Amplified wildfire activity in forests of the western United States threatens biodiversity. Fuel treatments can reduce fire severity, modify fire behavior, and restore forest structure and composition, yet impacts of some treatments, including slash piling and burning, on wildlife have received little attention. Piling of residual woody material may create habitable microenvironments for species that require cool, moist microclimates for all biological and ecological functions. One such species, the Sacramento Mountain salamander (Aneides hardii Taylor), a relictual, endemic salamander narrowly distributed in the mountains of south-central New Mexico, USA, has been found below constructed slash piles within its range, but the characteristics of occupied slash piles and the extent of their occupancy has not yet been quantified. We surveyed for Sacramento Mountain salamanders in slash piles and under logs (cover objects) adjacent to piles and within a surrounding survey plot, and related salamander occupancy to slash pile and cover object characteristics, soil moisture and temperature, and environmental setting.
We found Sacramento Mountain salamanders in 50% of surveyed slash piles. About 90% of salamanders were found in piles that contained black plastic sheeting, which held accumulations of moist leaf litter and other forest debris. We found no differences in pile characteristics, soil variables, or environmental setting between piles occupied by salamanders and piles in which no salamanders were detected. Salamander density was highest in slash piles, ~ 10% lower under cover objects in the survey area, and ~ 23% lower under cover objects adjacent to slash piles.
Slash piles serve as habitat for Sacramento Mountain salamanders. Our results suggest that within our study area or similar environments within the species range, any comparable slash pile has the potential to be occupied by salamanders. Species and habitat conservation measures indicated by this study and the timing of historical detections into mid-October include constructing smaller, pyramidal piles that minimize log-on-log or log-ground contact, avoiding the inclusion of black plastic in piles, limiting residence time of piles on the landscape, and initiating pile burning in late October or early November, when most salamanders are likely to have retreated below the ground surface.
","language":"English","publisher":"Springer","doi":"10.1186/s42408-025-00381-4","collaboration":"University of Rhode Island","usgsCitation":"Loehman, R.A., and Karraker, N.E., 2025, Evaluating slash piles as habitat for a threatened salamander: Fire Ecology, v. 21, 36, 18 p., https://doi.org/10.1186/s42408-025-00381-4.","productDescription":"36, 18 p.","ipdsId":"IP-124527","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":498916,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s42408-025-00381-4","text":"Publisher Index Page"},{"id":498739,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Lincoln National Forest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.4616018244409,\n 32.86352310900293\n ],\n [\n -105.4616018244409,\n 32.775897714349966\n ],\n [\n -105.30671714574738,\n 32.775897714349966\n ],\n [\n -105.30671714574738,\n 32.86352310900293\n ],\n [\n -105.4616018244409,\n 32.86352310900293\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"21","noUsgsAuthors":false,"publicationDate":"2025-06-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Loehman, Rachel A. 0000-0001-7680-1865 rloehman@usgs.gov","orcid":"https://orcid.org/0000-0001-7680-1865","contributorId":187605,"corporation":false,"usgs":true,"family":"Loehman","given":"Rachel","email":"rloehman@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":false,"id":953895,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karraker, Nancy E","contributorId":365192,"corporation":false,"usgs":false,"family":"Karraker","given":"Nancy","middleInitial":"E","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":953896,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70269051,"text":"70269051 - 2025 - Timescales of surface faulting preservation in low-strain intraplate regions from landscape evolution modeling and the geomorphic and historical record","interactions":[],"lastModifiedDate":"2025-07-15T17:01:10.189577","indexId":"70269051","displayToPublicDate":"2025-06-14T09:58:42","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6453,"text":"Journal of Geophysical Research Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Timescales of surface faulting preservation in low-strain intraplate regions from landscape evolution modeling and the geomorphic and historical record","docAbstract":"Large surface-rupturing intraplate earthquakes in stable continental regions (SCRs) are uncommon globally and have recurrence intervals of thousands to hundreds of thousands of years based on the paleoseismic and geomorphic record, challenging accurate active fault identification in these regions. To constrain the timescales of preservation for scarps created by surface ruptures from dip-slip earthquakes, we use a two-dimensional scarp diffusion model for typical intraplate settings and explore which parameters influence fault scarp preservation. These parameters include the coseismic vertical surface offset, the recurrence interval of similar magnitude earthquakes, diffusivity (as a proxy for mean annual precipitation rate), and the erodibility of the surficial material. We constrain parameter ranges from a compilation of historical surface ruptures in intraplate settings in a variety of climates, including the Central and Eastern United States, Australia, Europe, Central Asia (Mongolia, China), India, and West Africa. The timescales of scarp preservation from landscape evolution modeling agree well with observations of scarp preservation in low-strain SCR and intraplate tectonic settings, with some notable exceptions for Australian scarps. We find that the erodibility of the surficial material and earthquake recurrence interval have a stronger effect on the timescales of scarp preservation than diffusivity or coseismic vertical surface offset. Our model results may aid in identifying and characterizing subtle, slow-moving active faults in low-strain SCR and intraplate tectonic settings for different tectonic, geomorphic, and climatic characteristics. Accurate fault locations and characterization from the landscape record has implications for both probabilistic seismic and fault displacement hazard analyses.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024JB029966","usgsCitation":"Jobe, J.A., and Reitman, N.G., 2025, Timescales of surface faulting preservation in low-strain intraplate regions from landscape evolution modeling and the geomorphic and historical record: Journal of Geophysical Research Solid Earth, v. 130, no. 6, e2024JB029966, 26 p., https://doi.org/10.1029/2024JB029966.","productDescription":"e2024JB029966, 26 p.","ipdsId":"IP-169391","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":492286,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"130","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Thompson Jobe, Jessica A. 0000-0001-5574-4523","orcid":"https://orcid.org/0000-0001-5574-4523","contributorId":295377,"corporation":false,"usgs":true,"family":"Thompson Jobe","given":"Jessica","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":943116,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reitman, Nadine G. 0000-0002-6730-2682 nreitman@usgs.gov","orcid":"https://orcid.org/0000-0002-6730-2682","contributorId":5816,"corporation":false,"usgs":true,"family":"Reitman","given":"Nadine","email":"nreitman@usgs.gov","middleInitial":"G.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":943117,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70262138,"text":"70262138 - 2025 - Sustainability trade-offs across modeled floating solar waterscapes of the Northeastern United States","interactions":[],"lastModifiedDate":"2025-08-04T15:52:31.715077","indexId":"70262138","displayToPublicDate":"2025-06-13T09:38:53","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":21644,"text":"Cell Reports Sustainability","active":true,"publicationSubtype":{"id":10}},"title":"Sustainability trade-offs across modeled floating solar waterscapes of the Northeastern United States","docAbstract":"Expansion of floating photovoltaic (FPV) solar systems provides a low-conflict renewable energy option to help mitigate climate change while sparing land, but potential sustainability trade-offs remain unquantified. We compare the technical potential of maximum FPV deployment to address the climate crisis with FPV-buildout scenarios that prioritize biodiversity and social values across waterscapes. FPV deployment on all technically suitable waterbodies (3.5% of available sites) in the Northeastern US could generate nearly a quarter of the region’s solar energy while offsetting all the land required for solar by 2050, but trade-offs, including maintenance of freshwater biodiversity and recreational benefits, exist. Avoidance of socioenvironmental interactions yields FPV-electricity generation potential equal to a 5% increase in regional solar generation while sparing water for biodiversity and social values, though opportunities for co-location make this a conservative estimate. Our framework extends technical potential assessments to holistically inform FPV siting and support diverse Sustainable Development Goals.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.crsus.2025.100423","usgsCitation":"Gallaher, A., Kalies, E., and Grodsky, S.M., 2025, Sustainability trade-offs across modeled floating solar waterscapes of the Northeastern United States: Cell Reports Sustainability, v. 2, no. 7, 100423, 15 p., https://doi.org/10.1016/j.crsus.2025.100423.","productDescription":"100423, 15 p.","ipdsId":"IP-166158","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":491012,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.crsus.2025.100423","text":"Publisher Index Page"},{"id":490768,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Delaware, Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, Vermont, Virginia, West 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\"}}]}","volume":"2","issue":"7","noUsgsAuthors":false,"publicationDate":"2025-06-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Gallaher, Adam","contributorId":348210,"corporation":false,"usgs":false,"family":"Gallaher","given":"Adam","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":923251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kalies, Elizabeth L.","contributorId":348212,"corporation":false,"usgs":false,"family":"Kalies","given":"Elizabeth L.","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":923252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grodsky, Steven Mark 0000-0003-0846-7230","orcid":"https://orcid.org/0000-0003-0846-7230","contributorId":328517,"corporation":false,"usgs":true,"family":"Grodsky","given":"Steven","email":"","middleInitial":"Mark","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":923253,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70268216,"text":"70268216 - 2025 - Assessing nonpoint-source uranium pollution in an irrigated stream-aquifer system","interactions":[],"lastModifiedDate":"2025-06-17T14:39:24.788639","indexId":"70268216","displayToPublicDate":"2025-06-13T09:30:54","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Assessing nonpoint-source uranium pollution in an irrigated stream-aquifer system","docAbstract":"Uranium (U) in rocks and soils of arid and semi-arid environments can be mobilized by irrigation and fertilization, posing environmental and health risks. Elevated U, along with selenium (Se) and nitrate (NO3) co-constituents, necessitates careful monitoring and management. We developed a distributed-parameter numerical model to assess U pollution in an irrigated stream-aquifer system, applying it to a 552 km2 region in Colorado's Lower Arkansas River Valley (LARV) over 14 years. A MODFLOW model, describing groundwater and stream flow, was coupled with an RT3D-OTIS model to portray reactive U transport. Calibration using the PESTPP-iES iterative ensemble smoother (iES) software indicated good agreement with observed U concentrations. The model revealed substantial and variable U levels across the LARV, highlighting potential hotspots and possible contributing factors, such as geological composition of