{"pageNumber":"3","pageRowStart":"50","pageSize":"25","recordCount":4111,"records":[{"id":70272577,"text":"70272577 - 2025 - Performance analysis of oil recovery and CO2 retention in a greenfield residual oil zone: CO2-EOR in Tall Cotton Field (Permian Basin, West Texas, USA)","interactions":[],"lastModifiedDate":"2025-11-24T16:11:13.736607","indexId":"70272577","displayToPublicDate":"2025-11-15T09:01:56","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":22979,"text":"Carbon Capture Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Performance analysis of oil recovery and CO2 retention in a greenfield residual oil zone: CO2-EOR in Tall Cotton Field (Permian Basin, West Texas, USA)","docAbstract":"<p><span>Residual oil zones (ROZs) can offer significant oil resources via enhanced oil recovery (EOR) as well as subsurface carbon dioxide (CO</span><sub>2</sub><span>) retention during injection. If injected CO</span><sub>2</sub><span>&nbsp;is anthropogenic, the ROZs can offer a substantial geologic storage potential. The ROZs below the oil/water contact (OWC) of main pay zones (MPZ) in conventional reservoirs or brownfields, are more commonly developed for CO</span><sub>2</sub><span>&nbsp;injection and oil production and reported in the literature. However, CO</span><sub>2</sub><span>-EOR in greenfield ROZs, reservoirs without a MPZ present, have rarely been developed for CO</span><sub>2</sub><span>-EOR operation. The Tall Cotton Field of West Texas, Permian Basin, which started production in 2015 (Phase 1) and expanded in 2017 (Phase 2) from the San Andres Limestone, is one of the first examples of greenfield ROZs developed for EOR by injecting CO</span><sub>2</sub><span>.</span></p><p><span>This paper analyses EOR and CO</span><sub>2</sub><span>&nbsp;retention performance of Tall Cotton Field using allocated injection and production data from inverted 5-spot well patterns of Phase-1 and -2 developments. Production and injection data allocated to each of the 28 identified patterns (nine 20-acre patterns for Phase-1, three 20-acre and sixteen 10-acre patterns for Phase-2) were analyzed for historical and forecasted oil recovery using ratio-trend decline analysis, and for CO</span><sub>2</sub><span>&nbsp;retention performance of the patterns. The allocated data were further used to calculate injected reservoir pore volume and void replacement ratios (VRR) for the analysis period. Quantitative results indicated that oil recovery factors of the 5-spot patterns varied between 4–10 %, and 5–30 % between the end of injection and the forecast periods, respectively. Storage of CO</span><sub>2</sub><span>, on the other hand, increased to a mean value of ∼7130 MMscf per pattern in Phase-1 and to a mean storage of 3700 MMscf per pattern in Phase-2 until the end of injection, followed by a decline after the end of injection and into the forecast period. Resulting CO</span><sub>2</sub><span>&nbsp;utilization factors ∼6–50 Mscf/bbl were estimated at the end of injection. Overall, presented results suggested that developing greenfield ROZs for CO</span><sub>2</sub><span>-EOR can be as promising as brownfield ROZs and mature MPZs for EOR and underground storage of injected CO</span><sub>2</sub><span>. For Tall Cotton Field, results suggest that Phase-2 patterns generally outperformed Phase-1 for oil recovery factors, while Phase-1 performed better in CO</span><sub>2</sub><span>&nbsp;retention performance metrics. This is the first study in the literature that reports a detailed CO</span><sub>2</sub><span>-EOR performance analysis of a greenfield ROZ in the Permian Basin, which can potentially allow for comparison with MPZs and brownfield ROZs.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ccst.2025.100544","usgsCitation":"Karacan, C.O., 2025, Performance analysis of oil recovery and CO2 retention in a greenfield residual oil zone: CO2-EOR in Tall Cotton Field (Permian Basin, West Texas, USA): Carbon Capture Science and Technology, v. 17, 100544, 14 p., https://doi.org/10.1016/j.ccst.2025.100544.","productDescription":"100544, 14 p.","ipdsId":"IP-179246","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":496930,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ccst.2025.100544","text":"Publisher Index Page"},{"id":496830,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","county":"Gaines County","otherGeospatial":"Tall Cotton Field","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -103.04678856680947,\n              33.3881629621319\n            ],\n            [\n              -103.04678856680947,\n              31.601101499990648\n            ],\n            [\n              -101.42024271710294,\n              31.601101499990648\n            ],\n            [\n              -101.42024271710294,\n              33.3881629621319\n            ],\n            [\n              -103.04678856680947,\n              33.3881629621319\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"17","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Karacan, C. Ozgen 0000-0002-0947-8241","orcid":"https://orcid.org/0000-0002-0947-8241","contributorId":201991,"corporation":false,"usgs":true,"family":"Karacan","given":"C.","email":"","middleInitial":"Ozgen","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":950843,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70272087,"text":"70272087 - 2025 - Sensitive environmental DNA methods for low-risk surveillance of at-risk bumble bees","interactions":[{"subject":{"id":70274281,"text":"70274281 - 2025 - Sensitive environmental DNA methods for low-risk surveillance of at-risk bumble bees","indexId":"70274281","publicationYear":"2025","noYear":false,"title":"Sensitive environmental DNA methods for low-risk surveillance of at-risk bumble bees"},"predicate":"SUPERSEDED_BY","object":{"id":70272087,"text":"70272087 - 2025 - Sensitive environmental DNA methods for low-risk surveillance of at-risk bumble bees","indexId":"70272087","publicationYear":"2025","noYear":false,"title":"Sensitive environmental DNA methods for low-risk surveillance of at-risk bumble bees"},"id":1}],"lastModifiedDate":"2025-12-01T16:49:46.874038","indexId":"70272087","displayToPublicDate":"2025-11-13T07:54:21","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2776,"text":"Molecular Ecology Resources","active":true,"publicationSubtype":{"id":10}},"title":"Sensitive environmental DNA methods for low-risk surveillance of at-risk bumble bees","docAbstract":"<p><span>Terrestrial environmental DNA (eDNA) techniques have been proposed as a means of sensitive, non-lethal pollinator monitoring. To date, however, no studies have provided evidence that eDNA methods can achieve detection sensitivity on par with traditional pollinator surveys. Using a large-scale dataset of eDNA and corresponding net surveys, we show that eDNA methods enable sensitive, species-level characterisation of whole bumble bee communities, including rare and critically endangered species such as the rusty patched bumble bee (RPBB;&nbsp;</span><i>Bombus affinis</i><span>). All species present in netting surveys were detected within eDNA surveys, apart from two rare species in the socially parasitic subgenus&nbsp;</span><i>Psithyrus</i><span>&nbsp;(cuckoo bumble bees). Further, for rare non-parasitic species, eDNA methods exhibited similar sensitivity relative to traditional netting. Compared with flower eDNA samples, sequenced leaf surface eDNA samples resulted in significantly lower rates of&nbsp;</span><i>Bombus</i><span>&nbsp;detection, and these detections were likely attributable to high rates of background eDNA on environmental surfaces, perhaps due to airborne eDNA or eDNA movement during rainfall events. Lastly, we found that eDNA-based frequency of detection across replicate surveys was strongly associated with net-based measures of abundance across site visits. We conclude that the COI-based metabarcoding method we present is cost-effective and highly scalable for quantitative characterisation of at-risk bumble bee communities, providing a new approach for improving our understanding of species habitat associations.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/1755-0998.70073","usgsCitation":"Richardson, R.T., Avalos, G., Garland, C.J., Trott, R., Hager, O., Hepner, M.J., Raines, C.D., and Goodell, K., 2025, Sensitive environmental DNA methods for low-risk surveillance of at-risk bumble bees: Molecular Ecology Resources, v. 26, no. 1, e70073, 10 p., https://doi.org/10.1111/1755-0998.70073.","productDescription":"e70073, 10 p.","ipdsId":"IP-177744","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":496707,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1755-0998.70073","text":"Publisher Index Page"},{"id":496476,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Central Appalachian Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -76.8129124415969,\n              42.016862263060546\n            ],\n            [\n              -82.1750155405594,\n              36.54899586680892\n            ],\n            [\n              -80.0203510955439,\n              36.258277099718455\n            ],\n            [\n              -75.31731755526653,\n              41.757585494571146\n            ],\n            [\n              -76.8129124415969,\n              42.016862263060546\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"26","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-11-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Richardson, Rodney T.","contributorId":332908,"corporation":false,"usgs":false,"family":"Richardson","given":"Rodney","middleInitial":"T.","affiliations":[{"id":38802,"text":"University of Maryland Center for Environmental Studies","active":true,"usgs":false}],"preferred":false,"id":950022,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Avalos, Grace","contributorId":332902,"corporation":false,"usgs":false,"family":"Avalos","given":"Grace","email":"","affiliations":[{"id":37215,"text":"University of Maryland Center for Environmental Science","active":true,"usgs":false}],"preferred":false,"id":950023,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Garland, Cameron J.","contributorId":360431,"corporation":false,"usgs":false,"family":"Garland","given":"Cameron","middleInitial":"J.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":950024,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Trott, Regina","contributorId":332903,"corporation":false,"usgs":false,"family":"Trott","given":"Regina","email":"","affiliations":[{"id":37215,"text":"University of Maryland Center for Environmental Science","active":true,"usgs":false}],"preferred":false,"id":950025,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hager, Olivia","contributorId":360433,"corporation":false,"usgs":false,"family":"Hager","given":"Olivia","affiliations":[{"id":86002,"text":"University of Maryland Center for Environmental Science; MD Western EcoSystems Technology, Inc","active":true,"usgs":false}],"preferred":false,"id":950026,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hepner, Mark J.","contributorId":335438,"corporation":false,"usgs":false,"family":"Hepner","given":"Mark","middleInitial":"J.","affiliations":[{"id":80404,"text":"Metamophecology","active":true,"usgs":false}],"preferred":false,"id":950027,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Raines, Clayton D. 0000-0002-0403-190X","orcid":"https://orcid.org/0000-0002-0403-190X","contributorId":296362,"corporation":false,"usgs":true,"family":"Raines","given":"Clayton","middleInitial":"D.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":950028,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Goodell, Karen","contributorId":332906,"corporation":false,"usgs":false,"family":"Goodell","given":"Karen","email":"","affiliations":[{"id":18155,"text":"The Ohio State University","active":true,"usgs":false}],"preferred":false,"id":950029,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70273911,"text":"70273911 - 2025 - Analysis of trends in terrestrial vegetation at Mediterranean Coast Network Parks: Channel Islands National Park","interactions":[],"lastModifiedDate":"2026-02-17T17:24:13.996226","indexId":"70273911","displayToPublicDate":"2025-11-01T11:15:09","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":18517,"text":"Science Report","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/SR-2025/358","displayTitle":"Analysis of Trends in Terrestrial Vegetation at Mediterranean Coast Network Parks: Channel Islands National Park","title":"Analysis of trends in terrestrial vegetation at Mediterranean Coast Network Parks: Channel Islands National Park","docAbstract":"<p>The five islands comprising Channel Islands National Park (CHIS) experience natural gradients in temperature and moisture driven by ocean currents. Additionally, the islands were used as ranchlands and military land before becoming a national park, resulting in widespread erosion and vegetation change. As a result, CHIS spans gradients in climate as well as ranching duration and time since animal removal. Vegetation monitoring was initiated in 1984 on three islands (Anacapa, Santa Barbara, San Miguel), in 1990 on Santa Rosa Island, and in 1998 on Santa Cruz Island, with the goal of documenting the long-term response of island vegetation to ranch animal removal and climate fluctuations. Since that time, monitoring has documented the range of natural fluctuation in island environments over decades and provided insights into vegetation change in ecosystems unencumbered by ongoing development. Long-term vegetation monitoring at CHIS is therefore a rare example of an ecosystem experiment that demonstrates the results of management actions and serves as a baseline for land managers and scientists worldwide.&nbsp;</p><p>Terrestrial vegetation data collected between 1984 and 2018 were modeled to estimate trends over time and to characterize relationships with covariates related to site characteristics, nonnative mammal removal programs, and water balance metrics. Data were analyzed for trends in vegetation cover, woody plant density, and plant community diversity grouped by life form and nativity across all islands and within individual islands, as well as for several individual species that dominate plant communities or present challenges to native plant recovery. In all, a total of 162 trend and covariate models were tested in this study, the details of which are provided in this report. Briefly, results reflect a decline in nonnative annual disturbance-thriving species with the reduction in animal grazing and trampling. Increasing trends were observed in native shrub density and native shrub recruitment density, as well as native shrub cover across all islands averaged together and on Santa Cruz Island. However, opposite trends were seen on the smaller islands of Santa Barbara and Anacapa, where increasing seabird activity may be damaging vegetation. Further results indicate the importance of soil moisture, relative humidity, fog, precipitation, site exposure, and solar radiation for vegetation patterns and trends. In many instances, there are apparent interacting effects of environmental variables with trends related to nonnative mammal removal and site location. Vegetation patterns in space and time emerge in the dataset as nuanced responses to interacting drivers.&nbsp;</p>","language":"English","publisher":"National Park Service","doi":"10.36967/2315831","usgsCitation":"Starcevich, L.A., Murray, C., Lee, L.F., Williams, C.B., and McEachern, K., 2025, Analysis of trends in terrestrial vegetation at Mediterranean Coast Network Parks: Channel Islands National Park: Science Report NPS/SR-2025/358, xvi, 176 p., https://doi.org/10.36967/2315831.","productDescription":"xvi, 176 p.","ipdsId":"IP-144822","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":500096,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Calfornia","otherGeospatial":"Channel Islands National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.7325747,\n              34.3878669\n            ],\n            [\n              -120.6273817,\n              33.7780062\n            ],\n            [\n              -119.4370392,\n              32.9735463\n            ],\n            [\n              -118.1857956,\n              32.6851079\n            ],\n            [\n              -118.2300874,\n              33.4875961\n            ],\n            [\n              -119.4591851,\n              34.2049123\n            ],\n            [\n              -120.2398283,\n              34.3513079\n            ],\n            [\n              -120.7325747,\n              34.3878669\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Starcevich, Leigh Ann","contributorId":366371,"corporation":false,"usgs":false,"family":"Starcevich","given":"Leigh","middleInitial":"Ann","affiliations":[{"id":38051,"text":"Western EcoSystems Technology, Inc.","active":true,"usgs":false}],"preferred":false,"id":955748,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murray, Christopher","contributorId":340084,"corporation":false,"usgs":false,"family":"Murray","given":"Christopher","affiliations":[{"id":81451,"text":"School of Marine and Environmental Affairs and Washington Ocean Acidification Center, 7 University of Washington, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":955749,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lee, Lena F.S.","contributorId":366372,"corporation":false,"usgs":false,"family":"Lee","given":"Lena","middleInitial":"F.S.