The decline of pelagophil minnows is related to river fragmentation across the southern Great Plains landscape. Because we know little about pelagophil movement patterns and timing, we aimed to quantify the movements of the vulnerable Arkansas River shiner (ARS) during the winter (November–March) and prespawning (April–June) seasons. We tagged 4233 ARS using visible implant elastomer, passive integrated transponder, or p-Chip micro-transponder tags in 2018–2020. We sampled to recapture tagged fish weekly during the winter and biweekly during the spring. Tagged fish exhibited a downstream movement bias and movement was weakly related to increasing temperature, discharge, and photoperiod during winter, however most of the variability was explained by a random individual effect. Larger individuals moved greater distances than smaller fish. Upstream movements by a migratory portion of the population appeared to begin around late February based on the presence of fish at previously unoccupied sites. However, the first long-distance (30-km) upstream movement by a tagged fish was documented in late May. We show evidence that some ARS may be resident fish at sites throughout winter and spring of multiple years. To conserve freshwater pelagophil minnows, our results indicate water management strategies improving river connectivity in late winter through the spawning season may benefit spawning by migratory individuals, whereas lateral connectivity might benefit the resident portion of the population. Research efforts under experimental flows could provide insight to improved recovery options.
","language":"English","publisher":"Nature","doi":"10.1038/s41598-025-89500-4","usgsCitation":"Moore, D.M., and Brewer, S., 2025, Overwinter and prespawning movements by a vulnerable freshwater pelagophilic minnow: Scientific Reports, v. 15, 10576, 15 p., https://doi.org/10.1038/s41598-025-89500-4.","productDescription":"10576, 15 p.","ipdsId":"IP-163233","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":488498,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-025-89500-4","text":"Publisher Index Page"},{"id":484912,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","otherGeospatial":"Canadian River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -99.95,\n 36.145\n ],\n [\n -99.95,\n 35\n ],\n [\n -96.79,\n 35\n ],\n [\n -96.79,\n 36.145\n ],\n [\n -99.95,\n 36.145\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","noUsgsAuthors":false,"publicationDate":"2025-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Moore, Desiree M.","contributorId":287527,"corporation":false,"usgs":false,"family":"Moore","given":"Desiree","email":"","middleInitial":"M.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":934224,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brewer, Shannon K. 0000-0002-1537-3921","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":340552,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":934225,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70265077,"text":"70265077 - 2025 - Limited directional change in mountaintop plant communities over 19 years in western North America","interactions":[],"lastModifiedDate":"2025-04-01T15:21:50.068321","indexId":"70265077","displayToPublicDate":"2025-03-27T08:15:35","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Limited directional change in mountaintop plant communities over 19 years in western North America","docAbstract":"Plant communities on mountain summits are commonly long-lived, cold-adapted perennials with low dispersal ability. These characteristics in tandem with limited area to track suitable conditions make these mountain communities potentially highly vulnerable to climate change, and indicators of climate change impacts. We investigated temporal changes in plant communities on 29 arid mountain summits across eight study regions in California and Nevada, USA, over 19 years. We analyzed community dynamics in terms of species richness, turnover, gain and loss of functional groups, and relative abundance of functional groups. First, across all summits and regions, we found no change in species richness over time. Second, there was relatively high species turnover (21.7%) between the five-year survey intervals, but turnover was not significantly different from random expectation. Within functional groups, forbs had the greatest proportion of gains and cushions had the greatest proportion of losses. Third, qualitative abundance categories presented a small but consistent signal of decrease in the relative abundance of cushions, graminoids, and shrubs/trees over the study period. Across a broad geographic scale and nearly two decades, community patterns were widely similar, suggesting that climate change has not impacted local colonization or extirpation of mountaintop species in this arid region. These findings support observed differences in response to climate change between temperature-limited and water-limited regions globally, and highlight the lagged and variable nature of high-elevation systems. Our findings fill a major data gap on alpine plant community responses to climate change in the western United States and bolster the importance of long-term ecological monitoring with rapid climate change.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70197","usgsCitation":"Goff, K., Oldfather, M.F., Nachlinger, J., Smithers, B., Koontz, M., Bishop, C., Bishop, J., Burke, M., and Sheth, S., 2025, Limited directional change in mountaintop plant communities over 19 years in western North America: Ecosphere, v. 16, no. 3, e70197, 12 p., https://doi.org/10.1002/ecs2.70197.","productDescription":"e70197, 12 p.","ipdsId":"IP-167489","costCenters":[{"id":40927,"text":"North Central Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":488671,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70197","text":"Publisher Index Page"},{"id":484069,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, 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,{"id":70264757,"text":"fs20253002 - 2025 - Critical Minerals in Ores (CMiO) database","interactions":[],"lastModifiedDate":"2026-01-23T21:37:38.090764","indexId":"fs20253002","displayToPublicDate":"2025-03-26T16:15:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-3002","displayTitle":"Critical Minerals in Ores (CMiO) Database","title":"Critical Minerals in Ores (CMiO) database","docAbstract":"Critical minerals are commodities essential to modern industrial and strategic technologies and are highly vulnerable to supply chain disruption. The Critical Minerals Mapping Initiative (CMMI) is a collaboration among the U.S. Geological Survey (USGS), the Geological Survey of Canada, and Geoscience Australia that aims to deepen global understanding of where critical minerals are located. A key output of this initiative is the Critical Minerals in Ores (CMiO) database that is advancing our collective understanding of critical minerals distributions. For instance, publicly available data on the concentrations of many critical minerals are sparse because these commodities can only be produced in small, yet essential, quantities compared to the primary commodities like copper and zinc. The CMiO database helps bridge this gap by offering high-quality, multielement geochemical data from a wide variety of critical mineral-bearing deposits around the world. Importantly, it uses a novel consensus deposit environment, group, and type classification scheme developed by the agencies that allows comparisons among ore deposits from different regions. The CMiO database contains geochemical data for more than 20,000 samples from more than 100 deposit types comprising 10 deposit environments.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20253002","collaboration":"Prepared in collaboration with the Geological Survey of Canada and Geoscience Australia","programNote":"Mineral Resources Program","usgsCitation":"Case, G.N.D., Graham, G.E., Lawley, C.J.M., Bastrakov, E., Huston, D.L., Hofstra, A.H., Lisitsin, V., Hawkins, S.G., and Wang, B., 2025, Critical Minerals in Ores (CMiO) database (ver. 1.2, May 2025): U.S. Geological Survey Fact Sheet 2025–3002, 2 p., https://doi.org/10.3133/fs20253002.","productDescription":"Report: 2 p.; Dataset","onlineOnly":"N","ipdsId":"IP-172113","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":493736,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118563.htm","text":"Version 1.1","linkFileType":{"id":5,"text":"html"}},{"id":485219,"rank":7,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/fs/2025/3002/versionHist.txt","size":"4.0 KB","linkFileType":{"id":2,"text":"txt"},"description":"FS 2025-3002 version history"},{"id":483999,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20253002/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2025-3002"},{"id":483900,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2025/3002/fs20253002.xml"},{"id":483899,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2025/3002/images"},{"id":483682,"rank":3,"type":{"id":28,"text":"Dataset"},"url":"https://pid.geoscience.gov.au/dataset/ga/145496","text":"Critical Minerals in Ores - geochemistry database"},{"id":483671,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2025/3002/fs20253002.pdf","text":"Report","size":"5.07 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2025-3002"},{"id":483670,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2025/3002/coverthb3.jpg"},{"id":498997,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118502.htm","text":"Version 1.0","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0: March 26, 2025; Version 1.1: April 30, 2025; Version 1.2: May 22, 2025","contact":"Program Coordinator, Mineral Resources Program
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913 National Center
Reston, VA 20192
A previous study evaluating restoration success of Paddlefish Polyodon spathula suggested that excessive turbidity in lakes and rivers may inhibit foraging by juveniles prior to the development of the rostrum. Although a Paddlefish's rostrum, which contains electroreceptors, helps the fish to locate zooplankton prey, the prerostrum stage lacks many of these electroreceptors, potentially affecting foraging in highly turbid waters. To evaluate this hypothesis, we conducted a series of laboratory experiments in small aquaria by varying the level of turbidity measured as Secchi tube depth: >95 (clear tap water), 40, 20, 10, or 5 cm.
For each foraging trial, approximately 300 zooplankton were added to the aquaria, followed by three postlarval Paddlefish, which were allowed to feed on the zooplankton for approximately 18 h. After the 18-h period, Paddlefish were removed and dissected and the zooplankton in the gut were counted to quantify foraging success.
From three experimental trials, we observed statistically significant nonlinear relationships for two trials, which included the largest fish tested. The smallest Paddlefish size-class showed no significant trend in foraging among turbidity treatments. However, the subsequent trials, which contained larger Paddlefish, both showed unimodal responses, with the highest foraging observed at moderate (30–50-cm Secchi tube depth) turbidity levels.
High turbidity and excessively clear water both appear to affect foraging by juvenile Paddlefish before the rostrum is fully developed, depending on fish size. Understanding this relationship can further influence management and restoration projects directed at this species.
