The Southeast Alaska (SE) stock of northern sea otters (Enhydra lutris kenyoni) ranges from Cape Yakataga on the north to the Dixon Entrance on the south. During the maritime fur trade, sea otters were commercially harvested to near extinction in SE for their pelts and were presumed unlikely to naturally repopulate the region.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20243007","collaboration":"Prepared in cooperation with the National Park Service and U.S. Fish and Wildlife Service","usgsCitation":"Eisaguirre, J.M., Matsuoka, T.D., Esslinger, G.G., Weitzman, B.P., Womble, J.N., and Schuette, P.A., 2024, Understanding sea otter population change in southeast Alaska: U.S. Geological Survey Fact Sheet 2024-3007, 4 p., https://doi.org/10.3133/fs20243007.","productDescription":"4 p.","ipdsId":"IP-158806","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":430484,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2024/3007/fs20243007.pdf","text":"Report","size":"3.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2024-3007"},{"id":430483,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2024/3007/fs20243007.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -145.9241672313032,\n 60.97708790226284\n ],\n [\n -145.9241672313032,\n 54.16723740167396\n ],\n [\n -129.22494848130341,\n 54.16723740167396\n ],\n [\n -129.22494848130341,\n 60.97708790226284\n ],\n [\n -145.9241672313032,\n 60.97708790226284\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Alaska Science Center
4210 University Drive
Anchorage, Alaska 99508
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.
Overexposure to respirable coal mine dust can cause severe lung disease including progressive massive fibrosis (PMF). Field emission scanning electron microscopy with energy dispersive x-ray spectroscopy (FESEM-EDS) has been used for in situ lung dust particle analysis for evaluation of disease etiology. Automating such work can reduce time, costs, and user bias.
To develop and test an automated FESEM-EDS method for in situ analysis of inorganic particles in coal miner lung tissue.
We programmed an automated FESEM-EDS procedure to collect particle size and elemental data, using lung tissue from 10 underground coal miners with PMF and 4 control cases. A statistical clustering approach was used to establish classification criteria based on particle chemistry. Data were correlated to PMF/non-PMF areas of the tissue, using corresponding brightfield microscopy images. Results for each miner case were compared with a separate corresponding analysis of particles recovered following tissue digestion.
In situ analysis of miner tissues showed higher particle number densities than controls and densities were generally higher in PMF than non-PMF areas. Particle counts were typically dominated by aluminum silicates with varying percentages of silica. Compared to digestion results for the miner tissues, in situ results indicated lower density of particles (number per tissue volume), larger size, and a lower ratio of silica to total silicates—probably due to frequent particle clustering in situ.
Automated FESEM-EDS analysis of lung dust is feasible in situ and could be applied to a larger set of mineral dust–exposed lung tissues to investigate specific histologic features of PMF and other dust-related occupational diseases.
","language":"English","publisher":"Allen Press","doi":"10.5858/arpa.2024-0002-OA","usgsCitation":"Sarver, E.A., Keles, C., Lowers, H.A., Zell-Baran, L., Go, L.H., Hua, J., Cool, C., Rose, C., Green, F., Almberg, K.S., and Cohen, R.A., 2024, In situ lung dust analysis by automated Field Emission Scanning Electron Microscopy with Energy Dispersive X-ray Spectroscopy: A method for assessing inorganic particles in tissue from coal miners: Archives of Pathology, v. 148, no. 7, p. e154-e169, https://doi.org/10.5858/arpa.2024-0002-OA.","productDescription":"16 p.","startPage":"e154","endPage":"e169","ipdsId":"IP-160543","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":439351,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5858/arpa.2024-0002-oa","text":"Publisher Index Page"},{"id":430713,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"148","issue":"7","noUsgsAuthors":false,"publicationDate":"2024-06-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Sarver, Emily A.","contributorId":265758,"corporation":false,"usgs":false,"family":"Sarver","given":"Emily","email":"","middleInitial":"A.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":905409,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keles, C.","contributorId":339857,"corporation":false,"usgs":false,"family":"Keles","given":"C.","email":"","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":905410,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lowers, Heather A. 0000-0001-5360-9264 hlowers@usgs.gov","orcid":"https://orcid.org/0000-0001-5360-9264","contributorId":191307,"corporation":false,"usgs":true,"family":"Lowers","given":"Heather","email":"hlowers@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":905418,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zell-Baran, L.","contributorId":339860,"corporation":false,"usgs":false,"family":"Zell-Baran","given":"L.","affiliations":[{"id":36955,"text":"National Jewish Health","active":true,"usgs":false}],"preferred":false,"id":905413,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Go, Leonard H. T.","contributorId":306069,"corporation":false,"usgs":false,"family":"Go","given":"Leonard","email":"","middleInitial":"H. T.","affiliations":[],"preferred":false,"id":905485,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hua, J.","contributorId":339859,"corporation":false,"usgs":false,"family":"Hua","given":"J.","email":"","affiliations":[{"id":36955,"text":"National Jewish Health","active":true,"usgs":false}],"preferred":false,"id":905412,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cool, C.","contributorId":339858,"corporation":false,"usgs":false,"family":"Cool","given":"C.","affiliations":[{"id":36955,"text":"National Jewish Health","active":true,"usgs":false}],"preferred":false,"id":905411,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rose, Cecile","contributorId":204557,"corporation":false,"usgs":false,"family":"Rose","given":"Cecile","email":"","affiliations":[{"id":36955,"text":"National Jewish Health","active":true,"usgs":false}],"preferred":false,"id":905414,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Green, F.H.","contributorId":265748,"corporation":false,"usgs":false,"family":"Green","given":"F.H.","email":"","affiliations":[{"id":16660,"text":"University of Calgary","active":true,"usgs":false}],"preferred":false,"id":905419,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Almberg, K. S.","contributorId":265745,"corporation":false,"usgs":false,"family":"Almberg","given":"K.","email":"","middleInitial":"S.","affiliations":[{"id":36403,"text":"University of Illinois","active":true,"usgs":false}],"preferred":false,"id":905417,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Cohen, R. A.","contributorId":290338,"corporation":false,"usgs":false,"family":"Cohen","given":"R.","email":"","middleInitial":"A.","affiliations":[{"id":18133,"text":"University of Illinois Chicago","active":true,"usgs":false}],"preferred":false,"id":905416,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70255668,"text":"70255668 - 2024 - Application of normalized radar backscatter and hyperspectral data to augment rangeland vegetation fractional classification","interactions":[],"lastModifiedDate":"2024-06-28T11:44:29.88845","indexId":"70255668","displayToPublicDate":"2024-06-25T06:36:12","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Application of normalized radar backscatter and hyperspectral data to augment rangeland vegetation fractional classification","docAbstract":"The East Anatolian Fault Zone (EAFZ) is a plate-bounding strike-slip fault capable of hosting large earthquakes, as demonstrated by the extremely damaging February 2023 Mw 7.8 and Mw 7.7 mainshocks of the Kahramanmaraş earthquake sequence. Deformation related to this boundary, part of the Anatolia-Arabia-Africa (A3) Triple Junction, is diffuse, as was shown by part of this earthquake sequence occurring on a northern splay of the EAFZ (the Sürgü-Çardak Fault Zone; SCFZ). Controls on surface deformation are commonly linked to stress in the brittle upper crust, but the complex deformation and seismicity patterns in this region may also reflect deeper processes, such as variations in the location and extent of the strong Arabian Plate lithospheric mantle. Seismic tomography indicates that the Arabian Plate underthrusts Anatolia as far north as the SCFZ and extends as far west as the central Adana Basin, coincident with a zone of relatively deep (>30 km) strike-slip seismogenesis that has produced Mw >6 earthquakes. By investigating the relationship between deformation since the inception of the EAFZ (ca. 5 Ma), seismic structure, and seismicity, we infer that the SCFZ will become the future SE boundary of the Anatolian Plate as part of the evolving A3 Triple Junction.