the bedrock and near-surface shale and aquifer sediments derived from them, irrigation practices, and riparian landscape. U levels exceed the chronic standard (85th percentile = 30 μg/L, set by the US Environmental Protection Agency), which is the permissible regulatory threshold, in groundwater across 44 % of the region and along the river by an average factor of 2.9. Simulated average U concentrations in the non-riparian aquifer and river are 124 μg/L and 60 μg/L, respectively, compared with 112 μg/L and 62 μg/L for measured values. The average 85th percentile U concentration is 222 μg/L in the aquifer and 82 μg/L in the river. Average simulated U mass loading to the river is 0.17 kg/day per km, compared to an estimated 0.23 kg/day per km. Findings provide a baseline for comparing future simulated outcomes of alternative best management practices (BMPs) for U pollution mitigation and offer a methodology applicable to other irrigated regions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2025.179861","usgsCitation":"Qurban, I., Gates, T., Morway, E.D., Cox, J., White, J., Bailey, R.T., and Fienen, M., 2025, Assessing nonpoint-source uranium pollution in an irrigated stream-aquifer system: Science of the Total Environment, v. 989, 179861, 22 p., https://doi.org/10.1016/j.scitotenv.2025.179861.","productDescription":"179861, 22 p.","ipdsId":"IP-165259","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":490987,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2025.179861","text":"Publisher Index Page"},{"id":490832,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Lower Arkansas River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -104.84418826977637,\n 38.499618485687876\n ],\n [\n -104.84418826977637,\n 37.73373680491562\n ],\n [\n -102.09264905018665,\n 37.73373680491562\n ],\n [\n -102.09264905018665,\n 38.499618485687876\n ],\n [\n -104.84418826977637,\n 38.499618485687876\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"989","noUsgsAuthors":false,"publicationDate":"2025-06-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Qurban, Ibraheem A.","contributorId":356917,"corporation":false,"usgs":false,"family":"Qurban","given":"Ibraheem A.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":940473,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gates, Timothy K. 0000-0003-4702-4395","orcid":"https://orcid.org/0000-0003-4702-4395","contributorId":356920,"corporation":false,"usgs":false,"family":"Gates","given":"Timothy K.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":940474,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morway, Eric D. 0000-0002-8553-6140 emorway@usgs.gov","orcid":"https://orcid.org/0000-0002-8553-6140","contributorId":4320,"corporation":false,"usgs":true,"family":"Morway","given":"Eric","email":"emorway@usgs.gov","middleInitial":"D.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":940475,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cox, John T. 0000-0002-2956-0285","orcid":"https://orcid.org/0000-0002-2956-0285","contributorId":356923,"corporation":false,"usgs":false,"family":"Cox","given":"John T.","affiliations":[{"id":85282,"text":"W.W. Wheeler & Associates","active":true,"usgs":false}],"preferred":false,"id":940476,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"White, Jeremy T. 0000-0002-4950-1469","orcid":"https://orcid.org/0000-0002-4950-1469","contributorId":248830,"corporation":false,"usgs":false,"family":"White","given":"Jeremy T.","affiliations":[{"id":50032,"text":"GNS New Zealand","active":true,"usgs":false}],"preferred":false,"id":940477,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bailey, Ryan T. 0000-0002-6539-1474","orcid":"https://orcid.org/0000-0002-6539-1474","contributorId":204129,"corporation":false,"usgs":false,"family":"Bailey","given":"Ryan","email":"","middleInitial":"T.","affiliations":[{"id":36859,"text":"Colorado State University, Department of Civil and Environmental Engineerring","active":true,"usgs":false}],"preferred":false,"id":940478,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fienen, Michael N. 0000-0002-7756-4651","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":245632,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":940479,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70268357,"text":"70268357 - 2025 - Canopy and surface fuels measurement using terrestrial lidar single-scan approach in the Mogollon highlands of Arizona","interactions":[],"lastModifiedDate":"2025-06-23T14:08:47.814199","indexId":"70268357","displayToPublicDate":"2025-06-13T09:03:19","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2083,"text":"International Journal of Wildland Fire","active":true,"publicationSubtype":{"id":10}},"title":"Canopy and surface fuels measurement using terrestrial lidar single-scan approach in the Mogollon highlands of Arizona","docAbstract":"Fuel monitoring data are essential to evaluate wildfire risk, plan management activities and evaluate fuel treatment effects. Terrestrial light detection and ranging (lidar) is a field-based 3D scanning technology with great potential to reduce labor-intensive field measurements and provide new depths of vegetation structure data.
To facilitate the integration of terrestrial lidar into fuel monitoring programs, we developed a model, training process, and Python program that produces canopy fuel, surface fuel and terrain metrics commonly used in fire behavior and fire risk modeling.
We estimated canopy and surface fuel metrics from terrestrial lidar using a semi-empirical model incorporating physically based modeling of leaf area density and occlusion and a non-destructive model calibration process leveraging Bayesian regression. We compared lidar-derived fuel estimates with conventional fuel estimates across diverse conditions in semi-arid shrubland, woodland and forest in Arizona. We also compared estimates using single- and multiple-scan modes.
In single-scan mode, our lidar-derived fuel estimates were significantly related to conventional estimates of total canopy fuel load, maximum canopy bulk density, downed surface fuel load and standing surface fuel load.
Our methods provide opportunities to increase the scalability of fuel monitoring to better understand wildfire risk and treatment effectiveness.
Diamondback terrapins, hereafter referred to as terrapins, are the only estuarine turtle species native to North America. However, terrapins are also occasionally found in marine habitats, such as seagrass beds, and yet little is known about how they use those marine habitats. We sampled epidermis from terrapins (Malaclemys terrapin macrospilota) inhabiting a seagrass-dominated coastal bay in Northwest Florida and compared resource use among terrapin sexes and life-history stages using the isotopic niche and mixing models. Terrapins were generalist foragers, and their diets varied by sex and life stage, as has been reported elsewhere. Basal resource mixing models indicated the terrapin food web was based primarily on Thalassia testudinum for adult females (50.0%) and Spartina alterniflora for adult males (49.7%) and juvenile females (42.2%). Dietary mixing models indicated the adult female diet included a relatively high proportion of Thalassia testudinum (31.3%), suggesting a strong reliance on seagrass dominated prey and not necessarily large consumption of seagrass, followed by lower proportions of gastropods (26.6%) and crustaceans (19.1%). Primary diet items for juvenile females and adult males included relatively equal proportions of echinoderms, gastropods, crustaceans, ascidians, and porifera. Body and head size of terrapins may drive differences in diet, as interpreted from mixing model results. Although mangroves are expanding their range northward along the Gulf of America coast and have become established at our study site, it does not appear that terrapins are foraging within these newly established mangrove forests. Finally, the terrapin niche, particularly for adult females, may overlap with the sea turtle niche in seagrass-dominated bays. Whether sea turtles impact terrapin populations, including through direct predation, is unknown.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s12237-025-01568-3","usgsCitation":"Lamont, M., Arends, C.L., Catizone, D.J., and Vander Zanden, H.B., 2025, Diamondback terrapin resource use in a seagrass-dominated coastal bay varies by life stage: Estuaries and Coasts, v. 48, no. 5, 132, 12 p., https://doi.org/10.1007/s12237-025-01568-3.","productDescription":"132, 12 p.","ipdsId":"IP-169842","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":491453,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-025-01568-3","text":"Publisher Index Page"},{"id":491094,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"St. Joseph Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -85.42067407815058,\n 29.88845033015012\n ],\n [\n -85.42067407815058,\n 29.67807911729524\n ],\n [\n -85.28516563300288,\n 29.67807911729524\n ],\n [\n -85.28516563300288,\n 29.88845033015012\n ],\n [\n -85.42067407815058,\n 29.88845033015012\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"48","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-06-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Lamont, Margaret 0000-0001-7520-6669","orcid":"https://orcid.org/0000-0001-7520-6669","contributorId":206817,"corporation":false,"usgs":true,"family":"Lamont","given":"Margaret","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":940893,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arends, Carson L. 0000-0001-9962-8647","orcid":"https://orcid.org/0000-0001-9962-8647","contributorId":296689,"corporation":false,"usgs":true,"family":"Arends","given":"Carson","email":"","middleInitial":"L.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":940894,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Catizone, Daniel J. 0000-0002-7030-4208","orcid":"https://orcid.org/0000-0002-7030-4208","contributorId":248817,"corporation":false,"usgs":true,"family":"Catizone","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":940895,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vander Zanden, Hannah B.","contributorId":138885,"corporation":false,"usgs":false,"family":"Vander Zanden","given":"Hannah","email":"","middleInitial":"B.","affiliations":[{"id":12562,"text":"Department of Geology and Geophysics, University of Utah; Archie Carr Center for Sea Turtle Research, University of Florida","active":true,"usgs":false}],"preferred":false,"id":940896,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70268146,"text":"70268146 - 2025 - Multi-model comparison of salt marsh longevity under relative sea-level rise","interactions":[],"lastModifiedDate":"2025-06-16T13:57:23.958198","indexId":"70268146","displayToPublicDate":"2025-06-13T08:52:26","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Multi-model comparison of salt marsh longevity under relative sea-level rise","docAbstract":"Understanding salt marsh resilience under increasing sea levels can inform for management decisions. We compared temporal projections from various wetland process-based models and a geospatially derived metric (i.e., marsh lifespan) to understand key considerations and uncertainties about salt marsh resilience when using these products for decision-making. The influences of lidar topographic correction and marsh surface sediment accretion were explored across a suite of relative sea level rise (RSLR) projections to assess differences in the timing and amount of habitat change for each modeling approach. All models were run for a small coastal wetland site located in the Chesapeake Bay, Maryland, USA, to assess potential change in marsh habitat, and timing of marsh loss due to RSLR. All modeling results agreed that marsh longevity was threatened by RSLR but they varied in the time of predicted marsh submergence between the years 2070 and 2100 depending on the initial marsh surface elevation and accretion rates. Models with similar accretion rates predicted similar years until marsh submergence. Removing a positive elevation bias from lidar surveys in densely vegetated marsh areas for these models resulted in onset of submergence ~ 7 years earlier. Because there are many tradeoffs to each model type, end users need to evaluate management questions, overall goals, the amount of effort involved in model parameterization, and the amount of uncertainty in the model that they are willing to accept.
