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":70269604,"text":"70269604 - 2025 - Reflections on a trio of North American earthquakes in 1925","interactions":[],"lastModifiedDate":"2025-12-15T16:24:36.85827","indexId":"70269604","displayToPublicDate":"2025-07-25T08:49:44","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Reflections on a trio of North American earthquakes in 1925","docAbstract":"In 1925, three moderately large damaging earthquakes occurred in North America over four months: the 28 February (local time; LT) M 6.2 Charlevoix, 27 June (LT) M 6.6 Montana, and 29 June M 6.5 Santa Barbara earthquakes. The centennial anniversaries of these events motivated this retrospective consideration focused on the ground motions generated by the three events, including a reconsideration of early intensity assignments for the Montana earthquake. At the time, these three earthquakes appeared to support the arguments of some geologists who downplayed the severity of seismic hazard in southern California relative to other parts of the country. Some of the arguments advanced at that time, for example that Los Angeles “has the least to fear from ‘Acts of God’ of any city under the American flag,” (Hill, 1928) sound naïve if not laughable now, but a comparison of well‐constrained shaking distributions for the three earthquakes reveals the dramatic difference in wave propagation efficiency in western versus eastern North America (ENAM), which leads to moderate ENAM events being felt to much larger distances. At M 6.2, the 1925 Charlevoix earthquake was a notably large event in ENAM. This earthquake was the largest event in eastern Canada since 1870 and caused damage in the epicentral region in addition to towns as far away as 200 km, with felt shaking extending over 1000 km. In contrast, felt shaking from the Santa Barbara earthquake barely extended beyond ∼200 km. Compiling published intensity distributions for larger ENAM earthquakes, we show that perceptible earthquake shaking is not uncommon in ENAM over century time scales, but experience with weakly felt shaking may incline people to downplay potential earthquake risk.
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Impacts\noccurred primarily during local nighttime, after the third of four sudden commencements, and\nduring the storm’s most-prominent main phase. Impacts are attributed to rapid and high-amplitude\ngeomagnetic field variation generated by substorms. This induced potential di erences and\nbetween the grounding points of communication networks that were su cient to cause system\ninterference and damage. In the United States, impacts were concentrated in the Midwest and in\nthe East, regions characterized by high electromagnetic surface impedance. Given technological\nchanges, modern telecommunication systems are less exposed to storms like that of May 1921,\nwhile power-grid systems are now more exposed to them.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025SW004563","usgsCitation":"Love, J.J., Lucas, G.M., Kelbert, A., Schnepf, N.R., Bedrosian, P.A., and McBride, S., 2025, The impact of the May 1921 superstorm on American telecommunication systems: Space Weather, v. 23, no. 7, e2025SW004563, 7 p., https://doi.org/10.1029/2025SW004563.","productDescription":"e2025SW004563, 7 p.","ipdsId":"IP-176044","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":494187,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025sw004563","text":"Publisher Index Page"},{"id":493931,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -112.04591235883407,\n 48.55929857106818\n ],\n [\n -113.11562382583244,\n 44.989521883693286\n ],\n [\n -97.39942377885234,\n 45.62679588654639\n ],\n [\n -94.09937380848437,\n 36.67842728651029\n ],\n [\n -73.77940090499652,\n 39.39897652697945\n ],\n [\n -62.59060976277681,\n 46.438434374285634\n ],\n [\n -112.04591235883407,\n 48.55929857106818\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"23","issue":"7","noUsgsAuthors":false,"publicationDate":"2025-07-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":945467,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lucas, Greg M.","contributorId":359448,"corporation":false,"usgs":false,"family":"Lucas","given":"Greg","middleInitial":"M.","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":945468,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelbert, Anna","contributorId":359449,"corporation":false,"usgs":false,"family":"Kelbert","given":"Anna","affiliations":[{"id":85814,"text":"Harvard-Smithsonian Center for Astrophysics, Cambridge, Massachusetts, 02138, USA","active":true,"usgs":false}],"preferred":false,"id":945469,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schnepf, Neesha R.","contributorId":359450,"corporation":false,"usgs":false,"family":"Schnepf","given":"Neesha","middleInitial":"R.","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":945470,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":945471,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McBride, Sara K. 0000-0002-8062-6542","orcid":"https://orcid.org/0000-0002-8062-6542","contributorId":206933,"corporation":false,"usgs":true,"family":"McBride","given":"Sara K.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":945472,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70270366,"text":"70270366 - 2025 - Benchmarking shoreline prediction models over multi-decadal timescales","interactions":[],"lastModifiedDate":"2025-08-18T14:37:00.840674","indexId":"70270366","displayToPublicDate":"2025-07-24T09:14:42","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8956,"text":"Communications Earth & Environment","active":true,"publicationSubtype":{"id":10}},"title":"Benchmarking shoreline prediction models over multi-decadal timescales","docAbstract":"Robust predictions of shoreline change are critical for sustainable coastal management. Despite advancements in shoreline models, objective benchmarking remains limited. Here we present results from ShoreShop2.0, an international collaborative benchmarking workshop, where 34 groups submitted shoreline change predictions in a blind competition. Subsets of shoreline observations at an undisclosed site (BeachX) over short (5-year) and medium (50-year) periods were withheld from modelers and used for model benchmarking. Using satellite-derived shoreline datasets for calibration and evaluation, the best performing models achieved prediction accuracies on the order of 10 m, comparable to the accuracy of the satellite shoreline data, indicating that certain beaches can be modelled nearly as well as they can be remotely observed. The outcomes from this collaborative benchmarking competition critically review the present state-of-the-art in shoreline change prediction as well as reveal model limitations, facilitate improvements, and offer insights for advancing shoreline-prediction capabilities.
","language":"English","publisher":"Nature","doi":"10.1038/s43247-025-02550-4","usgsCitation":"Mao, Y., Coco, G., Vitousek, S., Antolinez, J.A., Azorakos, G., Banno, M., Bouvier, C., Bryan, K., Cagigal, L., Calcraft, K., Castelle, B., Chen, X., D'Anna, M., de Freitas Pereira, L., de Santiago, I., Deshmukh, A., Dong, B., Elghandour, A., Gohari, A., Gomez-de la Peña, E., Harley, M.D., Ibrahim, M., Idier, D., Jaramillo Cardona, C., Lim, C., Mingo, I., O'Grady, J., Pais, D., Repina, O., Robinet, A., Roelvink, D., Simmons, J., Sogut, E., Wilson, K., and Splinter, K., 2025, Benchmarking shoreline prediction models over multi-decadal timescales: Communications Earth & Environment, v. 6, 581, 15 p., https://doi.org/10.1038/s43247-025-02550-4.","productDescription":"581, 15 p.","ipdsId":"IP-176655","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":494452,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s43247-025-02550-4","text":"Publisher Index Page"},{"id":494255,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Australia","state":"New South Wales","otherGeospatial":"Curl Curl Beach","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 151.28764961958893,\n -33.740052047115455\n ],\n [\n 151.28764961958893,\n -33.78320924309755\n ],\n [\n 151.33874708018328,\n -33.78320924309755\n ],\n [\n 151.33874708018328,\n -33.740052047115455\n ],\n [\n 151.28764961958893,\n -33.740052047115455\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"6","noUsgsAuthors":false,"publicationDate":"2025-07-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Mao, Yongjing","contributorId":359742,"corporation":false,"usgs":false,"family":"Mao","given":"Yongjing","affiliations":[{"id":80179,"text":"UNSW Sydney","active":true,"usgs":false}],"preferred":false,"id":946204,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coco, Giovanni","contributorId":359744,"corporation":false,"usgs":false,"family":"Coco","given":"Giovanni","affiliations":[{"id":38833,"text":"University of Auckland","active":true,"usgs":false}],"preferred":false,"id":946206,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vitousek, Sean 0000-0002-3369-4673 svitousek@usgs.gov","orcid":"https://orcid.org/0000-0002-3369-4673","contributorId":149065,"corporation":false,"usgs":true,"family":"Vitousek","given":"Sean","email":"svitousek@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":946207,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Antolinez, Jose A. 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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.
