:12:57","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Tracing fluid evolution during batholith and deposit formation: In-situ and bulk rock Mo isotopes from the Questa porphyry Mo deposit, New Mexico, USA","docAbstract":"The Oligocene Questa porphyry Mo deposit, located in New Mexico, USA, is a well-characterized system that formed over 400 kyr, punctuating the 8 Myr formation of the Questa-Latir batholith. Detailed sampling of the intrusions and minerals associated with magmatichydrothermal mineralization, as well as bookending barren intrusions, allows for examination of the Mo isotope record of the deposit and its host batholith. Through this established chronologic framework, such data can yield insights into the metallogenesis of deposit formation and long-term magma genesis evolution for upper crustal magmatism. The Mo isotopic compositions of barren intrusions yield a younging trend towards lighter δ98Mo. However, intrusions associated with Mo deposit formation yield heavier δ98Mo relative to barren magmatism, by up to 2.0‰. This indicates that they were affected by an isotopically heavy and Mo-rich fluid. The in-situ data from molybdenite covers the range observed in mineralized bulk rocks. However, individual samples consistently yield Mo isotopic variations of 0.4‰ to 0.5‰. The consistency of the δ98Mo variation in in-situ analyses of molybdenite within hand samples and individual mineral grains is likely the result of MoS2 crystallization in a closed system and reflects an almost complete precipitation of Mo.
","conferenceTitle":"18th SGA Biennial Meeting","conferenceDate":"August 3-7, 2025","conferenceLocation":"Golden, CO","language":"English","publisher":"Society for Geology Applied to Mineral Deposits","usgsCitation":"Gaynor, S.P., Greber, N.D., Ahmad, Q., Künzi, P., Horn, I., and Weyer, S., 2025, Tracing fluid evolution during batholith and deposit formation: In-situ and bulk rock Mo isotopes from the Questa porphyry Mo deposit, New Mexico, USA, 18th SGA Biennial Meeting, v. 2, Golden, CO, August 3-7, 2025, p. 447-450.","productDescription":"4 p.","startPage":"447","endPage":"450","ipdsId":"IP-175984","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":495777,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":495764,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.e-sga.org/publications/conference-proceedings","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New Mexico","otherGeospatial":"Questa porphyry Mo deposit","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.625,\n 36.875\n ],\n [\n -105.625,\n 36.5\n ],\n [\n -105.375,\n 36.5\n ],\n [\n -105.375,\n 36.875\n ],\n [\n -105.625,\n 36.875\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gaynor, Sean Patrick 0000-0002-8353-511X","orcid":"https://orcid.org/0000-0002-8353-511X","contributorId":346264,"corporation":false,"usgs":true,"family":"Gaynor","given":"Sean","email":"","middleInitial":"Patrick","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":949018,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Greber, Nicolas D.","contributorId":361581,"corporation":false,"usgs":false,"family":"Greber","given":"Nicolas","middleInitial":"D.","affiliations":[{"id":86311,"text":"Muséum d’historie naturelle de Genève","active":true,"usgs":false}],"preferred":false,"id":949019,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ahmad, Qasid","contributorId":361582,"corporation":false,"usgs":false,"family":"Ahmad","given":"Qasid","affiliations":[{"id":86312,"text":"Université de Lorraine - CNRS","active":true,"usgs":false}],"preferred":false,"id":949020,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Künzi, Pia","contributorId":361583,"corporation":false,"usgs":false,"family":"Künzi","given":"Pia","affiliations":[{"id":48404,"text":"Universität Bern","active":true,"usgs":false}],"preferred":false,"id":949021,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Horn, Ingo","contributorId":361584,"corporation":false,"usgs":false,"family":"Horn","given":"Ingo","affiliations":[{"id":86313,"text":"Leibniz University Hannover","active":true,"usgs":false}],"preferred":false,"id":949022,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Weyer, Stefan","contributorId":195629,"corporation":false,"usgs":false,"family":"Weyer","given":"Stefan","email":"","affiliations":[],"preferred":false,"id":949023,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70271911,"text":"70271911 - 2025 - Did they feel it? Legacy maroseismic data illuminates an engimatic 20th century earthquake","interactions":[],"lastModifiedDate":"2025-09-24T15:13:40.752725","indexId":"70271911","displayToPublicDate":"2025-09-12T08:05:29","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5026,"text":"Earth and Space Science","active":true,"publicationSubtype":{"id":10}},"title":"Did they feel it? Legacy maroseismic data illuminates an engimatic 20th century earthquake","docAbstract":"The challenges and the importance of preserving legacy instrumental records of earthquakes are now well-recognized (e.g., Richards & Hellweg, 2020, https://doi.org/10.1785/0220200053). Seismologists may not be aware of parallel challenges and opportunities with legacy macroseismic data for earthquakes in the United States. For much of the 20th century, macroseismic data were collected by a series of U.S. government agencies using a standard questionnaire distributed