","language":"English","publisher":"Springer","doi":"10.1007/s12237-025-01559-4","usgsCitation":"Martinez, M., Buffington, K., Ganju, N., Defne, Z., Ackerman, K., Thorne, K., Guntenspergen, G.R., and Carr, J., 2025, Multi-model comparison of salt marsh longevity under relative sea-level rise: Estuaries and Coasts, v. 48, 131, 17 p., https://doi.org/10.1007/s12237-025-01559-4.","productDescription":"131, 17 p.","ipdsId":"IP-175115","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":491006,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-025-01559-4","text":"Publisher Index Page"},{"id":490750,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","county":"Kent County","otherGeospatial":"Eastern Neck Island National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.24030263498597,\n 39.05092670969253\n ],\n [\n -76.2464251064265,\n 39.02623477098268\n ],\n [\n -76.22111104181657,\n 39.0091277190638\n ],\n [\n -76.20939592819497,\n 39.005880153850384\n ],\n [\n -76.19532601786523,\n 39.010317858728\n ],\n [\n -76.20639356239224,\n 39.05275533676962\n ],\n [\n -76.22099330198093,\n 39.05568114506616\n ],\n [\n -76.24030263498597,\n 39.05092670969253\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"48","noUsgsAuthors":false,"publicationDate":"2025-06-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Martinez, Melinda 0000-0001-6652-9220","orcid":"https://orcid.org/0000-0001-6652-9220","contributorId":290467,"corporation":false,"usgs":true,"family":"Martinez","given":"Melinda","email":"","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":940339,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buffington, Kevin J. 0000-0001-9741-1241 kbuffington@usgs.gov","orcid":"https://orcid.org/0000-0001-9741-1241","contributorId":4775,"corporation":false,"usgs":true,"family":"Buffington","given":"Kevin","email":"kbuffington@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":940340,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ganju, Neil K. 0000-0002-1096-0465","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":202878,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":940341,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Defne, Zafer 0000-0003-4544-4310 zdefne@usgs.gov","orcid":"https://orcid.org/0000-0003-4544-4310","contributorId":5520,"corporation":false,"usgs":true,"family":"Defne","given":"Zafer","email":"zdefne@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":940342,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ackerman, Kate 0000-0003-3925-721X","orcid":"https://orcid.org/0000-0003-3925-721X","contributorId":293631,"corporation":false,"usgs":true,"family":"Ackerman","given":"Kate","email":"","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":940343,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thorne, Karen M. 0000-0002-1381-0657","orcid":"https://orcid.org/0000-0002-1381-0657","contributorId":204579,"corporation":false,"usgs":true,"family":"Thorne","given":"Karen M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":940344,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Guntenspergen, Glenn R. 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":2885,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":940345,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Carr, Joel A. 0000-0002-9164-4156 jcarr@usgs.gov","orcid":"https://orcid.org/0000-0002-9164-4156","contributorId":168645,"corporation":false,"usgs":true,"family":"Carr","given":"Joel A.","email":"jcarr@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":940346,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70268148,"text":"70268148 - 2025 - Not all spatially structured populations are metapopulations: Re-examining paradigms for a threatened shorebird","interactions":[],"lastModifiedDate":"2025-06-16T13:43:43.023749","indexId":"70268148","displayToPublicDate":"2025-06-13T08:35:54","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Not all spatially structured populations are metapopulations: Re-examining paradigms for a threatened shorebird","docAbstract":"For at-risk species, understanding population vital rates is imperative for developing informed conservation strategies and population models. Managers often assume that species that are spatially distributed among patches of suitable habitat meet the criteria of a metapopulation. Metapopulation dynamics are determined not only by within-patch birth and death processes but also by between-patch dispersal movements of individuals that are infrequent but critical to maintaining population viability across space and time. To conserve and manage such species, an understanding of all these vital rates, including connectivity, is required. The degree to which the northern Great Plains piping plover (Charadrius melodus) breeding population functions as a metapopulation depends, in part, on the rate of movement among patchily distributed breeding areas. Here, we examined annual adult survival and breeding dispersal probabilities for 2582 individuals at two spatial scales within the northern Great Plains piping plover breeding population between 2014 and 2019. Inconsistent with a metapopulation structure, annual survival varied minimally among breeding regions but did vary across years. We also found that breeding dispersal probabilities were temporally variable, high, and unbalanced at both spatial scales examined, suggesting high connectivity in contrast to metapopulation dynamics. Further, we detected context-dependent effects of reproductive success on dispersal decisions. Individuals were more likely to disperse from the northern Missouri River to the US Alkali Wetlands following nest failure due to inundation or severe storms (including in the year prior to dispersal), whereas dispersal from the US Alkali Wetlands to the northern Missouri River decreased following successful nest attempts. Individuals also decreased dispersal from the US Alkali Wetlands to the northern Missouri River in response to renesting attempts in both the year of interest and the year prior to dispersal. Our results contradict the paradigm that northern Great Plains piping plovers are structured as a metapopulation and instead suggest a patchily distributed, likely panmictic, population. Our findings have implications for the conservation and management of this listed species and are also a general reminder that in the absence of robust knowledge of movement, spatial variation in birth and death processes across patches should not be conflated with a metapopulation structure.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.70037","usgsCitation":"Swift, R.J., Anteau, M.J., Ellis, K.S., MacDonald, G.J., Ring, M., Sherfy, M.H., Toy, D.L., and Koons, D.N., 2025, Not all spatially structured populations are metapopulations: Re-examining paradigms for a threatened shorebird: Ecological Applications, v. 35, no. 4, e70037, 22 p., https://doi.org/10.1002/eap.70037.","productDescription":"e70037, 22 p.","ipdsId":"IP-159633","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":491308,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P145PZKB","text":"USGS data release","linkHelpText":"Piping plover adult breeding dispersal and annual survival in the northern Great Plains, USA, model code"},{"id":491004,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eap.70037","text":"Publisher Index 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0000-0002-9487-7721","orcid":"https://orcid.org/0000-0002-9487-7721","contributorId":238820,"corporation":false,"usgs":true,"family":"MacDonald","given":"Garrett","email":"","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":940357,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ring, Megan M. 0000-0001-8331-8492","orcid":"https://orcid.org/0000-0001-8331-8492","contributorId":225026,"corporation":false,"usgs":true,"family":"Ring","given":"Megan M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":940358,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sherfy, Mark H. 0000-0003-3016-4105 msherfy@usgs.gov","orcid":"https://orcid.org/0000-0003-3016-4105","contributorId":125,"corporation":false,"usgs":true,"family":"Sherfy","given":"Mark","email":"msherfy@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":940359,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Toy, Dustin L. 0000-0001-5390-5784 dtoy@usgs.gov","orcid":"https://orcid.org/0000-0001-5390-5784","contributorId":5150,"corporation":false,"usgs":true,"family":"Toy","given":"Dustin","email":"dtoy@usgs.gov","middleInitial":"L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":940360,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Koons, David N.","contributorId":28137,"corporation":false,"usgs":false,"family":"Koons","given":"David","email":"","middleInitial":"N.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":940361,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70268061,"text":"cir1556 - 2025 - U.S. Geological Survey Pollinator Science Strategy, 2025–35—A Review and Look Forward","interactions":[],"lastModifiedDate":"2025-12-15T18:12:11.353795","indexId":"cir1556","displayToPublicDate":"2025-06-12T12:33:57","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1556","title":"U.S. Geological Survey Pollinator Science Strategy, 2025–35—A Review and Look Forward","docAbstract":"This “U.S. Geological Survey Pollinator Science Strategy, 2025–35—A Review and Look Forward” (“Pollinator Science Strategy”) describes the science vision of the U.S. Geological Survey (USGS) to support management, conservation, and policy decisions on animal pollinators and their habitats. As the science arm of the Department of the Interior, the USGS has a primary role in providing scientific information to natural resource managers and policymakers across the United States. This “Pollinator Science Strategy” was drafted by a team of USGS pollinator researchers and was further developed through feedback from Federal, State, Tribal, nongovernmental organizations, and industry partners. This “Pollinator Science Strategy” highlights the USGS’s role in the research to promote healthy pollinator populations and address partner information gaps so they can make more informed management decisions. By outlining the importance of USGS science in addressing the information needs of other agencies, organizations, and the public, the “Pollinator Science Strategy” reaffirms the USGS’s commitment to pollinator research and showcases our research priorities for 2025–35.
With more than 300 research centers nationally, the USGS is equipped to address pollinator science across scales of complexity and geographic range. USGS pollinator science is organized according to the following five thematic areas:
Our pollinator information products and associated data are made widely available to the public to ensure scientific transparency and accessibility. This “Pollinator Science Strategy” concludes with several research goals that the USGS will work towards from 2025 to 2035, representing our vision for USGS science. These research goals include synthesizing and modernizing the latest information on pollinator threats, developing research that assists managers with habitat design and restoration, providing training to partners on native bee identification and monitoring design, and developing new technologies for assessing the status and trends of our nation’s pollinators.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1556","usgsCitation":"Otto, C.R.V., Graves, T.A., Robertson-Thompson, D., Pearse, I., Thogmartin, W.E., Murphy, C., Webb, L., Droege, S., Steinkamp, M., and Grundel, R., 2025, U.S. Geological Survey Pollinator Science Strategy, 2025–35—A review and look forward (ver. 1.1, June 26, 2025): U.S. Geological Survey Circular 1556, 16 p., https://doi.org/10.3133/cir1556.","productDescription":"vi, 16 p.","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-172990","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":5057,"text":"NGTOC Reston","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true},{"id":65882,"text":"Midwest Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":490448,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/circ/1556/images/"},{"id":490447,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/circ/1556/circ1556.XML"},{"id":490449,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/cir1556/full"},{"id":490446,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1556/circ1556.pdf","text":"Report","size":"26 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Cir 1556"},{"id":490445,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1556/coverthb4.jpg"},{"id":491238,"rank":6,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/circ/1556/versionHist.txt","size":"1 KB","linkFileType":{"id":2,"text":"txt"}}],"edition":"Version 1.0: June 12, 2025; Version 1.1: June 26, 2025","contact":"Director, Northern Prairie Wildlife Research Center
U.S. Geological Survey
8711 37th Street Southeast
Jamestown, ND 58401
Alluvial aquifers can provide ecosystem services and drinking water, but much remains unknown about human effects on aquifer microbiomes. Therefore, we used amplicon sequencing and hydrochemical characterization to pair microbial communities with environmental conditions across 37 alluvial aquifer wells. The study region spanned eastern Iowa and southern Minnesota (USA) and contained a combination of drinking water and monitoring wells. In terms of microbial ecology, dominant phyla across the wells included Proteobacteria, Bacteroidota, Patescibacteria, Planctomycetota, and Nitrospirota. Tritium, an indicator of infiltration and surface water influence, was the highest correlated variable with the Shannon index (α-diversity) by the Spearman rank sum (ρ = 0.60) and one of only four significant environmental variables in the constrained correspondence analysis. We built random forest regression models to predict tritium concentrations from microbial family relative abundance (held-out testing coefficient of determination (R2) = 0.77 and mean absolute percentage error = 7%) and interpreted the models with Shapley additive explanation values. The most important families for predicting tritium concentrations were Nitrosopumilaceae and Methylomirabilaceae. Upwelling methane could contribute to the unusual coupling of ammonia oxidation by Nitrosopumilaceae with simultaneous nitrite-dependent methane oxidation by Methylomirabilaceae. Taken together, we illuminate the relationship among hydrochemistry, hydraulic connectivity, and alluvial aquifer microbiomes.
