{"pageNumber":"93","pageRowStart":"2300","pageSize":"25","recordCount":165309,"records":[{"id":70270867,"text":"70270867 - 2025 - Artificial neural network multilayer perceptron models to classify California’s crops using Harmonized Landsat Sentinel (HLS) data","interactions":[],"lastModifiedDate":"2025-08-26T15:15:01.880335","indexId":"70270867","displayToPublicDate":"2025-02-01T08:07:35","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3052,"text":"Photogrammetric Engineering and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Artificial neural network multilayer perceptron models to classify California’s crops using Harmonized Landsat Sentinel (HLS) data","docAbstract":"Advances in remote sensing and machine learning are enhancing cropland classification, vital for global food and water security. We used multispectral Harmonized Landsat 8 Sentinel-2 (HLS) 30-m data in an artificial neural network (ANN) multi-layer perceptron (MLP) model to classify five crop classes (cotton, alfalfa, tree crops, grapes, and others) in California's Central Valley. The ANN MLP model, trained on 2021 data from the United States Department of Agriculture's Cropland Data Layer, was validated by classifying crops for an independent year, 2022. Across the five crop classes, the overall accuracy was 74%. Producer's and user's accuracies ranged from 65% to 87%, with cotton achieving the highest accuracies. The study highlights the potential of using deep learning with HLS time series data for accurate global crop classification.
","language":"English","publisher":"Ingenta Connect","doi":"10.14358/PERS.24-00072R3","usgsCitation":"McCormick, R.L., Thenkabail, P., Aneece, I., Teluguntla, P., Oliphant, A., and Foley, D., 2025, Artificial neural network multilayer perceptron models to classify California’s crops using Harmonized Landsat Sentinel (HLS) data: Photogrammetric Engineering and Remote Sensing, v. 91, no. 2, p. 91-100, https://doi.org/10.14358/PERS.24-00072R3.","productDescription":"10 p.","startPage":"91","endPage":"100","ipdsId":"IP-165508","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":495060,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14358/pers.24-00072r3","text":"Publisher Index Page"},{"id":494898,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Fresno","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -119.72184856336573,\n 37.15510709833474\n ],\n [\n -119.70395156455555,\n 36.73462649015923\n ],\n [\n -118.95495213764198,\n 36.73462649015923\n ],\n [\n -118.99091736443204,\n 37.169191590622404\n ],\n [\n -119.72184856336573,\n 37.15510709833474\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"91","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McCormick, Richard L. 0009-0002-8208-2136","orcid":"https://orcid.org/0009-0002-8208-2136","contributorId":346504,"corporation":false,"usgs":true,"family":"McCormick","given":"Richard","email":"","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":947249,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thenkabail, Prasad 0000-0002-2182-8822","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":220239,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":947250,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aneece, Itiya 0000-0002-1201-5459","orcid":"https://orcid.org/0000-0002-1201-5459","contributorId":211471,"corporation":false,"usgs":true,"family":"Aneece","given":"Itiya","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":947251,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Teluguntla, Pardhasaradhi 0000-0001-8060-9841","orcid":"https://orcid.org/0000-0001-8060-9841","contributorId":211780,"corporation":false,"usgs":true,"family":"Teluguntla","given":"Pardhasaradhi","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":947252,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Oliphant, Adam 0000-0001-8622-7932 aoliphant@usgs.gov","orcid":"https://orcid.org/0000-0001-8622-7932","contributorId":192325,"corporation":false,"usgs":true,"family":"Oliphant","given":"Adam","email":"aoliphant@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":947253,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Foley, Daniel 0000-0002-2051-6325","orcid":"https://orcid.org/0000-0002-2051-6325","contributorId":208266,"corporation":false,"usgs":true,"family":"Foley","given":"Daniel","email":"","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":947254,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70267785,"text":"70267785 - 2025 - Integration of Indigenous Research Methodologies, Traditional Ecological Knowledge and molecular scatology in an assessment of mesocarnivore presence, diet and habitat use on Yurok Ancestral Lands.","interactions":[],"lastModifiedDate":"2025-06-02T14:59:49.70948","indexId":"70267785","displayToPublicDate":"2025-02-01T07:50:38","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2776,"text":"Molecular Ecology Resources","active":true,"publicationSubtype":{"id":10}},"title":"Integration of Indigenous Research Methodologies, Traditional Ecological Knowledge and molecular scatology in an assessment of mesocarnivore presence, diet and habitat use on Yurok Ancestral Lands.","docAbstract":"Partnerships between Tribes and researchers in wildlife monitoring and application of Traditional Ecological Knowledge (TEK) have taken a variety of forms, and some scholars have noted a need for culturally sensitive approaches. Guided by Indigenous Research Methodologies, this research is coupled with Yurok TEK, or hlkelonah 'ue-megetohl ('to take care of the earth'), enabling an applied, culturally sensitive approach in partnership with the Yurok Tribe. We present results from a molecular scatology study of wildlife within the ancestral territory of the Yurok Tribe. Scats were collected opportunistically on road transects. All samples (N = 132) were analysed via DNA barcoding and results matched to documented 'Oohl 'we-toh (Yurok language) names to determine the depositor species (N = 8). Though there were four focal mesocarnivore species in our study, only bobcat (Chmuuek; Lynx rufus) and gray fox (Wergers; Urocyon cinereoargenteus) were detected as depositor species. Post hoc analyses were conducted to explore distribution, habitat use and selection in a use-availability context, and food habits of these two species. We found almost complete separation of bobcat and gray fox use of transects, as well as indication of partitioning of vegetation cover types and food. We demonstrate an integrated framework of Western and Indigenous sciences that allows the Indigenous researcher to transcend structured academic disciplinary boundaries. Our approach can be modified for partnerships between Tribes, agencies, academics and students for wildlife monitoring in broader geographic regions in various research applications.