on postcards. Published summaries of postcards provide macroseismic data akin to modern Did You Feel It? questionnaire responses. In this paper we focus on the M 6.5 Fickle Hill, California earthquake, on 21 December 1954 (Hellweg et al., 2025) as a proof-of-concept, illustrating the potential of what we dub Did They Feel It? (DTFI) data to improve our understanding of significant 20th century U.S. earthquakes for which instrumental data are sparse. Legacy macroseismic data interpreted following modern conventions can potentially constrain traditional ShakeMaps at a level of detail and accuracy that in some respects rival maps for modern earthquakes. The updated ShakeMap for the 1954 Fickle Hill earthquake, also drawing from recently published media and first-person accounts, supports the location, depth, and stress drop value estimated from available instrumental data (Hellweg et al., 2025).
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025EA004437","usgsCitation":"Hough, S.E., Dengler, L., McPherson, R., Hagos, L., and Hellweg, M., 2025, Did they feel it? Legacy maroseismic data illuminates an engimatic 20th century earthquake: Earth and Space Science, v. 12, no. 9, e2025EA004437, 45 p., https://doi.org/10.1029/2025EA004437.","productDescription":"e2025EA004437, 45 p.","ipdsId":"IP-178554","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":496154,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025ea004437","text":"Publisher Index Page"},{"id":496011,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -124.36941833393237,\n 41.366992125273725\n ],\n [\n -124.36941833393237,\n 39.97380581515134\n ],\n [\n -123.19324471908419,\n 39.97380581515134\n ],\n [\n -123.19324471908419,\n 41.366992125273725\n ],\n [\n -124.36941833393237,\n 41.366992125273725\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"12","issue":"9","noUsgsAuthors":false,"publicationDate":"2025-09-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Hough, Susan E. 0000-0002-5980-2986","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":263442,"corporation":false,"usgs":true,"family":"Hough","given":"Susan","email":"","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":949341,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dengler, Lori","contributorId":197374,"corporation":false,"usgs":false,"family":"Dengler","given":"Lori","affiliations":[],"preferred":false,"id":949342,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McPherson, Robert","contributorId":336975,"corporation":false,"usgs":false,"family":"McPherson","given":"Robert","affiliations":[{"id":63943,"text":"Cal Poly Humboldt","active":true,"usgs":false}],"preferred":false,"id":949343,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hagos, Lijam","contributorId":300811,"corporation":false,"usgs":false,"family":"Hagos","given":"Lijam","affiliations":[{"id":12640,"text":"California Geological Survey","active":true,"usgs":false}],"preferred":false,"id":949344,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hellweg, Margaret","contributorId":360602,"corporation":false,"usgs":false,"family":"Hellweg","given":"Margaret","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":949345,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70272994,"text":"70272994 - 2025 - A comparison of deep-sea coral and sponge species distribution models and the impact of ocean currents in the Southern California Bight","interactions":[],"lastModifiedDate":"2025-12-12T17:56:42.368183","indexId":"70272994","displayToPublicDate":"2025-09-11T10:52:06","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5536,"text":"Deep Sea Research Part II: Topical Studies in Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"A comparison of deep-sea coral and sponge species distribution models and the impact of ocean currents in the Southern California Bight","docAbstract":"Deep-sea corals and sponges (DSCS) are signature taxa of deep-water habitats, but ecological mechanisms that drive their geographic distributions can be difficult to uncover due to the challenges of surveying deep-water ecosystems and limited oceanographic data. A comparison of species distribution models was made for three DSCS (Antipathes dendochristos, Plumarella longispina, and an unidentified sponge morphotype known as Porifera #2), two of which are associated with young-of-the-year and adult rockfish taxa (Sebastes spp.). Models were built using generalized additive models (GAMs) that accounted for spatial autocorrelation. These models were compared to Maxent models, a commonly used method. All models utilized bathymetrically derived variables (including depth, slope, and Bathymetric Position Index) and output from a coupled physical-biogeochemical ocean model (including current direction and magnitude, food abundance, and dissolved oxygen). Direction of benthic ocean currents played an important role in predictions, pointing to large-scale ecological processes that may determine presence of DSCS. GAMs outperformed Maxent models and predicted more ecologically interpretable patterns. Additionally we quantified the predicted amount of suitable habitat that is currently located within some protected areas of the Southern California Bight and show that many hot spots occur outside protected areas. Given the importance of DSCS for multiple demersal fish species of commercial or conservation concerns, this research provides valuable information that natural resource managers can use as a tool in the Southern California Bight.