The Everglades Depth Estimation Network interpolates water-level gage data to produce daily water-level elevations for the Everglades in south Florida. These elevations were used to estimate flow vectors (gradients and directions) and volumetric flow rates using the Gradient-Related Discharge in an Everglades Network (GARDEN) application developed by the U.S. Geological Survey in cooperation with the U.S. Army Corps of Engineers. Flow rates in both the east-west and north-south directions were computed on a 400-meter square grid using modified parameters in the Manning’s equation. The frictional resistance parameter in the Manning’s equation was calibrated to measured flow rates at coastal creeks fed by Everglades Depth Estimation Network boundary flows. Levees and other features that act as barriers to flow were defined as “no-flow” grid cells where vectors were set to zero.
The flow volume magnitudes were calibrated with 2020 daily values of coastal river flows, and verification was performed using 2021 data. Within a given day, the measured coastal river flows fluctuate more than the GARDEN boundary flows because of tidal and wind forcings. Because the GARDEN boundary flows were the upstream water source for the coastal rivers, calibration focused on matching average daily flow volumes rather than daily fluctuations. The Pearson’s correlation coefficient is 0.766 for the 2020 calibration period and 0.566 for the 2021 verification period.
Applying GARDEN to periods with hydraulic-control-structure releases allows the propagation of structure flows to be seen in the daily flow-vector maps along with the multiday response of flows farther downgradient. Flow vectors may be overestimated near control structures because of difficulties in resolving the water gradient downstream from the structure. Flow vectors farther from the structure are more accurate than those near the structure.
Director, Caribbean-Florida Water Science Center
U.S. Geological Survey
4446 Pet Lane, Suite 108
Lutz, FL 33559
We present a hydroclimate synthesis of the southern Great Basin over the last two glacial-interglacial cycles focused on paleolakes in Death Valley (core DV93-1), Searles Valley (core SLAPP-SRLS17), Owens Valley (core OL92), and the Devils Hole cave. There is close agreement between the occurrence of lakes in Death Valley and the height of the water table in the Devils Hole (50 km east of Death Valley) during the last 200 kyr. Death Valley and Devils Hole have adjacent, partly overlapping, drainage areas and most likely did over the last 200 kyr. When the water table in the Devils Hole was above the threshold level of ∼5 m higher than the modern, permanent lakes existed in Death Valley. At water table elevations less than 5 m above the modern, ephemeral lakes, saline pans, and mudflats occurred in Death Valley. The close temporal agreement between inferred paleoenvironments from the sediments in the Death Valley core and the paleowater table elevation in Devils Hole suggests a common forcing and provides insight into climate variability in the southwestern United States over the last 200 kyr. Owens Valley and Searles Valley, which derived inflow waters from the Sierra Nevada via the Owens River, contain paleohydrologic records which match those from Death Valley and the Devils Hole in terms of timing and direction of water availability over the last 200 kyr, indicating a similar paleohydrologic history for the entire southern Great Basin region. Near the end of Marine Oxygen Isotope Stage 6 (MIS 6), 140 ka - 130 ka, Lake Manly in Death Valley became shallow and hypersaline, and ultimately dried up at 127.1 ka ±4.3 ka. The transition from glacial to interglacial vegetation, which involved the loss of Juniperus pollen and an increase in Quercus (oak) pollen, occurred in Death Valley core DV93-1 at 131.3 ka ±4.0 ka. Following the glacial to interglacial pollen shift, a large alkaline lake formed in Death Valley. Similar conditions (freshwater, high productivity, and a mixed, deeply oxygenated water column indicated by biomarkers) existed in Searles Lake between 135.3 +2.7/-2.9 ka and 130.1+2.7/-2.6 ka, also following the juniper-oak pollen transition. Sr isotopes in calcite and sulfate minerals (gypsum, glauberite, thenardite), and the rare occurrence of the sodium carbonate mineral northupite with a low 87Sr/86Sr ratio in core DV93-1, together with organic geochemical proxies from Searles core SLAPP-SRLS17, all suggest that at this time, late MIS 6 Lake Manly in Death Valley received alkaline water via spillover from Searles Valley into Death Valley through Panamint Valley. The hydrologic connection between Searles Valley, Panamint Valley, and Death Valley at Termination II (130 ka) is documented here for this system of pluvial lakes for the first time. The Devils Hole water table decreased to +6.5 m at 140.8 ka ±3.2 ka, rose briefly to +8 m at 137.6 ka ±0.5 ka, and then dropped 8 m by 120.36 ka ±0.45 ka, when it reached an elevation similar to the modern. The pluvial lakes in Death Valley and Searles Valley may have coincided with the rise of the Devils Hole water table at ∼137.6 ka ±0.5 ka years ago, although the age models for core DV93-1 and core SLAPP-SLRS17 during the end of MIS 6 carry large uncertainties.
The wild to domestic bird interface is an important nexus for emergence and transmission of highly pathogenic avian influenza (HPAI) viruses. Although the recent incursion of HPAI H5N1 Clade 2.3.4.4b into North America calls for emergency response and planning given the unprecedented scale, readily available data-driven models are lacking. Here, we provide high resolution spatial and temporal transmission risk models for the contiguous United States. Considering virus host ecology, we included weekly species-level wild waterfowl (Anatidae) abundance and endemic low pathogenic avian influenza virus prevalence metrics in combination with number of poultry farms per commodity type and relative biosecurity risks at two spatial scales: 3 km and county-level. Spillover risk varied across the annual cycle of waterfowl migration and some locations exhibited persistent risk throughout the year given higher poultry production. Validation using wild bird introduction events identified by phylogenetic analysis from 2022 to 2023 HPAI poultry outbreaks indicate strong model performance. The modular nature of our approach lends itself to building upon updated datasets under evolving conditions, testing hypothetical scenarios, or customizing results with proprietary data. This research demonstrates an adaptive approach for developing models to inform preparedness and response as novel outbreaks occur, viruses evolve, and additional data become available.
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M.","contributorId":265823,"corporation":false,"usgs":false,"family":"Kent","given":"Cody","email":"","middleInitial":"M.","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":921227,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sullivan, Jeffery D. 0000-0002-9242-2432","orcid":"https://orcid.org/0000-0002-9242-2432","contributorId":265822,"corporation":false,"usgs":true,"family":"Sullivan","given":"Jeffery","email":"","middleInitial":"D.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":921228,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Patyk, Kelly A.","contributorId":139696,"corporation":false,"usgs":false,"family":"Patyk","given":"Kelly","email":"","middleInitial":"A.","affiliations":[{"id":6622,"text":"US Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":921229,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCool, Mary-Jane","contributorId":347273,"corporation":false,"usgs":false,"family":"McCool","given":"Mary-Jane","email":"","affiliations":[{"id":36658,"text":"U.S. Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":921230,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Torchetti, Mia K.","contributorId":252830,"corporation":false,"usgs":false,"family":"Torchetti","given":"Mia","email":"","middleInitial":"K.","affiliations":[{"id":50437,"text":"US Department of Agriculture – Veterinary Services, Ames, Iowa, USA","active":true,"usgs":false}],"preferred":false,"id":921231,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lantz, Kristina","contributorId":317920,"corporation":false,"usgs":false,"family":"Lantz","given":"Kristina","email":"","affiliations":[{"id":69192,"text":"National Veterinary Services Laboratories, Animal and Plant Health Inspection Service, USDA","active":true,"usgs":false}],"preferred":false,"id":921232,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mullinax, Jennifer M.","contributorId":221170,"corporation":false,"usgs":false,"family":"Mullinax","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":921233,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70256069,"text":"70256069 - 2024 - Relatively stable pressure effects and time-increasing thermal contraction control Heber geothermal field deformation","interactions":[],"lastModifiedDate":"2024-07-18T14:37:36.425213","indexId":"70256069","displayToPublicDate":"2024-06-17T09:30:27","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Relatively stable pressure effects and time-increasing thermal contraction control Heber geothermal field deformation","docAbstract":"Due to geological complexities and observational gaps, it is challenging to identify the governing physical processes of geothermal field deformation including ground subsidence and earthquakes. In the west and east regions of the Heber Geothermal Field (HGF), decade-long subsidence was occurring despite injection of heat-depleted brines, along with transient reversals between uplift and subsidence. These observed phenomena contradict current knowledge that injection leads to surface uplift. Here we show that high-yield production wells at the HGF center siphon fluid from surrounding regions, which can cause subsidence at low-rate injection locations. Moreover, the thermal contraction effect by cooling increases with time and eventually overwhelms the pressure effects of pressure fluctuation and poroelastic responses, which keep relatively stable during geothermal operations. The observed subsidence anomalies result from the siphoning effect and thermal contraction. We further demonstrate that thermal contraction dominates long-term trends of surface displacement and seismicity growth, while pressure effects drive near-instantaneous changes.
