{"pageNumber":"86","pageRowStart":"2125","pageSize":"25","recordCount":185143,"records":[{"id":70268075,"text":"70268075 - 2025 - Observation of unusual neonate-clustering behavior on maternal Cambarus chasmodactylus (New River Crayfish) after molting","interactions":[],"lastModifiedDate":"2025-06-12T14:48:34.960189","indexId":"70268075","displayToPublicDate":"2025-05-16T07:36:33","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2898,"text":"Northeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Observation of unusual neonate-clustering behavior on maternal Cambarus chasmodactylus (New River Crayfish) after molting","docAbstract":"

Cambarus chasmodactylus (New River Crayfish) is one of the largest crayfish species occurring in the Appalachian Mountains and occupies a niche similar to several highly imperiled crayfishes within the same region. While conducting a controlled mesocosm study assessing the impacts of contaminants on crayfish growth, development, and reproductive status, we recorded an observation where New River Crayfish neonates clustered around the head of an untreated, reference maternal crayfish after molting. This neonate head-clustering behavior did not appear to impact the female during the 3-week period the behavior was observed. Further observations are needed to determine if this behavior occurs across other crayfish species, and if it is displayed outside of captive conditions.

","language":"English","publisher":"BioOne","doi":"10.1656/045.032.0207","usgsCitation":"Welsh, A., Loughman, Z., Graham, Z., and Henry, P.F., 2025, Observation of unusual neonate-clustering behavior on maternal Cambarus chasmodactylus (New River Crayfish) after molting: Northeastern Naturalist, v. 32, no. 2, p. N12-N17, https://doi.org/10.1656/045.032.0207.","productDescription":"6 p.","startPage":"N12","endPage":"N17","ipdsId":"IP-167106","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":490511,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","county":"Greenbrier County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -80.68536018022888,\n 38.049810886378964\n ],\n [\n -80.68536018022888,\n 37.74805186626564\n ],\n [\n -80.16191482096615,\n 37.74805186626564\n ],\n [\n -80.16191482096615,\n 38.049810886378964\n ],\n [\n -80.68536018022888,\n 38.049810886378964\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"32","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Welsh, Anna Marie 0009-0007-6570-0672","orcid":"https://orcid.org/0009-0007-6570-0672","contributorId":356811,"corporation":false,"usgs":true,"family":"Welsh","given":"Anna Marie","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":940131,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loughman, Zachary J.","contributorId":356812,"corporation":false,"usgs":false,"family":"Loughman","given":"Zachary J.","affiliations":[{"id":40096,"text":"West Liberty University","active":true,"usgs":false}],"preferred":false,"id":940132,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graham, Zackary A.","contributorId":356813,"corporation":false,"usgs":false,"family":"Graham","given":"Zackary A.","affiliations":[{"id":40096,"text":"West Liberty University","active":true,"usgs":false}],"preferred":false,"id":940133,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Henry, Paula F. P. 0000-0002-7601-5546 phenry@usgs.gov","orcid":"https://orcid.org/0000-0002-7601-5546","contributorId":4485,"corporation":false,"usgs":true,"family":"Henry","given":"Paula","email":"phenry@usgs.gov","middleInitial":"F. P.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":940134,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70269924,"text":"70269924 - 2025 - Integrating acoustic telemetry research into management: successes and challenges in the Laurentian Great Lakes","interactions":[],"lastModifiedDate":"2025-08-08T13:18:23.449413","indexId":"70269924","displayToPublicDate":"2025-05-15T11:22:53","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Integrating acoustic telemetry research into management: successes and challenges in the Laurentian Great Lakes","docAbstract":"

In the Laurentian Great Lakes, the application of acoustic telemetry to track fish movements has evolved into an important part of multijurisdictional management. Nevertheless, barriers remain in translating telemetry research into management or conservation actions. Here, we synthesize acoustic telemetry literature within the Great Lakes basin to explore factors that have contributed to successes and failures of integrating research with the needs of decision-making processes. Collaboration between researchers and managers, facilitated by consistent opportunities for stakeholder engagement, stood out as one of the most effective means of integration. For example, 79% (95 of 127) of articles published (up to 2023) included co-authorship by both government and academic organizations. Case studies on lake sturgeon (Acipenser fulvescens), walleye (Sander vitreus), and sea lamprey (Petromyzon marinus) further highlight how telemetry has informed management through collaborative engagement among researchers, stakeholders, and managers, as well as ongoing challenges. By exploring facets of acoustic telemetry research and connections to conservation and fisheries concerns, we identify pathways to reduce knowledge–action gaps widely applicable within and outside of the Great Lakes.

","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2024-0335","usgsCitation":"Klinard, N.V., Vandergoot, C.S., Briggs, A.S., Elliott, C.W., Faust, M.D., Fielder, D.G., Gorsky, D., Hartman, T., Holbrook, C., Isermann, D.A., Midwood, J.D., Siefkes, M.J., Justin VanDeHey, Wilfond, D., Wills, T.C., Zorn, T., Barbosa Martins, A.P., Oakley-Cogan, A., Fisk, A.T., and Matley, J.K., 2025, Integrating acoustic telemetry research into management: successes and challenges in the Laurentian Great Lakes: Canadian Journal of Fisheries and Aquatic Sciences, v. 80, p. 1-20, https://doi.org/10.1139/cjfas-2024-0335.","productDescription":"20 p.","startPage":"1","endPage":"20","ipdsId":"IP-172320","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":493727,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Laurentian 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white-tailed deer and evaluating its impact on chronic wasting disease spread in Wisconsin","interactions":[],"lastModifiedDate":"2025-05-23T15:29:29.683831","indexId":"70267435","displayToPublicDate":"2025-05-15T10:22:59","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1107,"text":"Bulletin of Mathematical Biology","active":true,"publicationSubtype":{"id":10}},"title":"Characterization of the long-distance dispersal kernel of white-tailed deer and evaluating its impact on chronic wasting disease spread in Wisconsin","docAbstract":"

Chronic wasting disease (CWD) is a fatal neurodegenerative disease infecting cervids. It is highly contagious and caused by misfolded prions that propagate via templated conformational conversion of the cervid’s normal prion protein. Prevalence of CWD in free-ranging deer in North America is mostly low, but in some regions local prevalence has reached 80%. CWD prions can be transmitted via direct contact with infected individuals or indirectly through the environment. Infected individuals shed prions through feces, urine, saliva or carcasses, and prions have long environmental persistence. Long-distance dispersal of infected deer poses a significant risk for CWD spread. We propose an integrodifference equation (IDE) model to capture CWD dynamics and the consequences of long-distance dispersal behavior in white-tailed deer (WTD, Odocoileus virginianus). A diffusion-settling model characterizes long-distance dispersal kernels, accommodating hypothetical dispersal behaviors through time-dependent settling rate functions. Three new closed-form dispersal kernels are approximated using Laplace’s method and parameterized with GPS location data collected from WTD in Wisconsin, USA. Settling rates reflecting ongoing sensitivity to stimuli which prompt deer to disperse from their natal home range give the most supported long-distance dispersal kernel. Impact of long-distance dispersal on CWD spread is quantified using the IDE model. At high population densities, long-distance dispersal can magnify CWD spread by a factor of four. At lower population densities single infected individuals cannot initiate an outbreak, but CWD may still spread due to the accumulation of environmental hazard from prions behind the wave of invasion, possibly presenting substantial management challenges.

","language":"English","publisher":"Springer","doi":"10.1007/s11538-024-01394-x","usgsCitation":"Mennatallah, G., Powell, J., McClure, J., Walsh, D.P., and Storm, D., 2025, Characterization of the long-distance dispersal kernel of white-tailed deer and evaluating its impact on chronic wasting disease spread in Wisconsin: Bulletin of Mathematical Biology, v. 87, 52, https://doi.org/10.1007/s11538-024-01394-x.","productDescription":"52","ipdsId":"IP-166201","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":486515,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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dwalsh@usgs.gov","orcid":"https://orcid.org/0000-0002-7772-2445","contributorId":4758,"corporation":false,"usgs":true,"family":"Walsh","given":"Daniel","email":"dwalsh@usgs.gov","middleInitial":"P.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":938193,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Storm, Daniel J.","contributorId":341059,"corporation":false,"usgs":false,"family":"Storm","given":"Daniel J.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":938194,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70270717,"text":"70270717 - 2025 - Genetic analysis of Missouri’s Topeka Shiners with implications for the propagation of understudied small-bodied freshwater fishes","interactions":[],"lastModifiedDate":"2025-08-22T16:54:17.790275","indexId":"70270717","displayToPublicDate":"2025-05-15T09:48:04","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Genetic analysis of Missouri’s Topeka Shiners with implications for the propagation of understudied small-bodied freshwater fishes","docAbstract":"

Objective

Best practices for conservation hatcheries to conserve genetic diversity and minimize adaptation to captivity have been established for decades, but how to apply them is not clear in every circumstance. As a growing number of aquatic species are propagated in captive settings, addressing the fit of these practices to each system will help managers operate optimally while conserving hatchery resources. Small-bodied freshwater fish present a unique set of traits compared with species that are typically considered for propagation (i.e., salmonids), including a patchy distribution within a watercourse. We examine the propagation and reintroduction program that supports the Topeka Shiner Miniellus topeka, an endangered minnow in the Midwestern USA.

Methods

We genotyped shiners from groups with different histories (two reintroduced, three captive, and two remnant populations) at 11 microsatellite loci and compared genetic diversity, genetic structure, effective population size, and evidence of population bottlenecks. We also looked at the breeding structure by genetically assigning hatchery-reared young (n = 148) to candidate parents.

Results

We documented high levels of genetic structure among the two natural populations in our study. We also noted lower diversity and evidence of bottlenecks in hatchery-reared groups. However, hatcheries may support sufficient (>50) effective population sizes with minimal space.

Conclusions

Hatcheries may avoid bottlenecks in other small-bodied freshwater fish by collecting wild fish from a broad area and frequently incorporating them into the captive population. Within the hatchery, we emphasize the need to reduce generational overlap by stocking all production fish and/or subdividing the captive populations.

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Technology","active":true,"usgs":false}],"preferred":false,"id":946887,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70267292,"text":"70267292 - 2025 - Spring 2025","interactions":[],"lastModifiedDate":"2025-11-17T14:58:27.792028","indexId":"70267292","displayToPublicDate":"2025-05-15T09:38:50","publicationYear":"2025","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":10521,"text":"RAMPS Newsletter","active":true,"publicationSubtype":{"id":30}},"title":"Spring 2025","docAbstract":"

No abstract available.