","language":"English","publisher":"Allen Press","doi":"10.1655/Herpetologica-D-24-00059","usgsCitation":"Doyle, S., Murphy, S.M., Drake, K.K., Hendrix, J., and Esque, T.C., 2025, Spatially explicit demographics of Mojave Desert Tortoises on a demography plot in California, USA: Herpetologica, v. 81, no. 3, p. 215-223, https://doi.org/10.1655/Herpetologica-D-24-00059.","productDescription":"9 p.","startPage":"215","endPage":"223","ipdsId":"IP-173099","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":494090,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"western Mojave Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.015278,\n 35.569444\n ],\n [\n -117.015278,\n 35.544444\n ],\n [\n -116.991667,\n 35.544444\n ],\n [\n -116.991667,\n 35.569444\n ],\n [\n -117.015278,\n 35.569444\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"81","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-07-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Doyle, Sarah 0009-0003-7699-139X","orcid":"https://orcid.org/0009-0003-7699-139X","contributorId":346966,"corporation":false,"usgs":true,"family":"Doyle","given":"Sarah","email":"","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":945987,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murphy, Sean M. 0000-0002-9404-8878","orcid":"https://orcid.org/0000-0002-9404-8878","contributorId":346967,"corporation":false,"usgs":true,"family":"Murphy","given":"Sean","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":945988,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Drake, K. Kristina","contributorId":359645,"corporation":false,"usgs":false,"family":"Drake","given":"K.","middleInitial":"Kristina","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":945989,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hendrix, Julie","contributorId":359648,"corporation":false,"usgs":false,"family":"Hendrix","given":"Julie","affiliations":[{"id":85889,"text":"Naval Air Weapons Station China Lake","active":true,"usgs":false}],"preferred":false,"id":945990,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Esque, Todd C. 0000-0002-4166-6234 tesque@usgs.gov","orcid":"https://orcid.org/0000-0002-4166-6234","contributorId":221817,"corporation":false,"usgs":true,"family":"Esque","given":"Todd","email":"tesque@usgs.gov","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":945991,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70269810,"text":"70269810 - 2025 - Advancing the implementation of coastal restoration in Louisiana through a co-production of science framework","interactions":[],"lastModifiedDate":"2025-08-04T13:58:52.283442","indexId":"70269810","displayToPublicDate":"2025-07-24T08:55:47","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Advancing the implementation of coastal restoration in Louisiana through a co-production of science framework","docAbstract":"Coastal Louisiana faces complex challenges from the compounding effects of coastal land loss and climate change. 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":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":70269477,"text":"70269477 - 2025 - Bright spots for advancing ecological understanding and conservation decision-making","interactions":[],"lastModifiedDate":"2025-12-01T16:23:56.503019","indexId":"70269477","displayToPublicDate":"2025-07-23T09:32:19","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Bright spots for advancing ecological understanding and conservation decision-making","docAbstract":"A lot can be learned by studying bright spots—defined as unexpected positive outcomes. In fields like public health, education, and oncology, identifying factors behind bright spots reveals previously unknown drivers of success that can be replicated elsewhere. This concept is being applied in conservation but is hampered by variations in definitions of bright spots and confusion with hotspots—sites with high absolute values of a metric. We developed a framework to clearly define and distinguish between hotspots (e.g., a wetland with high plant diversity) and bright spots (e.g., a biodiverse wetland in a housing development), which outperform conservation expectations. The framework is an iterative cycle, consisting of setting expectations for relative comparisons, classifying systems into bright, dark, hot, and cold categories, and digging deeper to reveal hidden mechanisms and opportunities for intervention. We drew on examples from diverse fields to demonstrate how our framework can generate new knowledge, identify potential interventions, and inform management priorities. Defining conservation and management expectations, often through predictive models, is essential to understanding drivers of success and fosters hypotheses about overlooked factors. Our framework can enhance ecological understanding, guide interventions, and help prioritize actions in conservation and natural resource management.
","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/cobi.70109","usgsCitation":"Embke, H., Feiner, Z.S., Hansen, G., Isermann, D.A., Jensen, O., Rounds, C., Smith, Q., and Vander Zanden, M., 2025, Bright spots for advancing ecological understanding and conservation decision-making: Conservation Biology, v. 39, no. 6, e70109, 13 p., https://doi.org/10.1111/cobi.70109.","productDescription":"e70109, 13 p.","ipdsId":"IP-164862","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":65882,"text":"Midwest Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":493307,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/cobi.70109","text":"Publisher Index Page"},{"id":492829,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-07-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Embke, Holly Susan 0000-0002-9897-7068","orcid":"https://orcid.org/0000-0002-9897-7068","contributorId":358337,"corporation":false,"usgs":true,"family":"Embke","given":"Holly Susan","affiliations":[{"id":65882,"text":"Midwest Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":943845,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Feiner, Zachary S.","contributorId":342575,"corporation":false,"usgs":false,"family":"Feiner","given":"Zachary","email":"","middleInitial":"S.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":943846,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hansen, Gretchen","contributorId":174810,"corporation":false,"usgs":false,"family":"Hansen","given":"Gretchen","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":943847,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":943848,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jensen, Olaf P.","contributorId":348884,"corporation":false,"usgs":false,"family":"Jensen","given":"Olaf P.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":943849,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rounds, Christopher I.","contributorId":349471,"corporation":false,"usgs":false,"family":"Rounds","given":"Christopher I.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":943850,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Smith, Quinn","contributorId":358490,"corporation":false,"usgs":false,"family":"Smith","given":"Quinn","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":943851,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vander Zanden, M. Jake","contributorId":348495,"corporation":false,"usgs":false,"family":"Vander Zanden","given":"M. Jake","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":943852,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70274060,"text":"70274060 - 2025 - Animal trajectory imputation and uncertainty quantification via deep learning","interactions":[],"lastModifiedDate":"2026-02-20T15:32:42.068338","indexId":"70274060","displayToPublicDate":"2025-07-23T09:28:12","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1577,"text":"Environmetrics","active":true,"publicationSubtype":{"id":10}},"title":"Animal trajectory imputation and uncertainty quantification via deep learning","docAbstract":"Imputing missing data in animal trajectories is crucial for understanding animal movements during unobserved periods. However, the traditional methods, such as linear interpolation and the continuous-time correlated random walk model, are often inadequate to capture the complexity of animal movements. Here, we develop a deep learning approach to animal trajectory imputation by a conditional diffusion model. Unlike the traditional methods, our deep learning method uses observed data and external covariates to impute missing positions along an animal trajectory, capturing periodic patterns and the influence of covariates, which leads to more accurate imputations. In a case study of imputing deer trajectories, our method not only provides more accurate deterministic imputations than existing approaches but also achieves uncertainty quantification through probabilistic imputation.
","language":"English","publisher":"Wiley","doi":"10.1002/env.70027","usgsCitation":"Yao, K., McGahan, I.P., Zhu, J., Storm, D.J., Walsh, D.P., 2025, Animal trajectory imputation and uncertainty quantification via deep learning: Environmetrics, v. 36, no. 6, e70027, 15 p., https://doi.org/10.1002/env.70027.","productDescription":"e70027, 15 p.","ipdsId":"IP-172985","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500575,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/env.70027","text":"Publisher Index Page"},{"id":500342,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-07-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Yao, Kehui","contributorId":339161,"corporation":false,"usgs":false,"family":"Yao","given":"Kehui","email":"","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":956327,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGahan, Ian P.","contributorId":366857,"corporation":false,"usgs":false,"family":"McGahan","given":"Ian","middleInitial":"P.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":956328,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhu, Jun","contributorId":354695,"corporation":false,"usgs":false,"family":"Zhu","given":"Jun","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":956329,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Storm, Daniel J.","contributorId":366860,"corporation":false,"usgs":false,"family":"Storm","given":"Daniel","middleInitial":"J.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":956330,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walsh, Daniel P. 0000-0002-7772-2445","orcid":"https://orcid.org/0000-0002-7772-2445","contributorId":219539,"corporation":false,"usgs":true,"family":"Walsh","given":"Daniel","email":"","middleInitial":"P.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":956331,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70269402,"text":"cir1553 - 2025 - The 3D National Topography Model Call for Action—Part 2: The Next Generation 3D Elevation Program","interactions":[],"lastModifiedDate":"2026-02-03T14:31:31.794807","indexId":"cir1553","displayToPublicDate":"2025-07-23T09:15:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1553","displayTitle":"The 3D National Topography Model Call for Action—Part 2: The Next Generation 3D Elevation Program","title":"The 3D National Topography Model Call for Action—Part 2: The Next Generation 3D Elevation Program","docAbstract":"The three-dimensional (3D) National Topography Model initiative to integrate elevation and hydrography data includes the next generation of hydrography data from the 3D Hydrography Program and the next generation of elevation data from the 3D Elevation Program (3DEP). The first-ever collection of light detection and ranging (lidar) data for the nation (IfSAR for Alaska) provides a critical baseline reference, and the addition of multiple repeat elevation mapping projects as part of the next generation of 3DEP would substantially expand analysis capabilities. As the U.S. Geological Survey (USGS) is closing in on our goal of complete coverage with 3DEP data available or in progress for 98.3 percent of the Nation at the end of fiscal year 2024, the USGS is already transitioning to the next generation of 3DEP.
