Long Island, New York and near coastal areas surrounding Long Island Sound are densely populated and, like other coastal areas, are susceptible to flooding from several potential sources, including stormwater from precipitation events, tidal flooding and storm surge, and groundwater inundation or groundwater emergence flooding. The latter refers to the intersection of a rising water table with land surface or critical infrastructure. Many studies of flood drivers either neglect or only briefly discuss how shallow groundwater conditions may contribute to or exacerbate flood conditions. As part of a comprehensive study of compound flood hazards in the near coastal areas surrounding Long Island and Long Island Sound, a spatial analysis was completed, in cooperation with the Environmental Protection Agency’s Long Island Sound Study, using available regional datasets to characterize the potential hazard for groundwater emergence flooding.
The approximately 3,100 square mile study area was subdivided into 11,407 900-meter by 900-meter (approximately 3,000-feet by 3,000-feet) grid cells, for the purposes of integrating the spatial datasets to calculate and map the groundwater emergence flood hazard. The depth to the water table, hydrologic soil groups, and National Land Cover Database were harmonized to the common grid. A groundwater emergence flood hazard rank was calculated for each grid cell for current average conditions following a set of rules accounting for the depth to the water table and the percent of area within each cell with slow infiltrating soils. A higher sea level position scenario was also calculated for the Long Island part of the study area. The calculated groundwater emergence flood hazard rank was reviewed in concert with the National Land Cover Data Base to identify developed areas and associated infrastructure that may be at risk to groundwater emergence flooding.
Study results indicate that the groundwater emergence flood hazard is highest in coastal areas and near surface water where the water table is close to ground surface. Inland areas away from surface water bodies are not likely to be exposed to groundwater emergence flooding. For Long Island, under a scenario with higher sea level position, a greater groundwater emergence flood hazard is calculated in some locations closer to the coast and where land is submerged. Away from the coast and surface-water drainage, the groundwater emergence flood hazard is similar between the current average sea level condition and a higher sea level position scenario.
In 1925, three moderately large damaging earthquakes occurred in North America over four months: the 28 February (local time; LT) M 6.2 Charlevoix, 27 June (LT) M 6.6 Montana, and 29 June M 6.5 Santa Barbara earthquakes. The centennial anniversaries of these events motivated this retrospective consideration focused on the ground motions generated by the three events, including a reconsideration of early intensity assignments for the Montana earthquake. At the time, these three earthquakes appeared to support the arguments of some geologists who downplayed the severity of seismic hazard in southern California relative to other parts of the country. Some of the arguments advanced at that time, for example that Los Angeles “has the least to fear from ‘Acts of God’ of any city under the American flag,” (Hill, 1928) sound naïve if not laughable now, but a comparison of well‐constrained shaking distributions for the three earthquakes reveals the dramatic difference in wave propagation efficiency in western versus eastern North America (ENAM), which leads to moderate ENAM events being felt to much larger distances. At M 6.2, the 1925 Charlevoix earthquake was a notably large event in ENAM. This earthquake was the largest event in eastern Canada since 1870 and caused damage in the epicentral region in addition to towns as far away as 200 km, with felt shaking extending over 1000 km. In contrast, felt shaking from the Santa Barbara earthquake barely extended beyond ∼200 km. Compiling published intensity distributions for larger ENAM earthquakes, we show that perceptible earthquake shaking is not uncommon in ENAM over century time scales, but experience with weakly felt shaking may incline people to downplay potential earthquake risk.
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Impacts\noccurred primarily during local nighttime, after the third of four sudden commencements, and\nduring the storm’s most-prominent main phase. Impacts are attributed to rapid and high-amplitude\ngeomagnetic field variation generated by substorms. This induced potential di erences and\nbetween the grounding points of communication networks that were su cient to cause system\ninterference and damage. In the United States, impacts were concentrated in the Midwest and in\nthe East, regions characterized by high electromagnetic surface impedance. Given technological\nchanges, modern telecommunication systems are less exposed to storms like that of May 1921,\nwhile power-grid systems are now more exposed to them.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025SW004563","usgsCitation":"Love, J.J., Lucas, G.M., Kelbert, A., Schnepf, N.R., Bedrosian, P.A., and McBride, S., 2025, The impact of the May 1921 superstorm on American telecommunication systems: Space Weather, v. 23, no. 7, e2025SW004563, 7 p., https://doi.org/10.1029/2025SW004563.","productDescription":"e2025SW004563, 7 p.","ipdsId":"IP-176044","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":494187,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025sw004563","text":"Publisher Index Page"},{"id":493931,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -112.04591235883407,\n 48.55929857106818\n ],\n [\n -113.11562382583244,\n 44.989521883693286\n ],\n [\n -97.39942377885234,\n 45.62679588654639\n ],\n [\n -94.09937380848437,\n 36.67842728651029\n ],\n [\n -73.77940090499652,\n 39.39897652697945\n ],\n [\n -62.59060976277681,\n 46.438434374285634\n ],\n [\n -112.04591235883407,\n 48.55929857106818\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"23","issue":"7","noUsgsAuthors":false,"publicationDate":"2025-07-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":945467,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lucas, Greg M.","contributorId":359448,"corporation":false,"usgs":false,"family":"Lucas","given":"Greg","middleInitial":"M.","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":945468,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelbert, Anna","contributorId":359449,"corporation":false,"usgs":false,"family":"Kelbert","given":"Anna","affiliations":[{"id":85814,"text":"Harvard-Smithsonian Center for Astrophysics, Cambridge, Massachusetts, 02138, USA","active":true,"usgs":false}],"preferred":false,"id":945469,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schnepf, Neesha R.","contributorId":359450,"corporation":false,"usgs":false,"family":"Schnepf","given":"Neesha","middleInitial":"R.","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":945470,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":945471,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McBride, Sara K. 0000-0002-8062-6542","orcid":"https://orcid.org/0000-0002-8062-6542","contributorId":206933,"corporation":false,"usgs":true,"family":"McBride","given":"Sara K.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":945472,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70269639,"text":"70269639 - 2025 - Detroit River becoming a crucible for boundary organization experimentation","interactions":[],"lastModifiedDate":"2025-12-15T16:28:08.75303","indexId":"70269639","displayToPublicDate":"2025-07-24T09:51:12","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Detroit River becoming a crucible for boundary organization experimentation","docAbstract":"The Detroit River has a long history of human use and abuse, resulting in public outcry over water pollution and resource degradation. This public outcry helped catalyze the enactment of many laws and the Canada-U.S. Great Lakes Water Quality Agreement which led to enhanced research, monitoring, and water pollution control. As pollution from industries and municipal wastewater treatment plants came under control and progress was made in management of single species, the focus shifted to a more comprehensive ecosystem approach that accounted for all the sources of pollution and targeted restoring ecosystem health with resilience. Over time, the Detroit River became a “proving ground” or crucible for experimenting with boundary organizations to overcome geographical, political, institutional, and disciplinary boundaries and strengthen science-policy-management linkages for ecosystem-based management. This study identified 15 boundary organizations functioning in the Detroit River watershed and evaluated two case studies – St. Clair-Detroit River System Initiative and State of the Strait Conferences. Key lessons learned from this study include: 1) establishing boundary organizations, promoting cooperative learning, and building capacity for boundary-spanning are essential for use of an ecosystem approach; 2) boundary spanning requires specific skills, experience, and improved linkages between research and practice; 3) the 15 boundary organizations provide a unique opportunity to collaborate in a community of practice to share knowledge, foster cooperative learning, enhance problem-solving, build trust, and demonstrate leadership; and 4) continued actionable science, investment in capacity building, and cooperative learning are essential to meet long-term goals of sustainability.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2025.102645","usgsCitation":"Hartig, J., DeBruyne, R.L., Stammler, K., Boase, J., and Roseman, E., 2025, Detroit River becoming a crucible for boundary organization experimentation: Journal of Great Lakes Research, v. 51, no. 6, 102645, 10 p., https://doi.org/10.1016/j.jglr.2025.102645.","productDescription":"102645, 10 p.","ipdsId":"IP-171476","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":493101,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Detroit River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.22167469210642,\n 43.0402928758875\n ],\n [\n -82.55406350661367,\n 43.09868747044237\n ],\n [\n -83.65943015206881,\n 41.725636443035626\n ],\n [\n -82.97765363843612,\n 41.61954475591833\n ],\n [\n -82.32596717026999,\n 42.31966777421121\n ],\n [\n -82.22167469210642,\n 43.0402928758875\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"51","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-07-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Hartig, John H.","contributorId":358837,"corporation":false,"usgs":false,"family":"Hartig","given":"John H.","affiliations":[{"id":48871,"text":"University of Windsor","active":true,"usgs":false}],"preferred":false,"id":944247,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeBruyne, Robin L. 0000-0002-9232-7937 rdebruyne@usgs.gov","orcid":"https://orcid.org/0000-0002-9232-7937","contributorId":4936,"corporation":false,"usgs":true,"family":"DeBruyne","given":"Robin","email":"rdebruyne@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":944248,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stammler, Katie","contributorId":291256,"corporation":false,"usgs":false,"family":"Stammler","given":"Katie","email":"","affiliations":[{"id":39523,"text":"Essex Region Conservation Authority","active":true,"usgs":false}],"preferred":false,"id":944249,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boase, James C.","contributorId":38077,"corporation":false,"usgs":false,"family":"Boase","given":"James C.","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":944250,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roseman, Edward F. 0000-0002-5315-9838","orcid":"https://orcid.org/0000-0002-5315-9838","contributorId":217909,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":944251,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70270366,"text":"70270366 - 2025 - Benchmarking shoreline prediction models over multi-decadal timescales","interactions":[],"lastModifiedDate":"2025-08-18T14:37:00.840674","indexId":"70270366","displayToPublicDate":"2025-07-24T09:14:42","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8956,"text":"Communications Earth & Environment","active":true,"publicationSubtype":{"id":10}},"title":"Benchmarking shoreline prediction models over multi-decadal timescales","docAbstract":"Robust predictions of shoreline change are critical for sustainable coastal management. Despite advancements in shoreline models, objective benchmarking remains limited. Here we present results from ShoreShop2.0, an international collaborative benchmarking workshop, where 34 groups submitted shoreline change predictions in a blind competition. Subsets of shoreline observations at an undisclosed site (BeachX) over short (5-year) and medium (50-year) periods were withheld from modelers and used for model benchmarking. Using satellite-derived shoreline datasets for calibration and evaluation, the best performing models achieved prediction accuracies on the order of 10 m, comparable to the accuracy of the satellite shoreline data, indicating that certain beaches can be modelled nearly as well as they can be remotely observed. The outcomes from this collaborative benchmarking competition critically review the present state-of-the-art in shoreline change prediction as well as reveal model limitations, facilitate improvements, and offer insights for advancing shoreline-prediction capabilities.