Coyotes (Canis latrans) are believed to contribute to declining kit fox (Vulpes macrotis) numbers in the Great Basin desert through intraguild predation. Intraguild prey have been shown to exhibit adaptive compromise, whereby an animal increases selection for risky, but food-rich areas during times of food stress (i.e. winter). We evaluated the habitat selection of kit foxes in the Great Basin desert to elucidate if they demonstrated adaptive compromise as a method of coexisting with coyotes. We created 2nd order resource selection functions to analyze kit fox habitat selection associated with coyote relative probability of use (RPU), prey abundance, and type of soil substrate. In the summer, we found that kit fox selection for areas of relatively more abundant prey was not significant, and there was a small positive selection for coyote RPU. In the winter, we found a positive relationship between kit fox selection and prey abundance as well as a stronger selection for coyote RPU. These findings do follow the pattern of adaptive compromise. We also found kit foxes selected for silty and sandy soils, which are conducive to den construction, as they use dens seasonally for breeding but also year-round for multiple uses, including refugia from predators and extreme heat. Soil substrate appeared to be an important factor impacting kit fox habitat selection.
","language":"English","publisher":"Nature","doi":"10.1038/s41598-024-61692-1","usgsCitation":"Pershyn, N., Gese, E.M., Stuber, E.F., and Kluever, B.M., 2024, Kit foxes demonstrate adaptive compromise characteristics under intraguild predation pressure by coyotes in the Great Basin desert: Scientific Reports, v. 14, 14446, 12 p., https://doi.org/10.1038/s41598-024-61692-1.","productDescription":"14446, 12 p.","ipdsId":"IP-164159","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":488267,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-024-61692-1","text":"Publisher Index Page"},{"id":485842,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -113.25,\n 40.5\n ],\n [\n -113.25,\n 39.75\n ],\n [\n -112.5,\n 39.75\n ],\n [\n -112.5,\n 40.5\n ],\n [\n -113.25,\n 40.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","noUsgsAuthors":false,"publicationDate":"2024-06-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Pershyn, Nadine A.","contributorId":354962,"corporation":false,"usgs":false,"family":"Pershyn","given":"Nadine A.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":936736,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gese, Eric M","contributorId":222151,"corporation":false,"usgs":false,"family":"Gese","given":"Eric","email":"","middleInitial":"M","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":936737,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stuber, Erica Francis 0000-0002-2687-6874","orcid":"https://orcid.org/0000-0002-2687-6874","contributorId":298084,"corporation":false,"usgs":true,"family":"Stuber","given":"Erica","email":"","middleInitial":"Francis","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":936738,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kluever, Bryan M.","contributorId":257061,"corporation":false,"usgs":false,"family":"Kluever","given":"Bryan","email":"","middleInitial":"M.","affiliations":[{"id":51974,"text":"US Department of Agriculture, National Wildlife Research Center, Gainesville, FL","active":true,"usgs":false}],"preferred":false,"id":936739,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70255940,"text":"70255940 - 2024 - Mammalian lures monitored with time-lapse cameras increase detection of pythons and other snakes","interactions":[],"lastModifiedDate":"2024-07-11T14:35:28.931946","indexId":"70255940","displayToPublicDate":"2024-06-24T09:31:34","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3840,"text":"PeerJ","active":true,"publicationSubtype":{"id":10}},"title":"Mammalian lures monitored with time-lapse cameras increase detection of pythons and other snakes","docAbstract":"Enhancing detection of cryptic snakes is critical for the development of conservation and management strategies; yet, finding methods that provide adequate detection remains challenging. Issues with detecting snakes can be particularly problematic for some species, like the invasive Burmese python (Python bivittatus) in the Florida Everglades.
Using multiple survey methods, we predicted that our ability to detect pythons, larger snakes and all other snakes would be enhanced with the use of live mammalian lures (domesticated rabbits; Oryctolagus cuniculus). Specifically, we used visual surveys, python detection dogs, and time-lapse game cameras to determine if domesticated rabbits were an effective lure.
Time-lapse game cameras detected almost 40 times more snakes (n = 375, treatment = 245, control = 130) than visual surveys (n = 10). We recorded 21 independent detections of pythons at treatment pens (with lures) and one detection at a control pen (without lures). In addition, we found larger snakes, and all other snakes were 165% and 74% more likely to be detected at treatment pens compared to control pens, respectively. Time-lapse cameras detected almost 40 times more snakes than visual surveys; we did not detect any pythons with python detection dogs.
Our study presents compelling evidence that the detection of snakes is improved by coupling live mammalian lures with time-lapse game cameras. Although the identification of smaller snake species was limited, this was due to pixel resolution, which could be improved by changing the camera focal length. For larger snakes with individually distinctive patterns, this method could potentially be used to identify unique individuals and thus allow researchers to estimate population dynamics.
","language":"English","publisher":"PeerJ, Inc.","doi":"10.7717/peerj.17577","usgsCitation":"McCampbell, M.E., Spencer, M.M., Hart, K., Link, G., Watson, A.J., and McCleery, R.A., 2024, Mammalian lures monitored with time-lapse cameras increase detection of pythons and other snakes: PeerJ, v. 12, e17577, 21 p., https://doi.org/10.7717/peerj.17577.","productDescription":"e17577, 21 p.","ipdsId":"IP-154422","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":439354,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7717/peerj.17577","text":"Publisher Index Page"},{"id":430963,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -80.06716804534993,\n 26.337274298622603\n ],\n [\n -81.34055052477085,\n 26.337274298622603\n ],\n [\n -81.34055052477085,\n 25.103410837459833\n ],\n [\n -80.06716804534993,\n 25.103410837459833\n ],\n [\n -80.06716804534993,\n 26.337274298622603\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"12","noUsgsAuthors":false,"publicationDate":"2024-06-24","publicationStatus":"PW","contributors":{"authors":[{"text":"McCampbell, Marina E.","contributorId":331286,"corporation":false,"usgs":false,"family":"McCampbell","given":"Marina","email":"","middleInitial":"E.","affiliations":[{"id":40348,"text":"Department of Wildlife Ecology and Conservation, University of Florida","active":true,"usgs":false}],"preferred":false,"id":906086,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spencer, McKayla M.","contributorId":301071,"corporation":false,"usgs":false,"family":"Spencer","given":"McKayla","email":"","middleInitial":"M.","affiliations":[{"id":35758,"text":"FWC","active":true,"usgs":false}],"preferred":false,"id":906087,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hart, Kristen 0000-0002-5257-7974","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":222407,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":906088,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Link, Gabrielle","contributorId":340076,"corporation":false,"usgs":false,"family":"Link","given":"Gabrielle","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":906089,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Watson, Andrew J.","contributorId":176461,"corporation":false,"usgs":false,"family":"Watson","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":906090,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McCleery, Robert A.","contributorId":139849,"corporation":false,"usgs":false,"family":"McCleery","given":"Robert","email":"","middleInitial":"A.","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":906091,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70262884,"text":"70262884 - 2024 - Estimating biogeochemical rates using a computationally efficient Lagrangian approach","interactions":[],"lastModifiedDate":"2025-01-27T15:38:46.616909","indexId":"70262884","displayToPublicDate":"2024-06-24T08:29:40","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Estimating biogeochemical rates using a computationally efficient Lagrangian approach","docAbstract":"Nutrient concentrations in many estuaries have increased over the past century due to increases in wastewater discharge and increased agricultural intensity, contributing to multiple environmental problems. Numerous biogeochemical and physical processes in estuaries influence nutrient concentrations during transport, resulting in complex spatial and temporal variability and challenges identifying predominant processes and their rates. Mechanistic models which require these rates to quantify biogeochemical processes become complex and difficult to calibrate as the number of processes and parameters grows, owing to the high dimensionality of the parameter space and the computational cost of simultaneously modeling the transport and transformations of constituents. We developed a modeling approach that decouples transport from transformations, enabling fast, data-driven exploration of the parameter space. The approach extracted information including water age, cumulative exposure to specific habitats, and mean water depth exposure from a hydrodynamic model. Using this information, a biogeochemical model was implemented to predict ammonium and nitrate concentrations in a Lagrangian frame. The model performed each simulation in milliseconds on a laptop computer, allowing the fitting of rate parameters for key transformations by optimization. The optimization used fixed station nitrate observations and the model was then validated against high-resolution mapping observations of ammonium and nitrate. The results suggest that the observed spatial and temporal variation can be largely represented with five transformation processes and their associated rates. Dissolved inorganic nitrogen (DIN) losses occurred only in shallow vegetated areas in the model, highlighting that biogeochemical processes in these areas should be included in DIN models.
