Invasive grass carp Ctenopharyngodon idella spawning was confirmed in Lake Erie with the collection of fertilized eggs in the Sandusky River, Ohio in 2015. Managers responded with initiation of adult grass carp removal in 2017. Hydrodynamic modeling revealed a potential spawning location in downtown Fremont, Ohio (41.3455; −83.1110), which was supported by the presence of sexually mature adults. Egg detection and adult removals appear to coincide with periods of elevated discharge and suitable water temperatures. Electrofishing is the primary method for removing adults during spawning, however, it is unknown if this has indirect effects such as disruption of grass carp spawning; thereby lowering egg presence in ichthyoplankton samples. We used a binomial generalized linear model to predict the probability of grass carp egg presence (≥ 1 egg) in a paired ichthyoplankton net based on the presence of electrofishing in the spawning grounds and net depth using 2017–2022 data. Further, we carried out a field experiment to isolate the effect of electrofishing by sampling eggs at two sites before and during electrofishing in the spawning grounds in 2022. Analysis of 2017–2022 egg and electrofishing data suggested that grass carp egg presence in a paired ichthyoplankton net was significantly higher without electrofishing and in nets towed at a depth of 1.5 m compared to surfacetowed nets. Data analysis from the field experiment revealed a significant negative relationship between electrofishing in the spawning grounds and grass carp egg collections downstream. Both analyses suggested lower egg capture rates associated with electrofishing in the spawning grounds, although other factors should be further quantified. Consequently, electrofishing may cause a short-term disruption in grass carp spawning in the Sandusky River and could reduce spawning during preferred conditions.
","language":"English","publisher":"REABIC","doi":"10.3391/mbi.2024.15.4.04","usgsCitation":"Brown, R.E., Mayer, C.M., Hilling, C.D., Qian, S.S., and Roberts, J., 2024, Electrofishing Sandusky River grass carp spawning grounds may disrupt spawning: Management of Biological Invasions, v. 15, no. 4, p. 519-534, https://doi.org/10.3391/mbi.2024.15.4.04.","productDescription":"16 p.","startPage":"519","endPage":"534","ipdsId":"IP-156587","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":465192,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":466736,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2024.15.4.04","text":"Publisher Index Page"}],"country":"United States","state":"Ohio","otherGeospatial":"Sandusky River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.93447333670532,\n 41.49521244589849\n ],\n [\n -83.28924808879796,\n 41.49521244589849\n ],\n [\n -83.28924808879796,\n 41.12794688604012\n ],\n [\n -82.93447333670532,\n 41.12794688604012\n ],\n [\n -82.93447333670532,\n 41.49521244589849\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Brown, Ryan E.","contributorId":332137,"corporation":false,"usgs":false,"family":"Brown","given":"Ryan","email":"","middleInitial":"E.","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":921180,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mayer, Christine M.","contributorId":203271,"corporation":false,"usgs":false,"family":"Mayer","given":"Christine","email":"","middleInitial":"M.","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":921181,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hilling, Corbin David 0000-0003-4040-9516","orcid":"https://orcid.org/0000-0003-4040-9516","contributorId":298946,"corporation":false,"usgs":true,"family":"Hilling","given":"Corbin","email":"","middleInitial":"David","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":921182,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Qian, Song S. 0000-0002-2346-4903","orcid":"https://orcid.org/0000-0002-2346-4903","contributorId":306033,"corporation":false,"usgs":false,"family":"Qian","given":"Song","email":"","middleInitial":"S.","affiliations":[{"id":62440,"text":"Department of Environmental Sciences, University of Toledo, Toledo, OH 43606","active":true,"usgs":false}],"preferred":false,"id":921183,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roberts, James 0000-0002-4193-610X jroberts@usgs.gov","orcid":"https://orcid.org/0000-0002-4193-610X","contributorId":5453,"corporation":false,"usgs":true,"family":"Roberts","given":"James","email":"jroberts@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":921184,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70270084,"text":"70270084 - 2024 - Simulated ground-motion records for the seismic assessment of monumental masonry structures","interactions":[],"lastModifiedDate":"2025-08-08T14:08:38.206985","indexId":"70270084","displayToPublicDate":"2024-12-01T09:02:30","publicationYear":"2024","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Simulated ground-motion records for the seismic assessment of monumental masonry structures","docAbstract":"Earthquakes are natural disasters that can cause widespread devastation and loss of life. Simulated ground-motion records can be useful in regions with limited seismic stations or a history of damaging but infrequent earthquakes. This is especially true in areas with a high concentration of heritage masonry structures, which are especially susceptible to damage, as simulated records can be crucial in predicting their seismic response and protecting these buildings from seismic damage. Despite the importance of simulated earthquakes, few studies have investigated how effective they are compared to real earthquakes when assessing the structural response of heritage buildings. To address this knowledge gap, we employ two different simulation methods of the Mw 6.2 Faial earthquake, which occurred on July 9th, 1998, in the Azores, to replicate the recorded time-series at four available stations within an epicentral distance of 150 km. The study has two objectives: first, to validate the simulated records of the 1998 Faial earthquake using alternative stochastic ground-motion simulation approaches, and second, to determine how these approaches impact the seismic assessment of historic masonry structures. To accomplish these objectives, this study uses real and simulated ground-motion datasets to conduct non-linear response history analyses of the São Francisco Church, a monumental structure in Horta that sustained damage during the Faial earthquake. The results show that both simulation approaches yield structural responses similar to the observed records.","conferenceTitle":"18th World Conference on Earthquake Engineering (WCEE2024)","conferenceDate":"June 30-Jul 5, 2024","conferenceLocation":"Milan, Ilaty","language":"English","publisher":"International Association for Earthquake Engineering","usgsCitation":"Karimzadeh, S., Funari, M., Szabó, S., Hussaini, S., Rezaeian, S., and Lourenço, P., 2024, Simulated ground-motion records for the seismic assessment of monumental masonry structures, 18th World Conference on Earthquake Engineering (WCEE2024), Milan, Ilaty, June 30-Jul 5, 2024, 12 p.","productDescription":"12 p.","ipdsId":"IP-162245","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":493831,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":493830,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://proceedings-wcee.org/view.html?id=23196&conference=18WCEE","linkFileType":{"id":5,"text":"html"}}],"otherGeospatial":"Azores plateau","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -32.084273935659894,\n 40.58777944991158\n ],\n [\n -32.084273935659894,\n 36.32627377425197\n ],\n [\n -22.535089721297254,\n 36.32627377425197\n ],\n [\n -22.535089721297254,\n 40.58777944991158\n ],\n [\n -32.084273935659894,\n 40.58777944991158\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2024-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Karimzadeh, Shaghayegh","contributorId":359419,"corporation":false,"usgs":false,"family":"Karimzadeh","given":"Shaghayegh","affiliations":[{"id":85799,"text":"University of Minho, Portugal","active":true,"usgs":false}],"preferred":false,"id":945361,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Funari, Marco F.","contributorId":359424,"corporation":false,"usgs":false,"family":"Funari","given":"Marco F.","affiliations":[{"id":85802,"text":"School of Sustainability, Civil and Environmental Engineering, University of Surrey, Guildford, UK.","active":true,"usgs":false}],"preferred":false,"id":945362,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Szabó, Simon","contributorId":359425,"corporation":false,"usgs":false,"family":"Szabó","given":"Simon","affiliations":[{"id":85803,"text":"Department of Civil Engineering, University of Minho, Institute for Sustainability and Innovation in Structural Engineering, ARISE, Guimarães, Portugal","active":true,"usgs":false}],"preferred":false,"id":945363,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hussaini, S. 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Since recorded accelerograms can be sparse for specific analysis conditions, stochastic ground motion simulations have become a viable alternative to overcome this limitation. This study simulates the recorded acceleration time series of the Central Italy 2016 earthquake event at the closest station to the town of Macerata using a site-based stochastic approach. The simulated motions are seismologically evaluated using a goodness-of-fit method in terms of various intensity measures. The simulated records, in conjunction with real records, are used to study the non-linear dynamic behavior of San Filippo Neri church located in Macerata. The church of San Filippo represents an important example of Baroque religious architecture in central Italy, which was damaged and closed off to the public after the 2016 earthquake events. The construction was investigated with a vast diagnostic campaign which included on-site testing and dynamic identification tests. The collected data is used to calibrate the dynamic response of a three-dimensional finite element model of the church. The model is finally used to compare the non-linear seismic responses under real and simulated ground motions with the site recorded damage. The results of structural responses demonstrate a strong agreement between the real and simulated records, providing evidence to support the validation of the site-based stochastic simulation.