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":955750,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, Cameron B.","contributorId":366373,"corporation":false,"usgs":false,"family":"Williams","given":"Cameron","middleInitial":"B.","affiliations":[{"id":6993,"text":"Channel Islands National Park","active":true,"usgs":false}],"preferred":false,"id":955751,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McEachern, Kathryn 0000-0003-2631-8247 kathryn_mceachern@usgs.gov","orcid":"https://orcid.org/0000-0003-2631-8247","contributorId":146324,"corporation":false,"usgs":true,"family":"McEachern","given":"Kathryn","email":"kathryn_mceachern@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":955752,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70272064,"text":"70272064 - 2025 - Zircon as a pathfinder to REE mineralization","interactions":[],"lastModifiedDate":"2025-11-14T16:51:17.144767","indexId":"70272064","displayToPublicDate":"2025-10-23T09:48:38","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":20082,"text":"Geochemical Perspectives Letters","active":true,"publicationSubtype":{"id":10}},"title":"Zircon as a pathfinder to REE mineralization","docAbstract":"<p><span>Carbonatites and alkaline silicate rocks are major primary sources of the rare earth elements (REE) and other critical metals, such as Nb. Despite the economic significance of these rocks, their formation and the processes of REE enrichment are poorly understood. Here, statistical analysis of a global dataset demonstrates that zircon geochemistry is a powerful recorder of REE metallogenesis and a potential pathfinder for REE deposits. Zircons from REE and Nb fertile intrusions lack Eu anomalies and have elevated Gd/Yb and Th/Yb, indicating they crystallised from magmas that originated from deep, oxidised and enriched mantle sources. Complexes with Nb enrichment have low U/Nb, reflecting an enriched mantle source, whereas high U/Nb in REE-only fertile intrusions suggest a subduction-metasomatised mantle source. Machine learning models demonstrate high accuracy in classifying zircon from barren and fertile deposits. Classification of detrital zircons shows that REE-enriched deposits correlate with supercontinent assembly, whereas Nb fertile complexes are associated with supercontinent breakup. This approach offers a new, mineral to global scale, petrologic and exploration tool that enhances understanding of REE metallogenesis.</span></p>","language":"English","publisher":"European Association of Geochemistry","doi":"10.7185/geochemlet.2540","usgsCitation":"Hillenbrand, I.W., 2025, Zircon as a pathfinder to REE mineralization: Geochemical Perspectives Letters, v. 37, p. 18-23, https://doi.org/10.7185/geochemlet.2540.","productDescription":"6 p.","startPage":"18","endPage":"23","ipdsId":"IP-177435","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":496716,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7185/geochemlet.2540","text":"Publisher Index Page"},{"id":496500,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","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":949957,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70274022,"text":"70274022 - 2025 - Red spruce forest stand structure and Virginia northern flying squirrel habitat suitability","interactions":[],"lastModifiedDate":"2026-02-20T15:26:36.787455","indexId":"70274022","displayToPublicDate":"2025-10-20T09:24:53","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2043,"text":"International Journal of Forestry Research","active":true,"publicationSubtype":{"id":10}},"title":"Red spruce forest stand structure and Virginia northern flying squirrel habitat suitability","docAbstract":"<p><span>The Virginia northern flying squirrel (</span><i>Glaucomys sabrinus fuscus</i><span>; VNFS) is a rare, Pleistocene-relict, disjunct subspecies of the northern flying squirrel. The squirrel occurs only in high-elevation red spruce (</span><i>Picea rubens</i><span>) forests of the central Appalachian Mountains of Virginia and West Virginia—a forest type that was substantially reduced by exploitative logging and wildfire in the 1890s–1930. Owing to its cryptic nature and difficulty of capture, managers have relied on an evolving series of predicted habitat suitability models that primarily have used topographic measures and red spruce cover class to assess potential occupancy on the landscape. Currently, VNFS is considered the sentinel species in the region whereby its predicted presence indicates red spruce forests with higher relative habitat integrity, and unsuitable habitat highlights where red spruce restoration or enhancement should occur. However, extant VNFS models only use red spruce percent composition and do not provide insights into forest structure, such as forest canopy height or basal area, that are needed by managers to implement restoration or assess effectiveness. We examined recent historical VNFS observations from nest-box surveys and radiotelemetry data (natural dens and foraging points) relative to random pseudoabsence points across red spruce cover classes from the most current VNFS predicted probability habitat model. Using generalized linear models in an information-theoretic approach, we found that within each red spruce composition class, suitable VNFS habitat was related to increased forest canopy height (m), basal area (m</span><sup>2</sup><span>·ha</span><sup>−1</sup><span>), quadratic mean diameter (cm), and stem density (number of trees ha</span><sup>−1</sup><span>), indicating that, within red spruce and mixed red spruce–northern hardwood forests, VNFS is associated most with mature forest conditions. Accordingly, our results could be recombined with habitat suitability models to prioritize where, for example, red spruce forest structural enhancement would facilitate shifting a given stand to a higher probability condition for VNFS use.</span></p>","language":"English","publisher":"Wiley","doi":"10.1155/ijfr/4526136","usgsCitation":"Humbert, T.R., McKellips, A.W., Carter, D.R., Green, P.C., De La Cruz, J.L., Diggins, C.A., Ford, W., 2025, Red spruce forest stand structure and Virginia northern flying squirrel habitat suitability: International Journal of Forestry Research, v. 2025, 4526136, 9 p., https://doi.org/10.1155/ijfr/4526136.","productDescription":"4526136, 9 p.","ipdsId":"IP-180938","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":500828,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1155/ijfr/4526136","text":"Publisher Index Page"},{"id":500341,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Virginia, West Virginia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -78,\n              39.5833\n            ],\n            [\n              -80.833,\n              39.5833\n            ],\n            [\n              -80.833,\n              37.9167\n            ],\n            [\n              -78,\n              37.9167\n            ],\n            [\n              -78,\n              39.5833\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"2025","noUsgsAuthors":false,"publicationDate":"2025-10-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Humbert, Tanner R.","contributorId":366758,"corporation":false,"usgs":false,"family":"Humbert","given":"Tanner","middleInitial":"R.","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":956186,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKellips, Abigail W.","contributorId":366759,"corporation":false,"usgs":false,"family":"McKellips","given":"Abigail","middleInitial":"W.","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":956187,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carter, David R.","contributorId":366863,"corporation":false,"usgs":false,"family":"Carter","given":"David","middleInitial":"R.","affiliations":[],"preferred":false,"id":956333,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Green, P. 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,{"id":70272267,"text":"70272267 - 2025 - Land application of biosolid, livestock, and drilling wastes to US farmland: A potential pathway for the redistribution of contaminants in the environment","interactions":[],"lastModifiedDate":"2025-11-21T17:28:56.782335","indexId":"70272267","displayToPublicDate":"2025-10-20T07:56:56","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9161,"text":"Environmental Science: Processes & Impacts","active":true,"publicationSubtype":{"id":10}},"title":"Land application of biosolid, livestock, and drilling wastes to US farmland: A potential pathway for the redistribution of contaminants in the environment","docAbstract":"<p><span>In the United States (U.S.), waste byproducts generated from the treatment of municipal waste (biosolids), production of livestock (livestock waste), and drilling of oil and gas wells (drilling waste) are commonly applied to agricultural lands. Although this can be a cost-effective reuse/disposal practice, there is limited research on the potential for contaminant exposures and effects on ecosystems, wildlife, and human health from such land applications. In this study, we conducted extensive chemical, microbial, and toxicity analyses of biosolid, livestock, and drilling wastes just prior to land application on agricultural lands at 34 sites across the U.S. Twenty-two analytical methods were used to determine potential contaminant exposures profiles for 452 organic and 114 inorganic chemicals, nine microbial groups, estrogenicity, and cytotoxicity. Analytical results document unique and substantial chemical, microbial, and toxicity profiles for these land-applied wastes. Of the three waste byproducts, biosolids contained the greatest concentrations of household chemicals, pesticides, pharmaceuticals, per-/polyfluoroalkyl substances, calcium, and phosphorus. Livestock waste contained the greatest concentrations of total and leachable dissolved organic carbon, biogenic hormones, mycotoxins, plant estrogens, total inorganic nitrogen, and potassium. Drilling waste contained the greatest concentrations of BTEX compounds (benzene, toluene, ethylbenzene, and xylenes), polycyclic aromatic hydrocarbons, rare-earth elements, barium, strontium, and uranium–thorium series radioisotopes. Biosolid and livestock wastes had greater culturable heterotrophic bacteria, halophilic bacteria,&nbsp;</span><i>Escherichia coli</i><span>&nbsp;(</span><i>E. coli</i><span>), enterococci, and staphylococci concentrations, and greater microbial diversity than drilling waste. Bioassay analyses indicated that exposure to contaminants in livestock wastes and biosolids could result in estrogenic effects, whereas exposure to contaminants in drilling waste could result in cytotoxic effects. Our study documents that current reuse/disposal practices for biosolid, livestock, and drilling wastes on agricultural lands could provide a potential pathway for the redistribution of unique and complex contaminant mixtures into the environment that have bioactive, endocrine disrupting, and carcinogenic characteristics. Results of this study provide a snapshot of chemical compositions and concentrations that can be used to inform the development of best-management practices to help maximize beneficial reuse of these wastes and minimize risk to the environment and human health.</span></p>","language":"English","publisher":"Royal Society of Chemistry","doi":"10.1039/D5EM00312A","usgsCitation":"Masoner, J.R., Kolpin, D., Cozzarelli, I.M., Akob, D.M., Conaway, C.H., Givens, C.E., Hladik, M.L., Hubbard, L.E., Lane, R.F., McCleskey, R., Preston, T.M., Raines, C.D., Varonka, M., and Wilson, M.C., 2025, Land application of biosolid, livestock, and drilling wastes to US farmland: A potential pathway for the redistribution of contaminants in the environment: Environmental Science: Processes & Impacts, v. 27, p. 3372-3402, https://doi.org/10.1039/D5EM00312A.","productDescription":"31 p.","startPage":"3372","endPage":"3402","ipdsId":"IP-163070","costCenters":[{"id":48595,"text":"Oklahoma-Texas Water Science 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Center","active":true,"usgs":true},{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950618,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":950619,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Akob, Denise M. 0000-0003-1534-3025 dakob@usgs.gov","orcid":"https://orcid.org/0000-0003-1534-3025","contributorId":217750,"corporation":false,"usgs":true,"family":"Akob","given":"Denise","email":"dakob@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":950620,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Conaway, Christopher H. 0000-0002-0991-033X cconwaya@usgs.gov","orcid":"https://orcid.org/0000-0002-0991-033X","contributorId":127598,"corporation":false,"usgs":true,"family":"Conaway","given":"Christopher","email":"cconwaya@usgs.gov","middleInitial":"H.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":950621,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Givens, Carrie E. 0000-0003-2543-9610","orcid":"https://orcid.org/0000-0003-2543-9610","contributorId":247691,"corporation":false,"usgs":true,"family":"Givens","given":"Carrie","middleInitial":"E.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950622,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":221087,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950623,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hubbard, Laura E. 0000-0003-3813-1500 lhubbard@usgs.gov","orcid":"https://orcid.org/0000-0003-3813-1500","contributorId":4221,"corporation":false,"usgs":true,"family":"Hubbard","given":"Laura","email":"lhubbard@usgs.gov","middleInitial":"E.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950624,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lane, Rachael F. 0000-0001-9202-0612","orcid":"https://orcid.org/0000-0001-9202-0612","contributorId":222471,"corporation":false,"usgs":true,"family":"Lane","given":"Rachael","email":"","middleInitial":"F.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":950625,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"McCleskey, R. Blaine 0000-0002-2521-8052","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":205663,"corporation":false,"usgs":true,"family":"McCleskey","given":"R. Blaine","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":950626,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Preston, Todd M. 0000-0002-8812-9233","orcid":"https://orcid.org/0000-0002-8812-9233","contributorId":204676,"corporation":false,"usgs":true,"family":"Preston","given":"Todd","email":"","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":950627,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Raines, Clayton D. 0000-0002-0403-190X","orcid":"https://orcid.org/0000-0002-0403-190X","contributorId":296362,"corporation":false,"usgs":true,"family":"Raines","given":"Clayton","middleInitial":"D.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":950628,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Varonka, Matthew S. 0000-0003-3620-5262","orcid":"https://orcid.org/0000-0003-3620-5262","contributorId":203231,"corporation":false,"usgs":true,"family":"Varonka","given":"Matthew S.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950629,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Wilson, Michaelah C. 0000-0001-7052-9506","orcid":"https://orcid.org/0000-0001-7052-9506","contributorId":229469,"corporation":false,"usgs":true,"family":"Wilson","given":"Michaelah","email":"","middleInitial":"C.