With growing global capability for satellite measurement of river discharge (flow) comes a need to understand and reduce error in satellite-based discharge measurements. Satellite-based discharge estimates are based on measurements of water surface width, elevation, slope, and potentially velocity. Site selection is important for reducing error and uncertainty in both conventional and satellite-based discharge measurements because geomorphic river characteristics have strong control over the relationships between discharge and width, water surface elevation (or depth), slope, and velocity. A large ground-truth data set of 8,445 conventional hydraulic measurements, collected by acoustic Doppler current profilers at 503 stations in the United States, was developed and quality assured to examine correlation between river discharge and water surface width, depth, velocity, and cross-sectional area. A separate database of river surface slope and discharge time-series was developed from paired continuous monitoring stations to examine slope-discharge correlations. Results show that discharge correlates most strongly with velocity, cross-sectional area, depth, width, and slope, in that order. Uncertainty of satellite discharge estimates is affected by observed hydraulic variable and reach-specific variability in observed variable(s) characteristics including range of variability, georegistration accuracy, and stability over time of relationships between discharge and observed hydraulic variable.
Scientists and resource managers increasingly use Markdown-based tools to create reproducible reports and manuscripts. These workflows allow people to use standardized methods that are more reproducible, efficient, and transparent than other standard office tools. We present a Quarto template and demonstrate how this template may be used for a journal, the Journal of Fish and Wildlife Management, in our article. This template may also be readily adapted to other journals that use Microsoft Word-based workflows and for other product types such as annual reports. We also provide a high-level overview of Quarto and other Markdown-based workflows as part of the document. Lastly, we provide examples of some features of the Quarto publishing system that may be helpful for authors when customizing Quarto templates for specific journal formatting requirements and other product types.
The vertical accuracy of elevation data in coastal environments is critical because small variations in elevation can affect an area’s exposure to waves, tides, and storm-related flooding. Elevation data contractors typically quantify the vertical accuracy of lidar-derived digital elevation models (DEMs) on a per-project basis to gauge whether the datasets meet quality and accuracy standards. Here, we collated over 5200 contractor elevation checkpoints along the Atlantic and Gulf of Mexico coasts of the United States that were collected for project-level analyses produced for assessing DEMs acquired for the U.S. Geological Survey’s Three-Dimensional Elevation Program. We used land cover data to quantify non-vegetated vertical accuracy and vegetated vertical accuracy statistics (overall and by point spacing bins) and assessed elevation error by land cover class. We found the non-vegetated vertical accuracy had an overall root mean square error of 6.9 cm and vegetated areas had a 95th percentile vertical error of 22.3 cm. Point spacing was generally positively correlated to elevation accuracy, but sample size limited the ability to interpret results from accuracy by land cover, particularly in wetlands. Based on the specific questions a researcher may be asking, use of literature or fieldwork could assist with enhancing error statistics in underrepresented classes.
Spatial machine learning models can be developed from observations with substantial unexplainable variability, sometimes called ‘noise’. Traditional point-scale metrics (e.g., R2) alone can be misleading when evaluating these models. We present a multi-scale performance evaluation (MPE) using two additional scales (distributional and geostatistical). We apply the MPE framework to predictions of depth to bedrock (DTB) in the Delaware River Basin. Geostatistical analysis shows that approximately one third of the DTB variance is at spatial scale smaller than 2 km. Hence, we interpret our point-scale R2 of 0.3 (testing data) to be sufficient for regional-scale modelling. Bias-correction methods improve performance at two of the three MPE scales: point-scale change is negligible, while distributional and geostatistical performance improves. In contrast, bias correction applied to a global DTB model does not improve MPE performance. This work encourages scale-appropriate performance evaluations to enable effective model intercomparison.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2024.106124","usgsCitation":"Goodling, P.J., Belitz, K., Stackelberg, P.E., and Fleming, B.J., 2024, A spatial machine learning model developed from noisy data requires multiscale performance evaluation: Predicting depth to bedrock in the Delaware River Basin, USA: Environmental Modelling & Software, v. 179, 106124, 12 p., https://doi.org/10.1016/j.envsoft.2024.106124.","productDescription":"106124, 12 p.","ipdsId":"IP-160581","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":439361,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envsoft.2024.106124","text":"Publisher Index Page"},{"id":430446,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, New Jersey, New York, Pennsylvania","otherGeospatial":"Delaware River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -74.88099946089724,\n 38.58741180591247\n ],\n [\n -74.71321333503417,\n 39.379784628066616\n ],\n [\n -74.91854009408658,\n 39.623906471535875\n ],\n [\n -74.56682974019151,\n 39.83490997578861\n ],\n [\n -74.83087158557463,\n 40.43445755432647\n ],\n [\n -74.69462804413362,\n 42.31099383658801\n ],\n [\n -75.89851464683143,\n 42.243461978517985\n ],\n [\n -76.67474108243883,\n 40.45538711590305\n ],\n [\n -76.4341425039691,\n 39.732367924983954\n ],\n [\n -75.81256791410406,\n 39.70992285882126\n ],\n [\n -75.68892404289328,\n 38.72600697054469\n ],\n [\n -74.88099946089724,\n 38.58741180591247\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"179","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Goodling, Phillip J. 0000-0001-5715-8579","orcid":"https://orcid.org/0000-0001-5715-8579","contributorId":239738,"corporation":false,"usgs":true,"family":"Goodling","given":"Phillip","email":"","middleInitial":"J.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":904792,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belitz, Kenneth 0000-0003-4481-2345","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":201889,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":904793,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stackelberg, Paul E. 0000-0002-1818-355X","orcid":"https://orcid.org/0000-0002-1818-355X","contributorId":204864,"corporation":false,"usgs":true,"family":"Stackelberg","given":"Paul","middleInitial":"E.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":904794,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fleming, Brandon J. 0000-0001-9649-7485 bjflemin@usgs.gov","orcid":"https://orcid.org/0000-0001-9649-7485","contributorId":4115,"corporation":false,"usgs":true,"family":"Fleming","given":"Brandon","email":"bjflemin@usgs.gov","middleInitial":"J.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":904795,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70255961,"text":"70255961 - 2024 - Back from the brink: Estimating daily and annual abundance of natural-origin salmon smolts from 30-years of mixed-origin capture-recapture data","interactions":[],"lastModifiedDate":"2024-07-11T14:25:45.706092","indexId":"70255961","displayToPublicDate":"2024-06-22T09:17:06","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1661,"text":"Fisheries Research","active":true,"publicationSubtype":{"id":10}},"title":"Back from the brink: Estimating daily and annual abundance of natural-origin salmon smolts from 30-years of mixed-origin capture-recapture data","docAbstract":"Evaluating the status and trends of natural-origin anadromous fish populations over time requires robust estimates of out-migrating juvenile abundance. Information on abundance is typically acquired by capturing actively migrating fish as they pass stationary monitoring platforms. Challenges to estimation include protracted migration timing, temporally varying capture probabilities and the contemporaneous presence of unmarked hatchery-origin fish. The confounding effects of unmarked hatchery fish are especially pernicious in systems hosting multiple hatchery programs with variable mark-rates among releases. Here, we address this problem for a regionally and culturally important population of Chinook salmon (Oncorhynchus tshawytscha) supported by a hatchery-supplementation program implemented in response to the listing of this population under the U.S. Endangered Species Act. We developed a model to estimate daily and annual abundance of naturally produced age-0 fall Chinook salmon passing Lower Granite Dam (Snake River, USA) for each of the last 30 years. We accounted for variable hatchery marking rates by integrating two related data sources: 1) release-recapture data of fish with individually identifiable tags and 2) counts of marked and unmarked sample of fish captured each day. We fit joint parameters for daily fish arrival and capture probabilities to these data to estimate the daily abundance of hatchery- and natural-origin fish. Our results show that from 1992 to 2021, the annual abundance of juvenile natural-origin Snake River fall Chinook salmon increased by two orders of magnitude. These results are the first comprehensive evaluation of multi-decadal trends in abundance and run-timing for this population. Our approach can be adapted to other runs and locations within the Columbia River basin or similar systems where out-migrating fish are monitored at fixed locations.