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.dsr2.2025.105546","usgsCitation":"Kreidler, N., Buchheister, A., Huff, D.D., Fiechter, J., Yoklavich, M., and Henderson, M., 2025, A comparison of deep-sea coral and sponge species distribution models and the impact of ocean currents in the Southern California Bight: Deep Sea Research Part II: Topical Studies in Oceanography, v. 224, 105546, 20 p., https://doi.org/10.1016/j.dsr2.2025.105546.","productDescription":"105546, 20 p.","ipdsId":"IP-160765","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":497493,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Southern California Bight","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.77195451682024,\n 34.63450539301438\n ],\n [\n -120.71062295847764,\n 34.067353050853896\n ],\n [\n -116.95296762825086,\n 32.64962732243558\n ],\n [\n -117.36447279653606,\n 33.96407055399892\n ],\n [\n -120.77195451682024,\n 34.63450539301438\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"224","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kreidler, Nissa","contributorId":278592,"corporation":false,"usgs":false,"family":"Kreidler","given":"Nissa","email":"","affiliations":[{"id":7067,"text":"Humboldt State University","active":true,"usgs":false}],"preferred":false,"id":952055,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buchheister, Andre","contributorId":363827,"corporation":false,"usgs":false,"family":"Buchheister","given":"Andre","affiliations":[{"id":86743,"text":"California Polytechnic State University Humboldt","active":true,"usgs":false}],"preferred":false,"id":952056,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huff, David D.","contributorId":363828,"corporation":false,"usgs":false,"family":"Huff","given":"David","middleInitial":"D.","affiliations":[{"id":27155,"text":"University of California Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":952057,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fiechter, Jerome","contributorId":272532,"corporation":false,"usgs":false,"family":"Fiechter","given":"Jerome","affiliations":[{"id":17620,"text":"UCSC","active":true,"usgs":false}],"preferred":false,"id":952058,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yoklavich, Mary","contributorId":363829,"corporation":false,"usgs":false,"family":"Yoklavich","given":"Mary","affiliations":[{"id":38436,"text":"National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":952059,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Henderson, Mark J. 0000-0002-2861-8668 mhenderson@usgs.gov","orcid":"https://orcid.org/0000-0002-2861-8668","contributorId":198609,"corporation":false,"usgs":true,"family":"Henderson","given":"Mark J.","email":"mhenderson@usgs.gov","affiliations":[],"preferred":false,"id":952060,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70271413,"text":"70271413 - 2025 - Sounds of Atlantic sturgeon spawning: First description and opportunities for riverine endangered species conservation with passive acoustic monitoring","interactions":[],"lastModifiedDate":"2025-09-12T15:57:51.924789","indexId":"70271413","displayToPublicDate":"2025-09-11T10:52:03","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1497,"text":"Endangered Species Research","active":true,"publicationSubtype":{"id":10}},"title":"Sounds of Atlantic sturgeon spawning: First description and opportunities for riverine endangered species conservation with passive acoustic monitoring","docAbstract":"Effective recovery plans for endangered species rely on insights into species’ ecology to identify risks and develop population recovery strategies. Data gaps pose challenges for many species of conservation concern, particularly those with cryptic behaviors or that occupy difficult-to-access habitats. Sounds produced by these species offer an effective means of observing many such marine and aquatic species, and for this reason, passive acoustic monitoring has emerged as an important study and assessment approach in marine systems. This approach is only just beginning to be applied for aquatic species monitoring in freshwater habitats. Atlantic sturgeon Acipenser oxyrinchus, a species of conservation concern along the US East Coast, remains poorly understood due to persistent data gaps despite years of conservation efforts. While sounds have been described for other sturgeons, sounds from Atlantic sturgeon have not yet been reported. Here, we characterized acoustic cues associated with Atlantic sturgeon in the Hudson River, New York, USA, and identified a low-frequency (44 Hz peak frequency) signal strongly correlated with the occurrence of telemetry-tagged adults which enter the river to spawn. We corroborated these efforts with recordings of captive Atlantic sturgeon, in which we detected the same sound type during a spawning period. Our findings provide an opportunity to develop passive acoustic monitoring strategies for Atlantic sturgeon, offering a non-invasive tool for understanding the spatiotemporal distribution of spawning activity across their range. We demonstrate potential applications of passive acoustic monitoring to inform sturgeon conservation and management, including characterizing habitat use, identifying cross-species interactions, and providing abundance indices.