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reliable estimates of demographic parameters is critical to effective wildlife conservation and management. Densities of Mojave Desert Tortoises (Gopherus agassizii) were historically derived from capture–mark–recapture surveys on small, often strategically placed demography plots, or demographic study areas, that also provided information on demographic composition and vital rates. After protection was afforded to Desert Tortoises under the US Endangered Species Act in 1990, monitoring shifted mostly to line-distance sampling across broad areas for estimating densities of primarily adult tortoises to inform long-term population trends. However, that approach is incapable of providing data about other demographic characteristics important to population growth and viability. We surveyed a previously unsampled demography plot in the western Mojave Desert, California, USA, during 2022 and applied spatial capture–recapture (SCR) models to estimate spatially explicit Desert Tortoise density and sex-by-size class compositions. Directly accounting for spatiotemporally varying survey effort in SCR models via hazard-based adjustment reduced the estimated detection rate by 91% and increased the estimated density by 17%. Estimated spatial mean Desert Tortoise density across a 2.53-km2 area was 18.53 tortoises/km2 (95% confidence interval [CI] = 12.36–27.77). The SCR model–estimated size class ratio was skewed toward prereproductive tortoises (64% prereproductive; 36% adults), whereas the adult sex ratio was female biased (61% females; 39% males). Those ratios corresponded to densities of 11.86 prereproductive tortoises/km2 (95% CI = 7.91–17.77), 4.08 adult female tortoises/km2 (95% CI = 2.72–6.11), and 2.59 adult male tortoises/km2 (95% CI = 1.73–3.89). Estimated tortoise density and demographic composition collectively support a high potential for population growth. Our study provides an illustrative example of using SCR models to directly estimate spatially explicit local Desert Tortoise densities and demographic composition that can be used for long-term monitoring and comparisons with other demography plots to inform conservation.
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The State of Louisiana’s Coastal Protection and Restoration Authority (CPRA) and the RESTORE Act Center of Excellence for Louisiana (LA-COE) have adopted a co-production of science framework to help ensure that scientific research funded through the LA-COE supports the research needs of CPRA and the Louisiana Coastal Master Plan (CMP), a large-scale coastal restoration plan that outlines activities needed to restore and protect Louisiana’s coast. In this paper, we describe the co-production of science framework established between the LA-COE, CPRA, and research projects funded by the LA-COE. Through an iterative process, the Louisiana CMP is revised every 6 years with improved model and scientific information. The LA-COE leverages the cyclical nature of the CMP by working with CPRA to identify research needs for each Request for Proposals solicited by the LA-COE. The LA-COE proposal review process is structured to include anonymous CPRA review of projects to promote the production of actionable science, and once funded, multiple mechanisms are in place to support collaboration between researchers and CPRA staff. We highlight these mechanisms and provide examples of four LA-COE-funded projects where co-produced science is being used by CPRA to inform the CMP and its implementation. Finally, we discuss challenges of co-production within the confines of funding requirements and review restrictions, highlighting how the LA-COE continues to adapt to navigate these challenges and enhance the implementation of co-production throughout the research funding lifecycle.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s12237-025-01584-3","usgsCitation":"Oster, J., Henkel, J., Dausman, A., Windhoffer, E., Liu, B., Baustian, M.M., Reed, D., Langlois, S., and Lindquist, D., 2025, Advancing the implementation of coastal restoration in Louisiana through a co-production of science framework: Estuaries and Coasts, v. 48, no. 6, 148, 13 p., https://doi.org/10.1007/s12237-025-01584-3.","productDescription":"148, 13 p.","ipdsId":"IP-173895","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":493790,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-025-01584-3","text":"Publisher Index Page"},{"id":493409,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -93.87899927144403,\n 30.400700935125144\n ],\n [\n -93.87899927144403,\n 28.558100428162405\n ],\n [\n -89.02763423210459,\n 28.558100428162405\n ],\n [\n -89.02763423210459,\n 30.400700935125144\n ],\n [\n -93.87899927144403,\n 30.400700935125144\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"48","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-07-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Oster, Jacob M.","contributorId":358974,"corporation":false,"usgs":false,"family":"Oster","given":"Jacob M.","affiliations":[{"id":34838,"text":"Texas A&M Corpus Christi","active":true,"usgs":false}],"preferred":false,"id":944671,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Henkel, Jessica R.","contributorId":358976,"corporation":false,"usgs":false,"family":"Henkel","given":"Jessica R.","affiliations":[{"id":81504,"text":"The Water Institute","active":true,"usgs":false}],"preferred":false,"id":944672,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dausman, Alyssa","contributorId":223766,"corporation":false,"usgs":false,"family":"Dausman","given":"Alyssa","affiliations":[{"id":13499,"text":"The Water Institute of the Gulf","active":true,"usgs":false}],"preferred":false,"id":944673,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Windhoffer, Eva D.","contributorId":358978,"corporation":false,"usgs":false,"family":"Windhoffer","given":"Eva D.","affiliations":[{"id":81504,"text":"The Water Institute","active":true,"usgs":false}],"preferred":false,"id":944674,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Liu, Bingqing","contributorId":304014,"corporation":false,"usgs":false,"family":"Liu","given":"Bingqing","email":"","affiliations":[{"id":13499,"text":"The Water Institute of the Gulf","active":true,"usgs":false}],"preferred":false,"id":944675,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Baustian, Melissa Millman 0000-0003-2467-2533","orcid":"https://orcid.org/0000-0003-2467-2533","contributorId":304015,"corporation":false,"usgs":true,"family":"Baustian","given":"Melissa","email":"","middleInitial":"Millman","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":944676,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reed, Denise","contributorId":215697,"corporation":false,"usgs":false,"family":"Reed","given":"Denise","affiliations":[{"id":37245,"text":"University of New Orleans","active":true,"usgs":false}],"preferred":false,"id":944677,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Langlois, Summer","contributorId":223756,"corporation":false,"usgs":false,"family":"Langlois","given":"Summer","affiliations":[{"id":40763,"text":"Coastal Protection and Restoration Authority","active":true,"usgs":false}],"preferred":false,"id":944678,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lindquist, David C.","contributorId":358980,"corporation":false,"usgs":false,"family":"Lindquist","given":"David C.","affiliations":[{"id":13608,"text":"Louisiana Coastal Protection and Restoration Authority","active":true,"usgs":false}],"preferred":false,"id":944679,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70273844,"text":"70273844 - 2025 - A review of abrupt permafrost thaw: Definitions, usage, and a proposed conceptual framework","interactions":[],"lastModifiedDate":"2026-02-06T15:15:54.462702","indexId":"70273844","displayToPublicDate":"2025-07-24T08:41:27","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5763,"text":"Current Climate Change Reports","active":true,"publicationSubtype":{"id":10}},"title":"A review of abrupt permafrost thaw: Definitions, usage, and a proposed conceptual framework","docAbstract":"We review how ‘abrupt thaw’ has been used in published studies, compare these definitions to abrupt processes in other Earth science disciplines, and provide a definitive framework for how abrupt thaw should be used in the context of permafrost science.