Continental hydrothermal systems are critical avenues for the crustal transport of heat and mass captured for geothermal energy and mineral exploration. Thus, understanding their temporal evolution and longevity is important for resource characterization. Deposits of microlaminated siliceous sinter, common surface expressions of high temperature reservoirs (> 170 °C), have the potential to trace hydrothermal histories. Geothermal reservoirs are often located within uranium-bearing silicic volcanic rock where subsurface fluid-rock interactions extract U into hydrothermal fluids. U incorporated in the surface sinter deposit has the potential to provide a U—Th disequilibrium dating option. We focus on samples from El Tatio geyser field in the Altiplano of northern Chile, the largest geothermal system in the Andes. Our resulting 230Th/U ages, along with the water and deposit elemental compositions, suggest concentrations of U and Th vary predictably along the sinter apron. While distal facies containing the highest U concentrations (> 50 μg/g) are least affected by detrital Th corrections, they can display suspected open-system behavior. In contrast, more medial facies, where bacterial mats and other porous textures are commonly concentrated, have only trace amounts of U (< 0.1 μg/g), which leads to unreliable or geologically improbable dates. Proximal facies tend to date most consistently. By comparing existing 14C ages with 230Th/U results, 230Th/U ages tend to be younger than the 14C ages, supporting the presence of a 14C-dead carbon influence. New data confirm that the onset of geothermal activity at El Tatio goes back to the late Pleistocene.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2025.108324","usgsCitation":"Sankovitch, L., Munoz-Saez, C., Hudson, A.M., Godfrey, L.V., and Thompson, J.M., 2025, Applying U-Th disequilbrium for dating siliceous sinters: Journal of Volcanology and Geothermal Research, v. 462, 108324, 16 p., https://doi.org/10.1016/j.jvolgeores.2025.108324.","productDescription":"108324, 16 p.","ipdsId":"IP-170814","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":490997,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jvolgeores.2025.108324","text":"Publisher Index Page"},{"id":483983,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","otherGeospatial":"Altiplano, El Tatio geyser field","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -68.031,\n -22.32\n ],\n [\n -68.031,\n -22.355\n ],\n [\n -67.99,\n -22.355\n ],\n [\n -67.99,\n -22.32\n ],\n [\n -68.031,\n -22.32\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"462","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sankovitch, Lauren","contributorId":352884,"corporation":false,"usgs":false,"family":"Sankovitch","given":"Lauren","affiliations":[{"id":24706,"text":"University of Nevada-Reno","active":true,"usgs":false}],"preferred":false,"id":932310,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Munoz-Saez, Carolina","contributorId":261680,"corporation":false,"usgs":false,"family":"Munoz-Saez","given":"Carolina","affiliations":[{"id":28041,"text":"Lamont-Doherty Earth Observatory, Columbia University","active":true,"usgs":false}],"preferred":false,"id":932311,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hudson, Adam M. 0000-0002-3387-9838 ahudson@usgs.gov","orcid":"https://orcid.org/0000-0002-3387-9838","contributorId":195419,"corporation":false,"usgs":true,"family":"Hudson","given":"Adam","email":"ahudson@usgs.gov","middleInitial":"M.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":932312,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Godfrey, Linda V.","contributorId":211554,"corporation":false,"usgs":false,"family":"Godfrey","given":"Linda","email":"","middleInitial":"V.","affiliations":[{"id":38266,"text":"Dept Earth and Planetary Sciences, Rutgers University","active":true,"usgs":false}],"preferred":false,"id":932313,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":932314,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70271425,"text":"70271425 - 2025 - Wangyanite, PdNi8S8, a new Pd end-member mineral of the pentlandite group from the J-M reef, Stillwater Complex, Montana, USA","interactions":[],"lastModifiedDate":"2025-11-21T22:07:23.220798","indexId":"70271425","displayToPublicDate":"2025-03-26T08:23:05","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":738,"text":"American Mineralogist","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Wangyanite, PdNi8S8, a new Pd end-member mineral of the pentlandite group from the J-M reef, Stillwater Complex, Montana, USA","title":"Wangyanite, PdNi8S8, a new Pd end-member mineral of the pentlandite group from the J-M reef, Stillwater Complex, Montana, USA","docAbstract":"Wangyanite (IMA2024-008a), ideally PdNi8S8, is a Pd end-member mineral of the pentlandite group that was discovered in the J-M reef of the Stillwater Complex, Montana, USA. Wangyanite occurs as anhedral-subhedral granular crystals 200–400 µm in size, associated with isoferroplatinum, braggite, pentlandite, and chalcopyrite interstitial to plagioclase grains within anorthosite. Wangyanite exhibits a yellowish brown color with a black streak and a metallic luster. It is brittle with uneven fractures, and has a calculated density of 5.14 g/cm3. The mineral does not show discernible pleochroism, bireflectance, or anisotropy. It has an average composition of 9.95 wt.% Pd, 31.95 wt.% Ni, 25.02 wt.% Fe, 0.57 wt.% Co, 31.74 wt.% S, totaling 99.23 wt.%. The empirical formula, based on eight sulfur atoms per formula unit, is (Pd0.76Co0.08)Σ0.84(Ni4.39Fe3.60)Σ7.99S8. Wangyanite has a cubic cell with a space group of Fm-3m (#225), having lattice parameters of a = 10.1167(12) Å, V = 1035.4(4) Å3, and Z = 4. Its crystal structure has been solved by single-crystal three-dimensional electron diffraction study. The strongest X-ray diffraction lines of wangyanite are claculated at [d in Å (I%)(hkl)]: 5.841(14.03)(111), 3.050(100)(311), 1.947(29.16)(115,333), 1.264(11.66)(800), 3.577(8.79)(220), 2.920(20.82)(222), and 2.321(9.34)(331). Wangyanite shares the same crystal structure as pentlandite, but the octahedrally coordinated site is mainly occupied by Pd in wangyanite. Based on the textural features and previous experimental Pd-Fe-Ni-S phase system, wangyanite could form by peritectic reaction between braggite, pentlandite and sulfide liquid. These mineral associations are stable in a Ni-Pd-rich sulfide melt system at about 550 °C or even lower temperature. Therefore, wangyanite can potentially serve as an indicator of the presence of Pd-rich residual melts. The mineral is named in honor of Prof. Christina Yan Wang, a well-known researcher on platinum-group element (PGE) occurrences and enrichment mechanisms in mafic-ultramafic intrusions, notably those deposits related to the Emeishan large igneous province in China.
","language":"English","publisher":"Mineralogical Society of America","doi":"10.2138/am-2024-9640","usgsCitation":"Chen, C., Xian, H., Jenkins, C., Yao, Z., Yang, Y., Lin, X., Li, S., Xi, J., Yuan, Y., Zhu, J., and He, H., 2025, Wangyanite, PdNi8S8, a new Pd end-member mineral of the pentlandite group from the J-M reef, Stillwater Complex, Montana, USA: American Mineralogist, v. 110, no. 11, p. 1844-1853, https://doi.org/10.2138/am-2024-9640.","productDescription":"10 p.","startPage":"1844","endPage":"1853","ipdsId":"IP-171842","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":495446,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 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Laboratory of Mineralogy and Metallogeny, Guangdong Provincial Key Laboratory of Mineral Physics and Materials, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":948715,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Yuan, Yuhuan","contributorId":361381,"corporation":false,"usgs":false,"family":"Yuan","given":"Yuhuan","affiliations":[{"id":86258,"text":"CAS Key Laboratory of Mineralogy and Metallogeny, Guangdong Provincial Key Laboratory of Mineral Physics and Materials, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":948716,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Zhu, Jianxi","contributorId":361382,"corporation":false,"usgs":false,"family":"Zhu","given":"Jianxi","affiliations":[{"id":86258,"text":"CAS Key Laboratory of Mineralogy and Metallogeny, Guangdong Provincial Key Laboratory of Mineral Physics and 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applications","interactions":[],"lastModifiedDate":"2025-06-23T15:20:23.515805","indexId":"70265500","displayToPublicDate":"2025-03-26T08:12:57","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":"Greater sage-grouse seasonal habitat associations: A review and considerations for interpretation and management applications","docAbstract":"Habitat features needed by wildlife can change in composition throughout the year, particularly in temperate ecosystems, leading to distinct seasonal spatial-use patterns. Studies of species-habitat associations therefore often focus on understanding relationships within discrete seasonal periods with common goals of prediction (e.g., habitat mapping) and inference (e.g., interpreting model coefficients). Across the range of the greater sage-grouse (Centrocercus urophasianus) of western North America, the increasing use of high-frequency tracking devices has led to a surge in habitat association studies covering multiple temporal periods and spatial extents. We reviewed the literature for seasonal habitat association studies corresponding to the second and third orders of selection (Johnson 1980). Our objectives were to summarize the methodological approaches used to estimate habitat associations to aid understanding in cross-study comparisons and identify common habitat features reported as selected or avoided within different seasonal periods. We reviewed 71 second- and third-order studies published from 2007–2023 that evaluated covariates collected in a geographic information system (GIS) and modeled probability of selection or intensity of use. The most common study design evaluated a single level of selection (third-order) and was multi-scale (i.e., covariates were measured at varying spatial grains). The most common model approach estimated habitat associations using resource selection functions (RSFs) fit with logistic regression. Studies mostly focused on the breeding periods and winter, but all seasons throughout the annual cycle were covered. There was clear support for selection of sagebrush and avoidance of trees and rugged terrain across seasons, and strong selection of mesic conditions in summer. However, habitat associations for most covariates were mixed, with proportionally equivalent selection and avoidance reported, even within the same seasons. Different factors hampered cross-study comparisons, including variation in study design, but additional contributors likely included important context-dependent habitat associations, such as functional responses to changing habitat availability. We suggest collaborative studies leveraging multiple datasets can help improve seasonal habitat inference by removing the effects of variable study designs.