","language":"English","publisher":"U.S. Geological Survey","usgsCitation":"Shriver, L.C., 2025, Spring 2025: RAMPS Newsletter, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-179005","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":486211,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":486152,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.usgs.gov/centers/southwest-biological-science-center/news/ramps-newsletter-spring-2025","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Shriver, Laura Cecilia 0009-0008-5567-0868","orcid":"https://orcid.org/0009-0008-5567-0868","contributorId":334175,"corporation":false,"usgs":true,"family":"Shriver","given":"Laura","email":"","middleInitial":"Cecilia","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":937641,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70272049,"text":"70272049 - 2025 - Using peak geometry and shifts in the x-ray spectrum of carbon from electron probe microanalysis to determine thermal maturity of organic matter","interactions":[],"lastModifiedDate":"2025-11-14T16:17:17.657692","indexId":"70272049","displayToPublicDate":"2025-05-15T09:13:55","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1822,"text":"Geostandards and Geoanalytical Research","active":true,"publicationSubtype":{"id":10}},"title":"Using peak geometry and shifts in the x-ray spectrum of carbon from electron probe microanalysis to determine thermal maturity of organic matter","docAbstract":"

During the burial of mudstones, the associated organic matter undergoes gradual thermal maturation, a key process that can influence the reactivity of organic matter during catagenesis, the formation of hydrocarbon deposits and the chemical weathering of mudstones. Conventional methods for assessing the thermal maturity of organic matter often fail to reflect the geochemical heterogeneity between individual organic phases in mudstone samples. Here, we report an alternative, non-destructive, surficial and micro-scale (analytical spot size of ~ 300 nm with about 4 μm diffusion depth for micrometre-size organic grains) method to evaluate the thermal maturity of organic matter in mudstones using the carbon Kα X-ray spectrum measured by field emission-electron probe microanalyser (FE-EPMA). Using this method, we observed correlations between parameter values derived from FE-EPMA spectra, including the peak position, the peak area and the intra-sample heterogeneity of these measurements, and independently measured vitrinite/solid bitumen reflectance for a suite of mudstones, representing different age, geological context and burial depth. With the increased values in peak area and position, we identified an increase in the carbon mass fraction of organic matter and the mean nominal oxidation state of carbon approaching zero. These trends, which are consistent with aromatisation and graphitisation, provide the rationale for using FE-EPMA to estimate the thermal maturity of organic matter. To explore some of these trends in more detail, we employed time-of-flight secondary ionisation mass spectrometry, X-ray photoelectron spectroscopy and optical reflectance measurements on a subset of samples.

","language":"English","publisher":"Wiley","doi":"10.1111/ggr.12611","usgsCitation":"Zhou, H., Costin, G., Birdwell, J.E., Hackley, P.C., Minisini, D., Terlier, T., and Torres, M.A., 2025, Using peak geometry and shifts in the x-ray spectrum of carbon from electron probe microanalysis to determine thermal maturity of organic matter: Geostandards and Geoanalytical Research, v. 49, no. 3, p. 591-605, https://doi.org/10.1111/ggr.12611.","productDescription":"15 p.","startPage":"591","endPage":"605","ipdsId":"IP-166529","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":496492,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-05-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Zhou, Haolin","contributorId":289963,"corporation":false,"usgs":false,"family":"Zhou","given":"Haolin","email":"","affiliations":[],"preferred":false,"id":949851,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Costin, Gelu 0000-0003-3054-7886","orcid":"https://orcid.org/0000-0003-3054-7886","contributorId":269538,"corporation":false,"usgs":false,"family":"Costin","given":"Gelu","email":"","affiliations":[{"id":7173,"text":"Rice University","active":true,"usgs":false}],"preferred":false,"id":949852,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":949853,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":949854,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Minisini, Daniel","contributorId":343398,"corporation":false,"usgs":false,"family":"Minisini","given":"Daniel","affiliations":[{"id":82083,"text":"ExxonMobil Technology and Engineering","active":true,"usgs":false}],"preferred":false,"id":949855,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Terlier, Tanguy","contributorId":343399,"corporation":false,"usgs":false,"family":"Terlier","given":"Tanguy","affiliations":[{"id":82085,"text":"SIMS Lab, Shared Equipment Authority, Rice University","active":true,"usgs":false}],"preferred":false,"id":949856,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Torres, Mark A.","contributorId":362032,"corporation":false,"usgs":false,"family":"Torres","given":"Mark","middleInitial":"A.","affiliations":[{"id":7173,"text":"Rice University","active":true,"usgs":false}],"preferred":false,"id":949857,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70267457,"text":"70267457 - 2025 - Rapid recovery of an arctic lake ecosystem from a pulse disturbance caused by thermokarst failure","interactions":[],"lastModifiedDate":"2025-05-23T16:05:00.603621","indexId":"70267457","displayToPublicDate":"2025-05-15T09:00:50","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"Rapid recovery of an arctic lake ecosystem from a pulse disturbance caused by thermokarst failure","docAbstract":"

Due to rapid climate change, arctic ecosystems are experiencing an increase in disturbances including localized land-surface failures caused by melting ground ice (thermokarst failures). These failures result in the mass transport of sediment and organic materials into surface waters, with the potential to dramatically alter aquatic ecosystem function and biotic interactions. We coupled direct comparisons and long-term data of a suite of abiotic and biotic variables in a thermokarst-impacted lake and nearby reference lake to assess the impacts of thermokarst failure. After the thermokarst failure and relative to long-term averages, water transparency was substantially reduced. We hypothesized there would be subsequent changes to lower trophic levels and profound declines in fish foraging efficiency. However, these characteristics were within the range of natural variability and/or rapidly recovered to values within the range of long-term variability. In addition, although there was limited evidence of taxa-specific changes, we did not observe any strong changes in the total relative densities, growth rates, or composition of the bacterioplankton and zooplankton communities, benthic macroinvertebrates, or changes in fish diet, that could be attributed statistically to the thermokarst event. In sum, the thermokarst disturbance had substantial effects on water transparency and some lower trophic levels, which surprisingly were not manifested in higher trophic levels. Overall, the lake ecosystem appeared resistant to thermokarst disturbance with rapid recovery within two years after the disturbance.

","language":"English","publisher":"Springer Nature","doi":"10.1007/s00442-025-05681-9","collaboration":"Alaska Dept. of Fish and Game","usgsCitation":"Budy, P., Pennock, C., Messenger, S., Pehrson, H., Adler, E., Thiede, G., Christman, N.R., Crump, B.C., Giblin, A., and Kling, G., 2025, Rapid recovery of an arctic lake ecosystem from a pulse disturbance caused by thermokarst failure: Oecologia, v. 207, 82, 16 p., https://doi.org/10.1007/s00442-025-05681-9.","productDescription":"82, 16 p.","ipdsId":"IP-162860","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":487996,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00442-025-05681-9","text":"Publisher Index Page"},{"id":486523,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Toolik Lake","geographicExtents":"{\n \"type\": 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Aquatic ecosystems are losing oxygen due to climate change. This deoxygenation can favor microbial methylation of mercury (Hg). To understand the dynamics of Hg under increasing deoxygenation, we simultaneously quantified both Hg and hypoxia (< 2 mg O2/L) lifetime chronologies in fishes. We used a novel combination of chemical biomarkers in ear stones and eye lenses. We compared these markers in two species with different life histories, benthic Round Goby (Neogobius melanostomus) and semi-demersal Yellow Perch (Perca flavescens), from two connected ecosystems with different levels of hypoxia: the Central Basin of Lake Erie and the less hypoxic but more polluted Western Basin. Overall, Central Basin Round Goby were exposed to hypoxia throughout their lifetime and exhibited significantly elevated eye lens Hg concentrations ([Hg]) compared to their Western Basin counterparts. In contrast, the Central Basin Yellow Perch were exposed to hypoxia only at their juvenile stage. Central Basin Yellow Perch exhibited significantly lower eye lens [Hg] compared to their Western Basin counterparts. Patterns revealed by eye lens [Hg] were not detectable in muscle tissue [Hg]. Findings show that exposure to hypoxia can alter fish lifetime Hg accumulation patterns, with species-specific outcomes.

","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2024-0235","usgsCitation":"Miraly, H., Razavi, N.R., Kraus, R., Gorman, A., Duskey, E., Altenritter, M., and Limburg, K., 2025, Using complementary biomarkers to unravel fish lifetime exposure to hypoxia and mercury: Canadian Journal of Fisheries and Aquatic Sciences, v. 82, p. 1-12, https://doi.org/10.1139/cjfas-2024-0235.","productDescription":"12 p.","startPage":"1","endPage":"12","ipdsId":"IP-160319","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":502660,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External Repository"},{"id":489693,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"central and western basins of Lake Erie","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -79.89516329987413,\n 42.22922395564774\n ],\n [\n -80.31876949997724,\n 42.723196642933516\n ],\n [\n -80.56436204497173,\n 42.586172322716635\n ],\n [\n -80.85406530581916,\n 42.6475830324963\n ],\n [\n -81.23686023317622,\n 42.669037962594786\n ],\n [\n -81.54383543092807,\n 42.558792951461854\n ],\n [\n -81.79650715654992,\n 42.38566818477545\n ],\n [\n -81.83639227525022,\n 42.24548812681907\n ],\n [\n -82.03960905303965,\n 42.24430434515543\n ],\n [\n -82.22731055307747,\n 42.1856734329775\n ],\n [\n -82.45380024749375,\n 42.08677033038843\n ],\n [\n -82.50186424776832,\n 41.90146334011604\n ],\n [\n -82.65573447223925,\n 42.02901910499938\n ],\n [\n -82.89493872434342,\n 41.98357513899583\n ],\n [\n -83.13673924284132,\n 42.03102328099084\n ],\n [\n -83.33214738082043,\n 41.94305439608826\n ],\n [\n -83.41607606516274,\n 41.82723540573549\n ],\n [\n -83.42242836074821,\n 41.71141641538273\n ],\n [\n -82.5219858387644,\n 41.35739468311547\n ],\n [\n -81.99215115587265,\n 41.519201708215675\n ],\n [\n -81.83196193924863,\n 41.47224610549724\n ],\n [\n -81.70280327812782,\n 41.52988864684306\n ],\n [\n -81.2586233923877,\n 41.78108885460402\n ],\n [\n -80.42561938805427,\n 41.993498193411206\n ],\n [\n -79.89516329987413,\n 42.22922395564774\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"82","noUsgsAuthors":false,"publicationDate":"2025-05-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Miraly, Hadis","contributorId":356364,"corporation":false,"usgs":false,"family":"Miraly","given":"Hadis","affiliations":[{"id":33387,"text":"SUNY-ESF","active":true,"usgs":false}],"preferred":false,"id":939202,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Razavi, N. 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This principle, central to the pulse-reserve paradigm, has not been thoroughly evaluated in biological soil crusts (biocrusts), essential primary producers on dryland surfaces. We conducted two experiments to investigate carbon uptake in biocrusts under different precipitation regimes. In the first, we applied a gradient of watering amounts to biocrusts dominated by moss or cyanobacteria, hypothesising distinct pulse-response strategies. The second experiment extended watering treatments over three months, varying pulse size and frequency. Our results revealed distinct carbon uptake patterns: moss crusts exhibited increased CO2 uptake with larger, less frequent watering events, whereas cyanobacteria crusts maintained similar carbon uptake across all event sizes. These findings suggest divergent pulse-response strategies across biocrust types, with implications for modelling dryland carbon dynamics and informing land management under changing precipitation regimes.","language":"English","publisher":"Wiley","doi":"10.1111/ele.70125","usgsCitation":"Young, K., Sala, O.E., Darrouzet-Nardi, A., Tucker, C.L., Finger-Higgens, R.A., Starbuck, M., and Reed, S., 2025, Biocrust mosses and cyanobacteria exhibit distinct carbon uptake responses to variations in precipitation amount and frequency: Ecology Letters, v. 28, no. 5, e70125, 10 p., https://doi.org/10.1111/ele.70125.","productDescription":"e70125, 10 p.","ipdsId":"IP-171245","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":489080,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/2566615","text":"External Repository"},{"id":486154,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Colorado Plateau, southeastern Utah","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.03847502985644,\n 38.34758364168215\n ],\n [\n -111.03847502985644,\n 37.01866208836557\n ],\n [\n -109.01970607796514,\n 37.01866208836557\n ],\n [\n -109.01970607796514,\n 38.34758364168215\n ],\n [\n -111.03847502985644,\n 38.34758364168215\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"28","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-05-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Young, Kristina E.","contributorId":195945,"corporation":false,"usgs":false,"family":"Young","given":"Kristina E.","affiliations":[],"preferred":false,"id":937537,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sala, Osvaldo E.","contributorId":139047,"corporation":false,"usgs":false,"family":"Sala","given":"Osvaldo","email":"","middleInitial":"E.","affiliations":[{"id":12629,"text":"Arizona State University, Tempe, AZ (DETAIL TO BE ADDED)","active":true,"usgs":false}],"preferred":false,"id":937538,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Darrouzet-Nardi, Anthony adarrouzet-nardi@usgs.gov","contributorId":207292,"corporation":false,"usgs":false,"family":"Darrouzet-Nardi","given":"Anthony","email":"adarrouzet-nardi@usgs.gov","affiliations":[],"preferred":false,"id":937539,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tucker, Colin L","contributorId":270737,"corporation":false,"usgs":false,"family":"Tucker","given":"Colin","email":"","middleInitial":"L","affiliations":[{"id":56205,"text":"U.S. National Forest Service, Northern Research Station, Houghton, MI 49931","active":true,"usgs":false}],"preferred":false,"id":937540,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Finger-Higgens, Rebecca A 0000-0002-7645-504X","orcid":"https://orcid.org/0000-0002-7645-504X","contributorId":290211,"corporation":false,"usgs":true,"family":"Finger-Higgens","given":"Rebecca","email":"","middleInitial":"A","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":937541,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Starbuck, Megan Elyse 0000-0002-1363-6994","orcid":"https://orcid.org/0000-0002-1363-6994","contributorId":355528,"corporation":false,"usgs":true,"family":"Starbuck","given":"Megan Elyse","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":937542,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"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":937543,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70266895,"text":"ofr20241070 - 2025 - Calibration of the Stream Salmonid Simulator (S3) model to estimate annual survival, movement, and food consumption by juvenile Chinook salmon (Oncorhynchus tshawytscha) in the restoration reach of the Trinity River, California, 2006–18","interactions":[],"lastModifiedDate":"2025-05-16T14:44:27.229198","indexId":"ofr20241070","displayToPublicDate":"2025-05-15T07:39:36","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-1070","displayTitle":"Calibration of the Stream Salmonid Simulator (S3) Model to Estimate Annual Survival, Movement, and Food Consumption by Juvenile Chinook Salmon (Oncorhynchus tshawytscha) in the Restoration Reach of the Trinity River, California, 2006–18","title":"Calibration of the Stream Salmonid Simulator (S3) model to estimate annual survival, movement, and food consumption by juvenile Chinook salmon (Oncorhynchus tshawytscha) in the restoration reach of the Trinity River, California, 2006–18","docAbstract":"

