Fine-grained sediment in stormwater acts as a vector for persistent organic pollutants, like polychlorinated biphenyls (PCBs), through mobilization from sources within drainage areas of impacted urban watersheds. This study implemented a novel approach to identify the relative contributions of various landscape and stream sources of sediment from the Back River watershed in eastern Baltimore, Maryland, and investigated the applicability of using trace PCBs found in an urban environment as discriminants between each source type. Trace PCBs were found to be poor discriminants when identifying the relative sediment contributions of watershed-scale land use categories. When excluding PCBs in the development of a sediment fingerprinting model and instead utilizing trace elements and carbon only, sediment fingerprint modeling successfully differentiated green spaces and eroding streambanks as the most significant contributors to stormwaters sediment (37.1 % and 44.0 %, respectively) of the total sediment contributions of all considered source categories. In all samples collected from various landscape sources, storms, and cores detectable concentrations of PCBs were measured. The results of this study indicate that sediment fingerprinting may not be an effective method in predicting where PCBs may be found within an impacted watershed.
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Borehole USGS 151 was continuously cored from about 48 to 1,070 feet (ft) below land surface (BLS); rotary drilled from approximately 1,070 to 1,720 ft BLS; and re-drilled to complete construction as a monitor well NRF-17, completed to 461 ft BLS. Borehole USGS 152 was continuously cored from approximately 19 to 1,259 ft BLS; rotary drilled from approximately 1,259 to 1,630 ft BLS; and re-drilled to complete construction as a monitor well NRF-18, completed to 450 ft BLS.
Geophysical data were examined with photographed core material to record lithologic descriptions and to suggest zones where groundwater flow was anticipated. Basalt flows varied from highly fractured to dense, with high-to-low vesiculation. Well NRF-17 generally was constructed in mostly dense basalt (greater than 75 percent), and well NRF-18 was constructed in primarily fractured and (or) vesicular basalt. In well NRF-17, the well capacity is directly affected by the limited amount of fractured basalt, which serves as the primary pathway for groundwater. This effect was observed during the pumping test conducted after the well's final construction.
Single-well aquifer tests were done at wells NRF-17 and NRF-18 to provide estimates of transmissivity and hydraulic conductivity after final well construction and initial well development. Estimated values of transmissivity and hydraulic conductivity for well NRF-17 were 8.81 feet squared per day (ft2/d) and 1.04×10-2 feet per day (ft/d), respectively. Estimated values of transmissivity and hydraulic conductivity for well NRF-18 were 4.77×103 ft2/d and 5.61 ft/d, respectively. The NRF-17 pump test resulted in 19.41 ft of measured drawdown at a sustained average pumping rate of 3.3 gallons per minute (gal/min). The NRF-18 pump test resulted in 0.55 ft of measured drawdown at a sustained average pumping rate of 31.0 gal/min.
Water-quality samples collected from the two wells were analyzed for cations, anions, metals, nutrients, volatile organic compounds, stable isotopes, and radionuclides. Water samples for select inorganic constituents showed concentrations consistent with signatures from tributary valley groundwater with influences from ephemeral surface-water recharge from the Big Lost River. Water-quality samples analyzed for stable isotopes of oxygen and hydrogen are consistent with signatures from tributary valley groundwater and surface-water recharge inputs to the aquifer. No measured water-quality results were greater than their respective maximum contaminant levels for public drinking-water supplies. Inorganic and nutrient water-quality results for well NRF-17 and well NRF-18 suggest the groundwater in this area is potentially affected by industrial wastewater disposal.
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Observing Systems Division
Water Mission Area
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192
The U.S. Geologic Survey National Earthquake Information Center (NEIC) monitors global seismicity, producing a catalog of earthquake source parameters in near-real-time to provide information that can help mitigate the societal impact of earthquakes. The NEIC commonly relies on teleseismic observations to constrain earthquake source parameters (e.g., location, depth, magnitude, and mechanism) due to a lack of local and regional observations. For these ‘teleseismic’ events, depth phase (i.e., pP, sP) arrival time observations provide the best estimate on source depth. However, depth phases are often difficult to accurately identify and/or pick. Therefore, NEIC relies on waveform modeling, such as those determined from W-phase (Mww), body wave (Mwb), and regional (Mwr) moment tensor estimations, to provide constraints on source depth. While depth estimates from these approaches are informative, higher frequency observations provide more precise estimates because depth phases are more prominently observed at higher frequencies. Here, we present NEIC’s relatively high-frequency (~0.04 to 1 Hz) teleseismic waveform modeling approach, termed Synthetic Depth Phase Modeling (SynDepth), for determining source depth. SynDepth was developed to provide NEIC with a tool that enables rapid, accurate, and quantifiable estimates of earthquake source depth in cases where locator depths are not reliable. This relatively simple and fast procedure searches over 1 km-incremented source depths and an expanding triangular source-time function to find the best-fitting solution. We compare automatic SynDepth solutions for a dataset of 1,216 earthquakes (M5.5-M7.6) between 2017 and 2021 to NEIC-derived depth estimates from other methods. Our approach provides a robust depth estimate for earthquakes lacking local arrival time data, and it minimizes the need for analyst review of depth-phase picks (pP, sP) or using predefined ‘fixed’ depths.
","language":"English","publisher":"GeoScienceWorld","doi":"10.1785/0220240372","usgsCitation":"Yeck, W.L., Herrmann, R., Patton, J., Barnhart, W.D., and Benz, H.M., 2025, Estimating earthquake source depth using teleseismic broadband waveform modeling at the USGS National Earthquake Information Center: Seismological Research Letters, v. 96, no. 6, p. 3643-3655, https://doi.org/10.1785/0220240372.","productDescription":"13 p.","startPage":"3643","endPage":"3655","ipdsId":"IP-167539","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":491836,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"96","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-07-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Yeck, William L. 0000-0002-2801-8873 wyeck@usgs.gov","orcid":"https://orcid.org/0000-0002-2801-8873","contributorId":147558,"corporation":false,"usgs":true,"family":"Yeck","given":"William","email":"wyeck@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":942024,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herrmann, Robert B.","contributorId":80255,"corporation":false,"usgs":false,"family":"Herrmann","given":"Robert B.","affiliations":[],"preferred":false,"id":942025,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patton, John 0000-0003-0142-5118","orcid":"https://orcid.org/0000-0003-0142-5118","contributorId":218681,"corporation":false,"usgs":true,"family":"Patton","given":"John","email":"","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":942026,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barnhart, William D. 0000-0003-0498-1697 wbarnhart@usgs.gov","orcid":"https://orcid.org/0000-0003-0498-1697","contributorId":294678,"corporation":false,"usgs":true,"family":"Barnhart","given":"William","email":"wbarnhart@usgs.gov","middleInitial":"D.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":942027,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Benz, Harley M. 0000-0002-6860-2134 benz@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-2134","contributorId":794,"corporation":false,"usgs":true,"family":"Benz","given":"Harley","email":"benz@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":942028,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70270182,"text":"70270182 - 2025 - Identification of novel hepaciviruses and Sylvilagus-associated viruses via metatranscriptomics in North American lagomorphs","interactions":[],"lastModifiedDate":"2025-08-13T14:37:13.893878","indexId":"70270182","displayToPublicDate":"2025-07-02T09:30:23","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5051,"text":"Virus Evolution","onlineIssn":"2057-1577","active":true,"publicationSubtype":{"id":10}},"title":"Identification of novel hepaciviruses and Sylvilagus-associated viruses via metatranscriptomics in North American lagomorphs","docAbstract":"Cottontails (Sylvilagus spp.) and jackrabbits (Lepus spp.) within the Leporidae family are native to North America and are found in a wide range of habitats, including deserts, forests, and grasslands. Although there is a growing body of research describing the arrival of the highly virulent rabbit haemorrhagic disease virus 2 (RHDV2, GI.2) on this continent, and its impact on native lagomorphs, information about the natural virome and microbiome of healthy and deceased American lagomorphs is relatively limited. In this study, we used a meta-transcriptomics approach to conduct whole pathogen profiling on healthy and deceased animals in the USA. We analysed 48 matched liver and lung sample pools from apparently healthy cottontails and jackrabbits in Texas and an additional 48 liver samples from deceased animals from nine other US states. This approach enabled the discovery of three distinct new viruses and revealed additional new insights into the lung and liver microbiomes of North American lagomorphs. Of the three new viruses, a tetnovirus and a novel picorna-like virus were likely of insect origin and therefore considered environmental contaminants. Of particular interest was a new species of hepacivirus, with around 50% sequence identity to a known hepacivirus from a xeric four-striped grass rat (Rhabdomys pumilio). Phylogenetic analysis from 41 individual hepacivirus genomes recovered from our lagomorph samples revealed two distinct clades, corresponding with different cottontail species. No hepaciviruses were detected in any of the jackrabbit samples. This is the first description of a hepacivirus in lagomorphs. Our findings extend the Hepacivirus genus, provide new insights into its evolution, and describe the first baseline on microbial diversity in North American lagomorphs, an important step towards understanding the role of potential pathogens for population management and conservation.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/ve/veaf050","usgsCitation":"Jenckel, M., Chang, W., Wright, E.A., Bradley, R., Dusek, R.J., Ip, H., Hall, R., Smith, I., and Strive, T., 2025, Identification of novel hepaciviruses and Sylvilagus-associated viruses via metatranscriptomics in North American lagomorphs: Virus Evolution, v. 11, no. 1, veaf050, 15 p., https://doi.org/10.1093/ve/veaf050.","productDescription":"veaf050, 15 p.","ipdsId":"IP-174217","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":494199,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ve/veaf050","text":"Publisher Index Page"},{"id":494023,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Iowa, Massachusetts, Montana, Nevada, New Hampshire, New Mexico, Oregon, Texas, 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Museum of Texas Tech University, Lubbock, TX","active":true,"usgs":false}],"preferred":false,"id":945691,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bradley, Robert D.","contributorId":192530,"corporation":false,"usgs":false,"family":"Bradley","given":"Robert D.","affiliations":[],"preferred":false,"id":945692,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dusek, Robert J. 0000-0001-6177-7479 rdusek@usgs.gov","orcid":"https://orcid.org/0000-0001-6177-7479","contributorId":174374,"corporation":false,"usgs":true,"family":"Dusek","given":"Robert","email":"rdusek@usgs.gov","middleInitial":"J.