We address several aspects of permafrost systems necessary for abrupt thaw to occur and propose a framework for classifying permafrost processes as abrupt thaw in the future. Based on a literature review and our collective expertise, we propose that abrupt thaw refers to thaw processes that lead to a substantial persistent environmental change within a few decades. Abrupt thaw typically occurs in ice-rich permafrost but may be initiated in ice-poor permafrost by external factors such as hydrologic change (i.e., increased streamflow, soil moisture fluctuations, altered groundwater recharge) or wildfire.
Permafrost thaw alters greenhouse gas emissions, soil and vegetation properties, and hydrologic flow, threatening infrastructure and the cultures and livelihoods of northern communities. The term ‘abrupt thaw’ has emerged in scientific discourse over the past two decades to differentiate processes that rapidly impact large depths of permafrost, such as thermokarst, from more gradual, top-down thaw processes that impact centimeters of near-surface permafrost over years to decades. However, there has been no formal definition for abrupt thaw and its use in the scientific literature has varied considerably. Our standardized definition of abrupt thaw offers a path forward to better understand drivers and patterns of abrupt thaw and its consequences for global greenhouse gas budgets, impacts to infrastructure and land-use, and Arctic policy- and decision-making.
","language":"English","publisher":"Springer","doi":"10.1007/s40641-025-00204-3","usgsCitation":"Webb, H., Fuchs, M., Abbott, B.W., Douglas, T.A., Elder, C.D., Ernakovich, J.G., Euskirchen, E., Göckede, M., Grosse, G., Hugelius, G., Jones, M.C., Koven, C., Kropp, H., Lathrop, E., Li, W., Loranty, M.M., Natali, S.M., Olefeldt, D., Christina Schädel, Schuur, E.A., Sonnentag, O., Strauss, J., Virkkala, A., and Merritt R. Turetsky, 2025, A review of abrupt permafrost thaw: Definitions, usage, and a proposed conceptual framework: Current Climate Change Reports, v. 11, 7, 15 p., https://doi.org/10.1007/s40641-025-00204-3.","productDescription":"7, 15 p.","ipdsId":"IP-178954","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":499934,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s40641-025-00204-3","text":"Publisher Index Page"},{"id":499649,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","noUsgsAuthors":false,"publicationDate":"2025-07-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Webb, Hailey","contributorId":366038,"corporation":false,"usgs":false,"family":"Webb","given":"Hailey","affiliations":[{"id":87335,"text":"Renewable and Sustainable Energy Institute, University of Colorado Boulder, Boulder, CO USA; Ecology and Evolutionary Biology, University of Colorado\nBoulder, Boulder, CO USA","active":true,"usgs":false}],"preferred":false,"id":955189,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuchs, Matthias","contributorId":366057,"corporation":false,"usgs":false,"family":"Fuchs","given":"Matthias","affiliations":[{"id":87350,"text":"Renewable and Sustainable Energy Institute, University of Colorado Boulder, USA","active":true,"usgs":false}],"preferred":false,"id":955208,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abbott, Benjamin W.","contributorId":366042,"corporation":false,"usgs":false,"family":"Abbott","given":"Benjamin","middleInitial":"W.","affiliations":[{"id":87338,"text":"Department of Plant & Wildlife Sciences, Brigham Young University, Provo, UT USA","active":true,"usgs":false}],"preferred":false,"id":955193,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Douglas, Thomas A. 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Schädel","contributorId":366044,"corporation":false,"usgs":false,"family":"Christina Schädel","affiliations":[{"id":87336,"text":"Woodwell Climate Research Center, Falmouth, MA 02540 USA","active":true,"usgs":false}],"preferred":false,"id":955195,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Schuur, Edward A.G.","contributorId":50026,"corporation":false,"usgs":true,"family":"Schuur","given":"Edward","email":"","middleInitial":"A.G.","affiliations":[],"preferred":false,"id":955199,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Sonnentag, Oliver","contributorId":346831,"corporation":false,"usgs":false,"family":"Sonnentag","given":"Oliver","affiliations":[{"id":82987,"text":"Department of Ecology and Evolutionary Biology. University of Colorado Boulder. Boulder CO 80309","active":true,"usgs":false}],"preferred":false,"id":955211,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Strauss, Jens","contributorId":223674,"corporation":false,"usgs":false,"family":"Strauss","given":"Jens","email":"","affiliations":[],"preferred":false,"id":955205,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Virkkala, Anna-Maria","contributorId":366040,"corporation":false,"usgs":false,"family":"Virkkala","given":"Anna-Maria","affiliations":[{"id":87336,"text":"Woodwell Climate Research Center, Falmouth, MA 02540 USA","active":true,"usgs":false}],"preferred":false,"id":955191,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Merritt R. Turetsky","contributorId":198334,"corporation":false,"usgs":false,"family":"Merritt R. Turetsky","affiliations":[],"preferred":false,"id":955190,"contributorType":{"id":1,"text":"Authors"},"rank":24}]}} ,{"id":70269518,"text":"70269518 - 2025 - Ice thickness regulates heat flux in permanently ice-covered lakes","interactions":[],"lastModifiedDate":"2025-09-22T15:27:55.216752","indexId":"70269518","displayToPublicDate":"2025-07-24T08:37:59","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Ice thickness regulates heat flux in permanently ice-covered lakes","docAbstract":"The permanently ice-covered lakes of Taylor Valley, Antarctica, are rare ecosystems where permanent ice cover and year-round vertically stable water columns provide critical redox zones for cold-adapted microorganisms. Using 30 yr of limnological data from the McMurdo Dry Valleys Long-Term Ecological Research program, we assessed the water column heat flux of four permanently ice-covered lakes in the context of global lake ice decline and lake warming. Our study reveals that heat flux in Taylor Valley lakes is driven by ice cover dynamics, both annual changes in ice thickness as well as overall ice thickness. During periods of ice thinning, like those observed from 2020 to 2023, the lakes accumulate heat. Lake Fryxell, Lake Hoare, and West Lake Bonney have repeatedly cooled and warmed over our record, with only East Lake Bonney cooling due to lake level rise. Ice thickness is largely synchronous among the four lakes, with periods of asynchronicity likely caused by lake-specific changes in surface albedo driven by changes in optical properties of the ice covers and in-ice sediment dynamics.
