The U.S. Geological Survey, in cooperation with the Confederated Tribes of the Umatilla Indian Reservation (CTUIR), (1) estimated water-level change from a multiple-well aquifer test centered on CTUIR well number 422 and (2) evaluated hydraulic connections between the pumping and observation wells on the Umatilla Indian Reservation near Mission, northeastern Oregon to improve the understanding of aquifer characteristics and hydrologic flow boundaries. Water-level changes, or pumping responses, were determined by distinguishing the pumping signal from environmental fluctuations in groundwater levels using analytical water-level models. The pumping well produces water from basalt units from a depth of 450 to 1,057 feet below land surface and was intermittently pumped during February 1–April 18, 2016. Water-level responses to pumping were estimated in the pumping well and in seven observation wells within 4 miles (mi) of the pumping well. The observation wells are open to basalt and some observation wells are either separated from the pumping well by faults and other structural features, within structural zones, or adjacent to structural features. Pumping responses at the observation wells were classified as detected in two wells, ambiguous in one well, and not detected in four wells. Observation-well open-interval elevations overlapped with the pumping-well open interval in both wells with detected pumping responses. Observation wells with detections are 1.8 mi east of the pumping well and across a fault, and 1.4 mi south of the pumping well. The pumping response was classified as ambiguous in an observation well located 1.4 mi west of the pumping well, where the dip of the basalt unit steepens, and adjacent to the Agency syncline. Pumping responses were not detected in observation wells within 0.3 mi of the pumping well where observation-well open-interval elevations are above the top of the pumping well open interval. Analysis of pumping responses indicates (1) a more permeable zone of basalt is adjacent to the lower portion of the pumping-well open interval and extends eastward, (2) basalt adjacent to the upper portion of the pumping-well open-interval is less permeable than the lower portion or separated from the lower portion by a less permeable zone, and (or) (3) a less permeable zone limits vertical hydraulic connectivity between the pumping well and the overlying basalt.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231081","collaboration":"Prepared in cooperation with Confederated Tribes of the Umatilla Indian Reservation","usgsCitation":"Garcia, C.A., Kennedy, J.J., and Ely, K., 2024, Water-level change from a multiple-well aquifer test in volcanic rocks, Umatilla Indian Reservation near Mission, northeastern Oregon, 2016: U.S. Geological Survey Open-File Report 2023–1081, 16 p., https://doi.org/10.3133/ofr20231081.","productDescription":"Report: vii, 16 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-149402","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":499191,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115942.htm","linkFileType":{"id":5,"text":"html"}},{"id":424231,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2023/1081/ofr20231081.XML"},{"id":424229,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9Q1122I","text":"USGS data release","description":"USGS data release","linkHelpText":"Multiple-well aquifer-test data and results, Umatilla Indian Reservation near Mission, northeastern Oregon"},{"id":424228,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20231081/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2023-1081"},{"id":424227,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1081/ofr20231081.pdf","text":"Report","size":"3.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2023-1081"},{"id":424230,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2023/1081/images"},{"id":424226,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1081/ofr20231081.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Umatilla Indian Reservation","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.5,\n 45.44\n ],\n [\n -118.5,\n 45.36\n ],\n [\n -118.36,\n 45.36\n ],\n [\n -118.36,\n 45.44\n ],\n [\n -118.5,\n 45.44\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director , Oregon Water Science Center
U.S. Geological Survey
601 SW 2nd Avenue, Suite 1950
Portland, OR 97204
Per- and polyfluoroalkyl substances (PFAS) have been detected in public and private drinking-water wells, springs, and surface waters in New Mexico; however, the presence and distribution of PFAS in water resources across the State are not well characterized. From August 2020 to October 2021, the U.S. Geological Survey, in cooperation with the New Mexico Environment Department, collected water-quality samples from groundwater and surface-water sites throughout New Mexico. One hundred and seventeen groundwater wells were sampled from unconfined water-table aquifers for PFAS and a geochemical suite including major ions, trace elements, nutrients, dissolved organic carbon (DOC), stable isotopes of oxygen and hydrogen, tritium, and carbon-14 to provide context for groundwater age and geochemical evolution. Eighteen surface-water samples were analyzed for PFAS, and select samples were analyzed for wastewater tracers, major ions, trace elements, and DOC. Blanks and replicates indicated low bias and variability for PFAS, wastewater tracers, and geochemical compounds.
Twenty-seven of the 117 groundwater sites had PFAS concentrations reported above the detection level, and there were no exceedances of the 2016 U.S. Environmental Protection Agency health advisory of 70 nanograms per liter (ng/L) perfluorooctanoic acid plus perfluorooctane sulfonic acid. Twenty-two sites were resampled and showed similar signatures, excluding some springs. Total PFAS concentrations ranged from 0.91 to 80.3 ng/L. The most frequently detected PFAS at groundwater sites were perfluorobutanesulfonic acid (PFBS; 11 sites), perfluoropentanoic acid (10 sites), and perfluorohexanoic acid (9 sites). Correlations were found between certain PFAS compounds that suggest similar sources. PFAS were also correlated with tritium, DOC, and nitrate, which indicated that a presence of anthropogenic compounds could in turn indicate a likelihood of PFAS occurrence. In addition, a cluster analysis showed that varying geochemical processes and sources of anthropogenic compounds likely contribute to the PFAS signature of each groundwater sample.
Surface-water samples showed variable total PFAS concentrations ranging from 1.0 to 155.4 ng/L. Sites downstream from urban areas showed numerous PFAS detections. Some undeveloped areas where minimal PFAS detections would be expected had PFAS detections. Correlations between PFAS were found that suggested similar sources. Perfluoropentanoic acid and PFBS were the most frequently detected PFAS, and PFBS had the highest single concentration of 93 ng/L.
Results of the study provide an overview of PFAS occurrences in the water resources of New Mexico along with geochemical context and are used to identify areas for further scientific investigations that could further characterize PFAS occurrences in New Mexico.
Director, New Mexico Water Science Center
U.S. Geological Survey
6700 Edith Blvd. NE
Albuquerque, NM 87113
The Flood Risk Management Project was initiated in 2008 in the Fargo-Moorhead metropolitan area to reduce flood risk, flood damages, and flood protection costs in the Fargo-Moorhead metropolitan area. In cooperation with the U.S. Army Corps of Engineers, the U.S. Geological Survey initiated a water-quality monitoring study to describe the water-quality characteristics of the Red River of the North and its tributaries in the Fargo-Moorhead metropolitan area during the preconstruction period of the Flood Risk Management Project from October 1, 2019, to October 1, 2022. The monitoring study included the collection of discrete and continuous water-quality data and streamflow monitoring at selected sites that integrated and enhanced existing monitoring programs within the study area.
Discrete samples collected at 10 sites in the Fargo-Moorhead metropolitan area were analyzed for major ions, trace elements, nutrients, suspended sediment, pesticides, and fecal indicator bacteria. In general, major ion concentrations were higher at sites on the tributaries (Wild Rice, Sheyenne, and Maple Rivers) compared to sites on the Red River of the North. In general, bicarbonate, calcium, magnesium, and sulfate represented most of the dissolved ions measured in samples collected at the 10 sites. Calcium, chloride, fluoride, potassium, silica, and sodium were also measured in samples, but they represented a smaller portion of the total dissolved ions. Sulfate was the most dominant dissolved ion that had the highest concentrations among the major ions measured in samples.
A total of 18 trace elements were analyzed in discrete samples. Several of the trace elements had concentrations below the laboratory reporting level in all of the samples, including antimony, beryllium, cadmium, chromium, silver, and thallium. Sites on the Wild Rice River generally had the highest concentrations of arsenic, barium, boron, manganese, and nickel compared to the other sites.
Nutrients analyzed in discrete samples included filtered and unfiltered concentrations of ammonia, nitrate plus nitrite, phosphorus, and organic carbon. The median filtered ammonia concentration at most sites was less than the laboratory reporting level of 0.03 milligram per liter as nitrogen except for the Sheyenne River at Harwood, North Dakota (U.S. Geological Survey [USGS] station 05060400), and Red River of the North near Georgetown, Minnesota (USGS station 05062130). The lowest median unfiltered nitrate plus nitrite concentration was measured at sites on the Red River of the North upstream from the Fargo-Moorhead metropolitan area and the highest median was at sites on the Red River of the North downstream from the Fargo-Moorhead metropolitan area compared to all other sites. The increase in nitrate plus nitrite concentrations could reflect the effect of the wastewater-treatment plant discharge that enters the Red River of the North upstream from the site located downstream from the Fargo-Moorhead metropolitan area and from urban runoff. Phosphorus (unfiltered) concentrations were generally higher at sites on the Maple and Sheyenne Rivers compared to the other sites and were higher at sites on the Red River of the North downstream from the Fargo-Moorhead metropolitan area compared to sites upstream on the Red River of the North.
Suspended-sediment concentrations were generally highest at sites in the Sheyenne River and lowest in the upstream Red River of the North sites. Suspended-sediment concentration was highly variable in samples collected at the 10 sites, mostly influenced by the occurrence of snowmelt and rainfall-runoff events. The Sheyenne River near Kindred, N. Dak. (USGS station 05059000) had the largest range in sediment concentrations in samples collected at the 10 sites. For all sites other than the Sheyenne River near Kindred, N. Dak., 95 percent or more of the suspended sediment had particle diameter sizes less than 0.0625 millimeter in 50 percent of the samples (median).
Of the 102 pesticides and pesticide degradates analyzed, 45 constituents had no detectable concentrations in any of the 17 samples collected at five sites. The remaining 57 pesticides had at least one detection in the samples collected at the five sites. The sites on the Wild Rice River (near Abercrombie, N. Dak., USGS station 05053000, and near St. Benedict, N. Dak., USGS station 05053500) and Sheyenne River near Kindred, N. Dak., had fewer pesticide detections compared to the Maple River below Mapleton, N.Dak. (USGS station 05060100) and the Red River of the North at Fargo, N. Dak (USGS station 05054000) and near Georgetown, Minn.