Executive Summary

The Trinity River is managed in two sections: (1) from the upper 64-kilometer “restoration reach” downstream from Lewiston Dam to the confluence with the North Fork Trinity River, and (2) the 120-kilometer lower Trinity River downstream from the restoration reach. The Stream Salmonid Simulator (S3) has been previously applied to these reaches and the Klamath River. To estimate fish growth, past S3 calibration efforts in the Trinity and Klamath Rivers used maximum likelihood methods that considered only the abundance of juvenile Chinook salmon (Oncorhynchus tshawytscha) passing a fish trap to estimate survival and movement parameters, but not fish consumption. Previous calibrations did not estimate the average proportion of maximum consumption (Cy) when estimating survival (Sy) and movement (M0y) parameters across years (y) of data, but because no other information was available in the literature a fixed value of Cy=0.66 was assumed. Therefore, the goal of this report is to present an alternative approach that calibrates the S3 model to multivariate data (that is, abundance and size), enabling the estimation of the average proportion of maximum consumption, in conjunction with survival and movement parameters for a particular migration year. We fit the S3 model to individual years of weekly trap abundance estimates and mean fish sizes (fork length) at the Pear Tree Gulch (hereafter referred to as Pear Tree) fish trap representing the restoration reach. We used the Earth Mover’s Distance (EMD) as the objective value to be minimized in parameter optimization. This approach estimated survival, movement, and consumption parameters for each migration year. Because we had information on the abundance of natural and hatchery produced juvenile salmon at the fish traps, we estimated survival and movement for natural and hatchery fish.

S3 is a deterministic life-stage-structured population model that tracks daily growth, movement, and survival of juvenile Chinook Salmon. A key theme of the model is that river discharge affects habitat availability and capacity, which in turn drives density-dependent population dynamics. To explicitly link population dynamics to habitat quality and quantity, the river environment is constructed as a one-dimensional series of linked habitat units, each of which has an associated daily timeseries of discharge, water temperature, and useable habitat area or carrying capacity. In turn, the physical characteristics of each habitat unit and the number of fish occupying each unit drive survival and growth within each habitat unit and movement of fish among habitat units.

The physical template of the restoration reach of the Trinity River was classified into 356 meso-habitat units comprised of runs, riffles, and pools. For each habitat unit, we developed a timeseries of daily discharge, water temperature, amount of available spawning habitat, and fry and parr carrying capacity. Capacity time series were constructed using state-of-the-art models of spatially explicit hydrodynamics and quantitative fish habitat relationships developed for the Trinity River. These variables were then used to drive population dynamics such as egg maturation and survival, and in turn, juvenile movement, growth, and survival.

We estimated movement, survival, and consumption parameters by calibrating the model to 12 years of weekly juvenile abundance estimates and fish sizes at the Pear Tree fish trap near the downstream end of the restoration reach. We estimated parameters for 12 years that included a wide range of female spawner abundances (1,414–11,494) and water year types (critically dry–extremely wet). We contrast the estimated parameters to the corresponding number of female spawners and the total annual volume of water discharged for the Trinity River (Trinity River Restoration Program; https://www.trrp.net/restoration/flows/summary/).

The calibration consisted of replicating historical conditions as closely as possible (for example, discharge; temperature; spawner abundance, spawning location and timing, and hatchery releases), and then running the model to predict weekly abundance passing the trap location from each brood year of adults and subsequent migration year of their juvenile progeny. Because density-dependent movement was favored in past evaluations, we estimated S3 parameters based on density-independent survival and density-dependent movement. Likewise, each year’s estimated survival parameter for natural (SNy) and hatchery (SHy) fish may be interpreted as the mean daily survival probability from emergence or hatchery release to the Pear Tree fish trap. Under density dependence, the estimated movement parameter for natural (M0Ny) and hatchery (M0Hy) fish represents the intercept of the Beverton-Holt model; the probability of remaining in a habitat at near-zero abundance.

We estimated Cy by using EMD and incorporating abundance and fish size into model calibration. Average daily proportions of maximum consumption, , across the years were generally high (=0.640; standard deviation (SD) SD=0.176), suggesting that fish were feeding at about two-thirds of expected maximum consumption rates. This average proportion of maximum consumption,is very similar to what has been assumed (=0.66) in previous Trinity and Klamath River S3 calibration and simulation efforts. In 2017, we estimated the lowest Cy, suggesting lower average consumption for juvenile salmon in high-discharge water years. When this high discharge year was excluded, there was no apparent trend in Cy with annual water volume. Estimates of survival showed little trend over the range in spawner abundances, but a trend towards higher natural and hatchery fish survival with higher annual volumes of water was apparent. Over the 12 years, the average survival of hatchery fish was =0.888 (SD=0.079) and the average survival natural fish was=0.969 (SD=0.01).

With respect to fish movement, we estimated higher M0Ny and M0Hy with higher annual volumes of water in the Trinity River. Higher MN0y or MH0y suggest greater probability of remaining in a habitat at low fish densities, with potential for density-dependent processes in movement to occur. The highest M0Ny = 0.676 was estimated during brood year 2012, and the overall average for natural fish was =0.276 (SD=0.188) and for hatchery fish was=0.467 (SD=0.235). Under the Beverton-Holt model, as M0Ny or M0Hy approach zero, there is less capacity for change in fish movement as fish density increases.

The S3 model was initialized with only the spatiotemporal distribution of spawners, so it performed well at capturing the essential outmigration features that are ultimately governed by rates of growth, movement, and mortality. We used a new optimization method that could accommodate multivariate data on abundance and fish size collected at the Pear Tree fish trap, enabling the calibration of S3 to estimate five parameters for 12 separate years of data. Incorporating weekly fish size data for each year in our parameter optimization process made the estimation of Cy possible and represents a step forward in the fitting of the S3 model to fish trap data for the purposes of parameter calibration and the estimation of growth parameters with respect to annual conditions. We identified lack of fit and adding important effects into the S3 model may improve the S3 estimation and simulation of water scenarios.

The Trinity River Restoration Program (TRRP) Science Advisory Board recommended that the TRRP focus on developing core elements of a decision support system (DSS; Buffington and others, 2014). Toward that end, the habitat and S3 models described in this report are both core elements of the DSS. The structure of S3 makes it a particularly useful fish production model for the DSS because population dynamics are sensitive to (1) water temperature, (2) daily discharge management, and (3) habitat quality and quantity. Each of these variables are key management parameters under consideration in the TRRP. As such, the S3 model may provide valuable insights into the potentially variable effects of different management decisions on the Trinity River.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241070","collaboration":"Prepared in cooperation with U.S. Bureau of Reclamation","usgsCitation":"Plumb, J.M., Perry, R.W., and De Juilio, K., 2025, Calibration of the Stream Salmonid Simulator (S3) model to estimate annual survival, movement, and food consumption by juvenile Chinook salmon (Oncorhynchus tshawytscha) in the restoration reach of the Trinity River, California, 2006–18: U.S. Geological Survey Open-File Report 2024–1070, 21 p., https://doi.org/10.3133/ofr20241070.","productDescription":"vii, 22 p.","onlineOnly":"Y","ipdsId":"IP-156648","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":485969,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1070/images"},{"id":485968,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241070/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2024-1070"},{"id":485967,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1070/ofr20241070.pdf","text":"Report","size":"7.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024-1070"},{"id":485966,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1070/coverthb.jpg"},{"id":485970,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1070/ofr20241070.XML"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.1406578585185,\n 40.785753827016435\n ],\n [\n -123.1406578585185,\n 40.69151845163566\n ],\n [\n -122.79146166523228,\n 40.69151845163566\n ],\n [\n -122.79146166523228,\n 40.785753827016435\n ],\n [\n -123.1406578585185,\n 40.785753827016435\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, Western Fisheries Research Center
U.S. Geological Survey
6505 NE 65th Street
Seattle, Washington 98115-5016

","tableOfContents":"","publishedDate":"2025-05-15","noUsgsAuthors":false,"publicationDate":"2025-05-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Plumb, John M. 0000-0003-4255-1612 jplumb@usgs.gov","orcid":"https://orcid.org/0000-0003-4255-1612","contributorId":3569,"corporation":false,"usgs":true,"family":"Plumb","given":"John","email":"jplumb@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":937080,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":937081,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"De Juilio, Kyle","contributorId":203918,"corporation":false,"usgs":false,"family":"De Juilio","given":"Kyle","affiliations":[{"id":36756,"text":"Yurok Tribal Fisheries Program, Weaverville, CA 96093","active":true,"usgs":false}],"preferred":false,"id":937082,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70267254,"text":"70267254 - 2025 - New technology for an ancient fish: A lamprey life cycle modeling tool with an R Shiny application","interactions":[{"subject":{"id":70261145,"text":"70261145 - 2024 - New technology for an ancient fish: A lamprey life cycle modeling tool with an R Shiny application","indexId":"70261145","publicationYear":"2024","noYear":false,"title":"New technology for an ancient fish: A lamprey life cycle modeling tool with an R Shiny application"},"predicate":"SUPERSEDED_BY","object":{"id":70267254,"text":"70267254 - 2025 - New technology for an ancient fish: A lamprey life cycle modeling tool with an R Shiny application","indexId":"70267254","publicationYear":"2025","noYear":false,"title":"New technology for an ancient fish: A lamprey life cycle modeling tool with an R Shiny application"},"id":1}],"lastModifiedDate":"2025-05-19T17:24:44.101101","indexId":"70267254","displayToPublicDate":"2025-05-14T10:21:33","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"New technology for an ancient fish: A lamprey life cycle modeling tool with an R Shiny application","docAbstract":"

Lampreys (Petromyzontiformes) are an ancient group of fishes with complex life histories. We created a life cycle model that includes an R Shiny interactive web application interface to simulate abundance by life stage. This will allow scientists and managers to connect available demographic information in a framework that can be applied to questions regarding lamprey biology and conservation. We used Pacific lamprey (Entosphenus tridentatus) as a case study to highlight the utility of this model. We applied a global sensitivity analysis to explore the importance of individual life stage parameters to overall population size, and to better understand the implications of existing gaps in knowledge. We also provided example analyses of selected management scenarios (dam passage, fish translocations, and hatchery additions) influencing Pacific lamprey in fresh water. These applications illustrate how the model can be applied to inform conservation efforts. This tool will provide new capabilities for users to explore their own questions about lamprey biology and conservation. Simulations can hone hypotheses and predictions, which can then be empirically tested in the real world.

