Uranium (U) mining increases environmental exposures. Understanding how U is taken up by organisms can aid in evaluating the potential for bioaccumulation and toxicity. Although the importance of aqueous geochemical speciation is well recognized for U bioavailability after dissolved exposures, far less is known about the processes controlling U bioavailability after dietary exposures. This study characterizes the biogeochemical drivers of dietary U uptake in the freshwater snail Lymnaea stagnalis in laboratory experiments. Solids tested included benthic diatoms pre-exposed to dissolved U(VI), soils from contaminated U mine sites, and colloidal hydrous ferric oxide (HFO) synthesized in the presence of dissolved U(VI) or with U complexed by natural organic matter (NOM). Results showed that U was bioavailable from all solids. Uranium assimilation efficiency (AE), a proxy for dietary U bioavailability, varied among solids. AE was lowest for the U-contaminated soils (25 ± 17%) and highest for the U-laden diatoms (71 ± 13%). AE varied slightly among HFO preparations, suggesting modest influences of NOM and iron on U bioavailability. Increases in dietary U exposures reduced feeding rates, and the extent of feeding inhibition appeared inversely related to U bioavailability. The high U assimilation and range of bioavailability have implications for toxicity risks inferred without considering dietary uptake.
","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.5c05140","usgsCitation":"Croteau, M.N., Fuller, C.C., Cain, D.J., and Campbell, K.M., 2025, Dietary bioavailability of uranium to a model freshwater invertebrate: Environmental Science and Technology, v. 59, no. 31, p. 16641-16651, https://doi.org/10.1021/acs.est.5c05140.","productDescription":"11 p.","startPage":"16641","endPage":"16651","ipdsId":"IP-172293","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":493091,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"59","issue":"31","noUsgsAuthors":false,"publicationDate":"2025-07-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Croteau, Marie Noele 0000-0003-0346-3580 mcroteau@usgs.gov","orcid":"https://orcid.org/0000-0003-0346-3580","contributorId":895,"corporation":false,"usgs":true,"family":"Croteau","given":"Marie","email":"mcroteau@usgs.gov","middleInitial":"Noele","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":944277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, Christopher C. 0000-0002-2354-8074 ccfuller@usgs.gov","orcid":"https://orcid.org/0000-0002-2354-8074","contributorId":1831,"corporation":false,"usgs":true,"family":"Fuller","given":"Christopher","email":"ccfuller@usgs.gov","middleInitial":"C.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":944278,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cain, Daniel J. 0000-0002-3443-0493 djcain@usgs.gov","orcid":"https://orcid.org/0000-0002-3443-0493","contributorId":1784,"corporation":false,"usgs":true,"family":"Cain","given":"Daniel","email":"djcain@usgs.gov","middleInitial":"J.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":944279,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Campbell, Kate M. 0000-0002-8715-5544 kcampbell@usgs.gov","orcid":"https://orcid.org/0000-0002-8715-5544","contributorId":1441,"corporation":false,"usgs":true,"family":"Campbell","given":"Kate","email":"kcampbell@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":944280,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70270898,"text":"70270898 - 2025 - Suturing fragmented landscapes: Mosaic hybrid zones in plants may facilitate ecosystem resiliency","interactions":[],"lastModifiedDate":"2025-08-26T16:02:58.223558","indexId":"70270898","displayToPublicDate":"2025-07-28T08:58:07","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3164,"text":"Proceedings of the National Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Suturing fragmented landscapes: Mosaic hybrid zones in plants may facilitate ecosystem resiliency","docAbstract":"Many widespread plant taxa of western North America have diversified into phenotypically and genetically divergent lineages due to complex biogeographic histories across heterogeneous landscapes. Mosaic hybrid zones can form when geographically co-occurring, yet environmentally distinct, lineages cross-pollinate and form hybrids that occupy unique environmental niches absent of a geographic cline. This expands the total environmental space across which parental and hybrid individuals grow, resulting in larger, less fragmented geographic distributions. Here, we highlight hybridization mosaics across three study systems containing taxa critical to widespread plant communities in western North America: Ericameria nauseosa, Artemisia tridentata, and Sphaeralcea fendleri. The systems contain diverged taxa that co-occur across the landscape and hybridize readily. Hybridization among taxa has facilitated niche expansion into intermediate environments consistent with unique combinations of adaptive genetic variation, creating more continuity within each study system—study systems occupy ~820 to 270,000 km2 more geographic area by virtue of hybridization. Furthermore, hybrids are predicted to play important roles in future climates, as they may occupy 8 to 475% larger distributions compared to present. Convergent patterns signal mosaic hybridization as an underappreciated mechanism with broad ecological and evolutionary ramifications. Leveraging mosaic hybridization may assist the creation of restoration management plans that aim to mitigate the deleterious effects of habitat fragmentation on ecosystems in the context of climate change.