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":945693,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ip, Hon S. 0000-0003-4844-7533","orcid":"https://orcid.org/0000-0003-4844-7533","contributorId":126815,"corporation":false,"usgs":true,"family":"Ip","given":"Hon S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":945694,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hall, Robyn","contributorId":359498,"corporation":false,"usgs":false,"family":"Hall","given":"Robyn","affiliations":[{"id":85831,"text":"Health and Biosecurity, CSIRO, Acton, ACT 2601, Australia","active":true,"usgs":false}],"preferred":false,"id":945695,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Smith, Ina","contributorId":359499,"corporation":false,"usgs":false,"family":"Smith","given":"Ina","affiliations":[{"id":85831,"text":"Health and Biosecurity, CSIRO, Acton, ACT 2601, Australia","active":true,"usgs":false}],"preferred":false,"id":945696,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Strive, Tanja","contributorId":359500,"corporation":false,"usgs":false,"family":"Strive","given":"Tanja","affiliations":[{"id":85831,"text":"Health and Biosecurity, CSIRO, Acton, ACT 2601, Australia","active":true,"usgs":false}],"preferred":false,"id":945697,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70268796,"text":"70268796 - 2025 - 2024 Surprise Inlet landslides: Insights from a prototype landslide‐triggered tsunami monitoring system in Prince William Sound, Alaska","interactions":[],"lastModifiedDate":"2025-07-08T16:16:15.639994","indexId":"70268796","displayToPublicDate":"2025-07-02T09:12:05","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"2024 Surprise Inlet landslides: Insights from a prototype landslide‐triggered tsunami monitoring system in Prince William Sound, Alaska","docAbstract":"Alaska's coastal communities face growing landslide hazards owing to glacier retreat and extreme weather intensified by the warming climate, yet hazard monitoring remains challenging. As part of ongoing experimental monitoring in Prince William Sound, we detected three large landslides (0.5–2.3 M m3) at Surprise Inlet on 20 September 2024, within the span of an hour. These events were identified in near real-time through seismic data and later confirmed using satellite imagery, tidal records, and infrasound. The landslides generated a modest tsunami, and a 4 cm wave was recorded by a tide gauge 18 km away, marking the first recorded landslide to reach water since monitoring began in this region in 2021. Here, we examine the detection and interpretation of these landslides using multiple data sources and modeling. We demonstrate the effectiveness of this regional seismic monitoring system and show how complementary instrumentation, where available, can enhance detection capabilities.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025GL115911","usgsCitation":"Karasozen, E., West, M.E., Barnhart, K.R., Lyons, J.J., Nichols, T., Schaefer, L.N., Bahng, B., Ohlendorf, S., Staley, D.M., and Wolken, G.J., 2025, 2024 Surprise Inlet landslides: Insights from a prototype landslide‐triggered tsunami monitoring system in Prince William Sound, Alaska: Geophysical Research Letters, v. 52, no. 13, e2025GL115911, 11 p., https://doi.org/10.1029/2025GL115911.","productDescription":"e2025GL115911, 11 p.","ipdsId":"IP-176964","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":492061,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025gl115911","text":"Publisher Index Page"},{"id":491813,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Prince William Sound","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -148.69339399398933,\n 61.18214394792622\n ],\n [\n -148.69339399398933,\n 59.91280847695441\n ],\n [\n -145.64673816140657,\n 59.91280847695441\n ],\n [\n -145.64673816140657,\n 61.18214394792622\n ],\n [\n -148.69339399398933,\n 61.18214394792622\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"52","issue":"13","noUsgsAuthors":false,"publicationDate":"2025-07-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Karasozen, Ezgi 0000-0003-1140-1427","orcid":"https://orcid.org/0000-0003-1140-1427","contributorId":244223,"corporation":false,"usgs":false,"family":"Karasozen","given":"Ezgi","email":"","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":942014,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"West, Michael E.","contributorId":147407,"corporation":false,"usgs":false,"family":"West","given":"Michael","email":"","middleInitial":"E.","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":942015,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnhart, Katherine R. 0000-0001-5682-455X","orcid":"https://orcid.org/0000-0001-5682-455X","contributorId":257870,"corporation":false,"usgs":true,"family":"Barnhart","given":"Katherine","email":"","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":942016,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lyons, John J. 0000-0001-5409-1698 jlyons@usgs.gov","orcid":"https://orcid.org/0000-0001-5409-1698","contributorId":5394,"corporation":false,"usgs":true,"family":"Lyons","given":"John","email":"jlyons@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":942017,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nichols, Terry","contributorId":357616,"corporation":false,"usgs":false,"family":"Nichols","given":"Terry","affiliations":[{"id":85473,"text":"National Tsunami Warning Center, Palmer, Alaska, USA","active":true,"usgs":false}],"preferred":false,"id":942018,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schaefer, Lauren N. 0000-0003-3216-7983","orcid":"https://orcid.org/0000-0003-3216-7983","contributorId":241997,"corporation":false,"usgs":true,"family":"Schaefer","given":"Lauren","email":"","middleInitial":"N.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":942019,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bahng, Bohyun","contributorId":357617,"corporation":false,"usgs":false,"family":"Bahng","given":"Bohyun","affiliations":[{"id":85473,"text":"National Tsunami Warning Center, Palmer, Alaska, USA","active":true,"usgs":false}],"preferred":false,"id":942020,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ohlendorf, Summer","contributorId":357618,"corporation":false,"usgs":false,"family":"Ohlendorf","given":"Summer","affiliations":[{"id":85473,"text":"National Tsunami Warning Center, Palmer, Alaska, USA","active":true,"usgs":false}],"preferred":false,"id":942021,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Staley, Dennis M. 0000-0002-2239-3402 dstaley@usgs.gov","orcid":"https://orcid.org/0000-0002-2239-3402","contributorId":4134,"corporation":false,"usgs":true,"family":"Staley","given":"Dennis","email":"dstaley@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":942022,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wolken, Gabriel J.","contributorId":221149,"corporation":false,"usgs":false,"family":"Wolken","given":"Gabriel","email":"","middleInitial":"J.","affiliations":[{"id":40336,"text":"Alaska Department of Natural Resources: Division of Geological and Geophysical Surveys","active":true,"usgs":false}],"preferred":false,"id":942023,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70270648,"text":"70270648 - 2025 - A newly identified creeping strand of the Concord fault, San Francisco Bay Area","interactions":[],"lastModifiedDate":"2025-11-20T16:54:22.023632","indexId":"70270648","displayToPublicDate":"2025-07-02T08:52:02","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"A newly identified creeping strand of the Concord fault, San Francisco Bay Area","docAbstract":"The Concord fault constitutes a major branch of the Pacific–North America transform plate boundary in Northern California, bridging the strike‐slip Bartlett Springs ‐ Green Valley Fault system to the north with the Greenville and Calaveras Faults to the south. Like many faults in the San Francisco Bay Area its long‐term slip is partially accommodated by aseismic slip (creep). Although creep has been recognized and monitored on the northern half of the fault for decades, the precise location of the southern half of the fault and its slip rate—whether accommodated seismically or aseismically—has remained enigmatic. How slip transfers between the Concord and Greenville or Calaveras faults to the south remains an outstanding question. New field observations presented here indicate that the active trace of the fault south of downtown Concord is not where previously interpreted and is indeed actively creeping. We report observations of shallow creep continuing >7 km farther south along the Concord fault than previously reported, along a fault strand not previously recognized for most of its length. This is evident as right‐laterally deflected concrete curbs and sidewalk slabs on both sides of every street that crosses the fault at a high angle in southeast Concord and northeast Walnut Creek. We document the magnitude and location of these deflections to estimate accumulated right‐lateral aseismic slip expressed in engineered structures. Offsets of these piercing lines range from 8 to 18 cm, over widths varying from narrow breaks along centimeter‐scale concrete joints to 10‐m‐wide zones of deflection. Significantly, this active trace is ∼400 m west of where the Quaternary active trace has previously been inferred, placing it within—rather than bounding—the built area of suburban Concord. Slip along the fault has already caused infrastructure damage. These results revise our understanding of the southern Concord fault and help constrain its seismic potential.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220240454","usgsCitation":"Elliott, A.J., Madugo, D., and Vermeer, J., 2025, A newly identified creeping strand of the Concord fault, San Francisco Bay Area: Seismological Research Letters, v. 96, no. 6, p. 3837-3848, https://doi.org/10.1785/0220240454.","productDescription":"12 p.","startPage":"3837","endPage":"3848","ipdsId":"IP-170989","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":494466,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0220240454","text":"Publisher Index Page"},{"id":494392,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.06266782438118,\n 38.302124714343165\n ],\n [\n -123.06266782438118,\n 37.04075782946633\n ],\n [\n -121.22222480721942,\n 37.04075782946633\n ],\n [\n -121.22222480721942,\n 38.302124714343165\n ],\n [\n -123.06266782438118,\n 38.302124714343165\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"96","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-07-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Elliott, Austin John 0000-0001-5924-7268","orcid":"https://orcid.org/0000-0001-5924-7268","contributorId":248824,"corporation":false,"usgs":true,"family":"Elliott","given":"Austin","email":"","middleInitial":"John","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":946739,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Madugo, Danielle","contributorId":360036,"corporation":false,"usgs":false,"family":"Madugo","given":"Danielle","affiliations":[{"id":12640,"text":"California Geological Survey","active":true,"usgs":false}],"preferred":false,"id":946740,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vermeer, Jessica 0000-0001-8349-0137","orcid":"https://orcid.org/0000-0001-8349-0137","contributorId":295930,"corporation":false,"usgs":true,"family":"Vermeer","given":"Jessica","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":946741,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70269945,"text":"70269945 - 2025 - Estimating mortality of Lake Sturgeon in the Lake Winnebago system using traditional age-based approaches and capture–recapture models","interactions":[],"lastModifiedDate":"2025-08-18T15:25:53.813171","indexId":"70269945","displayToPublicDate":"2025-07-02T08:29:07","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Estimating mortality of Lake Sturgeon in the Lake Winnebago system using traditional age-based approaches and capture–recapture models","docAbstract":"Objective
The Lake Winnebago system in Wisconsin supports a popular winter spear fishery for Lake Sturgeon Acipenser fulvescens. Setting harvest caps for this fishery relies on estimating instantaneous natural mortality rate (M), which can be done using age-based approaches or capture–recapture models that incorporate recoveries of fish with passive integrated transponder (PIT) tags or detections of fish with acoustic transmitters. Our objectives were to determine (1) if recent estimates of exploitation (u) have exceeded the 5% harvest cap, (2) if M and total mortality rates are similar among estimation methods that rely on age estimates or capture–recapture methods, and (3) if potential differences in mortality estimates would affect harvest caps.