","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0323408","usgsCitation":"Gomes, D.G., Benjamin, J.R., Clemens, B.J., Lampman, R., and Dunham, J., 2025, New technology for an ancient fish: A lamprey life cycle modeling tool with an R Shiny application: PLoS ONE, v. 20, no. 5, e0323408, 25 p., https://doi.org/10.1371/journal.pone.0323408.","productDescription":"e0323408, 25 p.","ipdsId":"IP-172919","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":489170,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0323408","text":"Publisher Index Page"},{"id":486169,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-05-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Gomes, Dylan Gerald-Everett 0000-0002-2642-3728","orcid":"https://orcid.org/0000-0002-2642-3728","contributorId":346160,"corporation":false,"usgs":true,"family":"Gomes","given":"Dylan","email":"","middleInitial":"Gerald-Everett","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":937518,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benjamin, Joseph R. 0000-0003-3733-6838 jbenjamin@usgs.gov","orcid":"https://orcid.org/0000-0003-3733-6838","contributorId":3999,"corporation":false,"usgs":true,"family":"Benjamin","given":"Joseph","email":"jbenjamin@usgs.gov","middleInitial":"R.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":937519,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clemens, Benjamin J.","contributorId":195098,"corporation":false,"usgs":false,"family":"Clemens","given":"Benjamin","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":937520,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lampman, Ralph","contributorId":215233,"corporation":false,"usgs":false,"family":"Lampman","given":"Ralph","email":"","affiliations":[],"preferred":true,"id":937521,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dunham, Jason 0000-0002-6268-0633","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":220078,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":937522,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70267437,"text":"70267437 - 2025 - Regional analysis of the dependence of peak-flow quantiles on climate with application to adjustment to climate trends","interactions":[],"lastModifiedDate":"2025-05-23T15:07:59.713754","indexId":"70267437","displayToPublicDate":"2025-05-14T10:05:31","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10778,"text":"Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Regional analysis of the dependence of peak-flow quantiles on climate with application to adjustment to climate trends","docAbstract":"

Standard flood-frequency analysis methods rely on an assumption of stationarity, but because of growing understanding of climatic persistence and concern regarding the effects of climate change, the need for methods to detect and model nonstationary flood frequency has become widely recognized. In this study, a regional statistical method for estimating the effects of climate variations on annual maximum (peak) flows that allows for the effect to vary by quantile is presented and applied. The method uses a panel–quantile regression framework based on a location-scale model with two fixed effects per basin. The model was fitted to 330 selected gauged basins in the midwestern United States, filtered to remove basins affected by reservoir regulation and urbanization. Precipitation and discharge simulated using a water-balance model at daily and annual time scales were tested as climate variables. Annual maximum daily discharge was found to be the best predictor of peak flows, and the quantile regression coefficients were found to depend monotonically on annual exceedance probability. Application of the models to gauged basins is demonstrated by estimating the peak-flow distributions at the end of the study period (2018) and, using the panel model, to the study basins as-if-ungauged by using leave-one-out cross validation, estimating the fixed effects using static basin characteristics, and parameterizing the water-balance model discharge using median parameters. The errors of the quantiles predicted as-if-ungauged approximately doubled compared to the errors of the fitted panel model.

","language":"English","publisher":"MDPI","doi":"10.3390/hydrology12050119","usgsCitation":"Over, T.M., Marti, M.K., and Podzorski, H.L., 2025, Regional analysis of the dependence of peak-flow quantiles on climate with application to adjustment to climate trends: Hydrology, v. 12, no. 5, 119, 43 p., https://doi.org/10.3390/hydrology12050119.","productDescription":"119, 43 p.","ipdsId":"IP-167316","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":487957,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/hydrology12050119","text":"Publisher Index Page"},{"id":486509,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-05-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Over, Thomas M. 0000-0001-8280-4368","orcid":"https://orcid.org/0000-0001-8280-4368","contributorId":204650,"corporation":false,"usgs":true,"family":"Over","given":"Thomas","email":"","middleInitial":"M.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":938195,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marti, Mackenzie K. 0000-0001-8817-4969 mmarti@usgs.gov","orcid":"https://orcid.org/0000-0001-8817-4969","contributorId":289738,"corporation":false,"usgs":true,"family":"Marti","given":"Mackenzie","email":"mmarti@usgs.gov","middleInitial":"K.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":938196,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Podzorski, Hannah Lee 0000-0001-5204-2606 hpodzorski@usgs.gov","orcid":"https://orcid.org/0000-0001-5204-2606","contributorId":333626,"corporation":false,"usgs":true,"family":"Podzorski","given":"Hannah","email":"hpodzorski@usgs.gov","middleInitial":"Lee","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":938197,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70271181,"text":"70271181 - 2025 - The Hardscrabble Creek complex: A newly discovered, mostly buried, Mesoproterozoic mafic-ultramafic pluton in the Wet Mountains, Colorado, USA","interactions":[],"lastModifiedDate":"2025-09-02T14:49:24.55281","indexId":"70271181","displayToPublicDate":"2025-05-14T09:44:44","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"The Hardscrabble Creek complex: A newly discovered, mostly buried, Mesoproterozoic mafic-ultramafic pluton in the Wet Mountains, Colorado, USA","docAbstract":"

The origin of prolific ca. 1.4 Ga ferroan magmatism between the southwestern USA and eastern Canada is enigmatic and has been explained by various models, including extensional, mantle plume, and convergent plate-margin models. Rare mafic plutons are associated with the ferroan plutons, which may help constrain their mantle source and tectonic setting. In the southwestern USA, only two such mafic plutons are known to exist. We present the first evidence for a third, mostly buried, potentially layered, mafic-ultramafic Mesoproterozoic pluton, informally referred to as the Hardscrabble Creek complex, in the central Wet Mountains of Colorado, USA. Recent geophysical data show an elliptical magnetic and gravity high spatially coincident with local gabbroic outcrops. New field and petrographic analyses of these exposed rocks reveal that they consist of ultramafic to mafic cumulates, including orthopyroxenite, olivine norite, norite, and anorthosite. High-precision U-Pb dating of zircon from orthopyroxenite and norite yield weighted mean 206Pb/238U dates of 1352.36 ± 1.60 Ma and 1352.37 ± 1.71 Ma, respectively. These dates indicate that the complex formed over a narrow timeframe, after the adjacent 1362 ± 7 Ma ferroan San Isabel Granite, and during the waning stages of the regional ca. 1.4 Ga ferroan magmatism. Whole-rock geochemistry and Nd-Sr-Pb isotope compositions of samples from the Hardscrabble Creek complex are similar to those of the San Isabel Granite, suggesting that they were derived from the same or a similar mantle source. The mineral chemistry of the samples is comparable to Proterozoic massif-type anorthosites and related mafic intrusions, indicating that the Hardscrabble Creek complex and San Isabel Granite together represent a rare anorthosite-mangerite-charnockite-granite (AMCG) suite in the southwestern USA. The Hardscrabble Creek complex is unique because it formed ~80 m.y. after the other few mafic plutons in the southwestern USA, and it contains an ultramafic section that is absent from these plutons and rare to the AMCG suite in general. A combination of arc-like whole-rock geochemistry, chondrite uniform reservoir-like Nd-Sr-Pb isotopes, and ocean island basalt (OIB)-like zircon trace element chemistry suggests that the complex was derived from a partial melt of OIB-like mantle and interacted with metasomatically enriched lithospheric mantle. The enriched lithospheric mantle signature, combined with the long ~160 m.y. duration of magmatism in the region, is consistent with a period of protracted convergent tectonism.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/B37903.1","usgsCitation":"Magnin, B.P., Brake, S.S., Kuiper, Y., Mohr, M.T., and Hanson, R.E., 2025, The Hardscrabble Creek complex: A newly discovered, mostly buried, Mesoproterozoic mafic-ultramafic pluton in the Wet Mountains, Colorado, USA: GSA Bulletin, v. 137, no. 9-10, p. 4558-4574, https://doi.org/10.1130/B37903.1.","productDescription":"17 p.","startPage":"4558","endPage":"4574","ipdsId":"IP-168096","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":495119,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Wet Mountains","volume":"137","issue":"9-10","noUsgsAuthors":false,"publicationDate":"2025-05-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Magnin, Benjamin Patrick 0000-0001-9951-4404","orcid":"https://orcid.org/0000-0001-9951-4404","contributorId":300679,"corporation":false,"usgs":true,"family":"Magnin","given":"Benjamin","email":"","middleInitial":"Patrick","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":947668,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brake, Sandra S.","contributorId":360805,"corporation":false,"usgs":false,"family":"Brake","given":"Sandra","middleInitial":"S.","affiliations":[{"id":17777,"text":"Indiana State University","active":true,"usgs":false}],"preferred":false,"id":947669,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kuiper, Yvette 0000-0002-8506-8180","orcid":"https://orcid.org/0000-0002-8506-8180","contributorId":299649,"corporation":false,"usgs":false,"family":"Kuiper","given":"Yvette","email":"","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":947670,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mohr, Michael T. 0009-0001-3814-6908","orcid":"https://orcid.org/0009-0001-3814-6908","contributorId":360807,"corporation":false,"usgs":false,"family":"Mohr","given":"Michael","middleInitial":"T.","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":947671,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hanson, Richard E.","contributorId":360809,"corporation":false,"usgs":false,"family":"Hanson","given":"Richard","middleInitial":"E.","affiliations":[{"id":25471,"text":"Texas Christian University","active":true,"usgs":false}],"preferred":false,"id":947672,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70266921,"text":"70266921 - 2025 - Crustal to mantle melt storage during the evolution of Hawaiian volcanoes","interactions":[],"lastModifiedDate":"2025-05-15T14:45:07.787334","indexId":"70266921","displayToPublicDate":"2025-05-14T09:42:04","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17983,"text":"ScienceAdvances","active":true,"publicationSubtype":{"id":10}},"title":"Crustal to mantle melt storage during the evolution of Hawaiian volcanoes","docAbstract":"

As the Pacific Plate migrates over the mantle plume below Hawaiʻi, magma flux decreases, resulting in changes in eruptive volume, style, and composition. It is thought that melt storage becomes deeper and ephemeral with the transition from highly voluminous tholeiitic (shield stage) to the less voluminous alkaline (post-shield and rejuvenation stages) magmatism. To quantitatively test this, we applied high-precision fluid inclusion barometry via Raman spectroscopy to samples from representative volcanoes of different evolutionary stages. This suggests an evolution from shield-stage shallow magma storage (~1 to 2 kilometers) for Kīlauea to a post-shield stage that includes crustal magma storage within the volcanic edifice (~2 kilometers) and deeper storage below the Moho (~20 to 27 kilometers) for Haleakalā. The rejuvenation stage (Diamond Head) displays mantle-dominated storage (~22 to 30 kilometers). High melt fluxes likely form stable conduits from the mantle to a shallow reservoir in the shield volcanoes. As melt flux decreases, the Moho becomes the boundary controlling melt stagnation and evolution.