","language":"English","publisher":"Wiley","doi":"10.1111/1755-0998.13963","usgsCitation":"Ramos, S., and Culver, M., 2025, Integration of Indigenous Research Methodologies, Traditional Ecological Knowledge and molecular scatology in an assessment of mesocarnivore presence, diet and habitat use on Yurok Ancestral Lands.: Molecular Ecology Resources, v. 25, no. 2, e13963, 16 p., https://doi.org/10.1111/1755-0998.13963.","productDescription":"e13963, 16 p.","ipdsId":"IP-144218","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":498239,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1755-0998.13963","text":"Publisher Index Page"},{"id":489378,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"northwestern California, Yurok tribal lands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.18637554494717,\n 41.06129121851316\n ],\n [\n -123.18637554494717,\n 40.33744763965922\n ],\n [\n -122.12359837800824,\n 40.33744763965922\n ],\n [\n -122.12359837800824,\n 41.06129121851316\n ],\n [\n -123.18637554494717,\n 41.06129121851316\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"25","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-05-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Ramos, Seafha C.","contributorId":356207,"corporation":false,"usgs":false,"family":"Ramos","given":"Seafha C.","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":938875,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Culver, Melanie 0000-0001-5380-3059 mculver@usgs.gov","orcid":"https://orcid.org/0000-0001-5380-3059","contributorId":197693,"corporation":false,"usgs":true,"family":"Culver","given":"Melanie","email":"mculver@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":938876,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70268344,"text":"70268344 - 2025 - Direct and legacy effects of varying cool-season precipitation totals on ecosystem carbon flux in a semi-arid mixed grassland","interactions":[],"lastModifiedDate":"2025-06-23T14:55:27.016343","indexId":"70268344","displayToPublicDate":"2025-02-01T07:50:22","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3090,"text":"Plant, Cell & Environment","onlineIssn":"1365-3040","active":true,"publicationSubtype":{"id":10}},"title":"Direct and legacy effects of varying cool-season precipitation totals on ecosystem carbon flux in a semi-arid mixed grassland","docAbstract":"In the semi-arid grasslands of the southwest United States, annual precipitation is divided between warm-season (July–September) convective precipitation and cool-season (December–March) frontal storms. While evidence suggests shifts in precipitation seasonal distribution, there is a poor understanding of the ecosystem carbon flux responses to cool-season precipitation and the potential legacy effects on subsequent warm-season carbon fluxes. Results from a two-year experiment with three cool-season precipitation treatments (dry, received 5th percentile cool-season total precipitation; normal, 50th; wet, 95th) and constant warm-season precipitation illustrate the direct and legacy effects on carbon fluxes, but in opposing ways. In wet cool-season plots, gross primary productivity (GPP) and ecosystem respiration (ER) were 103% and 127% higher than in normal cool-season plots. In dry cool-season plots, GPP and ER were 47% and 85% lower compared to normal cool-season plots. Unexpectedly, we found a positive legacy effect of the dry cool-season treatment on warm-season carbon flux, resulting in a significant increase in both GPP and ER in the subsequent warm season, compared to normal cool-season plots. Our results reveal positive legacy effects of cool-season drought on warm-season carbon fluxes and highlight the importance of the relatively under-studied cool-growing season and its direct/indirect impact on the ecosystem carbon budget.","language":"English","publisher":"Wiley","doi":"10.1111/pce.15175","usgsCitation":"Zhang, F., Biederman, J.A., Pierce, N., Potts, D.L., Reed, S., and Smith, W.K., 2025, Direct and legacy effects of varying cool-season precipitation totals on ecosystem carbon flux in a semi-arid mixed grassland: Plant, Cell & Environment, v. 48, no. 2, p. 943-952, https://doi.org/10.1111/pce.15175.","productDescription":"10 p.","startPage":"943","endPage":"952","ipdsId":"IP-169161","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":491497,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/pce.15175","text":"Publisher Index 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,{"id":70263193,"text":"pp1842BB - 2025 - The effects of management practices on grassland birds—Field Sparrow (Spizella pusilla)","interactions":[{"subject":{"id":70263193,"text":"pp1842BB - 2025 - The effects of management practices on grassland birds—Field Sparrow (Spizella pusilla)","indexId":"pp1842BB","publicationYear":"2025","noYear":false,"chapter":"BB","displayTitle":"The Effects of Management Practices on Grassland Birds—Field Sparrow (Spizella pusilla)","title":"The effects of management practices on grassland birds—Field Sparrow (Spizella pusilla)"},"predicate":"IS_PART_OF","object":{"id":70203022,"text":"pp1842 - 2019 - The effects of management practices on grassland birds","indexId":"pp1842","publicationYear":"2019","noYear":false,"title":"The effects of management practices on grassland birds"},"id":1}],"isPartOf":{"id":70203022,"text":"pp1842 - 2019 - The effects of management practices on grassland birds","indexId":"pp1842","publicationYear":"2019","noYear":false,"title":"The effects of management practices on grassland birds"},"lastModifiedDate":"2025-02-03T14:51:35.210208","indexId":"pp1842BB","displayToPublicDate":"2025-01-31T14:16:50","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1842","chapter":"BB","displayTitle":"The Effects of Management Practices on Grassland Birds—Field Sparrow (Spizella pusilla)","title":"The effects of management practices on grassland birds—Field Sparrow (Spizella pusilla)","docAbstract":"Keys to Field Sparrow (Spizella pusilla) management include providing shrub-dominated edge habitat adjacent to grasslands or grasslands with a shrub component (both of which must include dense grass and moderately high litter cover) and avoiding disturbances that eliminate woody vegetation. Field Sparrows have been reported to use habitats with 16–134 centimeters (cm) vegetation height, 20–145 cm visual obstruction reading, 17–90 percent grass cover, 2–45 percent forb cover, less than 63 percent shrub cover, 3–7 percent bare ground, 14–30 percent litter cover, and 1–7 cm litter depth.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1842BB","usgsCitation":"Shaffer, J.A., Igl, L.D., Johnson, D.H., Sondreal, M.L., Goldade, C.M., Parkin, B.D., and Euliss, B.R., 2025, The effects of management practices on grassland birds—Field Sparrow (Spizella pusilla), chap. BB of Johnson, D.H., Igl, L.D., Shaffer, J.A., and DeLong, J.P., eds., The effects of management practices on grassland birds: U.S. Geological Survey Professional Paper 1842, 35 p., https://doi.org/10.3133/pp1842BB.","productDescription":"vii, 35 p.","numberOfPages":"48","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-096451","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":481568,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1842/bb/coverthb.jpg"},{"id":481569,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1842/bb/pp1842bb.pdf","text":"Report","size":"10 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1842–BB"}],"contact":"Director, Northern Prairie Wildlife Research Center
U.S. Geological Survey
8711 37th Street Southeast
Jamestown, North Dakota 58401
Contact Pubs Warehouse
","tableOfContents":"- Acknowledgments
- Capsule Statement
- Breeding Range
- Suitable Habitat
- Area Requirements and Landscape Associations
- Brood Parasitism by Cowbirds and Other Species
- Breeding-Season Phenology and Site Fidelity
- Species’ Response to Management
- Management Recommendations from the Literature
- References
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,{"id":70263174,"text":"ofr20241074 - 2025 - Reproductive parameters in invasive blue catfish (Ictalurus furcatus) from tributaries of the Chesapeake Bay in Maryland and Delaware, 2020–22","interactions":[],"lastModifiedDate":"2025-02-06T19:55:23.808466","indexId":"ofr20241074","displayToPublicDate":"2025-01-31T11:30:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-1074","displayTitle":"Reproductive Parameters in Invasive Blue Catfish (Ictalurus furcatus) From Tributaries of the Chesapeake Bay in Maryland and Delaware, 2020–22","title":"Reproductive parameters in invasive blue catfish (Ictalurus furcatus) from tributaries of the Chesapeake Bay in Maryland and Delaware, 2020–22","docAbstract":"Over the past few decades, Ictalurus furcatus (Valenciennes in Cuvier and Valenciennes, 1840; blue catfish) have become a formidable invasive species in tidal tributaries of the Chesapeake Bay in Maryland and Delaware. Knowledge of their reproductive behaviors can support managers in the determination of ideal timing and implementation of mitigation strategies. In 2020–22, the U.S. Geological Survey sampled blue catfish from the Chesapeake Bay’s tidal reaches of the Nanticoke River, Broad Creek, Marshyhope Creek, and Patuxent River in Maryland and Delaware from March to October. All fish were analyzed with histology to assess reproductive stages (immature, pre-spawn [early and late], and post-spawn). Plasma was collected for multiple endpoints including 17β-estradiol (E2), calcium, and total protein. Results indicated that female spawning generally occurred from late April through June, as evidenced by the histological data showing that the number of vitellogenic oocytes in late pre-spawn females began to increase in April, peaked in May, and gradually declined through July. In males, the greatest number of late pre-spawn individuals was observed in April and gradually declined through June. Additionally, female E2 levels were highest in late, pre-spawn females, thus showing a similar trend as the histological results, indicating that this endpoint can be used for assessing reproductive changes over time. Collectively, this study documents typical spawning patterns in blue catfish within the Chesapeake Bay watershed. However, further research across different watersheds would enhance data availability and inform more comprehensive management strategies.