","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lno.70151","usgsCitation":"Dugan, H.A., Obryk, M., Gooseff, M., Doran, P., Chiuchiolo, A., Lawrence, J., and Priscu, J., 2025, Ice thickness regulates heat flux in permanently ice-covered lakes: Limnology and Oceanography, v. 70, no. 9, p. 2556-2568, https://doi.org/10.1002/lno.70151.","productDescription":"13 p.","startPage":"2556","endPage":"2568","ipdsId":"IP-175276","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":499833,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.lsu.edu/geo_pubs/2141","text":"External Repository"},{"id":492902,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Antarctica, Lake Bonney, Lake Fryxell, Lake Hoare, Taylor Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 162.2,\n -77.6\n ],\n [\n 162.2,\n -77.75\n ],\n [\n 163.25,\n -77.75\n ],\n [\n 163.25,\n -77.6\n ],\n [\n 162.2,\n -77.6\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"70","issue":"9","noUsgsAuthors":false,"publicationDate":"2025-07-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Dugan, Hilary A. 0000-0003-4674-1149","orcid":"https://orcid.org/0000-0003-4674-1149","contributorId":300341,"corporation":false,"usgs":false,"family":"Dugan","given":"Hilary","email":"","middleInitial":"A.","affiliations":[{"id":18002,"text":"University of Wisconsin - Madison","active":true,"usgs":false}],"preferred":false,"id":943935,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Obryk, Maciej K. 0000-0002-8182-8656","orcid":"https://orcid.org/0000-0002-8182-8656","contributorId":203477,"corporation":false,"usgs":true,"family":"Obryk","given":"Maciej","middleInitial":"K.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":943936,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gooseff, Michael","contributorId":358547,"corporation":false,"usgs":false,"family":"Gooseff","given":"Michael","affiliations":[{"id":85652,"text":"Institute of Arctic and Alpine Research, University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":943937,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Doran, Peter","contributorId":358548,"corporation":false,"usgs":false,"family":"Doran","given":"Peter","affiliations":[{"id":85654,"text":"Department of Geology and Geophysics, Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":943938,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chiuchiolo, Amy","contributorId":358549,"corporation":false,"usgs":false,"family":"Chiuchiolo","given":"Amy","affiliations":[{"id":37275,"text":"none","active":true,"usgs":false}],"preferred":false,"id":943939,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lawrence, Jade","contributorId":358550,"corporation":false,"usgs":false,"family":"Lawrence","given":"Jade","affiliations":[{"id":7000,"text":"Department of Biology, University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":943940,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Priscu, John","contributorId":358551,"corporation":false,"usgs":false,"family":"Priscu","given":"John","affiliations":[{"id":85656,"text":"Division of Earth and Ecosystem Sciences, Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":943941,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70269547,"text":"70269547 - 2025 - The pre-maria geologic history of the Imbrium basin preserved by remnant highlands massifs","interactions":[],"lastModifiedDate":"2025-07-25T13:37:32.725623","indexId":"70269547","displayToPublicDate":"2025-07-24T08:32:55","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9967,"text":"JGR Planets","active":true,"publicationSubtype":{"id":10}},"title":"The pre-maria geologic history of the Imbrium basin preserved by remnant highlands massifs","docAbstract":"The Imbrium basin is one of the largest and youngest impact basins on the Moon. It has experienced multiple phases of volcanism that filled the basin with basaltic lavas, obscuring most evidence of geologic activity prior to the emplacement of mare basalts. Elevated basin ring massifs, however, can retain some of that history due to their higher topographic elevation compared to the maria. In this work, we use thermal infrared and radar data sets in conjunction with compositional data sets to establish the presence of external material that has been deposited on top of several remnant basin massifs of Imbrium. These massifs originally formed as part of the Imbrium basin ring structure, but their material properties indicate that they have since experienced modification from outside sources. In southwest Imbrium, we present evidence that Mons Vinogradov was mantled by rock-poor, glassy pyroclastic material prior to the deposition of Eratosthenian-era basalts immediately surrounding the mons. In northern Imbrium, we find that Montes Recti and Montes Teneriffe were not affected by pyroclastic volcanism but rather were mantled by rock- and glass-poor ejecta materials likely related to the Iridum basin impact. At Mons Piton in eastern Imbrium, we see weaker glass signatures than those found at Mons Vinogradov, which we suggest could be due to a thin layer of reworked or partially buried glassy pyroclastic material. These results indicate that basin ring massifs provide a mechanism for studying the geologic history of lunar impact basins.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024JE008646","usgsCitation":"Byron, B., Elder, C., Pigue, L.M., and Williams, J., 2025, The pre-maria geologic history of the Imbrium basin preserved by remnant highlands massifs: JGR Planets, v. 130, no. 7, e2024JE008646, 19 p., https://doi.org/10.1029/2024JE008646.","productDescription":"e2024JE008646, 19 p.","ipdsId":"IP-160135","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":492901,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Imbrium basin, Moon","volume":"130","issue":"7","noUsgsAuthors":false,"publicationDate":"2025-07-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Byron, Ben D. 0000-0003-4435-0347","orcid":"https://orcid.org/0000-0003-4435-0347","contributorId":358634,"corporation":false,"usgs":false,"family":"Byron","given":"Ben D.","affiliations":[{"id":7023,"text":"Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":944013,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elder, Catherine M. 0000-0002-9993-8861","orcid":"https://orcid.org/0000-0002-9993-8861","contributorId":358637,"corporation":false,"usgs":false,"family":"Elder","given":"Catherine M.","affiliations":[{"id":7023,"text":"Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":944014,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pigue, Lori M. 0000-0002-6675-6877","orcid":"https://orcid.org/0000-0002-6675-6877","contributorId":330994,"corporation":false,"usgs":true,"family":"Pigue","given":"Lori","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":944015,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, Jean-Pierre","contributorId":358640,"corporation":false,"usgs":false,"family":"Williams","given":"Jean-Pierre","affiliations":[{"id":85660,"text":"Department of Earth, Planetary, and Space Sciences, University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":944016,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70269627,"text":"70269627 - 2025 - Rupture process of the Mw7.0 December 5, 2024 Offshore Cape Mendocino earthquake","interactions":[],"lastModifiedDate":"2025-07-28T13:36:59.810848","indexId":"70269627","displayToPublicDate":"2025-07-24T08:32:47","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Rupture process of the Mw7.0 December 5, 2024 Offshore Cape Mendocino earthquake","docAbstract":"The Mw7.0 December 5, 2024 Offshore Cape Mendocino earthquake ruptured a km long portion of the east-west trending Mendocino fault zone (MFZ). In order to clarify the rupture process, we assemble three-component seismograms from regional seismic stations, horizontal coseismic displacement vectors derived from Global Navigation Satellite System (GNSS) time series, and a Sentinel-1 ascending interferogram. These data are interpreted with a model of slip distributed on two vertical fault planes representative of the eastern MFZ and spanning the ~70 km length of the aftershock zone. Assuming right-lateral strike slip, we find that the rupture initiates in the oceanic mantle at 20-30 km depth and proceeds unilaterally updip and toward the east. Early aftershocks locate adjacent to the peak slip areas, tracking the coseismic rupture propagation from oceanic mantle to shallower depth and implying a significant role of static stress transfer in driving aftershocks in an ocean plate environment.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025GL115613","usgsCitation":"Pollitz, F., Guns, K., and Yoon, C., 2025, Rupture process of the Mw7.0 December 5, 2024 Offshore Cape Mendocino earthquake: Geophysical Research Letters, v. 52, no. 14, e2025GL115613, 10 p., https://doi.org/10.1029/2025GL115613.","productDescription":"e2025GL115613, 10 p.","ipdsId":"IP-176306","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":493311,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025gl115613","text":"Publisher Index Page"},{"id":492990,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Offshore Cape Mendocino","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -126,\n 42\n ],\n [\n -126,\n 38\n ],\n [\n -121,\n 38\n ],\n [\n -121,\n 42\n ],\n [\n -126,\n 42\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"52","issue":"14","noUsgsAuthors":false,"publicationDate":"2025-07-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Pollitz, Frederick 0000-0002-4060-2706 fpollitz@usgs.gov","orcid":"https://orcid.org/0000-0002-4060-2706","contributorId":139578,"corporation":false,"usgs":true,"family":"Pollitz","given":"Frederick","email":"fpollitz@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":944214,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guns, Katherine Anna 0000-0002-2956-1536","orcid":"https://orcid.org/0000-0002-2956-1536","contributorId":358824,"corporation":false,"usgs":true,"family":"Guns","given":"Katherine Anna","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":944215,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yoon, Clara 0000-0003-4521-3889","orcid":"https://orcid.org/0000-0003-4521-3889","contributorId":222019,"corporation":false,"usgs":true,"family":"Yoon","given":"Clara","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":944216,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70270343,"text":"70270343 - 2025 - Mapping global coral vulnerability to stony coral tissue loss disease: Implications for biosecurity and conservation","interactions":[],"lastModifiedDate":"2025-08-15T14:58:46.564785","indexId":"70270343","displayToPublicDate":"2025-07-24T07:53:23","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"title":"Mapping global coral vulnerability to stony coral tissue loss disease: Implications for biosecurity and conservation","docAbstract":"Stony Coral Tissue Loss Disease (SCTLD) has devastated Caribbean coral reefs since 2014, but its potential for global impact remains uncertain. We developed predictive models to assess the worldwide vulnerability of coral reefs to SCTLD under different origin and spread hypotheses. Using random forest regression models incorporating coral taxonomy and zooxanthellae clade associations from 52 taxa, we projected SCTLD susceptibility and mortality patterns globally using six indices: Mean susceptibility per genus per location, Summed susceptibilities across genera per location, Summed susceptibilities across genera per realm, Mean mortality per genus per location, Summed mortalities across genera per location, and Summed mortalities across genera per realm. Models demonstrated strong predictive performance (R² = 0.57 for susceptibility; R² = 0.73 for mortality) and revealed that about 7% of coral genera per location are potentially susceptible to SCTLD. While mean susceptibility and mortality per genus were highest in the Tropical Atlantic, the summed susceptibility and mortality across genera were much higher in the biodiverse Central Indo-Pacific. Natural barriers could limit SCTLD’s spread, including the mid-Atlantic gap and the low diversity of the Tropical Eastern Pacific, supporting the contained disease hypothesis. However, the widespread distribution of susceptible genera across coral reef realms indicates significant vulnerability should SCTLD circumvent these barriers through human-mediated transport, particularly via ballast water or the aquarium trade. If SCTLD is an invasive pathogen originating in the Pacific, as shipping patterns for the aquarium trade suggest, mortality in its native range would likely be lower than our projections. These findings point to targeted intervention strategies, including enhanced monitoring at key locations, assessment of biosecurity needs in high-risk areas, and prioritized conservation efforts in vulnerable high-diversity regions to prevent SCTLD from spreading globally.