","language":"English","publisher":"AAAS","doi":"10.1126/sciadv.adu9332","usgsCitation":"Gazel, E., Dayton, K., Liang, W., Hua, J., Lynn, K.J., and Hammer, J.E., 2025, Crustal to mantle melt storage during the evolution of Hawaiian volcanoes: ScienceAdvances, v. 11, no. 20, eadu9332, 9 p., https://doi.org/10.1126/sciadv.adu9332.","productDescription":"eadu9332, 9 p.","ipdsId":"IP-169266","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":488595,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.adu9332","text":"Publisher Index Page"},{"id":485992,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -154.9009775447594,\n 19.40461006158526\n ],\n [\n -156.27601944841055,\n 21.007903994893113\n ],\n [\n -158.0174647335733,\n 21.567955198381554\n ],\n [\n -158.09568568018813,\n 21.42239413562342\n ],\n [\n -156.35012350309827,\n 20.650055964686672\n ],\n [\n -155.2838484939797,\n 19.237554035059546\n ],\n [\n -154.9009775447594,\n 19.40461006158526\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"11","issue":"20","noUsgsAuthors":false,"publicationDate":"2025-05-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Gazel, Esteban","contributorId":192876,"corporation":false,"usgs":false,"family":"Gazel","given":"Esteban","email":"","affiliations":[],"preferred":false,"id":937138,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dayton, Kyle","contributorId":355206,"corporation":false,"usgs":false,"family":"Dayton","given":"Kyle","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":937139,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liang, Wenwei","contributorId":355207,"corporation":false,"usgs":false,"family":"Liang","given":"Wenwei","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":937140,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hua, Junlin","contributorId":355208,"corporation":false,"usgs":false,"family":"Hua","given":"Junlin","affiliations":[{"id":16929,"text":"Brown University","active":true,"usgs":false}],"preferred":false,"id":937141,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lynn, Kendra J. 0000-0001-7886-4376","orcid":"https://orcid.org/0000-0001-7886-4376","contributorId":290327,"corporation":false,"usgs":true,"family":"Lynn","given":"Kendra","email":"","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":937142,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hammer, Julia E.","contributorId":174787,"corporation":false,"usgs":false,"family":"Hammer","given":"Julia","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":937143,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70269366,"text":"70269366 - 2025 - Genetic connectivity in a cooperatively breeding carnivore between two protected areas","interactions":[],"lastModifiedDate":"2025-07-22T13:26:31.181174","indexId":"70269366","displayToPublicDate":"2025-05-14T09:37:05","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Genetic connectivity in a cooperatively breeding carnivore between two protected areas","docAbstract":"

Wildlife populations are increasingly threatened by human activities. Most studies, however, are often short in duration or do not encompass the large spatial extent necessary to measure the potential effects of human activities on population vital rates. Furthermore, the life history features of species with high fecundity and excellent dispersal capabilities can act as buffers against the potential negative effects of human activities on their populations. We used a 30-year dataset of genetic samples from gray wolves (Canis lupus) in Alaska, USA, to examine genetic connectivity and diversity between National Park units separated by a region with recurrent human-caused mortality. We found that the two protected populations were genetically similar and that dispersal events occurred between them even though they are > 450 km apart. We posit that intact ecosystems and a history of continuous distribution of wolves surrounding the affected regions likely maintained the genetic connectivity of wolves in the two protected areas.

","language":"English","publisher":"Wiley","doi":"10.1002/ece3.71420","usgsCitation":"Cerreta, A., Adams, J., Borg, B., Sorum, M., Waits, L., and Ausband, D.E., 2025, Genetic connectivity in a cooperatively breeding carnivore between two protected areas: Ecology and Evolution, v. 15, no. 5, e71420, 10 p., https://doi.org/10.1002/ece3.71420.","productDescription":"e71420, 10 p.","ipdsId":"IP-158851","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":492874,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.71420","text":"Publisher Index Page"},{"id":492626,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Denali National Park and Preserve, Yukon- Charley Rivers National Preserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -148.7512872450975,\n 64.07437550215425\n ],\n [\n -153.00052847916817,\n 64.07437550215425\n ],\n [\n -153.00052847916817,\n 62.276194894069874\n ],\n [\n -148.7512872450975,\n 62.276194894069874\n ],\n [\n -148.7512872450975,\n 64.07437550215425\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -141.0182219902975,\n 65.5653487163298\n ],\n [\n -144.37903864723086,\n 65.5653487163298\n ],\n [\n -144.37903864723086,\n 64.4468015781325\n ],\n [\n -141.0182219902975,\n 64.4468015781325\n ],\n [\n -141.0182219902975,\n 65.5653487163298\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-05-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Cerreta, Ariana L.","contributorId":358318,"corporation":false,"usgs":false,"family":"Cerreta","given":"Ariana L.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":943537,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, Jennifer R.","contributorId":358321,"corporation":false,"usgs":false,"family":"Adams","given":"Jennifer R.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":943539,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Borg, Bridget L.","contributorId":358323,"corporation":false,"usgs":false,"family":"Borg","given":"Bridget L.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":943540,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sorum, Mathew S.","contributorId":358326,"corporation":false,"usgs":false,"family":"Sorum","given":"Mathew S.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":943541,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Waits, Lisette P.","contributorId":358329,"corporation":false,"usgs":false,"family":"Waits","given":"Lisette P.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":943542,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ausband, David Edward 0000-0001-9204-9837","orcid":"https://orcid.org/0000-0001-9204-9837","contributorId":275329,"corporation":false,"usgs":true,"family":"Ausband","given":"David","email":"","middleInitial":"Edward","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":943538,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70269288,"text":"70269288 - 2025 - Controls on water quality below a reclaimed surface coal mine, southeastern Montana","interactions":[],"lastModifiedDate":"2025-07-17T14:06:57.223082","indexId":"70269288","displayToPublicDate":"2025-05-14T08:59:38","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Controls on water quality below a reclaimed surface coal mine, southeastern Montana","docAbstract":"

Coal mining and reclamation can have a profound influence on hydrogeologic systems, with clear consequences for groundwater quality, yet their long-term influence on downgradient water quality over time following reclamation is less well documented. Geochemical trends were evaluated in water quality downgradient of a fully reclaimed landscape at the former Big Sky Mine in the Rosebud Creek watershed (southeastern Montana, USA), over a 3-year period (2020–2022), including bond release in 2022. Within 6 km downgradient from the reclaimed area, sulfate concentrations decreased from approximately 3500 to 1800 mg l−1 within the Miller Coulee alluvial aquifer. Major ions, δ34SSO4 values, and residence time tracers suggest that the observed decreases in sulfate concentration result from a combination of dilution by mixed-age inflows and incomplete transit of the high salinity plume from the mine boundary. Both bedrock and alluvial aquifers of the Rosebud Creek corridor contained contributions of millennia-old regional groundwater, which may serve to mitigate mine-derived high salinity waters. Rosebud Creek, which traverses the outflow zone of Miller Coulee in the study area, exhibited high sulfate concentrations during low flows and consistent downgradient increases in sulfate concentration. The possibility of plume dynamics in Miller Coulee suggests that the greatest water quality impacts may not yet have reached Rosebud Creek.

","language":"English","publisher":"Springer","doi":"10.1007/s10040-025-02898-z","usgsCitation":"Keeshin, S., Ewing, S., Meredith, E., Payne, R.A., Gardner, W.P., and Hunt, A.G., 2025, Controls on water quality below a reclaimed surface coal mine, southeastern Montana: Hydrogeology Journal, v. 33, p. 715-737, https://doi.org/10.1007/s10040-025-02898-z.","productDescription":"23 p.","startPage":"715","endPage":"737","ipdsId":"IP-169829","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":492507,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10040-025-02898-z","text":"Publisher Index Page"},{"id":492414,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Powder River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -106.76252916407701,\n 45.96424654184909\n ],\n [\n -106.76252916407701,\n 45.71193610632727\n ],\n [\n -106.38940057072405,\n 45.71193610632727\n ],\n [\n -106.38940057072405,\n 45.96424654184909\n ],\n [\n -106.76252916407701,\n 45.96424654184909\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"33","noUsgsAuthors":false,"publicationDate":"2025-05-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Keeshin, Skye 0009-0009-8644-9872","orcid":"https://orcid.org/0009-0009-8644-9872","contributorId":358243,"corporation":false,"usgs":false,"family":"Keeshin","given":"Skye","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":943360,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ewing, Stephanie A. 0000-0003-0713-4266","orcid":"https://orcid.org/0000-0003-0713-4266","contributorId":358244,"corporation":false,"usgs":false,"family":"Ewing","given":"Stephanie A.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":943361,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meredith, Elizabeth B","contributorId":358247,"corporation":false,"usgs":false,"family":"Meredith","given":"Elizabeth B","affiliations":[{"id":36941,"text":"Montana Bureau of Mines and Geology","active":true,"usgs":false}],"preferred":false,"id":943362,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Payne, Robert A.","contributorId":179214,"corporation":false,"usgs":false,"family":"Payne","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":943363,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gardner, W. Payton 0000-0003-0664-001X","orcid":"https://orcid.org/0000-0003-0664-001X","contributorId":206198,"corporation":false,"usgs":false,"family":"Gardner","given":"W.","email":"","middleInitial":"Payton","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":943364,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hunt, Andrew G. 0000-0002-3810-8610 ahunt@usgs.gov","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":174135,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew","email":"ahunt@usgs.gov","middleInitial":"G.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":943365,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70268482,"text":"70268482 - 2025 - Variations in road exposure and traffic volumes in the United States in areas susceptible to landslides","interactions":[],"lastModifiedDate":"2025-06-27T14:20:55.18606","indexId":"70268482","displayToPublicDate":"2025-05-14T08:49:51","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2036,"text":"International Journal of Disaster Risk Reduction","active":true,"publicationSubtype":{"id":10}},"title":"Variations in road exposure and traffic volumes in the United States in areas susceptible to landslides","docAbstract":"

There have been many efforts in the United States (U.S.) to identify landslide threats for specific roads, but we are unaware of any effort to examine the entire national road system. We use geospatial tools to estimate the lengths and percentages of total length of roads in landslide-susceptible areas and differentiate results by road type, jurisdiction, and susceptibility level. We summarize traffic-volume counts in landslide-susceptible areas in terms of annual and maximum hourly counts using geospatial zones based on the concept of stopping-sight distances. A substantial percentage of the U.S. road network is in areas with some level of landslide susceptibility from 35 % (by length) of all roads to 68 % of county routes. Several Interstate highways have considerable lengths of road in areas with highest landslide susceptibility. There are hundreds of sites with high hourly and annual traffic volumes in areas of highest landslide susceptibility, indicating potential threats to life safety and traffic disruption.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ijdrr.2025.105567","usgsCitation":"Wood, N.J., and Jones, J.M., 2025, Variations in road exposure and traffic volumes in the United States in areas susceptible to landslides: International Journal of Disaster Risk Reduction, v. 124, 105567, 17 p., https://doi.org/10.1016/j.ijdrr.2025.105567.","productDescription":"105567, 17 p.","ipdsId":"IP-176810","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":491715,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ijdrr.2025.105567","text":"Publisher Index Page"},{"id":491523,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n 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-156.4388359432915,\n 19.52759594432213\n ],\n [\n -155.50475005175124,\n 18.725848847139815\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"124","noUsgsAuthors":false,"publicationDate":"2025-05-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Wood, Nathan J. 0000-0002-6060-9729 nwood@usgs.gov","orcid":"https://orcid.org/0000-0002-6060-9729","contributorId":3347,"corporation":false,"usgs":true,"family":"Wood","given":"Nathan","email":"nwood@usgs.gov","middleInitial":"J.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":941500,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Jeanne M. 0000-0001-7549-9270 jmjones@usgs.gov","orcid":"https://orcid.org/0000-0001-7549-9270","contributorId":4676,"corporation":false,"usgs":true,"family":"Jones","given":"Jeanne","email":"jmjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":941501,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70267270,"text":"70267270 - 2025 - Flexible phenology of a C4 grass linked to resiliency to seasonal and multiyear drought events in the American southwest","interactions":[],"lastModifiedDate":"2025-05-19T15:26:06.808659","indexId":"70267270","displayToPublicDate":"2025-05-14T08:21:51","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Flexible phenology of a C4 grass linked to resiliency to seasonal and multiyear drought events in the American southwest","docAbstract":"