","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.2410941122","usgsCitation":"Massatti, R., Faske, T., Barnes, I.M., Leger, E.A., Parchman, T.L., Richardson, B.A., and Knowles, L.L., 2025, Suturing fragmented landscapes: Mosaic hybrid zones in plants may facilitate ecosystem resiliency: Proceedings of the National Academy of Sciences, v. 122, no. 31, e2410941122, 8p., https://doi.org/10.1073/pnas.2410941122.","productDescription":"e2410941122, 8p.","ipdsId":"IP-167831","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":495063,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.2410941122","text":"Publisher Index Page"},{"id":494913,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"western United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.57181221073992,\n 44.92807714069116\n ],\n [\n -120.57181221073992,\n 33.77979877723362\n ],\n [\n -104.39679405973946,\n 33.77979877723362\n ],\n [\n -104.39679405973946,\n 44.92807714069116\n ],\n [\n -120.57181221073992,\n 44.92807714069116\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"122","issue":"31","noUsgsAuthors":false,"publicationDate":"2025-07-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Massatti, Robert 0000-0001-5854-5597","orcid":"https://orcid.org/0000-0001-5854-5597","contributorId":207294,"corporation":false,"usgs":true,"family":"Massatti","given":"Robert","email":"","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":947321,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Faske, Trevor Morgan 0000-0003-4396-4654","orcid":"https://orcid.org/0000-0003-4396-4654","contributorId":356373,"corporation":false,"usgs":true,"family":"Faske","given":"Trevor Morgan","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":947322,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnes, Ivana M.","contributorId":360623,"corporation":false,"usgs":false,"family":"Barnes","given":"Ivana","middleInitial":"M.","affiliations":[{"id":86064,"text":"Department of Ecology and Evolutionary Biology, The University of Michigan, Ann Arbor, MI 48104, USA","active":true,"usgs":false}],"preferred":false,"id":947323,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leger, Elizabeth A.","contributorId":360624,"corporation":false,"usgs":false,"family":"Leger","given":"Elizabeth","middleInitial":"A.","affiliations":[{"id":86065,"text":"Department of Biology, University of Nevada, Reno, NV 89557, USA","active":true,"usgs":false}],"preferred":false,"id":947324,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Parchman, Thomas L.","contributorId":360625,"corporation":false,"usgs":false,"family":"Parchman","given":"Thomas","middleInitial":"L.","affiliations":[{"id":86065,"text":"Department of Biology, University of Nevada, Reno, NV 89557, USA","active":true,"usgs":false}],"preferred":false,"id":947325,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Richardson, Bryce A.","contributorId":360626,"corporation":false,"usgs":false,"family":"Richardson","given":"Bryce","middleInitial":"A.","affiliations":[{"id":86066,"text":"USDA Forest Service, Rocky Mountain Research Station, Moscow, ID 83843, USA","active":true,"usgs":false}],"preferred":false,"id":947326,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Knowles, L. Lacey","contributorId":360627,"corporation":false,"usgs":false,"family":"Knowles","given":"L.","middleInitial":"Lacey","affiliations":[{"id":86064,"text":"Department of Ecology and Evolutionary Biology, The University of Michigan, Ann Arbor, MI 48104, USA","active":true,"usgs":false}],"preferred":false,"id":947327,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70269556,"text":"ofr20251022 - 2025 - Contributions of erosion, deposition, and human activities to a change in sand storage in the bed of San Francisco Bay, California, 1980s to 2010s","interactions":[],"lastModifiedDate":"2026-02-03T14:38:01.331405","indexId":"ofr20251022","displayToPublicDate":"2025-07-28T08:39:19","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":"2025-1022","displayTitle":"Contributions of Erosion, Deposition, and Human Activities to a Change in Sand Storage in the Bed of San Francisco Bay, California, 1980s to 2010s","title":"Contributions of erosion, deposition, and human activities to a change in sand storage in the bed of San Francisco Bay, California, 1980s to 2010s","docAbstract":"This study by the U.S. Geological Survey (USGS) provides estimates of the change in sand storage in bed sediments from the 1980s to 2010s in the San Francisco Bay area, California. The study is part of a larger project called “Research to Understand Impacts of Bay Sand Mining on Sand Transport in San Francisco Bay and the Outer Coast” that has the goal of providing information for the California Coastal Conservancy to inform decision making regarding sand mining activities. Information from this study will contribute to the sand budget for the San Francisco Bay system by accounting for sand made available by erosion of bay sediment and sequestered by deposition in the bay.