Methods
Harvest of PIT-tagged fish was used to evaluate u from 2010 to 2019. Catch curves incorporating corrected fin ray ages were used to estimate total mortality and M for fish collected from 2010 to 2019. Capture–recapture models were used to estimate annual survival and M from detections of fish with acoustic transmitters from 2007 to 2019 and recoveries of PIT-tagged fish from 1999 to 2020. Mortality estimates were used to calculate and compare sex-specific harvest caps among estimation methods.
Results
Observed u did not exceed 5% for either sex between 2010 and 2019. Estimates of M varied among methods (males: M = 0.001–0.134; females: M = 0.001–0.131), with PIT-based models consistently providing the lowest and telemetry-based models providing the highest estimates. Simulations indicated that female u has limited potential to exceed 5% if M from fin ray ages or telemetry is used to set harvest caps, while PIT-based simulations showed no indication of cap exceedance.
Conclusions
Harvest management practices in the Lake Winnebago system appear to have kept Lake Sturgeon exploitation below the 5% harvest cap from 2010 to 2019. Capture–recapture models relying on PIT tags appear to provide the most precise approach for setting harvest caps for this fishery.
","language":"English","publisher":"American Fisheries Society","doi":"10.1093/najfmt/vqaf044","usgsCitation":"Shrovnal, J., Stadig, M., Raabe, J., and Isermann, D.A., 2025, Estimating mortality of Lake Sturgeon in the Lake Winnebago system using traditional age-based approaches and capture–recapture models: North American Journal of Fisheries Management, v. 45, no. 4, p. 616-632, https://doi.org/10.1093/najfmt/vqaf044.","productDescription":"17 p.","startPage":"616","endPage":"632","ipdsId":"IP-171106","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":493716,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Lake Winnebago","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -88.55626587032395,\n 44.217649685789354\n ],\n [\n -88.55626587032395,\n 43.78463531825764\n ],\n [\n -88.25352305766155,\n 43.78463531825764\n ],\n [\n -88.25352305766155,\n 44.217649685789354\n ],\n [\n -88.55626587032395,\n 44.217649685789354\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"45","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-07-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Shrovnal, Jeremiah S.","contributorId":359167,"corporation":false,"usgs":false,"family":"Shrovnal","given":"Jeremiah S.","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":945008,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stadig, Margaret H.","contributorId":359168,"corporation":false,"usgs":false,"family":"Stadig","given":"Margaret H.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":945009,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Raabe, Joshua K.","contributorId":348735,"corporation":false,"usgs":false,"family":"Raabe","given":"Joshua K.","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":945010,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":945011,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70270676,"text":"70270676 - 2025 - Expansion of aquatic and marsh area into once forest and agricultural area reflects changing hydrological conditions along the Upper Mississippi and Illinois rivers (1989-2020)","interactions":[],"lastModifiedDate":"2025-08-22T14:58:35.451643","indexId":"70270676","displayToPublicDate":"2025-07-02T07:52:52","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Expansion of aquatic and marsh area into once forest and agricultural area reflects changing hydrological conditions along the Upper Mississippi and Illinois rivers (1989-2020)","docAbstract":"We examined 30-year trends in the abundance and distribution of aquatic and floodplain vegetation, as well as human land uses in five study reaches of the Upper Mississippi River and one reach of the Illinois River using aerial photography collected in years 1989, 2000, 2010, and 2020. Permanently inundated area increased in all study reaches over the 30-year period. Increases ranged from 0.8% of study reach area in Pool 8 (73 ha) to as much as 6.5% of study reach area in Pool 13 (1,562 ha). Agricultural land use declined in the three study reaches where it was common (>35% of reach area). Agricultural declines ranged from 5.8% of reach area in Pool 26 (2,096 ha) to as much as 15.4% of reach area in the Open River reach (7,121 ha) and corresponded with a similar magnitude increase in permanently inundated area and semi-permanently inundated marsh classes. Total forest area declined in the four northern study reaches of the Upper Mississippi River. Forest loss estimates were on the order of 3.7% of study reach area in Pool 13 (905 ha), 2.1% of Pool 8 (364 ha), and 2.3% of Pool 4 (563 ha). Such losses represent 16.2%, 13.2%, and 10.9% of the total forest area in 1989 in Pools 13, 8 and 4, respectively. Permanently inundated area, wet meadow, shallow marsh vegetation, and mud were the main cover types that replaced forest cover in these reaches. In contrast to the decline in forest cover in the northern reaches, forest cover remained unchanged in the La Grange reach of the Illinois River and increased by 3.5% of study reach area (1,607 ha) in the southern Open River reach of the Mississippi River, mainly in former marsh vegetation and agricultural areas that were acquired by Federal and State agencies. The predominant changes observed across the study system (replacement of agriculture and forest area by permanently inundated area and semi-permanently inundated marsh classes) indicates that hydrological changes have been the main driver of change since 1989 throughout most of the Upper Mississippi and Illinois Rivers. Our study provides an example of changes in a regulated river system driven by regional-scale hydrological changes and local scale restoration actions, changes that could be compared against changes occurring in other large, regulated rivers across the globe.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s10661-025-14185-1","usgsCitation":"De Jager, N.R., and Rohweder, J.J., 2025, Expansion of aquatic and marsh area into once forest and agricultural area reflects changing hydrological conditions along the Upper Mississippi and Illinois rivers (1989-2020): Environmental Monitoring and Assessment, v. 197, 842, 20 p., https://doi.org/10.1007/s10661-025-14185-1.","productDescription":"842, 20 p.","ipdsId":"IP-170179","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":494518,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Iowa, Minnesota, Missouri, Wisonsin","otherGeospatial":"Illinois River, Upper Mississippi River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -93.47033368549535,\n 45.06494692895831\n ],\n [\n -91.03762213168787,\n 41.802781990612445\n ],\n [\n -91.78448001625273,\n 39.567901677188814\n ],\n [\n -91.08461221362812,\n 39.174838868970895\n ],\n [\n -90.67917447922278,\n 39.11778055382109\n ],\n [\n -89.16995599770802,\n 41.29643131364776\n ],\n [\n -89.6835242575309,\n 41.8482923449634\n ],\n [\n -91.43075209513108,\n 45.01362944893481\n ],\n [\n -93.47033368549535,\n 45.06494692895831\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"197","noUsgsAuthors":false,"publicationDate":"2025-07-02","publicationStatus":"PW","contributors":{"authors":[{"text":"De Jager, Nathan R. 0000-0002-6649-4125 ndejager@usgs.gov","orcid":"https://orcid.org/0000-0002-6649-4125","contributorId":3717,"corporation":false,"usgs":true,"family":"De Jager","given":"Nathan","email":"ndejager@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":946810,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rohweder, Jason J. 0000-0001-5131-9773 jrohweder@usgs.gov","orcid":"https://orcid.org/0000-0001-5131-9773","contributorId":150539,"corporation":false,"usgs":true,"family":"Rohweder","given":"Jason","email":"jrohweder@usgs.gov","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":946811,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70268143,"text":"sir20235101 - 2025 - Hydraulic conductivity and transmissivity estimates from slug tests in wells within the Mississippi Alluvial Plain, Arkansas and Mississippi, 2020","interactions":[],"lastModifiedDate":"2026-01-26T19:15:04.764709","indexId":"sir20235101","displayToPublicDate":"2025-07-02T07:37:05","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-5101","displayTitle":"Hydraulic Conductivity and Transmissivity Estimates from Slug Tests in Wells Within the Mississippi Alluvial Plain, Arkansas and Mississippi, 2020","title":"Hydraulic conductivity and transmissivity estimates from slug tests in wells within the Mississippi Alluvial Plain, Arkansas and Mississippi, 2020","docAbstract":"During the spring and summer of 2020, the U.S. Geological Survey conducted single-well slug tests on selected observation wells within the Mississippi Alluvial Plain in Arkansas and Mississippi to estimate hydraulic conductivity and transmissivity values for the Mississippi River Valley alluvial and middle Claiborne aquifers. Well and aquifer data were collected from field measurements, well-construction reports, and published aquifer-thickness information. A total of 324 slug-in and slug-out tests were conducted on 48 wells by using mechanical slugs to displace the water column and submersible pressure transducers to record changes in water levels in the wells. Hydraulic conductivity of the aquifers in which the wells are screened was estimated by curve fitting the water-level-change data using aquifer test analysis software. Estimates of aquifer transmissivity were made by multiplying the estimated hydraulic conductivity value by the aquifer thickness at well locations. Mean hydraulic conductivity estimates for 44 observation wells screened in the Mississippi River Valley alluvial aquifer range from 3 to 401 feet per day, and mean transmissivity estimates range from 285 to 80,559 feet squared per day. Mean hydraulic conductivity estimates for four observation wells screened in units of the middle Claiborne aquifer range from 0.14 to 183 feet per day, and mean transmissivity estimates range from 55 to 67,913 feet squared per day. The results from these tests can be used to improve the understanding of water availability and groundwater migration, to refine groundwater models, and to ultimately provide stakeholders and decisionmakers better information for management of the groundwater resources within the Mississippi Alluvial Plain.