Based on the 3D Nation Study results and input from a broad range of stakeholders, the USGS National Geospatial Program has finalized a new design for 3DEP that provides increased lidar quality levels and refresh rates. The new program is designed with more flexibility to meet changing user needs and take advantage of improvements in mapping technologies. The program will aim to expand the level of interagency coordination for topobathymetric lidar acquisition for inland rivers. The next generation of 3DEP will also aim to emphasize research, including advancing program design, products, and services and engaging and leveraging the evolving 3D industry. Research goals also include becoming more flexible in meeting user needs and taking advantage of evolving remote-sensing technologies. The program also plans to move from focusing on producing standard products to producing a concept of a 3D Nation Ecosystem with a variety of inputs, products, and services.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1553","programNote":"National Geospatial Program","usgsCitation":"Lukas, V., Sugarbaker, L., Thatcher, C., Jason, A., and Stoker, J., 2025, The 3D National Topography Model Call for Action—Part 2: The Next Generation 3D Elevation Program (version 1.1, July 28, 2025): U.S. Geological Survey\nCircular 1553, 18 p., https://doi.org/10.3133/cir1553.","productDescription":"Report: vii, 18 p.; 2 Project Sites","numberOfPages":"18","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-166629","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":492741,"rank":7,"type":{"id":18,"text":"Project Site"},"url":"https://www.usgs.gov/3d-elevation-program","text":"3D Elevation Program"},{"id":492708,"rank":4,"type":{"id":31,"text":"Publication 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U.S. Geological Survey
Mail Stop 511
12201 Sunrise Valley Drive
Reston, VA 20192
Email: 3DEP@usgs.gov
","tableOfContents":"Aims
The number of hydropower dams has grown globally over recent decades, with significant impacts on downstream riparian plant communities. Many of these dams generate daily fluctuating flows known as hydropeaking to meet sub-daily variation in energy demands. Hydropeaking can significantly impact riparian plant communities, with obligate riparian species tending to experience the greatest negative effects on habitat suitability. Whether this pattern holds in arid biomes where daily soil moisture enhancements could benefit some plants is an open question.
Location
Colorado River, Grand Canyon, Western USA.
Methods
We used occurrence records to model species responses to variation in daily flow fluctuations across 32 689 river segments in the Western United States. We then applied estimates of hydropeaking responses derived from those models to understanding the abundance and fine scale hydrologic niches of riparian plant species in the Colorado River ecosystem downstream of Glen Canyon Dam, which has experienced vegetation expansion attributed to river regulation, including hydropeaking that began in 1964.
Results
At the regional scale, species with greater wetland dependence exhibited increasingly negative responses to hydropeaking across 1 496 species, consistent with previous studies at smaller scales. At the local scale of the Colorado River, we found that species inhabiting near-channel habitat characterized by daily inundation and exposure had positive modeled responses to hydropeaking, consistent with a long history of selection for species tolerant of hydropeaking. In contrast, species inhabiting the zone immediately above peak daily river stage had negative modeled responses to hydropeaking, suggesting that they are being excluded from otherwise suitable habitat nearer the channel.
Conclusions
These results demonstrate that hydropeaking can impact species distributions from local to regional scales by excluding obligate wetland species and reducing habitat suitability for some facultative wetland species. These results from an arid river system are consistent with those reported from other biomes.
","language":"English","publisher":"Wiley","doi":"10.1111/avsc.70033","usgsCitation":"Butterfield, B.J., and Palmquist, E.C., 2025, Daily fluctuating flows affect riparian plant species distributions from local to regional scales: Applied Vegetation Science, v. 28, no. 3, e70033, 14 p., https://doi.org/10.1111/avsc.70033.","productDescription":"e70033, 14 p.","ipdsId":"IP-173588","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":493189,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Glen Canyon Dam to Lake Mead","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -114.69796878470245,\n 37.294312973717396\n ],\n [\n -114.69796878470245,\n 36.01181577939015\n ],\n [\n -111.34429886929873,\n 36.01181577939015\n ],\n [\n -111.34429886929873,\n 37.294312973717396\n ],\n [\n -114.69796878470245,\n 37.294312973717396\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"28","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-07-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Butterfield, Bradley J. 0000-0003-0974-9811","orcid":"https://orcid.org/0000-0003-0974-9811","contributorId":167009,"corporation":false,"usgs":false,"family":"Butterfield","given":"Bradley","email":"","middleInitial":"J.","affiliations":[{"id":24591,"text":"Merriam-Powell Center for Environmental Research and Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":944450,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Palmquist, Emily C. 0000-0003-1069-2154 epalmquist@usgs.gov","orcid":"https://orcid.org/0000-0003-1069-2154","contributorId":5669,"corporation":false,"usgs":true,"family":"Palmquist","given":"Emily","email":"epalmquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":944451,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70273373,"text":"70273373 - 2025 - From water to web: Trophic transfer of neonicotinoids from a wastewater effluent-dominated stream to riparian spiders","interactions":[],"lastModifiedDate":"2026-01-09T17:41:12.353802","indexId":"70273373","displayToPublicDate":"2025-07-22T11:32:52","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23128,"text":"ACS Environmental Au","active":true,"publicationSubtype":{"id":10}},"title":"From water to web: Trophic transfer of neonicotinoids from a wastewater effluent-dominated stream to riparian spiders","docAbstract":"Municipal wastewater is a known point source of organic contaminants, including pharmaceuticals and neonicotinoid insecticides. Emergent aquatic insects can provide a direct aquatic-to-terrestrial contaminant transfer route to the food web, with implications for terrestrial food web dispersal of wastewater-derived organic contaminants. We quantified 17 target pharmaceuticals and insecticides (log Kow: −1.43 to 4.75) in surface water, fish, aquatic insects, and web-building riparian spiders at a wastewater effluent-dominated stream in eastern Iowa, USA. Two neonicotinoids, imidacloprid and clothianidin, had spider tissue concentrations of 8.9–84 ng/g and 1.2–11 ng/g, respectively. The imidacloprid/clothianidin ratios in spider tissues were reflective of the concentration ratios in the effluent-dominated streamwater and opposite of nearby agriculturally dominated waters. In contrast, no pharmaceuticals were detectable in the riparian spiders; however, only pharmaceuticals were present in both fish and aquatic insects (1.1–11 ng/g and 5.9–51 ng/g, respectively). Neonicotinoids are not predicted to enter aquatic food webs based on their log Kow and bioconcentration factor values; therefore, an implication of this study is to warrant caution when using traditional bioaccumulation models for polar hydrophilic contaminants. This work provides further evidence that neonicotinoids undergo trophic transfer and represents the initial measurements, implicating such a transfer from effluent-dominated streams into terrestrial food webs. While this study emphasizes field-relevant observations, it is limited by environmental variability, including uncertainties in the biomass of emergent insects that likely contribute to spider diets. Future research could investigate contaminant metabolites within individual organisms or use complementary techniques to better understand the underlying mechanisms.