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950630,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70272454,"text":"70272454 - 2025 - Rare earth element-mineralized carbonatite in the Bear Lodge Alkaline Complex, USA—Ore genesis implications from fluid inclusion characterization","interactions":[],"lastModifiedDate":"2025-11-21T19:21:24.700308","indexId":"70272454","displayToPublicDate":"2025-10-17T08:54:42","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":732,"text":"American Journal of Science","active":true,"publicationSubtype":{"id":10}},"title":"Rare earth element-mineralized carbonatite in the Bear Lodge Alkaline Complex, USA—Ore genesis implications from fluid inclusion characterization","docAbstract":"<p><span>Rare earth element (REE) resources of the Bear Lodge Alkaline Complex, Wyoming, are hosted in variably leached carbonatite spatially related to diatreme breccia pipes. We investigated the genesis of REE and lesser-known gold resources through fluid inclusion analysis of carbonatite, fluorite breccia, and smoky quartz vein samples. Physicochemical characteristics of inclusion-trapped fluids were evaluated using petrography, microthermometry, Raman spectroscopy, decrepitate mound analysis, energy-dispersive spectroscopy, laser ablation inductively coupled plasma mass spectrometry, and noble gas isotope analysis.</span></p><p><span>Microthermometry results reveal three fluid types that affected carbonatite dikes within deeper zones that escaped near-surface, ore-grade REE enrichment: (1) high-temperature (330–432°C) magmatic fluid captured in fine-grained calcite; (2) REE-enriched alkali bicarbonate-sulfate brine; and (3) low-temperature (117–182°C) diluted magmatic or meteoric water. Multiphase brine-like inclusions contain burbankite, nahcolite, strontianite, celestine and alkali sulfate daughter crystals, linking them to early burbankite mineralization. Peripheral smoky quartz and fluorite occurrences at Smith Ridge, 1.5 km from the central carbonatite dike swarm, contain primary inclusions that are Cl-poor and rich in Na-HCO</span><sub>3</sub><span>-SO</span><sub>4</sub><span>, similar to secondary and pseudosecondary inclusions in carbonatites. Helium isotopes reveal a MORB-like source for carbonatite samples and an older crust signature at Smith Ridge, consistent with the proximal ridge-top exposures of Archean granite.</span></p><p><span>Results from this fluid inclusion study coupled with previous studies of carbonatite mineral paragenesis, show that light REEs (LREEs) were not mobilized great distances. Instead, burbankite crystallized within carbonatite from alkali bicarbonate fluids. With sodium retained in early burbankite, outward-emanating fluids enriched in potassium relative to sodium (higher K:Na) resulted in potassium–ferric iron metasomatism of silicate host rocks. This alkali fractionation was accompanied by fractionation of LREEs and heavy REEs (HREEs), with LREEs dominating the central carbonatite resources. In contrast, areas of peripheral REE mineralization at Bear Lodge are commonly characterized by higher HREE:LREE ratios. The K:Na ratio of associated fenites or alteration assemblages could be indicative of early crystallized burbankite in carbonatites and REE fractionation processes potentially leading to areas of concentrated HREEs with greater supply vulnerabilities.</span></p>","language":"English","publisher":"American Journal of Science","doi":"10.2475/001c.143992","usgsCitation":"Andersen, A.K., Olinger, D., and Bennett, M.M., 2025, Rare earth element-mineralized carbonatite in the Bear Lodge Alkaline Complex, USA—Ore genesis implications from fluid inclusion characterization: American Journal of Science, v. 325, 13, 30 p., https://doi.org/10.2475/001c.143992.","productDescription":"13, 30 p.","ipdsId":"IP-175385","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":496927,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2475/001c.143992","text":"Publisher Index Page"},{"id":496794,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota, Wyoming","otherGeospatial":"Bear Lodge Alkaline Complex","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -109.73004963771243,\n              44.08376961090204\n            ],\n            [\n              -109.73004963771243,\n              43.03710902132369\n            ],\n            [\n              -99.73805313605138,\n              43.03710902132369\n            ],\n            [\n              -99.73805313605138,\n              44.08376961090204\n            ],\n            [\n              -109.73004963771243,\n              44.08376961090204\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"325","noUsgsAuthors":false,"publicationDate":"2025-10-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Andersen, Allen K. 0000-0002-6865-2561","orcid":"https://orcid.org/0000-0002-6865-2561","contributorId":217476,"corporation":false,"usgs":true,"family":"Andersen","given":"Allen","email":"","middleInitial":"K.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":950815,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olinger, Danielle A. 0000-0001-8375-5852 dolinger@usgs.gov","orcid":"https://orcid.org/0000-0001-8375-5852","contributorId":201968,"corporation":false,"usgs":true,"family":"Olinger","given":"Danielle A.","email":"dolinger@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":950816,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bennett, Mitchell M. 0000-0001-9533-9557 mbennett@usgs.gov","orcid":"https://orcid.org/0000-0001-9533-9557","contributorId":199379,"corporation":false,"usgs":true,"family":"Bennett","given":"Mitchell","email":"mbennett@usgs.gov","middleInitial":"M.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":950817,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70273077,"text":"70273077 - 2025 - Museum records provide unique information about the distribution of the Yellow Lampmussel <i>Lampsilis cariosa</i> (Unionidae)","interactions":[],"lastModifiedDate":"2025-12-12T19:14:40.520059","indexId":"70273077","displayToPublicDate":"2025-10-15T12:07:54","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Museum records provide unique information about the distribution of the Yellow Lampmussel <i>Lampsilis cariosa</i> (Unionidae)","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Natural history museum records may provide unique information on the distribution of species that can supplement survey data collected by resource managers. However, there can be challenges to using museum data for analyses, such as spurious geographic information, misidentifications, and incorrect labeling. Museum records have been centralized by open-source repositories with flags for coordinate precision and out-of-range specimens, providing some information about record uncertainty in general. Verification of uncertain museum records could increase confidence in distribution data and improve understanding of biodiversity patterns and range dynamics through time. The goal of this study was to determine if museum records provide unique information about the distribution of the Yellow Lampmussel&nbsp;</span><i>Lampsilis cariosa</i><span>&nbsp;(Say, 1817), an at-risk freshwater mussel species. We created a dichotomous key based on a hierarchy of conchological characteristics to verify the taxonomic identity of flagged&nbsp;</span><i>L. cariosa</i><span>&nbsp;specimens and assessed records occurring outside of the species’ expected range as compiled from primary literature. Fifty percent of flagged specimens were confirmed as&nbsp;</span><i>L. cariosa</i><span>. Of the invalid records, 56% were misidentifications, mainly of other&nbsp;</span><i>Lampsilis</i><span>&nbsp;species. Overall, museum collections (1800s–present) contributed 32 unique watersheds not represented by modern survey records (1980s–present, comprising 92 watersheds) including 13 unexpected watersheds in regions of New York and Vermont (USA) and Québec and Ontario (Canada). Our study provides a reproducible method for the reverification of freshwater mussel museum records and highlights how these records can provide unique contributions to our understanding of the geographic range of a rare, at-risk mussel species.</span></span></p>","language":"English","publisher":"The University of Chicago Press","doi":"10.1086/738615","usgsCitation":"Fedarick, J., Murphy, C.A., Record, S., and Roy, A.H., 2025, Museum records provide unique information about the distribution of the Yellow Lampmussel <i>Lampsilis cariosa</i> (Unionidae): Freshwater Science, v. 44, no. 4, p. 434-442, https://doi.org/10.1086/738615.","productDescription":"9 p.","startPage":"434","endPage":"442","ipdsId":"IP-174004","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":497501,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"New York, Vermont","otherGeospatial":"Ontario, Quebec","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -90.15950260000896,\n              56.462837792190584\n            ],\n            [\n              -95.77691469485542,\n              49.71284520828655\n            ],\n            [\n              -85.11013420152203,\n              46.85470065182994\n            ],\n            [\n              -81.95949958747218,\n              44.63027898467527\n            ],\n            [\n              -79.51850001152886,\n              42.05772807401594\n            ],\n            [\n              -73.39821683387511,\n              41.96978452451617\n            ],\n            [\n              -72.36699219294661,\n              42.840968406530905\n            ],\n            [\n              -71.94060238105281,\n              45.20492109068548\n            ],\n            [\n              -64.41091936819154,\n              50.95131087236287\n            ],\n            [\n              -72.30757566485309,\n              56.462837792190584\n            ],\n            [\n              -90.15950260000896,\n              56.462837792190584\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"44","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fedarick, Jillian","contributorId":363950,"corporation":false,"usgs":false,"family":"Fedarick","given":"Jillian","affiliations":[],"preferred":false,"id":952246,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murphy, Christina Amy 0000-0002-3467-6610","orcid":"https://orcid.org/0000-0002-3467-6610","contributorId":335232,"corporation":false,"usgs":true,"family":"Murphy","given":"Christina","email":"","middleInitial":"Amy","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":952247,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Record, Sydne 0000-0001-7293-2155","orcid":"https://orcid.org/0000-0001-7293-2155","contributorId":353707,"corporation":false,"usgs":false,"family":"Record","given":"Sydne","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":952248,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roy, Allison H. 0000-0002-8080-2729 aroy@usgs.gov","orcid":"https://orcid.org/0000-0002-8080-2729","contributorId":4240,"corporation":false,"usgs":true,"family":"Roy","given":"Allison","email":"aroy@usgs.gov","middleInitial":"H.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":952249,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70272763,"text":"70272763 - 2025 - Genetic and environmental factors associated with survival of a rare songbird in a fragmented urban landscape","interactions":[],"lastModifiedDate":"2026-01-07T17:38:24.690661","indexId":"70272763","displayToPublicDate":"2025-10-08T08:07:34","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"title":"Genetic and environmental factors associated with survival of a rare songbird in a fragmented urban landscape","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>The coastal Cactus Wren (</span><i>Campylorhynchus brunneicapillus</i><span>) persists in small and fragmented populations throughout southern California that are subject to genetic drift and inbreeding. We combined individual banding and resighting data and genotyped individuals at 22 microsatellite loci to assess whether heterozygosity was associated with survival across three regional Cactus Wren populations on conserved lands in Orange and San Diego Counties between 2009 and 2020. Using Cormack-Jolly-Seber models (CJS) to analyze the 5-year capture histories of 528 individual wrens, we found that age class (hatch year or after hatch year) was the strongest predictor of survival. Individual heterozygosity and precipitation also had positive effects on survival, with survival up to 2 times higher in the most heterozygous individuals compared to the least and up to 1.5 times higher in high precipitation years versus drought years. Multi-locus heterozygosity was significantly correlated across loci, suggesting that inbreeding depression is likely driving the association between survival and heterozygosity. Study results support that genetic rescue efforts that reduce inbreeding have the potential to improve fitness and mitigate further loss of genetic variation in managed populations.</span></span></p>","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/csp2.70155","usgsCitation":"Vandergast, A.G., Mitelberg, A., Kus, B.E., Preston, K.L., Lynn, S., Houston, A., and Klinger, R.C., 2025, Genetic and environmental factors associated with survival of a rare songbird in a fragmented urban landscape: Conservation Science and Practice, v. 7, no. 12, e70155, 14 p., https://doi.org/10.1111/csp2.70155.","productDescription":"e70155, 14 p.","ipdsId":"IP-180356","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":497185,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":497395,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.70155","text":"Publisher Index Page"}],"country":"United States","state":"California","county":"Orange County, San Diego County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -118.45098240465302,\n              33.788832546013026\n            ],\n            [\n              -118.45098240465302,\n              32.58385755405139\n            ],\n            [\n              -116.21159447208314,\n              32.58385755405139\n            ],\n            [\n              -116.21159447208314,\n              33.788832546013026\n            ],\n            [\n              -118.45098240465302,\n              33.788832546013026\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"7","issue":"12","noUsgsAuthors":false,"publicationDate":"2025-10-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Vandergast, Amy G. 0000-0002-7835-6571","orcid":"https://orcid.org/0000-0002-7835-6571","contributorId":57201,"corporation":false,"usgs":true,"family":"Vandergast","given":"Amy","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951635,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mitelberg, Anna 0000-0002-3309-9946 amitelberg@usgs.gov","orcid":"https://orcid.org/0000-0002-3309-9946","contributorId":218945,"corporation":false,"usgs":true,"family":"Mitelberg","given":"Anna","email":"amitelberg@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951636,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kus, Barbara E. 0000-0002-3679-3044 barbara_kus@usgs.gov","orcid":"https://orcid.org/0000-0002-3679-3044","contributorId":203745,"corporation":false,"usgs":true,"family":"Kus","given":"Barbara","email":"barbara_kus@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951637,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Preston, Kristine L. 0000-0002-6958-1128 kpreston@usgs.gov","orcid":"https://orcid.org/0000-0002-6958-1128","contributorId":207765,"corporation":false,"usgs":true,"family":"Preston","given":"Kristine","email":"kpreston@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951638,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lynn, Suellen 0000-0003-1543-0209 suellen_lynn@usgs.gov","orcid":"https://orcid.org/0000-0003-1543-0209","contributorId":3843,"corporation":false,"usgs":true,"family":"Lynn","given":"Suellen","email":"suellen_lynn@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951639,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Houston, Alexandra 0000-0002-8599-8265 ahouston@usgs.gov","orcid":"https://orcid.org/0000-0002-8599-8265","contributorId":139460,"corporation":false,"usgs":true,"family":"Houston","given":"Alexandra","email":"ahouston@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951640,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Klinger, Robert