Patterns in annual loads generally followed the same pattern as streamflow at the 10 sites for water years 2020–22. A water year is the 12-month period from October 1 to September 30 and is designated by the calendar year in which it ends. The greatest loads for all constituents were delivered at the two downstream sites on the Red River of the North; sites that also had the highest annual streamflows among the sites and the greatest loads were delivered in water year 2020 when the highest streamflows occurred at the sites. Likewise, the least loads for most constituents were at the Maple River and were least in 2021 compared to the other years because of low-streamflow conditions.
Water-quality measurements continuously recorded at the Red River of the North at Hickson, N. Dak. (USGS station 05051522); Red River of the North at Fargo, N. Dak.; and Red River of the North near Georgetown, Minn. included water temperature, specific conductance, dissolved oxygen, pH, and turbidity. Specific conductance values were similar for the Red River of the North near Hickson, N. Dak., and Red River of the North at Fargo, N. Dak., when compared to the Red River of the North near Georgetown, Minn. that had higher values than the other two sites. Dissolved oxygen concentrations and pH were similar among the three sites on the Red River. The patterns in turbidity were mostly related to streamflow conditions and were similar among the three sites on the Red River of the North.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235136","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, St. Paul District","usgsCitation":"Galloway, J.M., Nustad, R.A., and Wheeling, S., 2024, Water-quality characteristics of the Red River of the North and tributaries in the Fargo-Moorhead metropolitan area, North Dakota, 2019–22: U.S. Geological Survey Scientific Investigations Report 2023–5136, 76 p., https://doi.org/10.3133/sir20235136.","productDescription":"Report: vii, 76 p.; Data Release; Dataset","numberOfPages":"88","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-155202","costCenters":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":499398,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115957.htm","linkFileType":{"id":5,"text":"html"}},{"id":424499,"rank":7,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"—USGS water data for the Nation"},{"id":424498,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9B0S8L0","text":"USGS data release","linkHelpText":"Data and scripts used in water-quality characteristics of the Red River of the North and tributaries in the Fargo-Moorhead metropolitan area, North Dakota 2019–22"},{"id":424494,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5136/sir20235136.pdf","text":"Report","size":"5.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023–5036"},{"id":424493,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5136/coverthb.jpg"},{"id":424497,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235136/full"},{"id":424495,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5136/sir20235136.XML"},{"id":424496,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5136/images/"}],"country":"United States","state":"Minnesota, North Dakota","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -98.01554629866006,\n 47.455361951934975\n ],\n [\n -98.01554629866006,\n 46.13927557479718\n ],\n [\n -95.6424994236601,\n 46.13927557479718\n ],\n [\n -95.6424994236601,\n 47.455361951934975\n ],\n [\n -98.01554629866006,\n 47.455361951934975\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Dakota Water Science Center
U.S. Geological Survey
821 East Interstate Avenue, Bismarck, ND 58503
1608 Mountain View Road, Rapid City, SD 57702
Using a geology-based assessment methodology, the U.S. Geological Survey estimated means of 1.04 billion barrels of oil, 3.9 trillion cubic feet of gas, and 11 million barrels of natural gas liquids in Upper Cretaceous marine shales in the Raton Basin-Sierra Grande Uplift Province in Colorado and New Mexico.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20233049","programNote":"National and Global Petroleum Assessment","usgsCitation":"Finn, T.M., Schenk, C.J., Mercier, T.J., Woodall, C.A., Leathers–Miller, H.M., Le, P.A., Cicero, A.D., Ellis, G.S., Gardner, M.H., Gelman, S.E., Hearon, J.S., Johnson, B.G., Kinney, S.A., Lagesse, J.H., Timm, K.K., Young, S.S., 2024, Assessment of undiscovered continuous oil and gas resources in Upper Cretaceous marine shales of the Raton Basin-Sierra Grande Uplift Province, Colorado and New Mexico, 2022: U.S. Geological Survey Fact Sheet 2023–3049, 4 p., https://doi.org/10.3133/fs20233049.","productDescription":"Report: 4 p.; 2 Data Releases","onlineOnly":"Y","ipdsId":"IP-151198","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":499113,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115946.htm","linkFileType":{"id":5,"text":"html"}},{"id":424446,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CZ8DIC","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project—Raton Basin-Sierra Grande Uplift Province, Raton Continuous Resources: Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables"},{"id":424440,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9U9I10S","text":"USGS data release","linkHelpText":"Compilation of total organic carbon and pyrolysis analysis data for Cretaceous marine shales in the Raton Basin-Sierra Grande Uplift Province, Colorado and New Mexico"},{"id":424594,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2023/3049/images"},{"id":424595,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2023/3049/fs20233049.xml"},{"id":424596,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20233049/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2023-3049"},{"id":424439,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2023/3049/fs20233049.pdf","text":"Report","size":"1.89 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2023-3049"},{"id":424438,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2023/3049/coverthb.jpg"}],"country":"United States","state":"Colorado, New Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.3,\n 37.5\n ],\n [\n -105.3,\n 36.3\n ],\n [\n -104.0,\n 36.3\n ],\n [\n -104.0,\n 37.5\n ],\n [\n -105.3,\n 37.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
The primary objective of the Atlantic Salmon Research Program established at the U.S. Geological Survey Tunison Laboratory of Aquatic Science as mandated by the Great Lakes Restoration Initiative is to restore Atlantic salmon (Linnaeus, 1758; Salmo salar) into Lake Ontario. This objective focuses on evaluating the survival of stocked Atlantic salmon in current Lake Ontario conditions to create a genetic strain that is robust to overcome current physiological and physical barriers. To complete this goal, new and innovative hatchery techniques based on past successful methods and protocols to grow Atlantic salmon to various life stages are described in this standard operating manual.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm2A21","usgsCitation":"Chalupnicki, M.A., Chiavelli, R., and McKenna, J.E., Jr., 2024, Atlantic salmon (Salmo salar) culture manual: U.S. Geological Survey Techniques and Methods, book 2, chap. A21, 17 p., https://doi.org/10.3133/tm2A21.","productDescription":"vii, 17 p.","numberOfPages":"30","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-156666","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":424546,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/02/a21/coverthb.jpg"},{"id":424547,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/02/a21/tm2a21.pdf","text":"Report","size":"2.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM 2–A21"},{"id":424548,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/tm/02/a21/tm2a21.XML"},{"id":424549,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/tm/02/a21/images/"},{"id":424550,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/tm2A21/full"}],"contact":"Director, Great Lakes Science Center
U.S. Geological Survey
1451 Green Road
Ann Arbor, MI 48105
The Earth surface Mineral dust source InvesTigation (EMIT) is a remote visible to shortwave infrared (VSWIR) imaging spectrometer that has been operating onboard the International Space Station since July 2022. This article describes EMIT's on-orbit spectroradiometric calibration and validation. Accurate spectroscopy is vital to achieve consistent mapping results with orbital imaging spectrometers. EMIT takes a unique approach to this challenge, with just six optical elements, no shutter, and no onboard calibration systems. Its simple design focuses on uniformity and stability to enable vicarious spectroradiometric calibration. Our experiments demonstrate that this approach is successful, approaching the fidelity of manual field spectroscopy in some cases, and enabling new and more accurate products across diverse Earth science disciplines. EMIT achieves several notable firsts for an instrument of its class. It demonstrates successful on-orbit adjustments of Focal Plane Array (FPA) alignment with sub-micron precision. It offers spectral uniformity better than 98%. Optical artifacts in the measurement channels are at least three orders of magnitude below the primary solar-reflected surface signals. Its noise performance enables percent-level discrimination in the depths of mineral absorption features. In these aspects, EMIT satisfies the stringent performance needs for the next generation of VSWIR imaging spectrometers to observe the Earth's ecosystems, geology, and water resources.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2023.113986","usgsCitation":"Thompson, D.R., Green, R.O., Bradley, C., Brodrick, P.G., Mahowald, N., Ben-Dor, E., Bennett, M.R., Bernas, M., Carmon, N., Chadwick, K.D., Clark, R.N., Coleman, R.W., Cox, E., Diaz, E.L., Eastwood, M.L., Eckert, R., Ehlmann, B.L., Ginoux, P., Goncalves Ageitos, M., Grant, K., Guanter, L., Heller Pearlshtien, D., Helmlinger, M., Herzog, H., Hoefen, T.M., Huang, Y., Keebler, A., Kalashnikova, O., Keymeulen, D., Kokaly, R.F., Klose, M., Li, L., Lundeen, S., Meyer, J.M., Middleton, E., Miller, R.L., Mouroulis, P., Oaida, B., Obiso, V., Ochoa, F., Olson-Duvall, W., Okin, G.S., Painter, T.H., Perez Garcıa-Pando, C., Pollock, R., Realmuto, V.J., Shaw, L., Sullivan, P., Swayze, G.A., Thingvold, E., Thorpe, A.K., Vannan, S., Villarreal, C., Ung, C., Wilson, D.W., and Zandbergen, S., 2024, On-orbit calibration and performance of the EMIT imaging spectrometer: Remote Sensing of Environment, v. 303, 113986, 16 p., https://doi.org/10.1016/j.rse.2023.113986.","productDescription":"113986, 16 p.","ipdsId":"IP-145647","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":500146,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9E2TSDF","text":"USGS data release","linkHelpText":"Reflectance spectra collected August 16, 2022, at Smith Creek Valley, Nevada, with an ASD FieldSpecⓇ 4 Hi-Res NG spectrometer for calibration/validation of imaging spectrometer data"},{"id":499951,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2023.113986","text":"Publisher Index Page"},{"id":499806,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"303","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Thompson, David R.","contributorId":366213,"corporation":false,"usgs":false,"family":"Thompson","given":"David","middleInitial":"R.","affiliations":[{"id":87384,"text":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA USA.","active":true,"usgs":false}],"preferred":false,"id":955456,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Green, Robert