","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.5c03155","usgsCitation":"Schroer, H., Markland, K.M., Ling, F., and Just, C.L., 2025, Hydraulic connectivity and hydrochemistry influence microbial community structure in agriculturally-affected alluvial aquifers in the Midwestern United States: Environmental Science and Technology, v. 59, no. 24, p. 12279-12291, https://doi.org/10.1021/acs.est.5c03155.","productDescription":"13 p.","startPage":"12279","endPage":"12291","ipdsId":"IP-169344","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":490985,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.5c03155","text":"Publisher Index Page"},{"id":490912,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa, Minnesota","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.83164241356687,\n 40.76134763192243\n ],\n [\n -91.10093521849011,\n 40.76936587633509\n ],\n [\n -90.98444609847996,\n 41.11334070983898\n ],\n [\n -91.07975626082516,\n 41.37610567914743\n ],\n [\n -90.60321047132624,\n 41.542769354616865\n ],\n [\n -90.25374320174629,\n 41.8669244399662\n ],\n [\n -93.07065717548669,\n 43.93016784084011\n ],\n [\n -93.73782127267788,\n 43.983536010475774\n ],\n [\n -93.97079768432694,\n 42.314858946682534\n ],\n [\n -93.85431056836552,\n 41.92210428808144\n ],\n [\n -91.83164241356687,\n 40.76134763192243\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"59","issue":"24","noUsgsAuthors":false,"publicationDate":"2025-06-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Schroer, Hunter","contributorId":356950,"corporation":false,"usgs":false,"family":"Schroer","given":"Hunter","affiliations":[{"id":85293,"text":"Civil, Architectural and Environmental Engineering, Missouri University of Science and Technology","active":true,"usgs":false}],"preferred":false,"id":940520,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Markland, Kendra M. 0000-0002-0276-8684 kmarkland@usgs.gov","orcid":"https://orcid.org/0000-0002-0276-8684","contributorId":306212,"corporation":false,"usgs":true,"family":"Markland","given":"Kendra","email":"kmarkland@usgs.gov","middleInitial":"M.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":940521,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ling, Fangqiong","contributorId":356951,"corporation":false,"usgs":false,"family":"Ling","given":"Fangqiong","affiliations":[{"id":85296,"text":"Department of Energy, Environmental, & Chemical Engineering, Washington University in St. Louis","active":true,"usgs":false}],"preferred":false,"id":940522,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Just, Craig L.","contributorId":178037,"corporation":false,"usgs":false,"family":"Just","given":"Craig","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":940523,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70268380,"text":"70268380 - 2025 - Assimilation of reduced carbon triggers platinum alloy saturation in mafic and ultramafic magmas","interactions":[],"lastModifiedDate":"2025-08-04T15:53:27.169903","indexId":"70268380","displayToPublicDate":"2025-06-12T09:09:33","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Assimilation of reduced carbon triggers platinum alloy saturation in mafic and ultramafic magmas","docAbstract":"It is generally observed that magmatic sulfide ores have higher ratios of Pd/Pt than the mantle-like values of their parental magmas. This discrepancy has defied simple explanation because the partitioning behavior of both elements between sulfide and silicate liquids is very similar. Assimilation of sulfur- and carbon-rich country rocks by mafic and ultramafic magmas is considered a critical, if not essential, step in the formation of magmatic base metal sulfide deposits. Although there is general consensus that the assimilation of external sulfur and carbon promotes sulfide saturation, the effect of carbon assimilation on the solubilities of platinum-group elements in natural S-bearing silicate melt has been overlooked. In this study, we investigate the variations of platinum and palladium solubilities during assimilation of graphite and methane through thermodynamic modeling, in comparison with data from an array of highly distinctive magmatic sulfide ore systems representing ages from Archean to Paleozoic, melt compositions from komatiite to basalt, and magmatic settings including lavas, hypabyssal intrusions, plutonic continental arc roots, and plutonic layered intrusions, namely: Raglan, Norilsk-Talnakh, Lac des Iles, and the J-M Reef of the Stillwater Complex. We model assimilation-fractional crystallization processes to estimate the reduction of oxygen fugacity (fO2) of the melt due to incorporation of graphite and methane. The simulations show that although Pd remains highly soluble during the progressive assimilation of reduced carbon, Pt solubility decreases significantly as the silicate melt becomes increasingly reduced. With less than 8% of sediment assimilation, Pt alloy may saturate and then deviate from sulfide-undersaturated silicate melts, concomitantly increasing the Pd/Pt value of the remaining melts of the Raglan and Norilsk-Talnakh systems. For the Lac des Iles and Stillwater systems, a higher extent of assimilation is needed to reach Pt saturation because of the relatively carbon-poor nature of the lower crustal rocks. The assimilation of methane volatiles is shown to be more effective than graphite assimilation, and it provides a pathway to Pt alloy fractionation in the absence of detectable amounts of bulk host-rock assimilation. High Pd/Pt values have been documented in many world-class magmatic sulfide deposits whose parental magmas have demonstrably experienced crustal contamination. Our model suggests that although anomalous Pd/Pt values may be explained by other mechanisms such as incongruent melting of preexisting sulfide or differences in the diffusivities of the metals within achieving equilibration, the assimilation of graphite or methane may play an important role in the global occurrence of magmatic sulfide ores with elevated Pd/Pt values.
","language":"English","publisher":"Society of Economic Geologists","doi":"10.5382/econgeo.5165","usgsCitation":"Li, Y., Smith, W.D., Jenkins, M., Yao, Z., and Mungall, J.E., 2025, Assimilation of reduced carbon triggers platinum alloy saturation in mafic and ultramafic magmas: Economic Geology, v. 120, no. 4, p. 1025-1036, https://doi.org/10.5382/econgeo.5165.","productDescription":"12 p.","startPage":"1025","endPage":"1036","ipdsId":"IP-151208","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":491179,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"120","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-06-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Li, Ying Zhou","contributorId":357308,"corporation":false,"usgs":false,"family":"Li","given":"Ying Zhou","affiliations":[{"id":85402,"text":"Carleton University; Saskatchewan Geological Survey","active":true,"usgs":false}],"preferred":false,"id":941157,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, William D.","contributorId":335361,"corporation":false,"usgs":false,"family":"Smith","given":"William","email":"","middleInitial":"D.","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":941158,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jenkins, Michael 0000-0002-4261-409X mjenkins@usgs.gov","orcid":"https://orcid.org/0000-0002-4261-409X","contributorId":172433,"corporation":false,"usgs":true,"family":"Jenkins","given":"Michael","email":"mjenkins@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":941159,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yao, Zhuosen","contributorId":357309,"corporation":false,"usgs":false,"family":"Yao","given":"Zhuosen","affiliations":[{"id":12433,"text":"China University of Geosciences","active":true,"usgs":false}],"preferred":false,"id":941160,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mungall, James E. 0000-0001-9726-8545","orcid":"https://orcid.org/0000-0001-9726-8545","contributorId":269537,"corporation":false,"usgs":false,"family":"Mungall","given":"James","email":"","middleInitial":"E.","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":941161,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70268974,"text":"70268974 - 2025 - A generalized deep learning model to detect and classify volcano seismicity","interactions":[],"lastModifiedDate":"2025-07-11T13:50:23.102749","indexId":"70268974","displayToPublicDate":"2025-06-12T08:44:58","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7593,"text":"Volcanica","active":true,"publicationSubtype":{"id":10}},"title":"A generalized deep learning model to detect and classify volcano seismicity","docAbstract":"Volcano seismicity is often detected and classified based on its spectral properties. However, the wide variety of volcano seismic signals and increasing amounts of data make accurate, consistent, and efficient detection and classification challenging. Machine learning (ML) has proven very effective at detecting and classifying tectonic seismicity, particularly using Convolutional Neural Networks (CNNs) and leveraging labeled datasets from regional seismic networks. Progress has been made applying ML to volcano seismicity, but efforts have typically been focused on a single volcano and are often hampered by the limited availability of training data. We build on the method of Tan et al. [2024] (10.1029/2024JB029194) to generalize a spectrogram-based CNN termed the VOlcano Infrasound and Seismic Spectrogram Neural Network (VOISS-Net) to detect and classify volcano seismicity at any volcano. We use a diverse training dataset of over 270,000 spectrograms from multiple volcanoes: Pavlof, Semisopochnoi, Tanaga, Takawangha, and Redoubt volcanoes\\replaced (Alaska, USA); Mt. Etna (Italy); and Kīlauea, Hawai`i (USA). These volcanoes present a wide range of volcano seismic signals, source-receiver distances, and eruption styles. Our generalized VOISS-Net model achieves an accuracy of 87 % on the test set. We apply this model to continuous data from several volcanoes and eruptions included within and outside our training set, and find that multiple types of tremor, explosions, earthquakes, long-period events, and noise are successfully detected and classified. The model occasionally confuses transient signals such as earthquakes and explosions and misclassifies seismicity not included in the training dataset (e.g. teleseismic earthquakes). We envision the generalized VOISS-Net model to be applicable in both research and operational volcano monitoring settings.
We use the Third Uniform California Earthquake Rupture Forecast Epidemic Type Aftershock Sequence model, which is fully time-dependent in terms of including spatiotemporal clustering, to evaluate the effects of the Poisson assumption and declustering algorithms on statewide loss exceedance curves. The model is simulation based, meaning it produces synthetic catalogs that exhibit realistic behavior with respect to aftershocks and multi-fault earthquakes. A Poisson version of the model was constructed by randomizing event times, and the influence of two declustering algorithms was examined as well. We demonstrate that the probability of one-or-more loss exceedances (occurrence exceedance probability) is greater for the Poisson model because it has fewer seismically quiet time windows. The discrepancy between dollar loss estimates with a given exceedance probability is up to a factor of 32% but varies depending on the loss threshold (the x-axis value) and the forecast duration (we examined a range between 24 h and 50 years, with the discrepancy for the latter being negligible). We discuss how the one-or-more loss exceedance metric is questionable because it ignores all but the maximum loss experienced in each timeframe. An alternative metric based on total aggregate loss in each time window (aggregate exceedance probability) was therefore also examined, for which the Poisson model again implies higher risk at intermediate losses but lower risk at higher losses (because large, triggered events now contribute to total aggregate losses for the fully time-dependent model). We also argue that declustering is not a scientifically justifiable way to deal with full time dependence, in agreement with a chorus from other recent studies. It is difficult to draw generally applicable conclusions from our study, in part because application specific details will likely be important, but our results highlight how full time dependence can be reckoned with once authoritative forecast models are made available.