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/fmars.2025.1608622","usgsCitation":"Lafferty, K.D., and Strona, G., 2025, Mapping global coral vulnerability to stony coral tissue loss disease: Implications for biosecurity and conservation: Frontiers in Marine Science, v. 12, 1608622, 9 p., https://doi.org/10.3389/fmars.2025.1608622.","productDescription":"1608622, 9 p.","ipdsId":"IP-179698","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":494212,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Caribbean","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -86.73686836669313,\n 22.715963357915257\n ],\n [\n -88.84154748135387,\n 15.928210740185918\n ],\n [\n -67.48839769068788,\n 11.17109320051204\n ],\n [\n -58.01459835409102,\n 11.345220067643226\n ],\n [\n -60.694682618485345,\n 19.12651464613971\n ],\n [\n -78.60310763267037,\n 27.026321525608623\n ],\n [\n -86.73686836669313,\n 22.715963357915257\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"12","noUsgsAuthors":false,"publicationDate":"2025-07-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":946152,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Strona, Giovanni","contributorId":237089,"corporation":false,"usgs":false,"family":"Strona","given":"Giovanni","affiliations":[{"id":47601,"text":"University of Helsinki, Research Centre for Ecological Change, Helsinki, Finland","active":true,"usgs":false}],"preferred":false,"id":946153,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70269352,"text":"fs20253035 - 2025 - Assessment of undiscovered conventional oil and gas resources of the northern Arabian Peninsula, 2024","interactions":[],"lastModifiedDate":"2026-02-03T14:37:08.173642","indexId":"fs20253035","displayToPublicDate":"2025-07-23T11:45:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-3035","displayTitle":"Assessment of Undiscovered Conventional Oil and Gas Resources of the Northern Arabian Peninsula, 2024","title":"Assessment of undiscovered conventional oil and gas resources of the northern Arabian Peninsula, 2024","docAbstract":"Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean conventional resources of 5.1 billion barrels of oil and 19.5 trillion cubic feet of gas in the northern Arabian Peninsula.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20253035","programNote":"National and Global Petroleum Assessment","usgsCitation":"Schenk, C.J., Mercier, T.J., Le, P.A., Cicero, A.D., Drake, R.M., II, Gelman, S.E., Hearon, J.S., Johnson, B.G., Lagesse, J.H., Leathers-Miller, H.M., and Timm, K.K., 2025, Assessment of undiscovered conventional oil and gas resources of the northern Arabian Peninsula, 2024: U.S. Geological Survey Fact Sheet 2025–3035, 4 p., https://doi.org/10.3133/fs20253035.","productDescription":"Report: 4 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-170439","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":492562,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2025/3035/coverthb.jpg"},{"id":492563,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2025/3035/fs20253035.pdf","text":"Report","size":"1.67 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2025-3035"},{"id":492834,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20253035/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2025-3035"},{"id":492564,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1TSQZVV","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project—Northern Arabian Peninsula—Assessment Unit Boundaries, Input Data Tables, and Fact Sheet Data Tables"},{"id":492768,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2025/3035/images"},{"id":492769,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2025/3035/fs20253035.xml"}],"country":"Iraq, Israel, Jordan, Lebanon, Saudi Arabia, Syria, Turkey","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 32,\n 38\n ],\n [\n 32,\n 26\n ],\n [\n 48,\n 26\n ],\n [\n 48,\n 38\n ],\n [\n 32,\n 38\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
Intra-sinoatrial nematodes were incidentally recognized in wild-caught Colorado Johnny Darters (Etheostoma nigrum, JD) in 2020–2021 and in Colorado Plains Topminnow (Fundulus sciadicus, PTM) in 2023-2024. PTM and JD were evaluated histologically. Nematodes dissected from PTM were used for morphologic evaluation and molecular identification. The first and second internal transcribed spacers (ITS1 and ITS2) of ribosomal DNA were sequenced. Sinoatrial nematodes were found in two of 1232 JD (0.2%) and nine of 110 PTM (8.2%). Worms caused dilation or aneurysm of the sinus venosus. One JD had severe sinus venosus phlebitis. Morphologic, histologic and molecular features were diagnostic for Contracaecum spp. This is the first identification of larval Contracaecum in PTM, the first record of an intravascular nematode in this species, and the first documentation of vascular localization of Contracaecum larvae in JD. Vascular pathology could result in increased susceptibility to predation and favour the completion of the nematode life cycle. Parasites could become detrimental to population survival, especially those that are stressed by ecological and anthropogenic factors.
","language":"English","publisher":"Wiley","doi":"10.1002/aff2.70100","usgsCitation":"Schaffer, P., McGrew, A.K., Henley, J., Adams, C.M., Winkelman, D.L., Fitzpatrick, R.M., Cadmus, P., 2025, Sinoatrial contracaeciasis in Johnny Darters (Etheostoma nigrum) and Plains Topminnow (Fundulus sciadicus) from the South Platte drainage, Colorado: Aquaculture, Fish and Fisheries, v. 5, no. 4, e70100, 9 p., https://doi.org/10.1002/aff2.70100.","productDescription":"e70100, 9 p.","ipdsId":"IP-180692","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500581,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/aff2.70100","text":"Publisher Index Page"},{"id":500364,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"South Platte drainage","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.52097840452527,\n 40.792371665302056\n ],\n [\n -105.52097840452527,\n 40.27589971686609\n ],\n [\n -104.2645187907537,\n 40.27589971686609\n ],\n [\n -104.2645187907537,\n 40.792371665302056\n ],\n [\n -105.52097840452527,\n 40.792371665302056\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"5","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-07-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Schaffer, Paula Andrea","contributorId":366748,"corporation":false,"usgs":false,"family":"Schaffer","given":"Paula Andrea","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":956177,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGrew, Ashley K.","contributorId":366749,"corporation":false,"usgs":false,"family":"McGrew","given":"Ashley","middleInitial":"K.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":956178,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Henley, Jessica","contributorId":366750,"corporation":false,"usgs":false,"family":"Henley","given":"Jessica","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":956179,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Adams, Catherine M.","contributorId":366751,"corporation":false,"usgs":false,"family":"Adams","given":"Catherine","middleInitial":"M.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":956180,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Winkelman, Dana L. 0000-0002-5247-0114 danaw@usgs.gov","orcid":"https://orcid.org/0000-0002-5247-0114","contributorId":4141,"corporation":false,"usgs":true,"family":"Winkelman","given":"Dana","email":"danaw@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":956181,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fitzpatrick, Ryan M.","contributorId":366756,"corporation":false,"usgs":false,"family":"Fitzpatrick","given":"Ryan","middleInitial":"M.","affiliations":[{"id":39887,"text":"Colorado Parks and Wildlife","active":true,"usgs":false}],"preferred":false,"id":956182,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cadmus, Pete","contributorId":173609,"corporation":false,"usgs":false,"family":"Cadmus","given":"Pete","email":"","affiliations":[{"id":27254,"text":"Colorado Parks and Wildlife; Colorado State University","active":true,"usgs":false}],"preferred":false,"id":956183,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70269442,"text":"ofr20251040 - 2025 - Environmental characteristics of select managed ponds in the Sacramento–San Joaquin Delta—Implications for native fish conservation and research","interactions":[],"lastModifiedDate":"2026-02-03T14:34:53.591953","indexId":"ofr20251040","displayToPublicDate":"2025-07-23T11:21:02","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":"2025-1040","displayTitle":"Environmental Characteristics of Select Managed Ponds in the Sacramento–San Joaquin Delta: Implications for Native Fish Conservation and Research","title":"Environmental characteristics of select managed ponds in the Sacramento–San Joaquin Delta—Implications for native fish conservation and research","docAbstract":"The use of wetlands to support native fish research and conservation efforts in the Sacramento–San Joaquin Delta (Delta) of California is a growing priority. The purpose of our study was to examine the physiochemical and biological characteristics of select managed ponds in the Delta to determine if they would be suitable habitats for research involving the conservation of delta smelt (Hypomesus transpacificus). We studied 10 managed ponds distributed across the central part of the Delta situated on Bacon Island and Bouldin Island in San Joaquin County, and Holland Tract and Webb Tract islands in Contra Costa County. The managed ponds had a diversity of physical habitat configurations and were not directly connected to waterways surrounding the islands and, therefore, not affected by tides. We studied the managed ponds from approximately November 2021 to December 2023 to assess water quality, zooplankton, fish, and pesticide metrics. Water levels in the managed ponds were managed to varying degrees and were mostly independent of climate-driven wet-dry seasonality. Water quality conditions varied among ponds and