The U.S. Geological Survey collected water velocity and water quality data from salt marshes in Great Channel, southwest of Stone Harbor, New Jersey, and near Thompsons Beach, New Jersey, to evaluate restoration effectiveness after Hurricane Sandy and monitor postrestoration marsh health. Time series data of turbidity and water velocity were collected from 2018 to 2019 and 2022 to 2023 at both sites. Water samples were collected and analyzed for suspended-sediment concentration (SSC), which was used to derive a regression model to estimate a time series of SSC data from turbidity data. The SSC time series data were then combined with the water velocity data to calculate the flood-ebb SSC differential. This report presents the data collection methods, the repeated median regression model used to estimate SSC from turbidity, and the flood-ebb SSC differential calculations.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1193","programNote":"Coastal/Marine Hazards and Resources Program","usgsCitation":"De Meo, O.A., Bales, R.D., Ganju, N.K., Marsjanik, E.D., and Suttles, S.E., 2024, Calculation of a suspended-sediment concentration-turbidity regression model and flood-ebb suspended-sediment concentration differentials from marshes near Stone Harbor and Thompsons Beach, New Jersey, 2018–19 and 2022–23: U.S. Geological Survey Data Report 1193, 12 p., https://doi.org/10.3133/dr1193.","productDescription":"Report: iv, 12 p.; 2 Data Releases","numberOfPages":"12","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-162873","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":499107,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_116368.htm","linkFileType":{"id":5,"text":"html"}},{"id":427955,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1193/dr1193.XML"},{"id":427958,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CS5U6N","text":"USGS data release","linkHelpText":"Supplementary data in support of oceanographic and water quality times-series measurements made at Thompsons Beach and Stone Harbor, NJ from September 2018 to February 2023"},{"id":427957,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9Z0Z8DM","text":"USGS data release","linkHelpText":"Time-series measurements of oceanographic and water quality data collected at Thompsons Beach and Stone Harbor, New Jersey, USA, September 2018 to September 2019 and March 2022 to May 2023"},{"id":427956,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1193/images/"},{"id":427954,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/dr1193/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"DR 1193"},{"id":427953,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1193/dr1193.pdf","text":"Report","size":"3.17 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DR 1193"},{"id":427952,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1193/coverthb.jpg"}],"country":"United States","state":"New Jersey","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -74.65514977013649,\n 39.123992018486376\n ],\n [\n -74.84847491860745,\n 39.123992018486376\n ],\n [\n -74.84847491860745,\n 39.01856524124548\n ],\n [\n -74.65514977013649,\n 39.01856524124548\n ],\n [\n -74.65514977013649,\n 39.123992018486376\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Woods Hole Coastal and Marine Science Center
U.S. Geological Survey
384 Woods Hole Road
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Dams and reservoirs can alter juvenile growth and survival of migratory salmonids through several physical and biological mechanisms. Juvenile Chinook Salmon Oncorhynchus tshawytscha that are produced upstream of large hydropower dams may have associated passage mortality, but the reservoirs created by these dams can support rapid growth. Characterizing the biotic drivers of growth and mortality in reservoirs may aid in understanding the cumulative effects of river impoundments on migratory salmonid populations. The purpose of this study was to understand how reservoirs facilitate rapid growth in juvenile Chinook Salmon.
We analyzed stomach contents to determine diet composition throughout the summer and fall. We also recorded prevalence of the parasitic nematode Philonema sp. in the coeloms of fish.
We found that juvenile Chinook Salmon frequently consumed young-of-year centrarchids, which likely contributed to rapid growth. Piscivory was highest from July through October and decreased with surface temperature from November through December. Correspondingly, zooplankton and arthropod consumption increased in November and December. Prevalence of visible Philonema sp. infections in the coelom was high (34.6%), negatively associated with time, and nonlinearly associated with fork length.
These findings reveal unique diet patterns and suggest potential parasite-associated mortality in reservoir-rearing Chinook Salmon, but more detailed studies across a longer time scale are needed to robustly assess the population-level effects of this parasite.
","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10462","usgsCitation":"Larson, M.S., Choudhury, A., Gardner, E.N., Konstantinidis, P., Murphy, C.A., Kent, M., Peterson, J., and Couch, C.E., 2024, Unique diet and Philonema sp. infections in reservoir-rearing juvenile Chinook Salmon: Transaction of the American Fisheries Society, https://doi.org/10.1002/tafs.10462.","ipdsId":"IP-154629","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":430215,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":430112,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.1002/tafs.10462"}],"noUsgsAuthors":false,"publicationDate":"2024-04-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Larson, Marina S.","contributorId":339223,"corporation":false,"usgs":false,"family":"Larson","given":"Marina","email":"","middleInitial":"S.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":903870,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Choudhury, Anindo","contributorId":339225,"corporation":false,"usgs":false,"family":"Choudhury","given":"Anindo","affiliations":[{"id":81256,"text":"Norbert College","active":true,"usgs":false}],"preferred":false,"id":903871,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gardner, Ethan N.","contributorId":339226,"corporation":false,"usgs":false,"family":"Gardner","given":"Ethan","email":"","middleInitial":"N.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":903872,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Konstantinidis, Peter","contributorId":339228,"corporation":false,"usgs":false,"family":"Konstantinidis","given":"Peter","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":903873,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Murphy, Christina Amy 0000-0002-3467-6610","orcid":"https://orcid.org/0000-0002-3467-6610","contributorId":335232,"corporation":false,"usgs":true,"family":"Murphy","given":"Christina","email":"","middleInitial":"Amy","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":903874,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kent, Michael L.","contributorId":339229,"corporation":false,"usgs":false,"family":"Kent","given":"Michael L.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":903875,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903876,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Couch, Claire E.","contributorId":339230,"corporation":false,"usgs":false,"family":"Couch","given":"Claire","email":"","middleInitial":"E.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":903877,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70254651,"text":"70254651 - 2024 - Phylogenomics, male internal genitalia, a new species, and other notes on New World Stenopelmatus Jerusalem crickets (Orthoptera: Stenopelmatoidea: Stenopelmatini)","interactions":[],"lastModifiedDate":"2024-06-06T14:56:11.040697","indexId":"70254651","displayToPublicDate":"2024-04-22T09:51:52","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3814,"text":"Zootaxa","onlineIssn":"1175-5334","printIssn":"1175-5326","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Phylogenomics, male internal genitalia, a new species, and other notes on New World Stenopelmatus Jerusalem crickets (Orthoptera: Stenopelmatoidea: Stenopelmatini)","title":"Phylogenomics, male internal genitalia, a new species, and other notes on New World Stenopelmatus Jerusalem crickets (Orthoptera: Stenopelmatoidea: Stenopelmatini)","docAbstract":"Based on past and expanded DNA sampling, the orthopteran families Stenopelmatidae and Anostostomatidae, as currently structured, are shown to be non-monophyletic. The splay-footed cricket genus Comicus is confirmed to be genetically distinct from all Stenopelmatidae. We add two specimens to our previously published phylogenetic tree for New World Stenopelmatus Jerusalem cricket species and report the first multilocus DNA recovery for S. ater from Costa Rica. Male internal genitalia may be of systematic value in Jerusalem crickets, but we believe they should be analyzed when in their unfolded, “physiologically functional” configuration, where morphological characters can be seen in more detail when compared to their preserved, folded state. We describe Stenopelmatus nuevoguatemalae n. sp. from Guatemala.
