To observe real-time pier scour at three scour-critical sites in Idaho, the U.S. Geological Survey, in cooperation with Idaho Transportation Department, installed and operated fixed real-time (15-minute interval) bed elevation scour sonar sensors at three bridge locations associated with U.S. Geological Survey streamflow gaging stations for water years 2020 through 2022. Daily mean and peak streamflow conditions during the 3-year study were at or below average except for the peak flow in 2022. Each of the three sites included in the study had a coarse bed with an armored channel. Observed pier scour at each of the three sites was less than 20 percent than the stated minimum depth to the pier pile tip. The below average daily mean and peak streamflow during the study period may have resulted in below average scour.
Observed pier scour data during spring runoff (water years 2020–22) were compared to both Coarse Bed and Hydraulic Engineering Circular 18 (HEC-18) general pier scour design equation estimates to better understand how the observed pier scour data compared to design pier scour equation estimates during the same observational periods. For the 3-year study period, the Coarse Bed design equation generally overpredicted scour by about 2.5 times less than the HEC-18 general pier scour equation. The risk associated with each design equation was summarized using a reliability index to describe how each prediction might be expected to reliably overestimate scour depth. Overall, the Coarse Bed design scour equation provided more reasonable scour depth estimates than the HEC-18 general pier scour equation but with more risk to underestimating scour depth. Because these data are limited (3 sites, 3 years, and during average streamflow conditions), further research is needed to compare observed scour data to estimates predicted by the Coarse Bed design equation and other design equations.
This study demonstrated that real-time pier scour monitoring is a useful method and countermeasure at critical bridge sites. A recently developed rapid deployment real-time pier scour monitoring method may be a useful method to consider for future studies. Real-time monitoring at scour critical sites may be a useful tool to confirm previous scour evaluation estimates where site inspection scour observations conflict with the scour evaluation estimates. Considering alternative scour monitoring and evaluation methods, including the rapid estimation method, and updating pier scour calculations using the most recent coarse-bed pier scour equation may offer a more cost-effective solution to identifying and updating scour critical coding for bridges in Idaho. For scour critical bridge sites, the real-time pier scour monitoring methods used for this study provided an effective real-time local pier scour monitoring countermeasure.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245095","collaboration":"Prepared in cooperation with the Idaho Transportation Department","usgsCitation":"Fosness, R.L., and Schauer, P.V., 2024, Real-time pier scour monitoring and observations at three scour-critical sites in Idaho, water years 2020–22: U.S. Geological Survey Scientific Investigations Report 2024–5095, 23 p., https://doi.org/10.3133/sir20245095.","productDescription":"Report; vii, 23 p.p.; Data Release","onlineOnly":"Y","ipdsId":"IP-128131","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":497921,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117770.htm","linkFileType":{"id":5,"text":"html"}},{"id":463605,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5095/images"},{"id":463604,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90332LD","text":"USGS data release","description":"USGS data release","linkHelpText":"Hydraulic assessment summary at selected real-time pier scour monitoring sites in Idaho, 2020–2022"},{"id":463603,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245095/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5095"},{"id":463602,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5095/sir20245095.pdf","text":"Report","size":"3.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5095"},{"id":463601,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5095/sir20245095.jpg"},{"id":463606,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5095/sir20245095.XML"}],"country":"United States","state":"Idaho","otherGeospatial":"Boise River, Payette River, St. Joe River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.19181903119929,\n 47.27634704869766\n ],\n [\n -116.19181903119929,\n 47.2713170479783\n ],\n [\n -116.18399082696462,\n 47.2713170479783\n ],\n [\n -116.18399082696462,\n 47.27634704869766\n ],\n [\n -116.19181903119929,\n 47.27634704869766\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.98113730832642,\n 43.79475425455084\n ],\n [\n -116.98113730832642,\n 43.738517550064955\n ],\n [\n -116.90322501094207,\n 43.738517550064955\n ],\n [\n -116.90322501094207,\n 43.79475425455084\n ],\n [\n -116.98113730832642,\n 43.79475425455084\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.64141007600492,\n 43.905644822917225\n ],\n [\n -116.64141007600492,\n 43.88897692930604\n ],\n [\n -116.61377308255302,\n 43.88897692930604\n ],\n [\n -116.61377308255302,\n 43.905644822917225\n ],\n [\n -116.64141007600492,\n 43.905644822917225\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Idaho Water Science Center
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Temporally variable climates are expected to drive the evolution of thermal physiological traits that enable performance across a wider range of temperatures (i.e. climate variability hypothesis, CVH). Spatial thermal variability, however, may mediate this relationship by providing ectotherms with the opportunity to behaviourally select preferred temperatures (i.e. the Bogert effect). These antagonistic forces on thermal physiological traits may explain the mixed support for the CVH within species despite strong support among species at larger geographical scales. Here, we test the CVH as it relates to plasticity in physiological upper thermal limits (critical thermal maximum—CTmax) among populations of coastal tailed frogs (Ascaphus truei). We targeted populations that inhabit spatially homogeneous environments, reducing the potentially confounding effects of behavioural thermoregulation. We found that populations experiencing greater temporal thermal variability exhibited greater plasticity in CTmax, supporting the CVH. Interestingly, we identified only one site with spatial temperature variability and tadpoles from this site demonstrated greater plasticity than expected, suggesting the opportunity for behavioural thermoregulation can reduce support for the CVH. Overall, our results demonstrate one role of climate variability in shaping thermal plasticity among populations and provide a baseline understanding of the impact of the CVH in spatially homogeneous thermal landscapes.
","language":"English","publisher":"The Royal Society","doi":"10.1098/rspb.2024.1628","usgsCitation":"Cicchino, A.S., Ghalambor, C.K., Forester, B.R., Dunham, J., and Funk, W., 2024, Greater plasticity in CTmax with increased climate variability among populations of tailed frogs: Proceedings of the Royal Society B, v. 291, no. 2034, 20241628, https://doi.org/10.1098/rspb.2024.1628.","productDescription":"20241628","ipdsId":"IP-169449","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":497360,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11537758/","text":"External Repository"},{"id":464535,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"291","issue":"2034","noUsgsAuthors":false,"publicationDate":"2024-11-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Cicchino, Amanda S. 0000-0003-0170-829X","orcid":"https://orcid.org/0000-0003-0170-829X","contributorId":306171,"corporation":false,"usgs":false,"family":"Cicchino","given":"Amanda","email":"","middleInitial":"S.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":919451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ghalambor, Cameron K.","contributorId":93722,"corporation":false,"usgs":false,"family":"Ghalambor","given":"Cameron","email":"","middleInitial":"K.","affiliations":[{"id":6998,"text":"Department of Biology, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":919452,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Forester, Brenna R.","contributorId":261215,"corporation":false,"usgs":false,"family":"Forester","given":"Brenna","email":"","middleInitial":"R.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":919453,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dunham, Jason 0000-0002-6268-0633","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":220078,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":919454,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Funk, W. Chris 0000-0002-9254-6718","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":189580,"corporation":false,"usgs":false,"family":"Funk","given":"W. Chris","affiliations":[],"preferred":false,"id":919455,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70260413,"text":"sir20245035 - 2024 - Potential corrosivity of untreated groundwater in Louisiana","interactions":[],"lastModifiedDate":"2025-12-22T21:37:33.869696","indexId":"sir20245035","displayToPublicDate":"2024-11-06T10:30:11","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":"2024-5035","displayTitle":"Potential Corrosivity of Untreated Groundwater in Louisiana","title":"Potential corrosivity of untreated groundwater in Louisiana","docAbstract":"Corrosive groundwater can cause lead, copper, and other metals to leach from pipes and plumbing fixtures in water distribution systems. Metals, if ingested, could lead to serious health implications to the nearly 2.9 million people in Louisiana who obtain their drinking water from groundwater sources. Four indices—the Langelier Saturation Index (LSI), Ryznar Stability Index (RSI), Puckorius Scaling Index (PSI), and the Potential to Promote Galvanic Corrosion (PPGC)—in addition to an analysis which normalized the results from the existing indices, the Combined Index (CI), were used to assess the corrosivity of groundwater in Louisiana and identify areas within eight major aquifers and aquifer systems with moderate to high corrosivity potential. The purpose of this study is to provide State and local governments, public water system managers, and the nearly 500,000 private well owners in Louisiana with information needed to manage drinking-water supplies and mitigate potential health risks related to leaching of metals from water pipes and fixtures.
The average scores of untreated groundwater samples from approximately 375 wells by index are as follows: LSI, −1.28; RSI, 9.78; PSI, 9.34; and CI, 4.14. The PPGC does not produce a numerical score, but the total percentage of class counts can be used to assign a classification; overall, samples in Louisiana were classified as significant concern. The percentages of groundwater samples from wells classified as potentially corrosive, by index, are as follows: LSI, 53 percent; RSI, 94 percent; PSI, 81 percent; PPGC, 98 percent; and CI, 81 percent. The percentages of samples classified as indeterminate, by index, are as follows: LSI, 46 percent; RSI, 5 percent; PSI, 12 percent; PPGC, 0 percent; and CI, 18 percent.