were independent of geographic location. Overall, mean monthly chlorophyll a concentration ranged from 15 to 57 (mean=30) micrograms per liter (μg/L), dissolved oxygen concentration ranged from 4 to 9 (mean=7) milligrams per liter (mg/L), pH was 8, salinity was 1 practical salinity units (PSU), specific conductance ranged from 1,202 to 1,839 (mean=1,471) microsiemens per centimeter (μS/cm), and turbidity ranged from 13 to 24 (mean=19) Formazin Nephelometric Units (FNU). Water temperature thresholds that contribute to stress (21 degrees Celsius [°C]) and mortality (28 °C) of delta smelt were often exceeded during summer and fall, though vertical stratification contributed to lower bottom temperatures in the deepest managed ponds, which could potentially provide thermal refugia for delta smelt so long as dissolved oxygen concentrations are suitable. Zooplankton populations were broadly similar among managed ponds and included calanoid and cyclopoid copepods that would be suitable prey for delta smelt. Overall average total zooplankton biomass, as measured with a Schindler-Patalas trap, was 0.6 μg/L (min=0, max=63.6) and peaked during spring at more than 4 μg/L. Fish populations highly varied among the managed ponds with potential predators of delta smelt such as largemouth bass (Micropterus salmoides) and black crappie (Pomoxis nigromaculatus) present in several of the managed ponds; predator distribution among ponds seemed to have been driven primarily by deliberate stocking to facilitate local fisheries. Measured pesticide concentrations were below U.S. Environmental Protection Agency Aquatic Life Benchmarks except for exceedances of three compounds (diuron [herbicide], clothianidin [insecticide], and deltamethrin [pyrethroid insecticide]) in samples collected from ponds on Bouldin Island and Webb Tract. Overall, most managed ponds seemed suitable to support delta smelt, though physical control of potential predators and summer temperature might be needed. The results provide guidance on how to engineer and manage new managed ponds to support research and conservation efforts for delta smelt and other native fishes.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251040","collaboration":"Prepared in cooperation with Metropolitan Water District and State Water Contractors","usgsCitation":"Feyrer, F.V., Acuña, S., Buxton, J.M., Enos, E.R., Hladik, M.L., Orlando, J., and Young, M.J., 2025, Environmental characteristics of select managed ponds in the Sacramento–San Joaquin Delta—Implications\nfor native fish conservation and research: U.S. Geological Survey Open-File Report 2025–1040, 35 p., https://doi.org/10.3133/ofr20251040.","productDescription":"Report: viii, 35 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-168544","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":492747,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1040/ofr20251040.XML"},{"id":492746,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1040/images"},{"id":492745,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P97GLG5I","text":"USGS data release","description":"USGS data release","linkHelpText":"Water quality and biological data from ponds on islands of the Sacramento–San Joaquin Delta"},{"id":492744,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251040/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2025-1040"},{"id":492743,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1040/ofr20251040.pdf","text":"Report","size":"2.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2025-1040"},{"id":492742,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1040/coverthb.jpg"}],"country":"United States","state":"California","county":"Contra Costa County, San Joaquin County","otherGeospatial":"Bacon Island, Bouldin Island, Holland Tract Island, Webb Tract Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.6667,\n 38.133333\n ],\n [\n -121.6667,\n 37.933333\n ],\n [\n -121.45,\n 37.933333\n ],\n [\n -121.45,\n 38.133333\n ],\n [\n -121.6667,\n 38.133333\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819
To aid Federal and State regulatory agencies in the effective management of water resources, the U.S. Geological Survey, in cooperation with the Connecticut Department of Energy and Environmental Protection and the Connecticut Department of Transportation, updated flow statistics for 118 streamgages and developed 47 regression equations to estimate selected flow duration, low flow, and mean flow statistics for the entire State of Connecticut, for the following: 1-, 5-, 10-, 25-, 50-, 75-, 90-, 99-percent flow durations; 7-day, 10-year low-flow frequency and 30-day, 2-year low-flow frequency; and mean flow, spring mean flow, and harmonic mean flow. In addition, regression equations were developed for monthly and seasonal flow durations, ranging from 25 to 99 percent for aquatic biological processes of salmonid spawning (November), overwinter (December–February), clupeid spawning (May), resident spawning (June), and rearing and growth (July–October) periods, and for flow durations ranging from 1 to 99 percent for the habitat forming (March–April) period. Statistics were derived from daily mean streamflow data collected from streamgages with at least 10 years of data through water year 2022 in southern New England and eastern New York.
Forty streamgages in Connecticut and adjacent areas of neighboring States were used in the regression analysis. Regression methods of weighted least squares and generalized least squares were used to derive the final coefficients and measures of uncertainty for the regression equations. The equations used to estimate selected streamflow statistics were developed by relating the flow statistics to different basin characteristics (physical, land cover, and climatic) at the 40 streamgages. Nine basin characteristics served as the explanatory variables in the statewide regression equations: drainage area, percentage of area with coarse-grained stratified deposits, stream density, mean basin slope, mean basin elevation, percentage of area with hydrologic soil group A, mean monthly precipitation for November, mean seasonal precipitation in the winter (December, January, and February), and mean annual temperature. The root mean square error of the 47 equations ranged from 7.9 to 121.9 percent, with an average of 27.9 percent. The equations estimate flows most accurately near the mean (50-percent flow duration), become less accurate for low flows, and are the least accurate for extreme low flows. The root mean square error for the 50-percent flow duration is 15.1 percent, with an average of 17.6 percent across the six periods. The extreme low flow statistics of 7-day, 10-year low-flow frequency, 99-percent flow duration, and 99-percent rearing and growth period flow durations have root mean square errors of 121.9, 105.1, and 121.9 percent, respectively. The adjusted coefficient of determination of the 47 equations ranged from 73.4 to 99.5 percent, with an average of 95.1 percent.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255027","collaboration":"Prepared in cooperation with the Connecticut Department of Energy and Environmental Protection and the Connecticut Department of Transportation","usgsCitation":"Ahearn, E.A., and Bent, G.C., 2025, Development of regression equations to estimate flow durations, low-flow frequencies, and mean flows at ungaged stream sites in Connecticut using data through water year 2022: U.S. Geological Survey Scientific Investigations Report 2025–5027, 54 p., https://doi.org/10.3133/sir20255027.","productDescription":"Report: vi, 54 p.; Data Release","numberOfPages":"54","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-165198","costCenters":[{"id":466,"text":"New England Water Science 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\"}}]}","contact":"Director, New England Water Science Center
U.S. Geological Survey
10 Bearfoot Road
Northborough, MA 01532
The U.S. Geological Survey, the Connecticut Department of Energy and Environmental Protection, and the Connecticut Department of Transportation collaboratively updated flow statistics for 118 streamgages and developed 47 regression equations to estimate key flow statistics in Connecticut. These included various flow durations and low-flow frequencies, as well as mean flow statistics for specific aquatic biological processes. The analysis used daily mean streamflow data from 40 streamgages with at least 10 years of data and incorporated basin characteristics such as drainage area and precipitation. The equations were most accurate near the mean flow (50-percent flow duration), with an average root mean square error of 27.9 percent, while accuracy decreased for low and extreme low flows. The adjusted coefficient of determination ranged from 73.4 to 99.5 percent, averaging 95.1 percent.
","publicationDate":"2025-07-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Ahearn, Elizabeth A. 0000-0002-5633-2640 eaahearn@usgs.gov","orcid":"https://orcid.org/0000-0002-5633-2640","contributorId":194658,"corporation":false,"usgs":true,"family":"Ahearn","given":"Elizabeth","email":"eaahearn@usgs.gov","middleInitial":"A.","affiliations":[{"id":377,"text":"Massachusetts-Rhode Island Water Science Center","active":false,"usgs":true},{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"preferred":false,"id":942790,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bent, Gardner C. 0000-0002-5085-3146","orcid":"https://orcid.org/0000-0002-5085-3146","contributorId":205226,"corporation":false,"usgs":true,"family":"Bent","given":"Gardner C.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":942791,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70269477,"text":"70269477 - 2025 - Bright spots for advancing ecological understanding and conservation decision-making","interactions":[],"lastModifiedDate":"2025-12-01T16:23:56.503019","indexId":"70269477","displayToPublicDate":"2025-07-23T09:32:19","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Bright spots for advancing ecological understanding and conservation decision-making","docAbstract":"A lot can be learned by studying bright spots—defined as unexpected positive outcomes. In fields like public health, education, and oncology, identifying factors behind bright spots reveals previously unknown drivers of success that can be replicated elsewhere. This concept is being applied in conservation but is hampered by variations in definitions of bright spots and confusion with hotspots—sites with high absolute values of a metric. We developed a framework to clearly define and distinguish between hotspots (e.g., a wetland with high plant diversity) and bright spots (e.g., a biodiverse wetland in a housing development), which outperform conservation expectations. The framework is an iterative cycle, consisting of setting expectations for relative comparisons, classifying systems into bright, dark, hot, and cold categories, and digging deeper to reveal hidden mechanisms and opportunities for intervention. We drew on examples from diverse fields to demonstrate how our framework can generate new knowledge, identify potential interventions, and inform management priorities. Defining conservation and management expectations, often through predictive models, is essential to understanding drivers of success and fosters hypotheses about overlooked factors. Our framework can enhance ecological understanding, guide interventions, and help prioritize actions in conservation and natural resource management.