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/ofr20241074","usgsCitation":"Walsh, H.L., Densmore, C.L., Regish, A.M., Norstog, J., Moore, J., Williams, B., Bressman, N., and Crum, Z., 2025, Reproductive parameters in invasive blue catfish (Ictalurus furcatus) from tributaries of the Chesapeake Bay in Maryland and Delaware, 2020–22: U.S. Geological Survey Open-File Report 2024–1074, 17 p., https://doi.org/10.3133/ofr20241074.","productDescription":"Report: vi, 17 p.; Data Release","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-171688","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":481526,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1074/images"},{"id":481525,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13W8K3Y","text":"USGS data release","linkHelpText":"Morphometric and reproductive data from blue catfish (Ictalurus furcatus) collected in tributaries of the Chesapeake Bay, Maryland and Delaware 2020–2022"},{"id":481522,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1074/ofr20241074.pdf","text":"Report","size":"4.46 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024-1074"},{"id":481521,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1074/coverthb.jpg"},{"id":481555,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241074/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2024-1074"},{"id":481527,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1074/ofr20241074.xml"}],"country":"United States","state":"Delaware, Maryland","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75.56331116045253,\n 38.61088599742371\n ],\n [\n -75.82395278530792,\n 38.61088599742371\n ],\n [\n -75.82395278530792,\n 38.38925412638224\n ],\n [\n -75.56331116045253,\n 38.38925412638224\n ],\n [\n -75.56331116045253,\n 38.61088599742371\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Eastern Ecological Science Center
U.S. Geological Survey
11649 Leetown Rd.
Kearneysville, WV 25430
","tableOfContents":"- Acknowledgments
- Abstract
- Introduction
- Methods
- Results
- Conclusion
- References Cited
- Glossary
","publishedDate":"2025-01-31","noUsgsAuthors":false,"publicationDate":"2025-01-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Walsh, Heather L. 0000-0001-6392-4604 hwalsh@usgs.gov","orcid":"https://orcid.org/0000-0001-6392-4604","contributorId":4696,"corporation":false,"usgs":true,"family":"Walsh","given":"Heather","email":"hwalsh@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":925773,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Densmore, Christine L. 0000-0001-6440-0781","orcid":"https://orcid.org/0000-0001-6440-0781","contributorId":349917,"corporation":false,"usgs":false,"family":"Densmore","given":"Christine L.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":925774,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Regish, Amy M. 0000-0003-4747-4265","orcid":"https://orcid.org/0000-0003-4747-4265","contributorId":265360,"corporation":false,"usgs":true,"family":"Regish","given":"Amy","email":"","middleInitial":"M.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":925775,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Norstog, Jessica L. 0000-0002-5495-5131","orcid":"https://orcid.org/0000-0002-5495-5131","contributorId":295345,"corporation":false,"usgs":false,"family":"Norstog","given":"Jessica","email":"","middleInitial":"L.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":925776,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moore, Johnny","contributorId":349918,"corporation":false,"usgs":false,"family":"Moore","given":"Johnny","affiliations":[{"id":83536,"text":"Delaware DNR","active":true,"usgs":false}],"preferred":false,"id":925777,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Williams, Branson 0000-0003-0000-6720","orcid":"https://orcid.org/0000-0003-0000-6720","contributorId":349919,"corporation":false,"usgs":false,"family":"Williams","given":"Branson","affiliations":[{"id":83121,"text":"Maryland DNR","active":true,"usgs":false}],"preferred":false,"id":925778,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bressman, Noah 0000-0002-2916-3562","orcid":"https://orcid.org/0000-0002-2916-3562","contributorId":349920,"corporation":false,"usgs":false,"family":"Bressman","given":"Noah","affiliations":[{"id":36201,"text":"Salisbury University","active":true,"usgs":false}],"preferred":false,"id":925779,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Crum, Zachary","contributorId":349921,"corporation":false,"usgs":false,"family":"Crum","given":"Zachary","affiliations":[{"id":6952,"text":"California Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":925780,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70263173,"text":"sir20245108 - 2025 - 2022 Volcanic activity in Alaska and the Northern Mariana Islands—Summary of events and response of the Alaska Volcano