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"nation\":\"USA \"}}]}","contact":"Director, Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
640 Grassmere Park, Suite 100
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","tableOfContents":"Rocks dredged from water depths of 1,605, 2,500, 3,300, and 3,400 m in the Arctic Ocean included Paleozoic continental rocks pervasively mineralized during the Neogene by hydrothermal Fe and Mn oxides. Samples were recovered in three dredge hauls from the Chukchi Borderland and one from Mendeleev Ridge north of Alaska and eastern Siberia, respectively. Many of the rocks were so pervasively altered that the protolith could not be identified, while others had volcanic, plutonic, and metamorphic protoliths. The mineralized rocks were cemented and partly to wholly replaced by the hydrothermal oxides. The Amerasia Basin, where the Chukchi Borderland and Mendeleev Ridge occur, supports a series of faults and fractures that serve as major zones of crustal weakness. We propose that the stratabound hydrothermal deposits formed through the flux of hydrothermal fluids along Paleozoic and Mesozoic faults related to block faulting along a rifted margin during minor episodes of Neogene tectonism and were later exposed at the seafloor through slumping or other gravity processes. Tectonically driven hydrothermal circulation most likely facilitated the pervasive mineralization along fault surfaces via frictional heating, hydrofracturing brecciation, and low- to moderate temperature Fe- and Mn-rich hydrothermal fluids, which mineralized the crushed, altered, and brecciated rocks.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023GC010996","usgsCitation":"Hein, J.R., Mizell, K., and Gartman, A., 2024, Neogene hydrothermal Fe- and Mn-oxide mineralization of Paleozoic continental rocks, Amerasia Basin, Arctic Ocean: Geochemistry, Geophysics, Geosystems, v. 25, no. 11, e2023GC010996, 27 p., https://doi.org/10.1029/2023GC010996.","productDescription":"e2023GC010996, 27 p.","ipdsId":"IP-167891","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":466778,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023gc010996","text":"Publisher Index Page"},{"id":463785,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Amerasia basin, Arctic Ocean","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -150,\n 72\n ],\n [\n -179.9,\n 74.5\n ],\n [\n -179.9,\n 85\n ],\n [\n -137.09374278427933,\n 80.73796302105899\n ],\n [\n -115,\n 73\n ],\n [\n -150,\n 72\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 179.9,\n 85\n ],\n [\n 165,\n 85\n ],\n [\n 172,\n 74.5\n ],\n [\n 179.9,\n 74.5\n ],\n [\n 179.9,\n 85\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"25","issue":"11","noUsgsAuthors":false,"publicationDate":"2024-11-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Hein, James R. 0000-0002-5321-899X jhein@usgs.gov","orcid":"https://orcid.org/0000-0002-5321-899X","contributorId":140835,"corporation":false,"usgs":true,"family":"Hein","given":"James","email":"jhein@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":918141,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mizell, Kira 0000-0002-5066-787X kmizell@usgs.gov","orcid":"https://orcid.org/0000-0002-5066-787X","contributorId":4914,"corporation":false,"usgs":true,"family":"Mizell","given":"Kira","email":"kmizell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":918142,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gartman, Amy 0000-0001-9307-3062 agartman@usgs.gov","orcid":"https://orcid.org/0000-0001-9307-3062","contributorId":177057,"corporation":false,"usgs":true,"family":"Gartman","given":"Amy","email":"agartman@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":918143,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70263425,"text":"70263425 - 2024 - Assessing and implementing the concept of Blue Economy in Laurentian Great Lakes fisheries: Lessons from coupled human and natural systems","interactions":[],"lastModifiedDate":"2025-02-11T15:30:07.537954","indexId":"70263425","displayToPublicDate":"2024-11-06T08:22:22","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":865,"text":"Aquatic Ecosystem Health & Management","active":true,"publicationSubtype":{"id":10}},"title":"Assessing and implementing the concept of Blue Economy in Laurentian Great Lakes fisheries: Lessons from coupled human and natural systems","docAbstract":"Inland fisheries often receive little to no attention in global discussions about sustainable development. The consequences of overlooking inland fisheries in sustainability dialogues are increasingly problematic as fisheries stressors (e.g., overharvest, species invasion, climate change, habitat modification) intensify. Elevating the global profile of inland fisheries requires an approach for quantifying and clearly conveying the ecological, economic, and societal values of these systems. One such approach involves the Blue Economy, a multifaceted concept initially used to describe the intersection of marine conservation and sustainable use of marine resources for economic growth. Although conceptually powerful, the Blue Economy has rarely been applied to inland waters and fisheries. To address this knowledge gap, we conceptualized Laurentian Great Lakes fisheries from a Blue Economy perspective. In particular, we evaluated the utility of the coupled human and natural systems (CHANS) framework for characterizing the ecological, economic, and societal values of Laurentian Great Lakes fisheries and associated contributions to the Blue Economy (e.g., human livelihoods, food security, recreation, conservation, economic prosperity). There are numerous opportunities to leverage CHANS methods (e.g., metacoupling, telecoupling) and associated mathematical models to advance fisheries science, inform fisheries management, and ultimately move toward a Blue Economy in the Laurentian Great Lakes. To that end, we demonstrated applications of CHANS methods, discussed strategies for communicating with stakeholders, and provided insights for navigating challenges to developing a Blue Economy in the Laurentian Great Lakes—a model that could be used in the African Great Lakes and other large ecosystems in the world.","language":"English","publisher":"BioOne","doi":"10.14321/aehm.027.02.74","usgsCitation":"Carlson, A.K., Leonard, N., Munawar, M., and Taylor, W., 2024, Assessing and implementing the concept of Blue Economy in Laurentian Great Lakes fisheries: Lessons from coupled human and natural systems: Aquatic Ecosystem Health & Management, v. 27, no. 2, p. 74-84, https://doi.org/10.14321/aehm.027.02.74.","productDescription":"11 p.","startPage":"74","endPage":"84","ipdsId":"IP-154893","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":481930,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Laurentian Great Lakes","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.35414421298296,\n 47.69798628255907\n ],\n [\n -92.55498641328694,\n 46.29425302711437\n ],\n [\n -86.95944652656331,\n 46.00505185703939\n ],\n [\n -88.62282303782777,\n 43.92021164632037\n ],\n [\n -87.50058525109819,\n 41.25347232284972\n ],\n [\n -85.72809349640711,\n 42.11694323111757\n ],\n [\n -85.91733849617773,\n 43.493974004776575\n ],\n [\n -84.89672932891068,\n 44.873597615031386\n ],\n [\n -83.29102906108528,\n 43.6549891230233\n ],\n [\n -83.78159647699495,\n 41.31847374004327\n ],\n [\n -79.95408136104199,\n 41.39215071916226\n ],\n [\n -75.87519895574565,\n 43.702579861752696\n ],\n [\n -79.58470723400637,\n 45.3214766230865\n ],\n [\n -84.23758896005683,\n 48.14783853442674\n ],\n [\n -88.84558873081599,\n 49.05585075889549\n ],\n [\n -91.35414421298296,\n 47.69798628255907\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"27","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-04-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Carlson, Andrew Kenneth 0000-0002-6681-0853","orcid":"https://orcid.org/0000-0002-6681-0853","contributorId":340581,"corporation":false,"usgs":true,"family":"Carlson","given":"Andrew","email":"","middleInitial":"Kenneth","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":926955,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leonard, Nancy J.","contributorId":350769,"corporation":false,"usgs":false,"family":"Leonard","given":"Nancy J.","affiliations":[{"id":20304,"text":"Pacific States Marine Fisheries Commission","active":true,"usgs":false}],"preferred":false,"id":926956,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Munawar, Mohiuddin","contributorId":350770,"corporation":false,"usgs":false,"family":"Munawar","given":"Mohiuddin","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":926957,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taylor, William W.","contributorId":350772,"corporation":false,"usgs":false,"family":"Taylor","given":"William W.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":926958,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70261286,"text":"70261286 - 2024 - GNSS reflectometry from low-cost sensors for continuous in situ contemporaneous glacier mass balance and flux divergence","interactions":[],"lastModifiedDate":"2024-12-26T16:59:57.220714","indexId":"70261286","displayToPublicDate":"2024-11-06T08:03:04","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2328,"text":"Journal of Glaciology","active":true,"publicationSubtype":{"id":10}},"title":"GNSS reflectometry from low-cost sensors for continuous in situ contemporaneous glacier mass balance and flux divergence","docAbstract":"Recent advances in remote sensing have produced global glacier surface elevation change data. Parsing these elevation change signals into contributions from the climate (i.e. climatic mass balance) and glacier dynamics (i.e. flux divergence) is critical to enhance our process-based understanding of glacier change. In this study, we evaluate three approaches for direct, continuous measurements of the climatic mass balance, flux divergence, and elevation change at a site on Gulkana Glacier in Alaska using low-cost GNSS sensors, GNSS interferometric reflectometry (GNSS-IR), banded ablation stakes with time-lapse cameras, and combinations thereof. Cumulative climatic mass balance over the season was 4.85 m and the three approaches were within 0.08 m through early July before the snowpack melted, and within 0.28 m through mid-August. The flux divergence increased from 0.52 ± 0.03 cm d-1 before June 3 to roughly 0.73 cm d-1 after June 27. We demonstrate a single GNSS system fixed atop an ablation stake can measure contemporaneous climatic mass balance, flux divergence, and elevation change based on the antenna’s position and GNSS-IR techniques. The ability of these systems to measure glacier mass balance and flux divergence offers unique opportunities for year-round observations on mountain glaciers in the future.