","language":"English","publisher":"Nature","doi":"10.1038/s41467-024-49363-1","usgsCitation":"Jiang, G., Barbour, A.J., Skoumal, R.J., Materna, K.Z., and Crandall-Bear, A., 2024, Relatively stable pressure effects and time-increasing thermal contraction control Heber geothermal field deformation: Nature Communications, v. 15, 5159, 14 p., https://doi.org/10.1038/s41467-024-49363-1.","productDescription":"5159, 14 p.","ipdsId":"IP-152355","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":439387,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-024-49363-1","text":"Publisher Index Page"},{"id":431218,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Heber geothermal field","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -115.6,\n 32.75\n ],\n [\n -115.6,\n 32.68\n ],\n [\n -115.48,\n 32.68\n ],\n [\n -115.48,\n 32.75\n ],\n [\n -115.6,\n 32.75\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","noUsgsAuthors":false,"publicationDate":"2024-06-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Jiang, Guoyan 0000-0002-6602-7295","orcid":"https://orcid.org/0000-0002-6602-7295","contributorId":256973,"corporation":false,"usgs":false,"family":"Jiang","given":"Guoyan","email":"","affiliations":[{"id":51926,"text":"CUHK","active":true,"usgs":false}],"preferred":false,"id":906600,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barbour, Andrew J. 0000-0002-6890-2452","orcid":"https://orcid.org/0000-0002-6890-2452","contributorId":215339,"corporation":false,"usgs":true,"family":"Barbour","given":"Andrew","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":906601,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Skoumal, Robert John 0000-0002-6960-481X rskoumal@usgs.gov","orcid":"https://orcid.org/0000-0002-6960-481X","contributorId":299165,"corporation":false,"usgs":true,"family":"Skoumal","given":"Robert","email":"rskoumal@usgs.gov","middleInitial":"John","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":906602,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Materna, Kathryn Zerbe 0000-0002-6687-980X","orcid":"https://orcid.org/0000-0002-6687-980X","contributorId":261337,"corporation":false,"usgs":true,"family":"Materna","given":"Kathryn","email":"","middleInitial":"Zerbe","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":906603,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Crandall-Bear, Aren","contributorId":340209,"corporation":false,"usgs":false,"family":"Crandall-Bear","given":"Aren","affiliations":[{"id":81505,"text":"Univ Nevada Reno","active":true,"usgs":false}],"preferred":false,"id":906604,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70256457,"text":"70256457 - 2024 - Variation in Cooper's Hawk (Accipiter cooperii) eggshell thickness: DDT, measurement methods, and location","interactions":[],"lastModifiedDate":"2024-08-05T21:48:29.828048","indexId":"70256457","displayToPublicDate":"2024-06-14T16:43:32","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"title":"Variation in Cooper's Hawk (Accipiter cooperii) eggshell thickness: DDT, measurement methods, and location","docAbstract":"We collected Cooper's Hawk (Accipiter cooperii) eggshells from nests in the Tucson, Arizona, USA, area in the 1990s incidental to other activities and compared them to pre-DDT Cooper's Hawk eggshells (119 museum specimens from 14 states, 1894–1939) ranging from 0.284–0.402 mm (x̄= 0.348 mm, SD = 0.0243) and we also compared them to reported thicknesses found in the literature. We found that within-state eggshell thickness varied as did eggshell thickness among states. Of the pre-DDT eggshells measured, those from Arizona, Utah, and Nevada were thinnest and generally eggs from western states (x̄= 0.339 mm, SD = 0.0184) had significantly thinner eggshells than those for eastern states (x̄= 0.359 mm, SD = 0.0256). Other published measurements of pre-DDT Cooper's Hawk eggshells were slightly lower than ours but were generally within the lower range of our measurements, which was expected because of the measuring technique used in earlier studies versus our method. Cooper's Hawk eggshells that were collected from nests in the Tucson area in the 1990s had a mean thickness of 0.309 mm (SD = 0.0191) and the pre-DDT mean thickness of museum eggshells from Arizona was 0.333 mm (SD = 0.018). Although the Tucson eggshells were significantly thinner than pre-DDT eggshells overall (t = 10.8, df = 100.4, P < 0.001), some individual pre-DDT eggshells and even some means from other regions (e.g., New Hampshire, New York, and Nevada) were similarly thin. Measurements of these pre-DDT eggshells show wide variation and demonstrate the importance of comparing eggs from the same geographical area and having an adequate sample size.
","language":"English","publisher":"The Raptor Research Foundation, Inc.","doi":"10.3356/JRR-23-56","usgsCitation":"Santolo, G., and Boal, C.W., 2024, Variation in Cooper's Hawk (Accipiter cooperii) eggshell thickness: DDT, measurement methods, and location: Journal of Raptor Research, v. 58, no. 3, p. 1-9, https://doi.org/10.3356/JRR-23-56.","productDescription":"9 p.","startPage":"1","endPage":"9","ipdsId":"IP-155031","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":432230,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","city":"Tuscon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.23084326682839,\n 32.47297048965915\n ],\n [\n -111.23084326682839,\n 31.994860625328343\n ],\n [\n -110.66901597123126,\n 31.994860625328343\n ],\n [\n -110.66901597123126,\n 32.47297048965915\n ],\n [\n -111.23084326682839,\n 32.47297048965915\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"58","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Santolo, G. M.","contributorId":340691,"corporation":false,"usgs":false,"family":"Santolo","given":"G. M.","affiliations":[{"id":80834,"text":"Jacobs","active":true,"usgs":false}],"preferred":false,"id":907460,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boal, Clint W. 0000-0001-6008-8911 cboal@usgs.gov","orcid":"https://orcid.org/0000-0001-6008-8911","contributorId":1909,"corporation":false,"usgs":true,"family":"Boal","given":"Clint","email":"cboal@usgs.gov","middleInitial":"W.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":907461,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70255319,"text":"70255319 - 2024 - Evaluation of coal mine drainage and associated precipitates for radium and rare earth element concentrations","interactions":[],"lastModifiedDate":"2024-06-17T11:34:23.899483","indexId":"70255319","displayToPublicDate":"2024-06-14T06:32:03","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17825,"text":"Journal of International Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of coal mine drainage and associated precipitates for radium and rare earth element concentrations","docAbstract":"Coal mine drainage (CMD) and associated metal-rich precipitates have recently been proposed as unconventional sources of rare earth elements (REEs). However, the potential occurrence of radium (Ra), a known carcinogen, with the REE-bearing phases has not been investigated. We hypothesized that Ra may occur in solids that are precipitated from CMD as a “radiobarite” solid solution ((Ba,Sr,Ra)SO4) and/or adsorbed with hydrous metal oxides. REEs have been documented to sorb or co-precipitate with iron (Fe), manganese (Mn), and aluminum (Al) oxyhydroxide in CMD solids. Likewise, Ra has been documented to sorb to hydrous Fe and Mn oxides especially where sulfate (SO4) and/or barium (Ba) concentrations are insufficient to precipitate radiobarite. Thus, we conducted the first-ever survey of Ra concentrations in corresponding CMD water and solid samples in the United States. Samples were analyzed from 4 untreated and 9 treated CMD sites in both the bituminous and anthracite coal regions of Pennsylvania across a range of pH and SO4 concentrations. The dissolved Ra in CMD was relatively low (<0.5 Bq/L), consistent with radiobarite solubility; however, CMD solids were largely composed of amorphous Fe, Al, and Mn oxyhydroxide and silicate minerals. Ra was associated with Mn-enriched CMD solids, upwards of 875 Bq/kg. Total REE + yttrium (Y) content in the CMD solids was enriched upwards of 3600 mg/kg and was significantly correlated with Al content. These preliminary results suggest that REE extraction may target Al-rich solids to avoid Ra in Mn-rich solids.