","language":"English","publisher":"Earthquake Engineering Research Institute","doi":"10.1177/87552930251340677","usgsCitation":"Field, E.H., Milner, K., and Porter, K.A., 2025, Risk implications of Poisson assumptions and declustering inferred from a fully time-dependent earthquake forecast: Earthquake Spectra, v. 41, no. 3, p. 1977-1997, https://doi.org/10.1177/87552930251340677.","productDescription":"21 p.","startPage":"1977","endPage":"1997","ipdsId":"IP-175972","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":497866,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"41","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-06-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Field, Edward H. 0000-0001-8172-7882 field@usgs.gov","orcid":"https://orcid.org/0000-0001-8172-7882","contributorId":52242,"corporation":false,"usgs":true,"family":"Field","given":"Edward","email":"field@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":952738,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Milner, Kevin Ross 0000-0002-9118-6378","orcid":"https://orcid.org/0000-0002-9118-6378","contributorId":352491,"corporation":false,"usgs":true,"family":"Milner","given":"Kevin Ross","affiliations":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"preferred":true,"id":952739,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Porter, Keith A.","contributorId":364481,"corporation":false,"usgs":false,"family":"Porter","given":"Keith","middleInitial":"A.","affiliations":[{"id":86826,"text":"Institute for Catastrophic Loss Reduction, London, ON, Canada","active":true,"usgs":false}],"preferred":false,"id":952740,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70268302,"text":"70268302 - 2025 - Human perturbations to mercury in global rivers","interactions":[],"lastModifiedDate":"2025-06-20T15:03:57.600684","indexId":"70268302","displayToPublicDate":"2025-06-11T10:03:31","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"Human perturbations to mercury in global rivers","docAbstract":"Mercury compounds are potent neurotoxins that pose threats to human health, primarily through fish consumption. Rivers, critical for drinking water and food supply, have seen rapid increases in mercury concentrations and export to coastal margins since the Industrial Revolution (~1850). However, patterns of these changes remain understudied, limiting assessments of environmental policies. Here, we develop a global model to simulate preindustrial riverine total mercury and assess human perturbations by comparing it to present-day conditions. We find that global rivers transported ~390 megagrams annually of mercury to the oceans in the preindustrial era, with spatial variability. Human activities have elevated riverine mercury budgets by two to three times in the present day. Establishing a baseline riverine mercury level, our findings reveal rapid responses of riverine mercury to human perturbations and could be used to inform targets for global riverine mercury restoration. Total riverine mercury concentrations could also be used as indicators to comprehensively understand the effectiveness of mercury pollution governance.
","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/sciadv.adw0471","usgsCitation":"Peng, D., Tan, Z., Yuan, T., Wu, P., Song, Z., Zhang, P., Huang, S., Zhang, Y., Lei, T., Middleton, B., Sonke, J., Lei, G., and Gao, J., 2025, Human perturbations to mercury in global rivers: Science Advances, v. 11, no. 24, eadw0471, 13 p., https://doi.org/10.1126/sciadv.adw0471.","productDescription":"eadw0471, 13 p.","ipdsId":"IP-162091","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":491449,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.adw0471","text":"Publisher Index Page"},{"id":491027,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"24","noUsgsAuthors":false,"publicationDate":"2025-06-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Peng, Dong","contributorId":357103,"corporation":false,"usgs":false,"family":"Peng","given":"Dong","affiliations":[{"id":51913,"text":"Nanjing University","active":true,"usgs":false}],"preferred":false,"id":940738,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tan, Zeli","contributorId":297281,"corporation":false,"usgs":false,"family":"Tan","given":"Zeli","email":"","affiliations":[{"id":28004,"text":"Pacific Northwest National Laboratory, Richland, WA, USA","active":true,"usgs":false}],"preferred":false,"id":940739,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yuan, Tengfei","contributorId":357107,"corporation":false,"usgs":false,"family":"Yuan","given":"Tengfei","affiliations":[{"id":13500,"text":"Tulane University","active":true,"usgs":false}],"preferred":false,"id":940740,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wu, Peipei","contributorId":357110,"corporation":false,"usgs":false,"family":"Wu","given":"Peipei","affiliations":[{"id":38724,"text":"Scripps Institution of Oceanography, University of California San Diego","active":true,"usgs":false}],"preferred":false,"id":940741,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Song, Zhengcheng","contributorId":357113,"corporation":false,"usgs":false,"family":"Song","given":"Zhengcheng","affiliations":[{"id":51913,"text":"Nanjing University","active":true,"usgs":false}],"preferred":false,"id":940742,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhang, Peng","contributorId":357116,"corporation":false,"usgs":false,"family":"Zhang","given":"Peng","affiliations":[{"id":51913,"text":"Nanjing University","active":true,"usgs":false}],"preferred":false,"id":940743,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Huang, Shaojian","contributorId":357119,"corporation":false,"usgs":false,"family":"Huang","given":"Shaojian","affiliations":[{"id":51913,"text":"Nanjing University","active":true,"usgs":false}],"preferred":false,"id":940744,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zhang, Yanxu","contributorId":357122,"corporation":false,"usgs":false,"family":"Zhang","given":"Yanxu","affiliations":[{"id":13500,"text":"Tulane University","active":true,"usgs":false}],"preferred":false,"id":940745,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lei, Ting","contributorId":245022,"corporation":false,"usgs":false,"family":"Lei","given":"Ting","affiliations":[{"id":40912,"text":"Beijing Forestry","active":true,"usgs":false}],"preferred":false,"id":940746,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Middleton, Beth 0000-0002-1220-2326","orcid":"https://orcid.org/0000-0002-1220-2326","contributorId":206684,"corporation":false,"usgs":true,"family":"Middleton","given":"Beth","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":940747,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sonke, Jeroen E.","contributorId":357124,"corporation":false,"usgs":false,"family":"Sonke","given":"Jeroen E.","affiliations":[{"id":85336,"text":"Géosciences Environnement Toulouse, CNRS/IRD/Université de Toulouse, France","active":true,"usgs":false}],"preferred":false,"id":940748,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lei, Guangchun","contributorId":259278,"corporation":false,"usgs":false,"family":"Lei","given":"Guangchun","email":"","affiliations":[],"preferred":false,"id":940749,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Gao, Jianhua","contributorId":357125,"corporation":false,"usgs":false,"family":"Gao","given":"Jianhua","affiliations":[{"id":51913,"text":"Nanjing University","active":true,"usgs":false}],"preferred":false,"id":940750,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70268294,"text":"70268294 - 2025 - Population growth of threatened Gulf Sturgeon may be limited by the frequency of adult episodic mortality events","interactions":[],"lastModifiedDate":"2025-06-20T14:47:48.754686","indexId":"70268294","displayToPublicDate":"2025-06-11T09:42:26","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":20748,"text":"Marine and Coastal Fisheries: Dynamics, Management and Ecosystem Science","active":true,"publicationSubtype":{"id":10}},"title":"Population growth of threatened Gulf Sturgeon may be limited by the frequency of adult episodic mortality events","docAbstract":"We identified spatial and temporal variation in population trends for Gulf Sturgeon Acipenser desotoi (previously known as Acipenser oxyrinchus desotoi) across the species’ range to inform recovery strategies. We also assessed whether adult survival or recruitment more strongly influences population change.
We analyzed adult Gulf Sturgeon capture–recapture data from 1990 to 2022 across seven Gulf of Mexico river systems. Using temporal symmetry models and fixed estimates of adult survival from a companion study, we estimated seniority probability (γi + 1), capture probability (p), recruitment (f), and population growth rate (λ) for adult fish. Models were compared using Akaike information criterion adjusted for small sample sizes, and parameter estimates were derived at both river-specific and rangewide scales.
Adult survival (φ) was the primary driver of λ across the species’ range, with γ consistently >0.5 in most rivers and time periods. While rangewide λ suggested stable or slightly increasing adult populations, river-level trends varied. Recent declines in λ and f were observed in the Escambia, Apalachicola, and Suwannee rivers—systems affected by red tide, hurricanes, or oil exposure following the Deepwater Horizon spill. Capture probabilities remained low across rivers and time periods.
Long-term recovery of Gulf Sturgeon is likely more sensitive to adult survival than recruitment to the adult population. Population trajectories differ across rivers and may reflect both demographic changes and inconsistencies in monitoring. Restoring consistent, standardized adult monitoring in select rivers will improve the ability to detect meaningful trends and guide conservation efforts focused on minimizing adult mortality.