O.","contributorId":366214,"corporation":false,"usgs":false,"family":"Green","given":"Robert","middleInitial":"O.","affiliations":[{"id":87384,"text":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA USA.","active":true,"usgs":false}],"preferred":false,"id":955457,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradley, Christine","contributorId":366215,"corporation":false,"usgs":false,"family":"Bradley","given":"Christine","affiliations":[{"id":87384,"text":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA USA.","active":true,"usgs":false}],"preferred":false,"id":955458,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brodrick, Philip G.","contributorId":366216,"corporation":false,"usgs":false,"family":"Brodrick","given":"Philip","middleInitial":"G.","affiliations":[{"id":87384,"text":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA USA.","active":true,"usgs":false}],"preferred":false,"id":955459,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mahowald, Natalie","contributorId":225051,"corporation":false,"usgs":false,"family":"Mahowald","given":"Natalie","email":"","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":955487,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ben-Dor, Eyal","contributorId":366217,"corporation":false,"usgs":false,"family":"Ben-Dor","given":"Eyal","affiliations":[{"id":87385,"text":"University of Tel Aviv, Tel Aviv, Israel","active":true,"usgs":false}],"preferred":false,"id":955460,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bennett, Matthew R.","contributorId":265968,"corporation":false,"usgs":false,"family":"Bennett","given":"Matthew","email":"","middleInitial":"R.","affiliations":[{"id":54847,"text":"Bournemouth University, U.K.","active":true,"usgs":false}],"preferred":false,"id":955461,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bernas, Michael","contributorId":352618,"corporation":false,"usgs":false,"family":"Bernas","given":"Michael","affiliations":[{"id":36392,"text":"Jet Propulsion Laboratory","active":true,"usgs":false}],"preferred":false,"id":955462,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Carmon, Nimrod","contributorId":225046,"corporation":false,"usgs":false,"family":"Carmon","given":"Nimrod","email":"","affiliations":[{"id":41027,"text":"NASA JPL/CalTech","active":true,"usgs":false}],"preferred":false,"id":955463,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Chadwick, K. 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U.S. Geological Survey
1451 Green Road
Ann Arbor, MI 48105
Silicic magma reservoirs are responsible for producing the largest explosive eruptions in the geologic record. Petrologic and geochronological data provide evidence for these systems spending substantial periods of time (104–105 yrs) within the upper crust prior to eruption; however, the long-term thermochemical evolution of these systems is not fully understood, as existing petrologic data make it challenging to quantify the time interval a magmatic system has spent at certain temperatures, or its “thermal history”. Here, we investigate the 74 ka Youngest Toba Tuff (YTT), one of the largest explosive eruptions in the geologic record, to better constrain the long-term thermal evolution of its magmatic system. We combine forward models of Sr diffusion in plagioclase and hornblende, mineral thermometry, and pre-existing trace-element evolution models to quantify the thermochemical evolution of the YTT magmatic system. We find that plagioclase crystals record decades to centuries of storage at temperatures 750 C, while hornblende records up to 6200 years at the same temperatures. Hornblende crystallizes at temperatures around 820 C and adjusting our diffusion modeling to this temperature results in no more than 900 years at initial crystallization conditions. Combined with previous trace-element modeling work, these results indicate that although there was chemical diversity for long durations in the YTT magma system sufficient to produce unique composition eruptive products, the entire system was experiencing a relatively similar thermal history that did not allow for large bodies of eruptible magma to be present for long periods ( 102–103 years). Rather, we suggest that magmas within the YTT magmatic system were stored for long durations at thermal conditions where they were uneruptible and only remobilized within a few centuries prior to eruption.
Ecosystem processes in rivers are thought to be controlled more by extrinsic than intrinsic factors, that is, the result of processes that occur upstream or within their watersheds. However, large floodplain rivers have a diverse assemblage of aquatic areas spanning gradients of connectivity with the main channel and internal controls may at times regulate long-term dynamics. When and where internal controls are important has not been widely explored in rivers. The Upper Mississippi River System (UMRS) provides a unique opportunity to assess regulation of ecosystem processes in a large floodplain river as water clarity has increased in several reaches over the last two decades. To better understand when and where intrinsic variables (for example, aquatic vegetation and common carp) and extrinsic variables (for example, upstream main channel total suspended solids (TSS) concentration and discharge) regulate water clarity, we describe 24-year trends of TSS in six study reaches of the UMRS. We evaluated the degree to which trends were shared across aquatic areas within each study reach and identified potential drivers of long-term TSS dynamics. Results varied across and within UMRS reaches, but common carp abundance was the strongest predictor in nearly all study reaches. Several models indicated associations with both intrinsic and extrinsic factors, and the marginal model r2 values (0.26–0.61) suggest that additional environmental factors may have influenced water clarity. Knowledge of the degree to which intrinsic and extrinsic processes regulate water clarity is important for understanding and managing large, floodplain rivers worldwide.
The 1 September 1886 Charleston, South Carolina, earthquake was one of the largest preinstrumental earthquakes in eastern North America for which extensive contemporaneous observations were documented. The distribution of shaking was mapped shortly after the earthquake, and reconsidered by several authors in the late twentieth century, but has not been reconsidered with a modern appreciation for issues associated with macroseismic data interpretation. Detailed contemporary accounts have also never been used to map the distribution of numerical shaking intensities in the near field. In this study we reconsider macroseismic data from far‐field accounts as well as detailed accounts of damage in the near field, estimating modified Mercalli intensity values at 1297 locations including over 200 definite “not felt” reports that delineate the overall felt extent. We compare the results to the suite of ground‐motion models for eastern North America selected by the National Seismic Hazard Model, using a recently proposed mainshock rupture model and an average site condition for the locations at which intensities are estimated. The comparison supports the moment magnitude estimate, 7.3, from a recently proposed rupture model (Bilham and Hough, 2023). A ShakeMap constrained by model predictions and estimated intensities further illustrates this consistency, which we show is insensitive to rupture model details. Given the uncertainty of calibration relations for magnitudes close to 7, the overall intensity distribution provides a good characterization of shaking but cannot improve the independent moment magnitude estimate. We also identify a previously unrecognized early large aftershock that occurred 9–10 min after the mainshock, for which we estimate magnitude ∼5.6.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120230224","usgsCitation":"Hough, S.E., and Bilham, R., 2024, The 1886 Charleston, South Carolina, earthquake: Intensities and ground motions: Bulletin of the Seismological Society of America, v. 114, no. 3, p. 1658-1679, https://doi.org/10.1785/0120230224.","productDescription":"22 p.","startPage":"1658","endPage":"1679","ipdsId":"IP-157642","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":482222,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Carolina","city":"Charleston","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -80.5,\n 33.3\n ],\n [\n -80.5,\n 32.65\n ],\n [\n -79.9,\n 32.65\n ],\n [\n -79.9,\n 33.3\n ],\n [\n -80.5,\n 33.3\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"114","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-01-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Hough, Susan E. 0000-0002-5980-2986 hough@usgs.gov","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":587,"corporation":false,"usgs":true,"family":"Hough","given":"Susan","email":"hough@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927605,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bilham, Roger","contributorId":225117,"corporation":false,"usgs":false,"family":"Bilham","given":"Roger","affiliations":[{"id":13693,"text":"University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":927606,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70268354,"text":"70268354 - 2024 - Tropical forests and global change: Biogeochemical responses and opportunities for cross-site comparisons, an organized INSPIRE session at the 108th Annual Meeting, Ecological Society of America, Portland, Oregon, USA, August 2023","interactions":[],"lastModifiedDate":"2026-02-10T18:08:46.837428","indexId":"70268354","displayToPublicDate":"2024-01-17T09:42:37","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2863,"text":"New Phytologist","active":true,"publicationSubtype":{"id":10}},"title":"Tropical forests and global change: Biogeochemical responses and opportunities for cross-site comparisons, an organized INSPIRE session at the 108th Annual Meeting, Ecological Society of America, Portland, Oregon, USA, August 2023","docAbstract":"Tropical forests play a critical role in the global carbon (C) cycle. These ecosystems maintain the highest rates of net primary production (NPP) on Earth (Hengl et al., 2017), contain c. 30% of terrestrial C stocks (Jobbagy & Jackson, 2000), and have some of the largest stores of fine-root biomass globally (Jackson et al., 1996), as well as higher fine-root production and turnover rates compared with other biomes (Cusack et al., 2021). Tropical forest responses to projected warming, altered rainfall regimes, and elevated CO2 concentrations (IPCC, 2021) are likely to be different from other ecosystems because of their unique characteristics (Box 1), making targeted research and model development important for understanding tropical forest–climate feedbacks. There is now a critical mass of long-term global change field experiments and modeling efforts in tropical forests, yet thus far there has been little synthesis, cross-site comparison, or multi-site standardized experimentation among tropical forests to help us understand how these biomes are changing. An organized INSPIRE session at the 108th Annual Meeting of the Ecological Society of America set out to tackle just this. Speakers covered large-scale tropical forest field experiments and modeling efforts, with an emphasis on changes in ecosystem biogeochemistry under warming, drying, elevated atmospheric CO2, and changing nutrient status. In this Meeting report, we provide an overview of the large-scale global change experiments presented and highlight the main objectives and opportunities for tropical forest research that emerged, including cross-site comparisons and integration with ecosystem-scale models (Fig. 1).