Observatory","interactions":[],"lastModifiedDate":"2025-07-21T18:03:22.332207","indexId":"sir20245108","displayToPublicDate":"2025-01-31T10:17:03","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5108","displayTitle":"2022 Volcanic Activity in Alaska and the Northern Mariana Islands—Summary of Events and Response of the Alaska Volcano Observatory","title":"2022 Volcanic activity in Alaska and the Northern Mariana Islands—Summary of events and response of the Alaska Volcano Observatory","docAbstract":"In 2022, the Alaska Volcano Observatory responded to eruptions, volcanic unrest or suspected unrest, increased seismicity, and other significant activity at 11 volcanic centers in Alaska and in the Northern Mariana Islands. Eruptive activity in Alaska consisted of repeated small, ash-producing, phreatomagmatic explosions from Mount Young on Semisopochnoi Island; the eruption of a thick lava flow within the summit crater at Great Sitkin Volcano; and weak explosive activity and the eruption of small, channelized flows at Pavlof Volcano. Uplift and an increase in seismicity were detected at Mount Edgecumbe, a long-dormant volcano in southeastern Alaska. Anomalous seismicity was also detected at three other volcanoes, including Trident Volcano, Takawangha volcano, and Davidof volcano. Other activity documented in 2022 includes ash resuspension events at Mount Katmai and Aniakchak Crater, and Mount Cleveland had a period of unrest, but no eruptive activity took place. In the Commonwealth of the Northern Marianas Islands, hydroacoustic detections and a submarine plume observed in satellite data at Ahyi seamount indicated underwater eruptive activity there.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245108","collaboration":"The Alaska Volcano Observatory is a consortium between the U.S. Geological Survey, the University of Alaska Fairbanks Geophysical Institute, and the Alaska Division of Geological & Geophysical Surveys","usgsCitation":"Orr, T.R., Dietterich, H.R., Grapenthin, R., Haney, M.M., Loewen, M.W., Saunders-Shultz, P., Tan, D., Waythomas, C.F., and Wech, A.G., 2025, 2022 Volcanic activity in Alaska and the Northern Mariana Islands—Summary of events and response of the Alaska Volcano Observatory: U.S. Geological Survey Scientific Investigations Report 2024-5108, 46 p., https://doi.org/10.3133/sir20245108.","productDescription":"ix, 46 p.","numberOfPages":"46","onlineOnly":"Y","ipdsId":"IP-152943","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":492678,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118410.htm","text":"Mt. Edgecumbe","linkFileType":{"id":5,"text":"html"}},{"id":481523,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5108/covrthb.jpg"},{"id":481524,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5108/sir20245108.pdf","text":"Document","size":"13 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":492676,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118408.htm","text":"Mt. Katmai, Trident Volcano, Aniak Crater, Pavlof Volcano, Mt. Cleveland, Takawangha Volcano, Great Sitkin Volcano, Semisopochnoi Island, Davidof Volcano","linkFileType":{"id":5,"text":"html"}},{"id":492677,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118409.htm","text":"Northern Mariana Islands and Ahyi Seamount","linkFileType":{"id":5,"text":"html"}}],"country":"Commonwealth of the Northern Marianas Islands, United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -135.53816786826286,\n 57.38098900209502\n ],\n [\n -136.05611606682763,\n 57.38098900209502\n ],\n [\n -136.05611606682763,\n 56.83684431579326\n ],\n [\n -135.53816786826286,\n 56.83684431579326\n ],\n [\n -135.53816786826286,\n 57.38098900209502\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -141.35385989880953,\n 60.14025333267071\n ],\n [\n -141.19757367571614,\n 63.76977206547613\n ],\n [\n -158.28314177162866,\n 59.80039757333148\n ],\n [\n -159.58076765733466,\n 58.614262518125656\n ],\n [\n -158.3486276218774,\n 57.657199413717876\n ],\n [\n -163.92181500362653,\n 55.48998666266456\n ],\n [\n -170.96840796656934,\n 53.54354331847691\n ],\n [\n -179.35526720020715,\n 52.41913115813213\n ],\n [\n -179.9,\n 50.40814181877161\n ],\n [\n -156.32990077575613,\n 54.72335821881029\n ],\n [\n -150.75655120881962,\n 57.04792418079805\n ],\n [\n -141.35385989880953,\n 60.14025333267071\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 179.9,\n 52.416621580476686\n ],\n [\n 176.6106954228785,\n 52.416621580476686\n ],\n [\n 176.6106954228785,\n 51.16946152120039\n ],\n [\n 179.9,\n 51.16946152120039\n ],\n [\n 179.9,\n 52.416621580476686\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 143.7848438037919,\n 21.03459968883182\n ],\n [\n 143.7848438037919,\n 12.571176082090219\n ],\n [\n 146.78274675227806,\n 12.571176082090219\n ],\n [\n 146.78274675227806,\n 21.03459968883182\n ],\n [\n 143.7848438037919,\n 21.03459968883182\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Alaska Volcano Observatory
U.S. Geological Survey
4210 University Drive
Anchorage, AK 99508
","tableOfContents":"- Abstract
- Introduction
- Volcanic Activity in Alaska