Sediment budgets for estuaries typically account for change in sediment storage in the bed without discriminating for sediment size. However, the physics of mud and sand erosion, deposition, and transport differ. Sediment budgets that treat mud and sand separately give a more complete understanding of the system, including how human activities related to sediment size, such as sand mining, affect the system. We used bathymetric change analysis in combination with a three-dimensional model to generate estimates of net change in sand storage within the San Francisco Bay floor. We document sediment volume change from a 1980s bathymetric surface to a 2010s bathymetric surface, in combination with information on the sand content of the bed sediment derived from sediment cores and surface samples from six different sediment studies, to estimate the net change in sand volume in the bed of San Francisco Bay. This analysis includes areas heavily affected by human activities (such as sand mining, dredging, and sediment disposal) as well as regions more representative of natural transport processes.
Overall, the sediment bed of San Francisco Bay is losing sand. Across the total area surveyed in San Francisco Bay, including areas affected by natural processes, oyster shell beds, and human activities, a net loss of about 17 million cubic meters (Mm3) of sand from the sediment bed occurred from the 1980s to 2010s, at a rate of about 0.8 Mm3 per year. For the period of this study, sand loss from bed level changes in permitted sand-lease mining areas (about 11 Mm3) accounts for about two-thirds of the total sand loss throughout the study area. It is important to consider potential uncertainty bounds when interpreting these findings. A key part of the report is an assessment of the uncertainties in our estimates of sand volumes. We estimate that variability in modeled sand content values of Bay floor sediments could result in an uncertainty of approximately 25 percent of the net sand volume change. Even larger uncertainty amounts may be associated with uncertainty in the systematic errors in the bathymetric surveys. Further refining estimates of uncertainty in bathymetric change is important in guiding the use of this study. The results presented here can fill a critical gap that may enable the creation of the first comprehensive sand budget of San Francisco Bay.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251022","collaboration":"Prepared in cooperation with the San Francisco Estuary Institute","usgsCitation":"Fregoso, T.A., Jaffe, B.E., Foxgrover, A.C., Woodrow, D.L., Kharrazi, B., and Orzech, K., 2025, Contributions of erosion, deposition, and human activities to a change in sand storage in the bed of San Francisco Bay, California, 1980s to 2010s: U.S. Geological Survey Open-File Report 2025–1022, 30 p., https://doi.org/10.3133/ofr20251022.","productDescription":"Report: vii, 30 p.; 4 Data Releases","numberOfPages":"30","onlineOnly":"Y","ipdsId":"IP-154253","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":492954,"rank":9,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7XG9PB0","text":"USGS data release","description":"Woodrow, D.L., Chin, J.L., Wong, F.L., Fregoso, T.A., Jaffe, B.E., 2017, Gravity cores from San Pablo Bay and Carquinez Strait, San Francisco Bay, California: U.S. Geological Survey data release, https://doi.org/10.5066/F7XG9PB0.","linkHelpText":"Gravity cores from San Pablo Bay and Carquinez Strait, San Francisco Bay, California"},{"id":492953,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BDEB3K","text":"USGS data release","description":"Takesue, R.K., McGann, M.L., Lorenson, T.D., and Watt, J.T., 2021, Geophysical properties, geochronologic, and geochemical data of sediment cores collected from San Pablo Bay, California, October 17–20, 2016: U.S. Geological Survey data release, https://doi.org/10.5066/P9BDEB3K.","linkHelpText":"Geophysical properties, geochronologic, and geochemical data of sediment cores collected from San Pablo Bay, California, October 17–20, 2016"},{"id":492950,"rank":5,"type":{"id":34,"text":"Image 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U.S. Geological Survey