","language":"English","publisher":"Inter-Research Science Publisher","doi":"10.3354/esr01429","usgsCitation":"Cohen, R., Baker, P.J., Bowser, C., Breece, M.W., Flecker, A., Fox, D., Henne, J., Higgs, A., Niemistö, M., Pendleton, R., Sethi, S.A., White, S.L., and Rice, A., 2025, Sounds of Atlantic sturgeon spawning: First description and opportunities for riverine endangered species conservation with passive acoustic monitoring: Endangered Species Research, v. 58, esr01429, 14 p., https://doi.org/10.3354/esr01429.","productDescription":"esr01429, 14 p.","ipdsId":"IP-172988","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":495727,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/esr01429","text":"Publisher Index Page"},{"id":495451,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Hudson River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -73.98924679821867,\n 41.91282824598875\n ],\n [\n -73.98924679821867,\n 41.74100048915943\n ],\n [\n -73.8886148088487,\n 41.74100048915943\n ],\n [\n -73.8886148088487,\n 41.91282824598875\n ],\n [\n -73.98924679821867,\n 41.91282824598875\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"58","noUsgsAuthors":false,"publicationDate":"2025-09-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Cohen, Rebecca","contributorId":361342,"corporation":false,"usgs":false,"family":"Cohen","given":"Rebecca","affiliations":[{"id":36682,"text":"Cornell Lab of Ornithology","active":true,"usgs":false}],"preferred":false,"id":948641,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baker, Patrick J.","contributorId":289215,"corporation":false,"usgs":false,"family":"Baker","given":"Patrick","email":"","middleInitial":"J.","affiliations":[{"id":13336,"text":"University of Melbourne","active":true,"usgs":false}],"preferred":false,"id":948642,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bowser, Christopher","contributorId":361343,"corporation":false,"usgs":false,"family":"Bowser","given":"Christopher","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":948643,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Breece, Matthew W.","contributorId":116999,"corporation":false,"usgs":false,"family":"Breece","given":"Matthew","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":948644,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Flecker, Alexander","contributorId":348061,"corporation":false,"usgs":false,"family":"Flecker","given":"Alexander","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":948645,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fox, Dewayne","contributorId":340954,"corporation":false,"usgs":false,"family":"Fox","given":"Dewayne","affiliations":[{"id":37219,"text":"Delaware State University","active":true,"usgs":false}],"preferred":false,"id":948646,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Henne, James","contributorId":361346,"corporation":false,"usgs":false,"family":"Henne","given":"James","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":948647,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Higgs, Amanda","contributorId":225402,"corporation":false,"usgs":false,"family":"Higgs","given":"Amanda","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":948648,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Niemistö, Maija","contributorId":361347,"corporation":false,"usgs":false,"family":"Niemistö","given":"Maija","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":948649,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Pendleton, Richard","contributorId":348720,"corporation":false,"usgs":false,"family":"Pendleton","given":"Richard","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":948650,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sethi, Suresh A","contributorId":171843,"corporation":false,"usgs":false,"family":"Sethi","given":"Suresh","email":"","middleInitial":"A","affiliations":[{"id":26952,"text":"U.S. Fish and Wildlife Service, Anchorage, AK; Fisheries, Aquatic Science and Technology Lab, Alaska Pacific University, Anchorage, AK and U.S. Geological Survey New York Cooperative Fish and Wildlife Research Unit, Cornell University, Ithaca, NY","active":true,"usgs":false}],"preferred":false,"id":948651,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"White, Shannon L. 