- Volcanic Activity in the Commonwealth of the Northern Mariana Islands
- References Cited
- Glossary of Selected Terms and Acronyms
","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2025-01-31","noUsgsAuthors":false,"publicationDate":"2025-01-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Orr, Tim R. 0000-0003-1157-7588 torr@usgs.gov","orcid":"https://orcid.org/0000-0003-1157-7588","contributorId":149803,"corporation":false,"usgs":true,"family":"Orr","given":"Tim","email":"torr@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":925764,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dietterich, Hannah R. 0000-0001-7898-4343 hdietterich@usgs.gov","orcid":"https://orcid.org/0000-0001-7898-4343","contributorId":194354,"corporation":false,"usgs":true,"family":"Dietterich","given":"Hannah","email":"hdietterich@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":925765,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grapenthin, Ronni","contributorId":257035,"corporation":false,"usgs":false,"family":"Grapenthin","given":"Ronni","email":"","affiliations":[{"id":7026,"text":"New Mexico Tech","active":true,"usgs":false}],"preferred":false,"id":925766,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haney, Matthew M. 0000-0003-3317-7884 mhaney@usgs.gov","orcid":"https://orcid.org/0000-0003-3317-7884","contributorId":172948,"corporation":false,"usgs":true,"family":"Haney","given":"Matthew","email":"mhaney@usgs.gov","middleInitial":"M.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":925768,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Loewen, Matthew W. 0000-0002-5621-285X","orcid":"https://orcid.org/0000-0002-5621-285X","contributorId":213321,"corporation":false,"usgs":true,"family":"Loewen","given":"Matthew","email":"","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":925769,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Saunders-Shultz, Pablo","contributorId":336581,"corporation":false,"usgs":false,"family":"Saunders-Shultz","given":"Pablo","email":"","affiliations":[{"id":80792,"text":"University of Alaska Fairbanks Geophysical Institute","active":true,"usgs":false}],"preferred":false,"id":925770,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tan, Darren 0000-0001-8210-6041","orcid":"https://orcid.org/0000-0001-8210-6041","contributorId":304978,"corporation":false,"usgs":false,"family":"Tan","given":"Darren","email":"","affiliations":[{"id":66199,"text":"Geophysical Institute and Alaska Volcano Observatory, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":925771,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Waythomas, Christopher F. 0000-0002-3898-272X cwaythomas@usgs.gov","orcid":"https://orcid.org/0000-0002-3898-272X","contributorId":640,"corporation":false,"usgs":true,"family":"Waythomas","given":"Christopher","email":"cwaythomas@usgs.gov","middleInitial":"F.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":925772,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wech, Aaron G. 0000-0003-4983-1991 awech@usgs.gov","orcid":"https://orcid.org/0000-0003-4983-1991","contributorId":5344,"corporation":false,"usgs":true,"family":"Wech","given":"Aaron","email":"awech@usgs.gov","middleInitial":"G.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":925781,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70264783,"text":"70264783 - 2025 - Exosomal micro RNA isolation in white-tailed deer (Odocoileus virginianus) for diagnostic biomarker discovery","interactions":[],"lastModifiedDate":"2025-03-24T15:07:53.520626","indexId":"70264783","displayToPublicDate":"2025-01-31T10:04:49","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Exosomal micro RNA isolation in white-tailed deer (Odocoileus virginianus) for diagnostic biomarker discovery","title":"Exosomal micro RNA isolation in white-tailed deer (Odocoileus virginianus) for diagnostic biomarker discovery","docAbstract":"Molecular approaches are becoming more prevalent for the diagnosis of neurodegenerative diseases in human medicine and can be extended to diagnosis of wildlife diseases such as chronic wasting disease and other prion diseases. These diseases have been associated with exosome-bound molecular biomarkers of disease progression, such as proteins and micro RNA molecules (miRNA). We tested and optimized a method for exosomal miRNA isolation from minimally invasive, small-volume serum samples obtained from white-tailed deer (Odocoileus virginianus). We confirmed the isolation of exosomes and optimized a commercially available benchtop kit to obtain sufficient and pure RNA for miRNA sequencing. The selected method for RNA extraction combines two 500-mL serum aliquots into one elution column and re-eluting the final product of the column. We identified 137 miRNA present in healthy white-tailed deer that can be used as a baseline to identify putative miRNA biomarkers of disease progression and mechanisms of infection in future comparative disease studies. This approach to biomarker discovery may help to inform biological processes in wildlife populations and provide alternatives to invasive or postmortem samples.