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Analyses herein evaluated trends in total biomass, abundance of dominant predator and forage species, non-native species composition, biodiversity and community structure. Data from this effort can be explored interactively online and are accessible for download. Annual survey data are added to these sources as data become available.","language":"English","publisher":"Great Lakes Fishery Commission","usgsCitation":"Dufour, M.R., Guzzo, F., Hilling, C.D., Keretz, K.R., Kraus, R., Oldham, R.C., Roberts, J., and Schmitt, J., 2024, Fisheries research and monitoring activities of the Lake Erie Biological Station, 2023: Annual Report, 13 p.","productDescription":"13 p.","ipdsId":"IP-162697","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":484976,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://glfc.org/publication-media-search.php","linkFileType":{"id":5,"text":"html"}},{"id":484904,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Erie","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n 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Many of these are aeolian- or fluvial-formed constructs that meet the morphologic criteria for dunes and ripples but are clearly lithified and part of the rock record. This study conducted a survey of Mars using data returned from the High Resolution Imaging Science Experiment (HiRISE) to characterize the spatial distribution, origin, and geologic context of these preserved ancient bedforms, termed here as paleo-bedforms. The most compelling class include organized groups of 2–80-m-tall, crescentic to transverse features spaced at 100–1000 m wavelengths at Apollinaris Sulci, Valles Marineris, and other low-latitude sites. These morphologies along with superposed craters, boulders, and fractures led to the interpretation that these are highly lithified, friable, and partially eroded ancient aeolian dunes. In addition to lithified dunes, other remnants of ancient bedforms include examples in which the dune was completely removed, leaving a shallow depression in a crescentic outline as dune cast pits. The most widespread occurrences of paleo-bedforms show crest-to-crest wavelengths (10–80 m), heights (∼1–4 m), and morphologies consistent with lower-order bedforms of megaripples or transverse aeolian ridges. Paleo-megaripple fields in Arcadia Planitia, Hellas Planitia, Terra Sirenum, and other locations exhibit a progression of degraded morphologies, with crests showing signs of rounding, pitting, or fracturing, while heights and slopes are diminished due to erosion. Most rare are the paleo-bedforms in the fluvial bedform class at Lethe Vallis and Holden crater, as they occur along the path of proposed ancient flooding events. More enigmatic paleo-bedform candidates occur concentrated along the steep Valles Marineris and Noctis Labyrinthus wall slopes. These intermediate-sized, arcuate landforms that resemble transverse climbing dunes are heavily cratered, but they may align perpendicular or oblique to the local gradient, perhaps formed by wall slope winds and slope creep.
The bedforms are unlike most ancient terrestrial aeolian or fluvial bedform systems, which are typically preserved only as truncated members of stratigraphic sections. Episodes of burial and exhumation by various geologic units (e.g., the Medusae Fossae Formation, pyroclastic units, lava flows, dust) are notable, whereas other bedforms appear to have been stabilized and partially lithified in place without burial. Ongoing agents of mass wasting, aeolian abrasion, and cryo-driven processes have contributed to the exhumation, erosion, and weathered appearance of paleo-bedforms, and a spectrum of degradation states was observed. Collectively, we report a diverse variety of ancient sedimentary bedforms preserved across Mars, with implications about paleoclimates and landscape evolution on Mars.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2024.109428","usgsCitation":"Chojnacki, M., Fenton, L.K., Edgar, L.A., Day, M.D., Edwards, C., Weintraub, A., Gullikson, A.L., and Telfer, M., 2024, Global survey of paleo-bedforms on Mars: Geomorphology, v. 466, 109428, 31 p., https://doi.org/10.1016/j.geomorph.2024.109428.","productDescription":"109428, 31 p.","ipdsId":"IP-164035","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":487143,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geomorph.2024.109428","text":"Publisher Index Page"},{"id":482733,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"466","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Chojnacki, Matthew 0000-0001-8497-8994","orcid":"https://orcid.org/0000-0001-8497-8994","contributorId":296931,"corporation":false,"usgs":false,"family":"Chojnacki","given":"Matthew","email":"","affiliations":[{"id":64240,"text":"Planetary Science Institute, Lakewood, CO, USA","active":true,"usgs":false}],"preferred":false,"id":929315,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fenton, Lori K.","contributorId":208682,"corporation":false,"usgs":false,"family":"Fenton","given":"Lori","email":"","middleInitial":"K.","affiliations":[{"id":37319,"text":"SETI Institute","active":true,"usgs":false}],"preferred":false,"id":929316,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Edgar, Lauren A. 0000-0001-7512-7813 ledgar@usgs.gov","orcid":"https://orcid.org/0000-0001-7512-7813","contributorId":167501,"corporation":false,"usgs":true,"family":"Edgar","given":"Lauren","email":"ledgar@usgs.gov","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":929317,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Day, Mackenzie D.","contributorId":203790,"corporation":false,"usgs":false,"family":"Day","given":"Mackenzie","email":"","middleInitial":"D.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":929318,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Edwards, Christopher S.","contributorId":206168,"corporation":false,"usgs":false,"family":"Edwards","given":"Christopher S.","affiliations":[{"id":7202,"text":"NAU","active":true,"usgs":false}],"preferred":false,"id":929320,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Weintraub, Aaron R","contributorId":238778,"corporation":false,"usgs":false,"family":"Weintraub","given":"Aaron R","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":929319,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gullikson, Amber L. 0000-0002-1505-3151","orcid":"https://orcid.org/0000-0002-1505-3151","contributorId":208679,"corporation":false,"usgs":true,"family":"Gullikson","given":"Amber","email":"","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":929321,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Telfer, Matt","contributorId":351705,"corporation":false,"usgs":false,"family":"Telfer","given":"Matt","affiliations":[{"id":84036,"text":"SOGEES, University of Plymouth","active":true,"usgs":false}],"preferred":false,"id":929322,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70261233,"text":"70261233 - 2024 - From exploration to production: Understanding the development dynamics of lithium mining projects","interactions":[],"lastModifiedDate":"2024-12-03T15:58:19.187192","indexId":"70261233","displayToPublicDate":"2024-11-29T09:53:53","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3266,"text":"Resources Policy","active":true,"publicationSubtype":{"id":10}},"title":"From exploration to production: Understanding the development dynamics of lithium mining projects","docAbstract":"Recently, there has been considerable recent controversy whether current and new lithium mines will be able to supply the rapidly growing needs of the electromobility transition. Mineral exploration projects are typically active for many years, and only some become operational mines. From exploration to production, the projects go through several stages of characterisation and evaluation. At each stage, decisions are made by companies and stakeholders to advance, continue or stop the project. This is a complex process, and even projects with very similar geological and technical characteristics may take very different trajectories, depending on external factors such as global market conditions and local regulatory environments. The present study investigates the dynamics of this process for lithium exploration projects. A global database of 397 lithium projects was compiled, covering their progression through major development stages between 2004 and 2022. Ordinal logistic regression was used for the statistical analysis of this data. Different explanatory variables were tested, including economic, geological, technical, and geographic factors, to identify the best predictors for project progress at each development stage. The results suggest an essential role for lithium carbonate prices, and a variable role for other factors at each stage. Critically, the already elapsed lead time and project economics, which are traditionally considered important for the prediction of the start-up of individual mines, do not appear to be relevant in all cases. The results provide important insights into the dynamics of lithium supply and may eventually allow more realistic forecasts to be made for future lithium market dynamics.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.resourpol.2024.105423","usgsCitation":"Buarque, L., Frenzel, M., Bookhagen, B., Kresse, C., Schmidt, M., Nassar, N.T., Alonso, E., Shojaeddini, E., and Sandmann, D., 2024, From exploration to production: Understanding the development dynamics of lithium mining projects: Resources Policy, v. 99, 105423, 17 p., https://doi.org/10.1016/j.resourpol.2024.105423.","productDescription":"105423, 17 p.","ipdsId":"IP-167913","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":466739,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.resourpol.2024.105423","text":"Publisher Index Page"},{"id":466738,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.resourpol.2024.105423","text":"Publisher Index Page"},{"id":464703,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"99","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Buarque, Laura","contributorId":346844,"corporation":false,"usgs":false,"family":"Buarque","given":"Laura","email":"","affiliations":[{"id":82994,"text":"Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology","active":true,"usgs":false}],"preferred":false,"id":920007,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frenzel, Max","contributorId":346845,"corporation":false,"usgs":false,"family":"Frenzel","given":"Max","affiliations":[{"id":82994,"text":"Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology","active":true,"usgs":false}],"preferred":false,"id":920008,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bookhagen, Britta","contributorId":346846,"corporation":false,"usgs":false,"family":"Bookhagen","given":"Britta","email":"","affiliations":[{"id":82995,"text":"Deutsche Rohstoffagentur (DERA) in der Bundesanstalt für Geowissenschaften und Rohstoffe (BGR)","active":true,"usgs":false}],"preferred":false,"id":920009,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kresse, Carolin","contributorId":346847,"corporation":false,"usgs":false,"family":"Kresse","given":"Carolin","email":"","affiliations":[{"id":82995,"text":"Deutsche Rohstoffagentur (DERA) in der Bundesanstalt für Geowissenschaften und Rohstoffe (BGR)","active":true,"usgs":false}],"preferred":false,"id":920010,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schmidt, Michael","contributorId":346848,"corporation":false,"usgs":false,"family":"Schmidt","given":"Michael","email":"","affiliations":[{"id":82995,"text":"Deutsche Rohstoffagentur (DERA) in der Bundesanstalt für Geowissenschaften und Rohstoffe (BGR)","active":true,"usgs":false}],"preferred":false,"id":920011,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nassar, Nedal T. 0000-0001-8758-9732 nnassar@usgs.gov","orcid":"https://orcid.org/0000-0001-8758-9732","contributorId":197864,"corporation":false,"usgs":true,"family":"Nassar","given":"Nedal","email":"nnassar@usgs.gov","middleInitial":"T.