The bedrock geology of the Woodstock 7.5-minute quadrangle consists of highly deformed metasedimentary rocks of the Central Maine trough, including the Silurian Rangeley and Perry Mountain Formations and the Devonian Littleton Formation. The central, northern, and eastern parts of the quadrangle are underlain by the oldest rocks in the area, the Rangeley Formation. In the southwest and south-central part of the quadrangle, metaturbidites of the Perry Mountain Formation and subsequent Littleton Formation overly the Rangeley Formation in a deformed F1 synform, herein informally called the Bagley Brook basin. The metasedimentary rocks were intruded by widespread syn- to post-tectonic granitoids of the Devonian New Hampshire Plutonic Suite and minor post-metamorphic Jurassic-Cretaceous mafic dikes of the White Mountain Plutonic-Volcanic Suite. The metasedimentary rocks were affected by at least two episodes of deformation in the Devonian Acadian orogeny. The dominant regional foliation is second-generation (S2/D2) and formed during the development of sillimanite-muscovite mineral assemblages. Large bodies of the Early Devonian Kinsman Granodiorite intruded the metasedimentary rocks semi-concordantly during D2 deformation. Dikes of the Late Devonian Concord Granite cut the Kinsman Granodiorite and the metasedimentary rocks and were emplaced either syn- or post-D2. The map pattern in the Rangeley Formation is dominated by northeast to northwest trending, moderately to steeply north-dipping F2 and F3 folds. Map-scale F1 folds are defined by the Bagley Brook basin. Previous division of Rangeley Formation stratigraphy in this region into “upper” and “lower” parts was not corroborated by 1:24,000-scale mapping of lithodemic units, and rocks previously mapped as part of the Smalls Falls and Madrid Formations are here reassigned to the Rangeley Formation. Some rocks previously mapped as the lower part of the Littleton Formation are now assigned to the Perry Mountain Formation. The Littleton Formation on this map is approximately equivalent to rocks previously mapped as the upper part of the same formation.
Steeply dipping fractures in the quadrangle show a preferred northeast orientation, consistent with subsurface fracture orientations in the well fields near Mirror Lake. Jurassic-Cretaceous mafic dikes and normal faults show preferred northeast orientations, similar to the fractures, suggesting that the extensional stress field that controlled dike orientation during the Mesozoic also produced the dominant brittle fabrics in the area.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3522","collaboration":"Prepared in cooperation with the State of New Hampshire, Department of Environmental Services, New Hampshire Geological Survey; and the U.S. Department of Agriculture Forest Service","usgsCitation":"Walsh, G.J., Burton, W.C., Armstrong, T.R., and Crider, E.A., Jr., 2024, Bedrock geologic map of the Woodstock quadrangle, Grafton County, New Hampshire: U.S. Geological Survey Scientific Investigations Map 3522, 1 sheet, scale 1:24,000, includes 20-p. pamphlet, https://doi.org/10.3133/sim3522.","productDescription":"Report: viii, 20 p.; 1 Sheet: 38.22 x 36.27 inches; Data Release","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-133738","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":429746,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3522/sim3522_sheet.pdf","text":"Sheet","size":"131 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3522 Sheet"},{"id":429740,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3522/coverthb.jpg"},{"id":429895,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sim/3522/images/"},{"id":429741,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3522/sim3522_pamphlet.pdf","text":"Pamphlet","size":"24.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3522 PDF"},{"id":429743,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sim/3522/sim3522.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIM 3522 XML"},{"id":429745,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96TJ9OI","text":"USGS data release","linkHelpText":"Database for the bedrock geologic map of the Woodstock quadrangle, Grafton County, New Hampshire"},{"id":499290,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117075.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New Hampshire","county":"Grafton County","otherGeospatial":"Woodstock quadrangle","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -71.75,\n 44\n ],\n [\n -71.75,\n 43.875\n ],\n [\n -71.625,\n 43.875\n ],\n [\n -71.625,\n 44\n ],\n [\n -71.75,\n 44\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Florence Bascom Geoscience Center
U.S. Geological Survey
12201 Sunrise Valley Drive, MS 926A
Reston, VA 20192
Earthquake Science Center
U.S. Geological Survey
345 Middlefield Road
Mail Stop 977
Menlo Park, CA 94025
Offshore of the Pacific Northwest of the United States is the Cascadia Subduction Zone, a 1,000-kilometer-long tectonic boundary defined by a large fault, called a megathrust, that extends from the Mendocino Junction off northern California to the Nootka Fracture Zone off Vancouver Island, Canada (U.S. Geological Survey, 2023). The Juan de Fuca and Gorda oceanic plates to the west of this boundary subduct under the North America continental plate to the east. Several other smaller faults that cut through the North America plate crust also affect the region. Although their effects upon Ozette Lake are uncertain, geological evidence for past earthquakes, such as underwater landslides, may be found in Pacific Northwest lakes.
Underwater landslides caused by past earthquakes should be well preserved in these relatively undisturbed lake environments. The floor of Ozette Lake, Washington, located along the Pacific coast of the United States, west of the Puget Sound region and about 140 kilometers east of the megathrust was mapped by the U.S. Geological Survey in July of 2019 to search for evidence of past earthquakes. Mapping was completed using a SWATHplus-M 234-kHz interferometric side scan sonar system pole-mounted on the U.S. Geological Survey research vessel San Lorenzo. The system collected full-coverage bathymetric and acoustic backscatter data that were processed to 2-meter spatial resolution (Dartnell and others, 2024). This two-map series displays the results of this mapping. A colored shaded relief bathymetry map (sheet 1) and an acoustic backscatter map (sheet 2) show the lake floor morphology and backscatter intensities, respectively, that can be analyzed for evidence of past earthquakes.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3517","usgsCitation":"Dartnell, P., Brothers, D., Ritchie, A.C., Sherrod, B., Currie, J.E., Dal Ferro, P., and Powers, D.C., 2024, Colored shaded relief bathymetry and acoustic backscatter of Ozette Lake, Washington: U.S. Geological Survey Scientific Investigations Map 3517, 2 sheets, scale 1:18,000, https://doi.org/10.3133/sim3517.","productDescription":"2 Sheets: 27.81 × 37.40 inches; Data Release","onlineOnly":"Y","ipdsId":"IP-155366","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":429905,"rank":1,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3517/sim3517_sheet1.pdf","text":"Sheet 1","size":"45 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Colored shaded relief bathymetry map"},{"id":429906,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3517/sim3517_sheet2.pdf","text":"Sheet 2","size":"50 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Acoustic backscatter map"},{"id":429912,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3517/covrthb.jpg"},{"id":499286,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117068.htm","linkFileType":{"id":5,"text":"html"}},{"id":429913,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9U91FSB","text":"USGS Data Release","description":"Dartnell, P., Brothers, D.S., Ritchie, A.C.,Sherrod, B., Currie, J.E., Dal Ferro, P., Powers, D.C., 2024, Bathymetry and acoustic-backscatter data for Ozette Lake, Washington collected during USGS field activity 2019-622-FA: U.S. Geological Survey data release, https://doi.org/10.5066/P9U91FSB.","linkHelpText":"Bathymetry and acoustic-backscatter data for Ozette Lake, Washington collected during USGS field activity 2019-622-FA"}],"country":"United States","state":"Washington","otherGeospatial":"Ozette Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -124.7303438621736,\n 48.18265809125998\n ],\n [\n -124.7303438621736,\n 48.025264988649184\n ],\n [\n -124.54883551443689,\n 48.025264988649184\n ],\n [\n -124.54883551443689,\n 48.18265809125998\n ],\n [\n -124.7303438621736,\n 48.18265809125998\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Pacific Coastal and Marine Science Center