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/acsenvironau.5c00021","usgsCitation":"Mianecki, A.L., Behrens, J.R., Kolpin, D., Hemphill, G.R., Kapoor, K., and LeFevre, G.H., 2025, From water to web: Trophic transfer of neonicotinoids from a wastewater effluent-dominated stream to riparian spiders: ACS Environmental Au, v. 5, no. 5, p. 457-467, https://doi.org/10.1021/acsenvironau.5c00021.","productDescription":"11 p.","startPage":"457","endPage":"467","ipdsId":"IP-164873","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":498680,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acsenvironau.5c00021","text":"Publisher Index Page"},{"id":498518,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","otherGeospatial":"Muddy Creek","volume":"5","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-07-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Mianecki, A. 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R.","contributorId":364926,"corporation":false,"usgs":false,"family":"Hemphill","given":"G.","middleInitial":"R.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":953493,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kapoor, K.","contributorId":364928,"corporation":false,"usgs":false,"family":"Kapoor","given":"K.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":953494,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"LeFevre, G. H.","contributorId":364930,"corporation":false,"usgs":false,"family":"LeFevre","given":"G.","middleInitial":"H.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":953495,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70269400,"text":"ofr20251039 - 2025 - Evaluating deterrent locations and sequence in the Tennessee and Cumberland Rivers and the Tennessee–Tombigbee Waterway to minimize invasive carp occupancy and abundance","interactions":[],"lastModifiedDate":"2026-02-03T14:30:33.772241","indexId":"ofr20251039","displayToPublicDate":"2025-07-22T09:48:30","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":"2025-1039","displayTitle":"Evaluating Deterrent Locations and Sequence in the Tennessee and Cumberland Rivers and the Tennessee–Tombigbee Waterway to Minimize Invasive Carp Occupancy and Abundance","title":"Evaluating deterrent locations and sequence in the Tennessee and Cumberland Rivers and the Tennessee–Tombigbee Waterway to minimize invasive carp occupancy and abundance","docAbstract":"Invasive carps, specifically silver carp (Hypophthalmichthys molitrix), bighead carp (H. nobilis), grass carp (Ctenopharyngodon idella), and black carp (Mylopharyngodon piceus), have proliferated in the Mississippi River Basin owing to escapes from aquaculture facilities and intentional releases. In the Water Resources and Development Act (WRDA) of 2020 Sec. 509, Congress directed the U.S. Army Corps of Engineers to work with the Tennessee Valley Authority and other relevant agencies with deterrent projects to implement as many as 10 deterrent projects intended to manage and prevent the spread of invasive carp in the Tennessee and Cumberland River subbasins. The WRDA was amended in 2022 to include that at least one location must be situated on the Tennessee–Tombigbee Waterway. This report documents a structured decision-making process that engaged State and Federal agencies to evaluate alternative deterrent site sequences at specified lock and dam complexes on the Tennessee River, Cumberland River, and the Tennessee–Tombigbee Waterway. State and Federal agencies participated in a series of virtual and face-to-face meetings to structure the problem, expand the models used in previous decision analyses for the Tennessee River, and define management objectives. Potential deterrent sites were restricted to the downstream locations on the Tennessee River (n=3), Cumberland River (n=2), and the Tennessee–Tombigbee Waterway (n=10). Only considering 15 sites allowed all feasible deterrent site combinations and sequences to be evaluated. Invasive carp relative abundance was projected for the Tennessee River, Cumberland River, and Tennessee–Tombigbee Waterway management units for 20 years using a simulation model. The deterrent site sequences were ranked based on the system-level invasive carp relative abundance and distribution in year 20. The unique downstream expansion of invasive carp through the Tennessee–Tombigbee Waterway was important to the interest group, but downstream movement rates were unknown; therefore, several downstream movement rates were evaluated, and the outcomes were used to rank deterrent site sequences. Additionally, the analysis incorporated two scenarios involving the retention and removal of an experimental deterrent at Barkley Lock on the Cumberland River. The results of the deterrent site sequences varied among downstream movement rates, with Tennessee–Tombigbee Waterway deterrent locations installed earlier in highly ranked sequences with increasing downstream movement rates. This analysis was time-limited owing to agency needs and represents Phase 1 of this project. Phase 2 expands Phase 1 to address additional uncertainties and more holistic management objectives and strategies.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251039","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Colvin, M.E., Aldridge, C.A., Jackson, N., and Post van der Burg, M., 2025, Evaluating deterrent locations and sequence in the Tennessee and Cumberland Rivers and the Tennessee–Tombigbee Waterway to minimize invasive carp occupancy and abundance: U.S. Geological Survey Open-File Report 2025–1039, 27 p., https://doi.org/10.3133/ofr20251039.","productDescription":"vii, 27 p.","numberOfPages":"40","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-171324","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":492704,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251039/full"},{"id":492703,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1039/images/"},{"id":492702,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1039/ofr20251039.XML"},{"id":492701,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1039/ofr20251039.pdf","text":"Report","size":"4.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2-25–1039"},{"id":492700,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1039/coverthb.jpg"}],"country":"United States","state":"Alabama, Georgia, Kentucky, Mississippi, Tennessee, Virginia","otherGeospatial":"Cumberland River, Tennessee River, Tennessee-Tombigbee Waterway","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -88.25835232816404,\n 30.40221322680152\n ],\n [\n -87.74112738454285,\n 30.53409733966683\n ],\n [\n -86.28197353514268,\n 33.17664867905761\n ],\n [\n -84.58539276715948,\n 35.11174136013369\n ],\n [\n -84.00529754650283,\n 34.7785832881593\n ],\n [\n -83.35182994181118,\n 34.28883621944685\n ],\n [\n -83.19236665540257,\n 35.041055997522406\n ],\n [\n -80.2096850872316,\n 36.78640735388454\n ],\n [\n -80.86738805566942,\n 37.257953522126016\n ],\n [\n -82.13281736640333,\n 37.06950836241309\n ],\n [\n -83.02442148961904,\n 37.262219027957244\n ],\n [\n -83.54138832596139,\n 37.46692711167633\n ],\n [\n -84.33015340933808,\n 37.60749767579556\n ],\n [\n -85.06533697843895,\n 37.036511430167636\n ],\n [\n -85.5677502361562,\n 36.45362253430034\n ],\n [\n -85.87920757818353,\n 36.383379347391596\n ],\n [\n -86.6325463621631,\n 37.379506944709526\n ],\n [\n -87.72434869310914,\n 37.50907115621132\n ],\n [\n -88.41107734207077,\n 37.2244083095801\n ],\n [\n -88.42057356609506,\n 37.02794489656113\n ],\n [\n -89.00288659023786,\n 37.183779269350126\n ],\n [\n -88.75606773049479,\n 35.10788131292719\n ],\n [\n -89.05545157713219,\n 34.33758222980704\n ],\n [\n -88.86237269918561,\n 33.56728314668689\n ],\n [\n -88.61821473605681,\n 32.488997215417314\n ],\n [\n -88.31062051861113,\n 31.90405945387107\n ],\n [\n -88.25835232816404,\n 30.40221322680152\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Columbia Environmental Research Center
U.S. Geological Survey
4200 New Haven Road
Columbia, MO 65201
Invasive silver carp are spreading upstream in the Tennessee and Cumberland Rivers. This report details a collaborative effort among State and Federal agencies to evaluate potential sites for invasive carp deterrent projects along the Tennessee River, Cumberland River, and the Tennessee–Tombigbee Waterway. The findings highlight that project implementation timing could significantly impact their success, especially with increasing downstream movement rates of invasive carp.