","language":"English","publisher":"Magnolia Press","doi":"10.11646/ZOOTAXA.5443.2.6","usgsCitation":"Weissman, D.B., Song, H., and Vandergast, A.G., 2024, Phylogenomics, male internal genitalia, a new species, and other notes on New World Stenopelmatus Jerusalem crickets (Orthoptera: Stenopelmatoidea: Stenopelmatini): Zootaxa, v. 5443, no. 2, p. 237-252, https://doi.org/10.11646/ZOOTAXA.5443.2.6.","productDescription":"16 p.","startPage":"237","endPage":"252","ipdsId":"IP-164986","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":490044,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.11646/zootaxa.5443.2.6","text":"External Repository"},{"id":429574,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Guatemala","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-90.09555,13.73534],[-90.60862,13.90977],[-91.23241,13.92783],[-91.68975,14.12622],[-92.22775,14.53883],[-92.20323,14.8301],[-92.08722,15.06458],[-92.22925,15.25145],[-91.74796,16.06656],[-90.46447,16.06956],[-90.43887,16.41011],[-90.60085,16.47078],[-90.71182,16.68748],[-91.08167,16.91848],[-91.45392,17.25218],[-91.00227,17.25466],[-91.00152,17.81759],[-90.06793,17.81933],[-89.14308,17.80832],[-89.15081,17.01558],[-89.22912,15.88694],[-88.93061,15.88727],[-88.60459,15.70638],[-88.51836,15.85539],[-88.22502,15.72772],[-88.68068,15.34625],[-89.15481,15.06642],[-89.22522,14.87429],[-89.14554,14.67802],[-89.35333,14.42413],[-89.58734,14.36259],[-89.53422,14.24482],[-89.72193,14.13423],[-90.06468,13.88197],[-90.09555,13.73534]]]},\"properties\":{\"name\":\"Guatemala\"}}]}","volume":"5443","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-04-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Weissman, David B.","contributorId":337165,"corporation":false,"usgs":false,"family":"Weissman","given":"David","email":"","middleInitial":"B.","affiliations":[{"id":12937,"text":"California Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":902154,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Song, Hojun","contributorId":256903,"corporation":false,"usgs":false,"family":"Song","given":"Hojun","email":"","affiliations":[{"id":13321,"text":"Texas A & M University","active":true,"usgs":false}],"preferred":false,"id":902155,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vandergast, Amy G. 0000-0002-7835-6571","orcid":"https://orcid.org/0000-0002-7835-6571","contributorId":57201,"corporation":false,"usgs":true,"family":"Vandergast","given":"Amy","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":902156,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70253135,"text":"ofr20241026 - 2024 - ECCOE Landsat quarterly Calibration and Validation report—Quarter 4, 2023","interactions":[],"lastModifiedDate":"2024-12-11T16:15:18.192331","indexId":"ofr20241026","displayToPublicDate":"2024-04-22T09:28:44","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-1026","displayTitle":"ECCOE Landsat Quarterly Calibration and Validation Report—Quarter 4, 2023","title":"ECCOE Landsat quarterly Calibration and Validation report—Quarter 4, 2023","docAbstract":"The U.S. Geological Survey Earth Resources Observation and Science Calibration and Validation (Cal/Val) Center of Excellence (ECCOE) focuses on improving the accuracy, precision, calibration, and product quality of remote-sensing data, leveraging years of multiscale optical system geometric and radiometric calibration and characterization experience. The ECCOE Landsat Cal/Val Team continually monitors the geometric and radiometric performance of active Landsat missions and makes calibration adjustments, as needed, to maintain data quality at the highest level.
This report provides observed geometric and radiometric analysis results for Landsats 7, 8, and 9 for quarter 4 (October–December) of 2023. All data used to compile the Cal/Val analysis results presented in this report are freely available from the U.S. Geological Survey EarthExplorer website: https://earthexplorer.usgs.gov.