","language":"English","publisher":"Cambridge University Press","doi":"10.1017/jog.2024.54","usgsCitation":"Wells, A., Rounce, D.R., Sass, L., Florentine, C., Garbo, A., Baker, E., and McNeil, C., 2024, GNSS reflectometry from low-cost sensors for continuous in situ contemporaneous glacier mass balance and flux divergence: Journal of Glaciology, v. 70, e5, 12 p., https://doi.org/10.1017/jog.2024.54.","productDescription":"e5, 12 p.","ipdsId":"IP-164695","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":466780,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/jog.2024.54","text":"Publisher Index Page"},{"id":464746,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Gulkana Glacier","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -145.68362267602475,\n 63.35411541798791\n ],\n [\n -145.68362267602475,\n 63.196253345505795\n ],\n [\n -145.0204214654105,\n 63.196253345505795\n ],\n [\n -145.0204214654105,\n 63.35411541798791\n ],\n [\n -145.68362267602475,\n 63.35411541798791\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"70","noUsgsAuthors":false,"publicationDate":"2024-11-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Wells, Albin","contributorId":346929,"corporation":false,"usgs":false,"family":"Wells","given":"Albin","email":"","affiliations":[{"id":12943,"text":"Carnegie Mellon University","active":true,"usgs":false}],"preferred":false,"id":920224,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rounce, David R.","contributorId":290361,"corporation":false,"usgs":false,"family":"Rounce","given":"David","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":920225,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sass, Louis C. 0000-0003-4677-029X lsass@usgs.gov","orcid":"https://orcid.org/0000-0003-4677-029X","contributorId":3555,"corporation":false,"usgs":true,"family":"Sass","given":"Louis C.","email":"lsass@usgs.gov","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":920226,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Florentine, Caitlyn 0000-0002-7028-0963","orcid":"https://orcid.org/0000-0002-7028-0963","contributorId":205964,"corporation":false,"usgs":true,"family":"Florentine","given":"Caitlyn","email":"","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":920227,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Garbo, Adam","contributorId":346930,"corporation":false,"usgs":false,"family":"Garbo","given":"Adam","email":"","affiliations":[{"id":39169,"text":"University of Ottawa","active":true,"usgs":false}],"preferred":false,"id":920228,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Baker, Emily 0000-0002-0938-3496 ehbaker@usgs.gov","orcid":"https://orcid.org/0000-0002-0938-3496","contributorId":200570,"corporation":false,"usgs":true,"family":"Baker","given":"Emily","email":"ehbaker@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":920229,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McNeil, Christopher J. 0000-0003-4170-0428 cmcneil@usgs.gov","orcid":"https://orcid.org/0000-0003-4170-0428","contributorId":5803,"corporation":false,"usgs":true,"family":"McNeil","given":"Christopher J.","email":"cmcneil@usgs.gov","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":920230,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70261558,"text":"70261558 - 2024 - Insights on arc magmatic systems drawn from natural melt inclusions and crystallization experiments at PH2O=800 MPa under oxidizing conditions","interactions":[],"lastModifiedDate":"2024-12-16T14:12:30.156142","indexId":"70261558","displayToPublicDate":"2024-11-06T06:57:05","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2420,"text":"Journal of Petrology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Insights on arc magmatic systems drawn from natural melt inclusions and crystallization experiments at PH2O=800 MPa under oxidizing conditions","title":"Insights on arc magmatic systems drawn from natural melt inclusions and crystallization experiments at PH2O=800 MPa under oxidizing conditions","docAbstract":"Whole rock compositions at Buldir Volcano, western Aleutian arc, record a strong, continuous trend of iron depletion with decreasing MgO, classically interpreted as a calc-alkaline liquid line of descent. In contrast, olivine-hosted melt inclusions have higher total iron (FeO*) than whole rocks and show little change in FeO* with decreasing MgO. To investigate this discrepancy and determine the conditions required for strong iron depletion, we conducted oxygen fugacity (ƒO2) buffered, water-saturated crystallization experiments at 800 MPa and ƒO2 = QFM + 1.6 ± 0.4 (1σ) (where QFM refers to the quartz-fayalite-magnetite buffer) on a high-Al, basaltic starting material modeled after a Buldir lava. Experimental conditions were informed by olivine-hosted melt inclusions that record minimum entrapment pressures as high as 570 MPa, >6 wt % H2O, and ƒO2 of QFM + 1.4 (±0.2), making Buldir one of the most oxidized and wettest arc volcanoes documented globally. The experiments produce melts with Si-enrichment and Fe-depletion signatures characteristic of evolved, calc-alkaline magmas at the lowest MgO, although FeO* remains roughly constant over most of the experimental temperature range. Experiments saturate CrAl-spinel and olivine at 1160°C, followed by clinopyroxene and Al-spinel at 1085°C, hornblende at 1060°C, and, finally, plagioclase and magnetite between 1040°C and 960°C. Hornblende crystallization, not magnetite, generates the largest increase in SiO2 and largest decrease in FeO* in coexisting melts. Compositions of melt inclusions are consistent with experimental melts and reflect crystallization of a basaltic parent magma at high PH2O. In contrast, the whole rock compositional trends are influenced by magma mixing and phenocryst redistribution and accumulation. The crystallization experiments and natural liquids (melt inclusions and groundmass glass) from Buldir suggest that for an oxidized, hydrous primary basalt starting composition, significant Fe depletion from the melt will not occur until intermediate to late stages of magma crystallization (< ~4.5 wt % MgO). We conclude that the Buldir whole rock trend cannot be reproduced by crystallization at arc-relevant oxygen fugacities and is not a true liquid line of descent, warranting caution when interpreting volcanic trends globally.
","language":"English","publisher":"Oxford University Press","doi":"10.1093/petrology/egae117","usgsCitation":"Andrys, J.L., Cottrell, E., Kelley, K., Waters, L.E., and Coombs, M.L., 2024, Insights on arc magmatic systems drawn from natural melt inclusions and crystallization experiments at PH2O=800 MPa under oxidizing conditions: Journal of Petrology, v. 65, no. 12, egae117, 23 p., https://doi.org/10.1093/petrology/egae117.","productDescription":"egae117, 23 p.","ipdsId":"IP-166029","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":505924,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/petrology/egae117","text":"Publisher Index Page"},{"id":465141,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"65","issue":"12","noUsgsAuthors":false,"publicationDate":"2024-11-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Andrys, Janine L.","contributorId":347200,"corporation":false,"usgs":false,"family":"Andrys","given":"Janine","email":"","middleInitial":"L.","affiliations":[{"id":52668,"text":"Boise State","active":true,"usgs":false}],"preferred":false,"id":921044,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cottrell, Elizabeth","contributorId":347203,"corporation":false,"usgs":false,"family":"Cottrell","given":"Elizabeth","affiliations":[{"id":36606,"text":"Smithsonian Institution","active":true,"usgs":false}],"preferred":false,"id":921045,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelley, Katherine A.","contributorId":347206,"corporation":false,"usgs":false,"family":"Kelley","given":"Katherine A.","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":921046,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waters, Laura E.","contributorId":347209,"corporation":false,"usgs":false,"family":"Waters","given":"Laura","email":"","middleInitial":"E.","affiliations":[{"id":34868,"text":"New Mexico Institute of Mining and Technology","active":true,"usgs":false}],"preferred":false,"id":921047,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coombs, Michelle L. 0000-0002-6002-6806 mcoombs@usgs.gov","orcid":"https://orcid.org/0000-0002-6002-6806","contributorId":2809,"corporation":false,"usgs":true,"family":"Coombs","given":"Michelle","email":"mcoombs@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":921048,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70261465,"text":"70261465 - 2024 - Jupyter notebooks for parameter estimation, uncertainty analysis, and optimization with the PEST++","interactions":[],"lastModifiedDate":"2024-12-11T17:14:01.825087","indexId":"70261465","displayToPublicDate":"2024-11-05T10:08:24","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Jupyter notebooks for parameter estimation, uncertainty analysis, and optimization with the PEST++","docAbstract":"No abstract available.
","language":"English","publisher":"National Groundwater Association","doi":"10.1111/gwat.13447","usgsCitation":"Ford, C.M., Ha, W.S., Markovich, K.H., and Zwinger, J., 2024, Jupyter notebooks for parameter estimation, uncertainty analysis, and optimization with the PEST++: Groundwater, v. 62, no. 6, p. 825-829, https://doi.org/10.1111/gwat.13447.","productDescription":"5 p.","startPage":"825","endPage":"829","ipdsId":"IP-159081","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":466781,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gwat.13447","text":"Publisher Index Page"},{"id":465026,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-11-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Ford, Chanse M. 0000-0002-7159-5051","orcid":"https://orcid.org/0000-0002-7159-5051","contributorId":347040,"corporation":false,"usgs":true,"family":"Ford","given":"Chanse","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":920648,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ha, Wonsook S. 0000-0002-7252-698X","orcid":"https://orcid.org/0000-0002-7252-698X","contributorId":266139,"corporation":false,"usgs":true,"family":"Ha","given":"Wonsook","email":"","middleInitial":"S.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":920649,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Markovich, Katherine H. 0000-0002-4455-8255","orcid":"https://orcid.org/0000-0002-4455-8255","contributorId":221065,"corporation":false,"usgs":true,"family":"Markovich","given":"Katherine","middleInitial":"H.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":true,"id":920650,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zwinger, Johanna 0009-0000-7867-2825","orcid":"https://orcid.org/0009-0000-7867-2825","contributorId":347041,"corporation":false,"usgs":false,"family":"Zwinger","given":"Johanna","email":"","affiliations":[{"id":49206,"text":"INTERA Incorporated","active":true,"usgs":false}],"preferred":false,"id":920651,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70260627,"text":"70260627 - 2024 - Trends and environmental impacts of virtual water trade","interactions":[],"lastModifiedDate":"2024-12-10T15:33:04.350122","indexId":"70260627","displayToPublicDate":"2024-11-05T09:58:38","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7460,"text":"Nature Reviews Earth & Environment","active":true,"publicationSubtype":{"id":10}},"title":"Trends and environmental impacts of virtual water trade","docAbstract":"Virtual water describes water embedded in the production of goods and offers meaningful insights about the complex interplay between water, trade and sustainability. In this Review, we examine the trends, major players, traded products and key drivers of virtual water trade (VWT). Roughly 20% of water used in global food production is traded virtually rather than domestically consumed. As such, agriculture dominates VWT, with livestock products, wheat, maize, soybean, oil palm, coffee and cocoa contributing over 70% of total VWT. These products are also driving VWT growth, the volume of which has increased 2.9 times from 1986 to 2022. However, the countries leading VWT contributions (with China, the United States, the Netherlands, Germany and India accounting for 34% of the global VWT in 2022) have remained relatively stable over time, albeit with China becoming an increasingly important importer. VWT can mitigate the effects of water scarcity and food insecurity, although there are concerns about the disconnect between consumers and the environmental impacts of their choices, and unsustainable resource exploitation. Indeed, approximately 16% of unsustainable water use and 11% of global groundwater depletion are virtually traded. Future VWT analyses must consider factors such as water renewability, water quality, climate change impacts and socioeconomic implications.