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.fishres.2024.107098","usgsCitation":"Hance, D., Plumb, J., Perry, R., and Tiffan, K., 2024, Back from the brink: Estimating daily and annual abundance of natural-origin salmon smolts from 30-years of mixed-origin capture-recapture data: Fisheries Research, v. 278, 107098, 18 p., https://doi.org/10.1016/j.fishres.2024.107098.","productDescription":"107098, 18 p.","ipdsId":"IP-160680","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":434942,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1EKDXW3","text":"USGS data release","linkHelpText":"Daily and annual abundances of natural- and hatchery-origin age-0 fall Chinook salmon (Oncorhynchus tshawytscha) passing Lower Granite Dam, Washington 1992 - 2021"},{"id":430961,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Oregon, Washington","otherGeospatial":"Snake River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -115.97264940326166,\n 47.24310996536303\n ],\n [\n -118.075231715107,\n 47.27051186495126\n ],\n [\n -118.03216123599826,\n 44.88742975557119\n ],\n [\n -115.98127625140233,\n 44.90409917890665\n ],\n [\n -115.97264940326166,\n 47.24310996536303\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"278","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hance, Dalton 0000-0002-4475-706X","orcid":"https://orcid.org/0000-0002-4475-706X","contributorId":220179,"corporation":false,"usgs":true,"family":"Hance","given":"Dalton","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":906151,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plumb, John 0000-0003-4255-1612","orcid":"https://orcid.org/0000-0003-4255-1612","contributorId":220178,"corporation":false,"usgs":true,"family":"Plumb","given":"John","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":906152,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perry, Russell 0000-0003-4110-8619","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":220189,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":906153,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tiffan, Kenneth 0000-0002-5831-2846","orcid":"https://orcid.org/0000-0002-5831-2846","contributorId":217812,"corporation":false,"usgs":true,"family":"Tiffan","given":"Kenneth","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":906154,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70256164,"text":"70256164 - 2024 - Modeling the mid-Piacenzian warm climate using the water isotope-enabled Community Earth System Model (iCESM1.2-ITPCAS)","interactions":[],"lastModifiedDate":"2025-01-17T15:55:36.342599","indexId":"70256164","displayToPublicDate":"2024-06-22T06:52:03","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1248,"text":"Climate Dynamics","active":true,"publicationSubtype":{"id":10}},"title":"Modeling the mid-Piacenzian warm climate using the water isotope-enabled Community Earth System Model (iCESM1.2-ITPCAS)","docAbstract":"The mid-Piacenzian Warm Period (MPWP, ~ 3.264–3.025 Ma) is the most recent example of a persistently warmer climate in equilibrium with atmospheric CO2 concentrations similar to today. Towards studying patterns and dynamics of a warming climate the MPWP is often compared to today. Following the Pliocene Model Intercomparison Project, Phase 2 (PlioMIP2) protocol we prepare a water isotope-enabled Community Earth System Model (iCESM1.2) simulation that is warmer and wetter than the PlioMIP2 multi-model ensemble (MME). While our simulation resembles PlioMIP2 MME in many aspects we find added insights. (1) Considerable warmth at high latitudes exceeds previous simulations. Polar amplification (PA) is comparable to proxies, enabled by iCESM1.2’s high climate sensitivity and a distinct method of ocean initialization. (2) Major driver of warmth is the downward component of clear-sky surface long-wave radiation (ΔTrlds_clearsky). (3) In iCESM1.2 modulated dominance of dynamic (δDY) processes causes different low-latitude (~ 30 S°–10°N) precipitation response than the PlioMIP2 MME, where thermodynamic processes (δTH) dominate. (4) Modulated local condensation leads to lower δ18Op across tropical Indian Ocean and surrounding Asian-African-Australian monsoon regions. (5) We find contrasting changes in tropical atmospheric circulations (Hadley and Walker cells). Anomalous regional meridional (zonal) circulation, forced by changes in tropical-subtropical (tropical) diabatic processes, presents a more comprehensive perspective than explaining weakened and expanded Hadley circulation (strengthened and westward-shifted Walker circulation) via static stability. (6) Enhanced Atlantic meridional overturning circulation owes to a closed Bering Strait.
","language":"English","publisher":"Springer","doi":"10.1007/s00382-024-07304-0","usgsCitation":"Sun, Y., Su, B., Dowsett, H.J., Wu, H., Hu, J., Stepanek, C., Xiong, Z., Yuan, X., and Ramstein, G., 2024, Modeling the mid-Piacenzian warm climate using the water isotope-enabled Community Earth System Model (iCESM1.2-ITPCAS): Climate Dynamics, v. 62, p. 7741-7761, https://doi.org/10.1007/s00382-024-07304-0.","productDescription":"21 p.","startPage":"7741","endPage":"7761","ipdsId":"IP-145565","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":439362,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00382-024-07304-0","text":"Publisher Index Page"},{"id":431436,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","noUsgsAuthors":false,"publicationDate":"2024-06-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Sun, Yong","contributorId":336900,"corporation":false,"usgs":false,"family":"Sun","given":"Yong","email":"","affiliations":[{"id":32415,"text":"Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":906957,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Su, Baohuang","contributorId":338746,"corporation":false,"usgs":false,"family":"Su","given":"Baohuang","email":"","affiliations":[],"preferred":false,"id":907051,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dowsett, Harry J. 0000-0003-1983-7524 hdowsett@usgs.gov","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":949,"corporation":false,"usgs":true,"family":"Dowsett","given":"Harry","email":"hdowsett@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":907052,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wu, Haibin","contributorId":338744,"corporation":false,"usgs":false,"family":"Wu","given":"Haibin","email":"","affiliations":[],"preferred":false,"id":907053,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hu, Jun","contributorId":340390,"corporation":false,"usgs":false,"family":"Hu","given":"Jun","email":"","affiliations":[],"preferred":false,"id":907054,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stepanek, Christian","contributorId":220691,"corporation":false,"usgs":false,"family":"Stepanek","given":"Christian","email":"","affiliations":[{"id":40240,"text":"Alfred Wegener Institute-Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany","active":true,"usgs":false}],"preferred":false,"id":907055,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Xiong, Zhongyu","contributorId":340391,"corporation":false,"usgs":false,"family":"Xiong","given":"Zhongyu","email":"","affiliations":[],"preferred":false,"id":907056,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Yuan, Xiayu","contributorId":338747,"corporation":false,"usgs":false,"family":"Yuan","given":"Xiayu","email":"","affiliations":[],"preferred":false,"id":907057,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ramstein, Gilles","contributorId":269585,"corporation":false,"usgs":false,"family":"Ramstein","given":"Gilles","email":"","affiliations":[{"id":55994,"text":"Laboratoire des Sciences du Climat et de l’Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France","active":true,"usgs":false}],"preferred":false,"id":907058,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70256471,"text":"70256471 - 2024 - Viability modeling for decision support with limited data: A lizard case study","interactions":[],"lastModifiedDate":"2024-12-10T15:01:27.166066","indexId":"70256471","displayToPublicDate":"2024-06-21T15:27:27","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17797,"text":"Journal of Fish and Wildlife Managment","active":true,"publicationSubtype":{"id":10}},"title":"Viability modeling for decision support with limited data: A lizard case study","docAbstract":"Plateau spot-tailed earless lizards, Holbrookia lacerata, are a species of ground lizard in central Texas that are under review for listing as endangered under the US Endangered Species Act, but heretofore no predictive models of population dynamics or viability have been developed. We used limited available data and published demographic rates in a PVA model to predict future status of these lizards under parametric and ecological uncertainty and temporal variability. Even in cases where data are sparse and life history information are limited, viability models can help clarify the consequences of management choices given the uncertainty. Our model predicted that on average populations will decline in in the future. Quasi-extinction probability was low 20 years into the future but up to 0.60. Extinction risk was highly dependent on the road mortality effect and the proportion of the population exposed to roadways, both of which are currently uncertain quantities. Despite these unknowns, our model enables managers to consider the future abundance and extinction risk for the species and make decisions about management to project the populations and also identifies key uncertainties for future research and monitoring.