","language":"English","publisher":"New Phytologist Foundation","doi":"10.1111/nph.19511","usgsCitation":"Cusack, D.F., Reed, S., Andersen, K., Cinoğlu, D., Craig, M., Dietterich, L.H., Hogan, J., Holmes, J.A., Nottingham, A.T., Ostertag, R., Soper, F.M., Wood, T.E., and Wong, M., 2024, Tropical forests and global change: Biogeochemical responses and opportunities for cross-site comparisons, an organized INSPIRE session at the 108th Annual Meeting, Ecological Society of America, Portland, Oregon, USA, August 2023: New Phytologist, v. 241, no. 5, p. 1922-1926, https://doi.org/10.1111/nph.19511.","productDescription":"5 p.","startPage":"1922","endPage":"1926","ipdsId":"IP-158781","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":491102,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":491496,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/nph.19511","text":"External Repository"}],"volume":"241","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-01-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Cusack, Daniela F. 0000-0003-4681-7449","orcid":"https://orcid.org/0000-0003-4681-7449","contributorId":245300,"corporation":false,"usgs":false,"family":"Cusack","given":"Daniela","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":941049,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reed, Sasha C. 0000-0002-8597-8619","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":205372,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":941050,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andersen, Kelly M.","contributorId":357282,"corporation":false,"usgs":false,"family":"Andersen","given":"Kelly M.","affiliations":[{"id":85392,"text":"College of Science, Nanyang Technological University, Singapore","active":true,"usgs":false}],"preferred":false,"id":941051,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cinoğlu, Damla","contributorId":332640,"corporation":false,"usgs":false,"family":"Cinoğlu","given":"Damla","affiliations":[{"id":79539,"text":"The University of Texas at Austin, 2415 Speedway #C0930, Austin, TX 78712, USA","active":true,"usgs":false}],"preferred":false,"id":941052,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Craig, Matthew E.","contributorId":357283,"corporation":false,"usgs":false,"family":"Craig","given":"Matthew E.","affiliations":[{"id":85394,"text":"Environmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN 37830 USA","active":true,"usgs":false}],"preferred":false,"id":941053,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dietterich, Lee H.","contributorId":333170,"corporation":false,"usgs":false,"family":"Dietterich","given":"Lee","email":"","middleInitial":"H.","affiliations":[{"id":79766,"text":"Department of Ecosystem Science and Sustainability, Colorado State University, Fort Collins, CO 80523; US Army Engineer Research and Development Center, Environmental Laboratory, Vicksburg, MS 39180","active":true,"usgs":false}],"preferred":false,"id":941054,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hogan, J.A.","contributorId":357284,"corporation":false,"usgs":false,"family":"Hogan","given":"J.A.","affiliations":[{"id":85395,"text":"USDA Forest Service International Institute of Tropical Forestry, Río Piedras, PR 00926 USA","active":true,"usgs":false}],"preferred":false,"id":941055,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Holmes, Jennifer A.","contributorId":178159,"corporation":false,"usgs":false,"family":"Holmes","given":"Jennifer","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":941056,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Nottingham, Andrew T.","contributorId":266049,"corporation":false,"usgs":false,"family":"Nottingham","given":"Andrew","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":941057,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ostertag, Rebecca","contributorId":197840,"corporation":false,"usgs":false,"family":"Ostertag","given":"Rebecca","email":"","affiliations":[],"preferred":false,"id":941058,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Soper, Fiona M.","contributorId":207085,"corporation":false,"usgs":false,"family":"Soper","given":"Fiona","email":"","middleInitial":"M.","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":941059,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Wood, Tana E.","contributorId":202372,"corporation":false,"usgs":false,"family":"Wood","given":"Tana","email":"","middleInitial":"E.","affiliations":[{"id":36399,"text":"International Institute of Tropical Forestry, USDA Forest Service, Rio Piedras, PR","active":true,"usgs":false}],"preferred":false,"id":941060,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Wong, Michelle Y.","contributorId":357285,"corporation":false,"usgs":false,"family":"Wong","given":"Michelle Y.","affiliations":[{"id":85396,"text":"Department of Ecology and Evolutionary Biology; Yale University, New Haven, CT 06511","active":true,"usgs":false}],"preferred":false,"id":941061,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70250914,"text":"sir20235126 - 2024 - Flood of October 31 to November 3, 2019, in the East Canada Creek, West Canada Creek, and Sacandaga River basins in central New York","interactions":[],"lastModifiedDate":"2026-01-30T19:22:05.254094","indexId":"sir20235126","displayToPublicDate":"2024-01-17T07:10:00","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":"2023-5126","displayTitle":"Flood of October 31 to November 3, 2019, in the East Canada Creek, West Canada Creek, and Sacandaga River Basins in Central New York","title":"Flood of October 31 to November 3, 2019, in the East Canada Creek, West Canada Creek, and Sacandaga River basins in central New York","docAbstract":"Between October 31 and November 3, 2019, historic flooding in localized areas of the Mohawk Valley and southern Adirondack region in central New York State resulted in one fatality and an estimated $33 million in damages. Flooding resulted from high-intensity, hyperlocal rainfall in the region within a 24-hour period between October 31 and November 1, 2019, at the end of a much wetter than average October. In that 24-hour period, rainfall amounts largely ranged from 2 to 5 inches in the most heavily affected parts of the region, but a maximum rainfall amount for the region of 7 inches was recorded in Speculator, New York. This rainfall total for a 24-hour period for this location is estimated to have between a 200- and 500-year recurrence interval. The most severe flooding to result from the rainfall was mainly in the Sacandaga River basin, which is within the upper Hudson River basin, and in the East and West Canada Creek basins, which are within the Mohawk River basin.
Streamflow, stage, and reservoir elevation data, collected by the U.S. Geological Survey, are documented in this report. Flooding resulted in new peak streamflow records at five of six U.S. Geological Survey streamgages in the region that have periods of record of at least 20 years, including at three streamgages that have been in operation for about 100 years. At the sixth streamgage, this flooding resulted in the second highest peak streamflow in its 71-year period of record. For all six streamgages, estimates of flood magnitudes for selected annual exceedance probabilities were updated using the peak streamflows from the flooding. Additionally, the annual exceedance probabilities for the six respective peak streamflows were all estimated to be less than 1 percent (greater than a 100-year recurrence interval). At three of those six streamgages, however, previous annual peak streamflows of comparable magnitudes (within 10 percent) have also happened within the past 20 years.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235126","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"Graziano, A.P., Gazoorian, C.L., Smith, T.L., and Lilienthal, A.G., III, 2024, Flood of October 31 to November 3, 2019, in the East Canada Creek, West Canada Creek, and Sacandaga River basins in central New York: U.S. Geological Survey Scientific Investigations Report 2023–5126, 37 p., https://doi.org/10.3133/sir20235126.","productDescription":"Report: vii, 37 p.; Data Release","numberOfPages":"37","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-129517","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":499390,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115944.htm","linkFileType":{"id":5,"text":"html"}},{"id":424346,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9SCOJ7M","text":"USGS data release","linkHelpText":"Flood-frequency data for six selected streamgages following the central New York flood of October 31–November 3, 2019"},{"id":424342,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5126/sir20235126.pdf","text":"Report","size":"10.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5126"},{"id":424341,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5126/coverthb.jpg"},{"id":424345,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5126/images/"},{"id":424344,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5126/sir20235126.XML"},{"id":424343,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235126/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2023-5126"}],"country":"United States","state":"New York","otherGeospatial":"East Canada Creek basin, West Canada Creek basin, Sacandaga River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75.89510221171278,\n 42.85733224203008\n ],\n [\n -73.69783658671246,\n 42.85733224203008\n ],\n [\n -73.69783658671246,\n 44.15608967292573\n ],\n [\n -75.89510221171278,\n 44.15608967292573\n ],\n [\n -75.89510221171278,\n 42.85733224203008\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180–8349
Survival of out-migrating juvenile salmonids (Oncorhynchus spp.) through the Sacramento-San Joaquin River Delta averages less than 33 percent, depending on water flow through the delta, and is partially governed by the distribution of fish among three Sacramento River distributaries: Sutter, Steamboat, and Georgiana sloughs. Behavioral altering structures in the junctions of the distributaries can effectively increase entrainment into favorable routes, thereby increasing through-delta (Verona to Chips Island, California) survival. The effectiveness of these structures, hence forth called “behavioral barriers,” are dependent on shape, length, location, barrier type, and water velocity, which is governed by Sacramento River discharge (hereinafter referred to as “flow”).
We developed a machine learning tool to optimize behavioral barrier designs at up to three junctions within the Sacramento-San Joaquin Delta for improving through-delta survival of juvenile winter-run Chinook salmon (Oncorhynchus tshawytscha). This barrier optimization tool (BOT) works by evolving barrier solutions in one to three junctions by repeatedly simulating survival of populations of Sacramento River origin fish as they pass through the Delta. Over approximately 6,000 simulations per junction, the BOT converges on barrier designs that result in the greatest average survival given simulated environmental conditions. Survival at each iteration of the model is simulated using a modified version of the salmon travel time and routing simulation (STARS) model. In the BOT, STARS is modified by replacing probabilistic route determinations with an individual based model (IBM) that simulates fish behavior to predict the entrainment rates in each junction. The IBM allows the flexibility to explore how entrainment changes with evolving barrier designs. We used juvenile winter-run-sized Chinook salmon catch data collected at Knights Landing from 1997 to 2011 to create realistic arrival and spatial distributions of simulated fish within the BOT that varied among water years (hereafter years). We demonstrated the capabilities of the BOT by comparing optimized barrier solutions and their resulting simulated improvement in survival among three scenarios that differed in the number of junctions with barriers (Georgiana Slough, Steamboat Slough, or both) and the barrier operational period (early: November 1–March 15, or late: January 1–April 30). In this initial demonstration of the BOT we only considered a bioacoustic fish fence (BAFF) at Georgiana Slough and a floating fish guidance structure (FFGS) at Steamboat Slough.