","language":"English","publisher":"Nature","doi":"10.1038/s43017-024-00605-2","usgsCitation":"Mekonnen, M.M., Kebede, M.M., Demeke, B.W., Carr, J., Chapagain, A., Dalin, C., Debaere, P., D’Odorico, P., Marston, L., Ray, C., Rosa, L., and Zhuo, L., 2024, Trends and environmental impacts of virtual water trade: Nature Reviews Earth & Environment, v. 5, p. 890-905, https://doi.org/10.1038/s43017-024-00605-2.","productDescription":"16 p.","startPage":"890","endPage":"905","ipdsId":"IP-160482","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":496765,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hal.science/hal-05368702","text":"External Repository"},{"id":463764,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","noUsgsAuthors":false,"publicationDate":"2024-11-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Mekonnen, Mesfin M.","contributorId":346068,"corporation":false,"usgs":false,"family":"Mekonnen","given":"Mesfin","email":"","middleInitial":"M.","affiliations":[{"id":37195,"text":"The University of Alabama","active":true,"usgs":false}],"preferred":false,"id":917929,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kebede, Mahlet M.","contributorId":346069,"corporation":false,"usgs":false,"family":"Kebede","given":"Mahlet","email":"","middleInitial":"M.","affiliations":[{"id":37195,"text":"The University of Alabama","active":true,"usgs":false}],"preferred":false,"id":917930,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Demeke, Betelhem W.","contributorId":346070,"corporation":false,"usgs":false,"family":"Demeke","given":"Betelhem","email":"","middleInitial":"W.","affiliations":[{"id":37195,"text":"The University of Alabama","active":true,"usgs":false}],"preferred":false,"id":917931,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carr, Joel A. 0000-0002-9164-4156 jcarr@usgs.gov","orcid":"https://orcid.org/0000-0002-9164-4156","contributorId":168645,"corporation":false,"usgs":true,"family":"Carr","given":"Joel A.","email":"jcarr@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":917932,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chapagain, Ashok","contributorId":346073,"corporation":false,"usgs":false,"family":"Chapagain","given":"Ashok","email":"","affiliations":[{"id":28034,"text":"Pacific Institute","active":true,"usgs":false}],"preferred":false,"id":917933,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dalin, Carole","contributorId":215134,"corporation":false,"usgs":false,"family":"Dalin","given":"Carole","email":"","affiliations":[{"id":39184,"text":"Institute for Sustainable Resources, University College, London, UK","active":true,"usgs":false}],"preferred":false,"id":917934,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Debaere, Peter","contributorId":346078,"corporation":false,"usgs":false,"family":"Debaere","given":"Peter","email":"","affiliations":[{"id":25492,"text":"University of Virginia","active":true,"usgs":false}],"preferred":false,"id":917935,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"D’Odorico, Paolo","contributorId":209957,"corporation":false,"usgs":false,"family":"D’Odorico","given":"Paolo","email":"","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":917936,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Marston, Landon 0000-0001-9116-1691","orcid":"https://orcid.org/0000-0001-9116-1691","contributorId":239626,"corporation":false,"usgs":false,"family":"Marston","given":"Landon","email":"","affiliations":[{"id":47941,"text":"Department of Civil Engineering, Kansas State University","active":true,"usgs":false}],"preferred":false,"id":917937,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ray, Chittaranjan","contributorId":194209,"corporation":false,"usgs":false,"family":"Ray","given":"Chittaranjan","email":"","affiliations":[],"preferred":false,"id":917938,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Rosa, Lorenzo","contributorId":209959,"corporation":false,"usgs":false,"family":"Rosa","given":"Lorenzo","email":"","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":917939,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Zhuo, La","contributorId":346083,"corporation":false,"usgs":false,"family":"Zhuo","given":"La","email":"","affiliations":[{"id":82762,"text":"Northwest A&F University, Yangling; Chinese Academy of Sciences & Ministry of Water Resources","active":true,"usgs":false}],"preferred":false,"id":917940,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70268340,"text":"70268340 - 2024 - River suspended-sand flux computation with uncertainty estimation using water samples and high-resolution ADCP measurements","interactions":[],"lastModifiedDate":"2025-06-23T14:40:02.847232","indexId":"70268340","displayToPublicDate":"2024-11-05T09:37:01","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7942,"text":"Earth Surface Dynamics","active":true,"publicationSubtype":{"id":10}},"title":"River suspended-sand flux computation with uncertainty estimation using water samples and high-resolution ADCP measurements","docAbstract":"Measuring suspended-sand fluxes in rivers remains a scientific challenge due to their high spatial and temporal variability. To capture the vertical and lateral gradients of concentration in the cross-section, measurements with point samples are performed. However, the uncertainty related to these measurements is rarely evaluated, as few studies of the major sources of error exist. Therefore, the aim of this study is to develop a method to determine the cross-sectional sand flux and estimate its uncertainty. This SDC (for sand discharge computing) method combines suspended-sand concentrations from point samples with ADCP (acoustic Doppler current profiler) high-resolution depth and velocity measurements. The MAP (for multitransect averaged profile) method allows obtaining an average of several ADCP transects on a regular grid, including the unmeasured areas. The suspended-sand concentrations are integrated vertically by fitting a theoretical exponential suspended-sand profile to the data using Bayesian modeling. The lateral integration is based on the water depth as a proxy for the local bed shear stress to evaluate the bed concentration and sediment diffusion along the river cross-section. The estimation of uncertainty combines ISO standards and semi-empirical methods with a Bayesian approach to estimate the uncertainty due to the vertical integration. The new method is applied to data collected in four rivers under various hydro-sedimentary conditions: the Colorado, Rhône, Isère, and Amazon rivers, with computed flux uncertainties ranging between 18 % and 32 %. The relative difference between the suspended-sand flux in 21 cases calculated with the proposed SDC method compared to the International Organization for Standardization (ISO) 4363 standard method ranges between −40 % and +23 %. This method that comes with a flexible, open-source code is the first to propose an applicable uncertainty estimation that could be adapted to other flux computation methods.