Director, Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
640 Grassmere Park, Suite 100
Nashville, TN 37211
Contact Us- USGS Publications Warehouse
","tableOfContents":"The U.S. Geological Survey Earth Resources Observation and Science Calibration and Validation (Cal/Val) Center of Excellence 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 Earth Resources Observation and Science Cal/Val Center of Excellence 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 8 and 9 for quarter 4 (October–December) of 2024. 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.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251036","usgsCitation":"Haque, M.O., Hasan, M.N., Shrestha, A., Rengarajan, R., Lubke, M., Steinwand, D., Bresnahan, P., Shaw, J.L., Ruslander, K., Micijevic, E., Choate, M.J., Anderson, C., Clauson, J., Thome, K., Kaita, E., Levy, R., Miller, J., Ding, L., and Teixeira Pinto, C., 2025, ECCOE Landsat quarterly Calibration and Validation report—Quarter 4, 2024: U.S. Geological Survey Open-File Report 2025–1036, 56 p., https://doi.org/10.3133/ofr20251036.","productDescription":"Report: viii, 56 p.; Dataset","numberOfPages":"68","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-175052","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":491624,"rank":6,"type":{"id":28,"text":"Dataset"},"url":"https://earthexplorer.usgs.gov/","text":"USGS database","linkHelpText":"- EarthExplorer"},{"id":491621,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251036/full"},{"id":491620,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1036/images/"},{"id":491619,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1036/ofr20251036.XML"},{"id":491618,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1036/ofr20251036.pdf","text":"Report","size":"5.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2025–1036"},{"id":491617,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1036/coverthb.jpg"}],"contact":"Director, Earth Resources Observation and Science Center
U.S. Geological Survey
47914 252nd Street
Sioux Falls, SD 57198
This report summarizes results from boat-based, high-resolution water-quality mapping surveys completed before, during, and after upgrades to the EchoWater Resource Recovery Facility (EchoWater Facility), the regional wastewater facility for the City of Sacramento and surrounding areas, near Elk Grove, California. Surveys were completed in the tidal aquatic environments of the Sacramento–San Joaquin Delta (Delta) in spring (May or June) 2018, 2020, 2021, and 2022. In each survey, a suite of in situ sensors were used to continuously (one measurement per second) measure water-quality conditions, nutrients, phytoplankton abundance, and species composition. In addition to in situ data collection, discrete water samples were collected about every 2 miles while underway for determination of phosphate, ammonium, and nitrate concentration. The boat stopped at about 30 locations to collect discrete samples for a suite of additional analytes, including phytoplankton enumeration. The four surveys represent snapshots in time across different phases of the EchoWater Facility Biological Nutrient Reduction (BNR) upgrade. The May 2018 survey represents conditions before the upgrade. The second survey (June 2020) represents conditions after implementation of the Nitrifying Sidestream Treatment. The third survey (May 2021) was completed immediately after the completion of the BNR upgrade and represents a transitional period, and the final survey (May 2022) represents post-upgrade conditions.
Relevant hydrologic and climatic context such as water-year type, X2 position (the distance from the Golden Gate Bridge to the point upstream where bottom salinity is 2 parts per thousand; Jassby and others, 1995), water export to import ratio, and management actions like the Delta Cross Channel gate operations are presented for each survey so they may be considered in comparisons among surveys. Differences in water-quality parameters, like turbidity, temperature, salinity, pH, and dissolved oxygen (DO) improve understanding of nutrient cycling and phytoplankton dynamics. Because the Delta is a complex system, we divided the study area into hydrologic zones to better examine general trends and obtain a broadscale view of differences among the 4 study years. Results are presented for each survey and parameter using box plots to compare the different hydrologic zones. We also present each parameter using contour maps by survey to display gradients across the system.
The most evident change to water quality in the Delta across surveys is related to the EchoWater Facility BNR upgrade, which included nitrification and denitrification processes. Through this upgrade, effluent ammonium (NH4+) concentrations were reduced by more than 95 percent (from about 2,000 micromolars [μM] to below the reporting limit of 35 μM), and nitrate (NO3−) concentrations increased from near zero to about 500 μM; therefore, the concentration of dissolved inorganic nitrogen (DIN; the sum of NH4+ and NO3−) in the effluent was reduced by about 75 percent between May 2018 and May 2022. The BNR upgrade resulted in a reduction in NH4+ concentrations in aquatic habitats immediately below the facility, designated as the “north Delta tidal transition zone” (Bergamaschi and others, 2024), from about 30 μM pre-upgrade to near zero during the 2022 spring survey, whereas effluent NO3− increased from median concentrations of about 7 μM to about 15 μM. Because of the reduced effluent nitrogen loads and variability in Sacramento River nitrogen loads from upstream sources, DIN concentrations in the north Delta tidal transition zone decreased from a median of 53.3 μM in 2018 to 35.3 μM in 2020, 20.7 μM in 2021, and 11.3 μM in 2022 during the spring surveys.
The changes in DIN concentration and form observed in the north Delta tidal transition zone after the EchoWater Facility upgrade extended downstream but were rapidly altered by hydrologic mixing, biogeochemical processes, and other nutrient source inputs. Most of the Delta indicated near-zero concentrations of NH4+ 1 year after the completion of the EchoWater Facility upgrades represented by the 2022 survey. Exceptions to this finding were observed in the San Joaquin River near Stockton and in Suisun Bay, indicating there are NH4+ inputs to these locations from other sources (for example, Stockton Regional Wastewater Control Facility and Central Contra Costs Sanitary District wastewater treatment plants or agricultural and urban runoff).
Although there was an increase in NO3− concentrations in the north Delta tidal transition zone after the upgrade, increases in NO3− in other zones were not apparent, presumably because nitrification of effluent derived ammonium was no longer a source of NO3−. Concentrations of DIN in many Delta zones were lower in 2022 compared to 2018 and 2020, with concentrations near or below what is considered potentially nitrogen limiting conditions for phytoplankton growth in the North Delta tidal transition zone and the Cache Slough complex channel system. Unrelated to the EchoWater Facility upgrade, NO3− and therefore DIN concentrations increased in the San Joaquin River near Stockton and in adjacent water bodies by survey date (likely associated with increasing drought conditions). The Mokelumne River had low DIN concentrations, except in 2018 when the Delta Cross Channel was open, which allowed nutrient-rich Sacramento River water to flow into this section of the river. Data from these surveys also support the hypothesis that nutrient drawdown during phytoplankton blooms may create localized nitrogen limiting conditions.
The BNR upgrade resulted in lower effluent phosphate (PO43−) concentrations, which lowered PO43− concentrations in some zones of the Delta during the four spring surveys; however, PO43− concentrations throughout the Delta remained above 0.3 μM, indicating that primary productivity was not limited by phosphorous availability. DIN and PO43− decreased after the upgrade in many areas of the Delta, and the DIN to dissolved inorganic phosphorus (DIN:DIP) ratio remained similar to pre-upgrade conditions and was often below the Redfield Ratio of 16, indicating nitrogen is more likely to limit phytoplankton growth than phosphorous. Inputs of dissolved organic carbon (DOC) from the EchoWater Facility are a minor source of this constituent to the Delta, so the upgrade had little to no effect on DOC concentrations across the Delta.
Because phytoplankton abundance and species composition in the Delta are shaped by multiple factors other than nutrients (for example, light availability, temperature, salinity, and predation), it is important to consider these factors (as well as long-term monitoring) in addition to the EchoWater Facility upgrade. Although phytoplankton populations were low across much of the Delta during the spring surveys, several localized phytoplankton blooms (defined here as greater than 15 micrograms per liter [μg/L] of chlorophyll) provide insight into conditions that may favor the growth of beneficial and harmful species.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255035","collaboration":"Prepared in cooperation with the Delta Regional Monitoring Program","programNote":"Water Resources Mission Area—Water Availability and Use Science Program","usgsCitation":"Richardson, E., Kraus, T., O’Donnell, K., Soto-Perez, J., Sturgeon, C., Stumpner, E., and Bergamaschi, B., 2025, Assessing spatial variability of nutrients, phytoplankton, and related water-quality constituents in the California\nSacramento–San Joaquin Delta at the landscape scale—Comparison of four (2018, 2020, 2021, 2022) spring high-resolution mapping surveys: U.S. Geological Survey Scientific Investigations Report 2025–5035, 78 p.,\nhttps://doi.org/10.3133/sir20255035.","productDescription":"Report: x, 78 p.; 3 Data Releases","onlineOnly":"Y","ipdsId":"IP-151343","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":491472,"rank":7,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5035/images"},{"id":491473,"rank":8,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5035/sir20255035.XML"},{"id":491469,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FQEUAL","text":"USGS data release","description":"USGS data release","linkHelpText":"Assessing spatial variability of nutrients and related water quality constituents in the California Sacramento–San Joaquin Delta at the landscape scale—2018 High resolution mapping surveys (ver. 2.0, October 2023)"},{"id":491468,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255035/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5035"},{"id":491467,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5035/sir20255035.pdf","text":"Report","size":"41.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5035"},{"id":491466,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5035/coverthb.jpg"},{"id":491471,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9QULEAT","text":"USGS data release","description":"USGS data release","linkHelpText":"Assessing spatial variability of nutrients, phytoplankton, and related water quality constituents in the California Sacramento–San Joaquin Delta at the landscape scale—2022 High resolution mapping surveys"},{"id":491470,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90VYUBX","text":"USGS data release","description":"USGS data release","linkHelpText":"Assessing spatial variability of nutrients, phytoplankton, and related water-quality constituents in the California Sacramento–San Joaquin Delta at the landscape scale—2020–2021 high-resolution mapping surveys"}],"country":"United States","state":"Callifornia","otherGeospatial":"Sacramento–San Joaquin Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121,\n 38.5833\n ],\n [\n -122.1667,\n 38.5833\n ],\n [\n -122.1667,\n 37.5\n ],\n [\n -121,\n 37.5\n ],\n [\n -121,\n 38.5833\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
Following the recovery of Peregrine Falcons (Falco peregrinus), the US Fish and Wildlife Service began a process to allow “take” (capture) of wild peregrines for falconry in the United States. Recently, that effort involved generating updated estimates of the collective abundance of the three North American peregrine subspecies: F. p. anatum, F. p. tundrius, and F. p. pealei (Peale's Peregrine Falcon). Because of the more limited distribution of F. p. pealei, we conducted an analysis specific to its geographic range. We analyzed data from a long-term banding and resighting program on three beaches on the southern coast of Washington, USA, to estimate the annual abundance of migrating and overwintering F. p. pealei, using the capture histories of 250 Peregrine Falcons, nearly all of which were captured during 1277 vehicle surveys between 1995 and 2024. Because we studied an open population of migratory individuals, we used a zero-inflated Poisson log-normal mark-resight model to estimate annual abundance. For the analyses, we partitioned our survey data into sighting periods, each of which extended from 1 September of one year to 31 May of the next. We anticipated that first-year F. p. pealei would be identified for falconry take, and our annual abundance estimates for first-year birds of this subspecies ranged from a high of 24.8 ± 6.1 (SE) individuals in the 2014–2015 sighting period to a low of 1.9 ± 1.4 individuals in the 2023–2024 sighting period. Peregrine Falcon abundance varied annually and appeared to decline during the last two sighting periods. Our sighting rate of marked peregrines was negatively associated with Bald Eagle (Haliaeetus leucocephalus) encounter rate. There was a lesser relationship to human activity, and we suspect the change in sighting rate was a behavioral response by Peregrine Falcons to the threat of kleptoparasitism by Bald Eagles. We currently lack comprehensive information about the natal origin of the individual peregrines in our study area, which prevented us from assessing the degree to which falconry take from the pool of falcons migrating to or through Washington might potentially impact local or regional abundances. Although a better understanding of natal origins is needed, our data add clarity to the migration and overwinter abundance of F. p. pealei on the Washington coast and may inform decisions about the take of this subspecies for falconry.