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.70022","usgsCitation":"Wann, G.T., Whipple, A.L., Orning, E.K., McLachlan, M.M., Beck, J.L., Coates, P., Conway, C.J., Dinkins, J.B., Johnston, A.N., Hagen, C., Makela, P., Naugle, D., Schroeder, M.A., Sedinger, J.S., Walker, B.L., Williams, P.J., Inman, R.D., and Aldridge, C.L., 2025, Greater sage-grouse seasonal habitat associations: A review and considerations for interpretation and management applications: Journal of Wildlife Management, v. 89, no. 5, e70022, 33 p., https://doi.org/10.1002/jwmg.70022.","productDescription":"e70022, 33 p.","ipdsId":"IP-154951","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":488629,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.70022","text":"Publisher Index 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Wildlife","active":true,"usgs":false}],"preferred":false,"id":932842,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Sedinger, James S.","contributorId":84861,"corporation":false,"usgs":false,"family":"Sedinger","given":"James","email":"","middleInitial":"S.","affiliations":[{"id":12742,"text":"University of Nevada Reno","active":true,"usgs":false}],"preferred":false,"id":932843,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Walker, Brett L.","contributorId":82964,"corporation":false,"usgs":true,"family":"Walker","given":"Brett","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":932844,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Williams, Perry J.","contributorId":169058,"corporation":false,"usgs":false,"family":"Williams","given":"Perry","email":"","middleInitial":"J.","affiliations":[{"id":25400,"text":"U.S. Fish and Wildlife Service, Big Oaks National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":932845,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Inman, Richard D. 0000-0002-1982-7791 rdinman@usgs.gov","orcid":"https://orcid.org/0000-0002-1982-7791","contributorId":187754,"corporation":false,"usgs":true,"family":"Inman","given":"Richard","email":"rdinman@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":932846,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":932847,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}} ,{"id":70268950,"text":"70268950 - 2025 - Social composition of soft‐release groups is correlated with survival of translocated gopher tortoises","interactions":[],"lastModifiedDate":"2025-07-11T15:08:06.152682","indexId":"70268950","displayToPublicDate":"2025-03-26T08:03:07","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":16872,"text":"The Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Social composition of soft‐release groups is correlated with survival of translocated gopher tortoises","docAbstract":"The social structure of translocated animal populations can have important effects on the survival and reproduction of translocated individuals for both solitary and social species. The gopher tortoise (Gopherus polyphemus) is a reptile of conservation concern that is currently experiencing high levels of mitigation translocation in Florida, USA. Individuals live in aggregations of burrows with frequent agonistic, courtship, and burrow-sharing interactions between residents. Given that exposure to many unfamiliar individuals may increase the frequency of aggressive interactions and social stress following translocation, we predicted that tortoises with greater numbers of familiar individuals co-translocated from the same origin site would have higher survival after translocation. To test this, we updated a recently published survival analysis of 2,822 translocated tortoises and 502 identified carcasses from a translocation site in the western Florida panhandle from 2006–2022. After controlling for simultaneous effects of soft-release enclosure identity, release season, release density, region of origin, sex, and size, adding the number of potentially familiar individuals improved model fit and showed increasing the number of familiars reduced the probability of being found dead. This effect was modulated by release density, being apparent only when density was high, suggesting a role for social interactions. This effect was also present only in the first few years after release, prior to the removal of soft-release enclosures preventing dispersal, and was similar in magnitude to previously identified effects of density, release season, and region of origin. We suggest that this effect may result from reduced aggressive interactions or social stress for tortoises with a greater number of familiar individuals in their release enclosures but cannot rule out the possibility of reduced novel pathogen exposure for individuals released with a greater number of individuals from the same source site or other factors that may be confounded with the size of translocated groups. Designing and implementing mitigation translocations to account for social composition of gopher tortoise groups could improve survival in release enclosures.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.70020","usgsCitation":"Loope, K., Cozad, R., Breakfield, D., Aresco, M., and Hunter, E.A., 2025, Social composition of soft‐release groups is correlated with survival of translocated gopher tortoises: The Journal of Wildlife Management, v. 89, no. 5, e70020, 14 p., https://doi.org/10.1002/jwmg.70020.","productDescription":"e70020, 14 p.","ipdsId":"IP-169542","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":492475,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.70020","text":"Publisher Index Page"},{"id":492133,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -87.75224246079063,\n 30.992257366593762\n ],\n [\n -87.75224246079063,\n 29.82890590815998\n ],\n [\n -84.30370034537961,\n 29.82890590815998\n ],\n [\n -84.30370034537961,\n 30.992257366593762\n ],\n [\n -87.75224246079063,\n 30.992257366593762\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"89","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Loope, Kevin J.","contributorId":357851,"corporation":false,"usgs":false,"family":"Loope","given":"Kevin J.","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":942703,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cozad, Rebecca A.","contributorId":357853,"corporation":false,"usgs":false,"family":"Cozad","given":"Rebecca A.","affiliations":[{"id":81935,"text":"Nokuse","active":true,"usgs":false}],"preferred":false,"id":942704,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Breakfield, Derek. B.","contributorId":357855,"corporation":false,"usgs":false,"family":"Breakfield","given":"Derek. B.","affiliations":[{"id":81935,"text":"Nokuse","active":true,"usgs":false}],"preferred":false,"id":942705,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aresco, Matthew J.","contributorId":357857,"corporation":false,"usgs":false,"family":"Aresco","given":"Matthew J.","affiliations":[{"id":81935,"text":"Nokuse","active":true,"usgs":false}],"preferred":false,"id":942706,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hunter, Elizabeth Ann 0000-0003-4710-167X","orcid":"https://orcid.org/0000-0003-4710-167X","contributorId":288535,"corporation":false,"usgs":true,"family":"Hunter","given":"Elizabeth","email":"","middleInitial":"Ann","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":942707,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70266844,"text":"70266844 - 2025 - Scaling from microsite to landscape to resolve litter decomposition dynamics in globally extensive drylands","interactions":[],"lastModifiedDate":"2025-05-13T15:09:17.143776","indexId":"70266844","displayToPublicDate":"2025-03-26T07:59:53","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1711,"text":"Functional Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Scaling from microsite to landscape to resolve litter decomposition dynamics in globally extensive drylands","docAbstract":"1. Decomposition controls the release of carbon and nutrients from decaying plant litter into soils or the atmosphere. In most biomes decomposition rates can be accurately predicted with simple mathematical models, but these models have long under-predicted decomposition in globally- extensive drylands.
2. We posit that the exposed surface conditions characteristic of drylands makes litter decomposition uniquely subject to microsite-specific environmental controls and spatially-variable microbial communities. As such, decomposition in dryland ecosystems – which are characterized by extremes in temporal heterogeneity of climate conditions and spatial heterogeneity of vegetation cover with corresponding microclimate variability – is a prime example of a macrosystems process that can be addressed by merging field data with new predictive models operating across a hierarchical continuum of spatial scales and process resolutions.
3. A macrosystems approach offers promise to reconcile model-measurement discrepancies by integrating observations and experiments across multiple scales, from microsites (e.g., shrub sub-canopy or intercanopy) to regions (e.g., across a 100s of km2 study site with complex topography, precipitation, and temperature) and ultimately to a continental perspective (e.g., North American drylands).
4. Recent developments in technology and data availability position the scientific community to integrate lab, field, modeling, and remote sensing approaches across a hierarchical range of scales to capture the spatiotemporal distribution of litter and environmental conditions needed to predict decay dynamics at the micro-to-macroscale. This multi-scale approach promises a path forward to resolving a longstanding disconnect between measured and modeled data in dryland litter decomposition.
5. Dryland litter decomposition presents an excellent case study for resolving spatially and temporally complex biogeochemical dynamics through a hierarchical, multidisciplinary macrosystems approach.