C.","contributorId":363410,"corporation":false,"usgs":false,"family":"Klinger","given":"Robert","middleInitial":"C.","affiliations":[{"id":17847,"text":"USGS-WERC","active":true,"usgs":false}],"preferred":false,"id":951641,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70273938,"text":"70273938 - 2025 - Pre-Acadian tectonics of the eastern Orange-Milford Belt, south-central Connecticut","interactions":[],"lastModifiedDate":"2026-02-18T15:29:02.070069","indexId":"70273938","displayToPublicDate":"2025-10-03T09:18:40","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Pre-Acadian tectonics of the eastern Orange-Milford Belt, south-central Connecticut","docAbstract":"<p>This excursion presents a reinterpretation of mapping and new analytical data from the eastern Orange-Milford belt (OMB) in south-central Connecticut. The OMB is a fault-bound terrane of argillites and mafic rocks of anomalously low metamorphic grade—and of poorly constrained ages and tectonic affinity—wedged between kyanite/sillimanite-grade peri- Laurentian rocks to the west and anatectic peri-Gondwanan rocks to the east (Fig. 1A). Our data demonstrate that Ordovician(?) igneous and sedimentary rocks of the OMB were variably metamorphosed in the Ordovician and Silurian but escaped regionally pervasive, high-grade Devonian and later metamorphism. Previous interpretations (Fritts 1963a, 1965a, 1965b; Burger, 1967; Burger and others, 1968; Rodgers, 1985) described these rocks as a conformable sequence of low-grade, Ordovician to Devonian metasediments and metavolcanics. Our results reveal that the “metavolcanics” are not extrusive rocks but rather slivers of lower oceanic crust with complicated high- and low-grade metamorphic fabrics, intruded by a swarm of Silurian sheeted basalt dikes, and in fault contact with the surrounding metasediments. The purpose of this trip is to show evidence of early Paleozoic (Taconic) deformation and metamorphism preserved in rocks of the eastern OMB. These rocks remained shallow, cool, and sufficiently dry during the regionally dominant Acadian and Alleghanian orogenies to have avoided significant overprinting. As such, these rocks serve as windows into a geologic history otherwise unavailable between anatectic rocks of the peri-Gondwanan Bronson Hill, Avalon, and Gander terranes east of the Hartford basin and sillimanite-grade rocks of the peri-Laurentian Hartland and gneiss dome belts west of the OMB. We present major and trace element geochemistry including rare-earth element patterns for all mafic units in the eastern OMB as well as <sup>40</sup>Ar/<sup>39</sup>Ar age spectra of amphibole, muscovite, and K-feldspar from rocks of the Maltby Lakes complex (of Deasy and others, 2017), Savin Schist, and Wepawaug Schist. Our evidence demonstrates that the units of the OMB have been assembled by faulting or intrusion, and that no stratigraphic relationships exist between the argillaceous schists and the metaigneous rocks.&nbsp;</p>","conferenceTitle":"The 116th Annual Meeting of the New England Intercollegiate Geological Conference","conferenceDate":"October 3-5, 2025","conferenceLocation":"New Haven, CT","language":"English","publisher":"New England Intercollegiate Geologic Conference","usgsCitation":"Deasy, R.T., Wintsch, R.P., Wathen, B., McAleer, R.J., Meyer, R., and Kunk, M.J., 2025, Pre-Acadian tectonics of the eastern Orange-Milford Belt, south-central Connecticut, The 116th Annual Meeting of the New England Intercollegiate Geological Conference, New Haven, CT, October 3-5, 2025, 28 p.","productDescription":"28 p.","ipdsId":"IP-180844","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":500140,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":500131,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.neigc.info/event-details/trip-c-tectonic-slivers-of-oceanic-crust-sheeted-dikes-and-sheared-gabbros-in-the-eastern-orange-milford-belt-connect"}],"country":"United States","state":"Connecticut","otherGeospatial":"Orange-Milford Belt","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -73.19443061248478,\n              41.40182493381846\n            ],\n            [\n              -73.19443061248478,\n              41.14678441229245\n            ],\n            [\n              -72.93204746185228,\n              41.14678441229245\n            ],\n            [\n              -72.93204746185228,\n              41.40182493381846\n            ],\n            [\n              -73.19443061248478,\n              41.40182493381846\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationDate":"2025-10-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Deasy, Ryan T. 0000-0002-7530-803X","orcid":"https://orcid.org/0000-0002-7530-803X","contributorId":299762,"corporation":false,"usgs":true,"family":"Deasy","given":"Ryan","middleInitial":"T.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":955820,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wintsch, Robert P. 0000-0002-1969-5514","orcid":"https://orcid.org/0000-0002-1969-5514","contributorId":366404,"corporation":false,"usgs":false,"family":"Wintsch","given":"Robert","middleInitial":"P.","affiliations":[{"id":86055,"text":"Indiana University emeritus","active":true,"usgs":false}],"preferred":false,"id":955821,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wathen, Bryan","contributorId":148990,"corporation":false,"usgs":false,"family":"Wathen","given":"Bryan","affiliations":[{"id":17608,"text":"Indiana Univesity","active":true,"usgs":false}],"preferred":false,"id":955822,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":215498,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan","email":"rmcaleer@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":955823,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meyer, Romain","contributorId":148991,"corporation":false,"usgs":false,"family":"Meyer","given":"Romain","email":"","affiliations":[{"id":17609,"text":"Deutsche GeoForchungsZentrum Potsdam","active":true,"usgs":false}],"preferred":false,"id":955824,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kunk, Michael J.","contributorId":366405,"corporation":false,"usgs":false,"family":"Kunk","given":"Michael","middleInitial":"J.","affiliations":[{"id":7065,"text":"USGS emeritus","active":true,"usgs":false}],"preferred":false,"id":955825,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70272235,"text":"70272235 - 2025 - A systematic literature review of forecasting and predictive models of harmful algal blooms in flowing waters","interactions":[],"lastModifiedDate":"2025-11-19T15:10:27.951072","indexId":"70272235","displayToPublicDate":"2025-10-01T09:02:45","publicationYear":"2025","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":19846,"text":"BioRxiv","active":true,"publicationSubtype":{"id":32}},"title":"A systematic literature review of forecasting and predictive models of harmful algal blooms in flowing waters","docAbstract":"<p><span>Occurrences of harmful algal blooms (HABs) in rivers challenge the belief that rivers are not susceptible to HABs because of their short residence times and fluctuating hydrology. Here we present a systematic literature review of predictive and forecasting models for HABs in flowing waters, including rivers, flowing in-stream reservoirs (e.g., run-of-river reservoirs and lock-and-dam systems) and tidal or estuarine systems with riverine processes. The review aimed to understand current and historical modeling approaches for predicting and forecasting river HABs, without restricting to specific taxa, such as cyanobacteria, or modeling endpoints. The review included 162 articles published over nearly 50 years, covering more than 80 rivers worldwide. Eutrophic, non-wadable rivers with in-stream obstruction were commonly modeled, though diverse environmental characteristics were reported. Most articles used algal biomass or chlorophyll as modeling endpoints, with a quarter using novel or unique endpoints. Algal toxins motivated model development in 23% of the articles, however just 5% used algal toxins as an endpoint. Only 6% of the articles modeled benthic HABs; the rest focused on pelagic HABs. There was no standard model used for modeling river HABs. Process-based models were more common (59%) than data-driven approaches (37%), with model formulations ranging from simple to complex, which contrasts with a lake-focused literature review of HAB models that found data-driven models were more common. Models in river settings shared similar input variables as those previously identified for lakes, such as water temperature, nutrients, and light availability. However, streamflow and other transport metrics took prominence in river models compared to lake models. Algal cell physiology (such as growth, predation, and motility) was routinely included as input data or as mathematical formulations in process-based models and these processes were frequently identified as an important predictor by the articles’ authors. Conversely, data-driven models rarely included these processes, instead using predictors related to environmental conditions, such as nutrients, water quality, water temperature, and streamflow. These important proxy predictors have apparent success with modeling overall algal biomass (irrespective of taxa) whereas other factors, such as those related to algal physiology and other biological processes, are likely responsible for more subtle shifts in community composition. These differences highlight the influence of data availability, especially for processes that are difficult, time-consuming, or expensive to measure, on model development and model outcomes, raising questions about the selection of modeling inputs and endpoints. Challenges to advancing river HAB modeling include the lack of site-specific model inputs representing key processes (e.g., photosynthetic parameters and predation rates), overlooked riverine environments like the benthos and side/back-channel areas, lack of information on environmental settings, and poorly reported model performance metrics. This review emphasizes opportunities for advancing river HAB modeling by learning from well-honed estuarine models, supporting current forecasting and operationalization efforts, and developing common datasets for river HAB model development and evaluation.</span></p>","language":"English","publisher":"BioRxiv","doi":"10.1101/2025.09.29.679270","usgsCitation":"Murphy, J.C., Gorney, R.M., Lucas, L., Zwart, J.A., and Graham, J.L., 2025, A systematic literature review of forecasting and predictive models of harmful algal blooms in flowing waters: BioRxiv, https://doi.org/10.1101/2025.09.29.679270.","productDescription":"52 p.","ipdsId":"IP-179513","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":496741,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1101/2025.09.29.679270","text":"External Repository"},{"id":496628,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Murphy, Jennifer C. 0000-0002-0881-0919 jmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-0881-0919","contributorId":4281,"corporation":false,"usgs":true,"family":"Murphy","given":"Jennifer","email":"jmurphy@usgs.gov","middleInitial":"C.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950534,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gorney, Rebecca M. 0000-0003-4406-261X","orcid":"https://orcid.org/0000-0003-4406-261X","contributorId":317259,"corporation":false,"usgs":true,"family":"Gorney","given":"Rebecca","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950535,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lucas, Lisa 0000-0001-7797-5517 llucas@usgs.gov","orcid":"https://orcid.org/0000-0001-7797-5517","contributorId":260498,"corporation":false,"usgs":true,"family":"Lucas","given":"Lisa","email":"llucas@usgs.gov","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":950536,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zwart, Jacob Aaron 0000-0002-3870-405X","orcid":"https://orcid.org/0000-0002-3870-405X","contributorId":237809,"corporation":false,"usgs":true,"family":"Zwart","given":"Jacob","email":"","middleInitial":"Aaron","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":950537,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":202923,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer","email":"jlgraham@usgs.gov","middleInitial":"L.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":950538,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70272111,"text":"70272111 - 2025 - Unique thermal mixing patterns in Lake Ontario revealed by novel year-round observations of thermal stratification","interactions":[],"lastModifiedDate":"2025-12-01T16:52:39.768257","indexId":"70272111","displayToPublicDate":"2025-09-30T08:32:43","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Unique thermal mixing patterns in Lake Ontario revealed by novel year-round observations of thermal stratification","docAbstract":"<p><span>Year-round records of thermal stratification in the Great Lakes are rare, and there are few observations of thermal stratification during winter. In this paper, we analyze temperature data from 13 temperature logger chains and from over 130 benthic acoustic receivers that were deployed across Lake Ontario for 2 yr. The timing and duration of the fall overturn correlate with the local average water depth, and shallow sites (&lt; 50 m depth) overturn up to a month before deep sites (&gt; 100 m depths). Likewise, in spring, the shallow sites warm faster. Lake Ontario has partial ice cover, so wind-driven mixing stirs the water column throughout winter, and inverse thermal stratification is largely absent. The depth-averaged winter water temperatures vary between 0°C and 4°C, with the coldest temperatures (near 0.1°C) found in the shallow Kingston basin and warmest temperatures (near 4°C) at sites near the 244 m deep Rochester Basin. Lake Ontario appears to be a warm monomictic lake, rather than having a dimictic mixing pattern as previously described—there is no sustained ice cover or inverse stratification that inhibits vertical mixing in winter. Winter is a poorly understood season for many aquatic processes, including fish bioenergetics, fish distribution, biochemical processes, invertebrate distribution, and production. Moreover, the lack of knowledge of winter has hampered the use of correct initial conditions for running large lake hydrodynamic models.