Rising temperatures are predicted to further limit dryland water availability as droughts become more intense and frequent and seasonal precipitation patterns shift. Vegetation drought stress may increase mortality and cause declines and delays in phenological events, thereby impacting species' capacity to persist and recover from extreme drought conditions. We compare phenological responses of two common dryland perennial grass species, Achnatherum hymenoides (C3) and Pleuraphis jamesii (C4), to 4 years of experimentally imposed precipitation drought treatments (cool season, warm season, ambient), followed by 2 years of recovery on the Colorado Plateau, United States of America. Tagged individual grasses from both species were monitored biweekly and assessed for phenological metrics and mortality. The C3 grass exhibited less phenological flexibility to both seasonal and interannual drought conditions and experienced high rates of mortality, thus reducing resiliency. Conversely, the C4 grass showed more phenological plasticity during imposed drought treatments, with treatment effects diminishing in the two-year recovery period during a severe ambient drought. Synthesis: Results suggest that plant photosynthetic strategies may impact plant resistance and resiliency to drought. Here, C3 grass populations may decline, potentially shifting cool dryland ecosystems into a system comprised predominantly of warm-season adapted species.

","language":"English","publisher":"Wiley","doi":"10.1002/ece3.71435","usgsCitation":"Finger-Higgens, R.A., Hoover, D.L., Knight, A.C., Schlaepfer, D.R., and Duniway, M.C., 2025, Flexible phenology of a C4 grass linked to resiliency to seasonal and multiyear drought events in the American southwest: Ecology and Evolution, v. 15, no. 5, e71435, 12 p., https://doi.org/10.1002/ece3.71435.","productDescription":"e71435, 12 p.","ipdsId":"IP-175217","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":490133,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.71435","text":"Publisher Index Page"},{"id":486311,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13YQBFB","text":"USGS data release","linkHelpText":"Plant community composition, abundance, phenology, and soil data from a four-year seasonal drought experiment followed by four years of recovery in a mixed grassland on the Colorado Plateau"},{"id":486158,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Colorado Plateau, southeastern Utah","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.13988247197315,\n 38.391364084093055\n ],\n [\n -111.13988247197315,\n 36.98964710801718\n ],\n [\n -109.03982788793104,\n 36.98964710801718\n ],\n [\n -109.03982788793104,\n 38.391364084093055\n ],\n [\n -111.13988247197315,\n 38.391364084093055\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-05-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Finger-Higgens, Rebecca A 0000-0002-7645-504X","orcid":"https://orcid.org/0000-0002-7645-504X","contributorId":290211,"corporation":false,"usgs":true,"family":"Finger-Higgens","given":"Rebecca","email":"","middleInitial":"A","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":937552,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoover, David L. dlhoover@usgs.gov","contributorId":245331,"corporation":false,"usgs":false,"family":"Hoover","given":"David","email":"dlhoover@usgs.gov","middleInitial":"L.","affiliations":[{"id":49151,"text":"USDA-ARS Rangeland Resources Research Unit, Crops Research Laboratory, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":937553,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Knight, Anna C. 0000-0002-9455-2855","orcid":"https://orcid.org/0000-0002-9455-2855","contributorId":255113,"corporation":false,"usgs":true,"family":"Knight","given":"Anna","email":"","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":937554,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schlaepfer, Daniel Rodolphe 0000-0001-9973-2065","orcid":"https://orcid.org/0000-0001-9973-2065","contributorId":225569,"corporation":false,"usgs":true,"family":"Schlaepfer","given":"Daniel","email":"","middleInitial":"Rodolphe","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":937555,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":937556,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70267215,"text":"70267215 - 2025 - Paleo-scours within the layered sulfate-bearing unit at Gale crater, Mars: Evidence for intense wind erosion","interactions":[],"lastModifiedDate":"2025-05-20T13:19:43.188052","indexId":"70267215","displayToPublicDate":"2025-05-14T08:15:31","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9967,"text":"JGR Planets","active":true,"publicationSubtype":{"id":10}},"title":"Paleo-scours within the layered sulfate-bearing unit at Gale crater, Mars: Evidence for intense wind erosion","docAbstract":"The surface of modern Mars is largely shaped by wind, but the influence of past wind activity is less well constrained. Sedimentary rocks exposed in the lower foothills of Aeolis Mons, the central mound within Gale crater, record a transition from predominantly lacustrine deposition in the Murray formation to aeolian deposition in the Mirador formation. Here, we report a series of enigmatic decameter-wide, concave-up scour-and-fill structures within the Mirador formation and discuss their formation mechanisms. Using panoramic images of stratigraphy exposed in cliff faces acquired by the Curiosity rover, we map the extent, distribution and orientation of the scour-and-fill structures and document the sedimentary facies within and surrounding these structures. The scours are grouped into two classes: (A) scours with a simple, symmetric morphology and light-toned, draping infill; and (B) scours with lateral pinching and dark-toned infill. We find that the scour-enclosing environment is composed of planar, even-in-thickness laminations with a pin-stripe pattern which we interpret as wind-ripple strata formed within an aeolian sandsheet environment. Class B contains cm-scale cross-bedding and a wing-shaped feature making this scour-and-fill structure consistent with fluvial processes. We interpret scour fill of class A as an aeolian infill due to similarities with the surrounding sandsheet strata. The broad morphologies and distribution of class A are also consistent with the geometry of blowout structures formed by localized, enhanced wind deflation. These paleo-blowout structures occur clustered within the same stratigraphic interval, which may imply that they record an interval of intensified wind activity at Gale crater.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024JE008680","usgsCitation":"Roberts, A., Gupta, S., Banhan, S., Cowart, A., Edgar, L.A., Rapin, W., Dietrich, W., Kite, E., Davis, J., Caravaca, G., Mondro, C., Gasda, P., Johnson, J., Le Mouelic, S., Fey, D., Bryk, A., Paar, G., Harris, R., Fraeman, A., and Vasavada, A., 2025, Paleo-scours within the layered sulfate-bearing unit at Gale crater, Mars: Evidence for intense wind erosion: JGR Planets, v. 130, no. 5, e2024JE008680, 32 p., https://doi.org/10.1029/2024JE008680.","productDescription":"e2024JE008680, 32 p.","ipdsId":"IP-169999","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":489183,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024je008680","text":"Publisher Index Page"},{"id":486069,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Gale Crater, Mars","volume":"130","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-05-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Roberts, A.L.","contributorId":355429,"corporation":false,"usgs":false,"family":"Roberts","given":"A.L.","affiliations":[{"id":84748,"text":"Department of Earth Science & Engineering, Imperial College London","active":true,"usgs":false}],"preferred":false,"id":937306,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gupta, S.","contributorId":177658,"corporation":false,"usgs":false,"family":"Gupta","given":"S.","email":"","affiliations":[],"preferred":false,"id":937307,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Banhan, S.G.","contributorId":355430,"corporation":false,"usgs":false,"family":"Banhan","given":"S.G.","affiliations":[{"id":84748,"text":"Department of Earth Science & Engineering, Imperial College London","active":true,"usgs":false}],"preferred":false,"id":937308,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cowart, A.","contributorId":355431,"corporation":false,"usgs":false,"family":"Cowart","given":"A.","affiliations":[{"id":13179,"text":"Planetary Science Institute","active":true,"usgs":false}],"preferred":false,"id":937309,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Edgar, Lauren A. 0000-0001-7512-7813 ledgar@usgs.gov","orcid":"https://orcid.org/0000-0001-7512-7813","contributorId":167501,"corporation":false,"usgs":true,"family":"Edgar","given":"Lauren","email":"ledgar@usgs.gov","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":937310,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rapin, W.","contributorId":173218,"corporation":false,"usgs":false,"family":"Rapin","given":"W.","affiliations":[{"id":27192,"text":"IRAP","active":true,"usgs":false}],"preferred":false,"id":937311,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dietrich, W.E.","contributorId":351711,"corporation":false,"usgs":false,"family":"Dietrich","given":"W.E.","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":937312,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kite, E.S.","contributorId":351720,"corporation":false,"usgs":false,"family":"Kite","given":"E.S.","affiliations":[{"id":36705,"text":"University of Chicago","active":true,"usgs":false}],"preferred":false,"id":937313,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Davis, J.M.","contributorId":352402,"corporation":false,"usgs":false,"family":"Davis","given":"J.M.","affiliations":[{"id":84208,"text":"Imperial College, London, UK","active":true,"usgs":false}],"preferred":false,"id":937314,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Caravaca, G.","contributorId":290214,"corporation":false,"usgs":false,"family":"Caravaca","given":"G.","affiliations":[],"preferred":false,"id":937315,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Mondro, C.A.","contributorId":351708,"corporation":false,"usgs":false,"family":"Mondro","given":"C.A.","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":937316,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Gasda, P.J.","contributorId":355434,"corporation":false,"usgs":false,"family":"Gasda","given":"P.J.","affiliations":[{"id":13447,"text":"Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":937319,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Johnson, J.R.","contributorId":296826,"corporation":false,"usgs":false,"family":"Johnson","given":"J.R.","email":"","affiliations":[{"id":7166,"text":"Johns Hopkins University Applied Physics Laboratory","active":true,"usgs":false}],"preferred":false,"id":937320,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Le Mouélic, Stéphane","contributorId":92786,"corporation":false,"usgs":false,"family":"Le Mouélic","given":"Stéphane","affiliations":[],"preferred":false,"id":937321,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Fey, D.M.","contributorId":355435,"corporation":false,"usgs":false,"family":"Fey","given":"D.M.","affiliations":[{"id":36716,"text":"Malin Space Science Systems","active":true,"usgs":false}],"preferred":false,"id":937322,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Bryk, A.B.","contributorId":351718,"corporation":false,"usgs":false,"family":"Bryk","given":"A.B.","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":937323,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Paar, G.","contributorId":252879,"corporation":false,"usgs":false,"family":"Paar","given":"G.","email":"","affiliations":[{"id":50456,"text":"Joanneum Research, Graz, Austria","active":true,"usgs":false}],"preferred":false,"id":937395,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Harris, R.A.","contributorId":355436,"corporation":false,"usgs":false,"family":"Harris","given":"R.A.","affiliations":[{"id":84750,"text":"Department of Earth Sciences, Natural History Museum, London","active":true,"usgs":false}],"preferred":false,"id":937324,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Fraeman, A.","contributorId":177657,"corporation":false,"usgs":false,"family":"Fraeman","given":"A.","affiliations":[],"preferred":false,"id":937325,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Vasavada, A.R.","contributorId":351725,"corporation":false,"usgs":false,"family":"Vasavada","given":"A.R.","affiliations":[{"id":36392,"text":"Jet Propulsion Laboratory","active":true,"usgs":false}],"preferred":false,"id":937326,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}} ,{"id":70267239,"text":"70267239 - 2025 - Environmental persistence and toxicity of weathered wildland fire retardants to rainbow trout","interactions":[],"lastModifiedDate":"2025-06-12T15:55:21.026427","indexId":"70267239","displayToPublicDate":"2025-05-14T08:09:25","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":887,"text":"Archives of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Environmental persistence and toxicity of weathered wildland fire retardants to rainbow trout","docAbstract":"