The increase in simulated through-delta fish survival ranged from 1.0 to 6.3 percent among the optimized barrier designs. The most effective Georgiana Slough barrier design predicted improved survival by 6.3 percent and was chosen by the California Department of Water Resources (DWR) as the Georgiana Slough salmon migratory barrier planned for operation annually from 2023 to 2030 at Georgiana Slough in response to the 2020 California Department of Fish and Wildlife’s (CDFW) Incidental Take Permit Minimization Measure 8.9.1 (California Department of Fish and Wildlife [CDFW], 2020). When barriers were simulated in both junctions, the percentages of simulated winter-run Chinook salmon interacting with a barrier at Steamboat or Georgiana sloughs were 95 percent given the early operational period and 48 percent given the late operational period. When barriers were simulated at both sloughs, the optimal barrier at Steamboat Slough effectively routed fish into the Sacramento River. This is because the Georgiana Slough barrier reduced routing into Georgiana Slough where survival is low, which resulted in higher survival for fish routed down the Sacramento River at Steamboat Slough than fish routed down Steamboat Slough. Whereas when no barrier was simulated at Georgiana Slough, the optimized barrier at Steamboat Slough routed fish into Steamboat Slough. This is because survival was higher through Steamboat Slough than the Sacramento River and Georgiana Slough combined. The greatest improvement in survival (6.3 percent) was predicted over the earlier operational period with only a barrier at Georgiana Slough.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231095","collaboration":"Prepared in cooperation with the California Department of Water Resources","usgsCitation":"Swyers, N.M., Blake, A., Stumpner, P., Burau, J.R., Burdick, S.M., and Anwar, M.S., 2024, A machine learning tool for design of behavioral fish barriers in the Sacramento-San Joaquin River Delta: U.S. Geological Survey Open-File Report 2023–1095, 38 p., https://doi.org/10.3133/ofr20231095.","productDescription":"ix, 38 p.","onlineOnly":"Y","ipdsId":"IP-151594","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":424660,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20231095/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2023-1095"},{"id":424362,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2023/1095/images"},{"id":424363,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2023/1095/ofr20231095.XML"},{"id":424359,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1095/ofr20231095.jpg"},{"id":424360,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1095/ofr20231095.pdf","text":"Report","size":"9.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2023-1095"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin River Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.4,\n 38.5\n ],\n [\n -122.4,\n 38.0\n ],\n [\n -121.8,\n 38.0\n ],\n [\n -121.8,\n 38.5\n ],\n [\n -122.4,\n 38.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Western Fisheries Research Center
U.S. Geological Survey
6505 NE 65th Street
Seattle, Washington 98115-5016
Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 143 million barrels of oil and 1,084 billion cubic feet of natural gas in conventional accumulations for the Upper Jurassic Smackover Formation in the onshore U.S. Gulf Coast region.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20233046","programNote":"National and Global Petroleum Assessment","usgsCitation":"Birdwell, J.E., Whidden, K.J., Paxton, S.T., Kinney, S.A., Gardner, R.D., Pitman, J.K., French, K.L., Mercier, T.J., Woodall, C.A., Leathers-Miller, H.M., and Schenk, C.J., 2024, Assessment of undiscovered, technically recoverable conventional oil and gas resources in the Upper Jurassic Smackover Formation, U.S. Gulf Coast, 2022: U.S. Geological Survey Fact Sheet 2023–3046, 4 p., https://doi.org/10.3133/fs20233046.","productDescription":"Report: 4 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-145824","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":499112,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115945.htm","linkFileType":{"id":5,"text":"html"}},{"id":424335,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YS1X7P","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project- Gulf Coast Smackover Conventional Oil and Gas Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables"},{"id":424334,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2023/3046/fs20233046.pdf","text":"Report","size":"3.30 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2023-3046"},{"id":424436,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2023/3046/images"},{"id":424437,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2023/3046/fs20233046.xml"},{"id":424449,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20233046/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2023-3046"},{"id":424333,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2023/3046/coverthb.jpg"}],"country":"United States","state":"Alabama, Arkansas, Florida, Louisiana, Mississippi, Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -101,\n 35\n ],\n [\n -101,\n 25\n ],\n [\n -84,\n 25\n ],\n [\n -84,\n 35\n ],\n [\n -101,\n 35\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
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The Bureau of Reclamation (Reclamation) operates the Central Valley Project (CVP), one of the nation’s largest water projects. Reclamation has an ongoing need to improve the scientific basis for adaptive management of the CVP and, by extension, joint operations with California’s State Water Project. The U.S. Geological Survey (USGS) works cooperatively with the Bureau of Reclamation to provide scientific support for the management of Reclamation’s CVP project. Major habitat restoration efforts and a new water-diversion point are planned to benefit delta smelt (Hypomesus transpacificus) and other species of concern while ensuring the reliability of water supply. In addition, various flow actions and management activities have been identified as possible methods to increase populations of delta smelt and salmonid (Oncorhynchus spp.) runs of concern. The overarching goal of this cooperative project was to provide Reclamation with the scientific information needed to evaluate the efficacy of ongoing and future adaptive management actions and to improve the scientific basis for more flexible CVP operations that would achieve water-supply reliability and fish protection. The research and monitoring described in this report comprises the period 2015–19 and focuses on management issues related to native fish species of concern, especially delta smelt. Conserving the delta smelt population while providing a reliable water supply is a primary management and policy issue in California.
Our approach for this cooperative project is based on the “physics to fish” concept, the idea that high-quality habitat is generated and sustained by the interaction between physical processes and the landscape. These interactions create a template for chemical and biological processes that can change across a variety of spatial and temporal scales. Following this concept, this project (hereafter referred to as “the physics to fish project”) included monitoring and studies of water flows, sediments, water quality, and invertebrate and fish dynamics across a range of spatial and temporal scales and in regions relevant to resource managers tasked with managing water supplies and ecosystem health in the San Francisco Estuary. The intent of this approach was to document the habitat conditions, important processes, and interactions among them that create high-quality habitat for native fishes so that the likely effects of future management actions (for example, habitat restoration) can be objectively assessed at the local (site-specific), regional (within subregions of the estuary), and landscape (across the entire estuary and beyond) scales.
Hydrodynamically, the upper estuary (landward of Carquinez Strait) is characterized by a fixed volume of tidally exchanged water (for example, tidal prism) that interacts with the existing channel network and bathymetry to create regions with differing hydrodynamics. Our results indicate that careful study of construction or reoperation of existing infrastructure to perform management actions can help (1) improve the accuracy of hydrodynamic models; (2) further understanding of ecological effects; and (3) enhance abilities to predict ecological outcomes. At the local scale, we developed a new concept called the Lagrangian to Eulerian (LE) ratio that can be used as a tool for understanding the importance of various hydrodynamic processes in specific channels or channel networks and for forecasting transport dynamics. Channels with LE ratios<1 in a channel network or in a dead-end slough are hydrodynamically able to develop an exchange zone between two parcels of water that may have different chemical and physical properties. In a dead-end channel, there is a landward region with long residence time (no-exchange zone) and a seaward region with short residence time (high-exchange zone) that are well mixed with seaward waters. At the transition (exchange zone) between the high and no-exchange regions, a gradient will form in water-quality constituents that differ in concentration between the landward and seaward waters.
Turbidity affects fish habitat and has declined through time in the San Francisco Estuary. Average turbidity across the Sacramento–San Joaquin Delta (hereafter referred to as “the Delta”) is dependent on annual hydrology. In dry years, the region around Cache Slough (known regionally as the “Cache Slough Complex”) in the northern Delta is generally more turbid than Suisun Bay and the lower Sacramento River. When the Yolo By-Pass (known regionally as “Yolo Bypass”), a large flood bypass that runs parallel to the Sacramento River in the northern Delta, is not flooding and river flows are lower, sediment is usually transported into the Cache Slough Complex because flood tides dominate ebb tides, resulting in transport of suspended sediment from seaward areas of the upper estuary into the Cache Slough Complex. These hydrodynamic conditions also favor the formation of turbidity maximums (TMs) in the Cache Slough Complex. The TMs are areas of higher suspended-sediment concentration, providing higher-turbidity habitat favored by some fishes, including delta smelt, and they can also concentrate other constituents, including phytoplankton and organic carbon that can be important in food webs.
Pelagic primary production by phytoplankton is the basis for Delta food webs supporting pelagic fishes such as delta smelt; however, phytoplankton abundance in the Delta has declined during recent decades. We examined how nutrients, hydrodynamics, and other factors affect phytoplankton blooms. Based on our results, we developed three new concepts of phytoplankton bloom formation in the Delta, each associated with a distinct set of hydrologic conditions. First, productivity cascades highlighted how local processes can contribute to phytoplankton blooms observed at the regional scale. Second, we observed phytoplankton blooms in the upper San Francisco Estuary that were associated with transport out of Yolo By-Pass (transport blooms). Third, we also documented a series of phytoplankton blooms that were in the confluence area at the landward edge of Suisun Bay. The conditions leading to creation of confluence phytoplankton blooms are not yet understood, but the confluence region connects the Cache Slough Complex with Suisun Marsh. Therefore, blooms in this area have the potential to spread to large areas of the Delta.