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/lno.70215","usgsCitation":"Wells, M., Johnson, T.B., Robinson, R., Midwood, J., Shi, Y., Larocque, S., Eddie, A., O’Malley, B., Morton, K., Gorsky, D., and Tufts, B., 2025, Unique thermal mixing patterns in Lake Ontario revealed by novel year-round observations of thermal stratification: Limnology and Oceanography, v. 70, no. 11, p. 3401-3416, https://doi.org/10.1002/lno.70215.","productDescription":"16 p.","startPage":"3401","endPage":"3416","ipdsId":"IP-172993","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":496724,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lno.70215","text":"Publisher Index Page"},{"id":496547,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Ontario","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -79.78126269236606,\n              43.849668511156636\n            ],\n            [\n              -79.95229850972663,\n              43.15709007053752\n            ],\n            [\n              -76.22048994427152,\n              43.15709007053752\n            ],\n            [\n              -76.22048994427152,\n              43.95311540355402\n            ],\n            [\n              -76.40563844358272,\n              44.26739789863049\n            ],\n            [\n              -79.78126269236606,\n              43.849668511156636\n            ]\n      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Natural Resources","active":true,"usgs":false}],"preferred":false,"id":950107,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Midwood, Jon","contributorId":353235,"corporation":false,"usgs":false,"family":"Midwood","given":"Jon","affiliations":[{"id":52613,"text":"DFO","active":true,"usgs":false}],"preferred":false,"id":950108,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shi, Yulu","contributorId":362150,"corporation":false,"usgs":false,"family":"Shi","given":"Yulu","affiliations":[{"id":7044,"text":"University of Toronto","active":true,"usgs":false}],"preferred":false,"id":950109,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Larocque, Sarah M.","contributorId":347506,"corporation":false,"usgs":false,"family":"Larocque","given":"Sarah M.","affiliations":[{"id":48871,"text":"University of Windsor","active":true,"usgs":false}],"preferred":false,"id":950110,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Eddie, Adam","contributorId":362152,"corporation":false,"usgs":false,"family":"Eddie","given":"Adam","affiliations":[{"id":7044,"text":"University of Toronto","active":true,"usgs":false}],"preferred":false,"id":950111,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"O’Malley, Brian 0000-0001-5035-3080 bomalley@usgs.gov","orcid":"https://orcid.org/0000-0001-5035-3080","contributorId":216560,"corporation":false,"usgs":true,"family":"O’Malley","given":"Brian","email":"bomalley@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":950112,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Morton, Kyle 0009-0008-2231-9000","orcid":"https://orcid.org/0009-0008-2231-9000","contributorId":353229,"corporation":false,"usgs":false,"family":"Morton","given":"Kyle","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":950236,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gorsky, Dimitri","contributorId":354793,"corporation":false,"usgs":false,"family":"Gorsky","given":"Dimitri","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":950113,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Tufts, Bruce","contributorId":256637,"corporation":false,"usgs":false,"family":"Tufts","given":"Bruce","email":"","affiliations":[{"id":36943,"text":"Queens University","active":true,"usgs":false}],"preferred":false,"id":950114,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70272231,"text":"70272231 - 2025 - Quantifying landscape-level biodiversity change in an island ecosystem: A 50-year assessment of shifts in the Hawaiian avian community","interactions":[],"lastModifiedDate":"2025-11-19T15:01:54.383873","indexId":"70272231","displayToPublicDate":"2025-09-26T07:54:10","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1445,"text":"Ecography","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying landscape-level biodiversity change in an island ecosystem: A 50-year assessment of shifts in the Hawaiian avian community","docAbstract":"<p><span>Hawaii has experienced profound declines in native avifauna alongside the introduction of numerous bird species. While site-specific population studies are common, landscape-level analyses of avian population dynamics are rare, particularly in island ecosystems. To address this gap, we used a density surface model to create a spatio-temporal projection of population densities and distributions across the Island of Hawai‘i, spanning nearly five decades (1976–2023). We incorporated environmental covariates of habitat, precipitation, and elevation, to further refine our projections. Our analysis encompassed nine native and six non-native bird species, inhabiting a range of ecological niches. We found five out of nine native species have declined in density and range size while four were stable. For non-native species, two were stable, one was decreasing, and three were increasing in density and range size. Our landscape projections can inform management by suggesting areas critical for habitat preservation and land acquisition for conservation, identifying where range fragmentation is occurring, and pinpointing locations of multi-species declines that are likely driven by a common cause. Our study demonstrates how long-term, landscape-level monitoring and analyses can advance understanding and addressing biodiversity loss, particularly in vulnerable tropical island ecosystems.</span></p>","language":"English","publisher":"Nordic Society Oikos","doi":"10.1002/ecog.07907","usgsCitation":"Bak, T., Fortini, L., Hunt, N., Banko, P.C., Schnell, L., and Camp, R.J., 2025, Quantifying landscape-level biodiversity change in an island ecosystem: A 50-year assessment of shifts in the Hawaiian avian community: Ecography, v. 2025, no. 11, e07907, 18 p., https://doi.org/10.1002/ecog.07907.","productDescription":"e07907, 18 p.","ipdsId":"IP-177022","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":496739,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecog.07907","text":"Publisher Index Page"},{"id":496624,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -156.31156357630775,\n              20.24770610218596\n            ],\n            [\n              -156.31156357630775,\n              18.872624778542928\n            ],\n            [\n              -154.63317186924985,\n              18.872624778542928\n            ],\n            [\n              -154.63317186924985,\n              20.24770610218596\n            ],\n            [\n              -156.31156357630775,\n              20.24770610218596\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"2025","issue":"11","noUsgsAuthors":false,"publicationDate":"2025-09-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Bak, Trevor","contributorId":292157,"corporation":false,"usgs":false,"family":"Bak","given":"Trevor","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":950519,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fortini, Lucas Berio 0000-0002-5781-7295","orcid":"https://orcid.org/0000-0002-5781-7295","contributorId":236984,"corporation":false,"usgs":true,"family":"Fortini","given":"Lucas Berio","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":950520,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunt, Noah","contributorId":355564,"corporation":false,"usgs":false,"family":"Hunt","given":"Noah","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":950521,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Banko, Paul C. 0000-0002-6035-9803 pbanko@usgs.gov","orcid":"https://orcid.org/0000-0002-6035-9803","contributorId":3179,"corporation":false,"usgs":true,"family":"Banko","given":"Paul","email":"pbanko@usgs.gov","middleInitial":"C.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":950522,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schnell, Lena","contributorId":362454,"corporation":false,"usgs":false,"family":"Schnell","given":"Lena","affiliations":[{"id":86531,"text":"Center for the Environmental Management of Military Lands, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":950523,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Camp, Richard J. 0000-0001-7008-923X rick_camp@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-923X","contributorId":189964,"corporation":false,"usgs":true,"family":"Camp","given":"Richard","email":"rick_camp@usgs.gov","middleInitial":"J.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":950524,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70271983,"text":"70271983 - 2025 - Pit tag application in native freshwater mussels: Case studies across small, medium, and large rivers","interactions":[],"lastModifiedDate":"2025-09-30T16:01:12.915264","indexId":"70271983","displayToPublicDate":"2025-09-23T10:57:29","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5254,"text":"Freshwater Mollusk Biology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Pit tag application in native freshwater mussels: Case studies across small, medium, and large rivers","docAbstract":"<p><span>Since their first use in the mid-1980s, external passive integrated transponder (PIT) tags have facilitated innovative investigations into multiple biological traits of animals. For native freshwater mussels, PIT tags are frequently used in capture-mark-recapture applications because they allow repeated, noninvasive sampling, are easy to apply, have high retention rates, and have negligible short-term effects on growth and survival. Because of these traits, resource managers and scientists are using PIT-tagged animals to estimate survival and movement of mussels associated with restoration efforts. However, consistency is limited in how PIT tags are affixed, monitored, and reported. Thus, our objectives were to (1) share our collective experiences in PIT tagging mussels across three case studies in small, medium, and large rivers and (2) propose guidelines for tagging and reporting data from PIT tag studies with native freshwater mussels to facilitate comparisons across future studies. The number of studies that have marked mussels with PIT tags has increased over the past 10 years. The ability to detect mussels using PIT tags has substantially advanced research in three areas of mussel ecology: (1) estimating vital rates (e.g., growth and survival), (2) tracking movements and behaviors of captively propagated, wild, and translocated individuals, and (3) improving our understanding of life history traits, such as reproductive timing. Each case study offers insights on tagging methods, tag loss, tag retention, and monitoring frequency across multiple species that range in conservation status from common to rare. We conclude with best-practice guidelines for placing PIT tags on freshwater mussels and a list of variables that could be reported in future studies to facilitate cross-system comparisons.</span></p>","language":"English","publisher":"Freshwater Mollusk Conservation Society","doi":"10.31931/fmbc-d-25-00002","usgsCitation":"Tiemann, J.S., Ashton, M.J., Douglass, S.A., Stodola, A.P., Vinsel, R.M., and Newton, T.J., 2025, Pit tag application in native freshwater mussels: Case studies across small, medium, and large rivers: Freshwater Mollusk Biology and Conservation, v. 28, no. 2, p. 71-82, https://doi.org/10.31931/fmbc-d-25-00002.","productDescription":"12 p.","startPage":"71","endPage":"82","ipdsId":"IP-167177","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":496334,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.31931/fmbc-d-25-00002","text":"Publisher Index Page"},{"id":496271,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tiemann, Jeremy S.","contributorId":361870,"corporation":false,"usgs":false,"family":"Tiemann","given":"Jeremy","middleInitial":"S.","affiliations":[{"id":36894,"text":"Illinois Natural History Survey","active":true,"usgs":false}],"preferred":false,"id":949599,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ashton, Matthew J.","contributorId":361871,"corporation":false,"usgs":false,"family":"Ashton","given":"Matthew","middleInitial":"J.","affiliations":[{"id":33964,"text":"Maryland Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":949600,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Douglass, Sarah A.","contributorId":361872,"corporation":false,"usgs":false,"family":"Douglass","given":"Sarah","middleInitial":"A.","affiliations":[{"id":36894,"text":"Illinois Natural History Survey","active":true,"usgs":false}],"preferred":false,"id":949601,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stodola, Alison P.","contributorId":361873,"corporation":false,"usgs":false,"family":"Stodola","given":"Alison","middleInitial":"P.","affiliations":[{"id":36894,"text":"Illinois Natural History Survey","active":true,"usgs":false}],"preferred":false,"id":949602,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vinsel, Rachel M.","contributorId":361875,"corporation":false,"usgs":false,"family":"Vinsel","given":"Rachel","middleInitial":"M.","affiliations":[{"id":36894,"text":"Illinois Natural History Survey","active":true,"usgs":false}],"preferred":false,"id":949603,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Newton, Teresa J. 0000-0001-9351-5852","orcid":"https://orcid.org/0000-0001-9351-5852","contributorId":361878,"corporation":false,"usgs":false,"family":"Newton","given":"Teresa","middleInitial":"J.","affiliations":[{"id":85472,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":false}],"preferred":false,"id":949604,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70274058,"text":"70274058 - 2025 - Breeder turnover creates allelic variation in groups of gray wolves","interactions":[],"lastModifiedDate":"2026-02-23T16:53:42.236719","indexId":"70274058","displayToPublicDate":"2025-09-23T10:44:27","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1890,"text":"Heredity","active":true,"publicationSubtype":{"id":10}},"title":"Breeder turnover creates allelic variation in groups of gray wolves","docAbstract":"<p><span>Genetic diversity is an important driver affecting the health of wildlife populations. In cooperatively breeding species, human impacts and breeder turnover can affect genetic diversity in groups. We generally do not have strong inferences about how the genetic composition of a group changes through time as individuals are lost (e.g., die, emigrate) or adopted (e.g., immigrate). I wanted to know how breeder turnover, group size, and harvest affected the fluctuation of unique alleles in groups of gray wolves (</span><i>Canis lupus</i><span>) in Idaho, USA, during 2008–2020. Turnover of breeding males was strongly associated with allelic change in groups. Turnover of breeding females also had a strong association with allelic change in groups, but was not the most supported model. Harvest was strongly correlated with breeding female turnover but not breeding male turnover. Outside of breeding female turnover, harvest generally had little effect on allelic change in groups. Groups rarely adopted new individuals unless there was a breeding vacancy. I show that over time groups gain and lose alleles in roughly equal proportions, but there are episodic changes to alleles in groups as a function of breeding male turnover. These findings have implications for how we define and evaluate group persistence and breeder lineages in cooperative breeders. Such definitions have important implications for studying the evolution and maintenance of cooperative breeding. It may be beneficial to define characteristics and vital rates of groups based, at least in part, on their underlying genetics when such information can be obtained.</span></p>","language":"English","doi":"10.1038/s41437-025-00788-4","usgsCitation":"Ausband, D.E., 2025, Breeder turnover creates allelic variation in groups of gray wolves: Heredity, v. 134, p. 577-583, https://doi.org/10.1038/s41437-025-00788-4.","productDescription":"7 p.","startPage":"577","endPage":"583","ipdsId":"IP-172832","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500588,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41437-025-00788-4","text":"Publisher Index Page"},{"id":500422,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","volume":"134","noUsgsAuthors":false,"publicationDate":"2025-09-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Ausband, David Edward 0000-0001-9204-9837","orcid":"https://orcid.org/0000-0001-9204-9837","contributorId":275329,"corporation":false,"usgs":true,"family":"Ausband","given":"David","email":"","middleInitial":"Edward","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":956322,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70271379,"text":"sir20255074 - 2025 - Using satellite imagery and soil data to understand occurrences and migration of soil conditions harmful to archaeological sites on Jamestown Island, Virginia","interactions":[],"lastModifiedDate":"2026-02-03T15:25:33.505229","indexId":"sir20255074","displayToPublicDate":"2025-09-16T10:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5074","displayTitle":"Using Satellite Imagery and Soil Data To Understand Occurrences and Migration of Soil Conditions Harmful to Archaeological Sites on Jamestown Island, Virginia","title":"Using satellite imagery and soil data to understand occurrences and migration of soil conditions harmful to archaeological sites on Jamestown Island, Virginia","docAbstract":"<p>Many know Jamestown Island, Virginia, hereafter referred to as “the Island,” located near the mouth of the James River into the Chesapeake Bay, as the home of the first permanent English settlement in North America. However, the Island is home to 15,000 years’ worth of cultural artifacts and archaeological sites. In addition to its rich history, the Island is home to a variety of native plants and animals, including many rare, threatened, and endangered species. Preserving historical and natural resources is part of Colonial National Historic Park’s (COLO) enabling legislation. To this end, COLO has been seeking data to inform management decisions on how to prioritize resources to preserve archaeological sites and anticipate changes to natural systems from sea-level rise and other effects of climate change. The U.S. Geological Survey (USGS), in partnership with COLO, collected and analyzed data to help determine soil conditions detrimental to archaeological sites across the Island using a combination of soil samples and assessments of vegetative health as a proxy for soil conditions. This study combined normalized difference vegetative index raster grids spanning 8 years, 2010 to 2018, and soil data from 50 sites sampled in dry (June 2021) and wet months (March 2022) at two different soil horizons to investigate potential hazards to plant health and corrosive conditions in the unsaturated subsurface. The data suggest that access to the James River drives soil pH and soil conductivity. Areas of the Island that are subject to frequent inundation were observed to have both higher soil conductivity (as high as 4,845 millisiemens per meter [mS/m]) and lower pH (as low as 3.84). Higher soil conductivity, or salinity, and more acidity create corrosive environment, which can destroy buried artifacts and are detrimental to vegetative health. These conditions were not limited to the edges of the Island, like Black Point. Inland locations, such as the Pitch and Tar Swamp, were observed to have some of the highest conductivity values, which were likely caused by from a combination of inflow of James River water along Back Creek into the Pitch and Tar Swamp and proximity to the Visitor Center and other high-traffic areas of the Island. A difference of normalized difference vegetative index values from 2010 to 2018 raster grid appears to support this, showing an apparent loss of vegetative health in marsh grass in the Pitch and Tar Swamp. These data may inform COLO about areas of the Island that are currently most threatened by corrosive conditions and how those conditions are likely to migrate in the future.