0000-0003-4687-6596","orcid":"https://orcid.org/0000-0003-4687-6596","contributorId":263424,"corporation":false,"usgs":true,"family":"White","given":"Shannon","email":"","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":948652,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Rice, Aaron","contributorId":275864,"corporation":false,"usgs":false,"family":"Rice","given":"Aaron","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":948653,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70271351,"text":"dr1216 - 2025 - Distribution, abundance, and habitat characteristics of Coastal Cactus Wrens (Campylorhynchus brunneicapillus) in San Diego County, California—2024 data summary","interactions":[],"lastModifiedDate":"2026-02-03T15:24:03.674446","indexId":"dr1216","displayToPublicDate":"2025-09-11T10:03:01","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":9318,"text":"Data Report","code":"DR","onlineIssn":"2771-9448","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1216","displayTitle":"Distribution, Abundance, and Habitat Characteristics of Coastal Cactus Wrens (Campylorhynchus brunneicapillus) in San Diego County, California—2024 Data Summary","title":"Distribution, abundance, and habitat characteristics of Coastal Cactus Wrens (Campylorhynchus brunneicapillus) in San Diego County, California—2024 data summary","docAbstract":"We surveyed for coastal Cactus Wren (Campylorhynchus brunneicapillus) in 507 established plots in San Diego County in 2024, encompassing four genetic clusters (Otay, Lake Jennings, Sweetwater/Encanto, and San Pasqual). Of the 507 plots, 376 have been surveyed every year starting in 2020. Two surveys were completed at each plot between March 1 and July 31, 2024. Cactus Wrens were detected in 216 plots (43 percent of plots). Cactus Wrens were detected in 34 percent of the plots that have been consistently surveyed since 2020, indicating a higher plot occupancy rate than in 2023 (26 percent) and a similar plot occupancy rate to 2022 (31 percent), 2021 (34 percent), and 2020 (35 percent). There were 175 Cactus Wren territories detected across all survey plots in 2024. We documented 111 territories in the plots that have been consistently surveyed since 2020, which is an increase from 85 territories in 2023 and from 94 territories in 2022, and similar to the number of territories documented in 2021 (113) and 2020 (109). The number of territories declined from 2023 to 2024 in the San Pasqual genetic cluster but increased in the Otay, Lake Jennings, and Sweetwater/Encanto genetic clusters. At least 86 percent of Cactus Wren territories were occupied by pairs, and 176 fledglings were observed in 2024.
We observed six banded Cactus Wrens in 2024, all of which we could identify individually by color band combination. Adults of known age ranged from 5 to 8 years old. All individually identifiable adult Cactus Wrens occupied the same territory in 2024 that they occupied during 2022 or 2023. We detected no movement of banded Cactus Wrens between genetic clusters during 2024.
Vegetation at Cactus Wren survey plots was dominated by coastal sage scrub shrubs, such as California sagebrush (Artemisia californica), California buckwheat (Eriogonum fasciculatum), lemonade berry (Rhus integrifolia), San Diego County sunflower (Bahiopsis laciniata), and laurel sumac (Malosma laurina). Cactus Wrens preferentially occupied plots dominated by California buckwheat in the Otay genetic cluster and avoided plots dominated by lemonade berry (results of this test were marginally significant). Cactus Wrens also appeared to prefer plots dominated by broom baccharis (Baccharis sarothroides) in the Sweetwater/Encanto cluster and plots dominated by California buckwheat in the San Pasqual genetic cluster, although these preferences were marginally statistically significant. No definitive signs of fungal pathogens were observed on cactus within and around survey plots. Blue elderberry (Sambucus mexicana) was detected at 43 percent of plots, and Cactus Wrens preferentially occupied more plots with elderberry than were available. Very little dead or unhealthy cactus was observed within all survey plots, and Cactus Wrens preferentially occupied plots with lower amounts of dead and unhealthy cactus than were available. Over 80 percent of plots had more than 5 percent of cactus crowded or overtopped by vines and shrubs, and Cactus Wren occupied plots in proportion to the degree of shrub and vine crowding or overtopping. Non-native annual cover was less prevalent in survey plots in 2024 than in 2023, and Cactus Wrens preferentially occupied plots with less non-native cover.