","language":"English","publisher":"European Geophysical Union","doi":"10.5194/esurf-12-1243-2024","usgsCitation":"Marggraf, J., Dramais, G., Le Coz, J., Calmel, B., Camenen, B., Topping, D.J., Santini, W., Pierrefeu, G., and Lauters, F., 2024, River suspended-sand flux computation with uncertainty estimation using water samples and high-resolution ADCP measurements: Earth Surface Dynamics, v. 12, no. 6, p. 1243-1266, https://doi.org/10.5194/esurf-12-1243-2024.","productDescription":"24 p.","startPage":"1243","endPage":"1266","ipdsId":"IP-123898","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":491495,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/esurf-12-1243-2024","text":"Publisher Index Page"},{"id":491101,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-11-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Marggraf, Jessica","contributorId":350702,"corporation":false,"usgs":false,"family":"Marggraf","given":"Jessica","affiliations":[{"id":83813,"text":"RiverLy, INRAE, 5 Rue de la Doua, Villeurbanne, 69100, France","active":true,"usgs":false}],"preferred":false,"id":940855,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dramais, Guillaume","contributorId":357236,"corporation":false,"usgs":false,"family":"Dramais","given":"Guillaume","affiliations":[{"id":85354,"text":"1RiverLy, INRAE, 5 Rue de la Doua, Villeurbanne, 69100, France","active":true,"usgs":false}],"preferred":false,"id":940856,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Le Coz, Jerome","contributorId":350703,"corporation":false,"usgs":false,"family":"Le Coz","given":"Jerome","affiliations":[{"id":83813,"text":"RiverLy, INRAE, 5 Rue de la Doua, Villeurbanne, 69100, France","active":true,"usgs":false}],"preferred":false,"id":940857,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Calmel, Blaise","contributorId":357237,"corporation":false,"usgs":false,"family":"Calmel","given":"Blaise","affiliations":[{"id":85354,"text":"1RiverLy, INRAE, 5 Rue de la Doua, Villeurbanne, 69100, France","active":true,"usgs":false}],"preferred":false,"id":940858,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Camenen, Benoit","contributorId":238956,"corporation":false,"usgs":false,"family":"Camenen","given":"Benoit","email":"","affiliations":[{"id":47840,"text":"Scientist, IRSTEA, Lyon, France","active":true,"usgs":false}],"preferred":false,"id":940859,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Topping, David J. 0000-0002-2104-4577","orcid":"https://orcid.org/0000-0002-2104-4577","contributorId":215068,"corporation":false,"usgs":true,"family":"Topping","given":"David","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":940860,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Santini, William","contributorId":357238,"corporation":false,"usgs":false,"family":"Santini","given":"William","affiliations":[{"id":85355,"text":"IRD-GET, Institut de Recherche pour le Développement, Laboratoire GET (IRD, CNRS, UPS, CNES), Toulouse, France","active":true,"usgs":false}],"preferred":false,"id":940861,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pierrefeu, Gilles","contributorId":238958,"corporation":false,"usgs":false,"family":"Pierrefeu","given":"Gilles","email":"","affiliations":[{"id":47841,"text":"Senior Engineer, CNR, Lyon, France","active":true,"usgs":false}],"preferred":false,"id":940862,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lauters, François","contributorId":357239,"corporation":false,"usgs":false,"family":"Lauters","given":"François","affiliations":[{"id":85356,"text":"Service Etudes Eau Environnement, EDF, 134 Chemin de l'étang, Saint Martin Le Vinoux, 38950, France","active":true,"usgs":false}],"preferred":false,"id":940863,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70260840,"text":"70260840 - 2024 - Formation of vertical columnar seismic structures and seafloor depressions by groundwater discharge in the drowned Miami Terrace platform and overlying deep-water carbonates, southeastern Florida","interactions":[],"lastModifiedDate":"2024-11-12T15:30:01.02245","indexId":"70260840","displayToPublicDate":"2024-11-05T09:24:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Formation of vertical columnar seismic structures and seafloor depressions by groundwater discharge in the drowned Miami Terrace platform and overlying deep-water carbonates, southeastern Florida","docAbstract":"Making timely management decisions is often hindered by uncertainty. Monitoring reduces two key types of uncertainty. First, it serves to reduce structural uncertainty of how the system works and provides support for expectations of how a system works. Second, it serves to reduce parametric uncertainty of the drivers of system dynamics. By combining monitoring data and quantitative models, we can reduce structural and parametric uncertainty. To demonstrate this, we focus on the Shenandoah salamander (Plethodon shenandoah), a United States Federally Endangered Species. Early work suggested that P. shenandoah extinction risk results from competition with a conspecific (Plethodon cinereus). However, more recent work has found equivocal support for this claim, instead suggesting that abiotic factors, such as moisture and temperature, drive P. shenandoah persistence. Using long-term monitoring data, we find that while competition may play a part in P. shenandoah extinction risk, measures of surface moisture are better predictors of occupancy dynamics. Further, we find decreased detection rates of P. shenandoah when P. cinereus is present, suggesting a conflation of detection probability with actual competition, which cautions against making inference from unadjusted observations of occurrence. Using multiple lines of inquiry allows for more robust understanding of system drivers in the face of high uncertainty, increasing opportunities to manage extinction risk.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s00442-024-05631-x","usgsCitation":"Werba, J.A., DiRenzo, G.V., Brand, A., and Campbell Grant, E.H., 2024, Reducing uncertainty with iterative model updating parses effects of competition and environment on salamander occupancy: Oecologia, v. 206, p. 305-316, https://doi.org/10.1007/s00442-024-05631-x.","productDescription":"12 p.","startPage":"305","endPage":"316","ipdsId":"IP-148195","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":464231,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Blue Ridge Mountains, Shenandoah National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -78.60935855780521,\n 38.68748637317097\n ],\n [\n -78.60935855780521,\n 38.31093059502825\n ],\n [\n -78.13191468279777,\n 38.31093059502825\n ],\n [\n -78.13191468279777,\n 38.68748637317097\n ],\n [\n -78.60935855780521,\n 38.68748637317097\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"206","noUsgsAuthors":false,"publicationDate":"2024-11-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Werba, Jo Avital 0000-0002-5295-7790","orcid":"https://orcid.org/0000-0002-5295-7790","contributorId":338728,"corporation":false,"usgs":true,"family":"Werba","given":"Jo","email":"","middleInitial":"Avital","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":918691,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DiRenzo, Graziella Vittoria 0000-0001-5264-4762","orcid":"https://orcid.org/0000-0001-5264-4762","contributorId":243404,"corporation":false,"usgs":true,"family":"DiRenzo","given":"Graziella","email":"","middleInitial":"Vittoria","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":918692,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brand, Adrianne 0000-0003-2664-0041","orcid":"https://orcid.org/0000-0003-2664-0041","contributorId":304281,"corporation":false,"usgs":true,"family":"Brand","given":"Adrianne","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":918693,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":918694,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70260480,"text":"ofr20241060 - 2024 - Groundwater quality and groundwater levels in Dougherty County, Georgia, April 2020 through January 2023","interactions":[],"lastModifiedDate":"2025-12-22T21:38:59.48475","indexId":"ofr20241060","displayToPublicDate":"2024-11-05T09:04:47","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":"2024-1060","displayTitle":"Groundwater Quality and Groundwater Levels in Dougherty County, Georgia, April 2020 Through January 2023","title":"Groundwater quality and groundwater levels in Dougherty County, Georgia, April 2020 through January 2023","docAbstract":"The Upper Floridan aquifer is the uppermost reliable groundwater source in southwest Georgia. The aquifer lies on top of the Claiborne, Clayton, and Cretaceous aquifers, all of which exhibited water-level declines in the 1960s and 1970s. The U.S. Geological Survey has been working cooperatively with Albany Utilities to monitor groundwater quality and availability in these aquifers since 1977.
Flow direction in the Upper Floridan aquifer is to the south and toward the Flint River. During the past 3 years, water levels varied above and below period-of-record median values. Water levels in the Upper Floridan aquifer were primarily above or at median levels during 2020 and 2021 and at or below median levels during 2022. Water levels in the Claiborne aquifer were above median levels, whereas water levels in the Clayton aquifer were at or below median levels, and in the Cretaceous aquifer system were close to median levels.
During January 2021, eight wells were sampled for major ions, including nitrate plus nitrite as nitrogen (N). Nitrate plus nitrite as N concentrations ranged from 2.3 to 10.5 milligrams per liter (mg/L). During December 2021, seven wells were sampled for major ions, including nitrate plus nitrite as N. Nitrate plus nitrite as N concentrations ranged from 3.9 to 9.9 mg/L. During November 2022, eight wells were sampled for major ions, including nitrate plus nitrite as N. Nitrate plus nitrite as N concentrations ranged from 3.9 to 10.0 mg/L. Two wells were also sampled for per- and polyfluoroalkyl substances during November 2022.
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U.S. Geological Survey
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Contact Us- USGS Publications Warehouse
","tableOfContents":"Premise: Ceanothus (Rhamnaceae) is a large genus of shrubs that dominate California chaparral and are resilient to fires. Persistence is ensured by resprouting and/or seedling recruitment from dormant seed banks. Some species do both and others, the obligate seeders, are entirely dependent on seedling recruitment. The distribution of these two modes within the genus is poorly documented.
Methods: We used all available publications that document species responses to fire and filled most gaps in the literature based on extensive field studies of more than 60 recent wildfires in California.
Results: The genus is divided into two subgenera, Ceanothus and Cerastes. Ceanothus is widely considered to comprise mostly resprouting species and Cerastes to consist of only obligate seeders. The subgenus Ceanothus includes resprouting species throughout their range from the eastern United States and Midwest to western United States. Within the California Floristic Province (CFP), a few species are unique in producing massive lignotubers that develop from repeated fires; however, within the CFP, the majority of species in this subgenus do not resprout and are obligate seeders. Two have disjunct subspecies that are facultative seeders or obligate seeders.
Conclusions: Previously, speciation in this genus was contended to have occurred in the late Miocene within the CFP. The syndrome of obligate seeding is most strongly represented in this region, and we hypothesize that evolution of this syndrome was a response to increased predictability of fire driven by the Mediterranean climate and the long interval between fires.
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Using remote sensing data and hydrological modeling, the 1-km runoff field simulated by VegET, and routed with mizuRoute, covers over 64,000 river segments in Africa. The VegET model simulates runoff based on vegetation and soil moisture dynamics, while mizuRoute processes this runoff through a detailed river network. Performance metrics show strong model reliability, with R² ranging from 0.5 to 0.9, NSE between 0.6 and 0.9, and KGE from 0.5 to 0.8. The total annual average discharge for Africa is quantified at 3238.1 km³.year-1, with contributions to various oceanic basins: 989.9 km³.year-1 to the North Atlantic, primarily from West African rivers like the Senegal, Gambia, Volta, and Niger; 1313.7 km³.year-1 to the South Atlantic, largely from the Congo River; 212.5 km³.year-1 to the Mediterranean Sea, predominantly from the Nile River; and 722.0 km³.year-1 to the Indian Ocean, with substantial inputs from rivers such as the Zambezi. This VegDischarge v1 is valuable for policymakers, stakeholders, and researchers to better understand water availability, its temporal and spatial variations, that impact water-related infrastructure planning, sustainable resource allocation, and the development of climate resilience mitigation strategies.