U.S. Geological Survey
2885 Mission St.
Santa Cruz, CA 95060
Patterns of genetic variation reflect interactions among microevolutionary forces that vary in strength with changing demography. Here, patterns of variation within and among samples of the mouthbrooding gafftopsail catfish (Bagre marinus, Family Ariidae) captured in the U.S. Atlantic and throughout the Gulf of Mexico were analyzed using genomics to generate neutral and non-neutral SNP data sets. Because genomic resources are lacking for ariids, linkage disequilibrium network analysis was used to examine patterns of putatively adaptive variation. Finally, historical demographic parameters were estimated from site frequency spectra. The results show four differentiated groups, corresponding to the (1) U.S. Atlantic, and the (2) northeastern, (3) northwestern, and (4) southern Gulf of Mexico. The non-neutral data presented two contrasting signals of structure, one due to increases in diversity moving west to east and north to south, and another to increased heterozygosity in the Atlantic. Demographic analysis suggested that recently reduced long-term effective population size in the Atlantic is likely an important driver of patterns of genetic variation and is consistent with a known reduction in population size potentially due to an epizootic. Overall, patterns of genetic variation resemble that of other fishes that use the same estuarine habitats as nurseries, regardless of the presence/absence of a larval phase, supporting the idea that adult/juvenile behavior and habitat are important predictors of contemporary patterns of genetic structure.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.11514","usgsCitation":"Portnoy, D., O’Leary, S., Fields, A., Hollenbeck, C., Grubbs, D., Peterson, C.T., Gardiner, J.M., Adams, D.H., Falterman, B.J., Drymon, M., Higgs, J., Pulster, E.L., Wiley, T.R., and Murawski, S.A., 2024, Complex patterns of genetic population structure in the mouthbrooding marine catfish, Bagre marinus, in the Gulf of Mexico and U.S. Atlantic: Ecology and Evolution, v. 14, no. 6, e11514, 17 p., https://doi.org/10.1002/ece3.11514.","productDescription":"e11514, 17 p.","ipdsId":"IP-154769","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":488379,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.11514","text":"Publisher Index Page"},{"id":483723,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Florida, Louisiana, Mississippi, Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -95.29152077763281,\n 29.56689601666315\n ],\n [\n -97.45962197170657,\n 27.990895644456877\n ],\n [\n -97.26881016273337,\n 26.941956959447566\n ],\n [\n -96.75946919598539,\n 23.66545412590893\n ],\n [\n -85.25761732740077,\n 23.983718532918626\n ],\n [\n -82.38168063591635,\n 26.73318282390811\n ],\n [\n -82.56064499802049,\n 28.74988098475081\n ],\n [\n -83.35026206707057,\n 30.16139071916595\n ],\n [\n -88.50192915509156,\n 30.578400459537164\n ],\n [\n -91.03101254156992,\n 29.889197075232616\n ],\n [\n -95.29152077763281,\n 29.56689601666315\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-06-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Portnoy, David 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M.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":931608,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grubbs, Dean","contributorId":352533,"corporation":false,"usgs":false,"family":"Grubbs","given":"Dean","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":931609,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peterson, Cheston T.","contributorId":209973,"corporation":false,"usgs":false,"family":"Peterson","given":"Cheston","email":"","middleInitial":"T.","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":931610,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gardiner, Jayne M.","contributorId":265610,"corporation":false,"usgs":false,"family":"Gardiner","given":"Jayne","email":"","middleInitial":"M.","affiliations":[{"id":54732,"text":"Division of Natural Sciences, New College of Florida","active":true,"usgs":false}],"preferred":false,"id":931611,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Adams, Douglas H.","contributorId":270070,"corporation":false,"usgs":false,"family":"Adams","given":"Douglas","email":"","middleInitial":"H.","affiliations":[{"id":56069,"text":"Cape Canaveral Scientific Inc","active":true,"usgs":false}],"preferred":false,"id":931612,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Falterman, Brett J.","contributorId":213053,"corporation":false,"usgs":false,"family":"Falterman","given":"Brett","email":"","middleInitial":"J.","affiliations":[{"id":12717,"text":"Louisiana Department of Wildlife and Fisheries","active":true,"usgs":false}],"preferred":false,"id":931613,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Drymon, Marcus","contributorId":352535,"corporation":false,"usgs":false,"family":"Drymon","given":"Marcus","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":931614,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Higgs, Jeremy M.","contributorId":352537,"corporation":false,"usgs":false,"family":"Higgs","given":"Jeremy M.","affiliations":[{"id":12460,"text":"The University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":931615,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Pulster, Erin L. 0000-0003-4574-8613","orcid":"https://orcid.org/0000-0003-4574-8613","contributorId":300266,"corporation":false,"usgs":true,"family":"Pulster","given":"Erin","email":"","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":931616,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Wiley, Tonya R.","contributorId":265628,"corporation":false,"usgs":false,"family":"Wiley","given":"Tonya","email":"","middleInitial":"R.","affiliations":[{"id":54740,"text":"Havenworth Coastal Conservation","active":true,"usgs":false}],"preferred":false,"id":931617,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Murawski, Steven A.","contributorId":46377,"corporation":false,"usgs":false,"family":"Murawski","given":"Steven","email":"","middleInitial":"A.","affiliations":[{"id":34793,"text":"National Oceanic and Atmospheric Administration (NOAA)","active":true,"usgs":false}],"preferred":false,"id":931618,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70254673,"text":"70254673 - 2024 - Origins and nature of large explosive eruptions in the lower East Rift Zone of Kīlauea volcano, Hawaii: Insights from ash characterization and geochemistry","interactions":[],"lastModifiedDate":"2024-06-06T14:05:57.984491","indexId":"70254673","displayToPublicDate":"2024-06-05T08:50:57","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Origins and nature of large explosive eruptions in the lower East Rift Zone of Kīlauea volcano, Hawaii: Insights from ash characterization and geochemistry","docAbstract":"Several powerful explosive eruptions have taken place in the populated lower East Rift Zone of Kīlauea within the past ∼750 years. These have created distinctive landforms, including a tephra rim enclosing Puʻulena Crater immediately south of the Puna Geothermal Venture power station, a tuff cone at Kapoho Crater near the eastern cape of the Island of Hawaiʻi, and a set of littoral cones, the Sand Hill in Nānāwale, where the 1840 lava flow poured into the ocean. Kapoho Crater tuff cone is the largest of these recent pyroclastic features. Mineral, glass, and melt inclusion analyses of tuff cone ash and later fissure-related scoriaceous materials also found within the crater indicate slightly evolved basaltic magmas (1120–1130 °C) that are compositionally similar to parts of the effusive lower East Rift Zone eruptions in 1955 and 2018. Tuff cone magmas were stored at depths of ∼2.5–3.5 km and had pre-eruptive volatile contents (0.5–0.8 wt% H2O, 280–340 ppm CO2, 1400–1800 ppm S) similar to other Kīlauea eruptions (e.g., 1959, 1960), suggesting that internal magma properties were unlikely to account for the unusual explosiveness of this eruption. Tephra componentry, grain-size analyses, and field observations confirm that the cone grew during a phreatomagmatic eruption mostly of vitric ash, probably where a fissure opened across the coastline or shallow ocean floor nearby. Supporting this hypothesis is the identification of at least two genera of marine diatoms within tuff cone strata. Sand Hill littoral cone ash is also vitric like that of Kapoho Crater, but distinctly coarser with abundant fluidal ejecta represented. In contrast, the Puʻulena Crater eruption deposited lithic ash and related blocks with minor juvenile magmatic contribution; a phreatomagmatic eruption that was dominantly phreatic. Differences in eruption styles are related to unique mechanics that tephra analyses help us interpret. While powerful explosive eruptions in the lower East Rift Zone are rare, they present a definite future hazard for inhabitants in this part of Hawaii.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2024.108114","usgsCitation":"Hazlett, R.W., Schmith, J., Lerner, A., Downs, D.T., Fitch, E.P., Parcheta, C., Gansecki, C., and Spaulding, S., 2024, Origins and nature of large explosive eruptions in the lower East Rift Zone of Kīlauea volcano, Hawaii: Insights from ash characterization and geochemistry: Journal of Volcanology and Geothermal Research, v. 452, 108114, 21 p., https://doi.org/10.1016/j.jvolgeores.2024.108114.","productDescription":"108114, 21 p.","ipdsId":"IP-157881","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":434947,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13WW9NZ","text":"USGS data release","linkHelpText":"Whole rock and micro-analytical geochemistry of minerals, melt inclusions, and matrix glasses from Kapoho Crater and Puʻulena Crater, Kīlauea Volcano, Hawaiʻi"},{"id":429568,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"East Rift Zone of Kīlauea volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -155.333,\n 19.60833820451697\n ],\n [\n -155.333,\n 19.414265921910896\n ],\n [\n -154.79886041637545,\n 19.414265921910896\n ],\n [\n -154.79886041637545,\n 19.60833820451697\n ],\n [\n -155.333,\n 19.60833820451697\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"452","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hazlett, Richard W. 0000-0002-8841-0906","orcid":"https://orcid.org/0000-0002-8841-0906","contributorId":214066,"corporation":false,"usgs":false,"family":"Hazlett","given":"Richard","email":"","middleInitial":"W.","affiliations":[{"id":38976,"text":"Pomona College, Claremont, CA; UH Hilo, Hilo HI; Department of Interior","active":true,"usgs":false}],"preferred":false,"id":902206,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmith, Johanne 0000-0002-0912-7441","orcid":"https://orcid.org/0000-0002-0912-7441","contributorId":334956,"corporation":false,"usgs":true,"family":"Schmith","given":"Johanne","affiliations":[{"id":80292,"text":"Hawaiian Volcano Observatory","active":true,"usgs":false}],"preferred":true,"id":902207,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lerner, Allan 0000-0001-7208-1493","orcid":"https://orcid.org/0000-0001-7208-1493","contributorId":229362,"corporation":false,"usgs":true,"family":"Lerner","given":"Allan","email":"","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":902208,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Downs, Drew T. 0000-0002-9056-1404 ddowns@usgs.gov","orcid":"https://orcid.org/0000-0002-9056-1404","contributorId":173516,"corporation":false,"usgs":true,"family":"Downs","given":"Drew","email":"ddowns@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":902209,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fitch, Erin P.","contributorId":337215,"corporation":false,"usgs":false,"family":"Fitch","given":"Erin","email":"","middleInitial":"P.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":902210,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Parcheta, Carolyn E.","contributorId":337216,"corporation":false,"usgs":false,"family":"Parcheta","given":"Carolyn E.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":902211,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gansecki, Cheryl A.","contributorId":337218,"corporation":false,"usgs":false,"family":"Gansecki","given":"Cheryl A.","affiliations":[{"id":34677,"text":"University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":902212,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Spaulding, Sarah A. 0000-0002-9787-7743","orcid":"https://orcid.org/0000-0002-9787-7743","contributorId":223186,"corporation":false,"usgs":true,"family":"Spaulding","given":"Sarah","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":902213,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70262148,"text":"70262148 - 2024 - An integrative approach to assessing bridle shiner (Notropis bifrenatus) distribution using environmental DNA and traditional techniques","interactions":[],"lastModifiedDate":"2025-01-15T17:43:37.035181","indexId":"70262148","displayToPublicDate":"2024-06-03T10:37:53","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"An integrative approach to assessing bridle shiner (Notropis bifrenatus) distribution using environmental DNA and traditional techniques","docAbstract":"The bridle shiner (Notropis bifrenatus) is a small cyprinid native to the eastern United States and Canada. Bridle shiner populations have declined across their range, and the species now receives concern status or legal protection in 13 states and two provinces. Bridle shiners were historically found in southern and western Maine in densely vegetated, shallow habitats along the shorelines of streams and ponds. We surveyed areas of Maine that supported historical bridle shiner populations using environmental DNA (eDNA) and traditional seine netting methods, and then used eDNA sampling to survey areas with unknown bridle shiner presence. We rediscovered bridle shiner populations at 11 of 32 historically occupied waterbodies and documented bridle shiners in four additional waterbodies. We determined that both eDNA and seine net surveys are viable options for monitoring bridle shiners in Maine and identified ways to streamline the eDNA methods used in this study to reduce the time and cost of future surveys.