Long-term fire retardants are employed to combat and control wildfires by altering the way fuels burn, and they continue to decrease fire intensity after water in the retardant solution has evaporated. After application, fire retardants may persist on dry stream beds or in riparian habitats before precipitation events flush the retardant into intermittent streams. We exposed juvenile (30–60 days post swim-up) rainbow trout (Oncorhynchus mykiss) to fire retardants weathered for 7–56 days on different substrates (duff, gravel, high organic content soil, and low organic content soil) under static conditions for 96 h to evaluate the potential toxicity of two current-use long-term fire-retardant (LC95A-R and MVP-Fx) products. Trout mortality was greater in LC95A-R treatments compared to MVP-Fx due to higher concentrations of LC95A-R in the applied product than MVP-Fx at the same application rate. Underlying substrate affected fire-retardant toxicity, with 31% higher average mortality for products applied to duff and gravel compared to soil. Differences in mortality across substrates and products after weathering may be attributed to differences in the mix ratio of applied product and interactions of product chemistries with underlying substrate. These interactions resulted in elevated ionic concentrations of the overlying water in duff and gravel treatments. Trout mortality decreased 15% for products weathered 56 days compared to 7 days. Our results suggest that long-term fire retardants may persist in the environment and that underlying substrate may alter the toxicity of these products upon entrance into an intermittent stream.

","language":"English","publisher":"Springer Nature","doi":"10.1007/s00244-025-01131-y","usgsCitation":"Mackey, C.M., Iacchetta, M.G., and Puglis, H.J., 2025, Environmental persistence and toxicity of weathered wildland fire retardants to rainbow trout: Archives of Environmental Contamination and Toxicology, v. 88, p. 397-406, https://doi.org/10.1007/s00244-025-01131-y.","productDescription":"10 p.","startPage":"397","endPage":"406","ipdsId":"IP-161555","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":486156,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"88","noUsgsAuthors":false,"publicationDate":"2025-05-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Mackey, Christina M. 0000-0003-1737-2698","orcid":"https://orcid.org/0000-0003-1737-2698","contributorId":243574,"corporation":false,"usgs":true,"family":"Mackey","given":"Christina","email":"","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":937424,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iacchetta, Michael G. 0000-0001-9459-1435","orcid":"https://orcid.org/0000-0001-9459-1435","contributorId":291394,"corporation":false,"usgs":true,"family":"Iacchetta","given":"Michael","email":"","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":937425,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Puglis, Holly J. 0000-0002-3090-6597 hpuglis@usgs.gov","orcid":"https://orcid.org/0000-0002-3090-6597","contributorId":4686,"corporation":false,"usgs":true,"family":"Puglis","given":"Holly","email":"hpuglis@usgs.gov","middleInitial":"J.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":937426,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70266866,"text":"ofr20251025 - 2025 - Distribution and abundance of Least Bell’s Vireos (Vireo bellii pusillus) and Southwestern Willow Flycatchers (Empidonax traillii extimus) at the Mojave River Dam, San Bernardino County, California—2024 data summary","interactions":[],"lastModifiedDate":"2025-05-14T14:24:51.77589","indexId":"ofr20251025","displayToPublicDate":"2025-05-13T11:29:37","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-1025","displayTitle":"Distribution and Abundance of Least Bell’s Vireos (Vireo bellii pusillus) and Southwestern Willow Flycatchers (Empidonax traillii extimus) at the Mojave River Dam, San Bernardino County, California—2024 Data Summary","title":"Distribution and abundance of Least Bell’s Vireos (Vireo bellii pusillus) and Southwestern Willow Flycatchers (Empidonax traillii extimus) at the Mojave River Dam, San Bernardino County, California—2024 data summary","docAbstract":"

We surveyed for Least Bell’s Vireos (Vireo bellii pusillus; vireo) and Southwestern Willow Flycatchers (Empidonax traillii extimus; flycatcher) at the Mojave River Dam study area near Hesperia, California, in 2024. Four vireo surveys were completed between April 17 and July 2, 2024, and three flycatcher surveys were completed between May 23 and July 2, 2024.

We detected three territorial male vireos, all of which were paired. No juveniles were observed during surveys. Vireo territories were reported in two habitat types: riparian scrub and willow-cottonwood. Red or arroyo willow (Salix laevigata or lasiolepis) was the dominant plant species in most vireo territories. No territorial or transient flycatchers were observed.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251025","programNote":"Ecosystems Mission Area—Species Management Research Program","usgsCitation":"Howell, S.L., and Kus, B.E., 2025, Distribution and abundance of Least Bell’s Vireos (Vireo bellii pusillus) and Southwestern Willow Flycatchers (Empidonax traillii extimus) at the Mojave River Dam, San Bernardino County, California—2024 data summary: U.S. Geological Survey Open-File Report 2025–1025, 8 p., https://doi.org/10.3133/ofr20251025.","productDescription":"vi, 8 p.","onlineOnly":"Y","ipdsId":"IP-172384","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":485895,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1025/ofr20251025.XML"},{"id":485894,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1025/images"},{"id":485893,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251025/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2025-1025"},{"id":485892,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1025/ofr20251025.pdf","text":"Report","size":"1.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2025-1025"},{"id":485891,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1025/coverthb.jpg"}],"country":"United States","state":"California","county":"San Bernardino County","otherGeospatial":"Mojave River Dam","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.2768615020681,\n 34.370295162773715\n ],\n [\n -117.2768615020681,\n 34.31872800675019\n ],\n [\n -117.21059336313478,\n 34.31872800675019\n ],\n [\n -117.21059336313478,\n 34.370295162773715\n ],\n [\n -117.2768615020681,\n 34.370295162773715\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819

","tableOfContents":"","publishedDate":"2025-05-13","noUsgsAuthors":false,"publicationDate":"2025-05-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Howell, Scarlett L. 0000-0001-7538-4860 showell@usgs.gov","orcid":"https://orcid.org/0000-0001-7538-4860","contributorId":140441,"corporation":false,"usgs":true,"family":"Howell","given":"Scarlett","email":"showell@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":936996,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kus, Barbara E. 0000-0002-3679-3044 barbara_kus@usgs.gov","orcid":"https://orcid.org/0000-0002-3679-3044","contributorId":3026,"corporation":false,"usgs":true,"family":"Kus","given":"Barbara E.","email":"barbara_kus@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":936997,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70267492,"text":"70267492 - 2025 - Using distance sampling with camera traps to estimate densities of ungulates on tropical oceanic islands","interactions":[],"lastModifiedDate":"2025-05-27T14:44:08.288888","indexId":"70267492","displayToPublicDate":"2025-05-13T09:40:39","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2487,"text":"Journal of Tropical Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Using distance sampling with camera traps to estimate densities of ungulates on tropical oceanic islands","docAbstract":"

Reliable population estimates are one of the most elementary needs for the management of wildlife, particularly for introduced ungulates on oceanic islands. We aimed to produce accurate and precise density estimates of Philippine deer (Rusa marianna) and wild pigs (Sus scrofa) on Guam using motion-triggered cameras combined with distance sampling to estimate densities from observations of unmarked animals while accounting for imperfect detection. We used an automated digital data processing pipeline for species recognition and to estimate the distance to detected species. Our density estimates were slightly lower than published estimates, consistent with management to reduce populations. We estimated the number of camera traps needed to obtain a 0.1 coefficient of variation was substantial, requiring > ten-fold increase in camera traps, while estimates with precision of 0.2 or 0.3 were more achievable, requiring doubling to quadrupling the number of camera traps. We provide best practices for establishing and conducting distance sampling with camera trap surveys for density estimation based on lessons learned during this study. Future studies should consider distance sampling with camera traps to efficiently survey and monitor unmarked animals, particularly medium-sized ungulates, in tropical, oceanic island ecosystems.

","language":"English","publisher":"Cambridge University Press","doi":"10.1017/S0266467425000033","usgsCitation":"Camp, R.J., Bak, T.M., Burt, M., and Vogt, S., 2025, Using distance sampling with camera traps to estimate densities of ungulates on tropical oceanic islands: Journal of Tropical Ecology, v. 41, e12, https://doi.org/10.1017/S0266467425000033.","productDescription":"e12","ipdsId":"IP-154449","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":486578,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Guam","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 144.96784988323265,\n 13.61173385872614\n ],\n [\n 144.8366796899819,\n 13.68869399233894\n ],\n [\n 144.63621203614423,\n 13.440889342095488\n ],\n [\n 144.62136258030552,\n 13.248242573805925\n ],\n [\n 144.72778368049006,\n 13.221741661313231\n ],\n [\n 144.79955605038276,\n 13.274740600770016\n ],\n [\n 144.81688041552877,\n 13.419224264484484\n ],\n [\n 144.96042515531252,\n 13.525123785236971\n ],\n [\n 144.96784988323265,\n 13.61173385872614\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"41","noUsgsAuthors":false,"publicationDate":"2025-05-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Camp, Richard J. 0000-0001-7008-923X rick_camp@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-923X","contributorId":189964,"corporation":false,"usgs":true,"family":"Camp","given":"Richard","email":"rick_camp@usgs.gov","middleInitial":"J.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":938391,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bak, Trevor M.","contributorId":317824,"corporation":false,"usgs":false,"family":"Bak","given":"Trevor","email":"","middleInitial":"M.","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":938392,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burt, Matthew D","contributorId":355925,"corporation":false,"usgs":false,"family":"Burt","given":"Matthew D","affiliations":[{"id":84860,"text":"Naval Facilities Marianas","active":true,"usgs":false}],"preferred":false,"id":938393,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vogt, Scott","contributorId":355926,"corporation":false,"usgs":false,"family":"Vogt","given":"Scott","affiliations":[{"id":84860,"text":"Naval Facilities Marianas","active":true,"usgs":false}],"preferred":false,"id":938394,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70267370,"text":"70267370 - 2025 - Fine-resolution satellite remote sensing improves spatially distributed snow modeling to near real time","interactions":[],"lastModifiedDate":"2025-05-21T14:36:05.59686","indexId":"70267370","displayToPublicDate":"2025-05-13T09:30:10","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Fine-resolution satellite remote sensing improves spatially distributed snow modeling to near real time","docAbstract":"

Given the highly variable distribution of seasonal snowpacks in complex mountainous environments, the accurate snow modeling of basin-wide snow water equivalent (SWE) requires a spatially distributed approach at a sufficiently fine grid resolution (<500 m) to account for the important processes in the seasonal evolution of a snowpack (e.g., wind redistribution of snow to resolve patchy snow cover in an alpine zone). However, even well-validated snow evolution models, such as SnowModel, are prone to errors when key model inputs, such as the precipitation and wind speed and direction, are inaccurate or only available at coarse spatial resolutions. Incorporating fine-spatial-resolution remotely sensed snow-covered area (SCA) information into spatially distributed snow modeling has the potential to refine and improve fine-resolution snow water equivalent (SWE) estimates. This study developed 30 m resolution SnowModel simulations across the Big Thompson River, Fraser River, Three Lakes, and Willow Creek Basins, a total area of 4212 km2 in Colorado, for the water years 2000–2023, and evaluated the incorporation of a Moderate Resolution Imaging Spectroradiometer (MODIS) and Landsat SCA datasets into the model’s development and calibration. The SnowModel was calibrated spatially to the Landsat mean annual snow persistence (SP) and temporally to the MODIS mean basin SCA using a multi-objective calibration procedure executed using Latin hypercube sampling and a stepwise calibration process. The Landsat mean annual SP was also used to further optimize the SnowModel simulations through the development of a spatially variable precipitation correction field. The evaluations of the SnowModel simulations using the Airborne Snow Observatories’ (ASO’s) light detection and ranging (lidar)-derived SWE estimates show that the versions of the SnowModel calibrated to the remotely sensed SCA had an improved performance (mean error ranging from −28 mm to −6 mm) compared with the baseline simulations (mean error ranging from 69 mm to 86 mm), and comparable spatial patterns to those of the ASO, especially at the highest elevations. Furthermore, this study’s results highlight how a regularly updated 30 m resolution SCA could be used to further improve the calibrated SnowModel simulations to near real time (latency of 5 days or less).