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255074","isbn":"978-1-4113-4629-1","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Caldwell, S.H., 2025, Using satellite imagery and soil data to understand occurrences and migration of soil conditions harmful to archaeological sites on Jamestown Island, Virginia (ver. 1.1, November 2025): U.S. Geological Survey Scientific Investigations Report 2025–5074, 22 p., https://doi.org/10.3133/sir20255074.","productDescription":"Report: vii, 22 p.; Data Release","numberOfPages":"22","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-167335","costCenters":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"links":[{"id":497790,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118874.htm"},{"id":496292,"rank":7,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2025/5074/versionHist.txt","size":"632 B","linkFileType":{"id":2,"text":"txt"}},{"id":495295,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13J32J4","text":"USGS data release","linkHelpText":"Satellite imagery products from 2010, 2011, 2018 and soil data from 2021–22 on Jamestown Island, Va."},{"id":495294,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5074/images/"},{"id":495293,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5074/sir20255074.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2025-5074 XML"},{"id":495292,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255074/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5074 HTML"},{"id":495291,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5074/sir20255074.pdf","text":"Report","size":"4.19 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5074 PDF"},{"id":495290,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5074/coverthb3.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Jamestown Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -76.785,\n              37.22\n            ],\n            [\n              -76.785,\n              37.19007232242731\n            ],\n            [\n              -76.73168289008015,\n              37.19007232242731\n            ],\n            [\n              -76.73168289008015,\n              37.22\n            ],\n            [\n              -76.785,\n              37.22\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","edition":"Version 1.0: September 16, 2025; Version 1.1: September 30, 2025","contact":"<p><a href=\"mailto:dc_va@usgs.gov\" data-mce-href=\"mailto:dc_va@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/virginia-and-west-virginia-water-science-center\" data-mce-href=\"https://www.usgs.gov/centers/virginia-and-west-virginia-water-science-center\">Virginia and West Virginia Water Science Center</a><br>U.S. Geological Survey<br>1730 East Parham Road<br>Richmond, Virginia 23228</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Study Area Description</li><li>Methods</li><li>Results</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2025-09-16","revisedDate":"2025-11-17","noUsgsAuthors":false,"publicationDate":"2025-09-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Caldwell, Samuel H. 0000-0002-4444-7002","orcid":"https://orcid.org/0000-0002-4444-7002","contributorId":292520,"corporation":false,"usgs":true,"family":"Caldwell","given":"Samuel","email":"","middleInitial":"H.","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":948327,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"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":70273382,"text":"70273382 - 2025 - Stable isotope composition and geochemistry of calcite and dolomite in the Mountain Pass carbonatite: A lens into petrogenesis","interactions":[],"lastModifiedDate":"2026-01-09T15:33:40.211421","indexId":"70273382","displayToPublicDate":"2025-09-15T09:27:45","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Stable isotope composition and geochemistry of calcite and dolomite in the Mountain Pass carbonatite: A lens into petrogenesis","docAbstract":"<p>Carbonatites host most of the global rare earth element (REE) deposits. The petrogenesis of these rocks, including magmatic and post-magmatic processes, are poorly understood but critical in forming and upgrading these deposits. The Mountain Pass carbonatite, which hosts the only active REE mine in North America, is lithologically variable but consistently contains &gt;50% calcite and/or dolomite. Multiple generations of carbonates are evident, suggesting bulk analysis of carbonate minerals would generate a mixed isotopic and geochemical signature. <i>In-situ</i> stable carbon and oxygen isotopes, combined with geochemical analysis and petrography, distinguish carbonate generations, trace the source region of the carbonatite magma, and link carbonate genesis to REE mineralization throughout the intrusion. Primary carbon and oxygen isotope values outside the accepted mantle range may suggest a subduction-related carbon and oxygen source in the mantle. Deformation textures in primary calcite indicate syn- or post-crystallization ductile flow. Carbonates with secondary textures and heavy δ<sup>13</sup>C and δ<sup>18</sup>O values are associated with ore mineralization, suggesting fluid mobilization was important in concentrating REE and upgrading of the Mountain Pass deposit.&nbsp;</p>","conferenceTitle":"18th SGA Biennial Meeting","conferenceDate":"August 3-7, 2025","conferenceLocation":"Golden, CO","language":"English","publisher":"Society for Geology Applied to Mineral Deposits","usgsCitation":"Benson, E.K., Watts, K., Thompson, J.M., and Lowers, H.A., 2025, Stable isotope composition and geochemistry of calcite and dolomite in the Mountain Pass carbonatite: A lens into petrogenesis, 18th SGA Biennial Meeting, v. 2, Golden, CO, August 3-7, 2025, p. 623-626.","productDescription":"4 p.","startPage":"623","endPage":"626","ipdsId":"IP-175628","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":498506,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":498485,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.e-sga.org/publications/conference-proceedings","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"Mountain Pass Intrusive Suite","volume":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"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":953525,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":953526,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":953527,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lowers, Heather A. 0000-0001-5360-9264 hlowers@usgs.gov","orcid":"https://orcid.org/0000-0001-5360-9264","contributorId":191307,"corporation":false,"usgs":true,"family":"Lowers","given":"Heather","email":"hlowers@usgs.gov","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":953528,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70271692,"text":"70271692 - 2025 - Calcareous nannofossil biostratigraphy and floral response to environmental changes recorded in the Pliocene Yorktown Formation, southeastern Virginia, USA","interactions":[],"lastModifiedDate":"2025-09-19T14:00:53.937709","indexId":"70271692","displayToPublicDate":"2025-09-14T08:55:37","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3481,"text":"Stratigraphy","active":true,"publicationSubtype":{"id":10}},"title":"Calcareous nannofossil biostratigraphy and floral response to environmental changes recorded in the Pliocene Yorktown Formation, southeastern Virginia, USA","docAbstract":"<p><span>The Pliocene Yorktown Formation, deposited on the U.S. Mid-Atlantic Coastal Plain, has played an important role in advancing our knowledge of Pliocene paleoclimate. To refine the age and paleoenvironment of the Yorktown Formation, we analyzed the calcareous nannofossil assemblage and compared it with variations in lithology and calculated sea surface temperature (SST) from previous studies. The Yorktown Formation in the studied sections consists of, in ascending order, the Sunken Meadow, Rushmere, Morgarts Beach, and Moore House members. Sediment samples were collected from these units and analyzed for calcareous nannoplankton assemblages. The last occurrences of both <i>Reticulofenestra pseudoumbilicus</i> (3.82 Ma) and <i>Sphenolithus</i> spp. (3.61 Ma) were recognized within the Sunken Meadow Member. <i>Discoaster tamalis</i> and <i>Discoaster surculus</i> sporadically occurred within the Rushmere Member, but no specimens of the genus <i>Sphenolithus</i> were recorded, suggesting that this unit was deposited sometime between 3.61–2.76Ma. Rare occurrences of the genus <i>Discoaster</i> made it difficult to constrain the age of the Morgarts Beach and Moore House members, but they are most likely deposited before re-entrance of small <i>Gephyrocapsa</i> (ca. 2.5 Ma), supporting previous age estimates based on planktic foraminiferal biostratigraphy and variation in alkenone-based sea-surface temperature estimates. The abrupt decline of both cold-water species (<i>Coccolithus pelagicus</i>) and coastal species (<i>Helicosphaera</i> spp.) is associated with a rise in SST within the Rushmere Member just below the Morgarts Beach Member, and it may reflect a rapid transgression following the global sea-level low stand associated with Marine Isotope Stage (MIS)M2.</span></p>","language":"English","publisher":"Micropaleontological Press","doi":"10.29041/strat.22.3.02","usgsCitation":"Utsunomiya, M., and Dowsett, H.J., 2025, Calcareous nannofossil biostratigraphy and floral response to environmental changes recorded in the Pliocene Yorktown Formation, southeastern Virginia, USA: Stratigraphy, v. 22, no. 3, p. 181-193, https://doi.org/10.29041/strat.22.3.02.","productDescription":"13 p.","startPage":"181","endPage":"193","ipdsId":"IP-176133","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":495781,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Yorktown Formation","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -76.98737121401622,\n              37.28802783610621\n            ],\n            [\n              -76.98737121401622,\n              37.023565116443024\n            ],\n            [\n              -76.52207462557801,\n              37.023565116443024\n            ],\n            [\n              -76.52207462557801,\n              37.28802783610621\n            ],\n            [\n              -76.98737121401622,\n              37.28802783610621\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"22","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-09-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Utsunomiya, Masayuki","contributorId":347801,"corporation":false,"usgs":false,"family":"Utsunomiya","given":"Masayuki","affiliations":[{"id":83252,"text":"Research Institute of Geology and Geoinformation, Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology","active":true,"usgs":false}],"preferred":false,"id":949038,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dowsett, Harry J. 0000-0003-1983-7524","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":269579,"corporation":false,"usgs":true,"family":"Dowsett","given":"Harry","email":"","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":949039,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"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":"<div id=\"spara018\" class=\"u-margin-s-bottom\">The Adirondack Mountains of New York, U.S.A. contain iron oxide-apatite (IOA) mineral deposits with variable concentrations of rare earth elements (REE). The IOA mineral deposits are typically hosted in the Lyon Mountain Granite Gneiss and are spatially correlated with extensive Na metasomatism (albitization) of the surrounding country rocks, although some mineral deposits also occur in metagabbro, paragneiss, and anorthosite hosts. The location of albitization zones is key to finding new IOA mineral deposits and better understanding the mineralization processes associated with their genesis. However, the Na alteration zones are generally not visibly identifiable in outcrop or hand specimens because the color and textural changes are subtle and are thus difficult to map. Here, we discuss the results from testing two spectroscopic techniques (handheld, field gamma-ray spectroscopy, and portable X-ray fluorescence (pXRF)) to characterize albitization zones surrounding IOA mineral deposits.</div><div class=\"u-margin-s-bottom\"><br data-mce-bogus=\"1\"></div><div id=\"spara019\" class=\"u-margin-s-bottom\">The gamma-ray and pXRF spectrometers successfully distinguished the relative intensity of alteration in the Lyon Mountain Granite Gneiss based on the K abundance. The measured K content decreases towards the IOA mineral deposits, and the magnitude and width of the gradient are similar along the strike of each mineral deposit. Elevated Th and U values are present in host rocks adjacent to REE-bearing IOA mineral deposits. The pXRF and gamma-ray spectrometer K values are remarkably consistent with laboratory-based, whole-rock XRF compositional data and, therefore, useful for semi-quantitative analysis. Notably, albitization aureoles are consistent around REE-rich and REE-poor mineral deposits, suggesting that saline fluids are essential for the petrogenesis of IOA mineral deposits but may not be critical to REE mineralization. Ultimately, this study demonstrates the utility of handheld gamma-ray and pXRF spectrometry for identifying otherwise cryptic albitization gradients associated with IOA mineral deposits in granitic gneiss.