At the landscape scale, the distribution of the invasive clams (Potamocorbula amurensis and Corbicula fluminea, hereafter referred to as “Corbicula”) is driven by salinity. At smaller spatial scales, the distribution of either species is sensitive to multiple factors affecting survival and reproduction, complicating efforts to predict distribution and abundance without considering local-scale conditions across the area of interest. In the Cache Slough Complex, the area landward of the exchange zone in regions with LE ratio<1 were characterized by low abundances of Corbicula probably because recruits from seaward areas are not transported past the exchange zone and because there are no landward tributaries with adult Corbicula to provide an upstream source of recruits. Corbicula biomass was highest near or downstream from the exchange zone consistent with Corbicula grazing on phytoplankton produced in the exchange zone or transported from the no-exchange zone. The severity of Corbicula grazing could be reduced by manipulating the hydrodynamic characteristics of waterways; however, the beneficial and harmful effects on the organisms meant to benefit from increased phytoplankton production, including zooplankton and fish species of concern, should be thoroughly examined before manipulating hydrodynamic characteristics.
The distribution of fishes at the landscape scale is generally driven by the position of the salinity field in the estuary. The physics to fish project compared distributions of fishes at Ryer Island, a tidal wetland in Suisun Bay and a region of variable salinity, with fish distributions at the Cache Slough Complex, a freshwater region. At Ryer Island, there was an absence of freshwater invasive species and an abundance of native species, such as Sacramento splittail (Pogonichthys macrolepidotus), tule perch (Hysterocarpus traskii), and Sacramento pikeminnow (Ptychocheilus grandis). The native species were almost exclusively captured in wetland and nearshore shallow-water habitat regardless of water-quality conditions. In the Cache Slough Complex, our regional scale objective was to elucidate how hydrodynamic-physical habitat interactions drive fish-community structure. Our studies showed that dendritic channel systems were better able to support native species, while intertidal habitats supported those species best able to exploit the transient character of the habitat. Habitats upstream from the exchange zone were especially important in supporting high numbers of native fishes relative to within or downstream from the exchange zone. Many of the native species were associated with tidal marsh in the no-exchange zone. More pelagic-oriented, mobile species, such as Striped Bass (Morone saxatilis), threadfin shad (Dorosoma petenense), and Sacramento pikeminnow, were more affected by water-quality conditions, such as turbidity.
The physics to fish concept developed in this project provides a framework for designing individual projects and for considering the cumulative effects of multiple projects in a region, using the LE ratio as a guiding metric. The physics to fish concept may also provide a suitable framework for coordinating management actions. Tidal wetlands can function in several ways in the hydrodynamic framework. Relatively small tidal wetlands with short channel networks and with LE ratios>1 are not able to maintain a landward no-exchange zone or an exchange zone. This likely means that any contributions to pelagic food webs would be limited to resources derived from wetland vegetation, which can include dissolved and particulate organic matter (detritus) and populations of consumers that can increase in abundance based on those resources. The fate of the contributed production from these channels depends on the characteristics of the receiving waters seaward of the tidal wetland. If these channels join a large system such as Suisun Bay, then any contribution is likely to be rapidly dispersed in the larger volume; however, the channel junction might provide a focal point for consumers, such as fishes, to congregate and feed on material leaving the wetland on ebb tides before it is dispersed in the larger volume. Fishes might also access these resources by entering the wetland.
The physics to fish project has established a foundation and several new concepts for understanding how habitat restoration can benefit native fish populations at the local and regional levels. Many of the ideas regarding habitat restoration and channel modifications outlined in this report could help guide management actions that could improve conditions for native fishes at little or no water cost beyond water already dedicated to other management actions. A complete list of products originating from this work is provided in appendix 1.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231087","collaboration":"Prepared in cooperation with the Bureau of Reclamation","programNote":"Water Availability and Use Science Program","usgsCitation":"Brown, L.R., Ayers, D.E., Bergamaschi, B., Burau, J.R., Dailey, E.T., Downing, B., Downing-Kunz, M., Feyrer, F.V., Huntsman, B.M., Kraus, T., Morgan, T., Lacy, J.R., Parchaso, F., Ruhl, C.A., Stumpner, E., Stumpner, P., Thompson, J., and Young, M.J., 2024, Physics to fish—Understanding the factors that create and sustain native fish habitat in the San Francisco Estuary: U.S. Geological Survey Open-File Report 2023–1087, 150 p., https://doi.org/10.3133/ofr20231087.","productDescription":"xiv, 150 p.","numberOfPages":"150","onlineOnly":"Y","ipdsId":"IP-117031","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":499195,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115941.htm","linkFileType":{"id":5,"text":"html"}},{"id":424433,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2023/1087/ofr20231087.xml"},{"id":424432,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1087/ofr20231087.pdf","text":"Report","size":"40 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":424431,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1087/covrthb.jpg"},{"id":424434,"rank":4,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20231087/full"},{"id":424435,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2023/1087/images"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Estuary","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.24215111193803,\n 38.050843566230355\n ],\n [\n -122.16421759414595,\n 38.01748278998312\n ],\n [\n -122.05748255890899,\n 38.029494419842194\n ],\n [\n -121.8829792473305,\n 38.02282153523592\n ],\n [\n -121.79488048808702,\n 38.00947394286857\n ],\n [\n -121.63393083177675,\n 37.77148277334254\n ],\n [\n -121.54921998272637,\n 37.596454712018335\n ],\n [\n -121.20021285594603,\n 37.58778236337899\n ],\n [\n -121.14091561414786,\n 37.619995940468854\n ],\n [\n -121.23579120102502,\n 37.827705761824106\n ],\n [\n -121.31203051190909,\n 37.956059539803434\n ],\n [\n -121.3035594291396,\n 38.16548812176558\n ],\n [\n -121.37302191238913,\n 38.51099377471624\n ],\n [\n -121.5271947410649,\n 38.51497075813927\n ],\n [\n -121.70253648740135,\n 38.53378691521087\n ],\n [\n -121.75591267371628,\n 38.311864662587084\n ],\n [\n -121.77454894970978,\n 38.13351227227636\n ],\n [\n -121.89992026094106,\n 38.24802750266139\n ],\n [\n -122.04562205507428,\n 38.2653222757001\n ],\n [\n -122.17437842723578,\n 38.19478754877218\n ],\n [\n -122.24215111193803,\n 38.050843566230355\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director,
California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819
Director, Woods Hole Coastal and Marine Science Center
U.S. Geological Survey
384 Woods Hole Road
Quissett Campus
Woods Hole, MA 02543-1598
Lake trophic state is a key ecosystem property that integrates a lake’s physical, chemical, and biological processes. Despite the importance of trophic state as a gauge of lake water quality, standardized and machine-readable observations are uncommon. Remote sensing presents an opportunity to detect and analyze lake trophic state with reproducible, robust methods across time and space. We used Landsat surface reflectance data to create the first compendium of annual lake trophic state for 55,662 lakes of at least 10 ha in area throughout the contiguous United States from 1984 through 2020. The dataset was constructed with FAIR data principles (Findable, Accessible, Interoperable, and Reproducible) in mind, where data are publicly available, relational keys from parent datasets are retained, and all data wrangling and modeling routines are scripted for future reuse. Together, this resource offers critical data to address basic and applied research questions about lake water quality at a suite of spatial and temporal scales.
Explosive volcanic eruptions produce vast quantities of silicate ash, whose surfaces are subsequently altered during atmospheric transit. These altered surfaces mediate environmental interactions, including atmospheric ice nucleation, and toxic effects in biota. A lack of knowledge of the initial, pre-altered ash surface has required previous studies to assume that the ash surface composition created during magmatic fragmentation is equivalent to the bulk particle assemblage. Here we examine ash particles generated by controlled fragmentation of andesite and find that fragmentation generates ash particles with substantial differences in surface chemistry. We attribute this disparity to observations of nanoscale melt heterogeneities, in which Fe-rich nanophases in the magmatic melt deflect and blunt fractures, thereby focusing fracture propagation within aureoles of single-phase melt formed during diffusion-limited growth of crystals. In this manner, we argue that commonly observed pre-eruptive microtextures caused by disequilibrium crystallisation and/or melt unmixing can modify fracture propagation and generate primary discrepancies in ash surface chemistry, an essential consideration for understanding the cascading consequences of reactive ash surfaces in various environments.