","language":"English","publisher":"MDPI","doi":"10.3390/rs17101704","usgsCitation":"Sexstone, G., Akie, G.A., Selkowitz, D.J., Barnhart, T., Rey, D., León-Salazar, C., Carbone, E., and Bearup, L.A., 2025, Fine-resolution satellite remote sensing improves spatially distributed snow modeling to near real time: Remote Sensing, v. 17, no. 10, 1704, 24 p., https://doi.org/10.3390/rs17101704.","productDescription":"1704, 24 p.","ipdsId":"IP-174585","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":490140,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs17101704","text":"Publisher Index Page"},{"id":486286,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Rocky Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -106.33,\n 40.85\n ],\n [\n -106.33,\n 39.65\n ],\n [\n -105.17,\n 39.65\n ],\n [\n -105.17,\n 40.85\n ],\n [\n -106.33,\n 40.85\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"17","issue":"10","noUsgsAuthors":false,"publicationDate":"2025-05-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Sexstone, Graham A. 0000-0001-8913-0546","orcid":"https://orcid.org/0000-0001-8913-0546","contributorId":203850,"corporation":false,"usgs":true,"family":"Sexstone","given":"Graham A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":938011,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Akie, Garrett Alexander 0000-0002-6356-7106","orcid":"https://orcid.org/0000-0002-6356-7106","contributorId":290236,"corporation":false,"usgs":true,"family":"Akie","given":"Garrett","email":"","middleInitial":"Alexander","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":938012,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Selkowitz, David J. 0000-0003-0824-7051 dselkowitz@usgs.gov","orcid":"https://orcid.org/0000-0003-0824-7051","contributorId":3259,"corporation":false,"usgs":true,"family":"Selkowitz","given":"David","email":"dselkowitz@usgs.gov","middleInitial":"J.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":938013,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barnhart, Theodore B. 0000-0002-9682-3217","orcid":"https://orcid.org/0000-0002-9682-3217","contributorId":202558,"corporation":false,"usgs":true,"family":"Barnhart","given":"Theodore B.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":938014,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rey, David M. 0000-0003-2629-365X","orcid":"https://orcid.org/0000-0003-2629-365X","contributorId":211848,"corporation":false,"usgs":true,"family":"Rey","given":"David M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":938015,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"León-Salazar, Claudia","contributorId":355707,"corporation":false,"usgs":false,"family":"León-Salazar","given":"Claudia","affiliations":[{"id":6736,"text":"Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":938016,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Carbone, Emily","contributorId":355708,"corporation":false,"usgs":false,"family":"Carbone","given":"Emily","affiliations":[{"id":84819,"text":"Northern Water","active":true,"usgs":false}],"preferred":false,"id":938017,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bearup, Lindsay A.","contributorId":139257,"corporation":false,"usgs":false,"family":"Bearup","given":"Lindsay","email":"","middleInitial":"A.","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":938018,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70268342,"text":"70268342 - 2025 - Shifting baselines of coral-reef species composition from the Late Pleistocene to the present in the Florida Keys","interactions":[],"lastModifiedDate":"2025-06-23T14:20:17.616459","indexId":"70268342","displayToPublicDate":"2025-05-13T09:14:05","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5781,"text":"The Depositional Record","active":true,"publicationSubtype":{"id":10}},"title":"Shifting baselines of coral-reef species composition from the Late Pleistocene to the present in the Florida Keys","docAbstract":"

The ongoing global-scale reassembly of modern coral reefs is unprecedented compared with the observed stability of most late Quaternary reef assemblages. One notable exception is the marine isotope stage (MIS) 5e (ca 130–116 thousand years ago [ka]) reefs in the Florida Keys, where the ubiquitous shallow-water coral, Acropora palmata, was near absent. Little is known, however, about reefs that grew during MIS5d–a (ca 116–74 ka), between MIS5e and the Holocene. It is therefore unclear whether Florida's unique MIS5e coral assemblages represent a geologically brief anomaly or a more persistent departure from the western Atlantic coral-reef archetype. We addressed that question by reconstructing the composition of MIS5d–a reefs within 29 coral-reef cores collected throughout the Florida Keys. We then compared the relative composition of corals during MIS5d–a to existing datasets from MIS5e, Holocene and modern (1996 and 2022) reefs to evaluate how far today's reef assemblages have diverged from geological baselines. We show that although the proportion of reef frameworks built by corals was remarkably consistent (ca 38%), species composition changed significantly through time. Acropora palmata was rare throughout MIS5, which we hypothesise was due to greater cold-temperature stress in Florida's subtropical reefs compared with the more climatically stable tropics. In contrast, the massive reef-building coral, Orbicella spp., was regionally dominant throughout the late Quaternary, but has become increasingly rare on modern reefs. By 2022, reefs in the Florida Keys were characterised by a truly novel coral assemblage dominated by Porites astreoides and Siderastrea siderea. In many ways, Florida's reefs defy the concept of a natural baseline; instead, their most persistent characteristic since the Late Pleistocene is their uniqueness. Yet, as reefs are increasingly subjected to unprecedented levels of environmental change, the exceptions to what was normal in the past could, paradoxically, provide the best geological analogues for the future.

","language":"English","publisher":"WIley","doi":"10.1002/dep2.70009","usgsCitation":"Toth, L., Stathakopoulos, A., Hsia, S., and Weinstein, D.A., 2025, Shifting baselines of coral-reef species composition from the Late Pleistocene to the present in the Florida Keys: The Depositional Record, v. 11, no. 3, p. 893-916, https://doi.org/10.1002/dep2.70009.","productDescription":"24 p.","startPage":"893","endPage":"916","ipdsId":"IP-173487","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":491456,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/dep2.70009","text":"Publisher Index Page"},{"id":491097,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Florida Keys","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -80.17917140030995,\n 25.383351188271973\n ],\n [\n -81.59701661611159,\n 24.90866922937429\n ],\n [\n -83.02465696293855,\n 24.77579446049141\n ],\n [\n -83.06138870428032,\n 24.366054515738625\n ],\n [\n -81.8345485434568,\n 24.395013657422012\n ],\n [\n -80.65178647224371,\n 24.557720553123204\n ],\n [\n -80.17917140030995,\n 25.383351188271973\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"11","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-05-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Toth, Lauren T. 0000-0002-2568-802X ltoth@usgs.gov","orcid":"https://orcid.org/0000-0002-2568-802X","contributorId":181748,"corporation":false,"usgs":true,"family":"Toth","given":"Lauren","email":"ltoth@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":940869,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stathakopoulos, Anastasios 0000-0002-4404-035X astathakopoulos@usgs.gov","orcid":"https://orcid.org/0000-0002-4404-035X","contributorId":147744,"corporation":false,"usgs":true,"family":"Stathakopoulos","given":"Anastasios","email":"astathakopoulos@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":940870,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hsia, Scarlette Shan-Hwei 0000-0002-2230-9004","orcid":"https://orcid.org/0000-0002-2230-9004","contributorId":346523,"corporation":false,"usgs":true,"family":"Hsia","given":"Scarlette Shan-Hwei","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":940871,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weinstein, David A.","contributorId":206027,"corporation":false,"usgs":false,"family":"Weinstein","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":940872,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70267387,"text":"70267387 - 2025 - Linking permafrost to the abundance, biomass, and energy density of fish in Arctic headwater streams","interactions":[],"lastModifiedDate":"2025-05-21T14:10:33.157869","indexId":"70267387","displayToPublicDate":"2025-05-13T08:59:33","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":"Linking permafrost to the abundance, biomass, and energy density of fish in Arctic headwater streams","docAbstract":"

Permafrost thaw alters groundwater flow, river hydrology, stream-catchment interactions, and the availability of carbon and nutrients in headwater streams. The impact of permafrost on watershed hydrology and biogeochemistry of headwater streams has been demonstrated, but there is little understanding of how permafrost influences fish in these ecosystems. We examined relations among permafrost characteristics, the resulting changes in water temperature, stream hydrology (e.g., discharge flashiness), and macroinvertebrates, with the abundance, biomass, and energy density of juvenile Dolly Varden (Salvelinus malma) and Arctic Grayling (Thymallus arcticus) across 10 headwater streams in northwestern Alaska. Macroinvertebrate density was driven by concentrations of dissolved carbon and nutrients supporting stream food webs. Dolly Varden abundance was primarily related to water temperature with fewer fish in warmer streams, whereas Dolly Varden energy density decreased with the flashiness of the headwater streams. Dolly Varden biomass was related to both temperature and bottom-up food web effects. The energy density of Arctic Grayling decreased with warmer temperatures and discharge flashiness. These relations demonstrate the importance of terrestrial–aquatic connections in permafrost landscapes and indicate the complexity of landscape effects on fish. Because permafrost thaw is one of the most impactful changes occurring as the Arctic warms, an improved understanding of how stream temperature, hydrology, and bottom-up food web processes influence fish populations can aid forecasting of future conditions across the Arctic.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70270","usgsCitation":"Carey, M.P., Koch, J.C., O’Donnell, J.A., Poulin, B., and Zimmerman, C.E., 2025, Linking permafrost to the abundance, biomass, and energy density of fish in Arctic headwater streams: Ecosphere, v. 16, no. 5, e70270, 20 p., https://doi.org/10.1002/ecs2.70270.","productDescription":"e70270, 20 p.","ipdsId":"IP-168519","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":486925,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70270","text":"Publisher Index Page"},{"id":486281,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Noatak National Preserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -164,\n 69\n ],\n [\n -164,\n 66.7\n ],\n [\n -156,\n 66.7\n ],\n [\n -156,\n 69\n ],\n [\n -164,\n 69\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"16","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-05-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Carey, Michael P. 0000-0002-3327-8995 mcarey@usgs.gov","orcid":"https://orcid.org/0000-0002-3327-8995","contributorId":5397,"corporation":false,"usgs":true,"family":"Carey","given":"Michael","email":"mcarey@usgs.gov","middleInitial":"P.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":938061,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":938062,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Donnell, Jonathan A. 0000-0001-7031-9808","orcid":"https://orcid.org/0000-0001-7031-9808","contributorId":191423,"corporation":false,"usgs":false,"family":"O’Donnell","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":938063,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Poulin, Brett 0000-0002-5555-7733","orcid":"https://orcid.org/0000-0002-5555-7733","contributorId":260893,"corporation":false,"usgs":false,"family":"Poulin","given":"Brett","affiliations":[{"id":52706,"text":"Department of Environmental Toxicology, University of California Davis, Davis, CA 95616, USA","active":true,"usgs":false}],"preferred":false,"id":938064,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zimmerman, Christian E. 0000-0002-3646-0688 czimmerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3646-0688","contributorId":410,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Christian","email":"czimmerman@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":938065,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}