This is the second quarterly report to include analysis results for Landsat 9, which was launched in September 2021. The inclusion of Landsat 9 analysis results was dependent on two factors: a complete reprocessing of the Landsat 9 data archive and enough time elapsing to begin formulating lifetime trends. In April 2023, all Landsat 9 image data acquired since the satellite’s launch were reprocessed to take advantage of calibration updates identified by the ECCOE Landsat Cal/Val Team. Additional information about the Landsat 9 reprocessing effort is available at https://www.usgs.gov/landsat-missions/news/upcoming-reprocessing-all-landsat-9-data. Additional information about Landsat 9 prelaunch, commissioning, and early on-orbit imaging performance is available at https://www.mdpi.com/journal/remotesensing/special_issues/15B4V2K92K.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241026","usgsCitation":"Haque, M.O., Rengarajan, R., Lubke, M., Hasan, M.N., Shrestha, A., Shaw, J.L., Denevan, A., Ruslander, K., Micijevic, E., Choate, M.J., Anderson, C., Thome, K., Barsi, J., Kaita, E., Levy, R., Miller, J., and Ding, L., 2024, ECCOE Landsat quarterly Calibration and Validation report—Quarter 4, 2023 (ver. 1.1, December 2024): U.S. Geological Survey Open-File Report 2024–1026, 62 p., https://doi.org/10.3133/ofr20241026.","productDescription":"Report: ix, 62 p.; Dataset","numberOfPages":"76","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-162286","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":427978,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1026/coverthb2.jpg"},{"id":427981,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1026/images/"},{"id":427979,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1026/ofr20241026.pdf","text":"Report","size":"5.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024–1026"},{"id":427980,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1026/ofr20241026.XML"},{"id":427982,"rank":5,"type":{"id":28,"text":"Dataset"},"url":"https://earthexplorer.usgs.gov/","text":"USGS database","linkHelpText":"—EarthExplorer"},{"id":427983,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241026/full"},{"id":464893,"rank":7,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2024/1026/versionHist.txt","size":"1 KB","linkFileType":{"id":2,"text":"txt"}}],"edition":"Version 1.0: April 22, 2024; Version 1.1: December 11, 2024","contact":"Director, Earth Resources Observation and Science Center
U.S. Geological Survey
47914 252nd Street
Sioux Falls, SD 57198
Infectious hematopoietic necrosis virus (IHNV) and viral hemorrhagic septicemia virus (VHSV) are rhabdoviruses in two different species belonging to the Novirhabdovirus genus. IHNV has a narrow host range restricted to trout and salmon species, and viruses in the M genogroup of IHNV have high virulence in rainbow trout (Oncorhynchus mykiss). In contrast, the VHSV genotype IVb that invaded the Great Lakes in the United States has a broad host range, with high virulence in yellow perch (Perca flavescens), but not in rainbow trout. By using reverse-genetic systems of IHNV-M and VHSV-IVb strains, we generated six IHNV:VHSV chimeric viruses in which the glycoprotein (G), non-virion-protein (NV), or both G and NV genes of IHNV-M were replaced with the analogous genes from VHSV-IVb, and vice versa. These chimeric viruses were used to challenge groups of rainbow trout and yellow perch. The parental recombinants rIHNV-M and rVHSV-IVb were highly virulent in rainbow trout and yellow perch, respectively. Parental rIHNV-M was avirulent in yellow perch, and chimeric rIHNV carrying G, NV, or G and NV genes from VHSV-IVb remained low in virulence in yellow perch. Similarly, the parental rVHSV-IVb exhibited low virulence in rainbow trout, and chimeric rVHSV with substituted G, NV, or G and NV genes from IHNV-M remained avirulent in rainbow trout. Thus, the G and NV genes of either virus were not sufficient to confer high host-specific virulence when exchanged into a heterologous species genome. Some exchanges of G and/or NV genes caused a loss of host-specific virulence, providing insights into possible roles in viral virulence or fitness, and interactions between viral proteins.
","language":"English","publisher":"MDPI","doi":"10.3390/v16040652","usgsCitation":"Vakharia, V.N., Ammayappan, A., Yusuff, S., Tesfaye, T.M., and Kurath, G., 2024, Heterologous exchanges of glycoprotein and non-virion protein in novirhabdoviruses: Assessment of virlence in yellow perch (Perca flavescens) and rainbow trout (Oncorhynchus mykiss): Viruses, v. 16, no. 4, 652, 16 p., https://doi.org/10.3390/v16040652.","productDescription":"652, 16 p.","ipdsId":"IP-164214","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":439777,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.3390/v16040652","text":"Publisher Index Page"},{"id":430960,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-04-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Vakharia, Vikram N.","contributorId":340088,"corporation":false,"usgs":false,"family":"Vakharia","given":"Vikram","email":"","middleInitial":"N.","affiliations":[{"id":81455,"text":"Institute of Marine & Environmental Technology, University of Maryland Baltimore County, Baltimore, MD","active":true,"usgs":false}],"preferred":false,"id":906135,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ammayappan, Arun","contributorId":340089,"corporation":false,"usgs":false,"family":"Ammayappan","given":"Arun","affiliations":[{"id":81455,"text":"Institute of Marine & Environmental Technology, University of Maryland Baltimore County, Baltimore, MD","active":true,"usgs":false}],"preferred":false,"id":906136,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yusuff, Shamila","contributorId":215222,"corporation":false,"usgs":false,"family":"Yusuff","given":"Shamila","email":"","affiliations":[{"id":39208,"text":"GeneDX 207 Perry Parkway, Gaithersburg, MD 20877 USA","active":true,"usgs":false}],"preferred":false,"id":906137,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tesfaye, Tarin M.","contributorId":340090,"corporation":false,"usgs":false,"family":"Tesfaye","given":"Tarin","email":"","middleInitial":"M.","affiliations":[{"id":81458,"text":"Formerly US Geological Survey, Western Fisheries Research Center, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":906138,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kurath, Gael 0000-0003-3294-560X","orcid":"https://orcid.org/0000-0003-3294-560X","contributorId":220175,"corporation":false,"usgs":true,"family":"Kurath","given":"Gael","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":906139,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70253182,"text":"70253182 - 2024 - First documentation of grass carp spawning in Lake Erie’s Central Basin","interactions":[],"lastModifiedDate":"2024-05-20T16:12:50.4624","indexId":"70253182","displayToPublicDate":"2024-04-22T09:02:05","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"First documentation of grass carp spawning in Lake Erie’s Central Basin","docAbstract":"Grass carp (Ctenopharyngodon idella) are non-indigenous to North America having been translocated to the United States in the 1960s as a potential non-chemical solution for nuisance aquatic vegetation. Reproductively viable grass carp now exist in many watersheds in the United States. In the Great Lakes basin, grass carp were first discovered in the 1980s with direct confirmation of successful reproduction in 2015 via collection of fertilized grass carp eggs in the Sandusky River. Early life stage monitoring also confirmed reproduction in the Maumee River in 2017. During 2018–2021, no new spawning tributaries were discovered (18 total sampling events in five Great Lakes tributaries). In 2022, fourteen eggs with characteristics similar to grass carp were identified from the Huron River which is a tributary to Lake Erie’s Central Basin. Eggs were identified to species via DNA sequencing and were determined to be grass carp eggs. The confirmation of spawning in the Huron River represents a third spawning tributary in the Lake Erie basin and expands eastward the geographic extent of known grass carp spawning locations. Presently, the ability of the Huron River to support hatching and survival of larval grass carp is unknown. Discovery of the Huron River as a grass carp spawning tributary identifies the value of continued surveillance in Great Lakes tributaries for early life stages and conducting scientific inquiries evaluating the consistency of tributary use and survival of early life stages.