","publicationDate":"2025-07-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Colvin, Michael E. 0000-0002-6581-4764","orcid":"https://orcid.org/0000-0002-6581-4764","contributorId":331490,"corporation":false,"usgs":true,"family":"Colvin","given":"Michael","email":"","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":943664,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aldridge, Caleb A.","contributorId":358407,"corporation":false,"usgs":false,"family":"Aldridge","given":"Caleb A.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":943665,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jackson, Neal","contributorId":203382,"corporation":false,"usgs":false,"family":"Jackson","given":"Neal","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":943666,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Post van der Burg, Max 0000-0002-3943-4194","orcid":"https://orcid.org/0000-0002-3943-4194","contributorId":219400,"corporation":false,"usgs":true,"family":"Post van der Burg","given":"Max","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":943667,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70269469,"text":"70269469 - 2025 - Beach nourishment response and recent morphological evolution of Minnesota Point, Lake Superior","interactions":[],"lastModifiedDate":"2025-07-24T14:43:36.320989","indexId":"70269469","displayToPublicDate":"2025-07-22T09:36:52","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Beach nourishment response and recent morphological evolution of Minnesota Point, Lake Superior","docAbstract":"Beach nourishments are a popular nature-based alternative to armoring for shoreline erosion mitigation, but nourishments have been criticized due to their environmental impacts and uncertain sustainability. Monitoring is often nonexistent or insufficient to constrain nourishment longevity and inform the renourishment interval required to maintain shoreline protection. This study uses a combination of topobathymetric surveys, high-resolution satellite-derived shorelines, and coastal engineering analyses to investigate the recent evolution of Minnesota Point and the fate of three beach nourishments constructed adjacent to littoral barriers. We use semi-empirical formulations for sediment compatibility, wave runup, and longshore sediment transport to inform the observed nourishment behavior. Minnesota Point experienced widespread foredune retreat averaging 7±2.8 m from 2009–2019 and 130,000 (70,000–140,000) m3 of sediment was eroded during this interval. The 2019 nourishment at the Superior Entry was rapidly eroded by strong storms, losing >80% of the added beach width by the following spring. The 2020 and 2021 nourishments at the Duluth Entry retained >80% of the nourishment material at the time of the last topobathymetric survey in the fall of 2022, and satellite-derived shorelines indicate that the beach remained 10 m wider than pre-nourishment conditions at the end of 2023. Modeled longshore transport rates over the period 2009–2022 averaged 11,400 m3 yr−1 northwestward at the Superior Entry, nearly 3x greater than the 4000 m3 yr−1 southeastward transport modeled at the Duluth Entry. These observations show that differences in shoreline orientation, littoral sediment supply, and grain size compatibility can lead to contrasting beach nourishment longevities, and this study provides additional measurements of Minnesota Point’s long-term morphological change which can help inform coastal resiliency efforts.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2024.102459","usgsCitation":"Roland, C., Groten, J.T., Lund, J., and Hanson, J.L., 2025, Beach nourishment response and recent morphological evolution of Minnesota Point, Lake Superior: Journal of Great Lakes Research, v. 51, no. 4, 102459, 21 p., https://doi.org/10.1016/j.jglr.2024.102459.","productDescription":"102459, 21 p.","ipdsId":"IP-167678","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":492884,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2024.102459","text":"Publisher Index Page"},{"id":492830,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota, Wisconsin","city":"Duluth, Superior","otherGeospatial":"Minnesota Point","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -92.11687484166973,\n 46.79169814336808\n ],\n [\n -92.11687484166973,\n 46.69589459379978\n ],\n [\n -92.00223407990056,\n 46.69589459379978\n ],\n [\n -92.00223407990056,\n 46.79169814336808\n ],\n [\n -92.11687484166973,\n 46.79169814336808\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"51","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-07-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Roland, Collin 0000-0003-1004-0746","orcid":"https://orcid.org/0000-0003-1004-0746","contributorId":343660,"corporation":false,"usgs":true,"family":"Roland","given":"Collin","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":943839,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Groten, Joel T. 0000-0002-0441-8442 jgroten@usgs.gov","orcid":"https://orcid.org/0000-0002-0441-8442","contributorId":173464,"corporation":false,"usgs":true,"family":"Groten","given":"Joel","email":"jgroten@usgs.gov","middleInitial":"T.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":943840,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lund, J. William 0000-0002-8830-4468","orcid":"https://orcid.org/0000-0002-8830-4468","contributorId":289132,"corporation":false,"usgs":true,"family":"Lund","given":"J. William","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":943841,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hanson, Jenny L. 0000-0001-8353-6908 jhanson@usgs.gov","orcid":"https://orcid.org/0000-0001-8353-6908","contributorId":461,"corporation":false,"usgs":true,"family":"Hanson","given":"Jenny","email":"jhanson@usgs.gov","middleInitial":"L.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":943842,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70269959,"text":"70269959 - 2025 - Evaluating large wood additions as a scalable method of urban stream restoration","interactions":[],"lastModifiedDate":"2025-11-20T16:47:10.943884","indexId":"70269959","displayToPublicDate":"2025-07-22T09:35:17","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating large wood additions as a scalable method of urban stream restoration","docAbstract":"Urbanization is associated with increased erosion and habitat homogenization in stream ecosystems. This habitat degradation often has biological consequences, such as decreased species richness. Conventional stream restoration practices are costly, and projects are limited to small areas with easy access. A scalable, low-cost method of stream restoration is needed to address the widespread degradation occurring in urban streams. Large wood (LW) is an important element in stream ecosystems that is typically abundant in forested watersheds but scarce in urban streams. LW can reduce water velocities, generate pool habitat, decrease erosion, and provide cover for aquatic organisms. In this study, we performed experimental LW installations to assess the capacity of LW restoration to improve habitat and reduce sediment transport in an urban headwater stream in Cincinnati, Ohio. We tracked the geomorphic effects of these installations using a before-after-control-impact study design in four 60-m reaches, two treatment and two control, over a 1.5-year period to investigate the following questions: (1) Will unanchored LW additions remain stable in a flashy urban stream? (2) Will LW additions increase the availability of pool habitat? (3) Will wood additions increase bed stability and modify sediment size distributions? We found that LW installations rapidly increased pool habitat availability (size) around stable jams, but a majority of the LW jams were frequently mobilized and reconfigured by high-flow events. LW additions had no significant impact on the probability of stream bed mobilization, likely due to the instability of LW; however, the distance particles traveled once mobilized significantly decreased. While LW additions can increase the availability of pool habitat in urban headwater streams, further investigation is needed to understand the stability of such structures and the environmental context where these additions will be most beneficial.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.70007","usgsCitation":"Grap, P., Matter, S., Lehmann, A., Ward, D., and Booth, M., 2025, Evaluating large wood additions as a scalable method of urban stream restoration: River Research and Applications, v. 41, no. 9, p. 2032-2051, https://doi.org/10.1002/rra.70007.","productDescription":"20 p.","startPage":"2032","endPage":"2051","ipdsId":"IP-175806","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":493707,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Ohio","county":"Hamilton County","otherGeospatial":"Cooper Creek, Mill Creek","volume":"41","issue":"9","noUsgsAuthors":false,"publicationDate":"2025-07-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Grap, Peter","contributorId":357014,"corporation":false,"usgs":false,"family":"Grap","given":"Peter","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":945054,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Matter, Stephen F.","contributorId":359214,"corporation":false,"usgs":false,"family":"Matter","given":"Stephen F.","affiliations":[{"id":7159,"text":"University of Cincinnati","active":true,"usgs":false}],"preferred":false,"id":945055,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lehmann, Adam","contributorId":357020,"corporation":false,"usgs":false,"family":"Lehmann","given":"Adam","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":945056,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ward, Dylan","contributorId":265490,"corporation":false,"usgs":false,"family":"Ward","given":"Dylan","affiliations":[{"id":7159,"text":"University of Cincinnati","active":true,"usgs":false}],"preferred":false,"id":945057,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Booth, Michael Thomas 0000-0002-9842-085X","orcid":"https://orcid.org/0000-0002-9842-085X","contributorId":357011,"corporation":false,"usgs":true,"family":"Booth","given":"Michael Thomas","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":945058,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70269761,"text":"70269761 - 2025 - Blowing in the wind: Anemochory in blackbrush habitat of South Texas","interactions":[],"lastModifiedDate":"2025-11-20T16:43:14.129544","indexId":"70269761","displayToPublicDate":"2025-07-22T09:30:29","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3086,"text":"Plant Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Blowing in the wind: Anemochory in blackbrush habitat of South Texas","docAbstract":"Wind dispersal has the potential to carry seeds long-distances and could inform the management and restoration of natural vegetation along the U.S.-Mexico Border. Plant species with the potential to disperse seeds in arid landscapes fragmented by border barrier infrastructure include foundational native, invasive, and federally endangered plant species. Wind dispersal traps constructed of cloth were set facing into the prevailing wind direction (SE) to characterize the role of wind in transporting soil particles, pebbles, plant debris, and seeds in blackbrush habitat during maximum events of wind speed (km per hour), and precipitation (cm). Shrubs, native grasses, the invasive Pennisetum ciliare (buffelgrass), soil particles, and pebbles dispersed in the wind, especially during maximum wind and/or precipitation events. Natural blackbrush areas supported the wind dispersal of twelve native species including grasses and woody shrubs. Sites disturbed by border infrastructure (barrier, roads, waterways) had higher seed numbers of invasive species such as P. ciliare captured in the wind traps. While modifications in passages through waterways and other structures have been proposed to improve the movement of organisms influenced by the barrier, the restoration of native plant species in damaged areas might further aid in the maintenance of blackbrush ecosystems by reducing invasive plant species dispersal into natural habitats.