","language":"English","publisher":"US Fish and Wildlife Service","doi":"10.3996/JFWM-23-024","usgsCitation":"Goode, A.B., Allan, N., and McGowan, C., 2024, Viability modeling for decision support with limited data: A lizard case study: Journal of Fish and Wildlife Managment, v. 15, no. 1, p. 70-86, https://doi.org/10.3996/JFWM-23-024.","productDescription":"17 p.","startPage":"70","endPage":"86","ipdsId":"IP-152348","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":487513,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/jfwm-23-024","text":"Publisher Index Page"},{"id":432057,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","volume":"15","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-11-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Goode, Ashley B.C.","contributorId":340756,"corporation":false,"usgs":false,"family":"Goode","given":"Ashley","email":"","middleInitial":"B.C.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":907519,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allan, Nathan","contributorId":340757,"corporation":false,"usgs":false,"family":"Allan","given":"Nathan","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":907520,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGowan, Conor P. 0000-0002-7330-9581 cmcgowan@usgs.gov","orcid":"https://orcid.org/0000-0002-7330-9581","contributorId":3381,"corporation":false,"usgs":true,"family":"McGowan","given":"Conor P.","email":"cmcgowan@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":907521,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70273359,"text":"70273359 - 2024 - Alaskan glacial dust is an important iron source to surface waters of the Gulf of Alaska","interactions":[],"lastModifiedDate":"2026-01-09T17:22:33.919542","indexId":"70273359","displayToPublicDate":"2024-06-21T11:17:31","publicationYear":"2024","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":"Alaskan glacial dust is an important iron source to surface waters of the Gulf of Alaska","docAbstract":"This work evaluates glacial dust as a source of sediment, and associated iron (Fe), to the Fe-limited Gulf of Alaska (GoA). A reanalysis of GoA sediment data, using rare earth elements and thorium as provenance tracers, suggests a flux to the ocean surface of Copper River (AK) glacial dust, and associated Fe, that is comparable to the flux of dust from Asia, at least 1,000 km from the narrow mountain valley glacial dust source area. This work suggests dust from Asia may not be the largest source of Fe to the GoA. Dust models fail to accurately simulate this glacial dust transport because their coarse resolution underestimates wind speeds, and the dust flux. This work suggests that glacial dust fluxes may have been important in the geologic past (e.g., the last glacial maximum) from locations where there was more extensive coverage by glaciers than at present.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023GL106778","usgsCitation":"Crusius, J., Lao, C., Holmes, T.M., and Murray, J.W., 2024, Alaskan glacial dust is an important iron source to surface waters of the Gulf of Alaska: Geophysical Research Letters, v. 51, no. 12, e2023GL106778, 10 p., https://doi.org/10.1029/2023GL106778.","productDescription":"e2023GL106778, 10 p.","ipdsId":"IP-144402","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":498678,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023gl106778","text":"Publisher Index Page"},{"id":498516,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Gulf of Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -166,\n 61\n ],\n [\n -166,\n 48\n ],\n [\n -136,\n 48\n ],\n [\n -136,\n 61\n ],\n [\n -166,\n 61\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"51","issue":"12","noUsgsAuthors":false,"publicationDate":"2024-06-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Crusius, John 0000-0003-2554-0831 jcrusius@usgs.gov","orcid":"https://orcid.org/0000-0003-2554-0831","contributorId":2155,"corporation":false,"usgs":true,"family":"Crusius","given":"John","email":"jcrusius@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":953433,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lao, Carsten","contributorId":364912,"corporation":false,"usgs":false,"family":"Lao","given":"Carsten","affiliations":[{"id":87012,"text":"UW Dept of Chemistry","active":true,"usgs":false}],"preferred":false,"id":953434,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holmes, Thomas M. 0000-0001-8061-4325","orcid":"https://orcid.org/0000-0001-8061-4325","contributorId":364913,"corporation":false,"usgs":false,"family":"Holmes","given":"Thomas","middleInitial":"M.","affiliations":[{"id":87014,"text":"U. Tasmania","active":true,"usgs":false}],"preferred":false,"id":953435,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Murray, J. W. 0000-0002-8577-7964","orcid":"https://orcid.org/0000-0002-8577-7964","contributorId":364914,"corporation":false,"usgs":false,"family":"Murray","given":"J.","middleInitial":"W.","affiliations":[{"id":87015,"text":"UW School of Oceanography","active":true,"usgs":false}],"preferred":false,"id":953436,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70255896,"text":"70255896 - 2024 - Thermo-hydrologic processes governing supra-permafrost talik dynamics in discontinuous permafrost near Umiujaq (Québec, Canada)","interactions":[],"lastModifiedDate":"2024-07-10T15:28:12.262442","indexId":"70255896","displayToPublicDate":"2024-06-21T10:23:23","publicationYear":"2024","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Thermo-hydrologic processes governing supra-permafrost talik dynamics in discontinuous permafrost near Umiujaq (Québec, Canada)","docAbstract":"Widespread supra-permafrost talik formation is\ncurrently recognized as a critical mechanism that\ncould accelerate permafrost thaw in the Arctic\n(e.g., Connon et al. 2018; Farquharson et al. 2022).\nHowever, the trajectory of permafrost dynamics\nfollowing talik formation may prove difficult to predict.\nPhysically-based cryohydrogeologic models provide\na powerful tool for understanding processes and\nfactors controlling talik dynamics and, ultimately, how\npermafrost will respond to climate change. Such\nmodels are typically used to represent multiple\nnon-linear processes relevant for groundwater\nsystems in cold regions, such as coupled heat and\ngroundwater movement, including freeze-thaw\ndynamics and the effects on the surface energy\nbalance and the subsurface thermal and hydraulic\nproperties (Lamontagne-Hallé et al. 2020). Though\ncryohydrogeologic modeling advances have been\nmade in simulating talik dynamics, few applications\nhave been tested against robust long-term\nhydrometeorological and subsurface observations.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 12th International Conference on Permafrost","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"12th International Conference on Permafrost (ICOP 2024)","conferenceDate":"June 16-20, 2024","conferenceLocation":"Whitehorse, Canada","language":"English","usgsCitation":"Fortier, P., Young, N., Walvoord, M.A., Lemieux, J., and Mohammed, A., 2024, Thermo-hydrologic processes governing supra-permafrost talik dynamics in discontinuous permafrost near Umiujaq (Québec, Canada), in Proceedings of the 12th International Conference on Permafrost, v. 2, Whitehorse, Canada, June 16-20, 2024, p. 374-375.","productDescription":"2 p.","startPage":"374","endPage":"375","ipdsId":"IP-160074","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":430899,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":430859,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.uspermafrost.org/conference-proceedings"}],"country":"Canada","state":"Quebec","otherGeospatial":"Umiujaq","volume":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fortier, Philippe","contributorId":300757,"corporation":false,"usgs":false,"family":"Fortier","given":"Philippe","email":"","affiliations":[{"id":39893,"text":"Laval University","active":true,"usgs":false}],"preferred":false,"id":905929,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, Nathan","contributorId":215062,"corporation":false,"usgs":false,"family":"Young","given":"Nathan","affiliations":[{"id":39169,"text":"University of Ottawa","active":true,"usgs":false}],"preferred":false,"id":905930,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walvoord, Michelle A. 0000-0003-4269-8366","orcid":"https://orcid.org/0000-0003-4269-8366","contributorId":211843,"corporation":false,"usgs":true,"family":"Walvoord","given":"Michelle","email":"","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":905931,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lemieux, Jean-Michel","contributorId":300758,"corporation":false,"usgs":false,"family":"Lemieux","given":"Jean-Michel","email":"","affiliations":[{"id":65253,"text":"University Laval","active":true,"usgs":false}],"preferred":false,"id":905932,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mohammed, Aaron","contributorId":340028,"corporation":false,"usgs":false,"family":"Mohammed","given":"Aaron","email":"","affiliations":[{"id":5082,"text":"Syracuse University","active":true,"usgs":false}],"preferred":false,"id":905933,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70255897,"text":"70255897 - 2024 - A history of cryohydrogeology modeling and recent advancements through the integration of solute transport","interactions":[],"lastModifiedDate":"2024-07-10T15:22:41.762515","indexId":"70255897","displayToPublicDate":"2024-06-21T10:22:08","publicationYear":"2024","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"A history of cryohydrogeology modeling and recent advancements through the integration of solute transport","docAbstract":"Groundwater flow systems and permafrost are interrelated because permafrost thaw enhances permeability, while groundwater flow can advect heat and accelerate permafrost thaw (McKenzie et al. 2021). Given amplified climate change in cold regions, there is renewed interest in ‘cryohydrogeology’, the study of groundwater in cold regions. Many data-driven studies have shown that permafrost thaw is leading to activated aquifers and increased baseflow across the pan-Arctic region (e.g. Walvoord and Striegl 2007, Evans et al. 2020). Empirical evidence of a subsurface ‘replumbing’ (Walvoord and Kurylyk 2016) in permafrost regions raises questions about the fate of sequestered contaminants in the North (Langer et al. 2023). We will discuss the history of and emerging opportunities in cryohydrogeological modeling, with a focus on recent contaminant transport modeling.