2885 Mission St.
Santa Cruz, CA 95060
Recreation demand analysis has relied on mail and internet surveys to collect information on individual recreators. However, conducting these surveys is costly and time-consuming. Alternative sources that report aggregate visitation may go unused due to a lack of information about trip starting points. We set up and solve a system of equations that predict reservoir visits and the home locations of recreational anglers. Using mode-level effort statistics from Nebraska creel surveys, we separate the effects of travel cost and site attributes between bank and boat anglers, which allows us to measure heterogenous values for public reservoir access.
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of a white-tailed deer (Odocoileus virginianus) by an invasive Burmese python (Python bivitattus) in Big Cypress National Preserve, Florida, USA","docAbstract":"The Burmese python (Python bivittatus) is native to Southeast Asia and has an established invasive population throughout South Florida. As part of the effort to understand invasive python biology and potential impacts to the native ecosystem, we have been using radio-telemetry to investigate feeding rates of adult female pythons. The body size and gape of adult Burmese pythons enable them to consume large native prey items including, but not limited to, white-tailed deer (Odocoileus virginianus). As an ectothermic species, Burmese pythons' physiological processes, including digestion, are temperature dependent, which may limit their potential invasive range. The low temperature threshold for python digestion is thought to be 20°C within a laboratory setting. Here, we detail an observation of a radio-telemetered female Burmese python that ingested an adult white-tailed deer, retained the deer within the digestive tract for 10 days, and then vomited the deer coinciding with a drop in air temperature as low as 9.4°C. The python survived the vomiting and was alive at the time of publication. To our knowledge, this is the first observation of a free-ranging Burmese python vomiting a deer within the invasive range without direct disturbance from humans at the time of vomiting. This observation provides additional evidence regarding the limits of thermal tolerance, digestion, and feeding habits of invasive Burmese pythons.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.71875","usgsCitation":"Mangione, T., McCargar, G., Metcalf, M., McBride, L.M., Suastegui, E., Perez, J., Eastridge, C., McCollister, M.F., Romagosa, C., Kissel, A.M., Yackel Adams, A.A., and Sandfoss, M.R., 2025, Cold-induced vomiting of a white-tailed deer (Odocoileus virginianus) by an invasive Burmese python (Python bivitattus) in Big Cypress National Preserve, Florida, USA: Ecology and Evolution, v. 15, no. 7, e71875, 6 p., https://doi.org/10.1002/ece3.71875.","productDescription":"e71875, 6 p.","ipdsId":"IP-176535","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":493319,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.71875","text":"Publisher Index Page"},{"id":493093,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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modern ocean track environmental features like sea surface temperature (SST). Species shift their distributions as the marine environment changes, providing an analogue for past behaviour. Stationarity of species' ecological tolerances is therefore a first-order assumption of all palaeoenvironmental reconstructions based upon modern analogue methods. In this paper we test the hypothesis that planktic foraminifer species temperature preferences did not change between the Late Pliocene and present, using a dataset which contains faunal abundance data and alkenone palaeotemperature data from the same samples. Our dataset includes 463 samples from 29 localities. Pliocene relative abundances of four taxa (Globigerina bulloides, Globigerinita glutinata, Neogloboquadrina pachyderma and Neogloboquadrina incompta) are compared to SST estimates of the same age derived using the alkenone unsaturation ratio (UK'37) palaeothermometer. Core-top abundances of the same taxa were compared to pre-industrial SST. Our Pliocene data are generally concordant with previous work. Pliocene SST responses and those of the pre-industrial are similar, supporting the hypothesis that temperature preferences of planktic foraminifera have been relatively stable since the Late Pliocene. This documentation of stationarity of planktic foraminiferal species' temperature tolerances is helpful in identifying situations where environmental variables other than temperature (e.g. salinity or productivity) exhibit a first-order control on faunal diversity. Our results support the notion of taxonomic uniformitarianism and therefore provide additional confidence in using planktic foraminifera to evaluate both regional and global climate change.