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":920012,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Alonso, Elisa 0000-0002-0090-8284","orcid":"https://orcid.org/0000-0002-0090-8284","contributorId":223015,"corporation":false,"usgs":true,"family":"Alonso","given":"Elisa","email":"","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":920013,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shojaeddini, Ensieh 0000-0001-9584-6399","orcid":"https://orcid.org/0000-0001-9584-6399","contributorId":346849,"corporation":false,"usgs":true,"family":"Shojaeddini","given":"Ensieh","email":"","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":920014,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sandmann, Dirk","contributorId":346850,"corporation":false,"usgs":false,"family":"Sandmann","given":"Dirk","email":"","affiliations":[{"id":82996,"text":"ERZLABOR Advanced Solutions GmbH","active":true,"usgs":false}],"preferred":false,"id":920015,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70261676,"text":"70261676 - 2024 - Limited preservation of strike-slip surface displacement in the geomorphic record","interactions":[],"lastModifiedDate":"2024-12-18T16:47:17.653515","indexId":"70261676","displayToPublicDate":"2024-11-28T10:40:12","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7167,"text":"Journal of Geophysical Research: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Limited preservation of strike-slip surface displacement in the geomorphic record","docAbstract":"Offset geomorphic markers are commonly used to interpret slip history of strike-slip faults and have played an important role in forming earthquake recurrence models. These data sets are typically analyzed using cumulative probability methods to interpret average amounts of slip in past earthquakes. However, interpretation of the geomorphic record to infer surface slip history is complicated by slip variability, measurement uncertainty, and modification of offset features in the landscape. To investigate how well geomorphic data record surface slip, we use offset measurements from recent strike-slip surface ruptures (n = 39), faults with geomorphic evidence of multiple strike-slip earthquakes (n = 29), and synthetic slip distributions with added noise (n>10,000) to examine the constraints of the geomorphic record and the underlying assumptions of the cumulative offset probability distribution analysis method. We find that the geomorphic record is unlikely to resolve more than two paleo-slip distributions, except in specific cases with low slip variability, high slip-per-event, and semiarid climate. In cases where site-specific conditions allow for interpretation of more than two earthquakes, lateral extrapolation along a fault is not straightforward because on-fault displacement and distributed deformation may be spatially variable in each earthquake. We also find that average slip in modern earthquakes is adequately recovered by probability methods, but the reported prevalence of strike-slip faults with characteristic slip history is not supported by geomorphic data. We also propose updated methods to interpret slip history and construct uncertainty bounds for paleo-slip distributions.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024JB028692","usgsCitation":"Reitman, N.G., Klinger, Y., Briggs, R.W., and Gold, R.D., 2024, Limited preservation of strike-slip surface displacement in the geomorphic record: Journal of Geophysical Research: Solid Earth, v. 129, no. 11, e2024JB028692, 24 p., https://doi.org/10.1029/2024JB028692.","productDescription":"e2024JB028692, 24 p.","ipdsId":"IP-157733","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":498260,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024jb028692","text":"Publisher Index Page"},{"id":465283,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"129","issue":"11","noUsgsAuthors":false,"publicationDate":"2024-11-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Reitman, Nadine G. 0000-0002-6730-2682 nreitman@usgs.gov","orcid":"https://orcid.org/0000-0002-6730-2682","contributorId":5816,"corporation":false,"usgs":true,"family":"Reitman","given":"Nadine","email":"nreitman@usgs.gov","middleInitial":"G.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":921401,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Klinger, Yann","contributorId":266166,"corporation":false,"usgs":false,"family":"Klinger","given":"Yann","affiliations":[{"id":30776,"text":"Institut de Physique du Globe de Paris","active":true,"usgs":false}],"preferred":false,"id":921402,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":4136,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":921403,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gold, Ryan D. 0000-0002-4464-6394 rgold@usgs.gov","orcid":"https://orcid.org/0000-0002-4464-6394","contributorId":3883,"corporation":false,"usgs":true,"family":"Gold","given":"Ryan","email":"rgold@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":921404,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70270587,"text":"70270587 - 2024 - A global view of remote sensing of rangelands: Evolution, applications, future pathways","interactions":[],"lastModifiedDate":"2025-08-21T14:29:51.092797","indexId":"70270587","displayToPublicDate":"2024-11-28T09:27:55","publicationYear":"2024","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"11","title":"A global view of remote sensing of rangelands: Evolution, applications, future pathways","docAbstract":"The application of digital remote sensing to rangelands is as long as the history of digital remote sensing itself. Before the launch of the Earth Resources Technology Satellite (ERTS) – later renamed Landsat, scientists were evaluating the use of multispectral aerial imagery to map soils and range vegetation (Yost and Wenderoth 1969). During the late 1960’s, the promise of ERTS, designed to drastically improve our ability to update maps and study earth resources, particularly in developing countries, was eagerly anticipated by a number of government agencies (Carter 1969). With the ERTS launch on July 23, 1972, a flurry of research activity aimed at the application of this new data source to map earth resources began. Practitioners who pioneered the use of satellite based digital remote sensing found the new data source a significant value for rangeland assessments (e.g., Rouse et al., 1973, Rouse et al., 1974, Bauer 1976). This early work established many of the basic techniques still in use today to assess and monitor global rangelands. The following sub-sections discuss the evolution of remote sensing data, methods, and approaches in various decades.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Remote sensing handbook","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","doi":"10.1201/9781003541165-14","usgsCitation":"Reeves, M., Washington-Allen, R.A., Angerer, J., Hunt, E.R., Kulawardhana, W., Kumar, L., Loboda, T., Loveland, T., Metternicht, G., Ramsey, R.D., Hall, J.V., Benedict, T.D., Millikan, P., Retallack, A., Meddens, A.J., Smith, W.K., and Zhang, W., 2024, A global view of remote sensing of rangelands: Evolution, applications, future pathways, chap. 11 of Remote sensing handbook, v. III, p. 361-418, https://doi.org/10.1201/9781003541165-14.","productDescription":"58 p.","startPage":"361","endPage":"418","ipdsId":"IP-158984","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":494380,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"III","edition":"2nd edition","noUsgsAuthors":false,"publicationDate":"2024-11-28","publicationStatus":"PW","contributors":{"editors":[{"text":"Thenkabail, Prasad 0000-0002-2182-8822 pthenkabail@usgs.gov","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":211472,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","email":"pthenkabail@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":946743,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Reeves, Matthew","contributorId":95437,"corporation":false,"usgs":true,"family":"Reeves","given":"Matthew","affiliations":[],"preferred":false,"id":946744,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Washington-Allen, Robert A.","contributorId":172793,"corporation":false,"usgs":false,"family":"Washington-Allen","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":946745,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Angerer, Jay","contributorId":172794,"corporation":false,"usgs":false,"family":"Angerer","given":"Jay","email":"","affiliations":[],"preferred":false,"id":946746,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hunt, E. 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Douglas","contributorId":172799,"corporation":false,"usgs":false,"family":"Ramsey","given":"R.","email":"","middleInitial":"Douglas","affiliations":[],"preferred":false,"id":946753,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hall, Joanne V.","contributorId":360069,"corporation":false,"usgs":false,"family":"Hall","given":"Joanne","middleInitial":"V.","affiliations":[],"preferred":false,"id":946754,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Benedict, Trenton David 0000-0001-8672-2204","orcid":"https://orcid.org/0000-0001-8672-2204","contributorId":346111,"corporation":false,"usgs":true,"family":"Benedict","given":"Trenton","middleInitial":"David","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":946610,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Millikan, Pedro","contributorId":360070,"corporation":false,"usgs":false,"family":"Millikan","given":"Pedro","affiliations":[],"preferred":false,"id":946755,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Retallack, Angus","contributorId":360071,"corporation":false,"usgs":false,"family":"Retallack","given":"Angus","affiliations":[],"preferred":false,"id":946756,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Meddens, Arjan J.H.","contributorId":260476,"corporation":false,"usgs":false,"family":"Meddens","given":"Arjan","middleInitial":"J.H.","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":946757,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Smith, William K. 0000-0002-5785-6489","orcid":"https://orcid.org/0000-0002-5785-6489","contributorId":239667,"corporation":false,"usgs":false,"family":"Smith","given":"William","email":"","middleInitial":"K.","affiliations":[{"id":47959,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ","active":true,"usgs":false}],"preferred":false,"id":946758,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Zhang, Wen","contributorId":356791,"corporation":false,"usgs":false,"family":"Zhang","given":"Wen","affiliations":[],"preferred":false,"id":946759,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70261168,"text":"ofr20241069 - 2024 - Outmigration behavior and survival of juvenile Chinook salmon (Oncorhynchus tshawytscha) in response to deep drawdown of the Lookout Point Project, Middle Fork Willamette River, Oregon","interactions":[],"lastModifiedDate":"2025-12-22T21:08:42.407925","indexId":"ofr20241069","displayToPublicDate":"2024-11-27T07:12:37","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-1069","displayTitle":"Outmigration Behavior and Survival of Juvenile Chinook Salmon (Oncorhynchus tshawytscha) in Response to Deep Drawdown of the Lookout Point Project, Middle Fork Willamette River, Oregon","title":"Outmigration behavior and survival of juvenile Chinook salmon (Oncorhynchus tshawytscha) in response to deep drawdown of the Lookout Point Project, Middle Fork Willamette River, Oregon","docAbstract":"An acoustic telemetry study was conducted during August 2023–February 2024 to evaluate outmigration behavior and survival of juvenile Chinook salmon (Oncorhynchus tshawytscha) in the Middle Fork Willamette River, Oregon, during an experimental operation that was designed to facilitate downstream passage through two reservoirs and two dams. The experimental operation consisted of lowering the water surface elevation of Lookout Point Reservoir by nearly 100 feet between August and December 2023, and passing water