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The Adirondack Park in New York is a large, mountainous region with many low nutrient lakes. There is a gap in understanding regarding whether cyanoHAB reporting data are truly reflective of the susceptibility of lakes to develop bloom conditions. We evaluated lakes with and without documented cyanoHABs for cyanotoxin synthetase gene quantification, phytoplankton community composition, and akinete abundance to identify conditions associated with the observation of cyanoHABs. We analyzed: (1) contributions of cyanobacteria to the overall phytoplankton community; (2) differences in cyanobacterial communities and the presence of cyanotoxin synthetase genes; and (3) lake physical and geomorphological attributes as drivers of differences in cyanobacteria occurrence. Two sample types (water and sediment) were collected from two sample locations (nearshore and open water) in five lakes in 2021. We found cyanobacteria in all lakes and sample locations. Phytoplankton biovolume and cyanotoxin synthetase genes differed among lakes and by cyanoHAB history. Samples from lakes with documented blooms were associated with marginally higher total phosphorus. Non-metric multidimensional scaling was used to identify which environmental factors influenced community structure. Our study demonstrates the importance of multifaceted approaches to detect cyanobacteria that may only be apparent during ephemeral bloom events and the similarities among lakes with and without a history of bloom reports. This work contributes to a better understanding of cyanoHAB occurrence in Adirondack lakes, and conditions that may cause low nutrient lakes to be susceptible to cyanoHABs.","language":"English","publisher":"Taylor & Francis Online","doi":"10.1080/10402381.2024.2406283","usgsCitation":"Gorney, R.M., Nystrom, E.A., Stouder, M.D., St. Amand, A.E., Suave, C., Clark, D., Stelzer, E., Givens, C.E., and Graham, J.L., 2024, An evaluation of cyanobacterial occurrence and bloom development in Adirondack lakes: Lake and Reservoir Management, v. 40, no. 4, p. 373-389, https://doi.org/10.1080/10402381.2024.2406283.","productDescription":"17 p.","startPage":"373","endPage":"389","ipdsId":"IP-157540","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":466785,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/10402381.2024.2406283","text":"Publisher Index 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This tool also allows users to conduct a variety of analyses ranging from large-scale data processing and export to detailed and complex flow scenario manipulation around water rights and alternative climate futures.
","language":"English","publisher":"One Water Solutions Institute","doi":"10.25675/10217/239641","usgsCitation":"Wible, T., Holmquist-Johnson, C., Klingel, H., Morrison, R.R., Merritt, D., and Korsa, M., 2024, Environmental Flows for Riverine EcoSystem Habitats (E-FRESH) decision support tool user guide, 74 p., https://doi.org/10.25675/10217/239641.","productDescription":"74 p.","ipdsId":"IP-169441","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":464207,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wible, Tyler","contributorId":346297,"corporation":false,"usgs":false,"family":"Wible","given":"Tyler","email":"","affiliations":[{"id":82824,"text":"CSU One Water Solutions Institute","active":true,"usgs":false}],"preferred":false,"id":918610,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holmquist-Johnson, Christopher 0000-0002-2782-7687","orcid":"https://orcid.org/0000-0002-2782-7687","contributorId":210644,"corporation":false,"usgs":true,"family":"Holmquist-Johnson","given":"Christopher","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":918611,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klingel, Heidi","contributorId":346298,"corporation":false,"usgs":false,"family":"Klingel","given":"Heidi","email":"","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":918612,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morrison, Ryan R.","contributorId":198245,"corporation":false,"usgs":false,"family":"Morrison","given":"Ryan","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":918613,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Merritt, David","contributorId":189308,"corporation":false,"usgs":false,"family":"Merritt","given":"David","affiliations":[],"preferred":false,"id":918614,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Korsa, Matthew","contributorId":346299,"corporation":false,"usgs":false,"family":"Korsa","given":"Matthew","email":"","affiliations":[{"id":82824,"text":"CSU One Water Solutions Institute","active":true,"usgs":false}],"preferred":false,"id":918615,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70265940,"text":"70265940 - 2024 - Long-term trends in abundance and potential drivers for eight species of coastal birds in the U.S. South Atlantic","interactions":[],"lastModifiedDate":"2025-04-22T17:18:09.018356","indexId":"70265940","displayToPublicDate":"2024-11-04T12:13:22","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5094,"text":"Regional Studies in Marine Science","onlineIssn":"2352-4855","active":true,"publicationSubtype":{"id":10}},"title":"Long-term trends in abundance and potential drivers for eight species of coastal birds in the U.S. South Atlantic","docAbstract":"The U.S. South Atlantic coastal region is used by many marine birds for foraging, reproduction, and migration. We developed standardized indices of relative abundance from long–term (1980–2016), semi-structured monitoring data (eBird) for eight species: Brown Pelican (Pelecanus occidentalis), Double-Crested Cormorant (Nannopterum auritum), White Ibis (Eudocimus albus), Wood Stork (Mycteria americana), Piping Plover (Charadrius melodus), American Oystercatcher (Haematopus palliatus), Clapper Rail (Rallus crepitans), and Northern Gannet (Morus bassanus). Following a period of stable or declining abundance from the 1980s through the 1990s, most species have shown stable or slightly upward trends through the late 2000s; Brown Pelican and Piping Plover have shown some evidence of recent declines. Species–specific correlations between abundance indices developed from presence/absence data and those developed from count data were positive for all species and ranged from 0.53 to 0.86. Dynamic factor analysis identified common trends in abundance among several species, in particular, Brown Pelican, Double–Crested Cormorant, and White Ibis. Model performance was improved with inclusion of an indicator of sea level rise, but not forage fish abundance or temperature, indicating habitat availability mediated by changing water levels may explain some of the underlying abundance trends. Our results provide baseline information on long–term trends for several important coastal birds that can help inform research, monitoring and conservation efforts in the U.S. South Atlantic region.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rsma.2024.103886","usgsCitation":"Craig, J., Siegfried, K., Cheshire, R., Karnauskas, M., and Jodice, P.G., 2024, Long-term trends in abundance and potential drivers for eight species of coastal birds in the U.S. South Atlantic: Regional Studies in Marine Science, v. 80, 103886, 14 p., https://doi.org/10.1016/j.rsma.2024.103886.","productDescription":"103886, 14 p.","ipdsId":"IP-159778","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":490995,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rsma.2024.103886","text":"Publisher Index Page"},{"id":484853,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida, Georgia, North Carolina, South Carolina","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -80.63812689012559,\n 24.981195366830136\n ],\n [\n -79.74779294326453,\n 26.53588076270711\n ],\n [\n -81.03973835977342,\n 29.95801011198671\n ],\n [\n -81.11631302916135,\n 31.396072044056297\n ],\n [\n -79.30822669011008,\n 33.150807571917255\n ],\n [\n -76.01718491915142,\n 34.68241756177868\n ],\n [\n -75.87971328976948,\n 36.709011056016635\n ],\n [\n -78.23890913908112,\n 36.73325180728209\n ],\n [\n -80.34864182194866,\n 34.55119531258265\n ],\n [\n -83.32101866451728,\n 32.39789594150341\n ],\n [\n -81.81661133200153,\n 28.946064586607065\n ],\n [\n -80.63812689012559,\n 24.981195366830136\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"80","noUsgsAuthors":false,"publicationDate":"2024-11-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Craig, J.K.","contributorId":353621,"corporation":false,"usgs":false,"family":"Craig","given":"J.K.","affiliations":[{"id":36612,"text":"National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":934109,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Siegfried, K.I.","contributorId":353620,"corporation":false,"usgs":false,"family":"Siegfried","given":"K.I.","affiliations":[{"id":36612,"text":"National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":934108,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cheshire, R.T.","contributorId":353622,"corporation":false,"usgs":false,"family":"Cheshire","given":"R.T.","affiliations":[{"id":36612,"text":"National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":934110,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Karnauskas, M.","contributorId":353623,"corporation":false,"usgs":false,"family":"Karnauskas","given":"M.","affiliations":[{"id":36612,"text":"National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":934111,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":219852,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","middleInitial":"G.R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":934112,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70260490,"text":"70260490 - 2024 - The state of the science and practice of stream restoration in the Chesapeake: Lessons learned to inform better implementation, assessment and outcomes","interactions":[],"lastModifiedDate":"2024-11-05T16:47:15.828836","indexId":"70260490","displayToPublicDate":"2024-11-04T10:44:08","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":17129,"text":"STAC Workshop Report","active":true,"publicationSubtype":{"id":3}},"seriesNumber":"24-006","title":"The state of the science and practice of stream restoration in the Chesapeake: Lessons learned to inform better implementation, assessment and outcomes","docAbstract":"The Chesapeake Bay Program’s (CBP) Science and Technical Advisory Committee (STAC) organized and led a workshop on the science and practice of stream restoration in order to summarize the state of knowledge in order to identify ways to improve stream restoration outcomes. The workshop identified a general framework for explaining the main factors leading to stream restoration outcomes: stream degradation has occurred, leading to regulatory and policy motivations that prioritize project goals, which leads to restoration approaches, assessment and monitoring efforts, and ultimately stream restoration outcomes. In the Chesapeake Bay watershed, stream restoration often occurs in response to Clean Water Act (CWA) mandates to reduce nitrogen, phosphorus, and sediment loads to the Bay. Reviews of stream restoration outcomes summarized at the workshop showed that, in general, stream restorations have led to minimal improvement to stream aquatic biota, effective ‘stabilization’ of channel form over time, moderate improvements to water quality, and short-term negative impacts to riparian vegetation. \n\n\nThe fundamental finding of the workshop was that often the primary goal of stream restoration projects is to improve geomorphic stability in the restored reach and downstream water quality, and not to improve local ecological conditions through ‘uplift’ (improvement of one or more ecosystem functions through a restorative activity; a term defined in Appendix D), and therefore these projects often do not improve aquatic macroinvertebrate or fish communities. This conflict in goals is a shortcoming of the currently most common regulatory driver for stream restoration (reducing downstream loads of N, P, and sediment) that could be addressed directly through diversifying goals to include biotic uplift, as biological benefit is an assumed condition for the permitting and crediting of stream restoration projects. It is also likely that current understanding of stressors and drivers of stream ecosystem health is insufficient, and that reach-scale restoration focused on geomorphic restoration is not removing the actual sources of stream health impairment that may arise in the upstream watershed. More science could help to identify how to improve the ecological condition of streams through management. The outcome of stream restoration monitoring has revealed that while geomorphic and hydrodynamic functions of stream restoration projects may be achieved, biotic stream function improvements remain elusive. As such, ensuring uplift may be achieved by avoiding restoration projects that risk resources in higher-quality streams and riparian corridors. Reach-scale restoration often does not effectively mitigate the watershed-scale stressors of stream ecosystems. If a desired outcome of stream restoration includes ecological uplift, then focusing efforts on improving stream ecology could help meet that goal.","language":"English","publisher":"Chesapeake Bay Program","collaboration":"Chesapeake Bay Program","usgsCitation":"Noe, G.E., Law, N., Berger, J., Filoso, S., Drescher, S., Fraley-McNeal, L., Hayes, B., Mayer, P., Ruck, C., Stack, B., Starr, R., Stranko, S., and Thompson, T., 2024, The state of the science and practice of stream restoration in the Chesapeake: Lessons learned to inform better implementation, assessment and outcomes: STAC Workshop Report 24-006, 96 p.","productDescription":"96 p.","ipdsId":"IP-169302","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":463690,"rank":1,"type":{"id":15,"text":"Index 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Tributary fidelity can benefit individual fish undergoing spawning migrations by reducing time and energy spent exploring new areas and leveraging previous experience, but anthropogenic activities that fragment or degrade these systems can eliminate those benefits. We used multistate models based on passive integrated transponder (PIT) detection data from 2013 to 2023 to estimate the proportion of flannelmouth suckers (Catostomus latipinnis) migrating to a tributary, McElmo Creek, from the mainstem San Juan River for spawning. Survival varied among years and among states. The top model for migration probability included sex, with males slightly more likely to migrate (0.93 vs 0.90), and the next model identified interannual variation in migration probability ranging from 0.875 to 0.999 across years, indicating high site fidelity. Individuals showed consistency in relative arrival timing across years, with the highest correlation generally during years with greater spring discharge and extended tributary residence time. Successful tributary spawning may be important for the maintenance of the mainstem San Juan River flannelmouth sucker population, but site fidelity may be maladaptive where tributaries are vulnerable to human alterations.