","language":"English","publisher":"Wiley","doi":"10.1111/pala.70018","usgsCitation":"Dowsett, H., Robinson, M.M., Foley, K.M., and Spivey, W., 2025, The conundrum of taxonomic uniformitarianism in planktic foraminifera: Palaeontology, v. 68, no. 4, e70018, 10 p., https://doi.org/10.1111/pala.70018.","productDescription":"e70018, 10 p.","ipdsId":"IP-172361","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":493297,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/pala.70018","text":"Publisher Index Page"},{"id":493238,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"68","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-07-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Dowsett, Harry J. 0000-0003-1983-7524","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":261665,"corporation":false,"usgs":true,"family":"Dowsett","given":"Harry J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":944564,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robinson, Marci M. 0000-0002-9200-4097 mmrobinson@usgs.gov","orcid":"https://orcid.org/0000-0002-9200-4097","contributorId":332062,"corporation":false,"usgs":true,"family":"Robinson","given":"Marci","email":"mmrobinson@usgs.gov","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":944565,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Foley, Kevin M. 0000-0003-1013-462X kfoley@usgs.gov","orcid":"https://orcid.org/0000-0003-1013-462X","contributorId":2543,"corporation":false,"usgs":true,"family":"Foley","given":"Kevin","email":"kfoley@usgs.gov","middleInitial":"M.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":944566,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Spivey, Whittney 0000-0003-1111-3361 wspivey@usgs.gov","orcid":"https://orcid.org/0000-0003-1111-3361","contributorId":214849,"corporation":false,"usgs":true,"family":"Spivey","given":"Whittney","email":"wspivey@usgs.gov","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":944567,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70270212,"text":"70270212 - 2025 - Real-time oil spill concentration assessment through fluorescence imaging and deep learning","interactions":[],"lastModifiedDate":"2025-08-18T15:29:16.381499","indexId":"70270212","displayToPublicDate":"2025-07-27T09:15:09","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2331,"text":"Journal of Hazardous Materials","active":true,"publicationSubtype":{"id":10}},"title":"Real-time oil spill concentration assessment through fluorescence imaging and deep learning","docAbstract":"Oil spills may pose severe ecological and socioeconomic threats, necessitating rapid and accurate environmental assessment. Traditional assessment methods used to determine the extent of a spill including gas chromatography-mass spectrometry, satellite imaging, and visual surveys, are often time-consuming, expensive, and limited by weather conditions or sampling constraints. Furthermore, these methods frequently struggle to provide real-time data crucial for prompt decision-making during spill emergencies. This study addresses these limitations by combining fluorescence imaging, deep learning, a mobile application, and a data management system for automated and real-time oil spill assessment. Our approach leverages a convolutional neural network architecture for feature extraction coupled with a custom regression model, trained and evaluated on a self-curated comprehensive dataset of 1,530 fluorescence images from two distinct oil types, a napthalenic crude oil and an aromatic-napthalenic crude oil, at concentrations ranging from 0 to 500 mg/L. The proposed approach demonstrates superior performance compared to both traditional machine learning models and more complex deep learning architectures, achieving an R² score of 0.9958 and RMSE of 9.28. The application enables rapid, cost-effective field measurements with robust data tracking and analysis capabilities. This research advances oil spill monitoring technology with a scalable solution that balances accuracy, speed, and accessibility for real-time environmental assessment and emergency response.