","language":"English","publisher":"Springer","doi":"10.1007/s11258-025-01527-9","usgsCitation":"Middleton, B., and Lain, E., 2025, Blowing in the wind: Anemochory in blackbrush habitat of South Texas: Plant Ecology, v. 226, p. 1057-1064, https://doi.org/10.1007/s11258-025-01527-9.","productDescription":"8 p.","startPage":"1057","endPage":"1064","ipdsId":"IP-167847","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":493240,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Arroyo Morteros, Arroyo Ramirez, Cuellar tract, Lower Rio Grande Valley National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -99.86537923681847,\n 27.90301608157847\n ],\n [\n -99.19865426109092,\n 26.168012208444026\n ],\n [\n -97.2958075042999,\n 25.753100816726878\n ],\n [\n -97.08690291521907,\n 25.9785258529746\n ],\n [\n -98.88941956966367,\n 26.540145638316744\n ],\n [\n -99.47996857108726,\n 27.671219788235106\n ],\n [\n -99.86537923681847,\n 27.90301608157847\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"226","noUsgsAuthors":false,"publicationDate":"2025-07-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Middleton, Beth 0000-0002-1220-2326","orcid":"https://orcid.org/0000-0002-1220-2326","contributorId":206684,"corporation":false,"usgs":true,"family":"Middleton","given":"Beth","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":944575,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lain, Emily J.","contributorId":358948,"corporation":false,"usgs":false,"family":"Lain","given":"Emily J.","affiliations":[{"id":83764,"text":"Cherokee Nation System Solutions, contracted to the U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":944576,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70269581,"text":"70269581 - 2025 - Female and male grizzly bears differ in their responses to low-intensity recreation in a protected area","interactions":[],"lastModifiedDate":"2025-09-09T14:45:30.640888","indexId":"70269581","displayToPublicDate":"2025-07-22T08:59:45","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Female and male grizzly bears differ in their responses to low-intensity recreation in a protected area","docAbstract":"Strategies animals use to navigate human-dominated landscapes frequently mimic anti-predator responses employed by prey species. Understanding how large carnivores respond to outdoor recreation is important for conservation, particularly in protected areas with preservation mandates. Visitation to Yellowstone National Park doubled from 1980 to 2015, increasing the need to examine potential changes in behavior of grizzly bears (Ursus arctos) in relation to human recreation sites (trails, backcountry campsites). We developed integrated step-selection functions to explore how recreation sites influenced the movement rate and selection by male and female grizzly bears. Further, we tested whether time of day (diurnal, crepuscular, nocturnal) and restrictions to human access (i.e., restricted, unrestricted) modified bear responses and then compared behaviors based on proximity to recreation sites. Male grizzly bears used trails to travel during crepuscular and nocturnal hours and exhibited more pronounced behavior in restricted areas compared with unrestricted areas, suggesting recreation in unrestricted areas influenced the behavior of male bears. In contrast, female bears varied their movement rate and selection of trails in restricted areas much more than in unrestricted areas, suggesting females may make security tradeoffs between male bears and people. Both sexes used trails, likely as energetically efficient travel corridors; however, our analyses did not indicate that bears spent time near backcountry campsites. The sex-based differences in selection and movement patterns associated with trails and campsites suggest a single management approach for recreation may not equally benefit all bears. Recreation impacts on wildlife are complex to characterize and predict, but simultaneously modeling movement and selection provides a more comprehensive assessment of strategies animals use to navigate perceived risk.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.70068","usgsCitation":"Loggers, E., Litt, A.R., Haroldson, M., Gunther, K.A., and van Manen, F.T., 2025, Female and male grizzly bears differ in their responses to low-intensity recreation in a protected area: Journal of Wildlife Management, v. 89, no. 7, e70068, 24 p., https://doi.org/10.1002/jwmg.70068.","productDescription":"e70068, 24 p.","ipdsId":"IP-174424","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":493317,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.70068","text":"Publisher Index Page"},{"id":492993,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.05465697234523,\n 45.04848474160275\n ],\n [\n -111.05465697234523,\n 44.132997929608706\n ],\n [\n -110.00606720612153,\n 44.132997929608706\n ],\n [\n -110.00606720612153,\n 45.04848474160275\n ],\n [\n -111.05465697234523,\n 45.04848474160275\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"89","issue":"7","noUsgsAuthors":false,"publicationDate":"2025-07-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Loggers, Elise","contributorId":331713,"corporation":false,"usgs":false,"family":"Loggers","given":"Elise","email":"","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":944101,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Litt, Andrea R.","contributorId":208358,"corporation":false,"usgs":false,"family":"Litt","given":"Andrea","email":"","middleInitial":"R.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":944102,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haroldson, Mark 0000-0002-7457-7676","orcid":"https://orcid.org/0000-0002-7457-7676","contributorId":316737,"corporation":false,"usgs":true,"family":"Haroldson","given":"Mark","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":944103,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gunther, Kerry A.","contributorId":84621,"corporation":false,"usgs":false,"family":"Gunther","given":"Kerry","email":"","middleInitial":"A.","affiliations":[{"id":5118,"text":"Yellowstone National Park, Yellowstone Center for Resources, Bear Management Office, P.O. Box 168, Yellowstone National Park, WY 82190","active":true,"usgs":false}],"preferred":false,"id":944104,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"van Manen, Frank T. 0000-0001-5340-8489 fvanmanen@usgs.gov","orcid":"https://orcid.org/0000-0001-5340-8489","contributorId":2267,"corporation":false,"usgs":true,"family":"van Manen","given":"Frank","email":"fvanmanen@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":944105,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70274005,"text":"70274005 - 2025 - Using integrated step-selection analyses to map high-risk electrocution areas for a highly mobile species","interactions":[],"lastModifiedDate":"2026-02-20T16:11:51.850785","indexId":"70274005","displayToPublicDate":"2025-07-21T10:05:49","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Using integrated step-selection analyses to map high-risk electrocution areas for a highly mobile species","docAbstract":"Knowledge of animal-movement patterns is a crucial component in identifying areas with high potential for human–wildlife conflict and in prioritizing associated management actions. Electrical energy infrastructure is a major source of mortality for animals worldwide, with millions of birds colliding with or being electrocuted by power lines and power-pole infrastructure each year. Movement, habitat use, and the spatial distribution of electrocution risk can vary with age, but studies of younger age classes are often hampered because these groups are difficult to observe and lack well-defined home ranges. To identify movement patterns and high-use areas of bald eagles in Arizona, USA, we analyzed global positioning system (GPS) telemetry data collected from 13 immature bald eagles (Haliaeetus leucocephalus) across Arizona between 2017 and 2023. We built multi-scale, integrated step-selection functions that evaluated eagle responses to a suite of environmental covariates. We then used these models to simulate eagle movement and predict habitat use within and surrounding Maricopa County, which contains both the Phoenix Metropolitan Area and the plurality of bald eagle breeding areas in Arizona. We provide a use case for how these simulated movements could be used by resource managers to identify high-risk areas for electrocution. Eagles avoided urban areas and selected steeper slopes, more pronounced ridges, and areas with greater water and wetland land cover. Predicted habitat use by bald eagles was greatest near waterbodies and along ridges and steep slopes, and indicated where power infrastructure may pose greater electrocution risk. We show how integrated step-selection analyses and movement path simulation may be used for subadult animals lacking stable home ranges to predict high-use areas and identify locations with greater potential for negative human–wildlife interactions.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.70061","usgsCitation":"Cappello, C. ., Jacobson, K.V., Driscoll, J.T., McCarty, K.M., Bauder, J.M., 2025, Using integrated step-selection analyses to map high-risk electrocution areas for a highly mobile species: Journal of Wildlife Management, v. 89, no. 7, e70061, 19 p., https://doi.org/10.1002/jwmg.70061.","productDescription":"e70061, 19 p.","ipdsId":"IP-178672","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500346,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -113.5,\n 34.1\n ],\n [\n -113.5,\n 32.5\n ],\n [\n -111,\n 32.5\n ],\n [\n -111,\n 34.1\n ],\n [\n -113.5,\n 34.1\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"89","issue":"7","noUsgsAuthors":false,"publicationDate":"2025-07-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Cappello, Caroline D.","contributorId":366625,"corporation":false,"usgs":false,"family":"Cappello","given":"Caroline","middleInitial":" D.","affiliations":[{"id":81133,"text":"Arizona Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":956103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jacobson, Kenneth V.","contributorId":366626,"corporation":false,"usgs":false,"family":"Jacobson","given":"Kenneth","middleInitial":"V.","affiliations":[{"id":12922,"text":"Arizona Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":956104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Driscoll, James T.","contributorId":366627,"corporation":false,"usgs":false,"family":"Driscoll","given":"James","middleInitial":"T.","affiliations":[{"id":12922,"text":"Arizona Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":956105,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCarty, Kyle M.","contributorId":366629,"corporation":false,"usgs":false,"family":"McCarty","given":"Kyle","middleInitial":"M.","affiliations":[{"id":12922,"text":"Arizona Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":956106,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bauder, Javan Mathias 0000-0002-2055-5324","orcid":"https://orcid.org/0000-0002-2055-5324","contributorId":337814,"corporation":false,"usgs":true,"family":"Bauder","given":"Javan","email":"","middleInitial":"Mathias","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":956107,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273993,"text":"70273993 - 2025 - Shared leadership can promote success in collaborative research networks in ecology","interactions":[],"lastModifiedDate":"2026-02-24T14:55:18.949074","indexId":"70273993","displayToPublicDate":"2025-07-21T09:03:09","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1711,"text":"Functional Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Shared leadership can promote success in collaborative research networks in ecology","docAbstract":"1. While collaborative science is becoming the norm in ecology, many ecologists participating in collaborations are less aware of the body of research that studies the processes by which collaborative teams organize and communicate.