","language":"English","publisher":"BioOne","doi":"10.3356/jrr2482","usgsCitation":"Daniel E. Varland, Joseph B. Buchanan, Guthrie S. Zimmerman, Bauder, J.M., Tracy L. Fleming, Brian A. Millsap, 2025, Estimated annual abundance of migratory Peale's Peregrine Falcons in coastal Washington, USA: Journal of Raptor Research, v. 59, no. 3, p. 1-16, https://doi.org/10.3356/jrr2482.","productDescription":"16 p.","startPage":"1","endPage":"16","ipdsId":"IP-177337","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500591,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3356/jrr2482","text":"Publisher Index Page"},{"id":500426,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -124.72822793496042,\n 47.20172472210811\n ],\n [\n -124.72822793496042,\n 46.15365987938665\n ],\n [\n -123.42708843918685,\n 46.15365987938665\n ],\n [\n -123.42708843918685,\n 47.20172472210811\n ],\n [\n -124.72822793496042,\n 47.20172472210811\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"59","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-07-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Daniel E. Varland","contributorId":366594,"corporation":false,"usgs":false,"family":"Daniel E. Varland","affiliations":[{"id":37634,"text":"Coastal Raptors","active":true,"usgs":false}],"preferred":false,"id":956075,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Joseph B. Buchanan","contributorId":366595,"corporation":false,"usgs":false,"family":"Joseph B. Buchanan","affiliations":[{"id":7113,"text":"private citizen","active":true,"usgs":false}],"preferred":false,"id":956076,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guthrie S. Zimmerman","contributorId":366596,"corporation":false,"usgs":false,"family":"Guthrie S. Zimmerman","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":956077,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bauder, Javan Mathias 0000-0002-2055-5324","orcid":"https://orcid.org/0000-0002-2055-5324","contributorId":337814,"corporation":false,"usgs":true,"family":"Bauder","given":"Javan","email":"","middleInitial":"Mathias","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":956078,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tracy L. Fleming","contributorId":366597,"corporation":false,"usgs":false,"family":"Tracy L. Fleming","affiliations":[{"id":7113,"text":"private citizen","active":true,"usgs":false}],"preferred":false,"id":956079,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brian A. Millsap","contributorId":366598,"corporation":false,"usgs":false,"family":"Brian A. Millsap","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":956080,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70273395,"text":"70273395 - 2025 - Groundwater surveillance of swine pathogens from private wells supplying swine farms in Iowa","interactions":[],"lastModifiedDate":"2026-01-12T16:59:35.112322","indexId":"70273395","displayToPublicDate":"2025-07-01T10:59:05","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Groundwater surveillance of swine pathogens from private wells supplying swine farms in Iowa","docAbstract":"Biosecurity practices are essential for maintaining pig health and productivity. Despite these measures, pathogen spread still occurs. Water is one of the largest daily inputs on swine farms by volume and is not routinely tested or disinfected before it is consumed by the animals [1-3], making it a poorly understood biosecurity risk. Groundwater from privately-owned wells is a common water source for swine farms. Pathogens in the landscape, such as bacteria, viruses, and protozoa, can reach groundwater more rapidly through soil macropores, maintaining viability and facilitating transmission of pathogens into aquifers [3-13].
","conferenceTitle":"2025 ISU James D. McKean Swine Disease Conference","conferenceDate":"June 24-25, 2025","conferenceLocation":"Ames, IA","language":"English","publisher":"Iowa State University Swine Disease Conference; American Association of Swine Veterinarians Library","usgsCitation":"Doughan, G., Walthart, B., Moncrief, M., Snezek, E., Skoland, K., Firnstahl, A.D., Gauger, P., Brown, J., Bonnema, J.L., Borchardt, M.A., Heffron, J., Stokdyk, J.P., Burch, T., and Karriker, L., 2025, Groundwater surveillance of swine pathogens from private wells supplying swine farms in Iowa, 2025 ISU James D. 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Long-term trends of permafrost dynamics cannot be estimated directly from monitoring of present-day thaw processes, requiring paleoclimate-proxy information. Here we use cave carbonates (speleothems) from a northern Siberian cave to determine when the Northern Hemisphere was mostly permafrost-free. At present, thick continuous permafrost in this region prevents speleothem growth. In a series of partially eroded caves, speleothems grew during the late Tortonian stage (8.68 ± 0.09 Ma), a time when the geographic position of this site was already similar to today. Paleotemperatures reconstructed from speleothems show that mean annual air temperatures (MAAT) in the region were + 6.6°C to + 11.1°C, when contemporary global MAAT were ~ 4.5 °C higher than modern. Our findings provide direct evidence that warming to Tortonian-like temperatures would leave most of the Northern Hemisphere permafrost-free. This may release up to ~ 130 petagrams of carbon, enhancing further warming.
","language":"English","publisher":"Nature","doi":"10.1038/s41467-025-60381-5","usgsCitation":"Vaks, A., Mason, A., Breitenbach, S., Giesche, A., Osinzev, A., Adrian, I., Kononov, A., Umbo, S., Lechleitner, F., Rosensaft, M., and Henderson, G., 2025, Arctic speleothems reveal nearly permafrost-free Northern Hemisphere in the Late Miocene: Nature Communications, v. 16, 5483, 13 p., https://doi.org/10.1038/s41467-025-60381-5.","productDescription":"5483, 13 p.","ipdsId":"IP-165979","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":492044,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-025-60381-5","text":"Publisher Index Page"},{"id":491740,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China, Mongolia, Russia","otherGeospatial":"Siberia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 140,\n 75\n ],\n [\n 90,\n 75\n ],\n [\n 90,\n 45\n ],\n [\n 140,\n 45\n ],\n [\n 140,\n 75\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"16","noUsgsAuthors":false,"publicationDate":"2025-07-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Vaks, Anton","contributorId":357620,"corporation":false,"usgs":false,"family":"Vaks","given":"Anton","affiliations":[{"id":85474,"text":"Geochemistry and Environmental Geology Division, Geological Survey of Israel, Jerusalem, 9692100, Israel","active":true,"usgs":false}],"preferred":false,"id":942040,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mason, Andrew","contributorId":357621,"corporation":false,"usgs":false,"family":"Mason","given":"Andrew","affiliations":[{"id":85476,"text":"Department of Earth Sciences, Oxford University, Oxford, OX1 3AN United Kingdom","active":true,"usgs":false}],"preferred":false,"id":942041,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Breitenbach, Sebastian F.M.","contributorId":357622,"corporation":false,"usgs":false,"family":"Breitenbach","given":"Sebastian F.M.","affiliations":[{"id":84240,"text":"Department of Earth and Environmental Sciences, Northumbria University, Newcastle-Upon-Tyne, NE1 8ST, United Kingdom","active":true,"usgs":false}],"preferred":false,"id":942042,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Giesche, Alena Maria 0000-0003-3673-7269","orcid":"https://orcid.org/0000-0003-3673-7269","contributorId":344659,"corporation":false,"usgs":true,"family":"Giesche","given":"Alena Maria","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":942043,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Osinzev, Alexander","contributorId":357623,"corporation":false,"usgs":false,"family":"Osinzev","given":"Alexander","affiliations":[{"id":84245,"text":"Speleoclub Arabika, St. Mamina-Sibiryaka 6a, 664058 Irkutsk, Russia","active":true,"usgs":false}],"preferred":false,"id":942044,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Adrian, Irina","contributorId":357624,"corporation":false,"usgs":false,"family":"Adrian","given":"Irina","affiliations":[{"id":85477,"text":"Lena Delta Wildlife Reserve, Tiksi, Sakha Republic, 678400 Russia","active":true,"usgs":false}],"preferred":false,"id":942045,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kononov, Aleksandr","contributorId":357625,"corporation":false,"usgs":false,"family":"Kononov","given":"Aleksandr","affiliations":[{"id":85478,"text":"Irkutsk National Research Technical University, Irkutsk, 664074, Russia; Institute of the Earth's Crust, Russian Academy of Sciences, Siberian Branch, Irkutsk, 664033, Russia","active":true,"usgs":false}],"preferred":false,"id":942046,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Umbo, Stuart","contributorId":357626,"corporation":false,"usgs":false,"family":"Umbo","given":"Stuart","affiliations":[{"id":84240,"text":"Department of Earth and Environmental Sciences, Northumbria University, Newcastle-Upon-Tyne, NE1 8ST, United Kingdom","active":true,"usgs":false}],"preferred":false,"id":942047,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lechleitner, Franziska A.","contributorId":357627,"corporation":false,"usgs":false,"family":"Lechleitner","given":"Franziska A.","affiliations":[{"id":85479,"text":"Department of Chemistry, Biochemistry and Pharmaceutical Sciences & Oeschger Centre for Climate Change Research, Bern, 2012, Switzerland","active":true,"usgs":false}],"preferred":false,"id":942048,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rosensaft, Marcelo","contributorId":357628,"corporation":false,"usgs":false,"family":"Rosensaft","given":"Marcelo","affiliations":[{"id":85480,"text":"Geological Mapping Division, Geological Survey of Israel, Jerusalem, 9692100, Israel","active":true,"usgs":false}],"preferred":false,"id":942049,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Henderson, Gideon M.","contributorId":357629,"corporation":false,"usgs":false,"family":"Henderson","given":"Gideon M.","affiliations":[{"id":85476,"text":"Department of Earth Sciences, Oxford University, Oxford, OX1 3AN United Kingdom","active":true,"usgs":false}],"preferred":false,"id":942050,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70273178,"text":"70273178 - 2025 - Assessing lunar rare earth element resources","interactions":[],"lastModifiedDate":"2026-02-27T16:28:11.908304","indexId":"70273178","displayToPublicDate":"2025-07-01T10:18:49","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Assessing lunar rare earth element resources","docAbstract":"Rare Earth Elements (REEs) are increasingly attracting attention globally due to their pivotal role in enhancing the performance of various hightech devices. Small amounts of these elements greatly improve the performance of materials, making magnets stronger, lenses clearer, lights brighter, batteries last longer, etc. Here we examine the notion that REEs from the Moon might compete with mining on Earth.