Developing conservation strategies for species vulnerable to the effects of climate change, like polar bears (Ursus maritimus), can be challenging given the uncertainty of future environmental conditions. Effective conservation planning requires identifying and ranking threats to the persistence of polar bears throughout their circumpolar range and then assessing the ability of mitigative actions to aid in meeting plan objectives. We used a Bayesian network model to (1) characterize the relative importance of multiple biotic and anthropogenic stressors on four ecoregional polar bear populations, at two future decadal time periods, and based on two Intergovernmental Panel on Climate Change (IPCC) greenhouse gas emissions scenarios (Shared Socioeconomic Pathways [SSPs] 2.6 [low] and 8.5 [high]); and (2) identify achievable management actions that may enhance the prospects of long-term persistence. Normative model runs indicated that populations in all four ecoregions incurred increasing probabilities of being decreased or greatly decreased over time. The probabilities of polar bear populations being decreased or greatly decreased from mid- to end of the century ranged from ~55% to 87% for the SSP 2.6 emissions scenario, and 82% to 94% for the SSP 8.5 emissions scenario among ecoregions. Arctic sea ice conditions and marine prey availability had the greatest influences on future polar bear population outcomes and overrode any relative influence from all other stressors. Hunting mortality was the most influential individual anthropogenic stressor in the Archipelago and Seasonal Ice Ecoregions, whereas terrestrial refugia quality grouped with various anthropogenic activities or factors (e.g., resource extraction, oil spill) was most influential for the Polar Basin Divergent Ice and Polar Basin Convergent Ice ecoregions. Our findings indicate that near-term proactive management of multiple anthropogenic stressors could cumulatively reduce the decline in populations such that if future sea ice habitat loss is eventually curtailed, population abundance would be greater than it would have been otherwise. Additionally, our findings suggest that there is value in tailoring management actions to address ecoregion-specific threats, which may prove useful in informing the development of future circumpolar conservation plans.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70316","usgsCitation":"Atwood, T.C., Marcot, B.G., Douglas, D., Bromaghin, J.F., and Pagano, A.M., 2025, Assessing the combined influence of biotic and anthropogenic stressors on polar bears to inform conservation planning: Ecosphere, v. 16, no. 6, e70316, 18 p., https://doi.org/10.1002/ecs2.70316.","productDescription":"e70316, 18 p.","ipdsId":"IP-171776","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":502995,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70316","text":"Publisher Index Page"},{"id":502740,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Arctic region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -179.9,\n 85\n ],\n [\n -179.9,\n 49.40470578748864\n ],\n [\n 179.9,\n 49.40470578748864\n ],\n [\n 179.9,\n 85\n ],\n [\n -179.9,\n 85\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"16","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"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":959320,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marcot, Bruce G.","contributorId":140456,"corporation":false,"usgs":false,"family":"Marcot","given":"Bruce","email":"","middleInitial":"G.","affiliations":[{"id":12647,"text":"U.S. Forest Service, Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":959321,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":150115,"corporation":false,"usgs":true,"family":"Douglas","given":"David C.","email":"ddouglas@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","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":959322,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bromaghin, Jeffrey F. 0000-0002-7209-9500 jbromaghin@usgs.gov","orcid":"https://orcid.org/0000-0002-7209-9500","contributorId":139899,"corporation":false,"usgs":true,"family":"Bromaghin","given":"Jeffrey","email":"jbromaghin@usgs.gov","middleInitial":"F.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":959323,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pagano, Anthony M. 0000-0003-2176-0909 apagano@usgs.gov","orcid":"https://orcid.org/0000-0003-2176-0909","contributorId":3884,"corporation":false,"usgs":true,"family":"Pagano","given":"Anthony","email":"apagano@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":959324,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70268116,"text":"70268116 - 2025 - High-pass corner frequency selection and review tool for use in ground-motion processing","interactions":[],"lastModifiedDate":"2025-09-09T14:38:21.181387","indexId":"70268116","displayToPublicDate":"2025-06-11T08:49:27","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"High-pass corner frequency selection and review tool for use in ground-motion processing","docAbstract":"Raw seismological waveform data contain noise from the instrument’s surroundings and the instrument itself that can dominate recordings at low and high frequencies. To use these data in ground‐motion modeling, the effects of noise on the signals must be reduced and the signals’ usable frequency range identified. We present automated procedures to efficiently reduce low‐frequency noise that are implemented in the software package gmprocess. These procedures check for, and as needed remove, low‐frequency artifacts in the displacement record using polynomial fits, which can be used in combination with existing signal‐to‐noise ratio (SNR)‐based corner‐frequency selection procedures. The automated selections are then efficiently verified and refined using a graphical user interface (GUI) that plots relevant ground‐motion time series and spectra and tracks modifications to signal processing parameters. We demonstrate these procedures using recordings from the 2020 M 5.1 Sparta, North Carolina, and the 2013 M 4.7 southern Ontario earthquakes. Data processed with the SNR‐only and polynomial criteria for these events contain displacement artifacts in 37% and 23% of processed traces, respectively. Records with remaining artifacts are corrected manually using the GUI. These processing steps illustrate the workflow for efficient data processing with quality control.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220240265","usgsCitation":"Ramos-Sepulveda, M.E., Brandenberg, S.J., Buckreis, T.E., Parker, G.A., and Stewart, J., 2025, High-pass corner frequency selection and review tool for use in ground-motion processing: Seismological Research Letters, v. 96, no. 5, p. 3244-3252, https://doi.org/10.1785/0220240265.","productDescription":"9 p.","startPage":"3244","endPage":"3252","ipdsId":"IP-163865","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":490720,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"96","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-06-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Ramos-Sepulveda, Maria E.","contributorId":294748,"corporation":false,"usgs":false,"family":"Ramos-Sepulveda","given":"Maria","email":"","middleInitial":"E.","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":940267,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brandenberg, Scott J.","contributorId":303895,"corporation":false,"usgs":false,"family":"Brandenberg","given":"Scott","email":"","middleInitial":"J.","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":940268,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buckreis, Tristan E","contributorId":295733,"corporation":false,"usgs":false,"family":"Buckreis","given":"Tristan","email":"","middleInitial":"E","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":940269,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parker, Grace Alexandra 0000-0002-9445-2571","orcid":"https://orcid.org/0000-0002-9445-2571","contributorId":237091,"corporation":false,"usgs":true,"family":"Parker","given":"Grace","email":"","middleInitial":"Alexandra","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":940270,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stewart, Jonathan P.","contributorId":350854,"corporation":false,"usgs":false,"family":"Stewart","given":"Jonathan P.","affiliations":[{"id":83855,"text":"University of California, Los Angeles, U.S.A.","active":true,"usgs":false}],"preferred":false,"id":940271,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70268102,"text":"70268102 - 2025 - Bioaccumulation and trophic transfer of selenium in a large oligotrophic river","interactions":[],"lastModifiedDate":"2025-11-19T14:19:13.03245","indexId":"70268102","displayToPublicDate":"2025-06-11T08:18:38","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Bioaccumulation and trophic transfer of selenium in a large oligotrophic river","docAbstract":"In flowing waters with elevated selenium concentrations, fish are often considered to be at risk from selenium toxicity owing to dietary exposure and accumulation in ovary tissues and subsequent deformities in developing larvae. We studied selenium throughout components of the aquatic food webs at geomorphically distinct locations along the oligotrophic Kootenai River (Montana and Idaho, USA), a river with moderately elevated dissolved selenium concentrations (~ 1 µg/L). Components included water, sediment, freshly accrued biofilms, in-situ periphyton, sestonic detritus, aquatic invertebrates, and fish, with spring and fall sampling. Selenium concentrations were similar among the sediment, biofilm, periphyton, and detritus samples with most concentrations ranging between 0.5 to 2.0 (mg/kg dry weight (dw)). Among the aquatic invertebrates, the highest selenium concentrations were observed in Paraleptophlebia sp. mayflies (>15 mg/kg dw) and oligochaetes (>30 mg/kg dw). Selenium in chironomids was higher in the spring than fall, but otherwise, no consistent concentration patterns with season or feeding traits were observed. Fish tissue selenium concentrations were highly variable among species and tissue type. Selenium in fish tissues tended to be highest in livers of rainbow trout and mountain whitefish relative to egg/ovary, muscle, and carcass tissue. With northern pikeminnow, redside shiner, and slimy sculpin, selenium concentrations tended to be highest in ovary tissues. For example, selenium in rainbow trout livers ranged from an average (range) of 37 (4.5 to 151) compared to 8.7 (2.7 to 12.3) in northern pikeminnow livers. Egg/ovary concentrations ranged from a high of 26 (10.7 to 64) in redside shiner in contrast to 12.2 (6.9 to 17) mg/kg dw in slimy sculpin. A drawback of the fish-tissue approach to monitoring and managing selenium risks in freshwaters is the need to kill multiple fish per site and event. Potential alternative monitoring approaches are illustrated using aquatic invertebrates or using the food web monitoring results to derive monitoring targets for selenium in water or invertebrate tissue that could avoid the need to kill fish to assess whether fish protection guidelines are met.","language":"English","publisher":"Oxford University Press","doi":"10.1093/etojnl/vgaf149","usgsCitation":"Mebane, C.A., Stewart, A.R., Murray, E., Short, T., Kocen, V., and Zinsser, L.M., 2025, Bioaccumulation and trophic transfer of selenium in a large oligotrophic river: Environmental Toxicology and Chemistry, v. 44, no. 10, p. 2864-2888, https://doi.org/10.1093/etojnl/vgaf149.","productDescription":"25 p.; Data Release","startPage":"2864","endPage":"2888","ipdsId":"IP-152806","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":490999,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/etojnl/vgaf149","text":"Publisher Index Page"},{"id":490930,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XUP6GT","text":"USGS data release","linkHelpText":"Selenium in water, sediment, periphyton, benthic invertebrate and fish tissues from the Kootenai River, Idaho and Montana"},{"id":490711,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana","otherGeospatial":"Kootenai River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.60365905932548,\n 49.0066674443394\n ],\n [\n -116.60365905932548,\n 48.32358707536375\n ],\n [\n -115.03847921340105,\n 48.32358707536375\n ],\n [\n -115.03847921340105,\n 49.0066674443394\n ],\n [\n -116.60365905932548,\n 49.0066674443394\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"44","issue":"10","noUsgsAuthors":false,"publicationDate":"2025-06-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Mebane, Christopher A. 0000-0002-9089-0267 cmebane@usgs.gov","orcid":"https://orcid.org/0000-0002-9089-0267","contributorId":110,"corporation":false,"usgs":true,"family":"Mebane","given":"Christopher","email":"cmebane@usgs.gov","middleInitial":"A.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":940216,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stewart, A. Robin 0000-0003-2918-546X arstewar@usgs.gov","orcid":"https://orcid.org/0000-0003-2918-546X","contributorId":1482,"corporation":false,"usgs":true,"family":"Stewart","given":"A.","email":"arstewar@usgs.gov","middleInitial":"Robin","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":40553,"text":"WMA - Office of the Chief Operating Officer","active":true,"usgs":true}],"preferred":true,"id":940217,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murray, Erin 0000-0002-5007-3449","orcid":"https://orcid.org/0000-0002-5007-3449","contributorId":205705,"corporation":false,"usgs":true,"family":"Murray","given":"Erin","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":940218,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Short, Terry M. 0000-0001-9941-4593","orcid":"https://orcid.org/0000-0001-9941-4593","contributorId":292135,"corporation":false,"usgs":false,"family":"Short","given":"Terry M.","affiliations":[{"id":7065,"text":"USGS emeritus","active":true,"usgs":false}],"preferred":false,"id":940219,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kocen, Veronika A. 0009-0006-9144-8549","orcid":"https://orcid.org/0009-0006-9144-8549","contributorId":336552,"corporation":false,"usgs":true,"family":"Kocen","given":"Veronika A.","affiliations":[{"id":40553,"text":"WMA - Office of the Chief Operating Officer","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":940220,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zinsser, Lauren M. 0000-0002-8582-066X","orcid":"https://orcid.org/0000-0002-8582-066X","contributorId":205756,"corporation":false,"usgs":true,"family":"Zinsser","given":"Lauren","email":"","middleInitial":"M.