","language":"English","publisher":"Elsevier","doi":"10.1139/cjfas-2023-0234","usgsCitation":"Katz, L., Coghlan, S., Blomberg, E., Kinnison, M., York, G., and Zydlewski, J.D., 2024, An integrative approach to assessing bridle shiner (Notropis bifrenatus) distribution using environmental DNA and traditional techniques: Canadian Journal of Fisheries and Aquatic Sciences, v. 81, no. 9, p. 1217-1237, https://doi.org/10.1139/cjfas-2023-0234.","productDescription":"21 p.","startPage":"1217","endPage":"1237","ipdsId":"IP-156983","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":466443,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -70.28687941744356,\n 44.13283787289649\n ],\n [\n -70.98433494928311,\n 43.14408728902501\n ],\n [\n -68.27891486555993,\n 43.975774632672454\n ],\n [\n -67.15480975601744,\n 44.885588956909174\n ],\n [\n -70.28687941744356,\n 44.13283787289649\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"81","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Katz, Lara S.","contributorId":348223,"corporation":false,"usgs":false,"family":"Katz","given":"Lara S.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":923268,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coghlan, Stephen M. Jr.","contributorId":348224,"corporation":false,"usgs":false,"family":"Coghlan","given":"Stephen M. Jr.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":923269,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blomberg, Erik J.","contributorId":348225,"corporation":false,"usgs":false,"family":"Blomberg","given":"Erik J.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":923270,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kinnison, Michael T.","contributorId":348226,"corporation":false,"usgs":false,"family":"Kinnison","given":"Michael T.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":923271,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"York, Geneva","contributorId":348227,"corporation":false,"usgs":false,"family":"York","given":"Geneva","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":923272,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":923273,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70262836,"text":"70262836 - 2024 - Intraguild interactions and abiotic conditions mediate occupancy of mammalian carnivores: Co-occurrence of coyotes–fishers–martens","interactions":[],"lastModifiedDate":"2025-01-24T17:11:08.33212","indexId":"70262836","displayToPublicDate":"2024-06-03T10:05:15","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2939,"text":"Oikos","active":true,"publicationSubtype":{"id":10}},"title":"Intraguild interactions and abiotic conditions mediate occupancy of mammalian carnivores: Co-occurrence of coyotes–fishers–martens","docAbstract":"The widespread eradication of large carnivores and subsequent expansion of top mesopredators has the potential to impact species and community interactions with ecosystem-wide implications. An example of these trophic dynamics is the widespread establishment of coyotes following extirpation of wolves and mountain lions in eastern North America. Here, we examined occupancy of three carnivores in northern New York considering both environmental/habitat factors and interspecific interactions. We estimated the co-occurrence of coyotes, fishers, and martens from a landscape-scale winter camera trap survey repeated annually for three years. Martens occurred independently of both coyotes and fishers, while fishers and coyotes displayed positive intraguild interactions that were constant across the landscape. Both marten and fisher first-order occupancy were driven by a combination of biotic and abiotic factors, with both species displaying positive associations with forest cover but antithetical responses to average snow depth. The integral and antithetical role of snow depth in driving the occurrence of martens (positive) and fishers (negative) in the landscape indicates that future climatic warming could reduce the availability of current spatial refuges for martens created by severe winter conditions. Climate-driven alterations to established competitive interactions and co-existence patterns between marten and fisher have critical implications for the species survival and conservation. We provide correlational evidence consistent with the potential for positive top–down effects of dominant mesocarnivores on subordinate species, with fisher occupancy increasing conditional on the presence of coyotes across the landscape. These findings align with the hypothesis that under certain conditions, coyotes may facilitate certain subordinate carnivores. The evidence produced here is consistent with hypotheses on the dynamic nature of trophic niches. We demonstrate the need to consider the interplay between climate, habitat, and interspecific interactions to understand wildlife occupancy patterns and inform wildlife management in a rapidly changing world.
","language":"English","publisher":"Wiley","doi":"10.1111/oik.10577","usgsCitation":"Twining, J., Brazeal, J., Jensen, P., and Fuller, A.K., 2024, Intraguild interactions and abiotic conditions mediate occupancy of mammalian carnivores: Co-occurrence of coyotes–fishers–martens: Oikos, v. 2024, no. 6, e10577, 13 p., https://doi.org/10.1111/oik.10577.","productDescription":"e10577, 13 p.","ipdsId":"IP-146098","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":502431,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External Repository"},{"id":481154,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New 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At the landscape scale, disturbances and stressors can increase spatial variability and heterogeneity — indicators that can serve as potential early warnings of declining ecosystem resilience. Increased spatial variability in salt marshes at the landscape scale has been used to quantify the propagation of ponding in salt marsh interiors, but ponding at the landscape scale follows a state change rather than predicts it. Here, we suggest a novel application of commonly collected surface elevation table (SET) data and explore millimeter-scale marsh surface microtopography as a potential early indicator of ecosystem transition. We find an increase in spatial variability using multiple metrics of microtopographic heterogeneity in vulnerable salt marsh communities across the North American Atlantic seaboard. Increasing microtopographic heterogeneity in vulnerable salt marshes mirrored increasing trends in variance when a tipping point is approached in other alternative stable state systems — indicating that early warning signals of marsh drowning and ecosystem transition are observable at small-spatial scales prior to runaway ecosystem degradation. Congruence between traditional and novel metrics of marsh vulnerability suggests that microtopographic metrics can be used to identify hidden vulnerability before widespread marsh degradation. This novel analysis can be easily applied to existing SET records expanding the traditional focus on vertical change to additionally encapsulate lateral processes.