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2024.102350","usgsCitation":"Hilling, C.D., Landry, A.J., Roberts, J., Thompson, N., Richter, C.A., Brown, R.E., Mayer, C.M., and Qian, S.S., 2024, First documentation of grass carp spawning in Lake Erie’s Central Basin: Journal of Great Lakes Research, v. 50, no. 3, 102350, 6 p., https://doi.org/10.1016/j.jglr.2024.102350.","productDescription":"102350, 6 p.","ipdsId":"IP-161657","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":434978,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14HMDBT","text":"USGS data release","linkHelpText":"Grass Carp (Ctenopharyngodon idella) Egg Diameter Estimates from the Huron River (Ohio), 2022"},{"id":428068,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Ohio","otherGeospatial":"Huron River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.4658080331037,\n 41.43488681145024\n ],\n [\n -82.75342636612123,\n 41.43488681145024\n ],\n [\n -82.75342636612123,\n 41.027155764237335\n ],\n [\n -82.4658080331037,\n 41.027155764237335\n ],\n [\n -82.4658080331037,\n 41.43488681145024\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"50","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hilling, Corbin David 0000-0003-4040-9516","orcid":"https://orcid.org/0000-0003-4040-9516","contributorId":298946,"corporation":false,"usgs":true,"family":"Hilling","given":"Corbin","email":"","middleInitial":"David","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":899394,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Landry, Adam J.","contributorId":335743,"corporation":false,"usgs":false,"family":"Landry","given":"Adam","email":"","middleInitial":"J.","affiliations":[{"id":51831,"text":"Contractor to USGS Great Lakes Science Center","active":true,"usgs":false}],"preferred":false,"id":899395,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roberts, James 0000-0002-4193-610X jroberts@usgs.gov","orcid":"https://orcid.org/0000-0002-4193-610X","contributorId":5453,"corporation":false,"usgs":true,"family":"Roberts","given":"James","email":"jroberts@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":899396,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson, Nathan 0000-0002-1372-6340 nthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-1372-6340","contributorId":196133,"corporation":false,"usgs":true,"family":"Thompson","given":"Nathan","email":"nthompson@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":899397,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Richter, Cathy A. 0000-0001-7322-4206 crichter@usgs.gov","orcid":"https://orcid.org/0000-0001-7322-4206","contributorId":1878,"corporation":false,"usgs":true,"family":"Richter","given":"Cathy","email":"crichter@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":899398,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brown, Ryan E.","contributorId":332137,"corporation":false,"usgs":false,"family":"Brown","given":"Ryan","email":"","middleInitial":"E.","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":899399,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mayer, Christine M.","contributorId":203271,"corporation":false,"usgs":false,"family":"Mayer","given":"Christine","email":"","middleInitial":"M.","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":899400,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Qian, Song S. 0000-0002-2346-4903","orcid":"https://orcid.org/0000-0002-2346-4903","contributorId":306033,"corporation":false,"usgs":false,"family":"Qian","given":"Song","email":"","middleInitial":"S.","affiliations":[{"id":62440,"text":"Department of Environmental Sciences, University of Toledo, Toledo, OH 43606","active":true,"usgs":false}],"preferred":false,"id":899401,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70253133,"text":"tm19C1 - 2024 - West Nile virus (avian) case definition for wildlife","interactions":[{"subject":{"id":70253133,"text":"tm19C1 - 2024 - West Nile virus (avian) case definition for wildlife","indexId":"tm19C1","publicationYear":"2024","noYear":false,"displayTitle":"West Nile Virus (Avian) Case Definition for Wildlife","title":"West Nile virus (avian) case definition for wildlife"},"predicate":"IS_PART_OF","object":{"id":70251831,"text":"tm19 - 2024 - Case definitions for wildlife diseases","indexId":"tm19","publicationYear":"2024","noYear":false,"title":"Case definitions for wildlife diseases"},"id":1}],"isPartOf":{"id":70251831,"text":"tm19 - 2024 - Case definitions for wildlife diseases","indexId":"tm19","publicationYear":"2024","noYear":false,"title":"Case definitions for wildlife diseases"},"lastModifiedDate":"2024-04-22T23:53:11.155137","indexId":"tm19C1","displayToPublicDate":"2024-04-22T07:19:15","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"19-C1","displayTitle":"West Nile Virus (Avian) Case Definition for Wildlife","title":"West Nile virus (avian) case definition for wildlife","docAbstract":"Diagnostic laboratories receive carcasses and samples for diagnostic evaluation and pathogen/toxin detection. Case definitions bring clarity and consistency to the evaluation process. Their use within and between organizations allows more uniform reporting of diseases and etiologic agents. The intent of a case definition is to provide scientifically based criteria for determining (a) if an individual carcass has a specific disease and degree of confidence in that diagnosis and (b) if there is evidence of a pathogen or toxin in a carcass or sample (for example, swab, tissue sample, skin scraping, blood/serum sample, environmental sample, or other). This case definition is specific to West Nile virus and applies to all avian species.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm19C1","collaboration":"Prepared in cooperation with the Canadian Wildlife Health Cooperative","usgsCitation":"Lair, S., Shearn-Bochsler, V., and Zimmer, M., 2024, West Nile virus (avian) case definition for wildlife: U.S. Geological Survey Techniques and Methods, book 19, chap. C1, 10 p., https://doi.org/10.3133/tm19C1.","productDescription":"v, 18 p.","numberOfPages":"18","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-140693","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":427947,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/19/c1/coverthb.jpg"},{"id":427948,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/19/c1/tm19c1.pdf","text":"Report","size":"3.5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":427949,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/tm/19/c1/tm19c1.XML"},{"id":427950,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/tm/19/c1/images/"},{"id":427951,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/tm19C1/full"}],"contact":"Director, National Wildlife Health Center
U.S. Geological Survey
6006 Schroeder Road
Madison, WI 53711
No abstract available.