through regulating outlets at Lookout Point Dam. This operation was intended to reduce residence time for juvenile Chinook salmon in Lookout Point Reservoir so that these fish would enter the free-flowing Willamette River as quickly as possible. During our study, acoustic-tagged juvenile Chinook salmon were released weekly during late August to late October to determine how fish responded to the drawdown. Data collected during the study were analyzed using a temporally stratified multistate mark-recapture model. We found that Lookout Point Reservoir became isothermic during the drawdown and water temperature exceeded 18 degrees Celsius during most of September 2023. This appeared to adversely affect juvenile Chinook salmon because the proportion of tagged fish that were subsequently detected in the forebay of Lookout Point Dam following release at the head of Lookout Point Reservoir during August 30–September 29 ranged from 0.01 to 0.05 for weekly release groups. Detections increased to 0.44–0.52 for fish released later in the year when water temperatures decreased. We found that fish size was a significant predictor of survival as fork length was positively related to survival probability in reservoir and free-flowing river reaches of our study area, but negatively related to survival probability for fish passing Lookout Point Dam. We also found that increased regulating outlet flow at Lookout Point Dam resulted in increased survival probability for juvenile Chinook salmon and water temperature was inversely related to survival. Results from this study suggest that the drawdown failed to create conditions that facilitated downstream passage and survival of juvenile Chinook salmon through the Lookout Point Project. Our analysis provides insights into several key factors that influence survival. This information can be used by resource managers when considering revised operations that may lead to improved outmigration survival in the future.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241069","collaboration":"Prepared in cooperation with U.S. Army Corps of Engineers","usgsCitation":"Hance, D.J., Kock, T.J., Kelley, J.R., Hansen, A.C., Perry, R.W., and Fielding, S.D., 2024, Outmigration behavior and survival of juvenile Chinook salmon (Oncorhynchus tshawytscha) in response to deep drawdown of the Lookout Point Project, Middle Fork Willamette River, Oregon: U.S. Geological Survey Open-File Report 2024–1069, 20 p., https://doi.org/10.3133/ofr20241069.","productDescription":"Report: vii, 20 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-169049","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":497903,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118055.htm","linkFileType":{"id":5,"text":"html"}},{"id":464547,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1069/coverthb2.jpg"},{"id":464548,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1069/ofr20241069.pdf","text":"Report","size":"5.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024-1069"},{"id":464549,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241069/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2024-1069"},{"id":464552,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1069/ofr20241069.XML"},{"id":464551,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1069/images"},{"id":464550,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14BRZVC","text":"USGS data release","description":"USGS data release","linkHelpText":"Acoustic-tagged juvenile Chinook salmon (Oncorhynchus tshawytscha) detections in Lookout Point Reservoir and downstream in the Middle Fork Willamette River, Oregon"}],"country":"United States","state":"Oregon","otherGeospatial":"Lookout Point Project, Middle Fork Willamette River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.83475416812524,\n 43.945953407421115\n ],\n [\n -122.83475416812524,\n 43.89190767942003\n ],\n [\n -122.73141100618557,\n 43.89190767942003\n ],\n [\n -122.73141100618557,\n 43.945953407421115\n ],\n [\n -122.83475416812524,\n 43.945953407421115\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Western Fisheries Research Center
U.S. Geological Survey
6505 NE 65th Street
Seattle, Washington 98115-5016
Pacific Coastal and Marine Science Center
U.S. Geological Survey
2885 Mission St.
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Studies of fish movement using conventional tags or acoustic telemetry have different benefits and biases that can influence how conclusions are used in a management context. Our objective was to determine whether these two methods provided similar inferences regarding movements and spawning site fidelity of Lake Whitefish Coregonus clupeaformis in Lake Michigan. Additionally, we assessed movement patterns and used telemetry to assess residency time of Lake Whitefish to provide managers with information on which stocks might be exposed to harvest in different regions.
Lake Whitefish were tagged during spawning in (1) North and Moonlight bays, (2) Big Bay de Noc, (3) the Menominee River, and (4) the Fox River. Proportions of fish moving between southern Green Bay, northern Green Bay, and Lake Michigan were compared between tag types. Spawning site fidelity was estimated for each tagging site. Seasonal residency indices were calculated using acoustic telemetry detections.
Estimates differed between the two methods, but overall trends were similar. Fox River fish rarely left southern Green Bay, and fish tagged in North and Moonlight bays rarely entered Green Bay (<10% of individuals). Big Bay de Noc and Menominee River fish moved into other regions more often (>50% of individuals). The residency indices indicated that Big Bay de Noc fish spent most of their time in Lake Michigan while Menominee River fish spent little time in northern Green Bay despite transitioning to the region. Compared to telemetry, conventional tag recoveries underestimated the proportion of individuals moving among regions. Spawning site fidelity estimates (28–100%) varied among tagging groups and between methods.
Our results suggest that data from conventional tags can inform management at broad geographic scales. However, acoustic telemetry can provide fine-scale information. Information gained from telemetry can be useful in understanding exposure to fishing mortality, which may be valuable for informing management decisions.
","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.11040","usgsCitation":"Izzo, L., Dembkowski, D., Binder, T., Hayden, T., Vandergoot, C.S., Hansen, S., Caroffino, D.C., Krueger, C.C., and Isermann, D.A., 2024, Comparing conventional tagging methods and acoustic telemetry to inform management of Lake Whitefish in Lake Michigan: North American Journal of Fisheries Management, v. 44, no. 6, p. 1232-1248, https://doi.org/10.1002/nafm.11040.","productDescription":"17 p.","startPage":"1232","endPage":"1248","ipdsId":"IP-164284","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":466742,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nafm.11040","text":"Publisher Index Page"},{"id":465484,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake 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These reports present and detail the methodology and procedures for characterization; present technical and operational information about the specific sensing system being evaluated; and provide a summary of test measurements, data retention practices, data analysis results, and conclusions.
Vision-1 is a high-resolution Earth observation satellite launched in September 2018 as a collaborative effort between Airbus and Surrey Satellite Technology Ltd. It features a Newtonian telescope with a refractive relay, capturing images in panchromatic and multispectral bands. Operating in a Sun-synchronous orbit at an altitude of 583 kilometers, Vision-1 ensures consistent illumination conditions during image acquisition. It has a revisit time of 1 to 8 days depending on latitude and viewing angle, and it features an off-pointing agility of plus or minus 45 degrees, allowing for multiple target captures in a single pass using spot, strip, and mosaic imaging modes. The panchromatic band offers a resolution of 0.87 meter (m), whereas the multispectral bands (blue, green, red, and near infrared) provide a resolution of 3.48 m. These capabilities support a variety of applications including urban planning, agricultural monitoring, land classification, natural resource management, and disaster response. More information on the Vision-1 satellite and sensors is available in the “2022 Joint Agency Commercial Imagery Evaluation—Remote Sensing Satellite Compendium.”
The Earth Resources Observation and Science Cal/Val Center of Excellence system characterization team completed data analyses to characterize the geometric (interior and exterior), radiometric, and spatial performances. Results of these analyses indicate that the Vision-1 satellite has an interior geometric performance in the range of 0 to 0.02 m in easting and −0.01 to 0.03 m in northing in band-to-band registration, an exterior geometric performance of 1.7 to 2.2 m in easting and −1.1 to −0.7 m in northing offset with a 90-percent circular error of 3.4 to 3.7 m, a radiometric performance in the range of −0.029 to 0.017 in offset and 0.884 to 0.984 in slope, and a spatial performance in the range of 0.992 to 1.092 pixels for multispectral full width at half maximum and 1.895 pixels for the panchromatic band full width at half maximum, with a modulation transfer function at a Nyquist frequency in the range of 0.29 to 0.36 for the multispectral bands and 0.05 for the panchromatic band.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211030Q","usgsCitation":"Vrabel, J.C., Bresnahan, P., Sampath, A., Kim, M., Park, S., and Clauson, J., 2024, System characterization report on Vision-1, chap. Q of Ramaseri Chandra, S.N., comp., System characterization of Earth observation sensors: U.S. Geological Survey Open-File Report 2021–1030, 14 p., https://doi.org/10.3133/ofr20211030Q.","productDescription":"iv, 14 p.","numberOfPages":"22","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-168556","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":464467,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1030/q/coverthb.jpg"},{"id":464468,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1030/q/ofr20211030q.pdf","text":"Report","size":"1.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021–1030–Q"},{"id":464469,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2021/1030/q/ofr20211030q.XML"},{"id":464470,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2021/1030/q/images/"},{"id":464471,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20211030Q/full"}],"contact":"Director, Earth Resources Observation and Science Center
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47914 252nd Street
Sioux Falls, SD 57198
Citizen science programs provide a means for Federal and non-Federal government agencies to make science more engaging, transparent, and accessible by partnering with the public for the purpose of problem solving, data collection, and monitoring. Public volunteers become directly involved in local research, thereby engaging in scientific projects. The public has already been included in existing citizen science programs that cover a broad range of disciplines, such as ecology, hydrology, and tectonics. Citizen science advances research while simultaneously fostering a sense of involvement and interest from the public.
Beginning in 2017, the U.S. Geological Survey (USGS), U.S. Forest Service, Bureau of Land Management, U.S. Fish and Wildlife Service, and National Park Service collaborated with private, non-profit partners to inventory, survey, and rehabilitate springs in Clark County, Nevada. The USGS maintains the National Water Information System (NWIS), a publicly available online database of water-resources data for the Nation, and the agency is interested in using citizen science to add geochemical data from springs in southern Nevada.