6. We focus on dryland litter decomposition, but the hierarchical, multidisciplinary macrosystems approach we outline shows great potential for resolving other spatially and temporally complex biogeochemical processes across a wide range of ecosystems.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2435.70029","usgsCitation":"Throop, H.L., Li, J., Moorhead, D., Reed, S., Todd-Brown, K., Besser, A., Bloom, D., Ingalls, T., and Cueva, A., 2025, Scaling from microsite to landscape to resolve litter decomposition dynamics in globally extensive drylands: Functional Ecology, 11 p., https://doi.org/10.1111/1365-2435.70029.","productDescription":"11 p.","ipdsId":"IP-176124","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":488192,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2435.70029","text":"Publisher Index Page"},{"id":485815,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Online First","noUsgsAuthors":false,"publicationDate":"2025-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Throop, Heather L. 0000-0002-7963-4342","orcid":"https://orcid.org/0000-0002-7963-4342","contributorId":139051,"corporation":false,"usgs":false,"family":"Throop","given":"Heather","email":"","middleInitial":"L.","affiliations":[{"id":12633,"text":"Biology Department, New Mexico State University, Las Cruces, NM","active":true,"usgs":false}],"preferred":false,"id":936890,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Li, Jiwei","contributorId":355122,"corporation":false,"usgs":false,"family":"Li","given":"Jiwei","affiliations":[{"id":84709,"text":"Arizona State University, Earth and Space Sciences, Tempe, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":936891,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moorhead, Daryl L.","contributorId":355123,"corporation":false,"usgs":false,"family":"Moorhead","given":"Daryl L.","affiliations":[{"id":84710,"text":"Toledo University, Biology Department, Toledo, OH USA","active":true,"usgs":false}],"preferred":false,"id":936892,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reed, Sasha C. 0000-0002-8597-8619","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":205372,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":936893,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Todd-Brown, Katherine","contributorId":197914,"corporation":false,"usgs":false,"family":"Todd-Brown","given":"Katherine","affiliations":[],"preferred":false,"id":936894,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Besser, Alexi","contributorId":355124,"corporation":false,"usgs":false,"family":"Besser","given":"Alexi","affiliations":[{"id":84709,"text":"Arizona State University, Earth and Space Sciences, Tempe, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":936895,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bloom, Dellena","contributorId":355125,"corporation":false,"usgs":false,"family":"Bloom","given":"Dellena","affiliations":[{"id":84713,"text":"University of Florida, Engineering School of Sustainable Infrastructure and Environment, Gainesville, FL USA","active":true,"usgs":false}],"preferred":false,"id":936896,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ingalls, Thomas","contributorId":355126,"corporation":false,"usgs":false,"family":"Ingalls","given":"Thomas","affiliations":[{"id":84709,"text":"Arizona State University, Earth and Space Sciences, Tempe, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":936897,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cueva, Alejandro","contributorId":355127,"corporation":false,"usgs":false,"family":"Cueva","given":"Alejandro","affiliations":[{"id":84714,"text":"El Colegio de la Frontera Sur, Departemento de Ecosistema Ecologico, San Cristobal, Mexico","active":true,"usgs":false}],"preferred":false,"id":936898,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70264859,"text":"70264859 - 2025 - Shortening migration by 4500 km does not affect nesting phenology or increase nest success for black brant (Branta bernicla nigricans) breeding in Arctic and subarctic Alaska","interactions":[],"lastModifiedDate":"2025-03-26T15:30:46.139491","indexId":"70264859","displayToPublicDate":"2025-03-25T10:22:46","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2792,"text":"Movement Ecology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Shortening migration by 4500 km does not affect nesting phenology or increase nest success for black brant (Branta bernicla nigrica) breeding in Arctic and subarctic Alaska","title":"Shortening migration by 4500 km does not affect nesting phenology or increase nest success for black brant (Branta bernicla nigricans) breeding in Arctic and subarctic Alaska","docAbstract":"Since the 1980s, Pacific Black Brant (Branta bernicla nigricans, hereafter brant) have shifted their winter distribution northward from Mexico to Alaska (approximately 4500 km) with changes in climate. Alongside this shift, the primary breeding population of brant has declined. To understand the population-level implications of the changing migration strategy of brant, it is important to connect movement and demographic data. Our objectives were to calculate migratory connectivity, a measure of spatial and temporal overlap during the non-breeding period, for Arctic and subarctic breeding populations of brant, and to determine if variation in migration strategies affected nesting phenology and nest survival.
We derived a migratory network using light-level geolocator migration tracks from an Arctic site (Colville River Delta) and a subarctic site (Tutakoke River) in Alaska. Using this network, we quantified the migratory connectivity of the two populations during the winter. We also compared nest success rates among brant that used different combinations of winter sites and breeding sites.
The two breeding populations were well mixed during the winter, as indicated by a migratory connectivity score close to 0 (− 0.06) at the primary wintering sites of Izembek Lagoon, Alaska (n = 11 brant) and Baja California, Mexico (n = 48). However, Arctic birds were more likely to migrate the shorter distance to Izembek (transition probability = 0.24) compared to subarctic birds (transition probability = 0.09). Nest survival for both breeding populations was relatively high (0.88–0.92), and we did not detect an effect of wintering site on nest success the following year.
Nest survival of brant did not differ among brant that used wintering sites despite a 4500 km difference in migration distances. Our results also suggested that the growing Arctic breeding population is unlikely to compensate for declines in the larger breeding population of brant in the subarctic. However, this study took place in 2011–2014 and wintering at Izembek Lagoon may have greater implications for reproductive success under future climate conditions.
","language":"English","publisher":"Biomed Central","doi":"10.1186/s40462-025-00530-z","usgsCitation":"Matsuoka, T., Patil, V.P., Hupp, J., Leach, A.G., Reed, J., Sedinger, J.S., and Ward, D., 2025, Shortening migration by 4500 km does not affect nesting phenology or increase nest success for black brant (Branta bernicla nigricans) breeding in Arctic and subarctic Alaska: Movement Ecology, v. 13, 21, 13 p., https://doi.org/10.1186/s40462-025-00530-z.","productDescription":"21, 13 p.","ipdsId":"IP-165239","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":488665,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40462-025-00530-z","text":"Publisher Index Page"},{"id":483879,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Mexico, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -113.81790807363556,\n 25.109390075267115\n ],\n [\n -111.12577320220554,\n 27.35015894013445\n ],\n [\n -120.0723516818312,\n 35.91671872458075\n ],\n [\n -123.33332088662812,\n 40.09627486987472\n ],\n [\n -121.76064748127651,\n 47.98998229927324\n ],\n [\n -130.2791770051045,\n 55.04657100955589\n ],\n [\n -136.74332020250924,\n 60.0900518762904\n ],\n [\n -151.50218954211437,\n 61.77599779101939\n ],\n [\n -149.6269528576101,\n 71.05149390049743\n ],\n [\n -170.1204062110206,\n 69.1137478231604\n ],\n [\n -168.34559408430363,\n 64.82390470369859\n ],\n [\n -168.00886131353556,\n 59.730643122555506\n ],\n [\n -161.62008391184636,\n 54.513433513042116\n ],\n [\n -144.88512099831664,\n 59.17828589453629\n ],\n [\n -135.41036792441935,\n 55.18200025222632\n ],\n [\n -131.56466235414842,\n 51.06113369117236\n ],\n [\n -126.52375383157013,\n 47.127718603387564\n ],\n [\n -125.86832751079751,\n 39.580339094365684\n ],\n [\n -119.94329894845731,\n 31.85072142642305\n ],\n [\n -113.81790807363556,\n 25.109390075267115\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"13","noUsgsAuthors":false,"publicationDate":"2025-03-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Matsuoka, Toshio Doroff 0009-0009-4235-2614","orcid":"https://orcid.org/0009-0009-4235-2614","contributorId":352705,"corporation":false,"usgs":true,"family":"Matsuoka","given":"Toshio Doroff","affiliations":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"preferred":true,"id":932067,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patil, Vijay P. 0000-0002-9357-194X vpatil@usgs.gov","orcid":"https://orcid.org/0000-0002-9357-194X","contributorId":203676,"corporation":false,"usgs":true,"family":"Patil","given":"Vijay","email":"vpatil@usgs.gov","middleInitial":"P.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":932068,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hupp, Jerry W. 0000-0002-6439-3910","orcid":"https://orcid.org/0000-0002-6439-3910","contributorId":339472,"corporation":false,"usgs":false,"family":"Hupp","given":"Jerry W.","affiliations":[{"id":7065,"text":"USGS emeritus","active":true,"usgs":false}],"preferred":false,"id":932069,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leach, Alan G.","contributorId":203591,"corporation":false,"usgs":false,"family":"Leach","given":"Alan","email":"","middleInitial":"G.","affiliations":[{"id":36666,"text":"Department of Natural Resources and Environmental Science, University of Nevada-Reno","active":true,"usgs":false}],"preferred":false,"id":932070,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reed, John 0000-0002-3239-6906","orcid":"https://orcid.org/0000-0002-3239-6906","contributorId":214852,"corporation":false,"usgs":true,"family":"Reed","given":"John","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":932071,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sedinger, James S.","contributorId":84861,"corporation":false,"usgs":false,"family":"Sedinger","given":"James","email":"","middleInitial":"S.","affiliations":[{"id":12742,"text":"University of Nevada Reno","active":true,"usgs":false}],"preferred":false,"id":932072,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ward, David H.","contributorId":352708,"corporation":false,"usgs":false,"family":"Ward","given":"David H.","affiliations":[{"id":84288,"text":"U.S. Geological Survey Alaska Science Center (Emeritus)","active":true,"usgs":false}],"preferred":false,"id":932073,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70264861,"text":"70264861 - 2025 - Structural analysis of brittle-plastic shear zones in the Sangre de Cristo Range, southern Colorado USA: Superposition of Rio Grande rift extension on Laramide contraction","interactions":[],"lastModifiedDate":"2025-05-28T14:53:12.678207","indexId":"70264861","displayToPublicDate":"2025-03-25T10:05:14","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Structural analysis of brittle-plastic shear zones in the Sangre de Cristo Range, southern Colorado USA: Superposition of Rio Grande rift extension on Laramide contraction","docAbstract":"The Sangre de Cristo Range in southern Colorado exposes some of the deepest Cenozoic structural levels in the Rocky Mountain region, including mylonitic shear zones associated with both the Laramide orogeny and Rio Grande rift. We investigated the relation between Laramide contraction and Rio Grande rift extension with detailed geologic mapping, kinematic analysis, and geochronometry in a 50 km2 area centered on the Independence Mine shear zone (IMSZ). The 15−100-m-thick IMSZ is one of several shallowly to moderately (∼45° ± 20°) W-SW−dipping brittle-plastic shear zones along the western flank of the range. These shear zones display microstructural evidence of initiation as top-NE contractional mylonite zones, consistent with regional Laramide kinematics, which have been pervasively overprinted by shear fabrics indicating top-SW extensional reactivation. Both top-NE and top-SW shear fabrics involve cataclasis and quartz dislocation creep, although top-SW shear is more commonly localized along phyllosilicate-lined shear bands. Shear zones are hosted predominately within Proterozoic gneiss, and contain abundant chlorite and white mica derived from alteration of hornblende and feldspar, which indicates that weakening driven by fluid reactions played an important role in localizing strain. Extensional overprinting appears to be most pervasive along more steeply dipping portions of shear zones and where secondary phyllosilicates form an interconnected weak phase, which suggests that reactivation was primarily controlled by geometry and rheological contrasts inherited from contraction. One top-SW shear zone adjacent to the IMSZ cuts a late Oligocene gabbro stock, and monazite grains synkinematic with top-SW shear in the IMSZ yielded late Oligocene to Early Miocene U-Th-Pb dates that correspond with initiation of the Rio Grande rift. Reactivation of weak reverse faults may represent an important structural control during initial extension in the middle crust, prior to slip along the high-angle Sangre de Cristo normal fault system.