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 12th International Conference on Permafrost","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"12th International Conference on Permafrost (ICOP 2024)","conferenceDate":"June 16-20, 2024","conferenceLocation":"Whitehorse, Canada","language":"English","publisher":"International Permafrost Association","usgsCitation":"Kurylyk, B.L., Guimond, J., Mohammed, A., Bense, V.F., McKenzie, J.M., Walvoord, M.A., Jamieson, R., and Strong, R.B., 2024, A history of cryohydrogeology modeling and recent advancements through the integration of solute transport, in Proceedings of the 12th International Conference on Permafrost, v. 2, Whitehorse, Canada, June 16-20, 2024, p. 568-569.","productDescription":"2 p.","startPage":"568","endPage":"569","ipdsId":"IP-159997","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":430898,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":430860,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.uspermafrost.org/conference-proceedings"}],"volume":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kurylyk, Barret L.","contributorId":176296,"corporation":false,"usgs":false,"family":"Kurylyk","given":"Barret","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":905934,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guimond, Julia","contributorId":266043,"corporation":false,"usgs":false,"family":"Guimond","given":"Julia","email":"","affiliations":[{"id":24650,"text":"Dalhousie University","active":true,"usgs":false}],"preferred":false,"id":905935,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mohammed, Aaron","contributorId":340028,"corporation":false,"usgs":false,"family":"Mohammed","given":"Aaron","email":"","affiliations":[{"id":5082,"text":"Syracuse University","active":true,"usgs":false}],"preferred":false,"id":905936,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bense, Victor F.","contributorId":248636,"corporation":false,"usgs":false,"family":"Bense","given":"Victor","email":"","middleInitial":"F.","affiliations":[{"id":37803,"text":"Wageningen University","active":true,"usgs":false}],"preferred":false,"id":905937,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McKenzie, Jeffrey M.","contributorId":176299,"corporation":false,"usgs":false,"family":"McKenzie","given":"Jeffrey","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":905938,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Walvoord, Michelle A. 0000-0003-4269-8366","orcid":"https://orcid.org/0000-0003-4269-8366","contributorId":211843,"corporation":false,"usgs":true,"family":"Walvoord","given":"Michelle","email":"","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":905939,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jamieson, Rob","contributorId":340029,"corporation":false,"usgs":false,"family":"Jamieson","given":"Rob","email":"","affiliations":[{"id":24650,"text":"Dalhousie University","active":true,"usgs":false}],"preferred":false,"id":905940,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Strong, R. Bailey","contributorId":340030,"corporation":false,"usgs":false,"family":"Strong","given":"R.","email":"","middleInitial":"Bailey","affiliations":[{"id":24650,"text":"Dalhousie University","active":true,"usgs":false}],"preferred":false,"id":905941,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70255720,"text":"70255720 - 2024 - Thermal and hydrological limitations on modeling carbon dynamics at wetland sites of discontinuous and continuous permafrost extent","interactions":[],"lastModifiedDate":"2024-07-02T14:31:18.244161","indexId":"70255720","displayToPublicDate":"2024-06-21T09:30:39","publicationYear":"2024","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Thermal and hydrological limitations on modeling carbon dynamics at wetland sites of discontinuous and continuous permafrost extent","docAbstract":"Accurate representation of cryohydrological processes is fundamental for biosphere models, particularly at high-latitudes, given their influence on carbon and permafrost dynamics in carbon-rich peatlands and wetlands. This study analyzes site-level simulations in moist and wet drainage conditions in continuous or discontinuous permafrost regions, using a terrestrial ecosystem model DVM-DOS-TEM. Functional benchmarking was conducted against eddy covariance flux alongside soil temperature, moisture, and thaw depth observations. Thermal and hydrological analysis reveals parameter sensitivity and uncertainty concerning carbon cycling and permafrost dynamics. Flux representation is markedly consistent at sites characterized by continuous permafrost with less seasonal variation, owing to longer soil freezing duration. Sites in discontinuous permafrost, exhibiting active permafrost degradation and talik formation, pose considerable challenges in accurately depicting thaw depth. Underprediction of soil moisture across all sites has more pronounced effects on boreal wetlands characterized by thick organic layers up to 1 m. These results illustrate the limitations of terrestrial ecosystem models to represent environmental and ecological dynamics in wetlands. Attempts to adjust model hydrology have yielded marginal improvements in thaw depth prediction, but revealed large effects of abrupt phase changes for poorly drained sites on discontinuous permafrost. Our analysis suggests the importance of gradual phase change representation, particularly in ice-rich wetlands with thick organic layers, which will be crucial when evaluating the permafrost carbon-climate feedback in model projections.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 12th International Conference on Permafrost","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"12th International Conference on Permafrost","conferenceDate":"June 16-20, 2024.","conferenceLocation":"Whitehorse, Yukon, Canada","language":"English","publisher":"International Permafrost Association","usgsCitation":"Maglio, B.C., Rutter, R., Carman, T., Edgar, C.W., Euskirchen, E., Genet, H., Mullen, A., Briones, V., Jafarov, E., and Manies, K.L., 2024, Thermal and hydrological limitations on modeling carbon dynamics at wetland sites of discontinuous and continuous permafrost extent, in Proceedings of the 12th International Conference on Permafrost, Whitehorse, Yukon, Canada, June 16-20, 2024., p. 248-256.","productDescription":"9 p.","startPage":"248","endPage":"256","ipdsId":"IP-162209","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":430724,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":430702,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.permafrost.org/proceedings-of-the-12th-international-conference-on-permafrost-icop/"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -142.6808844305595,\n 69.84467566186115\n ],\n [\n -151.89695276969454,\n 69.84467566186115\n ],\n [\n -151.89695276969454,\n 63.137459294385934\n ],\n [\n -142.6808844305595,\n 63.137459294385934\n ],\n [\n -142.6808844305595,\n 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Fairbanks","active":true,"usgs":false}],"preferred":false,"id":905422,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edgar, Colin W. 0000-0002-7026-8358","orcid":"https://orcid.org/0000-0002-7026-8358","contributorId":260621,"corporation":false,"usgs":false,"family":"Edgar","given":"Colin","email":"","middleInitial":"W.