From 2021 to 2023, the USGS directly worked with citizen science partners, including the Springs Stewardship Institute and the Friends of Nevada Wilderness, to collect stable isotope and tritium samples from southern Nevada springs. The citizen science volunteers were provided the training and supplies for proper sample collection by USGS staff. As the citizen science partners traveled and hiked to the remote spring sites to complete spring surveys and perform restoration activities, they collected stable isotope and tritium samples for the USGS. Samples were shipped to national USGS laboratories for analysis, and the results were uploaded to the NWIS database (U.S. Geological Survey, 2024).
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2730 N. Deer Run Road
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Invasive plant species have substantial negative ecological and economic impacts. Geographic information on the potential and actual distributions of invasive plants is critical for their effective management. For many regions, numerous sources of predictive geographic information exist for invasive plants, often in the form of outputs from species distribution models (SDMs). The creation of a repository of consistently produced SDMs of regional- or national-scale information predicting the potential distribution of invasive plant species could provide information to managers in the prioritisation of invasive species management. Here, we present a novel set of not only habitat suitability models for occurrence for 259 manager requested invasive plant species in the contiguous United States (USA), but also habitat suitability models for abundance (≥ 5% cover) and high abundance (≥ 25% cover). These data provide an update to the Invasive Species Habitat Tool (INHABIT; gis.usgs.gov/inhabit). This tool contains information on the majority of invasive plant species in the contiguous USA with sufficient location data for model building. INHABIT provides a canonical set of predicted geographic distributions for invasive plants in the contiguous USA that can aid in the search for new populations of invasive plant species and help create watch lists for emerging invaders. As this tool contains information on nearly all of the most problematic invasive plants in the contiguous USA, it helps in prioritising management strategies by showing which plants are already present or abundant in a land management area and which may become present or abundant in the future.
","language":"English","publisher":"Pensoft","doi":"10.3897/neobiota.96.134842","usgsCitation":"Jarnevich, C.S., Engelstad, P., Williams, D.A., Shadwell, K.S., Reimer, C.J., Henderson, G., Prevey, J.S., and Pearse, I.S., 2024, Predicted occurrence and abundance habitat suitability of invasive plants in the contiguous United States: Updates for the INHABIT web tool.: NeoBiota, v. 96, p. 261-278, https://doi.org/10.3897/neobiota.96.134842.","productDescription":"18 p.","startPage":"261","endPage":"278","ipdsId":"IP-167257","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":466743,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3897/neobiota.96.134842","text":"Publisher Index Page"},{"id":464943,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"contiguous United States","geographicExtents":"{\n 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0000-0001-6835-425X","orcid":"https://orcid.org/0000-0001-6835-425X","contributorId":332473,"corporation":false,"usgs":false,"family":"Shadwell","given":"Keana","email":"","middleInitial":"S.","affiliations":[{"id":79471,"text":"Student contractor to the U.S. Geological Survey, Fort Collins Science Center","active":true,"usgs":false}],"preferred":false,"id":920566,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reimer, Cameron J. 0000-0002-2058-0538","orcid":"https://orcid.org/0000-0002-2058-0538","contributorId":344094,"corporation":false,"usgs":false,"family":"Reimer","given":"Cameron","email":"","middleInitial":"J.","affiliations":[{"id":79471,"text":"Student contractor to the U.S. Geological Survey, Fort Collins Science Center","active":true,"usgs":false}],"preferred":false,"id":920567,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Henderson, Grace C. 0000-0001-9542-6888","orcid":"https://orcid.org/0000-0001-9542-6888","contributorId":328973,"corporation":false,"usgs":false,"family":"Henderson","given":"Grace","middleInitial":"C.","affiliations":[{"id":78543,"text":"Student contractor to the USGS","active":true,"usgs":false}],"preferred":false,"id":920568,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Prevey, Janet S. 0000-0003-2879-6453","orcid":"https://orcid.org/0000-0003-2879-6453","contributorId":222702,"corporation":false,"usgs":true,"family":"Prevey","given":"Janet","email":"","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":920569,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pearse, Ian S. 0000-0001-7098-0495","orcid":"https://orcid.org/0000-0001-7098-0495","contributorId":216680,"corporation":false,"usgs":true,"family":"Pearse","given":"Ian","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":920570,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70262019,"text":"70262019 - 2024 - The effects of spatio-temporal variation in marine resources on the occupancy dynamics of a terrestrial avian predator","interactions":[],"lastModifiedDate":"2025-01-10T15:38:35.090413","indexId":"70262019","displayToPublicDate":"2024-11-24T08:32:40","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"The effects of spatio-temporal variation in marine resources on the occupancy dynamics of a terrestrial avian predator","docAbstract":"Identifying how species respond to system drivers such as weather, climate, habitat, and resource availability is critical in understanding population change. In coastal areas, the transfer of nutrients across the marine and terrestrial interface increases complexity. Nesting populations of bald eagles (Haliaeetus leucocephalus) along the Pacific coast of North America, although terrestrial, are largely dependent on marine resources during the breeding season and therefore represent a good focal species for understanding linkages of nutrients between terrestrial and marine systems. Due to their location, coastal eagle populations are susceptible to a variety of climate-induced perturbations, from both land and sea. The northeast Pacific Marine Heatwave (PMH) of 2014-2016 had wide-ranging impacts on the marine ecosystem and provided an opportunity to explore how marine conditions can impact terrestrial wildlife populations. We used a spatially-explicit multi-state occupancy modeling framework to analyze >30yrs of bald eagle nest occupancy data collected in four large national parks along a coastal-interior gradient in Alaska, USA. We assessed occupancy state in relation to weather conditions, salmon abundance, access to alternate prey resources, and the PMH event to help elucidate the factors affecting bald eagle occupancy dynamics over time. We found that occupancy probability was higher in areas where prey resources were concentrated (e.g., near seabird colonies, where bears facilitate access to salmon carcasses). We also found that the probability of reproductive success was higher during warmer, drier springs with higher-than-average salmon abundance. After the onset of the marine heatwave, success declined in the areas most dependent on non-salmon marine resources. These findings confirm the importance of spring weather conditions and access to salmon resources during the critical chick-rearing period, but also reveal that marine heatwaves may have important secondary effects through a reduction in the overall quantity or quality of prey available to bald eagles. Given ongoing warming at high latitudes and the expectation that marine heatwaves will become more common, our findings are useful for understanding ongoing and future changes in the transfer of nutrients from marine to terrestrial ecosystems and how such changes may impact terrestrial species such as bald eagles.
","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.70078","usgsCitation":"Schmidt, J., Coletti, H.A., Cutting, K., Wilson, T.L., Mangipane, B.A., Schultz, C., and Schertz, D., 2024, The effects of spatio-temporal variation in marine resources on the occupancy dynamics of a terrestrial avian predator: Ecosphere, v. 15, no. 11, e70078, 20 p., https://doi.org/10.1002/ecs2.70078.","productDescription":"e70078, 20 p.","ipdsId":"IP-160904","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":466745,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70078","text":"Publisher Index Page"},{"id":465985,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -155.87303317749726,\n 58.10488388072105\n ],\n [\n -142.06303742386143,\n 59.18556482485508\n ],\n [\n -141.20302314317152,\n 60.18220860178873\n ],\n [\n -141.93448222543984,\n 61.62146548769948\n ],\n [\n -155.82554040260186,\n 60.581802907191815\n ],\n [\n -156.66072744660838,\n 59.58828360613053\n ],\n [\n -155.87303317749726,\n 58.10488388072105\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"11","noUsgsAuthors":false,"publicationDate":"2024-11-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Schmidt, Joshua H.","contributorId":167772,"corporation":false,"usgs":false,"family":"Schmidt","given":"Joshua H.","affiliations":[{"id":24828,"text":"Central Alaska Network, National Park Service, Fairbanks, Alaska","active":true,"usgs":false}],"preferred":false,"id":922723,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coletti, Heather A.","contributorId":187561,"corporation":false,"usgs":false,"family":"Coletti","given":"Heather","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":922724,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cutting, Kyle A.","contributorId":328692,"corporation":false,"usgs":false,"family":"Cutting","given":"Kyle A.","affiliations":[{"id":78459,"text":"U.S. Fish & Wildlife Service, Red Rock Lakes NWR","active":true,"usgs":false}],"preferred":false,"id":922725,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, Tammy L. 0000-0002-3672-8277","orcid":"https://orcid.org/0000-0002-3672-8277","contributorId":293684,"corporation":false,"usgs":true,"family":"Wilson","given":"Tammy","email":"","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":922726,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mangipane, Buck A.","contributorId":288781,"corporation":false,"usgs":false,"family":"Mangipane","given":"Buck","email":"","middleInitial":"A.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":922727,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schultz, Carlene N.","contributorId":347883,"corporation":false,"usgs":false,"family":"Schultz","given":"Carlene N.","affiliations":[{"id":36976,"text":"U.S. National Park Service","active":true,"usgs":false}],"preferred":false,"id":922728,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schertz, Dylan T.","contributorId":347885,"corporation":false,"usgs":false,"family":"Schertz","given":"Dylan T.","affiliations":[{"id":36976,"text":"U.S. National Park Service","active":true,"usgs":false}],"preferred":false,"id":922729,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70261898,"text":"70261898 - 2024 - Using structural causal modeling to infer the effects of wildfire on foothill yellow-legged frog occurrence","interactions":[],"lastModifiedDate":"2025-03-25T15:52:29.353037","indexId":"70261898","displayToPublicDate":"2024-11-23T09:19:33","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Using structural causal modeling to infer the effects of wildfire on foothill yellow-legged frog occurrence","docAbstract":"Sierra Nevada ecosystems have been influenced by fire for millennia; however, increasing wildfire size and frequency may yield unforeseen consequences on wildlife populations and their distribution. Foothill yellow-legged frogs Rana boylii have declined in portions of their range and are considered a species of conservation concern. We surveyed streams for foothill yellow legged frogs in and near the 2021 Dixie Fire footprint using double-observer visual encounter surveys that incorporated time-to-detection methods, and used structural causal modeling to improve post-fire inference while lacking pre-fire data. We found that foothill yellow-legged frog probability of occurrence was 4.93 (95% equal-tailed interval = 0.52 – 160) times higher outside the footprint of the Dixie Fire than within it, though probability of occurrence was generally low within our sampling frame (ψunburned = 0.21 [0.08 – 0.49]; ψburned = 0.05 [0.002 – 0.28]). Measured environmental characteristics, however, were similar within and outside the fire footprint, and observed occupancy patterns might reflect the recent historical distribution of the frogs. Our study emphasizes the importance of site-specific pre-disturbance data when attempting to evaluate the causal effects of disturbances on wildlife. Although it remains to be seen how this species will fare in an increasingly frequent and intense fire regime, foothill yellow-legged frogs may tolerate some level of fire disturbance.