","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/cobi.70109","usgsCitation":"Embke, H., Feiner, Z.S., Hansen, G., Isermann, D.A., Jensen, O., Rounds, C., Smith, Q., and Vander Zanden, M., 2025, Bright spots for advancing ecological understanding and conservation decision-making: Conservation Biology, v. 39, no. 6, e70109, 13 p., https://doi.org/10.1111/cobi.70109.","productDescription":"e70109, 13 p.","ipdsId":"IP-164862","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":65882,"text":"Midwest Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":493307,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/cobi.70109","text":"Publisher Index Page"},{"id":492829,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-07-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Embke, Holly Susan 0000-0002-9897-7068","orcid":"https://orcid.org/0000-0002-9897-7068","contributorId":358337,"corporation":false,"usgs":true,"family":"Embke","given":"Holly Susan","affiliations":[{"id":65882,"text":"Midwest Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":943845,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Feiner, Zachary S.","contributorId":342575,"corporation":false,"usgs":false,"family":"Feiner","given":"Zachary","email":"","middleInitial":"S.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":943846,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hansen, Gretchen","contributorId":174810,"corporation":false,"usgs":false,"family":"Hansen","given":"Gretchen","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":943847,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":943848,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jensen, Olaf P.","contributorId":348884,"corporation":false,"usgs":false,"family":"Jensen","given":"Olaf P.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":943849,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rounds, Christopher I.","contributorId":349471,"corporation":false,"usgs":false,"family":"Rounds","given":"Christopher I.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":943850,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Smith, Quinn","contributorId":358490,"corporation":false,"usgs":false,"family":"Smith","given":"Quinn","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":943851,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vander Zanden, M. 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However, the traditional methods, such as linear interpolation and the continuous-time correlated random walk model, are often inadequate to capture the complexity of animal movements. Here, we develop a deep learning approach to animal trajectory imputation by a conditional diffusion model. Unlike the traditional methods, our deep learning method uses observed data and external covariates to impute missing positions along an animal trajectory, capturing periodic patterns and the influence of covariates, which leads to more accurate imputations. In a case study of imputing deer trajectories, our method not only provides more accurate deterministic imputations than existing approaches but also achieves uncertainty quantification through probabilistic imputation.
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U.S. Geological Survey
Mail Stop 511
12201 Sunrise Valley Drive
Reston, VA 20192
Email: 3DEP@usgs.gov
","tableOfContents":"We performed a diagnostic disease investigation on a wild smallmouth bass (Micropterus dolomieu) with skin ulcers that was collected from Lake Oahe, South Dakota, following reports from anglers of multiple fish with similar lesions. Gross and histologic lesions of ulcerative dermatitis, myositis, and lymphocytolysis within the spleen and kidneys were consistent with largemouth bass virus (LMBV) infection. LMBV was detected by conventional PCR in samples of a skin ulcer, and the complete genome sequence of the LMBV (99,184 bp) was determined from a virus isolate obtained from a homogenized skin sample. A maximum likelihood (ML) phylogenetic analysis based on the major capsid protein (MCP) gene alignment supported the LMBV isolate (LMBV-SD-2023) as a member of the species Ranavirus micropterus1, branching within the subclade of LMBV isolates recovered from North American largemouth (Micropterus salmoides) and smallmouth bass. This is the first detection of LMBV in wild smallmouth bass from South Dakota. The ultrastructure of the LMBV isolate exhibited the expected icosahedral shape of virions budding from cellular membranes. Viral nucleic acid in infected cells was visualized via in situ hybridization (ISH) within dermal granulomas, localized predominantly at the margin of epithelioid macrophages and central necrosis. Further sampling is needed to determine the geographic distribution, affected populations, and evolutionary relationship between isolates of LMBV.
","language":"English","publisher":"MDPI","doi":"10.3390/v17081031","usgsCitation":"Haake, C.J., Waltzek, T.B., Eckstrand, C.D., Hickey, N., Reno, J.L., Wolking, R.M., Sriwanayos, P., Lovy, J., Renner, E.A., Taylor, K.R., and Oliveira, R., 2025, Pathology, tissue distribution, and phylogenomic characterization of largemouth bass virus isolated from a wild smallmouth bass (Micropterus dolomieu): Viruses, v. 17, no. 8, 1031, 14 p., https://doi.org/10.3390/v17081031.","productDescription":"1031, 14 p.","ipdsId":"IP-180025","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":496335,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/v17081031","text":"Publisher Index Page"},{"id":496272,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","otherGeospatial":"Lake Oahe","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -100.65536316236422,\n 44.52194507492791\n ],\n [\n -100.65536316236422,\n 44.4268744718523\n ],\n [\n -100.38226682719576,\n 44.4268744718523\n ],\n [\n -100.38226682719576,\n 44.52194507492791\n ],\n [\n -100.65536316236422,\n 44.52194507492791\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"17","issue":"8","noUsgsAuthors":false,"publicationDate":"2025-07-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Haake, Christine J.E.","contributorId":361903,"corporation":false,"usgs":false,"family":"Haake","given":"Christine","middleInitial":"J.E.","affiliations":[{"id":86379,"text":"Washington State University, College of Veterinary Medicine, Pullman, Washington","active":true,"usgs":false}],"preferred":false,"id":949615,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waltzek, Thomas 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University","active":true,"usgs":false}],"preferred":false,"id":949623,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Taylor, Kyle R.","contributorId":361910,"corporation":false,"usgs":false,"family":"Taylor","given":"Kyle","middleInitial":"R.","affiliations":[{"id":86379,"text":"Washington State University, College of Veterinary Medicine, Pullman, Washington","active":true,"usgs":false}],"preferred":false,"id":949624,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Oliveira, Ryan","contributorId":361911,"corporation":false,"usgs":false,"family":"Oliveira","given":"Ryan","affiliations":[{"id":86379,"text":"Washington State University, College of Veterinary Medicine, Pullman, Washington","active":true,"usgs":false}],"preferred":false,"id":949625,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70271411,"text":"70271411 - 2025 - Risks and rewards of pre-emergent herbicide (indaziflam) to defend core sagebrush-steppe ecosystems under suboptimal precipitation","interactions":[],"lastModifiedDate":"2025-09-12T15:52:35.004585","indexId":"70271411","displayToPublicDate":"2025-07-23T08:44:51","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":22351,"text":"Rangeland Ecology and Mangement","active":true,"publicationSubtype":{"id":10}},"title":"Risks and rewards of pre-emergent herbicide (indaziflam) to defend core sagebrush-steppe ecosystems under suboptimal precipitation","docAbstract":"Protection of intact habitat from the spread of invasive plants is a global priority, especially where invaders alter wildfire occurrence. Invasion of perennial sagebrush-steppe ecosystems by cheatgrass and other fire-promoting exotic annual grasses (EAGs) is one of the most notorious examples of this problem. Protection and expansion of the remaining intact “core” sagebrush areas are key management goals, and whether this can be accomplished by temporarily inhibiting annual plant populations with pre-emergent herbicides is a key question. We applied indaziflam in fall 2019 to replicate plots within two sagebrush-steppe sites in the Northern Great Basin, USA: 1) a relatively intact, uninvaded, unburned “core” site and 2) a partially invaded site that burned in the 2015 Soda Wildfire. Vegetation cover, density, and growth responses of native perennials were measured annually to 2024. We asked whether our treatments “defended” and “grew” core sagebrush areas. EAG cover remained <15% in indaziflam-treated plots while increasing to >30% in control plots by the fifth year after treatment at the unburned site but did not differ with treatment at the burned site. Native perennial grasses, forbs, and big sagebrush cover and growth did not differ with indaziflam treatment at either site. Moss cover was temporarily lower in indaziflam-treated plots at the unburned site, and cover of a native annual forb was significantly lower in indaziflam-treated plots throughout the study across both sites. Despite posttreatment drought and apparent patchiness in treatment implementation, our treatments “defended the core” by preventing crossing of the 20% EAG invasion threshold in the unburned site but not did not “grow the core.” Our results provide an example of a case in which proactive protection may be easier to accomplish than reactive restoration. Herbicide treatment effects may be sensitive to weather and application details. Implementation monitoring could help explain variability and improve success.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rama.2025.06.006","usgsCitation":"Lazarus, B., and Germino, M., 2025, Risks and rewards of pre-emergent herbicide (indaziflam) to defend core sagebrush-steppe ecosystems under suboptimal precipitation: Rangeland Ecology and Mangement, v. 102, p. 153-159, https://doi.org/10.1016/j.rama.2025.06.006.","productDescription":"7 p.","startPage":"153","endPage":"159","ipdsId":"IP-174916","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":495450,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"southwest Idaho","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.0281637645661,\n 45.32440983273477\n ],\n [\n -117.0281637645661,\n 42.024317484614414\n ],\n [\n -115.45605431551574,\n 42.024317484614414\n ],\n [\n -115.45605431551574,\n 45.32440983273477\n ],\n [\n -117.0281637645661,\n 45.32440983273477\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"102","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lazarus, Brynne 0000-0002-6352-486X blazarus@usgs.gov","orcid":"https://orcid.org/0000-0002-6352-486X","contributorId":218016,"corporation":false,"usgs":true,"family":"Lazarus","given":"Brynne","email":"blazarus@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":948639,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Germino, Matthew 0000-0001-6326-7579","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":218007,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":948640,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70269690,"text":"70269690 - 2025 - Daily fluctuating flows affect riparian plant species distributions from local to regional scales","interactions":[],"lastModifiedDate":"2025-07-30T15:16:37.98138","indexId":"70269690","displayToPublicDate":"2025-07-23T08:07:01","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":849,"text":"Applied Vegetation Science","active":true,"publicationSubtype":{"id":10}},"title":"Daily fluctuating flows affect riparian plant species distributions from local to regional scales","docAbstract":"Aims
The number of hydropower dams has grown globally over recent decades, with significant impacts on downstream riparian plant communities. Many of these dams generate daily fluctuating flows known as hydropeaking to meet sub-daily variation in energy demands. Hydropeaking can significantly impact riparian plant communities, with obligate riparian species tending to experience the greatest negative effects on habitat suitability. Whether this pattern holds in arid biomes where daily soil moisture enhancements could benefit some plants is an open question.