","language":"English","publisher":"Nature","doi":"10.1038/s41598-024-72273-7","usgsCitation":"Bonjour, S.M., Gido, K., Cathcart, C.N., and McKinstry, M.C., 2024, Individual return patterns of spawning flannelmouth sucker (Catostomus latipinnis) to a desert river tributary: Scientific Reports, v. 14, no. 1, 26690, 12 p., https://doi.org/10.1038/s41598-024-72273-7.","productDescription":"26690, 12 p.","ipdsId":"IP-166408","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":466786,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-024-72273-7","text":"Publisher Index Page"},{"id":463698,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, New Mexico, Utah","otherGeospatial":"Colorado River, McElmo Creek, San Juan River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -112,\n 38\n ],\n [\n -112,\n 36.5\n ],\n [\n -107,\n 36.5\n ],\n [\n -107,\n 38\n ],\n [\n -112,\n 38\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-11-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Bonjour, Sophia Marie 0000-0003-3614-7023","orcid":"https://orcid.org/0000-0003-3614-7023","contributorId":335936,"corporation":false,"usgs":true,"family":"Bonjour","given":"Sophia","email":"","middleInitial":"Marie","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":917859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gido, Keith B.","contributorId":341429,"corporation":false,"usgs":false,"family":"Gido","given":"Keith B.","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":917860,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cathcart, Charles N.","contributorId":317814,"corporation":false,"usgs":false,"family":"Cathcart","given":"Charles","email":"","middleInitial":"N.","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":917861,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McKinstry, Mark C.","contributorId":301155,"corporation":false,"usgs":false,"family":"McKinstry","given":"Mark","email":"","middleInitial":"C.","affiliations":[{"id":65322,"text":"Upper Colorado Regional Office","active":true,"usgs":false}],"preferred":false,"id":917862,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70261908,"text":"70261908 - 2024 - The LTAR cropland Common Experiment at Lower Chesapeake Bay","interactions":[],"lastModifiedDate":"2025-01-02T15:16:01.951758","indexId":"70261908","displayToPublicDate":"2024-11-04T09:04:43","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"The LTAR cropland Common Experiment at Lower Chesapeake Bay","docAbstract":"The Lower Chesapeake Bay (LCB) Long-Term Agroecosystem Research (LTAR) Common Experiment (CE) located in Beltsville, MD, focuses on research of concern to producers of the major regional crops, which are corn (Zea mays L.), soybean [Glycine max (L.) Merr.], wheat (Triticum aestivum L.), and various forage species. Livestock production in the region includes broiler and laying chickens (Gallus gallus domesticus L.) and dairy and beef cattle (Bos taurus L.). The LCB region is among the most heavily populated in the United States. Urban development pressure is high for both farms and natural areas. The need to restore Chesapeake Bay water quality is a major influence on regional agricultural practices. Conservation practices such as cover cropping, no-till agriculture, and nutrient management planning are more common in the region compared to nationally. However, farmers still face management challenges implementing practices that address water quality and the rise of herbicide-resistant weeds. Researchers at the LCB site recognize the need to protect the Chesapeake and Delaware Bays and maintain farmer profitability. The LCB CE compares a 3-year crop rotation system featuring alternative crop management (cover crop intensification, crop rotation diversification, and integrated weed management [IWM]) with a prevailing 2-year system (no cover crops and no IWM), both under continuous no-tillage, to identify the optimal balance to promote the sustainability of regional cropping systems. The LTAR LCB site provides data-driven tools and solutions to support farmers in the mid-Atlantic region.
","language":"English","publisher":"Wiley","doi":"10.1002/jeq2.20650","usgsCitation":"Bagley, G., Ackroyd, V., Cavagielli, M., White, K.E., Schomberg, H., Law, E., Bejleri, K., Hively, W.D., Fischel, M., Maul, J., Hapeman, C., McCarty, G.W., Dulaney, W., Timlin, D., and Mirsky, S., 2024, The LTAR cropland Common Experiment at Lower Chesapeake Bay: Journal of Environmental Quality, v. 53, no. 6, p. 814-822, https://doi.org/10.1002/jeq2.20650.","productDescription":"9 p.","startPage":"814","endPage":"822","ipdsId":"IP-165197","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":498257,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jeq2.20650","text":"Publisher Index Page"},{"id":465609,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Maryland, New Jersey, Pennsylvania, Virginia","otherGeospatial":"Lower Chesapeake Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -73.9556764775082,\n 40.46153259662566\n ],\n [\n -74.48383881348687,\n 41.10110823458638\n ],\n [\n -75.02078942979834,\n 41.711418167779954\n ],\n [\n -76.9982529856057,\n 39.663312203537316\n ],\n [\n -78.15055555483706,\n 39.27537696005348\n ],\n [\n -79.51486618297113,\n 36.93865143986331\n ],\n [\n -75.88636033588946,\n 36.784474162430556\n ],\n [\n -75.05876660779819,\n 38.620227507492245\n ],\n [\n -74.4488327943047,\n 39.51207480207262\n ],\n [\n -73.9556764775082,\n 40.46153259662566\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"53","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-11-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Bagley, Gwen","contributorId":347693,"corporation":false,"usgs":false,"family":"Bagley","given":"Gwen","affiliations":[{"id":62785,"text":"USDA-ARS Sustainable Agricultural Systems Laboratory","active":true,"usgs":false}],"preferred":false,"id":922233,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ackroyd, Victoria E.P.","contributorId":347696,"corporation":false,"usgs":false,"family":"Ackroyd","given":"Victoria E.P.","affiliations":[{"id":62785,"text":"USDA-ARS Sustainable Agricultural Systems Laboratory","active":true,"usgs":false}],"preferred":false,"id":922236,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cavagielli, Michelle A.","contributorId":347694,"corporation":false,"usgs":false,"family":"Cavagielli","given":"Michelle A.","affiliations":[{"id":62785,"text":"USDA-ARS Sustainable Agricultural Systems Laboratory","active":true,"usgs":false}],"preferred":false,"id":922234,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"White, K. 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Dean 0000-0002-5383-8064","orcid":"https://orcid.org/0000-0002-5383-8064","contributorId":201565,"corporation":false,"usgs":true,"family":"Hively","given":"W.","email":"","middleInitial":"Dean","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":922240,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fischel, M.H.H.","contributorId":347698,"corporation":false,"usgs":false,"family":"Fischel","given":"M.H.H.","affiliations":[{"id":62785,"text":"USDA-ARS Sustainable Agricultural Systems Laboratory","active":true,"usgs":false}],"preferred":false,"id":922238,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Maul, Jude E.","contributorId":347699,"corporation":false,"usgs":false,"family":"Maul","given":"Jude E.","affiliations":[{"id":62785,"text":"USDA-ARS Sustainable Agricultural Systems Laboratory","active":true,"usgs":false}],"preferred":false,"id":922239,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hapeman, Cathleen J.","contributorId":347700,"corporation":false,"usgs":false,"family":"Hapeman","given":"Cathleen J.","affiliations":[{"id":65190,"text":"USDA-ARS Hydrology and Remote Sensing Laboratory","active":true,"usgs":false}],"preferred":false,"id":922241,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"McCarty, Gregory W.","contributorId":192367,"corporation":false,"usgs":false,"family":"McCarty","given":"Gregory","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":922242,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Dulaney, Wayne","contributorId":333592,"corporation":false,"usgs":false,"family":"Dulaney","given":"Wayne","email":"","affiliations":[{"id":65190,"text":"USDA-ARS Hydrology and Remote Sensing Laboratory","active":true,"usgs":false}],"preferred":false,"id":922243,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Timlin, Dennis J.","contributorId":347701,"corporation":false,"usgs":false,"family":"Timlin","given":"Dennis J.","affiliations":[{"id":62785,"text":"USDA-ARS Sustainable Agricultural Systems Laboratory","active":true,"usgs":false}],"preferred":false,"id":922244,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Mirsky, Steven B.","contributorId":347702,"corporation":false,"usgs":false,"family":"Mirsky","given":"Steven B.","affiliations":[{"id":62785,"text":"USDA-ARS Sustainable Agricultural Systems Laboratory","active":true,"usgs":false}],"preferred":false,"id":922245,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70265637,"text":"70265637 - 2024 - A new water temperature modeling approach to predict thermal habitat suitability for nonnative cichlids in Florida rivers","interactions":[],"lastModifiedDate":"2025-04-14T15:41:33.931061","indexId":"70265637","displayToPublicDate":"2024-11-03T10:37:41","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2299,"text":"Journal of Freshwater Ecology","active":true,"publicationSubtype":{"id":10}},"title":"A new water temperature modeling approach to predict thermal habitat suitability for nonnative cichlids in Florida rivers","docAbstract":"As global temperatures increase, the spatiotemporal arrangement of thermal habitats in Florida rivers may shift, creating the potential for greater dispersal and establishment of nonnative tropical freshwater fishes. To understand how water temperature changes may affect the spatial distribution of these nonnative species, more effective water temperature prediction models are necessary. Currently, most models employ either a generalized air–water temperature relationship or require expensive and complicated tools to measure hydrometeorological factors (e.g. groundwater input). Thus, we developed a novel modeling approach that is accurate, accessible, and cost-effective in allowing fisheries managers to project water temperatures in rivers across Central and North Florida. To characterize the potential for nonnative fishes to spread northward, we evaluated two hardy and abundant species currently found primarily in South Florida: Mayan Cichlid (Mayaheros urophthalmus) and Oscar (Astronotus ocellatus). Our results show an increase in thermally suitable winter days for both species in 10 of 11 rivers studied, consistent with predicted water temperature warming under 16 climate-change scenarios spanning different levels of air temperature warming (+1 °C, +2 °C, +3 °C, +4 °C) and precipitation/groundwater thermal sensitivity (0, 0.33, 0.66, 1). Considering resource limitations, fisheries managers can use our water temperature modeling approach to predict effects of climate change on Mayan Cichlid and Oscar survival, growth, and dispersal and take actions to manage potential northward movement of these species.