","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/JFWM-24-037","usgsCitation":"Halstead, B., Kleeman, P.M., and Rose, J.P., 2024, Using structural causal modeling to infer the effects of wildfire on foothill yellow-legged frog occurrence: Journal of Fish and Wildlife Management, v. 15, no. 2, p. 419-431, https://doi.org/10.3996/JFWM-24-037.","productDescription":"13 p.","startPage":"419","endPage":"431","ipdsId":"IP-169208","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":488311,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/jfwm-24-037","text":"Publisher Index Page"},{"id":465610,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.47069694179848,\n 41.046727577050234\n ],\n [\n -122.47069694179848,\n 39.95131798630993\n ],\n [\n -120.09752429348453,\n 39.95131798630993\n ],\n [\n -120.09752429348453,\n 41.046727577050234\n ],\n [\n -122.47069694179848,\n 41.046727577050234\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-03-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":3051,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian J.","email":"bhalstead@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":922197,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kleeman, Patrick M. 0000-0001-6567-3239 pkleeman@usgs.gov","orcid":"https://orcid.org/0000-0001-6567-3239","contributorId":3948,"corporation":false,"usgs":true,"family":"Kleeman","given":"Patrick","email":"pkleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":922198,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rose, Jonathan P. 0000-0003-0874-9166 jprose@usgs.gov","orcid":"https://orcid.org/0000-0003-0874-9166","contributorId":199339,"corporation":false,"usgs":true,"family":"Rose","given":"Jonathan","email":"jprose@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":922199,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70261071,"text":"sir20245089 - 2024 - Mapping karst groundwater flow paths and delineating recharge areas for springs in the Little Sequatchie and Pryor Cove watersheds, Tennessee","interactions":[],"lastModifiedDate":"2025-12-22T20:39:12.793493","indexId":"sir20245089","displayToPublicDate":"2024-11-22T16:23:22","publicationYear":"2024","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":"2024-5089","displayTitle":"Mapping Karst Groundwater Flow Paths and Delineating Recharge Areas for Springs in the Little Sequatchie and Pryor Cove Watersheds, Tennessee","title":"Mapping karst groundwater flow paths and delineating recharge areas for springs in the Little Sequatchie and Pryor Cove watersheds, Tennessee","docAbstract":"The Little Sequatchie River and Pryor Cove Branch, in southern Tennessee, drain the eastern escarpment of the Cumberland Plateau to the Sequatchie River near the southern end of the Sequatchie Valley. The Little Sequatchie River is the largest tributary to the Sequatchie River by drainage area, covering over 120 square miles. The hydrology of the two drainage areas has been largely altered by karst processes, which has caused the majority of the streams to sink at the contact between the Mississippian Pennington Formation and the underlying Mississippian Bangor Limestone. The U.S. Geological Survey, in cooperation with the U.S. Fish and Wildlife Service and Tennessee Department of Environment and Conservation, initiated a study in 2021 to map the karst groundwater pathways in both watersheds in order to delineate recharge areas for several springs. One of these springs, Sequatchie Cave, represents a significant habitat for two Species of Greatest Conservation Need, the Glyphopsyche sequatchie (Sequatchie caddisfly) and the federally endangered Marstonia ogmorhaphe (royal marstonia). Springs and springflow-dominated streams in the Little Sequatchie River valley and Pryor Cove also provide water for agricultural practices and serve as a drinking water source for nearby communities. During the study, a total of 25 dye injections were conducted over eight rounds from January 2022 through March 2023. Dye traces from these injections helped to delineate recharge areas for six major springs, ranging from 7.3 to 65.2 square miles in area. The majority of the dye traces remained subsurface (from sinkpoint to recovery site) for long distances, with karst groundwater travelling nearly 8 miles before resurfacing. The dye traces also had rapid traveltimes, often travelling hundreds to thousands of feet per hour. The goal of this project was to provide scientific data related to karst groundwater pathways and spring recharge areas to aid State and Federal agencies in making informed decisions to protect and preserve this unique and vulnerable karst system.
Director, Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
640 Grassmere Park, Suite 100
Nashville, TN 37211
Contact Us- USGS Publications Warehouse
","tableOfContents":"The U.S. Geological Survey constructed a two-dimensional hydrodynamic model that was applied to a 15.8-mile tailwater reach of the Colorado River in Glen Canyon that begins 0.25 mile downstream from Glen Canyon Dam and extends to Lees Ferry in Glen Canyon National Recreation Area, Arizona. The model used the Flow and Sediment Transport with Morphological Evolution of Channels (FaSTMECH) solver in the International River Interface Cooperative (iRIC) modeling interface. The model grid was developed from a full channel digital elevation model derived by combining bathymetric and topographic data collected from March 2013 to February 2016. The model was used to predict water-surface elevations, depths, depth-averaged flow velocities, and bed shear stresses for discharges ranging from 1,000 to 70,000 cubic feet per second. Modeled water-surface elevations matched well with measured values at cross sections throughout the reach, with a mean absolute error of 0.14 meter over the range of typical discharge releases from Glen Canyon Dam. The mean error on discharge, a measure of how well the model solution converged, averaged 0.6 percent and did not exceed 2 percent over the range of discharges modeled. These results indicate that model predictions of hydraulic parameters are reasonably accurate and suitable for use for a variety of purposes, such as ecological and geomorphic modeling.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1197","usgsCitation":"Wright, S.A., Kaplinski, M.A., and Grams, P.E., 2024, Hydrodynamic model of the Colorado River, Glen Canyon Dam to Lees Ferry in Glen Canyon National Recreation Area, Arizona: U.S. Geological Survey Data Report 1197, 9 p., https://doi.org/10.3133/dr1197.","productDescription":"Report: v, 9 p.; Data Release","numberOfPages":"9","onlineOnly":"Y","ipdsId":"IP-161399","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":464434,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1197/dr1197.XML"},{"id":464432,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1197/coverthb.jpg"},{"id":497908,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117828.htm","linkFileType":{"id":5,"text":"html"}},{"id":464437,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1QTRNEB","text":"USGS Data Release","description":"Wright, S.A., Kaplinski, M., and Grams, P.E., 2024, Hydrodynamic model of the Colorado River, Glen Canyon Dam to Lees Ferry in Glen Canyon National Recreation Area, Arizona—Tables of model results and accuracy assessment: U.S. Geological Survey data release, https://doi.org/10.5066/P1QTRNEB.","linkHelpText":"Hydrodynamic model of the Colorado River, Glen Canyon Dam to Lees Ferry in Glen Canyon National Recreation Area, Arizona—Tables of model results and accuracy assessment"},{"id":464436,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/dr1197/full"},{"id":464435,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1197/images"},{"id":464433,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1197/dr1197.pdf","text":"Report","size":"2.6 MB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River, Glen Canyon Dam, Lees Ferry","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.45495155269207,\n 36.96381776712943\n ],\n [\n -111.62114273826977,\n 36.96381776712943\n ],\n [\n -111.62114273826977,\n 36.820663467737276\n ],\n [\n -111.45495155269207,\n 36.820663467737276\n ],\n [\n -111.45495155269207,\n 36.96381776712943\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Southwest Biological Science Center
U.S. Geological Survey
2255 N. Gemini Drive
Flagstaff, AZ 86001
Director, National Land Imaging Program
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192
Site 11 is a former landfill at North Chevalier Field Disposal Area in Operable Unit 2 at Naval Air Station Pensacola, in northwest Florida. Site 11 is adjacent to Bayou Grande, a shallow, tidally influenced, saline estuary of the Pensacola Bay watershed. Federal and Florida regulators have expressed concern that contaminants detected in groundwater beneath the inland parts of Site 11 may discharge to Bayou Grande. In 2017, the Department of Defense, U.S. Navy, Naval Facilities Engineering Systems Command Southeast asked the U.S. Geological Survey to assess the occurrence of fresh groundwater discharge to Bayou Grande at Site 11 and to delineate to the extent practicable the location of groundwater discharge. Between 2018 and 2022, the U.S. Geological Survey used a multiple-lines-of-evidence approach that included a visual method and three physical methods based on the temperature difference between groundwater and surface water to assess groundwater discharge. One of the physically based methods also used the difference in specific conductance between fresh groundwater and brackish to saline surface water. Combined, the data indicate that fresh groundwater from across Site 11 discharges primarily along the shoreline of the northern and northeastern part of Site 11. The data also indicate that saline surface water from Bayou Grande intrudes tens of feet into the shallow aquifer beneath Site 11. The combined data indicate that the interface between fresh groundwater and saline surface water changes over space and time. Any new monitoring wells proposed for installation near the shoreline of Site 11 should include approaches to monitor the changes in the location of the freshwater/saltwater interface. Care would need to be taken to collect any groundwater samples at the correct season and tidal period to provide the highest probability of collecting a representative sample of Site 11 groundwater unaffected by saltwater.