2. Here, we discuss how we successfully used a shared leadership model in the Dry Rivers Research Coordination Network. We discuss how this model promote dour success in different stages of the project, using the Tuckman model of team development: forming, storming, norming, performing and adjourning.
3. Shared leadership in the forming phase helped us recruit a diverse membership from different scientific disciplines. In the storming and norming phases, shared leadership was especially useful in ensuring that all voices were heard in establishing group norms that promoted adhesion among and investment by RCN members. Shared leadership in the performing phase was crucial in providing opportunities for early career members to lead projects, and in the adjourning phase we reflected upon our entire collaboration to identify that shared leadership was crucial to our success, generating the thesis for this commentary.
4. It is our hope that others may find this discussion of our experience in implementing a shared leadership model useful in developing their own fruitful collaborations.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2435.70109","usgsCitation":"Allen, D.C., Burgin, A.J., Seybold, E.C., Dodds, W.K., Busch, M.H., Bergstrom, A., Krabbenhoft, C.A., Boersma, K.S., Stegen, J.C., Olden, J.D., Atkinson, C.L., Jones, C.N., Datry, T., Godsey, S.E., Shogren, A.J., Walters, A.W., Plont, S., Walker, R.H., Shanafield, M., Mims, M.C., Price, A.N., Smith, C.R., You, Y., Bogan, M.T., Burrows, R.M., Messager, M.L., Stubbington, R., Zimmer, M.A., 2025, Shared leadership can promote success in collaborative research networks in ecology: Functional Ecology, 9 p., https://doi.org/10.1111/1365-2435.70109.","productDescription":"9 p.","ipdsId":"IP-176946","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500600,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2435.70109","text":"Publisher Index Page"},{"id":500414,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Online First","noUsgsAuthors":false,"publicationDate":"2025-07-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Allen, Daniel C. 0000-0002-0451-0564","orcid":"https://orcid.org/0000-0002-0451-0564","contributorId":225169,"corporation":false,"usgs":false,"family":"Allen","given":"Daniel","middleInitial":"C.","affiliations":[{"id":41064,"text":"Department of Biology, University of Oklahoma, Norman OK, 73019","active":true,"usgs":false}],"preferred":false,"id":956032,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burgin, Amy J.","contributorId":366528,"corporation":false,"usgs":false,"family":"Burgin","given":"Amy","middleInitial":"J.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":956033,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Seybold, Erin C.","contributorId":366529,"corporation":false,"usgs":false,"family":"Seybold","given":"Erin","middleInitial":"C.","affiliations":[{"id":6773,"text":"University of Kansas","active":true,"usgs":false}],"preferred":false,"id":956034,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dodds, Walter K.","contributorId":366531,"corporation":false,"usgs":false,"family":"Dodds","given":"Walter","middleInitial":"K.","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":956035,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Busch, Michelle H.","contributorId":366533,"corporation":false,"usgs":false,"family":"Busch","given":"Michelle","middleInitial":"H.","affiliations":[{"id":6773,"text":"University of Kansas","active":true,"usgs":false}],"preferred":false,"id":956036,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bergstrom, Anna 0000-0002-9684-4018","orcid":"https://orcid.org/0000-0002-9684-4018","contributorId":289664,"corporation":false,"usgs":false,"family":"Bergstrom","given":"Anna","email":"","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":956037,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Krabbenhoft, Corey A.","contributorId":366536,"corporation":false,"usgs":false,"family":"Krabbenhoft","given":"Corey","middleInitial":"A.","affiliations":[{"id":37334,"text":"University at Buffalo","active":true,"usgs":false}],"preferred":false,"id":956038,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Boersma, Kate S.","contributorId":366537,"corporation":false,"usgs":false,"family":"Boersma","given":"Kate","middleInitial":"S.","affiliations":[{"id":34010,"text":"University of San Diego","active":true,"usgs":false}],"preferred":false,"id":956039,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stegen, James C.","contributorId":366539,"corporation":false,"usgs":false,"family":"Stegen","given":"James","middleInitial":"C.","affiliations":[{"id":38914,"text":"Pacific Northwest National Laboratory","active":true,"usgs":false}],"preferred":false,"id":956040,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Olden, Julian D.","contributorId":366541,"corporation":false,"usgs":false,"family":"Olden","given":"Julian","middleInitial":"D.","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":956041,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Atkinson, Carla L.","contributorId":366543,"corporation":false,"usgs":false,"family":"Atkinson","given":"Carla","middleInitial":"L.","affiliations":[{"id":36730,"text":"University of Alabama","active":true,"usgs":false}],"preferred":false,"id":956042,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Jones, C. 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USA","interactions":[],"lastModifiedDate":"2025-07-28T14:17:21.049353","indexId":"70269620","displayToPublicDate":"2025-07-20T09:10:13","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic variability and groundwater age of springs in eastern Oregon and northern Nevada, USA","docAbstract":"The ecological importance of springs in semiarid regions is far greater than their small size and sparse distribution, yet little is known about the hydrologic functioning of these systems. During 2016–22, 261 springs were visited in the volcanic terrane of eastern Oregon and northern Nevada. When conditions were suitable, measurements of discharge, water temperature, and specific conductance were made, and samples for the analysis of carbon-14, tritium, and water stable isotopes (WSI) were collected. A subset of 60 springs was revisited during different seasons in the same year and during the dry season in multiple years to evaluate variability in discharge, chemistry, and groundwater age. Specific conductance and WSI varied considerably among springs across the study area but were unexpectedly stable across seasons and years at individual springs. Seasonal and interannual variability in spring discharge was related to the residence time of the discharging groundwater. Springs discharging older groundwater (103–104 years) had significantly less variability in their discharge compared to springs discharging younger groundwater (100–101 years). Variability among springs discharging younger groundwater included cessation of late-summer discharge at 18 % of the repeat-visit springs. A logistic regression model predicted the age of discharging spring water with 89 % accuracy using only the spring latitude, longitude, elevation, and δ2H value. This study framework provides a simple, inexpensive, and robust method to provisionally assess the hydrologic behavior of springs having little or no prior information in understudied, semiarid regions across the globe.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2025.133922","usgsCitation":"Johnson, H.M., 2025, Hydrologic variability and groundwater age of springs in eastern Oregon and northern Nevada, USA: Journal of Hydrology, v. 662, no. Part A, 133922, 13 p., https://doi.org/10.1016/j.jhydrol.2025.133922.","productDescription":"133922, 13 p.","ipdsId":"IP-123085","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":493312,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2025.133922","text":"Publisher Index Page"},{"id":492994,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada, Oregon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.31311680484953,\n 41.99539074875983\n ],\n [\n -120.0068581722988,\n 41.99391273807197\n ],\n [\n -119.90145747408332,\n 41.992434693061426\n ],\n [\n -119.84179670150823,\n 41.66048803137227\n ],\n [\n -118.9246520186846,\n 41.65959449142923\n ],\n [\n -118.93301194332504,\n 41.98445357532694\n ],\n [\n -117.02491929749873,\n 42.016929659002585\n ],\n [\n -117.01355889504242,\n 43.86708893750037\n ],\n [\n -116.91131527293696,\n 44.17343283492443\n ],\n [\n -117.20668573679785,\n 44.30365776197061\n ],\n [\n -117.26349474591721,\n 44.58751884415352\n ],\n [\n -117.18671855238352,\n 44.79442609102742\n ],\n [\n -117.77146876695777,\n 44.926186190521406\n ],\n [\n -117.91090405154984,\n 44.91839177439985\n ],\n [\n -117.97144831985975,\n 44.63186629043838\n ],\n [\n -118.6664325411721,\n 44.37656025661704\n ],\n [\n -119.868869617017,\n 44.396170474914186\n ],\n [\n -121.12677954373844,\n 44.318586844969104\n ],\n [\n -121.51042244069035,\n 42.944368334976076\n ],\n [\n -121.28368996303429,\n 42.40400912273424\n ],\n [\n -120.73802661060382,\n 42.42707264631977\n ],\n [\n -120.26821317970226,\n 41.99741467441126\n ],\n [\n -120.31311680484953,\n 41.99539074875983\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"662","issue":"Part A","noUsgsAuthors":false,"publicationDate":"2025-07-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Henry M. 0000-0002-7571-4994 hjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7571-4994","contributorId":869,"corporation":false,"usgs":true,"family":"Johnson","given":"Henry","email":"hjohnson@usgs.gov","middleInitial":"M.