","language":"English","publisher":"Springer","doi":"10.1007/s12237-024-01368-1","usgsCitation":"Smith, A., Guntenspergen, G.R., Carr, J., Walters, D., and Kirwan, M.L., 2024, Microtopographic variation as a potential early indicator of ecosystem state change and vulnerability in salt marshes: Estuaries and Coasts, v. 47, p. 2120-2134, https://doi.org/10.1007/s12237-024-01368-1.","productDescription":"15 p.","startPage":"2120","endPage":"2134","ipdsId":"IP-152225","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":439454,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-024-01368-1","text":"Publisher Index Page"},{"id":429630,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Atlantic Coast","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -67.39758178435103,\n 45.14475385540766\n ],\n [\n -70.3084213352815,\n 44.02821671855119\n ],\n [\n -71.19813131307133,\n 42.49696112101563\n ],\n [\n -71.57437875840237,\n 41.77400052856967\n ],\n [\n -74.40185334833625,\n 40.717694399570604\n ],\n [\n -75.82782658631511,\n 39.87862316287672\n ],\n [\n -76.95565253223305,\n 39.00647866570182\n ],\n [\n -77.26038548427893,\n 38.094322653850526\n ],\n [\n -76.28092406797784,\n 36.66944073621046\n ],\n [\n -75.72598894650827,\n 36.54233944412836\n ],\n [\n -74.75705330756968,\n 38.64678711786095\n ],\n [\n -73.69818233519185,\n 40.18344404740452\n ],\n [\n -71.96808333306974,\n 40.73212702940066\n ],\n [\n -69.6902480827983,\n 41.09470832081422\n ],\n [\n -69.72249581894347,\n 42.0772922743393\n ],\n [\n -70.83603122003584,\n 42.39345455358591\n ],\n [\n -70.33580285947554,\n 42.8225641153189\n ],\n [\n -69.75405469649851,\n 43.62569649795407\n ],\n [\n -66.82164389282606,\n 44.61783474223677\n ],\n [\n -67.39758178435103,\n 45.14475385540766\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"47","noUsgsAuthors":false,"publicationDate":"2024-06-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Alexander J.","contributorId":140345,"corporation":false,"usgs":false,"family":"Smith","given":"Alexander J.","affiliations":[{"id":13464,"text":"Environmental Analyst, NY State Dept of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":902307,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guntenspergen, Glenn R. 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":2885,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":902308,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carr, Joel A. 0000-0002-9164-4156 jcarr@usgs.gov","orcid":"https://orcid.org/0000-0002-9164-4156","contributorId":168645,"corporation":false,"usgs":true,"family":"Carr","given":"Joel A.","email":"jcarr@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":902309,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walters, David 0000-0002-5836-681X waltersd@usgs.gov","orcid":"https://orcid.org/0000-0002-5836-681X","contributorId":270366,"corporation":false,"usgs":true,"family":"Walters","given":"David","email":"waltersd@usgs.gov","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":902310,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kirwan, Matt L.","contributorId":189205,"corporation":false,"usgs":false,"family":"Kirwan","given":"Matt","middleInitial":"L.","affiliations":[],"preferred":false,"id":902311,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70256149,"text":"70256149 - 2024 - Post-wildfire curve number estimates for the southern Rocky Mountains in Colorado, USA","interactions":[],"lastModifiedDate":"2026-02-03T15:43:38.894615","indexId":"70256149","displayToPublicDate":"2024-06-01T09:32:17","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":91,"text":"Technical Report","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"ERDC-TR-24-12","title":"Post-wildfire curve number estimates for the southern Rocky Mountains in Colorado, USA","docAbstract":"The curve number method first developed by the US Department of Agriculture Soil Conservation Service (now the Natural Resources Conservation Service) is often used for post-wildfire runoff assessments. These assessments are critical for land and emergency managers making decisions on life and property risks following a wildfire event. Three approaches (i.e., historical event observations, linear regression model, and regression tree model) were used to help estimate a post-wildfire curve number from watershed and wildfire parameters. For the first method, we used runoff events from 102 burned watersheds in Colorado, southern Wyoming, northern New Mexico, and eastern Utah to quantify changes in curve number values from pre- to post-wildfire conditions. The curve number changes from the measured runoff events vary substantially between positive and negative values. The measured curve number changes were then associated with watershed characteristics (e.g., slope, elevation, northness, and eastness) and land cover type to develop prediction models that provide estimates of post-wildfire curve number changes. 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","language":"English","publisher":"US Army Engineer Research and Development Center","doi":"10.21079/11681/48652","usgsCitation":"Giovando, J., Reis, W., Shillito, R., Shaloka, E., Chow, C., Kohn, M.S., and Memarsadeghi, N., 2024, Post-wildfire curve number estimates for the southern Rocky Mountains in Colorado, USA: Technical Report ERDC-TR-24-12, ix, 84 p., https://doi.org/10.21079/11681/48652.","productDescription":"ix, 84 p.","ipdsId":"IP-162032","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":499444,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, New Mexico, Utah, Wyoming","otherGeospatial":"southern Rocky Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -108.95412182470984,\n 34.62746181535826\n ],\n [\n -103.83257544602158,\n 34.78603007078627\n ],\n [\n -104.19360390493368,\n 40.626407642715634\n ],\n [\n -104.90056848621875,\n 42.22354390303653\n ],\n [\n -114.15700156995486,\n 41.76504082769486\n ],\n [\n -113.95988170488984,\n 40.27157097499236\n ],\n [\n -109.46888006608783,\n 37.34012253873847\n ],\n [\n -108.99864474095172,\n 37.28173602808141\n ],\n [\n -108.95412182470984,\n 34.62746181535826\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2024-06-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Giovando, Jeremy","contributorId":352388,"corporation":false,"usgs":false,"family":"Giovando","given":"Jeremy","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":906925,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reis, Wyatt","contributorId":340330,"corporation":false,"usgs":false,"family":"Reis","given":"Wyatt","affiliations":[{"id":40033,"text":"US Army Engineer Research and Development Center","active":true,"usgs":false}],"preferred":false,"id":906926,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shillito, Rose","contributorId":340331,"corporation":false,"usgs":false,"family":"Shillito","given":"Rose","affiliations":[{"id":40033,"text":"US Army Engineer Research and Development Center","active":true,"usgs":false}],"preferred":false,"id":906927,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shaloka, Elizabeth","contributorId":340332,"corporation":false,"usgs":false,"family":"Shaloka","given":"Elizabeth","affiliations":[{"id":81580,"text":"US Army Corps of Engineers Philadelphia District","active":true,"usgs":false}],"preferred":false,"id":906928,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chow, Christina","contributorId":340333,"corporation":false,"usgs":false,"family":"Chow","given":"Christina","affiliations":[{"id":40033,"text":"US Army Engineer Research and Development Center","active":true,"usgs":false}],"preferred":false,"id":906929,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kohn, Michael S. 0000-0002-5989-7700 mkohn@usgs.gov","orcid":"https://orcid.org/0000-0002-5989-7700","contributorId":4549,"corporation":false,"usgs":true,"family":"Kohn","given":"Michael","email":"mkohn@usgs.gov","middleInitial":"S.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":906930,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Memarsadeghi, Natalie","contributorId":340336,"corporation":false,"usgs":false,"family":"Memarsadeghi","given":"Natalie","affiliations":[{"id":81581,"text":"Coastal and Hydraulics Laboratory US Army Engineer Research and Development Center","active":true,"usgs":false}],"preferred":false,"id":906931,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70262004,"text":"70262004 - 2024 - Great Lakes lake trout (Salvelinus namaycush) thiamine monitoring program annual report","interactions":[],"lastModifiedDate":"2025-01-10T15:15:43.136902","indexId":"70262004","displayToPublicDate":"2024-06-01T09:08:23","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"displayTitle":"Great Lakes lake trout (Salvelinus namaycush) thiamine monitoring program annual report","title":"Great Lakes lake trout (Salvelinus namaycush) thiamine monitoring program annual report","docAbstract":"Thiamine deficiency in lake trout eggs has been identified to induce early life-stage mortality in the Great Lakes in the 1960s through the 1990s and potentially affecting lake trout recruitment. 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This geologic map compilation and GIS database are part of a broader study on the Quaternary faults in the Las Vegas Valley, the results of which are summarized in this report. The map compilation utilized a variety of digital base maps to evaluate the characteristics of surficial deposits and Quaternary fault scarps including lidar data in undeveloped parts of the valley and orthorectified historical aerial photos in the urbanized center of the valley. The map distinguishes twenty surficial map units including alluvial-fan and ephemeral-wash deposits, groundwater discharge deposits of the Las Vegas Formation, and alluvium deposits of Las Vegas Wash. Quaternary faults include the Quaternary Las Vegas Valley fault system in the center of the valley and the Frenchman Mountain fault system along the eastern margin. All Quaternary fault traces in the valley were evaluated, and the previously published fault mapping was modified as needed. The new mapping and uniform correlation of surficial deposits displaced by Quaternary faults yields a consistent valley-wide characterization of the recency of fault activity. The map and GIS database include a Quaternary geochronology compilation of 119 previously published surficial deposit ages of various types, 35 new luminescence ages, and 3 new radiocarbon ages. The new age data further bracket the ages of the Las Vegas basin Quaternary stratigraphy and provide new constraints on the timing of Quaternary fault activity.