","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/JWD-D-24-00075","usgsCitation":"De Maria, M., Maxwell, L., Hunter, M., and Ferrante, J., 2025, Exosomal micro RNA isolation in white-tailed deer (Odocoileus virginianus) for diagnostic biomarker discovery: Journal of Wildlife Diseases, v. 61, no. 1, p. 212-218, https://doi.org/10.7589/JWD-D-24-00075.","productDescription":"7 p.","startPage":"212","endPage":"218","ipdsId":"IP-164755","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":483714,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"61","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"De Maria, Maite 0000-0002-5251-4869","orcid":"https://orcid.org/0000-0002-5251-4869","contributorId":346886,"corporation":false,"usgs":false,"family":"De Maria","given":"Maite","email":"","affiliations":[{"id":64427,"text":"Cherokee Nation System Solutions","active":true,"usgs":false}],"preferred":false,"id":931665,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maxwell, Lillian G. 0009-0007-7876-0797","orcid":"https://orcid.org/0009-0007-7876-0797","contributorId":352561,"corporation":false,"usgs":false,"family":"Maxwell","given":"Lillian G.","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":931666,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunter, Margaret 0000-0002-4760-9302","orcid":"https://orcid.org/0000-0002-4760-9302","contributorId":214742,"corporation":false,"usgs":true,"family":"Hunter","given":"Margaret","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":931667,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ferrante, Jason 0000-0003-3453-4636","orcid":"https://orcid.org/0000-0003-3453-4636","contributorId":331541,"corporation":false,"usgs":false,"family":"Ferrante","given":"Jason","affiliations":[{"id":79241,"text":"former USGS WARC employee","active":true,"usgs":false}],"preferred":false,"id":931668,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70263370,"text":"70263370 - 2025 - National seed strategy for rehabilitation and restoration progress report 2022 & 2023: Handout","interactions":[],"lastModifiedDate":"2025-02-12T16:06:31.943174","indexId":"70263370","displayToPublicDate":"2025-01-31T10:03:19","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"title":"National seed strategy for rehabilitation and restoration progress report 2022 & 2023: Handout","docAbstract":"Restoring healthy, resilient, biodiverse ecosystems is crucial for our Nation’s future. Native plant communities provide essential environmental benefits, such as buffering against extreme weather, improving air, soil, and water quality, and habitat for wildlife. However, the limited availability of locally adapted native plants hampers effective ecological restoration. To address this need, the Plant Conservation Alliance released the National Seed Strategy in 2015 to foster coordination to increase the supply of native seeds for restoration on public, Tribal, state, and private lands. Developing and using native seeds nurtures a growing restoration economy that creates jobs, stimulates rural economies, and reduces risks from environmental hazards.
","language":"English","publisher":"Bureau of Land Management","usgsCitation":"Shriver, L.C., and Mengelt, C., 2025, National seed strategy for rehabilitation and restoration progress report 2022 & 2023: Handout, 2 p.","productDescription":"2 p.","ipdsId":"IP-175284","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":481979,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":481784,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.blm.gov/sites/default/files/docs/2025-01/Fact-Sheet-National-Seed-Progress-Report-FY2022-2023.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Shriver, Laura Cecilia 0009-0008-5567-0868","orcid":"https://orcid.org/0009-0008-5567-0868","contributorId":334175,"corporation":false,"usgs":true,"family":"Shriver","given":"Laura","email":"","middleInitial":"Cecilia","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":926670,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mengelt, Claudia 0000-0001-7869-5170","orcid":"https://orcid.org/0000-0001-7869-5170","contributorId":304087,"corporation":false,"usgs":true,"family":"Mengelt","given":"Claudia","email":"","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":926671,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70263172,"text":"ofr20251001 - 2025 - Distribution, abundance, and breeding activities of the Southwestern Willow Flycatcher at Marine Corps Base Camp Pendleton, California—2023 Annual report","interactions":[],"lastModifiedDate":"2025-02-03T14:39:58.953901","indexId":"ofr20251001","displayToPublicDate":"2025-01-31T09:59:40","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-1001","displayTitle":"Distribution, Abundance, and Breeding Activities of the Southwestern Willow Flycatcher at Marine Corps Base Camp Pendleton, California—2023 Annual Report","title":"Distribution, abundance, and breeding activities of the Southwestern Willow Flycatcher at Marine Corps Base Camp Pendleton, California—2023 Annual report","docAbstract":"Executive Summary
The purpose of this report is to provide the Marine Corps with an annual summary of the distribution, abundance, and breeding activity of the endangered Southwestern Willow Flycatcher (Empidonax traillii extimus; flycatcher) at Marine Corps Base Camp Pendleton (MCBCP or “Base”). Surveys for the flycatcher were completed on Base between May 8 and July 26, 2023. All of MCBCP’s historically occupied riparian habitat (core survey area) was surveyed for flycatchers in 2023. None of the non-core survey areas were surveyed in 2023.
In 2023, 14 transient Willow Flycatchers of unknown subspecies were observed on two of the five drainages surveyed, the Santa Margarita River and San Mateo Creek. No Willow Flycatchers were detected at Fallbrook, Las Flores, or Pilgrim Creeks. Transients occurred in a range of habitat types, including mixed willow (Salix spp.) riparian, and riparian scrub. Exotic vegetation, primarily poison hemlock (Conium maculatum), was present in most of the flycatcher locations.
In 2023, the resident Southwestern Willow Flycatcher population on Base consisted of one unpaired female occupying one territory. No territorial males were observed in 2023. The resident flycatcher population was restricted to the Santa Margarita River, and distribution was limited to the Air Station breeding area. The resident flycatcher territory was in mixed willow riparian habitat.
Nesting was initiated in late June and continued into late July. One nesting attempt was documented, which was ultimately unsuccessful because of infertile eggs. No instances of Brown-headed Cowbird (Molothrus ater) parasitism were observed. The flycatcher nest was placed in native sandbar willow (Salix exigua).