","language":"English","publisher":"Biotaxa","usgsCitation":"Ray, A.M., Hubbard, J.A., Brown, O.T., Schnaubelt, E.R., Giermakowski, J., Zylstra, E.R., and Hossack, B., 2024, Albinism in American Bullfrog, Lithobates catesbeianus Shaw, 1802 tadpoles from the Gila River, New Mexico, USA: Herpetology Notes, v. 17, p. 239-242.","productDescription":"4 p.","startPage":"239","endPage":"242","ipdsId":"IP-159033","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":428523,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://d42u830l15av3.cloudfront.net/hn/article/view/84320"},{"id":428459,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.70279115291069,\n 39.2445773872339\n ],\n [\n -123.70279115291069,\n 28.62742725483139\n ],\n [\n -102.69693177791086,\n 28.62742725483139\n ],\n [\n -102.69693177791086,\n 39.2445773872339\n ],\n [\n -123.70279115291069,\n 39.2445773872339\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"17","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ray, Andrew M.","contributorId":167601,"corporation":false,"usgs":false,"family":"Ray","given":"Andrew","email":"","middleInitial":"M.","affiliations":[{"id":5106,"text":"National Park Service, Yellowstone National Park, Mammoth, Wyoming 82190","active":true,"usgs":false}],"preferred":false,"id":900248,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hubbard, J Andy","contributorId":336535,"corporation":false,"usgs":false,"family":"Hubbard","given":"J","email":"","middleInitial":"Andy","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":900249,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Owen T","contributorId":336536,"corporation":false,"usgs":false,"family":"Brown","given":"Owen","email":"","middleInitial":"T","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":900250,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schnaubelt, Elizabeth R","contributorId":336537,"corporation":false,"usgs":false,"family":"Schnaubelt","given":"Elizabeth","email":"","middleInitial":"R","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":900251,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Giermakowski, J. Tomasz","contributorId":336539,"corporation":false,"usgs":false,"family":"Giermakowski","given":"J. Tomasz","affiliations":[{"id":18859,"text":"Department of Biology and Museum of Southwestern Biology, University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":900252,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zylstra, Erin R 0000-0002-2536-0403","orcid":"https://orcid.org/0000-0002-2536-0403","contributorId":218873,"corporation":false,"usgs":false,"family":"Zylstra","given":"Erin","email":"","middleInitial":"R","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":900253,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hossack, Blake R. 0000-0001-7456-9564","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":229347,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":900254,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70253177,"text":"70253177 - 2024 - Groundwater sustainability and land subsidence in California’s Central Valley","interactions":[],"lastModifiedDate":"2025-05-09T19:57:50.689646","indexId":"70253177","displayToPublicDate":"2024-04-22T06:38:51","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater sustainability and land subsidence in California’s Central Valley","docAbstract":"Longitudinal dispersal of migratory fish species can be interrupted by factors that fragment rivers, such as dams and reservoirs with incompatible habitats, and indirect alterations to variables, such as water temperature or turbidity. The endangered pallid sturgeon (Scaphirhynchus albus) population in the Upper Missouri River Basin in North Dakota and Montana is an example of such fragmentation and alteration due to the construction of dams. We applied a high-resolution, 2+-dimensional modelling framework composed of hydrodynamic and Lagrangian particle tracking components to simulate pallid sturgeon larval drift and dispersal along a 33-km section of the Upper Missouri River to evaluate three main issues: a comparison between multidimensional models and traditional 1-dimensional models, the sensitivity of hydrodynamics to channel morphology, and the implications of channel morphology on retention and transport-time metrics for larval fish. The results indicate that multidimensional models better represent breakthrough curves of transporting larvae compared to 1-dimensional models, especially for the long tail of slow drifters in the population. Results also indicate that channel morphology and hydraulic complexity play significant roles in larval dispersal with certain flow conditions and channel features increasing larval retention and providing potential management options to increase survival rates by adjusting flow conditions during spawning events. For example, modelling indicates increased retention times at discharges 23–38% daily flow exceedance, coincident with emergence of mid-channel sandbars. Findings additionally emphasize the need for improved understanding of biological factors that affect larval drift and dispersal.
We conceptualize and test a non-intrusive barrier, comprised of an oblique bubble screen (OBS) oriented at an angle to the mean flow, to prevent the downstream dispersal of invasive carp egg surrogates. Three surrogates of different densities and diameters were tested. Secondary flows created by the OBS were tuned to redirect surrogate eggs to facilitate their capture. Surface particle image velocimetry and acoustic Doppler velocimetry were used to characterize secondary flows. We assessed the influence of airflow rate, OBS angle, mean flow velocity, and surrogate density on particle redirection. In general, redirection efficiency improves by increasing the OBS angle with respect to the cross-section. At a mean flow velocity of 0.75 metres per second (m/s), the OBS system redirected up to 60% (%) of positively buoyant particles (specific gravity SG = 0.9, and diameter d = 7.09 millimetres [mm]) and 40% of semi-buoyant particles (SG = 1.001, d = 3.1 mm). Negatively buoyant particles (SG = 1.04, and d = 5.90 mm) were redirected by the physical structure of the diffuser rather than by OBS-induced flow. The study shows that an OBS system can be used to effectively redirect carp-egg surrogates over a wide range of particle sizes and densities, allowing for selective targeting of undesired particles in streams.
Mange is a skin disease caused by mites that parasitize an animal's skin, often yielding inflamed immune responses and hair loss. At a population level, mange may reduce survival and cause population declines. Many forms of mange can be treated quite effectively when an animal is in hand; however, this is not often feasible for many free-ranging wildlife populations. Some animals, particularly territorial carnivores, will rub or roll to scent mark and transmit information about their presence to other individuals. We posited that rub stations comprised, in part, of anthelmintic medication and foreign scents that induce rubbing could be used to remotely treat mange in the wild. We deployed 39 rub stations containing lure and dye in Santa Monica Mountains National Recreation Area, Southern California, USA, October–November 2022. Carnivores rubbed or rolled at .97% of rub stations, with coyotes (Canis latrans), gray foxes (Urocyon cinereoargenteus), and bobcats (Lynx rufus) being the most abundant species. Time to first rub or roll was generally <1 wk. Several sympatric species (e.g., mule deer, Odocoileus hemionus) were detected at rub stations but did not rub. Our pilot test provides strong evidence that treating mange in wild carnivores may be possible using the remote medicinal rub stations we describe. Future efforts to add medicine to rub stations and monitor for a change in mange prevalence are a logical next step.