To effectively maximize the conservation value of management plans intended to capture ecosystem-wide health, it is essential to obtain an understanding of emergent patterns in dietary dynamics spanning many species. Chesapeake Bay, USA, is a critical ecosystem used annually by a diverse assortment of waterbird species, including several of conservation concern. However, the ecosystem is threatened by many ecological pressures driven largely by the dense human population of the surrounding region. These issues necessitate proactive monitoring and management efforts to track the health of ecosystems like the Chesapeake Bay. Such monitoring efforts of population dynamics require adequate data on the connections between trophic levels to understand how changes to the forage base might influence higher trophic levels, such as these diverse avian predators. However, we have historically lacked standardized quantitative data drawing these connections at the community level, as well as the relative importance of these taxa in the diet of such predators. We collated existing quantitative data on avian dietary composition to construct a database on the diets of 58 waterbird species that make use of the Chesapeake Bay. From this database, we quantified the relative importance of forage taxa to the diet of each waterbird species. Such data can enable managers to develop a comprehensive suite of forage taxa indicators whose abundance and distributions can be monitored as a proxy for ecosystem health. It is our goal that this database be harnessed as a tool to enable conservation practitioners to prioritize indicator taxa for monitoring purposes, contributing towards conservation plans that best address the health of the ecosystem at large.
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425 Jordan Road
Troy, NY 12180–8349
The northward migration of the Mendocino triple junction (MTJ) drives a fundamental plate boundary transformation from convergence to translation; producing a series of strike-slip faults, that become the San Andreas plate boundary. We find that the 3-D structure of the Pacific plate lithosphere in the vicinity of the MTJ controls the location of San Andreas plate boundary formation. At the time of initiation of the Pacific-North America plate boundary (∼30 Ma), the sequential interaction with the western margin of North America of the Pioneer Fracture Zone, soon followed by the Mendocino Fracture Zone, led to the capture of a small segment of partially subducted Farallon lithosphere by the Pacific plate, termed the Pioneer Fragment (PF). Since that time, the PF has translated with the Pacific Plate along the western margin of North America. Recently developed, high-resolution seismic-tomographic imagery of northern California indicates that (a) the PF is extant, occupying the western half of the slab window, immediately south of the MTJ; (b) the eastern edge of the PF lies beneath the newly forming Maacama fault system, which develops to become the locus for the primary plate boundary structure after approximately 6–10 Ma; and (c) the location of the translating PF adjacent to the asthenosphere of the slab window generates a shear zone within and below the crust that develops into the plate boundary faults. As a result, the San Andreas plate boundary forms interior to the western margin of North America, rather than at its western edge.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023TC007963","usgsCitation":"Furlong, K.P., Villasenor, A., Benz, H.M., and McKenzie, K.A., 2024, Formation and evolution of the Pacific-North American (San Andreas) plate boundary: Constraints from the crustal architecture of northern California: Tectonics, v. 43, no. 6, e2023TC007963, 23 p., https://doi.org/10.1029/2023TC007963.","productDescription":"e2023TC007963, 23 p.","ipdsId":"IP-151540","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":439477,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023tc007963","text":"Publisher Index Page"},{"id":429573,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -125.8071147290406,\n 42.033195714112196\n ],\n [\n -125.8071147290406,\n 38.13155003327262\n ],\n [\n -122.14371876300378,\n 38.13155003327262\n ],\n [\n -122.14371876300378,\n 42.033195714112196\n ],\n [\n -125.8071147290406,\n 42.033195714112196\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"43","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-05-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Furlong, Kevin P. 0000-0002-2674-5110","orcid":"https://orcid.org/0000-0002-2674-5110","contributorId":19576,"corporation":false,"usgs":false,"family":"Furlong","given":"Kevin","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":902188,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Villasenor, Antonio","contributorId":335226,"corporation":false,"usgs":false,"family":"Villasenor","given":"Antonio","affiliations":[{"id":80350,"text":"Institut de Ciències del Mar, Barcelona, Spain","active":true,"usgs":false}],"preferred":false,"id":902189,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":902190,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McKenzie, Kirsty A. 0000-0001-6665-7812","orcid":"https://orcid.org/0000-0001-6665-7812","contributorId":337187,"corporation":false,"usgs":false,"family":"McKenzie","given":"Kirsty","email":"","middleInitial":"A.","affiliations":[{"id":16637,"text":"University of North Carolina, Chapel Hill","active":true,"usgs":false}],"preferred":false,"id":902191,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70254278,"text":"fs20243015 - 2024 - Assessment of undiscovered oil and gas resources of the North Chukchi Basin, outer continental shelf of the Chukchi and East Siberian Seas, Arctic Ocean, 2023","interactions":[],"lastModifiedDate":"2026-01-27T17:55:31.16331","indexId":"fs20243015","displayToPublicDate":"2024-05-29T09:52:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-3015","displayTitle":"Assessment of Undiscovered Oil and Gas Resources of the North Chukchi Basin, Outer Continental Shelf of the Chukchi and East Siberian Seas, Arctic Ocean, 2023","title":"Assessment of undiscovered oil and gas resources of the North Chukchi Basin, outer continental shelf of the Chukchi and East Siberian Seas, Arctic Ocean, 2023","docAbstract":"Using a geology-based assessment methodology, the U.S. Geological Survey estimated mean volumes of 1.8 billion barrels of oil and 119.9 trillion cubic feet of gas technically recoverable from undiscovered, conventional accumulations in Cretaceous and Cenozoic strata of the North Chukchi Basin.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20243015","programNote":"National and Global Petroleum Assessment","usgsCitation":"Houseknecht, D.W., Markey, C.P., Mercier, T.J., Schenk, C.J., Connors, C.D., Gooley, J.T., Botterell, P.J., Smith, R.A., Rouse, W.A., and Garrity, C.P., 2024, Assessment of undiscovered oil and gas resources of the North Chukchi Basin, outer continental shelf of the Chukchi and East Siberian Seas, Arctic Ocean, 2023 (ver. 1.2, July 2024): U.S. Geological Survey Fact Sheet 2024–3015, 4 p., https://doi.org/10.3133/fs20243015.","productDescription":"Report: 4 p.; Data Release","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-159777","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":499118,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117018.htm","linkFileType":{"id":5,"text":"html"}},{"id":429520,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20243015/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2024-3015"},{"id":429506,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2024/3015/fs20243015.xml"},{"id":429498,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/fs/2024/3015/version_Hist.txt","size":"4.00 KB","linkFileType":{"id":2,"text":"txt"},"description":"FS 2024-3015 version history"},{"id":428754,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1O4VPJS","text":"USGS data release","linkHelpText":"National and Global Petroleum Assessment—North Chukchi Basin Province: Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables"},{"id":428753,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2024/3015/fs20243015.pdf","text":"Report","size":"1.19 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2024-3015"},{"id":429505,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2024/3015/images"},{"id":428752,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2024/3015/coverthb3.jpg"}],"country":"Russia, United States","otherGeospatial":"Chukchi Sea, East Siberian Sea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -179.9,\n 75\n ],\n [\n -179.9,\n 65\n ],\n [\n -140,\n 65\n ],\n [\n -140,\n 75\n ],\n [\n -179.9,\n 75\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 160,\n 65\n ],\n [\n 179.9,\n 65\n ],\n [\n 179.9,\n 75\n ],\n [\n 160,\n 75\n ],\n [\n 160,\n 65\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Version 1.0: May 2024; Version 1.1: June 2024; Version 1.2: July 2024","contact":"Director, Geology, Energy & Minerals Science Center
U.S. Geological Survey
12201 Sunrise Valley Drive
954 National Center
Reston, VA 20192
Agricultural and urban management practices (MPs) are primarily designed and implemented to reduce nutrient and sediment concentrations in streams. However, there is growing interest in determining if MPs produce any unintended positive effects, or co-benefits, to instream biological and habitat conditions. Identifying co-benefits is challenging though because of confounding variables (i.e., those that affect both where MPs are applied and stream biota), which can be accounted for in novel causal inference approaches. Here, we used two causal inference approaches, propensity score matching (PSM) and Bayesian network learning (BNL), to identify potential MP co-benefits in the Chesapeake Bay watershed portion of Maryland, USA. Specifically, we examined how MPs may modify instream conditions that impact fish and macroinvertebrate indices of biotic integrity (IBI) and functional and taxonomic endpoints. We found evidence of positive unintended effects of MPs for both benthic macroinvertebrates and fish indicated by higher IBI scores and specific endpoints like the number of scraper macroinvertebrate taxa and lithophilic spawning fish taxa in a subset of regions. However, our results also suggest MPs have negative unintended effects, especially on sensitive benthic macroinvertebrate taxa and key instream habitat and water quality metrics like specific conductivity. Overall, our results suggest MPs offer co-benefits in some regions and catchments with largely degraded conditions but can have negative unintended effects in some regions, especially in catchments with good biological conditions. We suggest the number and types of MPs drove these mixed results and highlight carefully designed MP implementation that incorporates instream biological data at the catchment scale could facilitate co-benefits to instream biological conditions. Our study underscores the need for more research on identifying effects of individual MP types on instream biological and habitat conditions.