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Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819
In today’s rapidly changing economic landscape, understanding market responsiveness to price changes and the factors influencing commodity prices has become increasingly relevant. Price elasticities serve as indicators of how variations in market conditions affect supply and demand, providing insights into the sensitivity of commodity markets to price fluctuations. This paper presents a comprehensive analysis of price elasticities of supply and demand for 74 non-fuel mineral commodities including precious metals, base metals, minor metals, and industrial minerals that are utilized across various industries. We employ various econometric techniques, including fixed effects models for panel data and two-stage dynamic ordinary least squares (2S-DOLS) alongside autoregressive distributed lag (ARDL) models for time series analysis, to derive robust estimates of price elasticities. Our findings reveal variability in elasticities among different commodities and indicate that all studied mineral commodities exhibit price inelastic supply and demand in the short run, which we define as one year for the purposes of our analysis, given that the data is all annual. This research provides original estimates of price responsiveness for a wide range of commodities that have not been previously addressed in the literature, thereby enhancing the understanding of market dynamics in the mineral sector. Given that price elasticities can be influenced by factors such as market structure, technological advancements, mining costs, and industry-specific demand drivers, we use variables that serve as proxies for these factors.
","language":"English","publisher":"Springer","doi":"10.1007/s13563-025-00537-3","usgsCitation":"Shojaeddini, E., Alonso, E., Nassar, N.T., Pineault, D., Allen, S.M., Brainard, J.L., McCaffrey, D.M., O'Brien, T.M., Padilla, A.J., and Ryter, J.W., 2025, Understanding market sensitivity: Estimation of supply and demand elasticities for non-fuel minerals: Mineral Economics, v. 38, p. 985-996, https://doi.org/10.1007/s13563-025-00537-3.","productDescription":"12 p.","startPage":"985","endPage":"996","ipdsId":"IP-180072","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":495732,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s13563-025-00537-3","text":"Publisher Index Page"},{"id":495491,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","noUsgsAuthors":false,"publicationDate":"2025-09-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Shojaeddini, Ensieh 0000-0001-9584-6399","orcid":"https://orcid.org/0000-0001-9584-6399","contributorId":346849,"corporation":false,"usgs":true,"family":"Shojaeddini","given":"Ensieh","email":"","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":948743,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alonso, Elisa 0000-0002-0090-8284","orcid":"https://orcid.org/0000-0002-0090-8284","contributorId":223015,"corporation":false,"usgs":true,"family":"Alonso","given":"Elisa","email":"","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":948744,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nassar, Nedal T. 0000-0001-8758-9732 nnassar@usgs.gov","orcid":"https://orcid.org/0000-0001-8758-9732","contributorId":197864,"corporation":false,"usgs":true,"family":"Nassar","given":"Nedal","email":"nnassar@usgs.gov","middleInitial":"T.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":948745,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pineault, David 0009-0001-6801-4711","orcid":"https://orcid.org/0009-0001-6801-4711","contributorId":352217,"corporation":false,"usgs":true,"family":"Pineault","given":"David","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":948746,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allen, Sydney M. 0000-0001-6560-3548","orcid":"https://orcid.org/0000-0001-6560-3548","contributorId":359608,"corporation":false,"usgs":true,"family":"Allen","given":"Sydney","middleInitial":"M.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":948747,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brainard, Jamie L. 0000-0002-1712-0821","orcid":"https://orcid.org/0000-0002-1712-0821","contributorId":201465,"corporation":false,"usgs":true,"family":"Brainard","given":"Jamie","middleInitial":"L.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":948748,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McCaffrey, Dalton M. 0000-0002-2539-4865","orcid":"https://orcid.org/0000-0002-2539-4865","contributorId":298840,"corporation":false,"usgs":true,"family":"McCaffrey","given":"Dalton","middleInitial":"M.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":948749,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"O'Brien, Timothy M. 0009-0007-7178-100X","orcid":"https://orcid.org/0009-0007-7178-100X","contributorId":361401,"corporation":false,"usgs":true,"family":"O'Brien","given":"Timothy","middleInitial":"M.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":948750,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Padilla, Abraham J. 0000-0002-8371-533X","orcid":"https://orcid.org/0000-0002-8371-533X","contributorId":290608,"corporation":false,"usgs":true,"family":"Padilla","given":"Abraham","email":"","middleInitial":"J.