Sturgeons are among the most endangered fishes in the world. Identifying habitat use characteristics to inform restoration projects is crucial for recovery. However, small sample sizes, inadequate replication of studies, and limited spatial extents complicate our ability to effectively apply the findings of single studies to endangered species conservation across the larger riverscape. We synthesized information from amphidromous and anadromous sturgeons in North America to identify species-specific knowledge gaps and conduct a quantitative comparison of species–habitat relationships. We provided a qualitative summary of substrate use and synthesized estimates of depth and velocity during spawning and non-spawning activity. Generalized patterns among species were identified, such as spawning in fast water on hard substrate and then using slow water with soft substrate areas when not spawning. We noted species-specific variability during spawning that may be attributed to historical maximum length, egg characteristics, and watershed features. This study provides some of the first estimates of habitat use that can be adapted for many populations. Results can contribute to empirically grounded decision-support tools used to prioritize information needs for recovery.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2023-0222","usgsCitation":"Gilligan-Lunda, E.K., Duarte, A., and Peterson, J., 2024, Habitat use of anadromous and amphidromous sturgeons in North America: A systematic review: Canadian Journal of Fisheries and Aquatic Sciences, v. 81, no. 5, p. 508-524, https://doi.org/10.1139/cjfas-2023-0222.","productDescription":"17 p.","startPage":"508","endPage":"524","ipdsId":"IP-156404","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":430211,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"81","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gilligan-Lunda, Erin K.","contributorId":339252,"corporation":false,"usgs":false,"family":"Gilligan-Lunda","given":"Erin","email":"","middleInitial":"K.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":903886,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duarte, Adam","contributorId":339254,"corporation":false,"usgs":false,"family":"Duarte","given":"Adam","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":903887,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903888,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70257486,"text":"70257486 - 2024 - Cyclic injection leads to larger and more frequent induced earthquakes under volume-controlled conditions","interactions":[],"lastModifiedDate":"2024-08-16T15:38:11.03954","indexId":"70257486","displayToPublicDate":"2024-04-19T10:34:46","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Cyclic injection leads to larger and more frequent induced earthquakes under volume-controlled conditions","docAbstract":"As carbon storage technologies advance globally, methods to understand and mitigate induced earthquakes become increasingly important. Although the physical processes that relate increased subsurface pore pressure changes to induced earthquakes have long been known, reliable methods to forecast and control induced seismic sequences remain elusive. Suggested reservoir engineering scenarios for mitigating induced earthquakes typically involve modulation of the injection rate. Some operators have implemented periodic shutdowns (i.e., effective cycling of injection rates) to allow reservoir pressures to equilibrate (e.g., Paradox Valley) or shut‐in wells after the occurrence of an event of concern (e.g., Basel, Switzerland). Other proposed scenarios include altering injection rates, actively managing pressures through coproduction of fluids, and preinjection brine extraction. In this work, we use 3D physics‐based earthquake simulations to understand the effects of different injection scenarios on induced earthquake rates, maximum event magnitudes, and postinjection seismicity. For comparability, the modeled injection considers the same cumulative volume over the project’s operational life but varies the schedule and rates of fluid injected. Simulation results show that cyclic injection leads to more frequent and larger events than constant injection. Furthermore, with intermittent injection scenario, a significant number of events are shown to occur during pauses in injection, and the seismicity rate remains elevated for longer into the postinjection phase compared to the constant injection scenario.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220230330","usgsCitation":"Kroll, K.A., and Cochran, E.S., 2024, Cyclic injection leads to larger and more frequent induced earthquakes under volume-controlled conditions: Seismological Research Letters, v. 95, p. 2105-2117, https://doi.org/10.1785/0220230330.","productDescription":"13 p.","startPage":"2105","endPage":"2117","ipdsId":"IP-157897","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":489102,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/2377896","text":"External Repository"},{"id":432863,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"95","noUsgsAuthors":false,"publicationDate":"2024-04-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Kroll, Kayla A.","contributorId":146335,"corporation":false,"usgs":false,"family":"Kroll","given":"Kayla","email":"","middleInitial":"A.","affiliations":[{"id":6984,"text":"UC Riverside","active":true,"usgs":false}],"preferred":false,"id":910519,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":910520,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70253174,"text":"70253174 - 2024 - Evaluation of streamflow predictions from LSTM models in water- and energy-limited regions in the United States","interactions":[],"lastModifiedDate":"2024-04-23T11:58:30.217736","indexId":"70253174","displayToPublicDate":"2024-04-19T06:55:18","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17467,"text":"Machine Learning with Applications","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of streamflow predictions from LSTM models in water- and energy-limited regions in the United States","docAbstract":"The application of Long Short-Term Memory (LSTM) models for streamflow predictions has been an area of rapid development, supported by advancements in computing technology, increasing availability of spatiotemporal data, and availability of historical data that allows for training data-driven LSTM models. Several studies have focused on improving the performance of LSTM models; however, few studies have assessed the applicability of these LSTM models across different hydroclimate regions. This study investigated the single-basin trained local (one model for each basin), multi-basin trained regional (one model for one region), and grand (one model for several regions) models for predicting daily streamflow in water-limited Great Basin (18 basins) and energy-limited New England (27 basins) regions in the United States using the CAMELS (Catchment Attributes and Meteorology for Large-sample Studies) data set. The results show a general pattern of higher accuracy in daily streamflow predictions from the regional model when compared to local or grand models for most basins in the New England region. For the Great Basin region, local models provided smaller errors for most basins and substantially lower for those basins with relatively larger errors from the regional and grand models. The evaluation of one-layer and three-layer LSTM network architectures trained with 1-day lag information indicates that the addition of model complexity by increasing the number of layers may not necessarily increase the model skill for improving streamflow predictions. Findings from our study highlight the strengths and limitations of LSTM models across contrasting hydroclimate regions in the United States, which could be useful for local and regional scale decisions using standalone or potential integration of data-driven LSTM models with physics-based hydrological models.