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245058","issn":"2328-0328","collaboration":"Prepared in cooperation with the U.S. Navy Naval Facilities Engineering Systems Command Southeast","usgsCitation":"Landmeyer, J.E., McBride, W.S., Tripp, C.H., and Singletary, M.A., 2024, Assessment of fresh groundwater discharge and saline surface-water intrusion at Operable Unit 2, North Chevalier Field Disposal Area (Site 11), Naval Air Station Pensacola, Florida, 2018–22: U.S. Geological Survey Scientific Investigations Report 2024–5058, 45 p., https://doi.org/10.3133/sir20245058.","productDescription":"Report: x, 45 p.; Data Release","numberOfPages":"60","onlineOnly":"Y","ipdsId":"IP-130056","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":464357,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1WQEBHV","text":"USGS Data Release","linkHelpText":"- Specific conductance and fiber-optic distributed temperature sensing data collected at Operable Unit 2, North Chevalier Field Disposal Area (Site 11), Naval Air Station Pensacola, Florida, 2018–2022"},{"id":464399,"rank":6,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5058/images"},{"id":464356,"rank":4,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245058/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5058 HTML"},{"id":464355,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5058/sir20245058.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2024-5058 XML"},{"id":464354,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5058/sir20245058.pdf","size":"11.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5058"},{"id":464353,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5058/coverthb.jpg"},{"id":497910,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117829.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","otherGeospatial":"Naval Air Station Pensacola, North Chevalier Field Disposal Area (Site 11)","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -87.27464292788976,\n 30.36430517427192\n ],\n [\n -87.27464292788976,\n 30.355396636678606\n ],\n [\n -87.26488586538576,\n 30.355396636678606\n ],\n [\n -87.26488586538576,\n 30.36430517427192\n ],\n [\n -87.27464292788976,\n 30.36430517427192\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, South Atlantic Water Science Center
U.S. Geological Survey
1770 Corporate Drive, suite 500
Norcross, GA 30093
Contact Us- USGS Publications Warehouse
","tableOfContents":"This report describes a compilation of brood observations for Anatidae species breeding in Maine during an 18-year period (1977–94) that were made by the U.S. Geological Survey’s Patuxent Wildlife Research Center while it was operated by the U.S. Fish and Wildlife Service. During four focused studies, variables affecting the declining Anas rubripes (Brewster, 1902) (American black duck, hereafter black duck) population were assessed. Broods were observed on seven geographical study sites within four study areas located in three of Maine’s five biophysical regions. For combined studies, 168 wetlands were monitored for broods.
The 1,907 recorded broods were distributed among study areas: 185 in Dixmont, 241 in Cherryfield and Beddington, 411 in Moosehorn, Baring Unit and Edmunds Unit, and 849 in Aroostook County, Agricultural and Forested sites. Additionally, 221 broods were recorded in the 117-hectare Downing Bog wetland at the Cherryfield site during annual evening visits made between 1985 and 1991. Twelve Anatidae species, mostly black duck (676), Aix sponsa (Linnaeus, 1758) (wood duck; 265), Aythya collaris (Donovan, 1809) (ring-necked duck; 246), and Lophodytes cucullatus (Linnaeus, 1758) (hooded merganser; 163) were observed. Only 139 broods of Anas platyrhynchos (Linnaeus, 1758) (mallard) were found; all but 9 broods were at the Aroostook County, Agricultural site. Branta canadensis (Linnaeus, 1758) (Canada goose) broods were found at the Aroostook County, Agricultural site (58) and Moosehorn, Baring Unit (97).
For the combined studies, 468 of 676 (69.2 percent) of black duck broods reached fledging age (Class IIc-III), whereas 93 of 139 (66.9 percent) of mallard broods reached fledging age. Black ducks used predominantly palustrine, emergent wetland; palustrine, forested wetland; and palustrine, scrub-shrub wetland. Of the 134 mallard broods observed at the Agricultural and Forested sites in Aroostook County, 130 (97.0 percent) were observed at the Agricultural site and 93 (71.5 percent) of them were recorded on two palustrine and two lacustrine, unconsolidated bottom class wetlands. Mean size of black duck, wood duck, and ring-necked duck broods in this report were similar to those reported from historic Maine data.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1200","usgsCitation":"Longcore, J.R., Bunck, C.M., McAuley, D.G., and Clugston, D.A., 2024, Anatidae brood records in Maine during studies of Anas rubripes (American black duck), 1977–94: U.S. Geological Survey Data Report 1200, 25 p., https://doi.org/10.3133/dr1200.","productDescription":"Report: vii, 25 p.; Data Release","numberOfPages":"25","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-167393","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":464303,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1200/coverthb.jpg"},{"id":464308,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13TOYWG","text":"USGS data release","linkHelpText":"Waterfowl (Anatidae) Brood Data, Maine, 1977–1994"},{"id":464307,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1200/images/"},{"id":464304,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1200/dr1200.pdf","text":"Report","size":"2.19 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DR 1200 PDF"},{"id":464305,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/dr1200/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"DR 1200 HTML"},{"id":464306,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1200/dr1200.XML","linkFileType":{"id":8,"text":"xml"},"description":"DR 1200 XML"}],"country":"United 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\"}}]}","contact":"Director, Eastern Ecological Science Center
U.S. Geological Survey
11649 Leetown Road
Kearneysville, WV 25430
Population estimates are often required for identifying relationships between predators and their prey and to inform conservation and management actions. The random encounter model (REM) estimates population density of wildlife lacking individually unique markings, based on photographs or videos from remote camera-traps. However, the REM has strict sampling and input requirements that can be problematic, particularly for predators and other species which use landscapes non-randomly. Using data from a predator and its co-occurring prey, we found that placing cameras to target the predator, which may be implemented to achieve minimum sample sizes, inflated both predator and prey density estimates. Further, borrowing movement velocity (day range) values from other studies, species, or time periods caused substantial changes in density estimates. A comprehensive literature review revealed that 91% of REM density estimates in published predator–prey studies used data from non-random cameras or borrowed movement velocities and therefore did not satisfy REM requirements. Consequently, most REM density estimates from predator–prey ecology studies are likely not of the quality or reliability necessary for informing effective wildlife conservation or management.
","language":"English","publisher":"MDPI","doi":"10.3390/ani14233361","usgsCitation":"Murphy, S.M., Nolan, B., Chen, F., Longshore, K., Simes, M., Berr, G.A., and Esque, T., 2024, Most random-encounter-model density estimates in camera-based predator-prey studies are unreliable: Animals, v. 14, no. 23, 3361, 24 p., https://doi.org/10.3390/ani14233361.","productDescription":"3361, 24 p.","ipdsId":"IP-161802","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":489906,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/ani14233361","text":"Publisher Index Page"},{"id":481261,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","city":"Boulder City","otherGeospatial":"Boulder City Conservation Easement","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -115.22729018400342,\n 35.97057404887106\n ],\n [\n -115.22729018400342,\n 35.82849801220463\n ],\n [\n -114.84083854402814,\n 35.82849801220463\n ],\n [\n -114.84083854402814,\n 35.97057404887106\n ],\n [\n -115.22729018400342,\n 35.97057404887106\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","issue":"23","noUsgsAuthors":false,"publicationDate":"2024-11-22","publicationStatus":"PW","contributors":{"authors":[{"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":925093,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nolan, Benjamin S.","contributorId":347691,"corporation":false,"usgs":false,"family":"Nolan","given":"Benjamin S.","affiliations":[],"preferred":false,"id":925094,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chen, Felicia 0000-0002-7408-5946","orcid":"https://orcid.org/0000-0002-7408-5946","contributorId":210469,"corporation":false,"usgs":true,"family":"Chen","given":"Felicia","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":925095,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Longshore, Kathleen 0000-0001-6621-1271","orcid":"https://orcid.org/0000-0001-6621-1271","contributorId":216374,"corporation":false,"usgs":true,"family":"Longshore","given":"Kathleen","email":"","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":925096,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Simes, Matthew T.","contributorId":349895,"corporation":false,"usgs":false,"family":"Simes","given":"Matthew T.