</div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.oreoa.2025.100116","usgsCitation":"Suarez, K.A., Williams, M.L., Walsh, G., Harlov, D.E., Jercinovic, M.J., Tjapkes, D.J., and Hillenbrand, I.W., 2025, Alteration mapping in granitic gneiss using handheld geophysical and geochemical instruments: Implications for iron oxide-apatite and rare earth elements exploration: Ore and Energy Resource Geology, v. 19, 100116, 16 p., https://doi.org/10.1016/j.oreoa.2025.100116.","productDescription":"100116, 16 p.","ipdsId":"IP-173676","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":495593,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Adirondack Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -74.30213842521982,\n              43.02150523436916\n            ],\n            [\n              -73.64481622007393,\n              43.272366351605854\n            ],\n            [\n              -73.341429659739,\n              43.76369796708724\n            ],\n            [\n              -73.3717689158177,\n              44.14953466067368\n            ],\n            [\n              -73.3616572245585,\n              44.67687727105567\n            ],\n            [\n              -73.33131845321908,\n              44.963813472810045\n            ],\n            [\n              -74.60555267072019,\n              44.978118207114136\n            ],\n            [\n              -75.40446190727002,\n              44.446293613776504\n            ],\n            [\n              -75.65727938886747,\n              44.10598183937455\n            ],\n            [\n              -75.45497526366132,\n              43.712545698295315\n            ],\n            [\n              -75.06059501541823,\n              43.19131771703755\n            ],\n            [\n              -74.4538223938432,\n              42.99932244268541\n            ],\n            [\n              -74.30213842521982,\n              43.02150523436916\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"19","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Suarez, Kaitlyn A.","contributorId":361425,"corporation":false,"usgs":false,"family":"Suarez","given":"Kaitlyn","middleInitial":"A.","affiliations":[{"id":37201,"text":"UMass Amherst","active":true,"usgs":false}],"preferred":false,"id":948802,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, Michael L.","contributorId":361426,"corporation":false,"usgs":false,"family":"Williams","given":"Michael","middleInitial":"L.","affiliations":[{"id":37201,"text":"UMass Amherst","active":true,"usgs":false}],"preferred":false,"id":948803,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walsh, Gregory J. 0000-0003-4264-8836","orcid":"https://orcid.org/0000-0003-4264-8836","contributorId":355444,"corporation":false,"usgs":true,"family":"Walsh","given":"Gregory J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":948804,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harlov, Daniel E.","contributorId":361429,"corporation":false,"usgs":false,"family":"Harlov","given":"Daniel","middleInitial":"E.","affiliations":[{"id":86271,"text":"Deutches GeoForschungsZentrum GFZ, Telegrafenberg, 14473 Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":948805,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jercinovic, Michael J.","contributorId":361430,"corporation":false,"usgs":false,"family":"Jercinovic","given":"Michael","middleInitial":"J.","affiliations":[{"id":37201,"text":"UMass Amherst","active":true,"usgs":false}],"preferred":false,"id":948806,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tjapkes, Daniel J.","contributorId":361431,"corporation":false,"usgs":false,"family":"Tjapkes","given":"Daniel","middleInitial":"J.","affiliations":[{"id":37201,"text":"UMass Amherst","active":true,"usgs":false}],"preferred":false,"id":948807,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"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":948808,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70271437,"text":"70271437 - 2025 - The role of alkali bicarbonate-sulfate brines in the genesis of carbonatite REE resources at the Bear Lodge Alkaline Complex, Wyoming","interactions":[],"lastModifiedDate":"2026-02-04T14:05:18.896474","indexId":"70271437","displayToPublicDate":"2025-09-12T10:28:24","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"The role of alkali bicarbonate-sulfate brines in the genesis of carbonatite REE resources at the Bear Lodge Alkaline Complex, Wyoming","docAbstract":"<p>Rare-earth element (REE) resources in the Bear Lodge Alkaline Complex, Wyoming, are hosted in a variably leached carbonatite dike swarm spatially related to bodies of diatreme breccia. This study examines fluid inclusions in carbonatite dikes, peripheral fluorite breccias, and smoky quartz veins to reconstruct the physiochemical conditions of REE mineralization. Results reveal a multi-stage evolution of carbonatitic fluids: 1) high-temperature (330–432°C), CO<sub>2</sub>-rich magmatic fluids, 2) REE-enriched alkali bicarbonate-sulfate brines, and 3) low-temperature meteoric (117–182°C) or diluted magmatic fluids. Multiphase inclusions (stage-2) contain burbankite, nahcolite, and alkali sulfate daughter crystals, linking the brines to early burbankite [(Na,Ca)<sub>3</sub>(Sr,Ba,REE)<sub>3</sub>(CO<sub>3</sub>)<sub>5</sub>] mineralization in carbonatite. REE mobility has been linked to the stability of aqueous complexes with ligands such as Cl-, SO<sub>4</sub><sup>2-</sup>, and HCO<sub>3</sub><sup>-</sup>. However, light REEs were not initially transported significant distances, rather they crystallized as burbankite from brines or brine-melts associated with the carbonatite magma. Crystallization of burbankite removed Na from the system, leaving residual fluids with high K/Na ratios and promoting potassic fenitization throughout the complex. Fractionation of light and heavy REEs and involvement of low temperature (&lt;300°C), high K/Na bicarbonate brines may have facilitated transport and formation of peripheral occurrences that are more enriched in heavy REEs at Bear Lodge.</p>","conferenceTitle":"18th SGA Biennial Meeting","conferenceDate":"August 3-7, 2025","conferenceLocation":"Golden, CO","language":"English","publisher":"Society for Geology Applied to Mineral Deposits","usgsCitation":"Andersen, A.K., Olinger, D., and Bennett, M.M., 2025, The role of alkali bicarbonate-sulfate brines in the genesis of carbonatite REE resources at the Bear Lodge Alkaline Complex, Wyoming, 18th SGA Biennial Meeting, v. 2, Golden, CO, August 3-7, 2025, p. 619-622.","productDescription":"4 p.","startPage":"619","endPage":"622","ipdsId":"IP-175605","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":495474,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.e-sga.org/publications/conference-proceedings","linkFileType":{"id":5,"text":"html"}},{"id":495633,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Bear Lodge Alkaline Complex","volume":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Andersen, Allen K. 0000-0002-6865-2561","orcid":"https://orcid.org/0000-0002-6865-2561","contributorId":217476,"corporation":false,"usgs":true,"family":"Andersen","given":"Allen","email":"","middleInitial":"K.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":948756,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olinger, Danielle A. 0000-0001-8375-5852 dolinger@usgs.gov","orcid":"https://orcid.org/0000-0001-8375-5852","contributorId":201968,"corporation":false,"usgs":true,"family":"Olinger","given":"Danielle A.","email":"dolinger@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":948757,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bennett, Mitchell M. 0000-0001-9533-9557 mbennett@usgs.gov","orcid":"https://orcid.org/0000-0001-9533-9557","contributorId":199379,"corporation":false,"usgs":true,"family":"Bennett","given":"Mitchell","email":"mbennett@usgs.gov","middleInitial":"M.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":948758,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70271744,"text":"70271744 - 2025 - Formation of the Mount Weld rare earth deposit, Western Australia: Geochronology constraints","interactions":[],"lastModifiedDate":"2025-09-23T14:04:12.768692","indexId":"70271744","displayToPublicDate":"2025-09-12T08:55:51","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Formation of the Mount Weld rare earth deposit, Western Australia: Geochronology constraints","docAbstract":"<p>Constraining the age of protracted chemical weathering in stable cratonic areas that may form thick regoliths and the potential enrichment of various elements is challenging. Economic deposits of aluminium, iron, copper, nickel, cobalt, niobium, and rare earth elements (REEs) form in this manner. Determining the age of formation can provide key information for exploration of similar deposits as well as to better constrain&nbsp; paleoclimatic conditions. This study describes our effort to constrain the age of formation of the Mount Weld deposit, a world-class carbonatite-derived REE laterite deposit. We utilize multiple geochronological techniques on different minerals. The oldest dates, ranging from ca. 100 to 50 Ma, were from laser ablation ICPMS, Lu-Hf dating of churchite, a heavy REE phosphate mineral formed by mineral saturation in groundwater. Growth bands on individual minerals show a younging outwards. <sup>40</sup>Ar/<sup>39</sup>Ar geochronology of cryptomelane, a potassium-bearing manganese oxide mineral, yielded ages ranging from ca. 40 to 26 Ma. Similarly, (U–Th)/He geochronology of goethite yielded ages from ca. 45 to 19 Ma. </p>","conferenceTitle":"18th SGA Biennial Meeting","conferenceDate":"August 3-7, 2025","conferenceLocation":"Golden, CO","language":"English","publisher":"Society for Geology Applied to Mineral Deposits","usgsCitation":"Verplanck, P., Mercer, C.M., Thompson, J.M., Danišík, M., Bhat, G., and Lowers, H.A., 2025, Formation of the Mount Weld rare earth deposit, Western Australia: Geochronology constraints, 18th SGA Biennial Meeting, v. 2, Golden, CO, August 3-7, 2025, p. 695-699.","productDescription":"5 p.","startPage":"695","endPage":"699","ipdsId":"IP-175872","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":495895,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":495892,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.e-sga.org/publications/conference-proceedings"}],"country":"Australia","otherGeospatial":"Mount Weld deposit","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              122.50129211245445,\n              -28.838271184659284\n            ],\n            [\n              122.50129211245445,\n              -28.899390507112095\n            ],\n            [\n              122.59126576645451,\n              -28.899390507112095\n            ],\n            [\n              122.59126576645451,\n              -28.838271184659284\n            ],\n            [\n              122.50129211245445,\n              -28.838271184659284\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Verplanck, Philip L. 0000-0002-3653-6419","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":212813,"corporation":false,"usgs":true,"family":"Verplanck","given":"Philip","middleInitial":"L.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":949269,"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":949270,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":949271,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Danišík, Martin 0000-0003-3909-6102","orcid":"https://orcid.org/0000-0003-3909-6102","contributorId":361709,"corporation":false,"usgs":false,"family":"Danišík","given":"Martin","affiliations":[{"id":86336,"text":"Curtin University, Perth, Australia","active":true,"usgs":false}],"preferred":false,"id":949272,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bhat, Ganesh","contributorId":329666,"corporation":false,"usgs":false,"family":"Bhat","given":"Ganesh","email":"","affiliations":[{"id":78683,"text":"Lynas Rare Earths Ltd","active":true,"usgs":false}],"preferred":false,"id":949273,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lowers, Heather A. 0000-0001-5360-9264 hlowers@usgs.gov","orcid":"https://orcid.org/0000-0001-5360-9264","contributorId":191307,"corporation":false,"usgs":true,"family":"Lowers","given":"Heather","email":"hlowers@usgs.gov","middleInitial":"A.","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":949274,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70271463,"text":"70271463 - 2025 - Speleothem evidence for Late Miocene extreme Arctic amplification – An analogue for near-future anthropogenic climate change?","interactions":[],"lastModifiedDate":"2025-09-17T14:00:53.292778","indexId":"70271463","displayToPublicDate":"2025-09-08T07:56:41","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1250,"text":"Climate of the Past","active":true,"publicationSubtype":{"id":10}},"title":"Speleothem evidence for Late Miocene extreme Arctic amplification – An analogue for near-future anthropogenic climate change?","docAbstract":"<p><span>The Miocene provides an excellent climatic analogue for near-future runaway anthropogenic warming, with atmospheric&nbsp;</span><span class=\"inline-formula\">CO<sub>2</sub></span><span>&nbsp;concentrations and global average temperatures similar to those projected for the coming century under extreme-emissions scenarios. However, the magnitude of Miocene Arctic warming remains unclear due to the scarcity of reliable proxy data. Here we use stable oxygen isotope and trace element analyses, alongside clumped isotope and fluid inclusion palaeothermometry of speleothems to reconstruct palaeo-environmental conditions near the Siberian Arctic coast during the Tortonian (8.68 </span><span class=\"inline-formula\">±</span><span> 0.09 </span><span class=\"inline-formula\">Ma</span><span>). Stable oxygen isotope records suggest warmer-than-present temperatures. This is supported by temperature estimates based on clumped isotopes and fluid inclusions giving mean annual air temperatures between&nbsp;</span><span class=\"inline-formula\">+</span><span>6.6 and&nbsp;</span><span class=\"inline-formula\">+</span><span>11.1 </span><span class=\"inline-formula\">°C</span><span>, compared with&nbsp;</span><span class=\"inline-formula\">−</span><span>12.3 </span><span class=\"inline-formula\">°C</span><span>&nbsp;today. Trace elements records reveal a highly seasonal hydrological environment.</span></p><p><span>Our estimate of&nbsp;<span class=\"inline-formula\">&gt;</span> 18 <span class=\"inline-formula\">°C</span>&nbsp;of Arctic warming supports the wider consensus of a warmer-than-present Miocene and provides a rare palaeo-analogue for future Arctic amplification under high-emissions scenarios. The reconstructed increase in mean surface temperature far exceeds temperatures projected in fully coupled global climate models, even under extreme-emissions scenarios. Given that climate models have consistently underestimated the extent of recent Arctic<span id=\"page1534\"></span>&nbsp;amplification, our proxy data suggest Arctic warming may exceed current projections.</span></p><p><span><br data-mce-bogus=\"1\"></span></p>","language":"English","publisher":"Copernicus Publications","doi":"10.5194/cp-21-1533-2025","usgsCitation":"Umbo, S., Lechleitner, F., Opel, T., Modestou, S., Braun, T., Vaks, A., Henderson, G., Scott, P., Osintzev, A., Kononov, A., Adrian, I., Dublyansky, Y., Giesche, A., and Breitenbach, S.F., 2025, Speleothem evidence for Late Miocene extreme Arctic amplification – An analogue for near-future anthropogenic climate change?: Climate of the Past, v. 21, no. 9, p. 1533-1551, https://doi.org/10.5194/cp-21-1533-2025.","productDescription":"19 p.","startPage":"1533","endPage":"1551","ipdsId":"IP-164899","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":495737,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/cp-21-1533-2025","text":"Publisher Index Page"},{"id":495601,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Russia","otherGeospatial":"Lena River delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              125.91081175568468,\n              72.51181973928763\n            ],\n            [\n              125.91081175568468,\n              72.11208547961411\n            ],\n            [\n              127.37686772300327,\n              72.11208547961411\n            ],\n            [\n              127.37686772300327,\n              72.51181973928763\n            ],\n            [\n              125.91081175568468,\n              72.51181973928763\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"21","issue":"9","noUsgsAuthors":false,"publicationDate":"2025-09-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Umbo, Stuart","contributorId":361445,"corporation":false,"usgs":false,"family":"Umbo","given":"Stuart","affiliations":[{"id":86276,"text":"Department of Geography and Environmental Sciences, Northumbria University, Newcastle-upon-Tyne, NE1 8ST, United Kingdom","active":true,"usgs":false}],"preferred":false,"id":948832,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lechleitner, Franziska","contributorId":361446,"corporation":false,"usgs":false,"family":"Lechleitner","given":"Franziska","affiliations":[{"id":85479,"text":"Department of Chemistry, Biochemistry and Pharmaceutical Sciences & Oeschger Centre for Climate Change Research, Bern, 2012, Switzerland","active":true,"usgs":false}],"preferred":false,"id":948833,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Opel, Thomas","contributorId":361447,"corporation":false,"usgs":false,"family":"Opel","given":"Thomas","affiliations":[{"id":86277,"text":"Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Telegrafenberg A45, Potsdam, 14473, Germany","active":true,"usgs":false}],"preferred":false,"id":948834,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Modestou, Sevasti","contributorId":361448,"corporation":false,"usgs":false,"family":"Modestou","given":"Sevasti","affiliations":[{"id":86276,"text":"Department