The threat posed by emerging infectious diseases is a major concern for global public health, animal health and food security, and the role of birds in transmission is increasingly under scrutiny. Each year, millions of mass-reared game-farm birds are released into the wild, presenting a unique and a poorly understood risk to wild and susceptible bird populations, and to human health. In particular, the shedding of enteric pathogens through excrement into bodies of water at shared migratory stop-over sites, and breeding and wintering grounds, could facilitate multi-species long-distance pathogen dispersal and infection of high numbers of naive endemic birds annually. The Mallard (Anas platyrhynchos) is the most abundant of all duck species, migratory across much of its range, and an important game species for pen-rearing and release. Major recent population declines along the US Atlantic coast has been attributed to game-farm and wild mallard interbreeding and the introduction maladaptive traits into wild populations. However, pathogen transmission and zoonosis among game-farms Mallard may also impact these populations, as well as wildlife and human health. Here, we screened 16 game-farm Mallard from Wisconsin, United States, for enteric viral pathogens using metatranscriptomic data. Four families of viral pathogens were identified – Picobirnaviridae (Genogroup I), Caliciviridae (Duck Nacovirus), Picornaviridae (Duck Aalivirus) and Sedoreoviridae (Duck Rotavirus G). To our knowledge, this is the first report of Aalivirus in the Americas, and the first report of Calicivirus outside domestic chicken and turkey flocks in the United States. Our findings highlight the risk of viral pathogen spillover from peri-domestically reared game birds to naive wild bird populations.
The Water-budget Accounting for Tropical Regions Model (WATRMod) code was used for Kauaʻi, Oʻahu, Molokaʻi, Maui, and the Island of Hawaiʻi to estimate the spatial distribution of groundwater recharge, soil moisture, evapotranspiration, and climatic water deficit for a set of water-budget scenarios. The scenarios included historical and future drought conditions, and a land-cover condition where shrubland and forest within the cloud zone were converted to grassland. For the historical drought condition, island-wide mean annual recharge estimates range from a decrease of 30 percent (239 million gallons per day [Mgal/d]) for Kauaʻi to a decrease of 39 percent (2,706 Mgal/d) for the Island of Hawaiʻi, relative to the reference condition consisting of 1978–2007 rainfall and 2020 land cover. For the future drought condition, estimates of island-wide mean annual recharge range from a decrease of 40 percent (477 Mgal/d) on Maui to a decrease of 51 percent (116 Mgal/day) on Molokaʻi. Complete conversion of all shrubland and forest within the cloud zone to grassland for each drought condition produces estimated land-cover-related decreases in island-wide mean annual recharge (in addition to the drought-related decreases) of 11–12 Mgal/d on Oʻahu, 119–135 Mgal/day on Maui, and 689–849 Mgal/d on the Island of Hawaiʻi. The spatial distributions of increases in conditions indicative of moisture stress and potential wildfire hazard were quantified using the relative frequency of soil moisture less than a selected threshold value (monthly mean soil moisture less than 0.074, expressed as a fraction of available water capacity), evapotranspiration less than a selected threshold value (monthly evapotranspiration less than 0.96 inches), and climatic water deficit greater than a selected threshold value (monthly climatic water deficit greater than 0.77, expressed as fraction of potential evapotranspiration). For the historical drought condition, the greatest increases in the relative frequency for the moisture-stress indicators occur across parts of east and southwest Kauaʻi; central, east, and west Oʻahu; central Molokaʻi; central Maui and low- to mid-altitude parts of West Maui volcano; and the northwestern and southern parts of the Island of Hawaiʻi. For the future drought condition, the greatest increases in the relative frequency of the moisture-stress indicators occur across parts of west Kauaʻi; central and west Oʻahu and Molokaʻi; a band of mid-altitude area on the southern slope of West Maui volcano and across the southwestern slope of Haleakalā; and mid-altitude areas of the northwestern and southern parts of the Island of Hawaiʻi. Complete conversion of all shrubland and forest within the cloud zone to grassland for each drought condition results in land-cover-related increases in the relative frequency of moisture-stress indicators around Kaʻala in the Waiʻanae Range and the southeastern part of the Koʻolau Range on Oʻahu, the southern part of West Maui volcano and the southwestern slope of Haleakalā on Maui, and the upland regions of the western and southern parts of the Island of Hawaiʻi.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235141","collaboration":"Prepared in cooperation with the Pacific Islands Climate Adaptation Science Center","usgsCitation":"Mair, A., Oki, D.S., Kāne, H.L., Johnson, A.G., and Rotzoll, K., 2024, Effects of drought and cloud-water interception on groundwater recharge and wildfire hazard for recent and future climate conditions, Kauaʻi, Oʻahu, Molokaʻi, Maui, and the Island of Hawaiʻi: U.S. Geological Survey Scientific Investigations Report 2023–5141, 98 p., https://doi.org/10.3133/sir20235141","productDescription":"Report: viii, 98 p.; 2 Data Releases","numberOfPages":"98","onlineOnly":"Y","ipdsId":"IP-139810","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":429177,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20235130","text":"Scientific Investigations Report 2023-5130","linkHelpText":"- Estimated Groundwater Recharge for Mid-Century and End-of-Century Climate Projections, Kaua‘i, O‘ahu, Moloka‘i, Lāna‘i, Maui, and the Island of Hawai‘i"},{"id":429174,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HGHWS4","text":"USGS Data Release","description":"Mair, A., 2024, Frequency characteristics of soil moisture, evapotranspiration, and climatic water deficit for Kauaʻi, Oʻahu, Molokaʻi, Maui, and the Island of Hawaiʻi, for a set of rainfall and land-cover conditions: U.S. Geological Survey data release, https://doi.org/10.5066/P9HGHWS4.","linkHelpText":"Frequency characteristics of soil moisture, evapotranspiration, and climatic water deficit for Kauaʻi, Oʻahu, Molokaʻi, Maui, and the Island of Hawaiʻi, for a set of rainfall and land-cover conditions"},{"id":429173,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9DDP1C6","text":"USGS Data Release","description":"Mair, A., 2024, Mean annual groundwater recharge rates for Kauaʻi, Oʻahu, Molokaʻi, Maui, and the Island of Hawaiʻi, for a set of drought and land-cover conditions: U.S. Geological Survey data release, https://doi.org/10.5066/P9DDP1C6.","linkHelpText":"Mean annual groundwater recharge rates for Kauaʻi, Oʻahu, Molokaʻi, Maui, and the Island of Hawaiʻi, for a set of drought and land-cover conditions"},{"id":429175,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5141/sir20235141.pdf","text":"Report","size":"12 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":499403,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117007.htm","text":"Island of Hawaii","linkFileType":{"id":5,"text":"html"}},{"id":499402,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117006.htm","text":"Islands of Kauai, Oahu, Molokai, and 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\"}}]}","contact":"Director,
Pacific Islands Water Science Center
U.S. Geological Survey
Inouye Regional Center
1845 Wasp Blvd., B176
Honolulu, HI 96818
Delineating wildlife population boundaries is important for effective population monitoring and management. The bobcat (Lynx rufus) is a highly mobile generalist carnivore that is ecologically and economically important. We sampled 1225 bobcats harvested in South Dakota, USA (2014–2019), of which 878 were retained to assess genetic diversity and infer population genetic structure using 17 microsatellite loci. We assigned individuals to genetic clusters (K) using spatial and nonspatial Bayesian clustering algorithms and quantified differentiation (FST and GST″) among clusters. We found support for population genetic structure at K = 2 and K = 4, with pairwise FST and GST″ values indicating weak to moderate differentiation, respectively, among clusters. For K = 2, eastern and western clusters aligned closely with historical bobcat management units and were consistent with a longitudinal suture zone for bobcats previously identified in the Great Plains. We did not observe patterns of population genetic structure aligning with major rivers or highways. Genetic divergence observed at K = 4 aligned roughly with ecoregion breaks and may be associated with environmental gradients, but additional sampling with more precise locational data may be necessary to validate these patterns. Our findings reveal that cryptic population structure may occur in highly mobile and broadly distributed generalist carnivores, highlighting the importance of considering population structure when establishing population monitoring programs or harvest regulations. Our study further demonstrates that for elusive furbearers, harvest can provide an efficient, broad-scale sampling approach for genetic population assessments.
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