Location
Colorado River, Grand Canyon, Western USA.
Methods
We used occurrence records to model species responses to variation in daily flow fluctuations across 32 689 river segments in the Western United States. We then applied estimates of hydropeaking responses derived from those models to understanding the abundance and fine scale hydrologic niches of riparian plant species in the Colorado River ecosystem downstream of Glen Canyon Dam, which has experienced vegetation expansion attributed to river regulation, including hydropeaking that began in 1964.
Results
At the regional scale, species with greater wetland dependence exhibited increasingly negative responses to hydropeaking across 1 496 species, consistent with previous studies at smaller scales. At the local scale of the Colorado River, we found that species inhabiting near-channel habitat characterized by daily inundation and exposure had positive modeled responses to hydropeaking, consistent with a long history of selection for species tolerant of hydropeaking. In contrast, species inhabiting the zone immediately above peak daily river stage had negative modeled responses to hydropeaking, suggesting that they are being excluded from otherwise suitable habitat nearer the channel.
Conclusions
These results demonstrate that hydropeaking can impact species distributions from local to regional scales by excluding obligate wetland species and reducing habitat suitability for some facultative wetland species. These results from an arid river system are consistent with those reported from other biomes.
","language":"English","publisher":"Wiley","doi":"10.1111/avsc.70033","usgsCitation":"Butterfield, B.J., and Palmquist, E.C., 2025, Daily fluctuating flows affect riparian plant species distributions from local to regional scales: Applied Vegetation Science, v. 28, no. 3, e70033, 14 p., https://doi.org/10.1111/avsc.70033.","productDescription":"e70033, 14 p.","ipdsId":"IP-173588","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":493189,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Glen Canyon Dam to Lake Mead","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -114.69796878470245,\n 37.294312973717396\n ],\n [\n -114.69796878470245,\n 36.01181577939015\n ],\n [\n -111.34429886929873,\n 36.01181577939015\n ],\n [\n -111.34429886929873,\n 37.294312973717396\n ],\n [\n -114.69796878470245,\n 37.294312973717396\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"28","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-07-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Butterfield, Bradley J. 0000-0003-0974-9811","orcid":"https://orcid.org/0000-0003-0974-9811","contributorId":167009,"corporation":false,"usgs":false,"family":"Butterfield","given":"Bradley","email":"","middleInitial":"J.","affiliations":[{"id":24591,"text":"Merriam-Powell Center for Environmental Research and Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":944450,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Palmquist, Emily C. 0000-0003-1069-2154 epalmquist@usgs.gov","orcid":"https://orcid.org/0000-0003-1069-2154","contributorId":5669,"corporation":false,"usgs":true,"family":"Palmquist","given":"Emily","email":"epalmquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":944451,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70273373,"text":"70273373 - 2025 - From water to web: Trophic transfer of neonicotinoids from a wastewater effluent-dominated stream to riparian spiders","interactions":[],"lastModifiedDate":"2026-01-09T17:41:12.353802","indexId":"70273373","displayToPublicDate":"2025-07-22T11:32:52","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23128,"text":"ACS Environmental Au","active":true,"publicationSubtype":{"id":10}},"title":"From water to web: Trophic transfer of neonicotinoids from a wastewater effluent-dominated stream to riparian spiders","docAbstract":"Municipal wastewater is a known point source of organic contaminants, including pharmaceuticals and neonicotinoid insecticides. Emergent aquatic insects can provide a direct aquatic-to-terrestrial contaminant transfer route to the food web, with implications for terrestrial food web dispersal of wastewater-derived organic contaminants. We quantified 17 target pharmaceuticals and insecticides (log Kow: −1.43 to 4.75) in surface water, fish, aquatic insects, and web-building riparian spiders at a wastewater effluent-dominated stream in eastern Iowa, USA. Two neonicotinoids, imidacloprid and clothianidin, had spider tissue concentrations of 8.9–84 ng/g and 1.2–11 ng/g, respectively. The imidacloprid/clothianidin ratios in spider tissues were reflective of the concentration ratios in the effluent-dominated streamwater and opposite of nearby agriculturally dominated waters. In contrast, no pharmaceuticals were detectable in the riparian spiders; however, only pharmaceuticals were present in both fish and aquatic insects (1.1–11 ng/g and 5.9–51 ng/g, respectively). Neonicotinoids are not predicted to enter aquatic food webs based on their log Kow and bioconcentration factor values; therefore, an implication of this study is to warrant caution when using traditional bioaccumulation models for polar hydrophilic contaminants. This work provides further evidence that neonicotinoids undergo trophic transfer and represents the initial measurements, implicating such a transfer from effluent-dominated streams into terrestrial food webs. While this study emphasizes field-relevant observations, it is limited by environmental variability, including uncertainties in the biomass of emergent insects that likely contribute to spider diets. Future research could investigate contaminant metabolites within individual organisms or use complementary techniques to better understand the underlying mechanisms.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/acsenvironau.5c00021","usgsCitation":"Mianecki, A.L., Behrens, J.R., Kolpin, D., Hemphill, G.R., Kapoor, K., and LeFevre, G.H., 2025, From water to web: Trophic transfer of neonicotinoids from a wastewater effluent-dominated stream to riparian spiders: ACS Environmental Au, v. 5, no. 5, p. 457-467, https://doi.org/10.1021/acsenvironau.5c00021.","productDescription":"11 p.","startPage":"457","endPage":"467","ipdsId":"IP-164873","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":498680,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acsenvironau.5c00021","text":"Publisher Index Page"},{"id":498518,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","otherGeospatial":"Muddy Creek","volume":"5","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-07-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Mianecki, A. L.","contributorId":364924,"corporation":false,"usgs":false,"family":"Mianecki","given":"A.","middleInitial":"L.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":953490,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Behrens, J. R.","contributorId":358445,"corporation":false,"usgs":false,"family":"Behrens","given":"J.","middleInitial":"R.","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":953491,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kolpin, Dana W. 0000-0002-3529-6505","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":205652,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953492,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hemphill, G. R.","contributorId":364926,"corporation":false,"usgs":false,"family":"Hemphill","given":"G.","middleInitial":"R.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":953493,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kapoor, K.","contributorId":364928,"corporation":false,"usgs":false,"family":"Kapoor","given":"K.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":953494,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"LeFevre, G. H.","contributorId":364930,"corporation":false,"usgs":false,"family":"LeFevre","given":"G.","middleInitial":"H.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":953495,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}