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02772.1","usgsCitation":"Sitar, M., Singleton, J.S., Rahl, J., Caine, J., King, J., Kylander-Clark, A.R., and O’Sullivan, P., 2025, Structural analysis of brittle-plastic shear zones in the Sangre de Cristo Range, southern Colorado USA: Superposition of Rio Grande rift extension on Laramide contraction: Geosphere, v. 21, no. 3, p. 446-469, https://doi.org/10.1130/GES02772.1.","productDescription":"24 p.","startPage":"446","endPage":"469","ipdsId":"IP-163394","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":488514,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02772.1","text":"Publisher Index Page"},{"id":483877,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Sangre de Christo Range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.75,\n 38.125\n ],\n [\n -105.75,\n 37.5\n ],\n [\n -105.25,\n 37.5\n ],\n [\n -105.25,\n 38.125\n ],\n [\n -105.75,\n 38.125\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"21","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-03-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Sitar, Michael C. 0000-0003-0688-1067","orcid":"https://orcid.org/0000-0003-0688-1067","contributorId":352709,"corporation":false,"usgs":false,"family":"Sitar","given":"Michael C.","affiliations":[{"id":48080,"text":"Colorado State University, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":932081,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Singleton, John S. 0000-0001-9399-7732","orcid":"https://orcid.org/0000-0001-9399-7732","contributorId":306242,"corporation":false,"usgs":false,"family":"Singleton","given":"John","email":"","middleInitial":"S.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":932082,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rahl, Jeffrey M. 0000-0002-9195-8294","orcid":"https://orcid.org/0000-0002-9195-8294","contributorId":352710,"corporation":false,"usgs":false,"family":"Rahl","given":"Jeffrey M.","affiliations":[{"id":37754,"text":"Washington and Lee University, Lexington, VA","active":true,"usgs":false}],"preferred":false,"id":932083,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Caine, Jonathan Saul 0000-0002-7269-6989 jscaine@usgs.gov","orcid":"https://orcid.org/0000-0002-7269-6989","contributorId":199295,"corporation":false,"usgs":true,"family":"Caine","given":"Jonathan Saul","email":"jscaine@usgs.gov","affiliations":[],"preferred":true,"id":932084,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"King, Jacob","contributorId":352711,"corporation":false,"usgs":false,"family":"King","given":"Jacob","affiliations":[{"id":48080,"text":"Colorado State University, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":932085,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kylander-Clark, Andrew R C","contributorId":269776,"corporation":false,"usgs":false,"family":"Kylander-Clark","given":"Andrew","email":"","middleInitial":"R C","affiliations":[{"id":27356,"text":"UC-Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":932086,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"O’Sullivan, Paul","contributorId":352712,"corporation":false,"usgs":false,"family":"O’Sullivan","given":"Paul","affiliations":[{"id":84291,"text":"GeoSep Services, Moscow, ID","active":true,"usgs":false}],"preferred":false,"id":932087,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70268343,"text":"70268343 - 2025 - C4 photosynthesis, trait spectra, and the fast-efficient phenotype","interactions":[],"lastModifiedDate":"2025-06-23T14:52:23.53561","indexId":"70268343","displayToPublicDate":"2025-03-25T09:49:37","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2863,"text":"New Phytologist","active":true,"publicationSubtype":{"id":10}},"displayTitle":"C4 photosynthesis, trait spectra, and the fast-efficient phenotype","title":"C4 photosynthesis, trait spectra, and the fast-efficient phenotype","docAbstract":"It has been 60 years since the discovery of C4 photosynthesis, an event that rewrote our understanding of plant adaptation, ecosystem responses to global change, and global food security. Despite six decades of research, one aspect of C4 photosynthesis that remains poorly understood is how the pathway fits into the broader context of adaptive trait spectra, which form our modern view of functional trait ecology. The C4 CO2-concentrating mechanism supports a general C4 plant phenotype capable of fast growth and high resource-use efficiencies. The fast-efficient C4 phenotype has the potential to operate at high productivity rates, while allowing for less biomass allocation to root production and nutrient acquisition, thereby providing opportunities for the evolution of novel trait covariances and the exploitation of new ecological niches. We propose the placement of the C4 fast-efficient phenotype near the acquisitive pole of the world-wide leaf economic spectrum, but with a pathway-specific span of trait space, wherein selection shapes both acquisitive and conservative adaptive strategies. A trait-based perspective of C4 photosynthesis will open new paths to crop improvement, global biogeochemical modeling, the management of invasive species, and the restoration of disturbed ecosystems, particularly in grasslands.
","language":"English","publisher":"New Phytologist Foundation","doi":"10.1111/nph.70057","usgsCitation":"Monson, R., Li, S., Ainsworth, E.A., Fan, Y., Hodge, J., Knapp, A.K., Leakey, A., Lombardozzi, D., Reed, S., Sage, R.F., Smith, M.D., Smith, N.G., Still, C.J., and Way, D.A., 2025, C4 photosynthesis, trait spectra, and the fast-efficient phenotype: New Phytologist, v. 246, no. 3, p. 879-893, https://doi.org/10.1111/nph.70057.","productDescription":"15 p.","startPage":"879","endPage":"893","ipdsId":"IP-175808","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":496378,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/nph.70057","text":"Publisher Index Page"},{"id":491104,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"246","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Monson, Russell K.","contributorId":357242,"corporation":false,"usgs":false,"family":"Monson","given":"Russell K.","affiliations":[{"id":85357,"text":"Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, Colorado 80309, USA","active":true,"usgs":false}],"preferred":false,"id":940873,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Li, Shuai","contributorId":357243,"corporation":false,"usgs":false,"family":"Li","given":"Shuai","affiliations":[{"id":85358,"text":"Guangdong Provincial Key Lab. of Applied Botany, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, Guangdong, China; Carl R. Woese Institute for Genomic Biology, Uni of Illinois at Urbana-Champaign, Urbana, Illinois, USA","active":true,"usgs":false}],"preferred":false,"id":940874,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ainsworth, Elizabeth A.","contributorId":266079,"corporation":false,"usgs":false,"family":"Ainsworth","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[{"id":54883,"text":"USDA ARS GCPRU, 1201 W. Gregory Drive, Urbana, IL 61801, USA","active":true,"usgs":false}],"preferred":false,"id":940875,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fan, Yuzhen","contributorId":357244,"corporation":false,"usgs":false,"family":"Fan","given":"Yuzhen","affiliations":[{"id":85359,"text":"Division of Plant Sciences, Research School of Biology, The Australian National University, Canberra, ACT 2601, Australia","active":true,"usgs":false}],"preferred":false,"id":940876,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hodge, John G.","contributorId":357245,"corporation":false,"usgs":false,"family":"Hodge","given":"John G.","affiliations":[{"id":85360,"text":"Center for Advanced Bioenergy and Bioproducts Innovation, Urbana, Illinois, 61801, USA","active":true,"usgs":false}],"preferred":false,"id":940877,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Knapp, Alan K.","contributorId":223624,"corporation":false,"usgs":false,"family":"Knapp","given":"Alan","email":"","middleInitial":"K.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":940878,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Leakey, Andrew D.B.","contributorId":266112,"corporation":false,"usgs":false,"family":"Leakey","given":"Andrew D.B.","affiliations":[{"id":54910,"text":"Departments of Plant Biology and Crop Sciences, University of Illinois at Urbana-Champaign, 1206 W Gregory Dr, Urbana, IL 61801, USA","active":true,"usgs":false}],"preferred":false,"id":940879,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lombardozzi, Danica","contributorId":357246,"corporation":false,"usgs":false,"family":"Lombardozzi","given":"Danica","affiliations":[{"id":85361,"text":"Department of Ecosystem Science and Sustainability, Colorado State University, Fort Collins, CO 80521 USA","active":true,"usgs":false}],"preferred":false,"id":940880,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Reed, Sasha C. 0000-0002-8597-8619","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":205372,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":940881,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sage, Rowan F.","contributorId":296142,"corporation":false,"usgs":false,"family":"Sage","given":"Rowan","email":"","middleInitial":"F.","affiliations":[{"id":7044,"text":"University of Toronto","active":true,"usgs":false}],"preferred":false,"id":940882,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Smith, Melinda D.","contributorId":223621,"corporation":false,"usgs":false,"family":"Smith","given":"Melinda","email":"","middleInitial":"D.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":940883,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Smith, Nicholas G.","contributorId":266125,"corporation":false,"usgs":false,"family":"Smith","given":"Nicholas","email":"","middleInitial":"G.","affiliations":[{"id":54920,"text":"Department of Biological Sciences, Texas Tech University, Lubbock, TX 79409, USA","active":true,"usgs":false}],"preferred":false,"id":940884,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Still, Christopher J.","contributorId":167581,"corporation":false,"usgs":false,"family":"Still","given":"Christopher","email":"","middleInitial":"J.","affiliations":[{"id":24761,"text":"University of California, Santa Barbara; Oregon State University","active":true,"usgs":false}],"preferred":false,"id":940885,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Way, Danielle A.","contributorId":199465,"corporation":false,"usgs":false,"family":"Way","given":"Danielle","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":940886,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70265455,"text":"70265455 - 2025 - Sea Lamprey control reduction during the COVID-19 pandemic corresponds to rapid increase in Sea Lamprey abundance","interactions":[],"lastModifiedDate":"2025-09-09T14:35:47.538135","indexId":"70265455","displayToPublicDate":"2025-03-25T09:35:42","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"Sea Lamprey control reduction during the COVID-19 pandemic corresponds to rapid increase in Sea Lamprey abundance","docAbstract":"The Sea Lamprey Petromyzon marinus control program in the Laurentian Great Lakes is one of the longest-running and most successful invasive species suppression programs in the world. Although several techniques are used to suppress Sea Lamprey, the control program relies heavily on regular application of lampricide to kill stream-dwelling larvae. The COVID-19 pandemic disrupted lampricide application from 2020 to 2022, which provided a unique opportunity to test how Sea Lamprey populations and wound counts on fishes would respond. We evaluated the consequences of decreased control effort at a basin-wide level using standard control program metrics and through a focused analysis of multispecies wounding in Lake Ontario, which experienced the greatest disruption in Sea Lamprey control. The reduction in control effort corresponded to increased basin-wide adult Sea Lamprey abundance but was only weakly associated with Lake Trout Salvelinus namaycush wounding. However, the novel multispecies wounding rate metric calculated for Lake Ontario increased and was consistent with observations by anglers and managers regarding a sharp increase in Sea Lamprey abundance following reduced effort. Ultimately, our research highlights that consistent treatment is critically important for preventing damage stemming from Sea Lamprey and that reductions in suppression could quickly lead to a resurgence in abundance.