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":948751,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ryter, John W. 0000-0002-0343-7553","orcid":"https://orcid.org/0000-0002-0343-7553","contributorId":345416,"corporation":false,"usgs":true,"family":"Ryter","given":"John","middleInitial":"W.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":948752,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70273022,"text":"70273022 - 2025 - Predicting aquatic habitat connectivity across watershed boundaries: Implications for interbasin spread of nonindigenous aquatic species.","interactions":[],"lastModifiedDate":"2025-12-12T15:14:04.925076","indexId":"70273022","displayToPublicDate":"2025-09-11T08:08:46","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5738,"text":"Frontiers in Environmental Science","active":true,"publicationSubtype":{"id":10}},"title":"Predicting aquatic habitat connectivity across watershed boundaries: Implications for interbasin spread of nonindigenous aquatic species.","docAbstract":"Understanding habitat connectivity is critical for managing nonindigenous aquatic species (NAS) spread. Dams and watershed boundaries can be impassable to NAS during typical conditions but may become temporarily passable during flooding. The goal of our project was to develop an approach for identifying locations of aquatic connectivity at a fine spatial scale along watershed boundaries using readily available data. To develop this approach, we focused on the potential for range expansion of invasive fish in the United States via possible cross-boundary habitat connections. First, we developed an index using metrics of elevation, watershed size, and geology at regular points along a watershed boundary to stratify points by likelihood of connectivity during high precipitation (>20 mm of precipitation in a 3-day period). We then used a subset of points across a gradient of connectivity likelihoods to gather Landsat-derived observed surface water data and developed a statistical model to predict surface water presence from landscape characteristics. We applied the model throughout the entire watershed boundary to identify locations of hydrologic connectivity during high-water events. The presence of surface water on watershed boundaries was predicted by the interactions between watershed boundary point elevation relative to the minimum adjacent HUC-12 elevations and watershed boundary point elevation relative to neighboring point elevations (marginal R2 = 0.94). Our approach can be used to identify potential areas of surface water connectivity between watersheds quickly and easily at a fine spatial scale using readily available, remotely sensed data that can inform conservation and management actions across disciplines.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/fenvs.2025.1646017","usgsCitation":"Pfaff, P.J., Coulter, A.A., Schall, B.J., Davis, T., Chipps, S.R., and Coulter, D.P., 2025, Predicting aquatic habitat connectivity across watershed boundaries: Implications for interbasin spread of nonindigenous aquatic species.: Frontiers in Environmental Science, v. 113, 1646017, 8 p., https://doi.org/10.3389/fenvs.2025.1646017.","productDescription":"1646017, 8 p.","ipdsId":"IP-168696","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":497698,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fenvs.2025.1646017","text":"Publisher Index Page"},{"id":497465,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota, South Dakota","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -98.5860882678942,\n 47.0340515938843\n ],\n [\n -98.5860882678942,\n 42.75965927049364\n ],\n [\n -96.3287308953151,\n 42.75965927049364\n ],\n [\n -97.02339781306394,\n 45.96566324768915\n ],\n [\n -97.13756830247006,\n 47.16863340208883\n ],\n [\n -98.5860882678942,\n 47.0340515938843\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"113","noUsgsAuthors":false,"publicationDate":"2025-09-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Pfaff, Peter J.","contributorId":363920,"corporation":false,"usgs":false,"family":"Pfaff","given":"Peter","middleInitial":"J.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":952106,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coulter, Alison A.","contributorId":363922,"corporation":false,"usgs":false,"family":"Coulter","given":"Alison","middleInitial":"A.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":952107,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schall, Benjamin J.","contributorId":363925,"corporation":false,"usgs":false,"family":"Schall","given":"Benjamin","middleInitial":"J.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":952108,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Tanner","contributorId":348518,"corporation":false,"usgs":false,"family":"Davis","given":"Tanner","affiliations":[{"id":83369,"text":"South Dakota Game, Fish, and Parks","active":true,"usgs":false}],"preferred":false,"id":952109,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":952110,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Coulter, David P.","contributorId":363929,"corporation":false,"usgs":false,"family":"Coulter","given":"David","middleInitial":"P.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":952111,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}