Director,
California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819
To better understand the potential for amplified ground shaking at sites that house critical infrastructure, the U.S. Geological Survey (USGS) evaluated shear-wave velocities (VS) at six strong-motion recording stations in Southern California Edison facilities in southern California. We calculated VS30 (time-averaged shear-wave velocity in the upper 30 meters [m]), which is a parameter used in ground-motion prediction equations (GMPEs) to account for site amplification (Building Safety Seismic Council, 2003; Holtzer and others, 2005; Baltay and Boatwright, 2015). Previous site-characterization studies using multiple methods in Alameda, Napa, and Sonoma Counties, Calif., and in British Columbia (Catchings and others, 2017, 2019; Chan and others, 2018a, 2018b) show that some sites have significant lateral variability; thus, a single measurement of VS30 nearest to the strong-motion recording station may not accurately account for the actual subsurface velocity variations. In the summer of 2017, we recorded body and surface waves along linear profiles (118–174 m long) using active-source seismic methods (226-kilogram [kg] accelerated weight-drop and 3.5-kg sledgehammer impacts) near strong-motion recording stations. We used S-wave refraction tomography and a multichannel analysis of surface waves (MASW) method (using common midpoint cross-correlation; CMPCC) to evaluate two-dimensional (2-D) VS from body and surface waves, respectively. We evaluated VS from both Rayleigh- and Love-waves.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241016","usgsCitation":"Chan, J.H., Catchings, R.D., Goldman, M.R., Criley, C.J., and Sickler, R.R., 2024, Evaluation of 2-D shear-wave velocity models and VS30 at six strong-motion recording stations in southern California using multichannel analysis of surface waves and refraction tomography: U.S. Geological Survey Open-File Report 2024–1016, 58 p., https://doi.org/10.3133/ofr20241016.","productDescription":"Report: vii, 58 p.; Data Release","numberOfPages":"58","onlineOnly":"Y","ipdsId":"IP-132062","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":499241,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_116364.htm","linkFileType":{"id":5,"text":"html"}},{"id":427913,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P990O55F","text":"USGS Data Release","description":"Chan, J.H., Catchings, R.D., Goldman, M.R, Criley, C.J., and Sickler, R.R., 2021, High-resolution seismic data acquired at six Southern California seismic network (SCSN) recording stations in 2017: U.S. Geological Survey data release, https://doi.org/10.5066/P990O55F.","linkHelpText":"High-resolution seismic data acquired at six Southern California seismic network (SCSN) recording stations in 2017"},{"id":427918,"rank":6,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1016/coverthb.jpg"},{"id":427915,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1016/images"},{"id":427914,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1016/ofr20241016.pdf","text":"Report","size":"20 MB"},{"id":427917,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241016/full"},{"id":427916,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1016/ofr20241016.xml"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.02522723790126,\n 35.189340133329225\n ],\n [\n -121.02522723790126,\n 33.05031372839122\n ],\n [\n -115.5979811441514,\n 33.05031372839122\n ],\n [\n -115.5979811441514,\n 35.189340133329225\n ],\n [\n -121.02522723790126,\n 35.189340133329225\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Earthquake Science Center
U.S. Geological Survey
350 N. Akron Rd.
Moffett Field, CA 94035
No abstract available.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"The Ocean Exploration Trust 2023 field season","largerWorkSubtype":{"id":3,"text":"Organization Series"},"language":"English","doi":"10.62878/vud148","usgsCitation":"Mueller, M., Morrison, C., Sowers, D., and Romanek, C., 2024, Collaborative mapping and characterization offshore of the Hawaiian Islands, 3 p., https://doi.org/10.62878/vud148.","productDescription":"3 p.","startPage":"60","endPage":"62","ipdsId":"IP-162348","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":483872,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -155.79226809491234,\n 18.85892200077457\n ],\n [\n -156.72514139674018,\n 20.25295786943228\n ],\n [\n -157.5120022734238,\n 21.09913250792914\n ],\n [\n -158.17224185960652,\n 18.014414343272335\n ],\n [\n -158.02753181331997,\n 17.10038293098839\n ],\n [\n -156.03776867687873,\n 17.04850850228614\n ],\n [\n -155.79226809491234,\n 18.85892200077457\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2024-04-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Mueller, Mark","contributorId":331034,"corporation":false,"usgs":false,"family":"Mueller","given":"Mark","email":"","affiliations":[{"id":79094,"text":"Bureau of Ocean Energy Management, Office of Environmental Programs","active":true,"usgs":false}],"preferred":false,"id":932043,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morrison, Cheryl L. 0000-0001-9425-691X","orcid":"https://orcid.org/0000-0001-9425-691X","contributorId":239844,"corporation":false,"usgs":true,"family":"Morrison","given":"Cheryl","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":932044,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sowers, Derek","contributorId":214036,"corporation":false,"usgs":false,"family":"Sowers","given":"Derek","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":932045,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Romanek, Christopher","contributorId":207026,"corporation":false,"usgs":false,"family":"Romanek","given":"Christopher","email":"","affiliations":[],"preferred":false,"id":932046,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70265886,"text":"70265886 - 2024 - Evaluating seawater intrusion forecast uncertainty under climate change in the Pajaro Valley, California","interactions":[],"lastModifiedDate":"2025-04-18T14:40:37.364459","indexId":"70265886","displayToPublicDate":"2024-04-18T09:33:26","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating seawater intrusion forecast uncertainty under climate change in the Pajaro Valley, California","docAbstract":"Climate change and climate variability impacts such as rising sea levels have the potential to exacerbate seawater intrusion and the strain on coastal freshwater resources in already stressed groundwater basins such as those in the Pajaro Valley groundwater basin, California. Regional hydrologic models are often coupled with climate projections to forecast future hydrologic conditions and inform adaptive resources management strategies. However, there is high uncertainty in the future projections of water resources due to uncertainties from downscaling global general circulation models (GCMs) to local scale climate change projections, future land use changes, and the inherent uncertainty of developed hydrologic models. Future climate projections and the magnitude of their influence on modeled hydrologic drivers are highly variable. Therefore, to develop a forecast model, an ensemble of different projections can be used to capture a wider range of basin responses and the associated uncertainties in the modeled forecasts. Understanding the reliability