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Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Responses of larval fish and zooplankton to whole-lake 2,4-D herbicide treatments used to control Eurasian watermilfoil in northern Wisconsin lakes","docAbstract":"In North America, Eurasian watermilfoil Myriophyllum spicatum is one of the most widespread non-native aquatic plant species in freshwater ecosystems. Applications of 2,4-dichlorophenoxyacetic acid (2,4-D) herbicides are often utilized to control Eurasian watermilfoil. Herbicide applications may have unintended effects on non-target organisms like zooplankton and fish, but these effects are poorly understood. Our objectives were to determine if whole-lake 2,4-D herbicide treatments (epilimnetic target rate = 0.3 ppm) used to control Eurasian watermilfoil affected (1) density, diversity, and size of zooplankton and (2) density, diversity, and growth of larval fishes in three northern Wisconsin lakes when compared to trends observed in three untreated reference lakes. Average peak concentrations of 2,4-D following applications ranged from 0.152 to 0.257 ppm. We found no statistically significant evidence that the applications influenced the zooplankton and larval fish metrics we examined, but subtle responses to the herbicides may not have been detected given the inherent variation in our response metrics. Additional replication and research are needed to assess responses to higher concentrations and repeated applications over time and to document responses across a broader range of lake types and fish communities.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s10750-024-05698-w","usgsCitation":"Rydell, N., VanDeHey, J., Dembkowski, D., Gauthier, K., Van Egeren, S., Kubitz, J.A., Naumann, T.R., and Isermann, D.A., 2025, Responses of larval fish and zooplankton to whole-lake 2,4-D herbicide treatments used to control Eurasian watermilfoil in northern Wisconsin lakes: Hydrobiologia, v. 852, p. 2769-2786, https://doi.org/10.1007/s10750-024-05698-w.","productDescription":"18 p.","startPage":"2769","endPage":"2786","ipdsId":"IP-155041","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":493709,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","county":"Oneida County, Vilas County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -90.04240173435862,\n 46.27854767707535\n ],\n [\n -90.04240173435862,\n 45.62776439323994\n ],\n [\n -89.31466895402599,\n 45.62776439323994\n ],\n [\n -89.31466895402599,\n 46.27854767707535\n ],\n [\n -90.04240173435862,\n 46.27854767707535\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"852","noUsgsAuthors":false,"publicationDate":"2025-03-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Rydell, Nicholas","contributorId":359357,"corporation":false,"usgs":false,"family":"Rydell","given":"Nicholas","affiliations":[{"id":675,"text":"Wisconsin Cooperative Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":945177,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"VanDeHey, Justin","contributorId":191463,"corporation":false,"usgs":false,"family":"VanDeHey","given":"Justin","affiliations":[],"preferred":false,"id":945178,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dembkowski, Daniel","contributorId":348816,"corporation":false,"usgs":false,"family":"Dembkowski","given":"Daniel","affiliations":[{"id":33303,"text":"University of Wisconsin Stevens Point","active":true,"usgs":false}],"preferred":false,"id":945179,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gauthier, Kevin","contributorId":359358,"corporation":false,"usgs":false,"family":"Gauthier","given":"Kevin","affiliations":[],"preferred":false,"id":945180,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Van Egeren, Scott","contributorId":359359,"corporation":false,"usgs":false,"family":"Van Egeren","given":"Scott","affiliations":[],"preferred":false,"id":945181,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kubitz, Jody A.","contributorId":175430,"corporation":false,"usgs":false,"family":"Kubitz","given":"Jody","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":945182,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Naumann, Terry R.","contributorId":61652,"corporation":false,"usgs":true,"family":"Naumann","given":"Terry","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":945183,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":944988,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70265266,"text":"70265266 - 2025 - No magmatic driving force for Europan sea-floor volcanism","interactions":[],"lastModifiedDate":"2025-05-28T14:55:26.641908","indexId":"70265266","displayToPublicDate":"2025-03-24T15:17:37","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6448,"text":"Nature Astronomy","active":true,"publicationSubtype":{"id":10}},"title":"No magmatic driving force for Europan sea-floor volcanism","docAbstract":"The internal ocean of Jupiter’s moon Europa is thought to be a prime candidate for hosting extraterrestrial life. Europa’s silicate interior may contribute to habitability via the generation of reactants through hydrothermal activity, serpentinization, or other geological processes occurring on or just below Europa’s seafloor. However, silicate melting is thought to occur at >100 km depth in Europa’s mantle and it is unknown if this magma is able to penetrate and travel through the moon’s likely thick, brittle lithosphere to erupt at the seafloor. Here we combine previous modeling approaches to Europan interior melt generation and lithospheric dyke transport to show that Europan seafloor volcanism is strongly inhibited by its lithosphere. The low stress state of the Europan interior hinders the ability of dykes to penetrate through the lithosphere. Should dykes form, they penetrate <5% of the 200–250 km-thick lithosphere. Low mantle melt fractions (3–5%) drive sluggish pore-space magma flow, leading to dyke influxes 10,000 times lower than that necessary for seafloor eruption. These results strongly suggest that models of Europan habitability reliant on present-day volcanism at its seafloor are implausible.","language":"English","publisher":"Springer Nature","doi":"10.1038/s41550-025-02508-8","usgsCitation":"Green, A., Elder, C., Bland, M., Tackley, P., and Byrne, P., 2025, No magmatic driving force for Europan sea-floor volcanism: Nature Astronomy, v. 9, p. 640-649, https://doi.org/10.1038/s41550-025-02508-8.","productDescription":"10 p.","startPage":"640","endPage":"649","ipdsId":"IP-163125","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":484178,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Europa","volume":"9","noUsgsAuthors":false,"publicationDate":"2025-03-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Green, A.P.","contributorId":352969,"corporation":false,"usgs":false,"family":"Green","given":"A.P.","affiliations":[{"id":7023,"text":"Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":932638,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elder, Catherine","contributorId":331017,"corporation":false,"usgs":false,"family":"Elder","given":"Catherine","affiliations":[{"id":7023,"text":"Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":932627,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bland, Michael Thomas 0000-0001-5543-1519","orcid":"https://orcid.org/0000-0001-5543-1519","contributorId":352963,"corporation":false,"usgs":true,"family":"Bland","given":"Michael Thomas","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":932628,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tackley, Paul","contributorId":352966,"corporation":false,"usgs":false,"family":"Tackley","given":"Paul","affiliations":[{"id":12483,"text":"ETH Zurich","active":true,"usgs":false}],"preferred":false,"id":932629,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Byrne, Paul K.","contributorId":237950,"corporation":false,"usgs":false,"family":"Byrne","given":"Paul K.","affiliations":[{"id":47656,"text":"Planetary Research Group, Department of Marine, Earth, and Atmospheric Sciences, North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":932630,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70264759,"text":"fs20253006 - 2025 - Fiber-optic distributed temperature sensing of hydrologic processes—Diverse deployments and new applications by the U.S. Geological Survey","interactions":[],"lastModifiedDate":"2025-03-25T13:57:23.669017","indexId":"fs20253006","displayToPublicDate":"2025-03-24T14:45:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-3006","displayTitle":"Fiber-Optic Distributed Temperature Sensing of Hydrologic Processes—Diverse Deployments and New Applications by the U.S. Geological Survey","title":"Fiber-optic distributed temperature sensing of hydrologic processes—Diverse deployments and new applications by the U.S. Geological Survey","docAbstract":"Fiber-optic distributed temperature sensing instruments harness the temperature-dependent properties of glass to measure temperature continuously along optical fibers by using precise pulses of laser light. In the mid-2000s, this technology was refined for environmental monitoring purposes such as snowpack-air exchange, groundwater/surface-water exchange, and lake-water stratification. Fiber-optic distributed temperature sensing has revealed unprecedented details about preferential flow processes; however, the method is labor intensive and requires specific training, resulting in limited use by the broader water community. With the ongoing national implementation of the U.S. Geological Survey Next Generation Water Observing System, there has been renewed interest in harnessing the unique spatiotemporal monitoring capabilities of fiber-optic distributed temperature sensing. This fact sheet briefly describes this technology, highlights uses by the U.S. Geological Survey, and discusses current applications and future opportunities.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20253006","programNote":"Groundwater and Streamflow Information Program","usgsCitation":"Briggs, M.A., Rey, D.M., Opatz, C.C., Terry, N.C., Newman, C.P., Gruhn, L.R., and Johnson, C.D., 2025, Fiber-optic distributed temperature sensing of hydrologic processes—Diverse deployments and new applications by the U.S. Geological Survey: U.S. Geological Survey Fact Sheet 2025–3006, 6 p., https://doi.org/10.3133/fs20253006.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-163064","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":483673,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2025/3006/coverthb.jpg"},{"id":483674,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2025/3006/fs20253006.pdf","text":"Report","size":"17.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2025-3006 PDF"},{"id":483675,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20253006/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2025-3006 HTML"},{"id":483676,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2025/3006/fs20253006.XML","linkFileType":{"id":8,"text":"xml"},"description":"FS 2025-3006 XML"},{"id":483677,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2025/3006/images/"}],"contact":"Program Manager, Next Generation Water Observing System