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02705060.2024.2405721","usgsCitation":"Scott, A., and Carlson, A.K., 2024, A new water temperature modeling approach to predict thermal habitat suitability for nonnative cichlids in Florida rivers: Journal of Freshwater Ecology, v. 39, no. 1, 2405721, 24 p., https://doi.org/10.1080/02705060.2024.2405721.","productDescription":"2405721, 24 p.","ipdsId":"IP-166869","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":488211,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02705060.2024.2405721","text":"Publisher Index Page"},{"id":484504,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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filter","interactions":[],"lastModifiedDate":"2024-11-12T15:23:22.565635","indexId":"70260841","displayToPublicDate":"2024-11-02T09:20:52","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"The chlorine evolution of arc magmas and the crustal water filter","docAbstract":"Degassing of water from magmatic systems is key to transporting metals from magmas to form ore deposits, but elements like chlorine, through the formation of anion complexes, can be important in solubilizing and mobilizing these metals into water-rich fluids. Reconstructing the Cl systematics of evolving magmas is thus an important step towards understanding the origins of ore deposits, but the magmatic record is not well preserved because Cl can be lost during degassing. Here, we reconstruct the pre-degassing history of Cl in subduction zone (arc) magmas through amphiboles, which incorporate Cl directly into their crystal structures, preserving pre-eruptive magmatic signatures. Amphibole-reconstructed Cl contents indicate that magmatic differentiation can lead to a 4-fold increase in concentration due to Cl's incompatible behavior. The amphibole-reconstructed Cl contents of arc magmas are also significantly higher than values reported from melt inclusions, suggesting that many melt inclusions may have been trapped after magmas had already lost some Cl. We show that such Cl loss is likely associated with preferential partitioning of Cl into hydrous fluids degassed from the magma during crustal storage or ascent. The extent of Cl depletion can thus be used to estimate how much water was lost during early degassing. If Cl is important to certain ore deposits, magmatic water content may play an indirect role. Magmas too rich in water will lose water and hence Cl at greater depths, rendering such magmas less able to transport metals to the upper crust. By contrast, drier magmas may not produce enough Cl-rich fluids to mobilize metals. Thus, magmas with intermediate water contents may produce enough Cl-rich fluids at the right depths for certain types of ore deposits.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2024.119048","usgsCitation":"Borchardt, J.S., and Lee, C., 2024, The chlorine evolution of arc magmas and the crustal water filter: Earth and Planetary Science Letters, v. 648, 119048, 9 p., https://doi.org/10.1016/j.epsl.2024.119048.","productDescription":"119048, 9 p.","ipdsId":"IP-167774","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":489865,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epsl.2024.119048","text":"Publisher Index Page"},{"id":463871,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"648","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Borchardt, Jackson Stone 0000-0001-6891-3314","orcid":"https://orcid.org/0000-0001-6891-3314","contributorId":346157,"corporation":false,"usgs":true,"family":"Borchardt","given":"Jackson","email":"","middleInitial":"Stone","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":918266,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, Cin-Ty","contributorId":346158,"corporation":false,"usgs":false,"family":"Lee","given":"Cin-Ty","email":"","affiliations":[{"id":7173,"text":"Rice University","active":true,"usgs":false}],"preferred":false,"id":918267,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70263176,"text":"70263176 - 2024 - Exploring the dynamic interactions between the Southern San Andreas Fault and a normal fault under the Salton Sea","interactions":[],"lastModifiedDate":"2025-01-31T15:08:50.504738","indexId":"70263176","displayToPublicDate":"2024-11-02T08:00:40","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6453,"text":"Journal of Geophysical Research Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Exploring the dynamic interactions between the Southern San Andreas Fault and a normal fault under the Salton Sea","docAbstract":"We investigate the dynamic interactions between the Southern San Andreas Fault (SSAF) and a proximal normal fault (NF) beneath the Salton Sea in southern California. The NF, positioned near the SSAF terminus at Bombay Beach, exhibits 11–15 displacement events across 14 stratigraphic sequences, with a range of 0.2–1.4 m of vertical offset since ∼2–3 ka. Notably, four of these events may align temporally with SSAF earthquakes, raising questions about the possible interplay between the two faults. Utilizing dynamic rupture models, we analyze the coseismic interactions between the SSAF and NF, addressing under what conditions the SSAF induces slip on the NF. Our findings reveal that a suite of SSAF ruptures, particularly those propagating from north to south, can trigger slip on the normal fault and replicate observed vertical offsets. If the SSAF extends beneath the Salton Sea, earthquakes originating south of the NF intersection are less likely to trigger normal fault slip, although we cannot exclude this possibility. Some SSAF ruptures do not trigger discernible slip on the NF, rendering such events undetectable in the stratigraphic record. Our research contributes toward discussions regarding the seismic hazard in southern California, shedding light on the interplay between the SSAF and NF.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023JB028621","usgsCitation":"Flores, L., Kyriakopoulos, C., Oglesby, D., Meltzner, A., Rockwell, T., Fletcher, J., and Brothers, D., 2024, Exploring the dynamic interactions between the Southern San Andreas Fault and a normal fault under the Salton Sea: Journal of Geophysical Research Solid Earth, v. 129, no. 11, e2023JB028621, 27 p., https://doi.org/10.1029/2023JB028621.","productDescription":"e2023JB028621, 27 p.","ipdsId":"IP-167490","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":481545,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Salton Sea, Southern San Andreas Fault","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.65460420209196,\n 33.84881697934365\n ],\n [\n -115.60752481012484,\n 32.705792541668316\n ],\n [\n -115.09341127848316,\n 32.71621614794114\n ],\n [\n -116.0942650348575,\n 33.93798453809697\n ],\n [\n -116.65460420209196,\n 33.84881697934365\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"129","issue":"11","noUsgsAuthors":false,"publicationDate":"2024-11-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Flores, Luis Ivan Bazan","contributorId":350339,"corporation":false,"usgs":false,"family":"Flores","given":"Luis Ivan Bazan","affiliations":[{"id":17864,"text":"University of Memphis","active":true,"usgs":false}],"preferred":false,"id":925784,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kyriakopoulos, Christodoulos","contributorId":350340,"corporation":false,"usgs":false,"family":"Kyriakopoulos","given":"Christodoulos","affiliations":[{"id":17864,"text":"University of Memphis","active":true,"usgs":false}],"preferred":false,"id":925785,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oglesby, David D.","contributorId":350341,"corporation":false,"usgs":false,"family":"Oglesby","given":"David D.","affiliations":[{"id":12655,"text":"University of California, Riverside","active":true,"usgs":false}],"preferred":false,"id":925786,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meltzner, Aron J.","contributorId":350342,"corporation":false,"usgs":false,"family":"Meltzner","given":"Aron J.","affiliations":[{"id":16631,"text":"Nanyang Technological University","active":true,"usgs":false}],"preferred":false,"id":925787,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rockwell, Thomas K.","contributorId":350343,"corporation":false,"usgs":false,"family":"Rockwell","given":"Thomas K.","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":925788,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fletcher, John M.","contributorId":350344,"corporation":false,"usgs":false,"family":"Fletcher","given":"John M.","affiliations":[{"id":82505,"text":"Centro de Investigación Científica y de Educación Superior de Ensenada","active":true,"usgs":false}],"preferred":false,"id":925789,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brothers, Daniel S. 0000-0001-7702-157X","orcid":"https://orcid.org/0000-0001-7702-157X","contributorId":210199,"corporation":false,"usgs":true,"family":"Brothers","given":"Daniel S.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":925790,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ]}