and uncertainty of forecasts is important for developing climate adaptation strategies such as developing protective thresholds, particularly at the basin scale where the impacts are felt, and adaptation is implemented. To demonstrate this, an uncertainty analysis of groundwater level and seawater intrusion forecasts for the Pajaro Valley groundwater basin was performed using an ensemble of three future climate projections with the Pajaro Valley Integrated Hydrologic Model (PVIHM) and the first-order second moment (FOSM) method. FOSM uncertainty analysis of hydrologic forecasts across a multi-GCM climate ensemble provides an upper and lower bound of potential impacts of climate change on sustainability targets related to mitigating seawater intrusion. The groundwater level forecasts’ narrow range of variability can help policymakers in adaptation planning by constraining possible outcomes to a focused range for risk-management decisions. However, less than one-third of groundwater level forecasts met the current protection thresholds to prevent chronic lowering of groundwater. Therefore, sustainability targets may need to be reassessed. Relative to groundwater level changes, the seawater intrusion forecasts had larger uncertainty due to the GCM climate projections and the simulated hydrologic response that were compounded by the propagation of scaling and bias from the GCMs and model simplifications in simulating the coastal boundary.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2024.131226","usgsCitation":"Earll, M.M., Henson, W.R., Lockwood, B., and Boyce, S.E., 2024, Evaluating seawater intrusion forecast uncertainty under climate change in the Pajaro Valley, California: Journal of Hydrology, v. 636, 131226, 17 p., https://doi.org/10.1016/j.jhydrol.2024.131226.","productDescription":"131226, 17 p.","ipdsId":"IP-118873","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":484763,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Pajaro Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.92596725165258,\n 37.07637156314877\n ],\n [\n -121.92596725165258,\n 36.716849299804664\n ],\n [\n -121.42957626930755,\n 36.716849299804664\n ],\n [\n -121.42957626930755,\n 37.07637156314877\n ],\n [\n -121.92596725165258,\n 37.07637156314877\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"636","noUsgsAuthors":false,"publicationDate":"2024-04-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Earll, Marisa M. 0000-0002-4367-2013 mearll@usgs.gov","orcid":"https://orcid.org/0000-0002-4367-2013","contributorId":223723,"corporation":false,"usgs":true,"family":"Earll","given":"Marisa","email":"mearll@usgs.gov","middleInitial":"M.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":933818,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Henson, Wesley R. 0000-0003-4962-5565 whenson@usgs.gov","orcid":"https://orcid.org/0000-0003-4962-5565","contributorId":384,"corporation":false,"usgs":true,"family":"Henson","given":"Wesley","email":"whenson@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":933819,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lockwood, Brian","contributorId":80202,"corporation":false,"usgs":true,"family":"Lockwood","given":"Brian","email":"","affiliations":[],"preferred":false,"id":933960,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boyce, Scott E. 0000-0003-0626-9492 seboyce@usgs.gov","orcid":"https://orcid.org/0000-0003-0626-9492","contributorId":4766,"corporation":false,"usgs":true,"family":"Boyce","given":"Scott","email":"seboyce@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":933820,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70261736,"text":"70261736 - 2024 - Mechanisms, detections, and impacts of species redistributions under climate change","interactions":[],"lastModifiedDate":"2024-12-20T15:48:11.066677","indexId":"70261736","displayToPublicDate":"2024-04-18T09:23:45","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7460,"text":"Nature Reviews Earth & Environment","active":true,"publicationSubtype":{"id":10}},"title":"Mechanisms, detections, and impacts of species redistributions under climate change","docAbstract":"Shifts in species distributions are a common ecological response to climate change, and global temperature rise is often hypothesized as the primary driver. However, the directions and rates of distribution shifts are highly variable across species, systems, and studies, complicating efforts to manage and anticipate biodiversity responses to anthropogenic change. In this Review, we summarize approaches to documenting species range shifts, discuss why observed range shifts often do not match our expectations, and explore the impacts of species range shifts on nature and society. The majority (59%) of documented range shifts are directionally consistent with climate change, based on the BioShifts database of range shift observations. However, many observed species have not shifted or have shifted in directions opposite to temperature-based expectations. These lagging or expectation-contrary shifts might be explained by additional biotic or abiotic factors driving range shifts, including additional non-temperature climatic drivers, habitat characteristics, and species interactions, which are not normally considered in range shift documentations. Understanding and managing range shifts will require increasing and connecting observational biological data, generalizing range shift patterns across systems, and predicting shifts at management-relevant timescales.
","language":"English","publisher":"Nature","doi":"10.1038/s43017-024-00527-z","usgsCitation":"Lawlor, J.A., Comte, L., Grenouillet, G., Baecher, J.A., Bandara, R., Bertrand, R., Chen, I., Diamond, S.E., Lancaster, L.T., Moore, N., Murienne, J., Oliveira, B.F., Pecl, G.T., Pinsky, M., Rolland, J., Rubenstein, M.A., Scheffers, B.R., Thompson, L., van Amerom, B., Villalobos, F., Weiskopf, S.R., and Sunday, J., 2024, Mechanisms, detections, and impacts of species redistributions under climate change: Nature Reviews Earth & Environment, v. 5, p. 351-368, https://doi.org/10.1038/s43017-024-00527-z.","productDescription":"18 p.","startPage":"351","endPage":"368","ipdsId":"IP-154985","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":467014,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://u-picardie.hal.science/hal-04554209","text":"External Repository"},{"id":465400,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","noUsgsAuthors":false,"publicationDate":"2024-04-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Lawlor, Jake A.","contributorId":347427,"corporation":false,"usgs":false,"family":"Lawlor","given":"Jake","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":921691,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Comte, Lise","contributorId":304119,"corporation":false,"usgs":false,"family":"Comte","given":"Lise","email":"","affiliations":[{"id":65974,"text":"College of Arts and Sciences, Illinois State University","active":true,"usgs":false}],"preferred":false,"id":921692,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grenouillet, Gael","contributorId":347428,"corporation":false,"usgs":false,"family":"Grenouillet","given":"Gael","email":"","affiliations":[],"preferred":false,"id":921693,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baecher, J. 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