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":940221,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70268846,"text":"70268846 - 2025 - Estimating disease prevalence from preferentially sampled, pooled data","interactions":[],"lastModifiedDate":"2025-07-08T15:00:11.237294","indexId":"70268846","displayToPublicDate":"2025-06-11T07:51:53","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5531,"text":"Journal of Data Science","onlineIssn":"1683-8602","printIssn":"1680-743X","active":true,"publicationSubtype":{"id":10}},"title":"Estimating disease prevalence from preferentially sampled, pooled data","docAbstract":"Invertebrates, such as brine shrimp and brine flies, are key prey items for millions of resident and migratory birds that utilize saline lakes such as Great Salt Lake (GSL). Elevated methylmercury (MeHg) in invertebrate and waterfowl species of GSL has been assumed to be linked to elevated MeHg in GSL’s anoxic Deep Brine Layer (DBL) where aqueous concentrations can exceed 30 ng/L. Here, we leverage mercury (Hg) concentration and stable isotope measurements on brine flies (Ephydra hians and Ephydra cinerea), brine shrimp (Artemia franciscana), and spider (western spotted orbweaver [Neoscona oaxacensis]) to examine temporal changes in Hg concentrations and sources during periods of DBL presence and absence. Mercury concentrations in brine flies were inversely correlated with lake level and directly correlated with salinity, possibly resulting from factors such as enhanced Hg bioaccumulation due to osmoregulatory stress and stunted growth and/or elevated salinities impacting composition, abundance, and Hg concentrations of food sources. DBL presence did not correspond to higher invertebrate Hg concentrations, highlighting that the DBL is not the primary source of MeHg to biota. Hg stable isotope signatures (Δ199Hg and δ202Hg) in brine shrimp varied seasonally and indicated greater cumulative photochemical Hg loss from the water column in late summer and fall months. Co-located brine fly and western spotted orbweaver samples show equivalent Δ199Hg and δ202Hg signatures, supporting Hg transfer from the aquatic to terrestrial food webs. Furthermore, Hg isotope results (Δ200Hg) indicate that the majority of Hg accumulating in GSL invertebrates is of atmospheric origin. This study highlights temporal controls on Hg bioaccumulation within GSL, which will help assess Hg cycling within the system in response to management actions and declining lake levels.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.watres.2025.123946","usgsCitation":"Lopez, S.F., Janssen, S., Tate, M., Black, F., Mcilwain, H.E., Flucke, L.E., Ogorek, J.M., and Johnson, W.P., 2025, Application of mercury stable isotopes to examine sources and hydrologic factors impacting mercury bioaccumulation and cycling in invertebrates of a model saline lake: Water Research, v. 284, 123946, 11 p., https://doi.org/10.1016/j.watres.2025.123946.","productDescription":"123946, 11 p.","ipdsId":"IP-170249","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":490638,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.watres.2025.123946","text":"Publisher Index Page"},{"id":490369,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Great Salt Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -113.05436301553972,\n 41.691198839643846\n ],\n [\n -113.05436301553972,\n 40.60652820274288\n ],\n [\n -111.83210764656587,\n 40.60652820274288\n ],\n [\n -111.83210764656587,\n 41.691198839643846\n ],\n [\n -113.05436301553972,\n 41.691198839643846\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"284","noUsgsAuthors":false,"publicationDate":"2025-06-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Lopez, Samuel Francisco 0000-0002-3544-7465","orcid":"https://orcid.org/0000-0002-3544-7465","contributorId":344607,"corporation":false,"usgs":true,"family":"Lopez","given":"Samuel","email":"","middleInitial":"Francisco","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":939961,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Janssen, Sarah E. 0000-0003-4432-3154","orcid":"https://orcid.org/0000-0003-4432-3154","contributorId":210991,"corporation":false,"usgs":true,"family":"Janssen","given":"Sarah E.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":939962,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tate, Michael T. 0000-0003-1525-1219 mttate@usgs.gov","orcid":"https://orcid.org/0000-0003-1525-1219","contributorId":3144,"corporation":false,"usgs":true,"family":"Tate","given":"Michael T.","email":"mttate@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":939963,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Black, Frank J.","contributorId":356762,"corporation":false,"usgs":false,"family":"Black","given":"Frank J.","affiliations":[{"id":85208,"text":"Westminster University","active":true,"usgs":false}],"preferred":false,"id":939964,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mcilwain, Hannah Erin 0000-0002-8016-785X","orcid":"https://orcid.org/0000-0002-8016-785X","contributorId":296905,"corporation":false,"usgs":true,"family":"Mcilwain","given":"Hannah","email":"","middleInitial":"Erin","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":939965,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Flucke, Laura Elizabeth 0009-0002-7335-6828","orcid":"https://orcid.org/0009-0002-7335-6828","contributorId":304726,"corporation":false,"usgs":true,"family":"Flucke","given":"Laura","email":"","middleInitial":"Elizabeth","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":939966,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ogorek, Jacob M. 0000-0002-6327-0740 jmogorek@usgs.gov","orcid":"https://orcid.org/0000-0002-6327-0740","contributorId":4960,"corporation":false,"usgs":true,"family":"Ogorek","given":"Jacob","email":"jmogorek@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":939967,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Johnson, William P.","contributorId":107288,"corporation":false,"usgs":false,"family":"Johnson","given":"William","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":939968,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70272245,"text":"70272245 - 2025 - Quantifying the substantive influence of public comment on United States federal environmental decisions under NEPA","interactions":[],"lastModifiedDate":"2025-11-20T15:46:01.51476","indexId":"70272245","displayToPublicDate":"2025-06-10T08:41:16","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying the substantive influence of public comment on United States federal environmental decisions under NEPA","docAbstract":"A citizen’s right to comment on, and criticize, government decisions makes a difference. The U.S. National Environmental Policy Act of 1969 (NEPA) institutionalized public engagement in environmental review in the belief it would lead to better decisions and more sustainable outcomes. But, 50 years later, NEPA’s public comment process has been criticized as costly and slow, while doing little to change outcomes. Data science now makes it possible to track progress and evaluate the influence of public participation. We examined 108 environmental impact statement (EIS) processes spanning 22 years. Our analysis revealed that public comments resulted in substantive decision alterations in 62% of cases, with 64% showing modifications to alternatives, 42% showing modifications to mitigation plans and 11% leading to the selection of an entirely new preferred alternative. When federal agencies changed project alternatives (78 EISs), 88% of the time (69 of the 78 EISs) they credited public comments as the reason. In 45 of the 108 EISs, agencies modified mitigation plans and credited public comments as the reason 100% of the time. Agencies only occasionally selected a new preferred alternative (21 out of 104 EISs), but when they did, they credited public comments as the reason 100% of the time. As the United States and the 190+ states and countries that have adopted NEPA’s example consider how to address environmental change, it is important to assess the role of public participation in environmental decision making. Our data say public comments matter.
","language":"English","publisher":"IOPscience","doi":"10.1088/1748-9326/addee5","usgsCitation":"Stava, A., Thogmartin, W.E., Merideth, R., Bethard, S., Currim, F., Derbridge, J.J., Emerson, K., Laparra, E., Lien, A., McGovern, E., Pidot, J., Miller, M., Romero-Carvenas, K., Smith, B., Winnebald, C., and Lopez-Hoffman, L., 2025, Quantifying the substantive influence of public comment on United States federal environmental decisions under NEPA: Environmental Research Letters, v. 20, 074028, 12 p., https://doi.org/10.1088/1748-9326/addee5.","productDescription":"074028, 12 p.","ipdsId":"IP-169563","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":496757,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/addee5","text":"Publisher Index Page"},{"id":496686,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","noUsgsAuthors":false,"publicationDate":"2025-06-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Stava, Ashley","contributorId":362474,"corporation":false,"usgs":false,"family":"Stava","given":"Ashley","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":950557,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":950558,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Merideth, Robert","contributorId":220060,"corporation":false,"usgs":false,"family":"Merideth","given":"Robert","affiliations":[{"id":33382,"text":"Udall Center for Studies in Public Policy","active":true,"usgs":false}],"preferred":false,"id":950559,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bethard, Steven","contributorId":362476,"corporation":false,"usgs":false,"family":"Bethard","given":"Steven","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":950560,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Currim, Faiz","contributorId":362478,"corporation":false,"usgs":false,"family":"Currim","given":"Faiz","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":950561,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Derbridge, Jonathan J.","contributorId":362480,"corporation":false,"usgs":false,"family":"Derbridge","given":"Jonathan","middleInitial":"J.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":950562,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Emerson, Kirk","contributorId":171623,"corporation":false,"usgs":false,"family":"Emerson","given":"Kirk","affiliations":[{"id":26929,"text":"University of Arizona, School of Natural Resources and the Environment","active":true,"usgs":false}],"preferred":false,"id":950563,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Laparra, Egoitz","contributorId":362483,"corporation":false,"usgs":false,"family":"Laparra","given":"Egoitz","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":950564,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lien, Aaron M.","contributorId":338453,"corporation":false,"usgs":false,"family":"Lien","given":"Aaron M.","affiliations":[{"id":40855,"text":"UA","active":true,"usgs":false}],"preferred":false,"id":950565,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"McGovern, Emily","contributorId":362487,"corporation":false,"usgs":false,"family":"McGovern","given":"Emily","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":950566,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Pidot, Justin","contributorId":362728,"corporation":false,"usgs":false,"family":"Pidot","given":"Justin","affiliations":[],"preferred":false,"id":950734,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Miller, Marc","contributorId":362490,"corporation":false,"usgs":false,"family":"Miller","given":"Marc","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":950567,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Romero-Carvenas, Krista","contributorId":362493,"corporation":false,"usgs":false,"family":"Romero-Carvenas","given":"Krista","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":950568,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Smith, Blaze","contributorId":362495,"corporation":false,"usgs":false,"family":"Smith","given":"Blaze","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":950569,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Winnebald, Carly","contributorId":362498,"corporation":false,"usgs":false,"family":"Winnebald","given":"Carly","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":950570,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Lopez-Hoffman, Laura","contributorId":338457,"corporation":false,"usgs":false,"family":"Lopez-Hoffman","given":"Laura","affiliations":[{"id":40855,"text":"UA","active":true,"usgs":false}],"preferred":false,"id":950571,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70267590,"text":"ofr20251028 - 2025 - Preliminary field report of landslide hazards following Hurricane Helene","interactions":[],"lastModifiedDate":"2025-08-14T19:21:57.113137","indexId":"ofr20251028","displayToPublicDate":"2025-06-09T10:45:00","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":"2025-1028","displayTitle":"Preliminary Field Report of Landslide Hazards Following Hurricane Helene","title":"Preliminary field report of landslide hazards following Hurricane Helene","docAbstract":"This report reflects our knowledge regarding the widespread landslide activity associated with Hurricane Helene observed during the U.S. Geological Survey’s (USGS) mission assignment to North Carolina in October 2024. The material in this report was originally prepared for the Federal Emergency Management Agency under mission assignment DR-4827-NC. The data and commentary in this report are reflective of a report provided to the Federal Emergency Management Agency (FEMA) on October 18, 2024, as well as information provided in briefings at the Buncombe County Emergency Operations Center. The report has been modified for public dissemination.
This assessment was based on systematic visual examination and mapping of landslide locations from aerial and satellite imagery, visual and photographic observations from low-level helicopter overflights and conversations with local landslide experts from the North Carolina Geological Survey and Appalachian Landslide Consultants PLLC, and more than 50 years of combined landslide hazard professional experience of the mission-assigned field team. No systematic field investigations were done by the USGS.