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":925097,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Berr, Gabrielle A. 0009-0004-1531-7761","orcid":"https://orcid.org/0009-0004-1531-7761","contributorId":333759,"corporation":false,"usgs":false,"family":"Berr","given":"Gabrielle","email":"","middleInitial":"A.","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":925098,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Esque, Todd 0000-0002-4166-6234 tesque@usgs.gov","orcid":"https://orcid.org/0000-0002-4166-6234","contributorId":195896,"corporation":false,"usgs":true,"family":"Esque","given":"Todd","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":925099,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70270927,"text":"70270927 - 2024 - Using crustal-scale refraction data of joint inversions of Rayleigh-wave dispersion curves and H/V spectral ratios for Atlantic Coastal Plain velocity structure, eastern U.S.","interactions":[],"lastModifiedDate":"2025-08-27T15:34:26.143803","indexId":"70270927","displayToPublicDate":"2024-11-22T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Using crustal-scale refraction data of joint inversions of Rayleigh-wave dispersion curves and H/V spectral ratios for Atlantic Coastal Plain velocity structure, eastern U.S.","docAbstract":"Shallow shear‐wave velocities (Vs) sometimes are estimated from joint inversions of horizontal‐to‐vertical (H/V) spectral ratios and surface‐wave dispersion curves derived from ambient noise or small active sources. Here, we evaluate carrying out these inversions using Rayleigh‐wave dispersion curves computed from crustal‐scale P‐wave seismic refraction data. We use data from the 2014–2015 Eastern North American Margin (ENAM) experiment in Virginia and North Carolina, but similar seismic refraction data sets have been acquired over sedimentary basins of interest for seismic hazard studies, including in major urban areas. The ENAM project deployed a pair of ∼215 km long, northwest–southeast linear arrays with ∼300 m receiver spacing to record 11 dynamite shots, and 80 continuously recording seismometers with 5–6 km spacing along the same arrays to record offshore airguns. The arrays crossed the onland portion of the Atlantic Coastal Plain sediments, which are a seaward‐thickening wedge of Cretaceous and younger sediments deposited mostly on crystalline bedrock. We compute Rayleigh‐wave dispersion curves from 3 to 9 km long portions of the receiver arrays on each side of the dynamite shots, and we compute ambient‐noise H/V ratios from the continuously recording seismometers. We use a genetic inversion algorithm in which forward velocity models in each “generation” are evaluated for misfits compared to the observed data, with subsequent generations constructed from the models with the smallest misfits. Velocities to depths of 500 m are defined well, as shown by a narrow range of velocities in the best‐fit models, by the consistency between multiple inversion runs at a site, and by forward modeling of site responses. The resulting velocity cross‐section of the Coastal Plain strata has seaward‐dipping contours in the thinner portions of the Coastal Plain but smaller dips in the deeper portions. We interpret these results as showing that velocity contours in the ACP strata are influenced by a combination of lithology and overburden pressure. Results demonstrate that existing seismic refraction data have the potential for determining detailed shallow shear‐wave velocity profiles.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120230241","usgsCitation":"Pratt, T., Parolai, S., Poggi, V., and Dreossi, I., 2024, Using crustal-scale refraction data of joint inversions of Rayleigh-wave dispersion curves and H/V spectral ratios for Atlantic Coastal Plain velocity structure, eastern U.S.: Bulletin of the Seismological Society of America, v. 115, no. 1, p. 270-295, https://doi.org/10.1785/0120230241.","productDescription":"26 p.","startPage":"270","endPage":"295","ipdsId":"IP-167122","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":494950,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"eastern United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -90.88300039003173,\n 39.731394919591565\n ],\n [\n -90.88300039003173,\n 24.876206992183768\n ],\n [\n -74.40455609054004,\n 24.876206992183768\n ],\n [\n -74.40455609054004,\n 39.731394919591565\n ],\n [\n -90.88300039003173,\n 39.731394919591565\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"115","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-11-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Pratt, Thomas 0000-0003-3131-3141 tpratt@usgs.gov","orcid":"https://orcid.org/0000-0003-3131-3141","contributorId":201084,"corporation":false,"usgs":true,"family":"Pratt","given":"Thomas","email":"tpratt@usgs.gov","affiliations":[],"preferred":true,"id":947394,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parolai, Stefano 0000-0002-9084-7488","orcid":"https://orcid.org/0000-0002-9084-7488","contributorId":296105,"corporation":false,"usgs":false,"family":"Parolai","given":"Stefano","email":"","affiliations":[{"id":63989,"text":"Instituto Nazionale di Oceonografia","active":true,"usgs":false}],"preferred":false,"id":947395,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poggi, Valerio","contributorId":360682,"corporation":false,"usgs":false,"family":"Poggi","given":"Valerio","affiliations":[{"id":86081,"text":"Trieste, Italy","active":true,"usgs":false}],"preferred":false,"id":947396,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dreossi, Ilaria","contributorId":296107,"corporation":false,"usgs":false,"family":"Dreossi","given":"Ilaria","email":"","affiliations":[{"id":63991,"text":"National Institute of Oceanography and Applied Geophysics – OGS, Udine, Italy","active":true,"usgs":false}],"preferred":false,"id":947397,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70261070,"text":"cir1544 - 2024 - U.S. Geological Survey Earthquake Hazards Program decadal science strategy, 2024–33","interactions":[],"lastModifiedDate":"2024-12-02T19:00:36.118426","indexId":"cir1544","displayToPublicDate":"2024-11-21T15:57:46","publicationYear":"2024","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":"1544","displayTitle":"U.S. Geological Survey Earthquake Hazards Program Decadal Science Strategy, 2024–33","title":"U.S. Geological Survey Earthquake Hazards Program decadal science strategy, 2024–33","docAbstract":"Earthquakes represent one of our Nation’s most significant and costly natural hazards, with estimated annual loses from earthquakes close to $15 billion in 2023. Over the past two centuries, 37 U.S. States have experienced an earthquake exceeding a magnitude of 5, and 50 percent of States have a significant potential for future damaging shaking; these statistics speak to the need for nationwide interest and investment in earthquake hazard characterization and risk reduction.
Authorized under the Earthquake Hazards Reduction Authorization Act, the U.S. Geological Survey (USGS) Earthquake Hazards Program (EHP) provides the scientific information, situational awareness, and knowledge necessary to reduce deaths, injuries, and economic losses from earthquakes and earthquake-induced tsunamis, landslides, and soil liquefaction. The EHP supports activities in three focused topical areas: (1) earthquake monitoring, (2) hazard assessment, and (3) applied research, using the results of each—and the coordination among them—to further support risk translation and communication in regions at risk nationwide.
For earthquake monitoring, the Advanced National Seismic System (ANSS), a cooperative effort of USGS networks, university partner regional seismic networks, and real-time geodetic networks, collects and analyzes data on earthquakes; issues timely, reliable notifications of their occurrence and impacts; and provides data for earthquake research, hazard, and risk assessment as a foundation for building an earthquake-resilient Nation. The USGS-operated ShakeAlert Earthquake Early Warning system is a recent addition to EHP’s ANSS infrastructure.
In the realm of earthquake hazard assessment, the EHP contributes to earthquake risk mitigation strategies by developing the National Seismic Hazard Model and maps, and other related products, that describe the likelihood and potential effects of earthquakes nationwide, especially in the urban areas of highest risk. The EHP also conducts research on the causes, characteristics, and effects of earthquakes and prioritizes work that directly increases the accuracy and precision of earthquake hazards assessments, earthquake forecasts, and earthquake monitoring and situational-awareness products and that supports the Nation’s earthquake mitigation practices.
Bridging the EHP’s efforts across research, hazard assessments, and earthquake monitoring is a broad and comprehensive collection of earthquake information products, including the National Seismic Hazard Model, ShakeAlert, and other products describing impact, such as ShakeMap and PAGER (Prompt Assessment of Global Earthquakes for Response), which have been developed and integrated into EHP’s real-time monitoring systems.
EHP funds external partners to carry out many important collaborative activities through an active external grants program—one of the largest in the USGS—and through cooperative agreements with other partners such as the university-operated regional seismic networks, funded as part of the ANSS.
To continue its support of earthquake hazard characterization and risk reduction, the EHP aims to strengthen its foundational products and practices while positioning itself to respond to the evolving needs of the Nation and follow best practices of the scientific community. This document describes a strategy for the program to ensure it can meet these demands. The foundational priorities outlined in this strategy represent those activities that remain critical to the core functionality of the program and those that can be supported under current fiscal year 2024-level appropriations. Priorities described as aspirational are important for future growth, and to maintain the program’s position as a leading global resource in earthquake science, but would require increases in appropriated funding to be fully realized.
Across the program’s portfolio of activities, several major themes have been identified as the most critical activities to advance EHP science over the coming decade. Together, these activities provide the framework necessary to integrate critical hazard characterization and risk reduction activities across the program. They provide the structure for research to advance the understanding of where, when, and why earthquakes occur and how we can use improved knowledge to drive short-term and actionable forecasts of seismic activity. They expand the usefulness of critical earthquake products and advance the sophistication of those products to keep pace with the rapidly evolving needs of an ever-expanding user base while maintaining the position of the USGS as a global leader in earthquake science.
This science strategy is organized into three primary sections. The first section provides an overview of the EHP and its budget, governance, and program council. Readers familiar with the program may wish to focus on the second section, which describes the core of the science strategy, including priorities across each of the EHP’s major program activities in monitoring, hazard assessment, and targeted research. The third section outlines science priorities that cut across program activities, including those involving collaborations external to the EHP.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1544","usgsCitation":"Hayes, G.P., Baltay Sundstrom, A.S., Barnhart, W.D., Blanpied, M.L., Davis, L.A., Earle, P.S., Field, N., Franks, J.M., Given, D.D., Gold, R.D., Goulet, C.A., Guy, M.M., Hardebeck, J.L., Luco, N., Pollitz, F., Ringler, A.T., Scharer, K.M., Sobieszczyk, S., Thomas, V.I., and Wolfe, C.J., 2024, U.S. Geological Survey Earthquake Hazards Program decadal science strategy, 2024–33: U.S. Geological Survey Circular 1544, 55 p., https://doi.org/10.3133/cir1544.","productDescription":"ix, 55 p.","numberOfPages":"70","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-160564","costCenters":[{"id":234,"text":"Earthquake Hazards 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U.S. Geological Survey
Mail Stop 905
12201 Sunrise Valley Drive
Reston, VA 20192