","language":"English","publisher":"Nature","doi":"10.1038/s41467-024-44712-6","usgsCitation":"Hornby, A., Ayris, P., Damby, D., Diplas, S., Eychenne, J., Kendrick, J.E., Cimarelli, C., Kueppers, U., Scheu, B., Utley, J.E., and Dingwell, D.B., 2024, Nanoscale silicate melt textures determine volcanic ash surface chemistry: Nature Communications, v. 15, 531, 10 p., https://doi.org/10.1038/s41467-024-44712-6.","productDescription":"531, 10 p.","ipdsId":"IP-150779","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":440699,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-024-44712-6","text":"Publisher Index Page"},{"id":426240,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","noUsgsAuthors":false,"publicationDate":"2024-01-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Hornby, Adrian","contributorId":334524,"corporation":false,"usgs":false,"family":"Hornby","given":"Adrian","email":"","affiliations":[{"id":80162,"text":"Cornell University, USA","active":true,"usgs":false}],"preferred":false,"id":895847,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ayris, Paul M","contributorId":269559,"corporation":false,"usgs":false,"family":"Ayris","given":"Paul M","affiliations":[{"id":36958,"text":"LMU Munich, Germany","active":true,"usgs":false}],"preferred":false,"id":895848,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Damby, David 0000-0002-3238-3961","orcid":"https://orcid.org/0000-0002-3238-3961","contributorId":206614,"corporation":false,"usgs":true,"family":"Damby","given":"David","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":895849,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Diplas, Spyros","contributorId":334525,"corporation":false,"usgs":false,"family":"Diplas","given":"Spyros","email":"","affiliations":[{"id":80164,"text":"SINTEF, Norway","active":true,"usgs":false}],"preferred":false,"id":895850,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eychenne, Julia","contributorId":168818,"corporation":false,"usgs":false,"family":"Eychenne","given":"Julia","email":"","affiliations":[{"id":25364,"text":"Univ. Hawai`i","active":true,"usgs":false}],"preferred":false,"id":895851,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kendrick, Jackie E. 0000-0001-5106-3587","orcid":"https://orcid.org/0000-0001-5106-3587","contributorId":301159,"corporation":false,"usgs":false,"family":"Kendrick","given":"Jackie","email":"","middleInitial":"E.","affiliations":[{"id":47800,"text":"Ludwig Maximilian University of Munich","active":true,"usgs":false}],"preferred":false,"id":895852,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cimarelli, Corrado","contributorId":257017,"corporation":false,"usgs":false,"family":"Cimarelli","given":"Corrado","affiliations":[{"id":47800,"text":"Ludwig Maximilian University of Munich","active":true,"usgs":false}],"preferred":false,"id":895853,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kueppers, Ulli","contributorId":334526,"corporation":false,"usgs":false,"family":"Kueppers","given":"Ulli","email":"","affiliations":[{"id":36958,"text":"LMU Munich, Germany","active":true,"usgs":false}],"preferred":false,"id":895854,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Scheu, Bettina","contributorId":334527,"corporation":false,"usgs":false,"family":"Scheu","given":"Bettina","email":"","affiliations":[{"id":36958,"text":"LMU Munich, Germany","active":true,"usgs":false}],"preferred":false,"id":895855,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Utley, James E. P.","contributorId":243410,"corporation":false,"usgs":false,"family":"Utley","given":"James","email":"","middleInitial":"E. P.","affiliations":[{"id":16977,"text":"University of Liverpool","active":true,"usgs":false}],"preferred":false,"id":895856,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Dingwell, Donald B.","contributorId":201841,"corporation":false,"usgs":false,"family":"Dingwell","given":"Donald","email":"","middleInitial":"B.","affiliations":[{"id":36273,"text":"Ludwig-Maximilians-Universität (LMU) München","active":true,"usgs":false}],"preferred":false,"id":895857,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70250971,"text":"70250971 - 2024 - Assessing the accuracy of OpenET satellite-based evapotranspiration data to support water resource and land management applications","interactions":[],"lastModifiedDate":"2024-02-26T16:09:33.794329","indexId":"70250971","displayToPublicDate":"2024-01-15T05:56:57","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17124,"text":"Nature Water","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the accuracy of OpenET satellite-based evapotranspiration data to support water resource and land management applications","docAbstract":"Remotely sensed evapotranspiration (ET) data offer strong potential to support data-driven approaches for sustainable water management. However, practitioners require robust and rigorous accuracy assessments of such data. The OpenET system, which includes an ensemble of six remote sensing models, was developed to increase access to field-scale (30 m) ET data for the contiguous United States. Here we compare OpenET outputs against data from 152 in situ stations, primarily eddy covariance flux towers, deployed across the contiguous United States. Mean absolute error at cropland sites for the OpenET ensemble value is 15.8 mm per month (17% of mean observed ET), mean bias error is −5.3 mm per month (6%) and r2 is 0.9. Results for shrublands and forested sites show higher inter-model variability and lower accuracy relative to croplands. High accuracy and multi-model convergence across croplands demonstrate the utility of a model ensemble approach, and enhance confidence among ET data practitioners, including the agricultural water resource management community.
Larval lampreys are filter feeders that live for several years burrowed in fine sediments in freshwater streams. Stream side channels and edges, where larval lampreys gather, are vulnerable to natural and human-caused dewatering. Water level reductions can strand and kill thousands of larval lampreys, in part because many remain burrowed until their habitats are exposed, at which point larvae must emerge and attempt to move over dewatered substrate to locate wetted habitat. Dewatering for restoration efforts or seasonal closures of irrigation canals can be done slowly to reduce lamprey strandings, but in some settings, mechanisms are lacking to control the dewatering rate. Phased dewatering, where water level is reduced in stages separated by periods of static water level, could provide options when dewatering rate cannot be tightly controlled. To guide this phased approach, information is needed on the movement capability of larval lampreys. We examined larval lamprey (Entosphenus tridentatus and Lampetra spp.) movement distance and rate over dewatered substrate at shoreline slopes of 1%, 5%, 10% and 20% in a laboratory setting and modelled results using gamma regression models. Model results suggest both movement distance and movement rate increased with increasing slope and increasing larval length. We used the models to predict minimum distances and rates that 90%, 75% and 50% of medium-sized (75 mm) lampreys would move over dewatered substrates on slopes of 1%–20%. The models predicted that 50% of larvae could move distances of ≥31 cm at rates of ≥0.7 mm/s on a 1% slope and distances of ≥502 cm at rates of ≥8.6 mm/s on a 20% slope. We present an example scenario of how information on larval movement capabilities and shoreline slope could guide phased dewatering events to limit impacts to lampreys.
The potential influence (i.e., impact rate) of catch-and-release fisheries on wild steelhead Oncorhynchus mykiss is poorly understood and is a function of the abundance of wild fish, how many fish are encountered by anglers (i.e., encounter rate), and the mortality of fish that are caught and released. In Idaho, estimates of wild steelhead encounter rates have been derived using the number of wild and hatchery steelhead passing Lower Granite Dam, the number of hatchery steelhead harvested, and the number of hatchery steelhead caught and released. The method includes assumptions that hatchery and wild steelhead have equal encounter rates and catch-and-release mortality is 5% for wild steelhead. Here, we investigated wild and hatchery steelhead encounter rates by anglers, estimated catch-and-release mortality, and concatenated both aspects to examine how existing recreational steelhead fisheries influence wild steelhead mortality.
We sampled, tagged, and released 1,251 spawn-year 2020 (SY2020) and 1,956 spawn-year 2021 (SY2021) adult steelhead at Lower Granite Dam with T-bar anchor tags and passive integrated transponder (PIT) tags to estimate steelhead encounter rates and catch-and-release mortality. Differences in survival of caught steelhead and those not reported as caught were evaluated using detections at various locations (e.g., PIT arrays, weirs).
Estimated encounter rates were 43.7% (95% credible interval; 28.2%, 100.0%) for wild fish and 46.7% (29.6%, 100.0%) for adipose-clipped fish in SY2020. In SY2021, encounter rates were 47.2% (32.4%, 100.0%) for wild fish and 52.3% (37.1%, 100.0%) for adipose-clipped fish. Based on detections of caught fish and those not reported as caught, catch-and-release mortality of wild steelhead was estimated to be 1.6% (0.0%, 5.2%). Wild steelhead impact rates were 0.7% (0.0%, 2.7%) in SY2020 and 0.7% (0.0%, 2.8%) in SY2021.
Estimated rates of impact on wild steelhead were consistent and low across years despite major differences in the structure of the fisheries. Our results suggest assuming that encounter rates are equal between hatchery and wild steelhead, and that steelhead catch-and-release mortality is 5%, will likely lead to a conservative estimate of the wild steelhead impact occurring from catch-and-release fisheries.
","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10965","usgsCitation":"Lubenau, W., Johnson, T., Bowersox, B.J., Copeland, T., McCormick, J., and Quist, M.C., 2024, Encounter rates and catch-and-release mortality of steelhead in the Snake River basin: North American Journal of Fisheries Management, v. 44, no. 1, p. 3-20, https://doi.org/10.1002/nafm.10965.","productDescription":"18 p.","startPage":"3","endPage":"20","ipdsId":"IP-138056","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":499240,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nafm.10965","text":"Publisher Index Page"},{"id":429774,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Oregon, Washington","otherGeospatial":"Snake River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.25176138519251,\n 46.98281133612059\n ],\n [\n -121.40241600407204,\n 46.98281133612059\n ],\n [\n -121.40241600407204,\n 44.921659530735724\n ],\n [\n -116.25176138519251,\n 44.921659530735724\n ],\n [\n -116.25176138519251,\n 46.98281133612059\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"44","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-01-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Lubenau, William","contributorId":337818,"corporation":false,"usgs":false,"family":"Lubenau","given":"William","email":"","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":902709,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Timothy B.","contributorId":251690,"corporation":false,"usgs":false,"family":"Johnson","given":"Timothy B.","affiliations":[{"id":50374,"text":"Ontario Ministry of Natural Resources and Forests (OMNRF)","active":true,"usgs":false}],"preferred":false,"id":902714,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bowersox, Brett J.","contributorId":265299,"corporation":false,"usgs":false,"family":"Bowersox","given":"Brett","email":"","middleInitial":"J.","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":902711,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Copeland, Timothy","contributorId":265301,"corporation":false,"usgs":false,"family":"Copeland","given":"Timothy","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":902712,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCormick, Joshua","contributorId":337819,"corporation":false,"usgs":false,"family":"McCormick","given":"Joshua","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":902713,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Quist, Michael C. 0000-0001-8268-1839","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":207142,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":902710,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70232897,"text":"70232897 - 2024 - Opportunities for improved consideration of cultural benefits in environmental decision-making","interactions":[],"lastModifiedDate":"2024-02-02T15:19:13.468689","indexId":"70232897","displayToPublicDate":"2024-01-13T09:14:10","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1477,"text":"Ecosystem Services","active":true,"publicationSubtype":{"id":10}},"title":"Opportunities for improved