Water Resources Mission Area
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192
The security and economic stability of the United States rely heavily on robust lifeline infrastructure systems and yet the risks to such systems are seldom quantified at the national scale. For example, while earthquake risks to buildings in the United States have been investigated at the national scale regularly, such risks to gas pipelines have rarely been investigated nationally. In this paper, we use examples from two critical infrastructure sectors to demonstrate (1) the nature of earthquake risks to lifeline infrastructure systems, (2) complexities involved in regional seismic risk assessments, and (3) how such risks change with time. We found that bridge risks can be underestimated by at least 64 % when viewed from repair costs instead of traffic demands and that regional risks can be underestimated by 19 % when spatial correlations of ground motion are ignored. Further, exceedance of traffic demand can be 50 times more likely to occur when viewed at the regional scale than when viewed at an individual bridge. Similarly, exceedance of repairs can be 180 times more likely to occur when viewed at the pipeline network level than at a segment-specific level. Finally, sensitivity analyses with the 2018 and 2023 USGS National Seismic Hazard Models indicate an increase in bridge risk of at least 24 % and an increase in exposed gas pipeline mileage of 43 %. The evolution of risks, complexities involved in assessments, and limited resources jointly underscore the need for more routine updates to nationwide seismic risk assessments of lifeline systems in the United States.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ijcip.2025.100758","usgsCitation":"Kwong, N.S., and Jaiswal, K.S., 2025, Assessing earthquake risks to lifeline infrastructure systems in the United States: International Journal of Critical Infrastructure Protection, v. 49, 100758, https://doi.org/10.1016/j.ijcip.2025.100758.","productDescription":"100758","ipdsId":"IP-170667","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":484841,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","noUsgsAuthors":false,"publicationDate":"2025-03-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Kwong, N. Simon 0000-0003-3017-9585","orcid":"https://orcid.org/0000-0003-3017-9585","contributorId":241863,"corporation":false,"usgs":true,"family":"Kwong","given":"N.","email":"","middleInitial":"Simon","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":934185,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jaiswal, Kishor S. 0000-0002-5803-8007 kjaiswal@usgs.gov","orcid":"https://orcid.org/0000-0002-5803-8007","contributorId":149796,"corporation":false,"usgs":true,"family":"Jaiswal","given":"Kishor","email":"kjaiswal@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":934186,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70266111,"text":"70266111 - 2025 - The importance of sampling design for unbiased estimation of survival using joint live-recapture and live resight models","interactions":[],"lastModifiedDate":"2025-04-25T15:31:50.116638","indexId":"70266111","displayToPublicDate":"2025-03-24T10:29:01","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":21214,"text":"Peer Community Journal","active":true,"publicationSubtype":{"id":10}},"title":"The importance of sampling design for unbiased estimation of survival using joint live-recapture and live resight models","docAbstract":"Survival is a key life history parameter that can inform management decisions and basic life history research. Because true survival is often confounded with emigration from the study area, many studies are forced to estimate apparent survival (i.e., probability of surviving and remaining inside the study area), which can be much lower than true survival for highly mobile species. One method for estimating true survival is the Barker joint live-recapture/live-resight (JLRLR) model, which combines capture data from a study area (hereafter the ‘capture site’) with resighting data from a broader geographic area. This model assumes that live resights occur throughout the entire area where animals can disperse to and this assumption is often not met in practice. Here we use simulation to evaluate survival bias from a JLRLR model under study design scenarios that differ in the site selection for resights: global, random, fixed including the capture site, and fixed excluding the capture site. Simulation results indicate that fixed designs that included the capture site showed negative survival bias, whereas fixed designs that excluded the capture site exhibited positive survival bias. The magnitude of the bias was dependent on movement and survival, where scenarios with high survival and frequent movement had minimal bias. In an effort to help minimize bias, we developed a multistate version of the JLRLR and demonstrated reductions in survival bias compared to the single-state version for most designs. Our results suggest minimizing bias can be accomplished by: 1) using a random resight design when feasible if global sampling is not possible, 2) using the multistate JLRLR model when appropriate, 3) including the capture site in the resight sampling frame when possible, and 4) reporting survival as apparent survival if fixed sites are used for resight with the single state JLRLR model.
","language":"English","publisher":"PeerJ","doi":"10.24072/pcjournal.533","usgsCitation":"Dzul, M.C., Yackulic, C., and Kendall, W.L., 2025, The importance of sampling design for unbiased estimation of survival using joint live-recapture and live resight models: Peer Community Journal, v. 5, e34, 24 p., https://doi.org/10.24072/pcjournal.533.","productDescription":"e34, 24 p.","ipdsId":"IP-158705","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":487775,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.24072/pcjournal.533","text":"Publisher Index Page"},{"id":485061,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","noUsgsAuthors":false,"publicationDate":"2025-03-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Dzul, Maria C. 0000-0002-4798-5930 mdzul@usgs.gov","orcid":"https://orcid.org/0000-0002-4798-5930","contributorId":5469,"corporation":false,"usgs":true,"family":"Dzul","given":"Maria","email":"mdzul@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":934618,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":934619,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kendall, William L. 0000-0003-0084-9891","orcid":"https://orcid.org/0000-0003-0084-9891","contributorId":204844,"corporation":false,"usgs":true,"family":"Kendall","given":"William","email":"","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":934620,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70265081,"text":"70265081 - 2025 - Planting seeds for thriving data management","interactions":[],"lastModifiedDate":"2025-04-01T15:28:49.893757","indexId":"70265081","displayToPublicDate":"2025-03-24T10:27:20","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7602,"text":"Eos, American Geophysical Union","active":true,"publicationSubtype":{"id":10}},"title":"Planting seeds for thriving data management","docAbstract":"The volumes and varieties of data coming from all types of scientific instrumentation around the globe and beyond are rapidly growing. To reuse and capitalize on these data effectively, scientists must be able to share and access them efficiently, which requires the data to be well managed. \nMany scientists intuit that research data management (RDM) done well does not mean using dusty USB drives or aging laptops for storage. Yet the path to strong data management is not always clear. How is RDM done? Who does it? For science to advance, we need to bolster cyberinfrastructure and human capacity to ensure that the data being collected are reusable by both humans and machines.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025EO250109","usgsCitation":"Benson, A., Beaulieu, S., Bishop, B., Diggs, S., and Formel, S., 2025, Planting seeds for thriving data management: Eos, American Geophysical Union, HTML Document, https://doi.org/10.1029/2025EO250109.","productDescription":"HTML Document","ipdsId":"IP-172647","costCenters":[{"id":38128,"text":"Science Analytics and Synthesis","active":true,"usgs":true}],"links":[{"id":488673,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025eo250109","text":"Publisher Index Page"},{"id":484072,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2025-03-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Benson, Abigail 0000-0002-4391-107X","orcid":"https://orcid.org/0000-0002-4391-107X","contributorId":352933,"corporation":false,"usgs":false,"family":"Benson","given":"Abigail","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":932501,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beaulieu, Stace 0000-0002-2609-5453","orcid":"https://orcid.org/0000-0002-2609-5453","contributorId":352935,"corporation":false,"usgs":false,"family":"Beaulieu","given":"Stace","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":932502,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bishop, Bradley Wade 0000-0002-5022-2707","orcid":"https://orcid.org/0000-0002-5022-2707","contributorId":352937,"corporation":false,"usgs":false,"family":"Bishop","given":"Bradley Wade","affiliations":[{"id":63836,"text":"University of Tennessee, Knoxville","active":true,"usgs":false}],"preferred":false,"id":932503,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Diggs, Stephen C. 0000-0003-3814-6104","orcid":"https://orcid.org/0000-0003-3814-6104","contributorId":352939,"corporation":false,"usgs":false,"family":"Diggs","given":"Stephen C.","affiliations":[{"id":84309,"text":"University of California Office of the President","active":true,"usgs":false}],"preferred":false,"id":932504,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Formel, Stephen Killfoile 0000-0001-7418-1244","orcid":"https://orcid.org/0000-0001-7418-1244","contributorId":338237,"corporation":false,"usgs":true,"family":"Formel","given":"Stephen Killfoile","affiliations":[{"id":38128,"text":"Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":932500,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70265072,"text":"70265072 - 2025 - Consideration of grid cell size to represent stream network geometry for the conterminous United States","interactions":[],"lastModifiedDate":"2025-05-12T15:41:31.487096","indexId":"70265072","displayToPublicDate":"2025-03-24T09:17:41","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Consideration of grid cell size to represent stream network geometry for the conterminous United States","docAbstract":"No abstract available.