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhazmat.2025.139374","usgsCitation":"Poudel, B., Xie, J., Guo, C., Watt, O., Pulster, E.L., Patel, R.J., Steevens, J.A., and Xu, D., 2025, Real-time oil spill concentration assessment through fluorescence imaging and deep learning: Journal of Hazardous Materials, v. 496, 139374, 10 p., https://doi.org/10.1016/j.jhazmat.2025.139374.","productDescription":"139374, 10 p.","ipdsId":"IP-177565","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":494021,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"496","noUsgsAuthors":false,"publicationDate":"2025-07-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Poudel, Biplab","contributorId":359506,"corporation":false,"usgs":false,"family":"Poudel","given":"Biplab","affiliations":[{"id":39687,"text":"University of Missouri, Columbia","active":true,"usgs":false}],"preferred":false,"id":945730,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xie, Jiacheng","contributorId":331598,"corporation":false,"usgs":false,"family":"Xie","given":"Jiacheng","email":"","affiliations":[],"preferred":false,"id":945731,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guo, Congyu","contributorId":359509,"corporation":false,"usgs":false,"family":"Guo","given":"Congyu","affiliations":[{"id":39687,"text":"University of Missouri, Columbia","active":true,"usgs":false}],"preferred":false,"id":945732,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Watt, Olivia","contributorId":359518,"corporation":false,"usgs":false,"family":"Watt","given":"Olivia","affiliations":[{"id":78382,"text":"formerly Columbia Environmental Research Center","active":true,"usgs":false}],"preferred":false,"id":945733,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pulster, Erin L. 0000-0003-4574-8613","orcid":"https://orcid.org/0000-0003-4574-8613","contributorId":300266,"corporation":false,"usgs":true,"family":"Pulster","given":"Erin","email":"","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":945734,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Patel, Rishi J.","contributorId":359520,"corporation":false,"usgs":false,"family":"Patel","given":"Rishi","middleInitial":"J.","affiliations":[{"id":16806,"text":"Missouri State University","active":true,"usgs":false}],"preferred":false,"id":945735,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Steevens, Jeffery A. 0000-0003-3946-1229","orcid":"https://orcid.org/0000-0003-3946-1229","contributorId":207511,"corporation":false,"usgs":true,"family":"Steevens","given":"Jeffery","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":945736,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Xu, Dong","contributorId":305418,"corporation":false,"usgs":false,"family":"Xu","given":"Dong","email":"","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":945737,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70269637,"text":"70269637 - 2025 - Wet meadow regeneration through restoration of biophysical feedbacks","interactions":[],"lastModifiedDate":"2025-07-29T15:05:50.007385","indexId":"70269637","displayToPublicDate":"2025-07-27T08:01:23","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5738,"text":"Frontiers in Environmental Science","active":true,"publicationSubtype":{"id":10}},"title":"Wet meadow regeneration through restoration of biophysical feedbacks","docAbstract":"Wet meadows are globally significant ecosystems that provide critical hydrological, ecological, and biogeochemical functions, yet their extent has declined dramatically due to land use changes and hydrologic alteration. These sedge-dominated wetlands exist at the drier end of the wetland gradient, maintained by shallow groundwater and periodic inundation. This paper is a global synthesis of the ecological, geomorphic, and hydrological dynamics of wet meadows, with an emphasis on alluvial systems, to inform effective restoration strategies. We compare wet meadows to other wetlands, classify them into palustrine, lacustrine, and alluvial types, then focus on alluvial wet meadows and discuss how their formation and persistence depend on ground and surface water interactions, sediment deposition and flow obstructions, all mediated by biological processes. In particular, we highlight the role of hydric graminoids in resisting erosion and maintaining soil cohesion, how beaver promote meadow persistence, and the significance of wet meadows as carbon sinks. We also present stratigraphic evidence demonstrating that incision, often triggered by anthropogenic activity or changing climate, is the primary mechanism of alluvial wet meadow degradation, resulting in water table decline and shifts in vegetation