of Geography and Environmental Sciences, Northumbria University, Newcastle-upon-Tyne, NE1 8ST, United Kingdom","active":true,"usgs":false}],"preferred":false,"id":948835,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Braun, Tobias","contributorId":361449,"corporation":false,"usgs":false,"family":"Braun","given":"Tobias","affiliations":[{"id":86278,"text":"Potsdam Institute for Climate Impact Research (PIK), 14412, Potsdam, Germany; Institute for Earth System Science and Remote Sensing, Leipzig University, Leipzig, Germany","active":true,"usgs":false}],"preferred":false,"id":948836,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vaks, Anton","contributorId":361450,"corporation":false,"usgs":false,"family":"Vaks","given":"Anton","affiliations":[{"id":85474,"text":"Geochemistry and Environmental Geology Division, Geological Survey of Israel, Jerusalem, 9692100, Israel","active":true,"usgs":false}],"preferred":false,"id":948837,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Henderson, Gideon","contributorId":361451,"corporation":false,"usgs":false,"family":"Henderson","given":"Gideon","affiliations":[{"id":85476,"text":"Department of Earth Sciences, Oxford University, Oxford, OX1 3AN United Kingdom","active":true,"usgs":false}],"preferred":false,"id":948838,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Scott, Pete","contributorId":361452,"corporation":false,"usgs":false,"family":"Scott","given":"Pete","affiliations":[{"id":86279,"text":"Oceans Institute, University of Western Australia, Perth, 6009, Australia","active":true,"usgs":false}],"preferred":false,"id":948839,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Osintzev, Alexander","contributorId":361453,"corporation":false,"usgs":false,"family":"Osintzev","given":"Alexander","affiliations":[{"id":86281,"text":"Speleoclub Arabika, Irkutsk, 664058, Russian Federation","active":true,"usgs":false}],"preferred":false,"id":948840,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kononov, Alexander","contributorId":361454,"corporation":false,"usgs":false,"family":"Kononov","given":"Alexander","affiliations":[{"id":86283,"text":"Irkutsk Nation al Research Technical University, Irkutsk, 664074, Russia; Lena Delta Wildlife Reserve, Tiksi, Sakha Republic, 678400 Russia","active":true,"usgs":false}],"preferred":false,"id":948841,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Adrian, Irina","contributorId":361455,"corporation":false,"usgs":false,"family":"Adrian","given":"Irina","affiliations":[{"id":85477,"text":"Lena Delta Wildlife Reserve, Tiksi, Sakha Republic, 678400 Russia","active":true,"usgs":false}],"preferred":false,"id":948842,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Dublyansky, Yuri","contributorId":361456,"corporation":false,"usgs":false,"family":"Dublyansky","given":"Yuri","affiliations":[{"id":86284,"text":"Institute of Geology, University of Innsbruck, Innrain 52, 6020, Innsbruck, Austria","active":true,"usgs":false}],"preferred":false,"id":948843,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Giesche, Alena Maria 0000-0003-3673-7269","orcid":"https://orcid.org/0000-0003-3673-7269","contributorId":344659,"corporation":false,"usgs":true,"family":"Giesche","given":"Alena Maria","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":948844,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Breitenbach, Sebastian F.M.","contributorId":361457,"corporation":false,"usgs":false,"family":"Breitenbach","given":"Sebastian","middleInitial":"F.M.","affiliations":[{"id":86276,"text":"Department of Geography and Environmental Sciences, Northumbria University, Newcastle-upon-Tyne, NE1 8ST, United Kingdom","active":true,"usgs":false}],"preferred":false,"id":948845,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70272035,"text":"70272035 - 2025 - Placing environmental DNA monitoring for new detections into perspective: Fishes in the Milwaukee River, Wisconsin","interactions":[],"lastModifiedDate":"2025-11-13T16:22:50.550546","indexId":"70272035","displayToPublicDate":"2025-09-04T09:12:47","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":"Placing environmental DNA monitoring for new detections into perspective: Fishes in the Milwaukee River, Wisconsin","docAbstract":"<p>Invasive species management frameworks, such as the early detection of and rapid response to invasive species, use monitoring programs to detect new species occurrences. Resource managers use environmental DNA (eDNA) as one tool for these monitoring programs. An eDNA detection in a new location may lack perspective for resource managers and researchers because of the rarity of potential invaders and the randomness in their dispersal and detection. An example monitoring program is the eDNA-based sampling approach used by the U.S. Fish and Wildlife Service for bigheaded carps <i>Hypophthalmichthys</i> spp. in the upper Mississippi River and Great Lakes Basins that collects hundreds of water samples per event. The U.S. Fish and Wildlife Service detected a single positive sample for Bighead Carp <i>Hypophthalmichthys nobilis</i> during the spring 2021 sampling event in the Kinnickinnic River within the Milwaukee River Basin, and detected a second single positive sample for bigheaded carps during the fall 2021 sampling event in the Milwaukee River. The U.S. Fish and Wildlife Service did not detect any bigheaded carps in previous years (2015 to 2020) or in either the spring or fall 2022 sampling events. These detections lacked perspective, such as detection numbers for other species. We reanalyzed the 2021 and 2022 samples for four existing species of fish: two fairly common species (Common Carp <i>Cyprinus carpio</i> and Gizzard Shad <i>Dorosoma cepedianum</i>) and two fairly rare species (Burbot <i>Lota lota</i> and Grass Carp <i>Ctenopharyngodon idella</i>). We detected Common Carp during all four sampling events, Gizzard Shad during three of four sampling events, and Burbot and Grass Carp during two of four sampling events. These results demonstrated that current sampling efforts could detect other species, and bigheaded carp eDNA was not common in the Milwaukee River compared to these species. More specifically, this finding indicates bigheaded carp eDNA detections are as rare as, or rarer than, Grass Carp eDNA detections, a recent invader to the basin. Our findings also demonstrated how reanalyzing eDNA samples after positive detections for targeted species can help managers understand the context of the detections and provide perspective for the relative abundance of the targeted species. Additionally, our results highlight the importance of completing long-term eDNA-based monitoring rather than a single sampling or inventory event. These detections may have been missed in a single year or sampling event, whereas a multiyear monitoring program provides an opportunity to observe trends through time.</p>","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.70102","usgsCitation":"Erickson, R.A., DeHaan, P.W., Frohnauer, N.K., Hayer, C., Oettinger, K., Tajjioui, T., Von Ruden, K.M., Willner, H., and Spear, S.F., 2025, Placing environmental DNA monitoring for new detections into perspective: Fishes in the Milwaukee River, Wisconsin: Journal of Wildlife Management, v. 89, e70102, 14 p., https://doi.org/10.1002/jwmg.70102.","productDescription":"e70102, 14 p.","ipdsId":"IP-169285","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":496403,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Milwaukee River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88.85610165027764,\n              43.71442287244696\n            ],\n            [\n              -88.85610165027764,\n              42.70910667171606\n            ],\n            [\n              -87.8504051385311,\n              42.70910667171606\n            ],\n            [\n              -87.8504051385311,\n              43.71442287244696\n            ],\n            [\n              -88.85610165027764,\n              43.71442287244696\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"89","noUsgsAuthors":false,"publicationDate":"2025-09-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":949790,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeHaan, Patrick W.","contributorId":361996,"corporation":false,"usgs":false,"family":"DeHaan","given":"Patrick","middleInitial":"W.","affiliations":[{"id":84143,"text":"U.S. Fish and Wildlife Service, Whitney Genetics Laboratory","active":true,"usgs":false}],"preferred":false,"id":949791,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frohnauer, Nicholas K.","contributorId":361997,"corporation":false,"usgs":false,"family":"Frohnauer","given":"Nicholas","middleInitial":"K.","affiliations":[{"id":84141,"text":"U.S. Fish and Wildlife Service, Midwest Regional Office","active":true,"usgs":false}],"preferred":false,"id":949792,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hayer, Cari-Ann chayer@usgs.gov","contributorId":177628,"corporation":false,"usgs":false,"family":"Hayer","given":"Cari-Ann","email":"chayer@usgs.gov","affiliations":[],"preferred":false,"id":949793,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Oettinger, Keta L.","contributorId":352251,"corporation":false,"usgs":false,"family":"Oettinger","given":"Keta L.","affiliations":[{"id":84142,"text":"Former contractor, Upper Midwest Environmental Sciences Center","active":true,"usgs":false}],"preferred":false,"id":949794,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tajjioui, Tariq 0000-0002-0113-0451","orcid":"https://orcid.org/0000-0002-0113-0451","contributorId":215091,"corporation":false,"usgs":true,"family":"Tajjioui","given":"Tariq","email":"","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences 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0000-0001-8351-9382","orcid":"https://orcid.org/0000-0001-8351-9382","contributorId":293162,"corporation":false,"usgs":true,"family":"Spear","given":"Stephen","email":"","middleInitial":"Frank","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":949798,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70272187,"text":"70272187 - 2025 - Melt generation sources and conditions in the wake of a migrating slab window: Geochemistry and petrology of the million-year history of primitive volcanism at Clear Lake volcanic field, California","interactions":[],"lastModifiedDate":"2025-11-18T15:07:29.134486","indexId":"70272187","displayToPublicDate":"2025-09-01T07:59:45","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2420,"text":"Journal of Petrology","active":true,"publicationSubtype":{"id":10}},"title":"Melt generation sources and conditions in the wake of a migrating slab window: Geochemistry and petrology of the million-year history of primitive volcanism at Clear Lake volcanic field, California","docAbstract":"<p><span>Clear Lake volcanic field (CLVF) is the northernmost and youngest (~2.2&nbsp;Ma to 8&nbsp;ka) of the volcanic centers distributed along the San Andreas transform fault in western California. The initial phase of CLVF volcanism (interval one) occurred between ~2.2 and 1.3&nbsp;Ma and extends ~35&nbsp;km southeast of Clear Lake, forming a semi-continuous upland plateau capped by lava flows, with isolated volcanic remnants on the periphery. This volcanism is broadly characterized by geochemically primitive compositions that reflect three source compositions and conditions of melt generation. (1) Partial melting of upwelling asthenospheric mantle lherzolite at moderate pressures (1.2–1.4&nbsp;GPa) and temperatures (1297–1329&nbsp;°C) produced high-CaO (9.8–11.3&nbsp;wt %) basalts with high Al</span><sub>2</sub><span>O</span><sub>3</sub><span>&nbsp;(16.8–17.6&nbsp;wt %), Mg#s (66–70), MgO (8–10&nbsp;wt %), Ni (103–262&nbsp;μg/g), and Cr (284–609&nbsp;μg/g). These high-CaO basalts contain olivine (Fo</span><sub>87–91</sub><span>) phenocrysts with Cr-spinel inclusions ± subordinate plagioclase and crop out only in the southern part of the CLVF. (2) Partial melting of depleted sub-continental lithospheric mantle harzburgite at variable pressures (0.7–1.5&nbsp;GPa) and temperatures (1097–1299&nbsp;°C) produced a compositional continuum of med-K</span><sub>2</sub><span>O, calc-alkaline, high-MgO basalts through high-MgO andesites with high Mg#s (67–77), MgO (8–14&nbsp;wt %) and high Ni and Cr abundances (154–439 and 340–1124&nbsp;μg/g, respectively). Mineral assemblages are olivine (Fo</span><sub>88–93</sub><span>) with Cr-spinel inclusions ± subordinate clinopyroxene, orthopyroxene and plagioclase. Small (&lt;2.5&nbsp;cm) mantle harzburgite xenoliths and mantle olivine xenocrysts are also found in several of these samples. These high-MgO basalts through andesites represent the largest volume of primitive compositions and have erupted predominantly along the main, fault-controlled northwest-southeast trending axis of volcanism with peripheral outcrops to the north, west, and east. (3) Partial melting of the Gorda eclogite slab edge produced adakitic silicic slab melts with strong depletion in the heavy rare earth elements (Yb = 0.6&nbsp;μg/g). Subsequent reaction of those melts with depleted ultramafic rocks during ascent imprinted the adakitic dacites with high Mg#s (65–78) and elevated Ni (117–210&nbsp;μg/g) and Cr (191–283&nbsp;μg/g). Phenocrysts of orthopyroxene (En</span><sub>87–94</sub><span>) with spinel inclusions (Cr# = 80–88) and extremely Ni-rich (9483&nbsp;μg/g) olivine cores (Fo</span><sub>84–93</sub><span>) record those reactions. Small-volume outcrops of the adakites on the eastern periphery of the CLVF track the passing slab edge. The trio of melting sources recorded by early CLVF magmatism reflect the tectonically complex environment and the hot (1097–1329&nbsp;°C), shallow (0.7–1.5&nbsp;GPa) melting conditions for these primitive compositions and provide estimates of the heat delivered to the crust. Over time, this flux led to maturation of the CLVF magmatic system toward the more voluminous and silicic volcanism that characterizes the balance of its subsequent volcanic history and maintains the present-day anomalously high heat flow in the region. The current interval (interval four) of volcanic activity at CLVF is characterized by low-volume, fault-controlled eruptions of basaltic andesite and andesite suggestive of mantle magma and heat delivery to the crust, similar to interval one. This analogous activity provides motivation for the current study and begs the question of whether the system is undergoing thermal priming for renewed silicic volcanism.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/petrology/egaf077","usgsCitation":"Blatter, D.L., and Burgess, S.D., 2025, Melt generation sources and conditions in the wake of a migrating slab window: Geochemistry and petrology of the million-year history of primitive volcanism at Clear Lake volcanic field, California: Journal of Petrology, v. 66, no. 9, egaf077, 43 p., https://doi.org/10.1093/petrology/egaf077.","productDescription":"egaf077, 43 p.","ipdsId":"IP-173749","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":496579,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Clear Lake volcanic field","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.9635380144356,\n              39.14844575495471\n            ],\n            [\n              -122.9635380144356,\n              38.917438489493804\n            ],\n            [\n              -122.5731123436415,\n              38.917438489493804\n            ],\n            [\n              -122.5731123436415,\n              39.14844575495471\n            ],\n            [\n              -122.9635380144356,\n              39.14844575495471\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"66","issue":"9","noUsgsAuthors":false,"publicationDate":"2025-09-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Blatter, Dawnika L. 0000-0002-7161-6844 dblatter@usgs.gov","orcid":"https://orcid.org/0000-0002-7161-6844","contributorId":4899,"corporation":false,"usgs":true,"family":"Blatter","given":"Dawnika","email":"dblatter@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":950370,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burgess, Seth D. 0000-0002-2128-9144","orcid":"https://orcid.org/0000-0002-2128-9144","contributorId":362359,"corporation":false,"usgs":true,"family":"Burgess","given":"Seth","middleInitial":"D.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":950371,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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