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Center","active":true,"usgs":true}],"preferred":true,"id":932467,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belitz, Kenneth 0000-0003-4481-2345","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":201889,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":932468,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Killian, Courtney D. 0000-0002-2137-2722","orcid":"https://orcid.org/0000-0002-2137-2722","contributorId":213990,"corporation":false,"usgs":true,"family":"Killian","given":"Courtney","email":"","middleInitial":"D.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":932469,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70265015,"text":"70265015 - 2025 - Bayesian calibration of the 40K decay scheme with implications for 40K-based geochronology","interactions":[],"lastModifiedDate":"2025-04-28T15:14:09.946352","indexId":"70265015","displayToPublicDate":"2025-03-24T09:11:17","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Bayesian calibration of the 40K decay scheme with implications for 40K-based geochronology","title":"Bayesian calibration of the 40K decay scheme with implications for 40K-based geochronology","docAbstract":"The K/Ar and 40Ar/39Ar geochronometers are based on the naturally occurring radionuclide 40K. Their precision and accuracy are limited by uncertainties on the 40K decay constants and, in the case of the 40Ar/39Ar geochronometer, the isotopic composition of neutron fluence monitors. To address these limitations, we introduce a Bayesian calibration of the 40K decay scheme. We formulate robust priors for all model parameters including partial 40K decay constants, 238U and 235U decay constants, and age offset parameters to account for phenomena that can perturb apparent U-Pb and 40Ar/39Ar ages. We then harness a set of complementary 40Ar/39Ar, 238U/206Pb, and 235U/207Pb data from well- characterized geological samples with ages from 1.919 ka to 2000 Ma to derive Bayesian estimates of the 40K decay constants. Posterior values for the partial 40K decay constants are
Moderate-resolution (30-m) national map products have limited capacity to represent fine-scale, heterogeneous urban forms and processes, yet improvements from incorporating higher resolution predictor data remain rare. In this study, we applied random forest models to high-resolution land cover data for 71 U.S. urban areas, moderate-resolution National Land Cover Database (NLCD) Tree Canopy Cover (TCC), and additional explanatory climatic and structural data to develop an enhanced urban TCC dataset for U.S. urban areas. With a coefficient of determination (R2) of 0.747, our model estimated TCC within 3% for 62 urban areas and added 13.4% more city-level TCC on average, compared to the native NLCD TCC product. Cross validations indicated model stability suitable for building a national-scale TCC dataset (median R2 of 0.752, 0.675, and 0.743 for 1,000-fold cross validation, urban area leave-one-out cross validation, and cross validation by Census block group median year built, respectively). Additionally, our model code can be used to improve moderate-resolution TCC in other parts of the world where high-resolution land cover data have limited spatiotemporal availability.
","language":"English","publisher":"Springer Nature","doi":"10.1038/s41597-025-04816-0","usgsCitation":"Corro, L.M., Bagstad, K.J., Heris, M., Ibsen, P.C., Schleeweis, K., Diffendorfer, J., Troy, A., Megown, K., and O'Neil-Dunne, J., 2025, An enhanced national-scale urban tree canopy cover dataset for the United States: Scientific Data, v. 12, 490, 14 p., https://doi.org/10.1038/s41597-025-04816-0.","productDescription":"490, 14 p.","ipdsId":"IP-166001","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":488662,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41597-025-04816-0","text":"Publisher Index Page"},{"id":483878,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"conterminous United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": 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hydrous, anhydrous, and brine pyrolysis of oil shale: Implications for solid bitumen reflectance in source-rock reservoirs","docAbstract":"Solid bitumen reflectance (BRo in %) is widely used as a thermal maturity proxy in source-rock reservoirs, yet solid bitumen texture and physical attributes may be affected by varying environmental constraints during its formation, e.g., water saturation, mineral catalysis, or salinity. Herein we investigated the development of solid bitumen properties during artificial maturation using three diverse (lacustrine to marine) oil shale samples containing abundant amorphous H-rich sedimentary organic matter (bituminite). The oil shales were treated via pyrolysis (320 °C, 72 h) using hydrous, anhydrous, and brine conditions, causing the development of a newly formed solid bitumen in the experiment residues from the thermal conversion of bituminite. The properties of the newly formed solid bitumen then were evaluated via geochemical screening tests, optical and electron microscopy, and infrared spectroscopy. Experimental residues also were treated via solvent extraction, allowing characterization of the effects of extraction on solid bitumen. Results showed that bituminite with higher resin and asphaltene components evolved to a solid bitumen with higher reflectance (as a percentage of the original value) when exposed to the same heat treatment, relative to bituminite with higher saturate and aromatic components. Aromatization of solid bitumen also was generally more pronounced in the presence of deionized water relative to anhydrous conditions, supporting prior observations. These results suggest the compositions of primary sedimentary organic matter, and the local concentration of water, affect the development of solid bitumen during thermal advance, potentially explaining the origin of multiple solid bitumen populations with varying reflectance in source-rock reservoir samples or in a single microscope field. Experiments using brine were inconclusive regarding enhanced/decreased aromatization, which could be attributed to the salinities of the brines used in the tests. Extraction of residues caused a consistent increase in BRo values, suggesting that migrating or expelled oils could cause an increase in BRo via natural solvation and absent an increase in temperature. This work provides insights into the development and evolution of BRo in source-rock reservoirs as a function of the composition of the original bituminite and changing environmental conditions, with potentially broad application for petroleum prospecting and resource estimation.
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States","interactions":[],"lastModifiedDate":"2025-04-14T16:30:55.176106","indexId":"70265612","displayToPublicDate":"2025-03-23T09:24:20","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Ranking river basins for stream temperature research and monitoring in the contiguous United States","docAbstract":"There is a need to prioritize research and data collection in river basins by integrating information from environmental, ecological, and socioeconomic datasets to maintain acceptable water quality for human uses and ecosystem health. Multiple anthropogenic and natural stressors are responsible for driving changes in stream temperatures that can alter ecosystems and degrade water quality. These stressors are variable spatially and temporally, which can be challenging for prioritizing monitoring and research. In this study, an evaluation of variables related to stream temperature was performed for 163 candidate basins of the contiguous United States to highlight potential focal areas. Thirty variables were combined in six components: anthropogenic forcing, natural forcing, climate change, ecological sensitivity, socioeconomic sensitivity, and data availability. The components were incorporated into three themes: vulnerability of streams to thermal change, vulnerability of ecosystems, and vulnerability of communities. By evaluating each theme separately, patterns of vulnerability and potential resiliency were identified as well as consistency in ranks within the themes. For example, results of the national scale ranking indicated the Southern California Coastal basin (within California-Nevada region) was the highest-ranking priority in vulnerability of streams to thermal change and vulnerability of ecosystems. The analysis also identified vulnerable basins with gaps in monitoring. For example, the Missouri-Oahe basin (within the Northern High Plains region) was the highest-ranking priority for vulnerable communities with limitations in data availability. 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fishes: Invasive grass carp Ctenopharyngodon idella in the Sandusky River","interactions":[],"lastModifiedDate":"2025-04-16T14:26:35.866043","indexId":"70265789","displayToPublicDate":"2025-03-23T09:18:33","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1661,"text":"Fisheries Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Optimizing per vessel hour capture efficiency for rare, heterogeneously distributed fishes: Invasive grass carp Ctenopharyngodon idella in the Sandusky River","title":"Optimizing per vessel hour capture efficiency for rare, heterogeneously distributed fishes: Invasive grass carp Ctenopharyngodon idella in the Sandusky River","docAbstract":"Natural resources management is often concerned with conserving rare-native or controlling rare-invasive fishes. Informing and assessing conservation and control efforts frequently requires information from captures. When little is understood about spatial and temporal fish distributions, captures can be infrequent and costly. If successful management depends on effective management response, optimizing for efficiency may be the difference between success and failure. We compared per vessel hour capture efficiencies for invasive grass carp (Ctenopharyngodon idella) between two methods: electrofishing-only (electrofishing) and in combination with a trammel net (combination). Capture and effort information including 174 captures from 1853 capture attempts from 1706 total hours of effort in the Sandusky River, OH, USA from 2020–2023 was used to fit a generalized linear model. Captures were allowed to vary by river kilometer, month, and year to account for unequal capture rates and effort. Captures were offset by total vessel hours or the count of independent efforts to compare methods that prioritize detection at a single location (e.g., combination) to methods that prioritize exploiting more locations (e.g., electrofishing). Including trammel nets was intended to increase single site detection, but we found that electrofishing-only was at least 2.4x more efficient (catch per vessel hour) than when combined with a trammel net with no significant difference in catch per removal effort. Complex methods intended to increase single site detection may reduce the number of efforts completed. Therefore, overall capture efficiency and total capture numbers for rare fish may be increased through methods that prioritize per-hour efficiency.
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