","conferenceTitle":"Twenty-fifth Meeting of the Space Resources Roundtable","conferenceDate":"June 3-6, 2025","conferenceLocation":"Golden, Colorado","language":"English","publisher":"ISRU","usgsCitation":"Keszthelyi, L.P., Pigue, L.M., Bennett, K.A., Neal, C., Coyan, J.A., and Elphic, R., 2025, Assessing lunar rare earth element resources, Twenty-fifth Meeting of the Space Resources Roundtable, Golden, Colorado, June 3-6, 2025, 2 p.","productDescription":"2 p.","ipdsId":"IP-182575","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":497657,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://isruinfo.com/public/index.php?page=srr_25","linkFileType":{"id":5,"text":"html"}},{"id":500651,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Moon","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Keszthelyi, Laszlo P. 0000-0003-1879-4331 laz@usgs.gov","orcid":"https://orcid.org/0000-0003-1879-4331","contributorId":227,"corporation":false,"usgs":true,"family":"Keszthelyi","given":"Laszlo","email":"laz@usgs.gov","middleInitial":"P.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":952610,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pigue, Lori M. 0000-0002-6675-6877","orcid":"https://orcid.org/0000-0002-6675-6877","contributorId":330994,"corporation":false,"usgs":true,"family":"Pigue","given":"Lori","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":952613,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bennett, Kristen A. 0000-0001-8105-7129","orcid":"https://orcid.org/0000-0001-8105-7129","contributorId":237068,"corporation":false,"usgs":true,"family":"Bennett","given":"Kristen","email":"","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":952612,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Neal, Clive","contributorId":364381,"corporation":false,"usgs":false,"family":"Neal","given":"Clive","affiliations":[{"id":39516,"text":"University of Notre Dame","active":true,"usgs":false}],"preferred":false,"id":952614,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coyan, Joshua A. 0000-0002-8450-7364 jcoyan@usgs.gov","orcid":"https://orcid.org/0000-0002-8450-7364","contributorId":197481,"corporation":false,"usgs":true,"family":"Coyan","given":"Joshua","email":"jcoyan@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":952615,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Elphic, Richard","contributorId":364379,"corporation":false,"usgs":false,"family":"Elphic","given":"Richard","affiliations":[{"id":54804,"text":"NASA Ames","active":true,"usgs":false}],"preferred":false,"id":952611,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70270745,"text":"70270745 - 2025 - Differential habitat use of wintering Whooping Cranes throughout the range of the Eastern Migratory Population","interactions":[],"lastModifiedDate":"2025-08-25T15:17:46.156257","indexId":"70270745","displayToPublicDate":"2025-07-01T10:15:39","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Differential habitat use of wintering Whooping Cranes throughout the range of the Eastern Migratory Population","docAbstract":"In 2001, a reintroduced population of whooping cranes (Grus americana), the Eastern Migratory Population (EMP), was established in the eastern United States. There has been no assessment of habitat use of the EMP across the current winter distribution. During 2 winters, we used radio-telemetry to track groups of cranes each for 1 day. We grouped sites into 3 regions, based on natural clustering: north (Illinois, Indiana, Kentucky), central (Tennessee, Alabama), and south (Georgia, Florida, Louisiana). Home ranges decreased in size from north to south (4.9 ± 2.8, 3.1 ± 1.0, and 2.3 ± 0.5 km2, respectively). In the north and central regions, cranes often used agricultural areas, including those with hydric soil that were potentially inundated during winter (e.g., flooded fields). Home ranges in the south had the greatest proportion of wetlands (south: 37%, central: 7%, north: 1%). Wintering sites in the south potentially had higher habitat quality than other regions (small home ranges with many wetlands); however, many individuals wintered further north, indicating there was a potential tradeoff with migration distance or cranes adapted to new habitats. More research on the effects of winter habitat use on the population growth of the EMP may clarify the importance of high-quality habitat.
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Local Mi'gmaw fishers have reported an increase in sturgeon sightings over the last decade in the Restigouche River and estuary. Mi’gmaw Knowledge, oral history, and archaeological finds attest to their historical presence in the region; however, the river is not a documented habitat for Atlantic sturgeon in Western literature. Based on community interest and concern, the Gespe’gewa’gi Institute of Natural Understanding co-developed a Two-Eyed Seeing collaboration to learn more about these sturgeon. Here, we investigate their genetic origin via microsatellite analyses and hypothesized that they would originate from the closest spawning habitat, the St. Lawrence River. We found that, overall, the largest contributor to our Atlantic sturgeon sampled from the Restigouche River system was the St. Lawrence River (85.7% of samples), followed by the Wolastoq (3.6%), then a mixture of the St. Lawrence, the Wolastoq, the Kennebec, and/or the Hudson River populations (10.7%). Improving our understanding of the distribution of Atlantic sturgeon through microsatellite analyses and leveraging range-wide genetic baselines directly assesses the genetic origin of unknown stock compositions and can support the future co-management of the species.
","language":"English","publisher":"Springer Nature","doi":"10.1038/s41598-025-04551-x","usgsCitation":"Daigle, N., White, S.L., Lubinski, B.A., Johnson, R.L., Kazyak, D.C., Verhille, C., Gillis, C., and Sacobie, C., 2025, Stock composition of cryptic Atlantic sturgeon (Acipenser oxyrinchus oxyrinchus) in the Restigouche River and estuary, Canada: Scientific Reports, v. 15, 20654, 9 p., https://doi.org/10.1038/s41598-025-04551-x.","productDescription":"20654, 9 p.","ipdsId":"IP-177062","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":492066,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-025-04551-x","text":"Publisher Index Page"},{"id":491826,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","otherGeospatial":"Restigouche River and estuary","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -67.15137496671557,\n 48.182537528398825\n ],\n [\n -67.15137496671557,\n 47.90205429943009\n ],\n [\n -66.42669391278181,\n 47.90205429943009\n ],\n [\n -66.42669391278181,\n 48.182537528398825\n ],\n [\n -67.15137496671557,\n 48.182537528398825\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","noUsgsAuthors":false,"publicationDate":"2025-07-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Daigle, N.J.","contributorId":357559,"corporation":false,"usgs":false,"family":"Daigle","given":"N.J.","affiliations":[{"id":18889,"text":"University of New Brunswick","active":true,"usgs":false}],"preferred":false,"id":941776,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, Shannon L. 0000-0003-4687-6596","orcid":"https://orcid.org/0000-0003-4687-6596","contributorId":263424,"corporation":false,"usgs":true,"family":"White","given":"Shannon","email":"","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":941777,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lubinski, Barbara A. 0000-0003-3568-2569","orcid":"https://orcid.org/0000-0003-3568-2569","contributorId":202483,"corporation":false,"usgs":true,"family":"Lubinski","given":"Barbara","email":"","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":941778,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Robin L. 0000-0003-4314-3792 rjohnson1@usgs.gov","orcid":"https://orcid.org/0000-0003-4314-3792","contributorId":224717,"corporation":false,"usgs":true,"family":"Johnson","given":"Robin","email":"rjohnson1@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":941779,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kazyak, David C. 0000-0001-9860-4045","orcid":"https://orcid.org/0000-0001-9860-4045","contributorId":140409,"corporation":false,"usgs":true,"family":"Kazyak","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":941780,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Verhille, C.E.","contributorId":357560,"corporation":false,"usgs":false,"family":"Verhille","given":"C.E.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":941781,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gillis, C.A.","contributorId":357561,"corporation":false,"usgs":false,"family":"Gillis","given":"C.A.","affiliations":[{"id":85459,"text":"Gespe'gewa'gi Institute of Natural Understanding, Gespe'gewa'gi, Mi’gma’qi, Listuguj, QC","active":true,"usgs":false}],"preferred":false,"id":941782,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sacobie, C.F.D.","contributorId":357562,"corporation":false,"usgs":false,"family":"Sacobie","given":"C.F.D.","affiliations":[{"id":18889,"text":"University of New Brunswick","active":true,"usgs":false}],"preferred":false,"id":941783,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70271321,"text":"70271321 - 2025 - Living with wildfire in West Vail, Eagle County, Colorado: 2022 data report","interactions":[],"lastModifiedDate":"2025-09-08T14:49:06.641038","indexId":"70271321","displayToPublicDate":"2025-07-01T09:41:25","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":72,"text":"Research Note","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"RMRS-RN-106","title":"Living with wildfire in West Vail, Eagle County, Colorado: 2022 data report","docAbstract":"Community wildfire readiness includes homeowner wildfire risk mitigation and wildfire evacuation preparedness. This report presents results from a household survey distributed to 725 households in West Vail, Colorado in 2022. Results indicate that West Vail survey respondents may not fully understand the risk of damage or property loss due to a wildfire and may benefit from further information about wildfire risk contributors - in general and specific to their property - as well as evacuation preparedness information. Among common sources of wildfire risk information, respondents rated Vail Fire & Emergency Services as the most useful source. Most residents support wildfire risk reduction strategies on nearby public lands.