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":905423,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Euskirchen, Eugénie S.","contributorId":83378,"corporation":false,"usgs":false,"family":"Euskirchen","given":"Eugénie S.","affiliations":[{"id":13117,"text":"Institute of Arctic Biology, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":905424,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Genet, Hélène","contributorId":195179,"corporation":false,"usgs":false,"family":"Genet","given":"Hélène","affiliations":[],"preferred":false,"id":905425,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mullen, Andrew","contributorId":339864,"corporation":false,"usgs":false,"family":"Mullen","given":"Andrew","email":"","affiliations":[{"id":56085,"text":"Woodwell Climate Research Center","active":true,"usgs":false}],"preferred":false,"id":905426,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Briones, Valeria","contributorId":339865,"corporation":false,"usgs":false,"family":"Briones","given":"Valeria","email":"","affiliations":[{"id":56085,"text":"Woodwell Climate Research Center","active":true,"usgs":false}],"preferred":false,"id":905427,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jafarov, 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","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Birds of the world","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Birds of the World, Species accounts","doi":"10.2173/bow.amufal1.01.1","usgsCitation":"Orta, J., Kirwan, G.M., Marks, J.S., Burner, R.C., Gombobaatar, S., van, P., and Hansasuta, C., 2024, Amur Falcon Falco amurensis, chap. of Birds of the world, HTML Document, https://doi.org/10.2173/bow.amufal1.01.1.","productDescription":"HTML Document","ipdsId":"IP-160821","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":430523,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Version 1.1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Orta, Jaume","contributorId":339672,"corporation":false,"usgs":false,"family":"Orta","given":"Jaume","email":"","affiliations":[{"id":81383,"text":"Servei de Protecció i Gestió de Fauna, Generalitat de Catalunya, Spain","active":true,"usgs":false}],"preferred":false,"id":904848,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kirwan, Guy M.","contributorId":338739,"corporation":false,"usgs":false,"family":"Kirwan","given":"Guy","email":"","middleInitial":"M.","affiliations":[{"id":37250,"text":"Natural History Museum, London","active":true,"usgs":false}],"preferred":false,"id":904849,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marks, Jeffrey S.","contributorId":339673,"corporation":false,"usgs":false,"family":"Marks","given":"Jeffrey","email":"","middleInitial":"S.","affiliations":[{"id":81386,"text":"Montana Bird Advocacy, Missoula, Montana","active":true,"usgs":false}],"preferred":false,"id":904850,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burner, Ryan C. 0000-0002-7314-9506","orcid":"https://orcid.org/0000-0002-7314-9506","contributorId":304152,"corporation":false,"usgs":true,"family":"Burner","given":"Ryan","email":"","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":904851,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gombobaatar, Sundev","contributorId":339674,"corporation":false,"usgs":false,"family":"Gombobaatar","given":"Sundev","email":"","affiliations":[{"id":81387,"text":"National University of Mongolia and Mongolia Ornithological Society, Ulaanbaatar, Mongolia","active":true,"usgs":false}],"preferred":false,"id":904852,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"van, Paul","contributorId":339675,"corporation":false,"usgs":false,"family":"van","given":"Paul","email":"","affiliations":[{"id":81388,"text":"Sovon Dutch Centre for Field Ornithology, Nijmegen, Netherlands","active":true,"usgs":false}],"preferred":false,"id":904853,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hansasuta, Chuenchom","contributorId":339676,"corporation":false,"usgs":false,"family":"Hansasuta","given":"Chuenchom","email":"","affiliations":[{"id":81389,"text":"Dental Hospital, Bangkok, Thailand","active":true,"usgs":false}],"preferred":false,"id":904854,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70255562,"text":"70255562 - 2024 - Iron oxyhydroxide-rich hydrothermal deposits at the high-temperature Fåvne vent field, Mohns Ridge","interactions":[],"lastModifiedDate":"2024-06-24T14:00:38.413451","indexId":"70255562","displayToPublicDate":"2024-06-21T08:43:28","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Iron oxyhydroxide-rich hydrothermal deposits at the high-temperature Fåvne vent field, Mohns Ridge","docAbstract":"The recently discovered Fåvne vent field, located at 3,040 m depth on the slow-spreading Mohns mid-ocean ridge between Greenland and Norway, is a high-temperature (≥250°C) vent field that is characterized by Fe oxyhydroxide-rich and S-poor chimneys and mounds. The vent field is located on both the hanging wall and footwall of a normal fault with a ∼1.5 km throw that forms the western edge of the ∼20 km wide ridge axial valley. Data collected during exploration of the site using a remotely operated vehicle as well as mineralogical and geochemical analyses of rock samples and sediments are used to characterize the geological setting of the vent field and composition of the hydrothermal deposits. The chimney walls are highly porous and lack defined chalcopyrite lined conduits, typical of high-temperature chimneys. Overall, abundant Fe oxyhydroxide precipitation at high-temperature vents at Fåvne reflects an excess of Fe over reduced S in the fluid, leading to precipitation of Fe oxide and oxyhydroxide minerals at high to moderate temperature vents (>100°C), and as microbially mediated and abiotic precipitation of Fe oxyhydroxide minerals at low-temperature diffuse vents (<100°C). The mounds and chimneys exhibit low base metal and reduced S concentrations relative to globally averaged seafloor deposits and suggest subseafloor mixing of hydrothermal fluid with seawater, causing metal sulfide precipitation. Cobalt enrichment at Fåvne may reflect a subsurface influence of an ultramafic substrate on circulating fluids, although ultramafic rocks are absent on the seafloor and no other elements typical of ultramafic deposits are present.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024GC011481","usgsCitation":"Gini, C., Jamieson, J., Reeves, E., Gartman, A., Barreyre, T., Babechuk, M.G., Jorgensen, S.L., and Robert, K., 2024, Iron oxyhydroxide-rich hydrothermal deposits at the high-temperature Fåvne vent field, Mohns Ridge: Geochemistry, Geophysics, Geosystems, v. 25, no. 6, e2024GC011481, 29 p., https://doi.org/10.1029/2024GC011481.","productDescription":"e2024GC011481, 29 p.","ipdsId":"IP-162095","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":439365,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024gc011481","text":"Publisher Index Page"},{"id":430445,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Fåvne Vent Field, Mohns Ridge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -14.945593530960565,\n 74.30569199847616\n ],\n [\n -14.945593530960565,\n 66.9804124151006\n ],\n [\n 3.9250034267149374,\n 66.9804124151006\n ],\n [\n 3.9250034267149374,\n 74.30569199847616\n ],\n [\n -14.945593530960565,\n 74.30569199847616\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"25","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-06-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Gini, Caroline","contributorId":334026,"corporation":false,"usgs":false,"family":"Gini","given":"Caroline","email":"","affiliations":[{"id":40744,"text":"Memorial University","active":true,"usgs":false}],"preferred":false,"id":904676,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jamieson, John","contributorId":339557,"corporation":false,"usgs":false,"family":"Jamieson","given":"John","affiliations":[{"id":40744,"text":"Memorial University","active":true,"usgs":false}],"preferred":false,"id":904677,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reeves, Eoghan P.","contributorId":339559,"corporation":false,"usgs":false,"family":"Reeves","given":"Eoghan P.","affiliations":[{"id":28158,"text":"University of Bergen","active":true,"usgs":false}],"preferred":false,"id":904678,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gartman, Amy 0000-0001-9307-3062 agartman@usgs.gov","orcid":"https://orcid.org/0000-0001-9307-3062","contributorId":177057,"corporation":false,"usgs":true,"family":"Gartman","given":"Amy","email":"agartman@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":904679,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barreyre, Thibaut","contributorId":339562,"corporation":false,"usgs":false,"family":"Barreyre","given":"Thibaut","email":"","affiliations":[{"id":28158,"text":"University of Bergen","active":true,"usgs":false}],"preferred":false,"id":904680,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Babechuk, Michael G.","contributorId":339563,"corporation":false,"usgs":false,"family":"Babechuk","given":"Michael","email":"","middleInitial":"G.","affiliations":[{"id":40744,"text":"Memorial University","active":true,"usgs":false}],"preferred":false,"id":904681,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jorgensen, Steffen L.","contributorId":339565,"corporation":false,"usgs":false,"family":"Jorgensen","given":"Steffen","email":"","middleInitial":"L.","affiliations":[{"id":28158,"text":"University of Bergen","active":true,"usgs":false}],"preferred":false,"id":904682,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Robert, Katleen","contributorId":339567,"corporation":false,"usgs":false,"family":"Robert","given":"Katleen","email":"","affiliations":[{"id":40744,"text":"Memorial University","active":true,"usgs":false}],"preferred":false,"id":904683,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70255526,"text":"fs20243016 - 2024 - Projected sea-level rise and high tide flooding at De Soto National Memorial, Florida","interactions":[],"lastModifiedDate":"2026-01-27T17:57:38.801023","indexId":"fs20243016","displayToPublicDate":"2024-06-21T08:37:05","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":"2024-3016","displayTitle":"Projected Sea-Level Rise and High Tide Flooding at De Soto National Memorial, Florida","title":"Projected sea-level rise and high tide flooding at De Soto National Memorial, Florida","docAbstract":"National parks and preserves in the South Atlantic-Gulf Region contain valuable coastal habitats such as tidal wetlands and mangrove forests, as well as irreplaceable historic buildings and archeological sites located in low-lying areas. These natural and cultural resources are vulnerable to accelerated sea-level rise and escalating high tide flooding events. Through a Natural Resources Preservation Program-funded project during 2021–23, the U.S. Geological Survey, in collaboration with the National Park Service, estimated the probability of inundation at De Soto National Memorial, Florida, and several other parks under various sea-level rise scenarios and contemporary high tide flooding thresholds. The maps produced for this effort can be used to assess potential habitat change and explore how infrastructure and cultural resources within the park may be exposed to future flooding-related hazards.