While responding to the event, the USGS did not identify any landslides that posed an immediate major threat to recovery personnel in parts of nine counties in North Carolina (Avery, Buncombe, Henderson, McDowell, Mitchell, Polk, Rutherford, Watauga, and Yancey); however, threats from renewed landslide activity may remain heightened in localized areas for months or even years. Known areas of the most abundant landslide occurrence include Bat Cave, Lake Lure, Chimney Rock, Swannanoa, Black Mountain, Fairview, steep areas in Asheville, and the Blue Ridge Parkway. The USGS shared detailed locations of known landslides with the Emergency Operations Centers. The thousands of landslide scars on hillsides and landslide deposits on flatter ground may present some threat to recovery activities. Soil and rocks will continue to erode from newly exposed landslide scars and may pose a threat to people and infrastructure who are immediately nearby. In general, the steeper and taller the landslide scar, the greater the potential threat. This threat is heightened during periods of rainfall and increases with the duration and intensity of rainstorms. Very heavy rainfall, or repeated rainfall events during short periods, could also initiate new landslides on steep slopes. Excavation of landslide deposits, particularly excavation of those deposits directly adjacent to steep slopes, may also pose a threat to nearby people and equipment.
An interagency collaborative mapping effort led by the USGS that informed this assessment identified 1,155 landslide locations by the October 2024 briefings, but that number increased to 2,217 in a final reviewed version of the locations published in January 2025. Locations were mapped from satellite imagery, fixed-wing and helicopter surveys, media and social media, and field reports in the 3 weeks following the passage of the remnants of Hurricane Helene. USGS products outlined in this report are publicly available and include geotagged photographs from aerial reconnaissance, hazard models, an interactive view of mapped landslide locations, and landslide safety and education resources.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/ofr20251028","programNote":"Landslide Hazards Program","usgsCitation":"Allstadt, K.E., McBride, S.K., Godt, J.W., Slaughter, S.L., Baxstrom, K.W., Sobieszczyk, S., and Stull, A., 2025, Preliminary field report of landslide hazards following Hurricane Helene: U.S. Geological Survey Open-File Report 2025–1028, 15 p., https://doi.org/10.3133/ofr20251028.","productDescription":"Report vi, 15 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-175853","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":494134,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118637.htm","linkFileType":{"id":5,"text":"html"}},{"id":490259,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251028/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2025-1028"},{"id":488392,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1028/ofr20251028.xml"},{"id":488391,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1028/images"},{"id":486657,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1C5W3PQ","text":"USGS data release","description":"USGS data release for OFR 2025-1028","linkHelpText":"Oblique Aerial Photographs from October 13 and 17, 2024, of Landslides and Flooding Caused by Hurricane Helene (ver 1.1, March 2025)"},{"id":486656,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1028/ofr20251028.pdf","text":"Report","size":"7.42 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2025-1028"},{"id":486655,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1028/coverthb.jpg"}],"country":"United States","state":"North Carolina, South Carolina, Tennessee, Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -81,\n 36.667\n ],\n [\n -83.25,\n 36.667\n ],\n [\n -83.25,\n 35\n ],\n [\n -81,\n 35\n ],\n [\n -81,\n 36.667\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Geologic Hazards Science Center
U.S. Geological Survey
Box 25046, Mail Stop 966
Denver, CO 80225
Hybridization and interspecific gene flow play a substantial role in the evolution of plant taxa. The eastern North American white oak syngameon, a group of approximately 15 ecologically, morphologically and genomically distinguishable species, has long been recognised as a model system for studying introgressive hybridization in temperate trees. However, the prevalence, genomic context and environmental correlates of introgression in this system remain largely unknown. To assess introgression in the eastern North American white oak syngameon and population structure within the widespread Quercus macrocarpa, we conducted a rangewide survey of Q. macrocarpa and four sympatric eastern North American white oak species. Using a Hyb-Seq approach, we assembled a dataset of 3412 thinned single-nucleotide polymorphisms (SNPs) in 445 enriched target loci including 62 genes putatively associated with various ecological functions, as well as associated intronic regions and some off-target intergenic regions (not associated with the exons). Admixture analysis and hybrid class inference demonstrated species coherence despite hybridization and introgressive gene flow (due to backcrossing of F1s to one or both parents). Additionally, we recovered a genetic structure within Q. macrocarpa associated with latitude. Generalised linear mixed models (GLMMs) indicate that proximity to range edge predicts interspecific admixture, but rates of genetic differentiation do not appear to vary between putative functional gene classes. Our study suggests that gene flow between eastern North American white oak species may not be as rampant as previously assumed and that hybridization is most strongly predicted by proximity to a species' range margin.
","language":"English","publisher":"Wiley","doi":"10.1111/mec.17822","usgsCitation":"Ribicoff, G., Garner, M., Pham, K., Althaus, K., Cavendar-Bares, J., Crowl, A., Gray, S., Gugger, P.F., Hahn, M., Liao, S., Manos, P., Mohn, R., Pearse, I.S., Steichmann, N., Tuffin, A., Whittemore, A.T., and Hipp, A., 2025, Introgression, phylogeography, and genomic species cohesion in the eastern North American white oak syngameon: Molecular Ecology, v. 34, no. 21, e17822, 22 p., https://doi.org/10.1111/mec.17822.","productDescription":"e17822, 22 p.","ipdsId":"IP-173668","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":497374,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/mec.17822","text":"Publisher Index Page"},{"id":497284,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Mexico, United States","geographicExtents":"{\n 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data","interactions":[],"lastModifiedDate":"2025-07-18T14:20:50.575081","indexId":"70269339","displayToPublicDate":"2025-06-09T09:13:32","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":"Assessing uncertainty in forecasts of refugia for Joshua trees using high-density distribution data","docAbstract":"Joshua trees (Yucca brevifolia and Yucca jaegeriana) are iconic, foundational species of the Mojave and Sonoran Deserts in North America. Due to their ecosystem importance, long generation times, and low resilience to disturbance, these hybridizing sister species are increasingly the focus of conservation efforts. Predicting Joshua tree responses to impending climate variability, along with the extent of suitable future habitat and/or climate refugia, is critical to ongoing management planning. Previous modeling efforts have been hampered by incomplete distribution data and are now out-of-date with the most recent global climate projections. We used a high-resolution, field-validated distributional database of nearly complete presence and absence records, along with a simulation of dispersal, to project Joshua tree distributions into future time periods and Coupled Model Intercomparison Project phase 6 (CMIP6) emissions scenarios. Overall, our models predict widespread habitat loss with limited availability of newly suitable habitat. Under the highest emissions scenario (SSP5–8.5), we project that up to 80% of current habitat may become unsuitable by 2100. Even so, our models predict a larger area of potential refugia than some previous efforts, particularly in the southern parts of the range, where we project persistent refugia through 2100. We also found a non-negligible influence of baseline climate period (the period used to represent “current” climate) on predicted future habitat probabilities. Simulations of dispersal based on the Joshua tree's limited capacity suggest that over 25% of suitable future habitat could be inaccessible, while much of the remaining future habitat area consists of refugia within the upper elevations of the species' current range. An increasing frequency of wildfire appears to be the greatest rangewide threat to future suitable habitat for Joshua trees, followed by renewable energy development. Over 80% of future suitable habitat occurs on federally managed lands, including up to 47% within Bureau of Land Management-administered areas and 15% within National Park Service units.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70308","usgsCitation":"Shryock, D., Esque, T., Berr, G.A., and DeFalco, L., 2025, Assessing uncertainty in forecasts of refugia for Joshua trees using high-density distribution data: Ecosphere, v. 16, no. 6, e70308, 25 p., https://doi.org/10.1002/ecs2.70308.","productDescription":"e70308, 25 p.","ipdsId":"IP-169416","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":492861,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70308","text":"Publisher Index Page"},{"id":492533,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Nevada, Utah","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120,\n 39\n ],\n [\n -120,\n 34\n ],\n [\n -112,\n 34\n ],\n [\n -112,\n 39\n ],\n [\n -120,\n 39\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"16","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Shryock, Daniel F. 0000-0003-0330-9815 dshryock@usgs.gov","orcid":"https://orcid.org/0000-0003-0330-9815","contributorId":208659,"corporation":false,"usgs":true,"family":"Shryock","given":"Daniel F.","email":"dshryock@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":943483,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Esque, Todd 0000-0002-4166-6234 tesque@usgs.gov","orcid":"https://orcid.org/0000-0002-4166-6234","contributorId":195896,"corporation":false,"usgs":true,"family":"Esque","given":"Todd","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":943484,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berr, Gabrielle A. 0009-0004-1531-7761","orcid":"https://orcid.org/0009-0004-1531-7761","contributorId":333759,"corporation":false,"usgs":false,"family":"Berr","given":"Gabrielle","email":"","middleInitial":"A.","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":943485,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeFalco, Lesley A. 0000-0002-7542-9261","orcid":"https://orcid.org/0000-0002-7542-9261","contributorId":208658,"corporation":false,"usgs":true,"family":"DeFalco","given":"Lesley A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":943486,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70270548,"text":"70270548 - 2025 - Population genomics of recovery and extinction in Hawaiian honeycreepers","interactions":[],"lastModifiedDate":"2025-08-20T14:53:55.287196","indexId":"70270548","displayToPublicDate":"2025-06-09T07:44:59","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1352,"text":"Current Biology","active":true,"publicationSubtype":{"id":10}},"title":"Population genomics of recovery and extinction in Hawaiian honeycreepers","docAbstract":"Native Hawaiian forest birds are experiencing an unprecedented extinction crisis. In particular, the iconic Hawaiian honeycreeper radiation has declined to just 17 out of ∼60 species remaining, most threatened with extinction due to avian malaria. Here, we investigate the genomic signatures of these declines in three honeycreeper species: the critically endangered ʻakikiki (Oreomystis bairdi) and ʻakekeʻe (Loxops caeruleirostris) and the extinct poʻouli (Melamprosops phaeosoma). Surprisingly, we find that Hawaiian honeycreepers, even the last known po‘ouli individual, maintain high heterozygosity compared with other island birds, reflecting historically large population sizes. This high heterozygosity may contribute to an elevated impact of inbreeding depression, as evidenced by reduced survival and reproductive success among highly inbred ‘akikiki. Demographic analysis revealed that recent precipitous declines in ‘akikiki and ‘akekeʻe coincide with the spread of avian malaria in the late 20th century, consistent with malaria being the primary driver of population collapse. Using predictive population viability modeling, we explore potential recovery scenarios for ʻakekeʻe, which has recently declined below 100 individuals in the wild. Our models predict that, under current conditions, ‘akekeʻe is likely to go extinct in the near future. However, if mosquito control campaigns are effective at reducing malaria, recovery can still occur. These findings emphasize the urgency of ongoing mosquito control efforts, demonstrating hope for a species nearing the brink of extinction. More broadly, our study provides a detailed examination of genomic diversity, inbreeding depression, and extinction risk in a collapsing adaptive radiation, with implications for conservation of other endangered island species.
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