","language":"English","publisher":"USDA Forest Service Rocky Mountain Research Station","doi":"10.2737/RMRS-RN-106","usgsCitation":"Donovan, C., Champ, P.A., Wittenbrink, S., Cada, P., Brenkert-Smith, H., Meldrum, J., Barth, C.M., Wagner, C., Forrester, C., and Goolsby, J., 2025, Living with wildfire in West Vail, Eagle County, Colorado: 2022 data report: Research Note RMRS-RN-106, vi, 36 p., https://doi.org/10.2737/RMRS-RN-106.","productDescription":"vi, 36 p.","ipdsId":"IP-172452","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":495215,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","city":"West Vail","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -106.39497622711538,\n 39.65046974893238\n ],\n [\n -106.44217903630162,\n 39.65046974893238\n ],\n [\n -106.44217903630162,\n 39.61038105443487\n ],\n [\n -106.39497622711538,\n 39.61038105443487\n ],\n [\n -106.39497622711538,\n 39.65046974893238\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Donovan, Colleen","contributorId":240586,"corporation":false,"usgs":false,"family":"Donovan","given":"Colleen","email":"","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":948031,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Champ, Patricia A. 0000-0003-1917-883X","orcid":"https://orcid.org/0000-0003-1917-883X","contributorId":360956,"corporation":false,"usgs":false,"family":"Champ","given":"Patricia","middleInitial":"A.","affiliations":[{"id":86128,"text":"U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":948032,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wittenbrink, Suzanne","contributorId":333353,"corporation":false,"usgs":false,"family":"Wittenbrink","given":"Suzanne","email":"","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":948033,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cada, Paul","contributorId":296736,"corporation":false,"usgs":false,"family":"Cada","given":"Paul","email":"","affiliations":[{"id":64155,"text":"Vail Fire and Emergency Services","active":true,"usgs":false}],"preferred":false,"id":948034,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brenkert-Smith, Hannah 0000-0001-6117-8863","orcid":"https://orcid.org/0000-0001-6117-8863","contributorId":195485,"corporation":false,"usgs":false,"family":"Brenkert-Smith","given":"Hannah","email":"","affiliations":[],"preferred":false,"id":948035,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Meldrum, James R. 0000-0001-5250-3759 jmeldrum@usgs.gov","orcid":"https://orcid.org/0000-0001-5250-3759","contributorId":195484,"corporation":false,"usgs":true,"family":"Meldrum","given":"James","email":"jmeldrum@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":948036,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barth, Christopher M.","contributorId":360969,"corporation":false,"usgs":false,"family":"Barth","given":"Christopher","middleInitial":"M.","affiliations":[{"id":86132,"text":"U.S. Department of Agriculture, Forest Service, Washington Office","active":true,"usgs":false}],"preferred":false,"id":948037,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wagner, Carolyn","contributorId":240587,"corporation":false,"usgs":false,"family":"Wagner","given":"Carolyn","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":948038,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Forrester, Chiara","contributorId":328660,"corporation":false,"usgs":false,"family":"Forrester","given":"Chiara","email":"","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":948039,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Goolsby, Julia 0000-0002-2229-5685","orcid":"https://orcid.org/0000-0002-2229-5685","contributorId":295471,"corporation":false,"usgs":false,"family":"Goolsby","given":"Julia","affiliations":[{"id":13693,"text":"University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":948040,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70268820,"text":"70268820 - 2025 - UAS-based geomorphic change detection of incised montane meadow stream channels with low-tech process-based restoration treatments","interactions":[],"lastModifiedDate":"2025-07-08T16:45:00.729504","indexId":"70268820","displayToPublicDate":"2025-07-01T09:39:18","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"UAS-based geomorphic change detection of incised montane meadow stream channels with low-tech process-based restoration treatments","docAbstract":"Context
Montane meadows play an important hydrologic role in headwater catchments, but past land use has largely degraded their condition. Low-tech restoration methods, such as beaver dam analogs (BDAs), are increasingly used to support recovery of incised streams by promoting key geomorphic processes. However, there remains a need for studies that leverage UAS for monitoring low-tech restoration treatments in incised meadow systems.
Objectives
This study maps and characterizes geomorphic changes in two incised meadow stream channels in Red Clover Valley, CA with installed beaver dam analog structures. We used UAS-based photogrammetric surveys to track changes over a three-year period (2021–2023).
Methods
Geomorphic change was assessed using DEM differencing with error thresholding, repeat geomorphic unit (GU) classification, and Shannon Diversity Index (SHDI) to measure spatial shifts in geomorphic complexity.
Results
Geomorphic responses varied by site and survey period. The subchannel B (SCB) site exhibited net deposition, while the lower Dixie Creek (LDC) site showed net erosion. BDAs appeared to enhance geomorphic activity, particularly in LDC, where near BDA areas showed greater sediment deposition and localized erosion compared to reference sites. SHDI values were positively correlated with erosion at both sites, suggesting that erosional processes may have promoted geomorphic diversity by creating or reorganizing GU in the incised channels.
Conclusions
UAS-SfM surveys captured erosion and deposition patterns and revealed the influence of BDAs and local channel characteristics on geomorphic change and unit diversity. These findings highlight the utility of UAS methods for monitoring restoration impacts in incised montane meadow streams.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s10980-025-02134-9","usgsCitation":"LeBeau, R., Villarreal, M.L., and Davis, J., 2025, UAS-based geomorphic change detection of incised montane meadow stream channels with low-tech process-based restoration treatments: Landscape Ecology, no. 40, 135, 31 p., https://doi.org/10.1007/s10980-025-02134-9.","productDescription":"135, 31 p.","ipdsId":"IP-164377","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":492064,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10980-025-02134-9","text":"Publisher Index Page"},{"id":491822,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Red Clover Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.58675993175365,\n 40.31575686885685\n ],\n [\n -121.58675993175365,\n 39.3573574299993\n ],\n [\n -119.99751644063116,\n 39.3573574299993\n ],\n [\n -119.99751644063116,\n 40.31575686885685\n ],\n [\n -121.58675993175365,\n 40.31575686885685\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","issue":"40","noUsgsAuthors":false,"publicationDate":"2025-07-01","publicationStatus":"PW","contributors":{"authors":[{"text":"LeBeau, Raymond 0009-0005-1520-5249","orcid":"https://orcid.org/0009-0005-1520-5249","contributorId":350819,"corporation":false,"usgs":true,"family":"LeBeau","given":"Raymond","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":942238,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Villarreal, Miguel L. 0000-0003-0720-1422 mvillarreal@usgs.gov","orcid":"https://orcid.org/0000-0003-0720-1422","contributorId":1424,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel","email":"mvillarreal@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":942239,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davis, Jerry D.","contributorId":357700,"corporation":false,"usgs":false,"family":"Davis","given":"Jerry D.","affiliations":[{"id":32962,"text":"SFSU","active":true,"usgs":false}],"preferred":false,"id":942240,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70271318,"text":"70271318 - 2025 - Living with wildfire in Chelan County Fire District #3, Chelan County, Washington: 2022 data report","interactions":[],"lastModifiedDate":"2025-09-08T14:40:02.071184","indexId":"70271318","displayToPublicDate":"2025-07-01T09:38:54","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":72,"text":"Research Note","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"RMRS-RN-105","title":"Living with wildfire in Chelan County Fire District #3, Chelan County, Washington: 2022 data report","docAbstract":"Community wildfire readiness includes homeowner wildfire risk mitigation and wildfire evacuation preparedness. In 2021 and 2022, the Wildfire Research (WiRē) Center partnered with Chelan County Fire District #3 (CCFD #3) to learn how CCFD #3 can effectively engage with residents about preparing for a wildfire event and mitigating wildfire risk around the home.
The CCFD #3 residents were responsive to the household survey (38% response rate). Respondents reported being aware of wildfire risk and having taken action to mitigate risk on their properties and prepare for evacuation. However, residents’ perceptions of property-level wildfire risk did not align with wildfire assessments conducted by trained assessors. Residents may benefit from financial assistance to support proper mitigation and educational outreach.
Study region: Headwaters of the upper Colorado River basin (UCOL), USA
Study focus: Surface-water and groundwater numerical models incorporating water-use information were used to investigate changes in climate, water use, and simulated hydrologic responses of snow processes, evapotranspiration, groundwater, and streamflow during recent wet (1982–1999) and drought (2000–2022) periods in the headwater subregions of the upper Colorado River basin.
New hydrologic insights for the region: Decreases in average streamflow between wet and drought periods ranged from 20 % in the Colorado River headwaters subregion to 23 % in the Gunnison River headwaters subregion. Like streamflow, average surface runoff was statistically less during the drought than the wet period, with decreases from 24–31 % in the headwaters. On a volume basis, runoff decreases were greater than streamflow decreases in both the Colorado River and Gunnison River headwaters. Although the amount of water-year groundwater discharge to streams remained nearly the same between the wet and drought periods, groundwater as a percentage of streamflow increased between the wet and drought periods, highlighting the importance of groundwater in sustaining streamflow during drought conditions. Multiple linear regression analyses revealed that snowmelt-only models were better than the best precipitation and temperature models at explaining streamflow variability from all headwater subregions for both the wet and drought periods.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ejrh.2025.102554","usgsCitation":"Tillman, F.D., Masbruch, M.D., Knight, J., Engott, J.A., Lopez, S.F., Jones, C.J., Dickinson, J.E., and Miller, M., 2025, Hydrologic response of groundwater and streamflow to natural and anthropogenic drivers of change in headwaters of the upper Colorado River basin during recent wet (1982–1999) and drought (2000–2022) conditions: Journal of Hydrology: Regional Studies, v. 60, 102554, 19 p., https://doi.org/10.1016/j.ejrh.2025.102554.","productDescription":"102554, 19 p.","ipdsId":"IP-176624","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":492063,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ejrh.2025.102554","text":"Publisher Index Page"},{"id":491819,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, New Mexico, Utah, Wyoming","otherGeospatial":"upper Colorado River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.83855791620346,\n 42.22226218528715\n ],\n [\n -110.83855791620346,\n 35.70206223466056\n ],\n [\n -106.7875698491801,\n 35.70206223466056\n ],\n [\n -106.7875698491801,\n 42.22226218528715\n ],\n [\n -110.83855791620346,\n 42.22226218528715\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"60","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tillman, Fred D. 0000-0002-2922-402X ftillman@usgs.gov","orcid":"https://orcid.org/0000-0002-2922-402X","contributorId":147809,"corporation":false,"usgs":true,"family":"Tillman","given":"Fred","email":"ftillman@usgs.gov","middleInitial":"D.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941860,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Masbruch, Melissa D. 0000-0001-6568-160X mmasbruch@usgs.gov","orcid":"https://orcid.org/0000-0001-6568-160X","contributorId":1902,"corporation":false,"usgs":true,"family":"Masbruch","given":"Melissa","email":"mmasbruch@usgs.gov","middleInitial":"D.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941861,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Knight, Jacob E. 0000-0003-0271-9011","orcid":"https://orcid.org/0000-0003-0271-9011","contributorId":204140,"corporation":false,"usgs":true,"family":"Knight","given":"Jacob E.