consideration of cultural benefits in environmental decision-making","docAbstract":"Many cultural benefits of ecosystem services (ES) are difficult to capture in standard ES assessments. Scholars and practitioners often respond to this gap by seeking to develop new scientific methods to capture and integrate the plural values associated with diverse cultural benefits categories. This increasing emphasis on value pluralism represents an essential step toward recognitional justice within ES theory and practice. However, current approaches continue to rest on the assumption that ES-knowledge is only made available to decision-makers through scientific documentation. As a result, scholars and decision-makers fail to account for the role of knowledge pluralism as a core element of recognitional justice, and a key enabling factor for meaningful consideration of the plural values linked to cultural benefits of ES. In this paper, we contribute to a pluralist theory of cultural-benefits-knowledge, and ES-knowledge more broadly. Using a critical interpretive synthesis of environmental management literature, we conceptualize a wider range of knowledge forms that convey cultural benefits, based on the knowledge-as-practice concept in addition to the knowledge-as-product concept more familiar to Western actors. As part of the synthesis, we explore when and how diverse forms of cultural-benefits-knowledge intersect with decision-making processes, and the value aspects and categories of cultural benefits most frequently conveyed by each form of knowledge. Our synthesizing argument offers a critique of the concept of “ES-knowledge-use,” proposing a shift in focus toward “learning opportunities” that exist across phases of decision-making. We demonstrate that attention to a greater diversity of knowledge forms (knowledge pluralism), and a fuller spectrum of opportunities to integrate them (learning opportunities) can support more meaningful consideration of the plural values associated with cultural benefits of ES (value pluralism). In combination, attention to knowledge pluralism and value pluralism can help bring the ES approach into alignment with environmental justice through the recognition and legitimization of multiple identities, well-beings, and human-nature relationships, as reflected in meaningful consideration of the diverse cultural benefits of ES.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoser.2023.101587","usgsCitation":"Hoelting, K.R., Morse, J., Gould, R.K., Martinez, D.E., Hauptfeld, R.S., Cravens, A.E., Breslow, S.J., Bair, L., Schuster, R., and Gavin, M.C., 2024, Opportunities for improved consideration of cultural benefits in environmental decision-making: Ecosystem Services, v. 65, 101587, 21 p., https://doi.org/10.1016/j.ecoser.2023.101587.","productDescription":"101587, 21 p.","ipdsId":"IP-137343","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":440711,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoser.2023.101587","text":"Publisher Index Page"},{"id":425287,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"65","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hoelting, Kristin R.","contributorId":293120,"corporation":false,"usgs":false,"family":"Hoelting","given":"Kristin","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":846440,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morse, Joshua M","contributorId":293121,"corporation":false,"usgs":false,"family":"Morse","given":"Joshua M","affiliations":[{"id":63230,"text":"The University of Vermont","active":true,"usgs":false}],"preferred":false,"id":846441,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gould, Rachelle K. 0000-0002-6307-8783","orcid":"https://orcid.org/0000-0002-6307-8783","contributorId":213456,"corporation":false,"usgs":false,"family":"Gould","given":"Rachelle","email":"","middleInitial":"K.","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":846442,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martinez, Doreen E.","contributorId":293122,"corporation":false,"usgs":false,"family":"Martinez","given":"Doreen","email":"","middleInitial":"E.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":846443,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hauptfeld, Rina S.","contributorId":293123,"corporation":false,"usgs":false,"family":"Hauptfeld","given":"Rina","email":"","middleInitial":"S.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":846444,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cravens, Amanda E. 0000-0002-0271-7967 aecravens@usgs.gov","orcid":"https://orcid.org/0000-0002-0271-7967","contributorId":196752,"corporation":false,"usgs":true,"family":"Cravens","given":"Amanda","email":"aecravens@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":846445,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Breslow, Sara J.","contributorId":293124,"corporation":false,"usgs":false,"family":"Breslow","given":"Sara","email":"","middleInitial":"J.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":846446,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bair, Lucas 0000-0002-9911-3624","orcid":"https://orcid.org/0000-0002-9911-3624","contributorId":248714,"corporation":false,"usgs":true,"family":"Bair","given":"Lucas","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":846447,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schuster, Rudy 0000-0003-2353-8500 schusterr@usgs.gov","orcid":"https://orcid.org/0000-0003-2353-8500","contributorId":3119,"corporation":false,"usgs":true,"family":"Schuster","given":"Rudy","email":"schusterr@usgs.gov","affiliations":[],"preferred":true,"id":846448,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gavin, Michael C.","contributorId":191696,"corporation":false,"usgs":false,"family":"Gavin","given":"Michael","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":846449,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70253040,"text":"70253040 - 2024 - Prey selection by black-footed ferrets (Mustela nigripes): Implications for intersexual resource partitioning and conservation","interactions":[],"lastModifiedDate":"2024-04-17T12:17:24.623648","indexId":"70253040","displayToPublicDate":"2024-01-13T07:14:40","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Prey selection by black-footed ferrets (Mustela nigripes): Implications for intersexual resource partitioning and conservation","docAbstract":"Intraspecific resource partitioning may play a critical role in how predators optimize prey selection. The Black-footed Ferret (Mustela nigripes; henceforth, ferret) is a highly specialized predator of prairie dogs (Cynomys spp.; henceforth, PDs). Adult ferrets are sexually dimorphic and PDs are of similar size making them a difficult prey item. PD young are born 6 to 8 weeks prior to births of ferrets, producing a crop of smaller prey items during a period when energetic needs of female ferrets are highest. We asked whether relatively small female ferrets select small PDs as prey. We examined survival rates from early to late summer for large and small black-tailed PDs (Cynomys ludovicianus) in Montana and South Dakota as a function of their distance to adult male and female ferrets using capture–mark–recapture of PDs and simultaneous summer monitoring of ferret locations. Survival of small PDs (<600 g) was low when a female ferret was nearby, but distance to nearest female ferret did not affect survival of large PDs. Distance to the nearest male ferret did not influence survival regardless of PD size. Reduced competition from males for a critical food resource needed by females rearing young would benefit fitness of both sexes. If female ferrets depend on young PDs during their reproductive period, existing habitat models may substantially overestimate ferret carrying capacity.
","language":"English","publisher":"American Society of Mammalogists","doi":"10.1093/jmammal/gyad132","usgsCitation":"Biggins, D.E., Eads, D.A., Ramakrishnan, S., Goldberg, A., Eads, S., Hardin, J., and Konkel, D., 2024, Prey selection by black-footed ferrets (Mustela nigripes): Implications for intersexual resource partitioning and conservation: Journal of Mammalogy, v. 105, no. 2, p. 221-229, https://doi.org/10.1093/jmammal/gyad132.","productDescription":"9 p.","startPage":"221","endPage":"229","ipdsId":"IP-138897","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":440714,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1093/jmammal/gyad132","text":"Publisher Index Page"},{"id":435061,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CWW8GZ","text":"USGS data release","linkHelpText":"Data on black-tailed prairie dog body mass, distance to nearest male and female black-footed ferret, distance to nearest American badger, and reencounter from early to late summer 2005 (Montana) and 2009 (South Dakota)"},{"id":427842,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"105","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-01-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Biggins, Dean E. 0000-0003-2078-671X bigginsd@usgs.gov","orcid":"https://orcid.org/0000-0003-2078-671X","contributorId":2522,"corporation":false,"usgs":true,"family":"Biggins","given":"Dean","email":"bigginsd@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":898998,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eads, David A. 0000-0002-4247-017X deads@usgs.gov","orcid":"https://orcid.org/0000-0002-4247-017X","contributorId":173639,"corporation":false,"usgs":true,"family":"Eads","given":"David","email":"deads@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":898999,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ramakrishnan, Shantini","contributorId":265765,"corporation":false,"usgs":false,"family":"Ramakrishnan","given":"Shantini","affiliations":[{"id":54787,"text":"Denver Zoological Foundation","active":true,"usgs":false}],"preferred":false,"id":899000,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goldberg, Amanda R.","contributorId":288043,"corporation":false,"usgs":false,"family":"Goldberg","given":"Amanda R.","affiliations":[{"id":39599,"text":"ui","active":true,"usgs":false}],"preferred":false,"id":899001,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eads, Samantha L.","contributorId":332613,"corporation":false,"usgs":false,"family":"Eads","given":"Samantha L.","affiliations":[{"id":13693,"text":"University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":899002,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hardin, Joanna","contributorId":335653,"corporation":false,"usgs":false,"family":"Hardin","given":"Joanna","email":"","affiliations":[],"preferred":false,"id":899003,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Konkel, Darla","contributorId":335654,"corporation":false,"usgs":false,"family":"Konkel","given":"Darla","email":"","affiliations":[],"preferred":false,"id":899004,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70250968,"text":"70250968 - 2024 - Saltwater intrusion and sea level rise threatens U.S. rural coastal landscapes and communities","interactions":[],"lastModifiedDate":"2024-01-25T14:59:54.182525","indexId":"70250968","displayToPublicDate":"2024-01-13T07:04:58","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":815,"text":"Anthropocene","active":true,"publicationSubtype":{"id":10}},"title":"Saltwater intrusion and sea level rise threatens U.S. rural coastal landscapes and communities","docAbstract":"The United States (U.S.) coastal plain is subject to rising sea levels, land subsidence, more severe coastal storms, and more intense droughts. These changes lead to inputs of marine salts into freshwater-dependent coastal systems, creating saltwater intrusion. The penetration of salinity into the coastal interior is exacerbated by groundwater extraction and the high density of agricultural canals and ditches throughout much of the rural U.S. landscape. Together saltwater intrusion and sea level rise (SWISLR) create substantial changes to the social-ecological systems situated along the coastal plain. Many scholars and practitioners are engaged in studying and managing SWISLR impacts on social, economic, and ecological systems. However, most efforts are localized and disconnected, despite a widespread desire to understand this common threat. In addition to variable rates of sea level rise across the U.S. outer coastal plain, differences in geomorphic setting, water resources infrastructure and management, and climate extremes are resulting in different patterns of saltwater intrusion. Understanding both the absolute magnitude of this rapid environmental change, and the causes and consequences for its spatial and temporal variation presents an opportunity to build new mechanistic models to link directional climate change to temporally and spatially dynamic socio-environmental impacts. The diverse trajectories of change offer rich opportunities to test and refine modern theories of ecosystem state change in systems with exceptionally strong socioecological feedbacks.