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":944189,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70269455,"text":"70269455 - 2025 - A streamflow permanence classification model for forested streams that explicitly accounts for uncertainty and extrapolation","interactions":[],"lastModifiedDate":"2025-07-23T14:18:18.596644","indexId":"70269455","displayToPublicDate":"2025-07-19T09:12:39","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"A streamflow permanence classification model for forested streams that explicitly accounts for uncertainty and extrapolation","docAbstract":"Accurate mapping of headwater streams and their flow status has important implications for understanding and managing water resources and land uses. However, accurate information is rare, especially in rugged, forested terrain. We developed a streamflow permanence classification model for forested lands in western Oregon using the latest light detection and ranging-derived hydrography published in the National Hydrography Dataset. Models were trained using 2,518 flow/no flow field observations collected in late summer 2019–2021 across headwaters of 129 sub-watersheds. The final model, the Western Oregon WeT DRy model, used Random Forest and 13 environmental covariates for classifying every 5-m stream sub-reach across 426 sub-watersheds. The most important covariates were annual precipitation and drainage area. Model output included probabilities of late summer surface flow presence and were subsequently categorized into three streamflow permanence classes—Wet, Dry, and Ambiguous. Ambiguous denoted model probabilities and associated prediction intervals that extended over the 50% classification threshold between wet and dry. Model accuracy was 0.83 for sub-watersheds that contained training data and decreased to 0.67 for sub-watersheds that did not have observations of late summer surface flow. The model identified where predictions extrapolated beyond the domain characterized by the training data. The combination of spatially continuous estimates of late summer streamflow status along with uncertainty and extrapolation estimates provide critical information for strategic project planning and designing additional field data collection.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025WR040478","usgsCitation":"Burnett, J., Jaeger, K.L., Johnson, S.L., Wondzell, S., Dunham, J., Barker, M., Heaston, E.D., Chelgren, N., Wing, M., Staab, B., and Brown, M., 2025, A streamflow permanence classification model for forested streams that explicitly accounts for uncertainty and extrapolation: Water Resources Research, v. 61, no. 7, e2025WR040478, 29 p., https://doi.org/10.1029/2025WR040478.","productDescription":"e2025WR040478, 29 p.","ipdsId":"IP-166720","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":496356,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025wr040478","text":"Publisher Index 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Center","active":false,"usgs":true}],"preferred":true,"id":943799,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Barker, Matthew Irwin 0000-0002-5286-4930","orcid":"https://orcid.org/0000-0002-5286-4930","contributorId":358465,"corporation":false,"usgs":true,"family":"Barker","given":"Matthew Irwin","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":943800,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Heaston, Emily Dawn 0000-0002-3949-391X","orcid":"https://orcid.org/0000-0002-3949-391X","contributorId":290618,"corporation":false,"usgs":true,"family":"Heaston","given":"Emily","email":"","middleInitial":"Dawn","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":943801,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chelgren, Nathan 0000-0003-0944-9165 nchelgren@usgs.gov","orcid":"https://orcid.org/0000-0003-0944-9165","contributorId":3134,"corporation":false,"usgs":true,"family":"Chelgren","given":"Nathan","email":"nchelgren@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":943802,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wing, Michael G.","contributorId":358467,"corporation":false,"usgs":false,"family":"Wing","given":"Michael G.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":943803,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Staab, Brian","contributorId":358469,"corporation":false,"usgs":false,"family":"Staab","given":"Brian","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":943804,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Brown, Michael E.","contributorId":358471,"corporation":false,"usgs":false,"family":"Brown","given":"Michael E.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":943805,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70268790,"text":"sir20255054 - 2025 - Hydrogeologic framework and conceptual model of the Red River alluvial aquifer east of Lake Texoma, southeastern Oklahoma, 1980–2022","interactions":[],"lastModifiedDate":"2026-02-03T14:29:12.653472","indexId":"sir20255054","displayToPublicDate":"2025-07-18T13:39:29","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5054","displayTitle":"Hydrogeologic Framework and Conceptual Model of the Red River Alluvial Aquifer East of Lake Texoma, Southeastern Oklahoma, 1980–2022","title":"Hydrogeologic framework and conceptual model of the Red River alluvial aquifer east of Lake Texoma, southeastern Oklahoma, 1980–2022","docAbstract":"The 1973 Oklahoma Groundwater Law (Oklahoma Statutes §82-1020.5) requires that the Oklahoma Water Resources Board conduct hydrologic investigations of the State’s groundwater basins to support a determination of the maximum annual yield for each groundwater basin. At present (2025), the Oklahoma Water Resources Board has not established a maximum annual yield for the Red River alluvial aquifer east of Lake Texoma. To support the evaluation and determination of a maximum annual yield, a hydrogeologic framework and conceptual groundwater-flow model were developed to assess groundwater availability in the Red River alluvial aquifer east of Lake Texoma.
The scope of this hydrologic investigation is the alluvium and terrace containing the Red River alluvial aquifer in Oklahoma between Lake Texoma, the Texas State line, and the Arkansas State line, an extent referred to in this report as “the eastern part of the Red River alluvial aquifer.” Parts of the alluvium and terrace extent in Arkansas and Texas are included in some analyses to address hydrologic influences from outside the aquifer’s boundaries in Oklahoma.
The eastern part of the Red River alluvial aquifer in southeastern Oklahoma consists of approximately 401,280 acres of Quaternary alluvium and terrace deposits associated with the Red River and its major tributaries. Mean annual recharge to the aquifer for the 1980–2022 study period was estimated to be 8.62 inches per year, or 17.98 percent of the mean annual precipitation over the same period (47.94 inches). This mean annual recharge rate is equivalent to an inflow of approximately 288,250 acre-feet per year for the eastern part of the Red River alluvial aquifer. Recharge estimated using the Soil-Water-Balance code accounts for 98.7 percent of the conceptual-model inflows to the eastern part of the Red River alluvial aquifer. Saturated-zone evapotranspiration accounts for 11.9 percent and net streambed seepage accounts for 87.4 percent of the outflows in the conceptual model.
Director, Oklahoma-Texas Water Science Center
U.S. Geological Survey
1505 Ferguson Lane
Austin, TX 78754–4501
Contact Us- USGS Publications Warehouse
","tableOfContents":"