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941862,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Engott, John A. 0000-0003-1889-4519 jaengott@usgs.gov","orcid":"https://orcid.org/0000-0003-1889-4519","contributorId":1142,"corporation":false,"usgs":true,"family":"Engott","given":"John","email":"jaengott@usgs.gov","middleInitial":"A.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941863,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lopez, Samuel Francisco 0000-0002-3544-7465","orcid":"https://orcid.org/0000-0002-3544-7465","contributorId":344607,"corporation":false,"usgs":true,"family":"Lopez","given":"Samuel","email":"","middleInitial":"Francisco","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941864,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jones, Casey J.R. 0000-0002-6991-8026","orcid":"https://orcid.org/0000-0002-6991-8026","contributorId":223364,"corporation":false,"usgs":true,"family":"Jones","given":"Casey","email":"","middleInitial":"J.R.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941865,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dickinson, Jesse E. 0000-0002-0048-0839 jdickins@usgs.gov","orcid":"https://orcid.org/0000-0002-0048-0839","contributorId":152545,"corporation":false,"usgs":true,"family":"Dickinson","given":"Jesse","email":"jdickins@usgs.gov","middleInitial":"E.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941866,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Miller, Matthew P. 0000-0002-2537-1823","orcid":"https://orcid.org/0000-0002-2537-1823","contributorId":220622,"corporation":false,"usgs":true,"family":"Miller","given":"Matthew P.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941867,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70269863,"text":"70269863 - 2025 - Angler dynamics in the St. Clair-Detroit River System after decades of change","interactions":[],"lastModifiedDate":"2025-12-15T16:29:47.588803","indexId":"70269863","displayToPublicDate":"2025-07-01T09:25:38","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Angler dynamics in the St. Clair-Detroit River System after decades of change","docAbstract":"Habitat and water quality were historically degraded within the St. Clair-Detroit River System (SCDRS). Beginning in 2004, extensive habitat restoration projects were implemented remediating losses of fish spawning beds and shoreline areas. Monitoring of post-restoration activities documented recovering fish populations; however, angler response remains unknown. Extensive creel surveys were conducted pre-restoration (2002–2004), but post-restoration (2012 and later) surveys were intermittent. The goal of this project was to examine both to create a comprehensive picture of the effects of restoration on angling. We calculated catch and harvest rates and inspected answers to supplemental questions collected by state and provincial agencies. We estimated economic impact of angling with a combination of lodging and gas expenses. Post-restoration, catch rates were higher, but harvest rates were variable for Lake St. Clair and the Detroit River. The 2017 open water boat fishery on Lake St. Clair was worth ∼$26 million. Increased fishing opportunities resulting from continued habitat and population recovery are leading to increased catch rates and likely attracting anglers to the area.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2025.102610","usgsCitation":"Castle, D., Galarowitz, T., Roseman, E., Claramunt, T., Chiotti, J., and Dvorak, R., 2025, Angler dynamics in the St. Clair-Detroit River System after decades of change: Journal of Great Lakes Research, v. 51, no. 6, 102610, 9 p., https://doi.org/10.1016/j.jglr.2025.102610.","productDescription":"102610, 9 p.","ipdsId":"IP-114671","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":493563,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Michigan, Ontario","otherGeospatial":"St. Clair-Detroit River System","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.32107024202449,\n 43.006850820856755\n ],\n [\n -82.49276432463705,\n 43.05309054601082\n ],\n [\n -82.89037167384419,\n 42.65229703000273\n ],\n [\n -83.21116851240926,\n 42.29236828270675\n ],\n [\n -83.25635116572803,\n 42.22214183316797\n ],\n [\n -83.32864341103848,\n 41.87992998994085\n ],\n [\n -83.05754749112448,\n 42.02777689684618\n ],\n [\n -82.94007259249524,\n 42.29236828270675\n ],\n [\n -82.49276432463705,\n 42.23886950969248\n ],\n [\n -82.36625289534328,\n 42.32578195995458\n ],\n [\n -82.37528942600714,\n 42.54919596223701\n ],\n [\n -82.32107024202449,\n 43.006850820856755\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"51","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-07-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Castle, Dana","contributorId":334167,"corporation":false,"usgs":false,"family":"Castle","given":"Dana","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":944777,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Galarowitz, T.","contributorId":359009,"corporation":false,"usgs":false,"family":"Galarowitz","given":"T.","affiliations":[{"id":13588,"text":"Central Michigan University","active":true,"usgs":false}],"preferred":false,"id":944778,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roseman, Edward 0000-0002-5315-9838 eroseman@usgs.gov","orcid":"https://orcid.org/0000-0002-5315-9838","contributorId":216805,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward","email":"eroseman@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":944779,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Claramunt, T.","contributorId":359011,"corporation":false,"usgs":false,"family":"Claramunt","given":"T.","affiliations":[{"id":6983,"text":"Michigan DNR","active":true,"usgs":false}],"preferred":false,"id":944780,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chiotti, J.","contributorId":207832,"corporation":false,"usgs":false,"family":"Chiotti","given":"J.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":944781,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dvorak, R.","contributorId":359014,"corporation":false,"usgs":false,"family":"Dvorak","given":"R.","affiliations":[{"id":13588,"text":"Central Michigan University","active":true,"usgs":false}],"preferred":false,"id":944782,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70268991,"text":"70268991 - 2025 - Salmonid sensory system development is affected by climate change driven temperature increases","interactions":[],"lastModifiedDate":"2025-07-14T14:10:12.219343","indexId":"70268991","displayToPublicDate":"2025-07-01T09:08:09","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Salmonid sensory system development is affected by climate change driven temperature increases","docAbstract":"Increases in water temperature due to global climate change are known to alter the course and timing of fish development. The mechanosensory lateral line (LL) system mediates flow-sensing behaviors vital for survival in fishes, but the effects of increased water temperatures resulting from climate change on its development have not been examined. Here LL development was documented in a cold-water salmonid (brook trout, Salvelinus fontinalis) reared at the thermograph of a long-term study stream (ambient) and two higher temperatures (+ 2 and + 4 °C) that reflect projected increases within their native range. At these two higher temperatures, fish reach crucial early life history transitions earlier (e.g., hatch, “swim-up” from gravel nests into the water column) and are larger in size through the parr (juvenile) stage. Early forming canal neuromast receptor organs are larger, and the process of canal morphogenesis is also accelerated suggesting potential consequences for neuromast function and presumably for LL-mediated behaviors. A potential mismatch between the timing of transitions in early life history stages, the ability to carry out LL-mediated behaviors (e.g., prey detection), and the timing of the seasonal emergence of their preferred prey, could have serious implications for cold-water salmonid ecology and survival.
","language":"English","publisher":"Nature","doi":"10.1038/s41598-025-99784-1","usgsCitation":"Jones, A., O'Donnell, M., Regish, A.M., and Webb, J., 2025, Salmonid sensory system development is affected by climate change driven temperature increases: Scientific Reports, v. 15, 20901, 13 p., https://doi.org/10.1038/s41598-025-99784-1.","productDescription":"20901, 13 p.","ipdsId":"IP-161230","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":492487,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-025-99784-1","text":"Publisher Index Page"},{"id":492198,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","noUsgsAuthors":false,"publicationDate":"2025-07-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Jones, Aubree","contributorId":357897,"corporation":false,"usgs":false,"family":"Jones","given":"Aubree","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":942838,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O'Donnell, Matthew J. 0000-0002-9089-2377","orcid":"https://orcid.org/0000-0002-9089-2377","contributorId":299019,"corporation":false,"usgs":true,"family":"O'Donnell","given":"Matthew J.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":942839,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Regish, Amy M. 0000-0003-4747-4265","orcid":"https://orcid.org/0000-0003-4747-4265","contributorId":265360,"corporation":false,"usgs":true,"family":"Regish","given":"Amy","email":"","middleInitial":"M.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":942840,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Webb, Jacqueline","contributorId":357899,"corporation":false,"usgs":false,"family":"Webb","given":"Jacqueline","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":942841,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70270831,"text":"70270831 - 2025 - Lake Ontario spring prey fish bottom trawl survey and Alewife assessment, 2025","interactions":[],"lastModifiedDate":"2025-08-26T14:31:22.279024","indexId":"70270831","displayToPublicDate":"2025-07-01T09:00:14","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Lake Ontario spring prey fish bottom trawl survey and Alewife assessment, 2025","docAbstract":"The multi-agency Lake Ontario spring prey fish survey quantifies changes in pelagic prey fish populations, in particular Alewife Alosa pseudoharengus, which are the primary prey supporting the lake’s sport fishes. The 2025 survey included 230 trawls in the main lake and embayments and sampled depths from 5.5 to 245 m (15 – 810 ft). The survey captured 504,541 fish from 33 species with a total weight of 7,301 kg (16,095 lbs). Alewife were 85% of the total catch numerically, while Yellow Perch Perca flavescens, Round Goby Neogobius melanostomus, Deepwater Sculpin Myoxocephalus thompsonii, and Rainbow Smelt Osmerus mordax, comprised 5%, 4%, 3%, and 1% of the catch, respectively.
The Alewife biomass index decreased from 2024 to 2025 (83 to 78 kg·ha-1) however due to an abundant 2024 Alewife year class the density index increased from 3,727 to 9,182 fish per ha-1. The Age-1 biomass (2024 year class) was 27.5 kg·ha-1, which was the greatest value estimated in the modern time series (since 1997). The abundance estimate for the 2024 Alewife year class (13.8 billion) was more than three times the number of all other Alewife combined (3.6 billion). Adult Alewife abundance decreased in 2025 which was consistent with predictions from 2024. Those predictive models suggested that adult Alewife biomass is likely to increase in 2026 and 2027, as the 2024 year class matures. Alewife condition declined in 2025, which was expected given the relatively high Alewife density. Acoustic-based prey fish densities were greater than previous years acoustic estimates especially at depths from 180 – 220 m (591 – 722 ft), however acoustic based densities continue to be substantially lower than trawl-based densities.
The 2025 biomass index was similar to 2024 for Emerald Shiner Notropis atherinoides and Threespine Stickleback Gasterosteus aculeatus, but was lower for Rainbow Smelt, and higher for Cisco Coregonus artedi. Three purported Bloater Coregonus hoyi were caught in the 2025 survey. Analysis of archived tissue identified five Bloater captured in previous surveys which increased the total number caught in Lake Ontario bottom trawl surveys to n = 24, since restoration stocking began in 2012. Whole lake density estimates of Lake Whitefish Coregonus clupeaformis increased in 2025 relative to 2024. Those density increases were due to increased catches in Canadian waters, as density in U.S. waters has remained low. The density index for wild or naturally reproduced juvenile Lake Trout Salvelinus namaycush increased in 2025 relative to 2024, with the most frequent catches occurring in waters around the Niagara River.
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