composition. Restoration requires reversing these incisional processes through techniques that elevate water tables, disperse flow and retain sediment—methods traditionally associated with either soil conservation or stream restoration. These include nature-based solutions that create obstructions such as beaver dams and their analogues, rock and wood-based obstructions and incision trench or gully filling and grading. Given their multifunctional value—including but not limited to flood attenuation, biodiversity support, and carbon sequestration—wet meadows warrant a focused restoration framework. This review advocates for a valley-floor scale restoration paradigm that integrates hydrological reconnection, sediment retention, and biological reinforcement to ensure long-term resilience of these systems in the face of changing climate and land use pressures.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/fenvs.2025.1592036","usgsCitation":"Pollock, M., and Norman, L., 2025, Wet meadow regeneration through restoration of biophysical feedbacks: Frontiers in Environmental Science, v. 13, 1592036, 21 p., https://doi.org/10.3389/fenvs.2025.1592036.","productDescription":"1592036, 21 p.","ipdsId":"IP-172248","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":493323,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fenvs.2025.1592036","text":"Publisher Index Page"},{"id":493104,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","noUsgsAuthors":false,"publicationDate":"2025-07-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Pollock, Michael","contributorId":358835,"corporation":false,"usgs":false,"family":"Pollock","given":"Michael","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":944245,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Norman, Laura M. 0000-0002-3696-8406","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":203300,"corporation":false,"usgs":true,"family":"Norman","given":"Laura M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":944246,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70269894,"text":"70269894 - 2025 - Cyanotoxin and domoic acid occurrence, relation with salinity, and potential recreational health risks in U.S. coasts in the 2015 US EPA National Coastal Condition Assessment","interactions":[],"lastModifiedDate":"2025-08-06T15:03:05.123004","indexId":"70269894","displayToPublicDate":"2025-07-27T07:55:22","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1878,"text":"Harmful Algae","active":true,"publicationSubtype":{"id":10}},"title":"Cyanotoxin and domoic acid occurrence, relation with salinity, and potential recreational health risks in U.S. coasts in the 2015 US EPA National Coastal Condition Assessment","docAbstract":"In the first nationwide study of cyanotoxins in U.S. estuaries, algal toxins, cyanotoxins, chlorophyll, and salinity were measured in samples collected during the National Coastal Condition Assessment 2015. Anatoxin-a (ANAA), cylindrospermopsin (CYLS), domoic acid (DMAC), and microcystins (MCs) were detected by LC/MS/MS in 0.6, 0.9, 8.3, and 2.0 % of samples with mean concentrations of detections of 0.13, 0.13, 0.53, and 0.49 µg/L, respectively. MCs by ELISA were also evaluated, and 4.0 % of samples had measurable MCs with a mean of 0.78 µg/L. While ANAA and CYLS were detected south of 40° latitude, MCs by ELISA and DMAC occurred nationwide. Results were compared to freshwater recreational health thresholds from the World Health Organization and US Environmental Protection Agency to evaluate potential recreational exposure to MCs and CYLS since marine thresholds do not currently exist. Cyanotoxins were categorized using the 2021 World Health Organization Alert Level Framework for recreational exposure with 99.4, 99.1, 94.7, 98.0, and 44.7 % of samples being at the Vigilance Level for ANAA, CYLS, MCs (ELISA and LC/MS/MS), and chlorophyll, respectively with the remaining samples at Alert Level 1. Chlorophyll had 19.9 and 9.9 % of samples at Alert Level 1 and Alert Level 2, respectively. All cyanotoxins were below US EPA health advisory thresholds. ANAA, CYLS, DMAC, and MCs by ELISA were detected in samples with a wide range of salinities, while MCs by LC/MS/MS only occurred in samples with salinity <5 part per thousand (PPT). The source of cyanotoxins is likely a combination of inland transport and in situ estuarine production.