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20243016","issn":"2327-6932","collaboration":"Prepared in collaboration with the National Park Service","usgsCitation":"Thurman, H.R., Enwright, N.M., Osland, M.J., Passeri, D.L., Day, R.H., and Simons, B.M., 2024, Projected sea-level rise and high tide flooding at De Soto National Memorial, Florida: U.S. Geological Survey Fact Sheet 2024–3016, 6 p., https://doi.org/10.3133/fs20243016.","productDescription":"Report: 6 p.; Data Release","numberOfPages":"6","onlineOnly":"Y","ipdsId":"IP-156839","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":499119,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117082.htm","linkFileType":{"id":5,"text":"html"}},{"id":462360,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/fs20243021","text":"USGS Fact Sheet 2024-3021","linkHelpText":"- Projected Sea-Level Rise and High Tide Flooding at San Juan National Historic Site, Puerto Rico"},{"id":430392,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2024/3016/fs20243016.pdf","size":"3.76 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2024-3016"},{"id":462362,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/fs20243023","text":"USGS Fact Sheet 2024-3023","linkHelpText":"- Projected Sea-Level Rise and High Tide Flooding at Dry Tortugas National Park, Florida"},{"id":462361,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/fs20243022","text":"USGS Fact Sheet 2024-3022","linkHelpText":"- Projected Sea-Level Rise and High Tide Flooding at Big Cypress National Preserve, Florida"},{"id":430393,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XPRRYJ","text":"USGS Data Release","linkHelpText":"Sea-level rise and high tide flooding inundation probability and depth statistics at De Soto National Memorial, Florida"},{"id":462363,"rank":8,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/fs20243024","text":"USGS Fact Sheet 2024-3024","linkHelpText":"- Projected Sea-Level Rise and High Tide Flooding at Biscayne National Park, Florida"},{"id":462359,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/fs20243008","text":"USGS Fact Sheet 2024-3008","linkHelpText":"- Projected Sea-Level Rise and High Tide Flooding at Timucuan Ecological and Historic Preserve, Florida"},{"id":430391,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2024/3016/coverthb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"De Soto National Memorial","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.64062200332019,\n 27.525378952688072\n ],\n [\n -82.6453624500619,\n 27.523858398940007\n ],\n [\n -82.6453876652036,\n 27.521063205827403\n ],\n [\n -82.64464066661496,\n 27.521113515616697\n ],\n [\n -82.64465012229329,\n 27.521655784551836\n ],\n [\n -82.64229881027944,\n 27.521622234664157\n ],\n [\n -82.64178189986373,\n 27.523679511071464\n ],\n [\n -82.64062200332019,\n 27.525378952688072\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Wetland and Aquatic Research Center
U.S. Geological Survey
700 Cajundome Blvd.
Lafayette, LA 70506–3152
Contact Us- USGS Publications Warehouse
","tableOfContents":"To estimate predicted ground motion from a teleseismic slip model, we use a low‐ and high‐frequency hybrid method to simulate the regional, strong ground motions observed following the 18 April 2014 moment magnitude (Mw) 7.3 Papanoa, Mexico, earthquake. To generate the regional ground motion at low frequencies (<1 Hz), a teleseismically derived, finite‐fault, kinematic model is used to define the earthquake source, taking into account slip‐model variations identified with a parameter sampling approach that considers possible errors in the fault geometry, the hypocenter depth, and the rupture velocity. A 3D crustal model is used to calculate the low‐frequency ground motions using a finite‐element calculation that includes topography and considers variations in the source model to estimate the uncertainty in the calculations. High frequencies (>1 Hz) are added using a 1D full‐wave propagation code that estimates uncertainties by considering multiple random distributions of slip with different spatial correlation lengths. The synthetic, broadband (0.05–10.0 Hz) ground motions are obtained by combining the low‐ and high‐frequency portions match filtered at 1 Hz. These synthetic ground motions are compared with the regional observations using velocity records, peak ground acceleration, and medians of the orientation‐independent response spectra of the horizontal components (RotD50) calculated at periods of 0.2, 0.3, 0.5, 1.0, 2.0, 3.0, 5.0, 7.5, and 10.0 s. The results indicate that ground motions estimated at these periods using our hybrid approach based primarily on a teleseismically derived source model are comparable to the values observed for the 2014 Papanoa earthquake at regional distances. The approach could be used to estimate strong‐motion spectral levels expected for regions with limited local and regional recordings and could also fill in magnitude or distance gaps in ground‐motion prediction relations utilized in the assessment of seismic hazard.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120230311","usgsCitation":"Mendoza, C., Hartzell, S.H., Ramirez-Guzman, L., and Martinez-Lopez, R., 2024, Prediction of regional broadband strong ground motions using a teleseismic source model of the 18 April 2014 Mw 7.3 Papanoa, Mexico, earthquake: Bulletin of the Seismological Society of America, v. 14, no. 5, p. 2524-2545, https://doi.org/10.1785/0120230311.","productDescription":"22 p.","startPage":"2524","endPage":"2545","ipdsId":"IP-156741","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":433492,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","city":"Papanoa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -102,\n 18.5\n ],\n [\n -102,\n 16.833\n ],\n [\n -99,\n 16.833\n ],\n [\n -99,\n 18.5\n ],\n [\n -102,\n 18.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-06-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Mendoza, Carlos 0000-0002-2428-7064","orcid":"https://orcid.org/0000-0002-2428-7064","contributorId":343872,"corporation":false,"usgs":false,"family":"Mendoza","given":"Carlos","email":"","affiliations":[{"id":18923,"text":"Universidad Nacional Autonoma de Mexico","active":true,"usgs":false}],"preferred":false,"id":912251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hartzell, Stephen H. 0000-0003-0858-9043 shartzell@usgs.gov","orcid":"https://orcid.org/0000-0003-0858-9043","contributorId":2594,"corporation":false,"usgs":true,"family":"Hartzell","given":"Stephen","email":"shartzell@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":912252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ramirez-Guzman, Leonardo","contributorId":151026,"corporation":false,"usgs":false,"family":"Ramirez-Guzman","given":"Leonardo","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":912253,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martinez-Lopez, R.","contributorId":343875,"corporation":false,"usgs":false,"family":"Martinez-Lopez","given":"R.","email":"","affiliations":[{"id":18923,"text":"Universidad Nacional Autonoma de Mexico","active":true,"usgs":false}],"preferred":false,"id":912254,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70257766,"text":"70257766 - 2024 - From eDNA to decisions using a multi-method approach to restoration planning in streams","interactions":[],"lastModifiedDate":"2024-08-26T12:29:25.642251","indexId":"70257766","displayToPublicDate":"2024-06-21T07:24:58","publicationYear":"2024","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":"From eDNA to decisions using a multi-method approach to restoration planning in streams","docAbstract":"Reintroduction efforts are increasingly used to mitigate biodiversity losses, but are frequently challenged by inadequate planning and uncertainty. High quality information about population status and threats can be used to prioritize reintroduction and restoration efforts and can transform ad hoc approaches into opportunities for improving conservation outcomes at a landscape scale. We conducted comprehensive environmental DNA (eDNA) and visual encounter surveys to determine the distribution of native and non-native aquatic species in two high-priority watersheds to address key uncertainties—such as the distribution of threats and the status of existing populations—inherent in restoration planning. We then used these occurrence data to develop a menu of potential conservation actions and a decision framework to benefit an endangered vertebrate (foothill yellow-legged frog, Rana boylii) in dynamic stream systems. Our framework combines the strengths of multiple methods, allowing managers and conservation scientists to incorporate conservation science and site-specific knowledge into the planning process to increase the likelihood of achieving conservation goals.