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0000-0002-7630-2078 zlaughrey@usgs.gov","orcid":"https://orcid.org/0000-0002-7630-2078","contributorId":198516,"corporation":false,"usgs":true,"family":"Laughrey","given":"Zachary","email":"zlaughrey@usgs.gov","middleInitial":"R.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":944897,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Femmer, Robin A. 0000-0003-4896-918X","orcid":"https://orcid.org/0000-0003-4896-918X","contributorId":359056,"corporation":false,"usgs":false,"family":"Femmer","given":"Robin","middleInitial":"A.","affiliations":[{"id":85741,"text":"No affiliation, but used to be with USGS","active":true,"usgs":false}],"preferred":false,"id":944898,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Senegal, Sarena L.","contributorId":359057,"corporation":false,"usgs":false,"family":"Senegal","given":"Sarena","middleInitial":"L.","affiliations":[{"id":30739,"text":"United States Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":944899,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Loftin, Keith A. 0000-0001-5291-876X","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":221964,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith","middleInitial":"A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":944900,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70269656,"text":"70269656 - 2025 - A spatial analysis of the groundwater emergence flood hazard in Long Island, New York and near coastal areas surrounding Long Island Sound in New York, Connecticut, and Rhode Island","interactions":[],"lastModifiedDate":"2025-08-01T14:53:14.313529","indexId":"70269656","displayToPublicDate":"2025-07-25T09:42:32","publicationYear":"2025","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":18346,"text":"EarthArXiv","active":true,"publicationSubtype":{"id":32}},"title":"A spatial analysis of the groundwater emergence flood hazard in Long Island, New York and near coastal areas surrounding Long Island Sound in New York, Connecticut, and Rhode Island","docAbstract":"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.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220250149","usgsCitation":"Hough, S., Lamontagne, M., Ebel, J.E., and Baise, L., 2025, Reflections on a trio of North American earthquakes in 1925: Seismological Research Letters, v. 97, no. 1, p. 548-563, https://doi.org/10.1785/0220250149.","productDescription":"16 p.","startPage":"548","endPage":"563","ipdsId":"IP-177706","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":492992,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":493792,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0220250149","text":"Publisher Index Page"}],"country":"Canada, United States","state":"California, Montana, Quebec","city":"Charlevoix, Santa Barabara","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -59.53926709002974,\n 53.87081636094325\n ],\n [\n -83.28222707125245,\n 53.87081636094325\n ],\n [\n -83.28222707125245,\n 38.33111191824375\n ],\n [\n -59.53926709002974,\n 38.33111191824375\n ],\n [\n -59.53926709002974,\n 53.87081636094325\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.68351578110878,\n 50.1420000300991\n ],\n [\n -118.68351578110878,\n 41.07790483235203\n ],\n [\n -105.88082499225033,\n 41.07790483235203\n ],\n [\n -105.88082499225033,\n 50.1420000300991\n ],\n [\n -118.68351578110878,\n 50.1420000300991\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.32391559009457,\n 34.119859058363375\n ],\n [\n -116.7888148930596,\n 34.119859058363375\n ],\n [\n -116.7888148930596,\n 37.37154662231801\n ],\n [\n -122.49989970320146,\n 37.667148547520824\n ],\n [\n -120.32391559009457,\n 34.119859058363375\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"97","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-07-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Hough, Susan E. 0000-0002-5980-2986","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":350979,"corporation":false,"usgs":true,"family":"Hough","given":"Susan E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":944166,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lamontagne, Maurice","contributorId":358790,"corporation":false,"usgs":false,"family":"Lamontagne","given":"Maurice","affiliations":[{"id":85683,"text":"Canadian Geological Survey","active":true,"usgs":false}],"preferred":false,"id":944167,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ebel, John E.","contributorId":198671,"corporation":false,"usgs":false,"family":"Ebel","given":"John","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":944168,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baise, L.","contributorId":358791,"corporation":false,"usgs":false,"family":"Baise","given":"L.","affiliations":[{"id":6936,"text":"Tufts University","active":true,"usgs":false}],"preferred":false,"id":944169,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70270106,"text":"70270106 - 2025 - The impact of the May 1921 superstorm on American telecommunication systems","interactions":[],"lastModifiedDate":"2025-08-11T15:09:51.182641","indexId":"70270106","displayToPublicDate":"2025-07-25T08:03:07","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3456,"text":"Space Weather","active":true,"publicationSubtype":{"id":10}},"title":"The impact of the May 1921 superstorm on American telecommunication systems","docAbstract":"A compilation is presented of impacts (interference and damage) realized on long-line telegraph\nand telephone systems across North America during the 13-16 May 1921 magnetic storm. 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. 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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.
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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}]}} ]}