For the first time since 2012, a flycatcher that was originally banded as a nestling on MCBCP returned and established a breeding territory in 2023. The nestling (female) was originally banded in 2020, making her 3 years old. No other uniquely banded adult flycatchers present in previous years returned to MCBCP in 2023. No new adults or nestlings were banded in 2023. None of the transients observed during surveys were seen to carry bands. From 2000 to 2023, the adult annual survival of Southwestern Willow Flycatchers on MCBCP was 60±3 percent, while first-year survival was 20±3 percent.
Two measures were initiated in recent years to attract and retain breeding flycatchers on MCBCP: a conspecific attraction playback study (initiated in 2018) and an artificial seep study (initiated in 2019); both were repeated annually through 2023. The female resident flycatcher detected in 2023 was observed within 110 meters (m) of an automated playback unit, and within 90 m of an artificial seep.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251001","collaboration":"Prepared in cooperation with Assistant Chief of Staff, Environmental Security, U.S. Marine Corps Base Camp Pendleton","programNote":"Ecosystems Mission Area—Species Management Research Program","usgsCitation":"Howell, S.L., and Kus, B.E., 2025, Distribution, abundance, and breeding activities of the Southwestern Willow Flycatcher at Marine Corps Base Camp Pendleton, California—2023 Annual report: U.S. Geological Survey Open-File Report 2025–1001, 33 p., https://doi.org/10.3133/ofr20251001.","productDescription":"viii, 33 p.","numberOfPages":"33","onlineOnly":"Y","ipdsId":"IP-164908","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":481516,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1001/covrthb.jpg"},{"id":481517,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1001/ofr20251001.pdf","text":"Report","size":"10 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":481518,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1001/ofr20251001.XML"},{"id":481519,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1001/images"},{"id":481520,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251001/full"}],"country":"United States","state":"California","otherGeospatial":"Marine Corps Base Camp Pendleton","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.39997901995842,\n 33.20348147161701\n ],\n [\n -117.25913148021745,\n 33.3055814745404\n ],\n [\n -117.27008142483484,\n 33.33303152823157\n ],\n [\n -117.30731123653293,\n 33.33486122440726\n ],\n [\n -117.30731123653293,\n 33.36778918278807\n ],\n [\n -117.25913148021745,\n 33.40436119178676\n ],\n [\n -117.50655552691597,\n 33.51394751731537\n ],\n [\n -117.51298257535665,\n 33.47148649549186\n ],\n [\n -117.58070842925882,\n 33.45548832290589\n ],\n [\n -117.60055243451835,\n 33.410365357587224\n ],\n [\n -117.59841600919324,\n 33.38298379275541\n ],\n [\n -117.49767651871517,\n 33.33176608587266\n ],\n [\n -117.39997901995842,\n 33.20348147161701\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
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","tableOfContents":"- Acknowledgments
- Executive Summary
- Introduction
- Study Area and Methods
- Results
- Discussion
- Conclusions
- References Cited
- Appendix 1. Southwestern Willow Flycatcher Survey Areas at Marine Corps Base Camp Pendleton, 2023
- Appendix 2. Locations of Willow Flycatchers at Marine Corps Base Camp Pendleton, 2023
- Appendix 3. Willow Flycatcher Detections at Marine Corps Base Camp Pendleton, by Drainage, 2000–23
- Appendix 4. Southwestern Willow Flycatcher Territory Locations at Marine Corps Base Camp Pendleton, 2023
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,{"id":70263917,"text":"70263917 - 2025 - Catastrophic lava flow levee failure: Precursors, processes, and implications","interactions":[],"lastModifiedDate":"2025-02-28T16:05:16.771799","indexId":"70263917","displayToPublicDate":"2025-01-31T09:56:57","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7593,"text":"Volcanica","active":true,"publicationSubtype":{"id":10}},"title":"Catastrophic lava flow levee failure: Precursors, processes, and implications","docAbstract":"During an effusive eruption crisis the initial advance of a lava flow is typically the primary focus of model forecasts and hazard management efforts. Flow branching and lateral expansion of lava flows can pose significant dangers within evolving flow fields throughout the duration of an eruption and are an underappreciated hazard. We use field monitoring, infrasound, time lapse imagery, and lidar data collected during the 2018 lower East Rift Zone eruption of Kīlauea (Hawai‘i) to track the origins, progression, and implications of a flow branching event caused by catastrophic levee failure. Our analyses show that surges in effusion rate, rheologic transitions between pāhoehoe and ‘a‘ā flow regimes, slope-breaks, pre-existing topographic highs, and the structure of perched levee walls all played a role in the failure of the levee and subsequent re-routing of the lava flow. Failure of perched lava structures leads to an acutely hazardous situation because lava impounded by the structure can rapidly inundate the landscape. This is the first time a levee failure event has been observed in such detail with numerous monitoring techniques; this unprecedented level of observation provides quantifiable insights into levee failure processes that have important implications for hazard mitigation and an improved understanding of lava flow emplacement dynamics.
","language":"English","publisher":"Presses universitaires de Strasbourg","doi":"10.30909/vol.08.01.6780","usgsCitation":"Gallant, E., Dietterich, H., Patrick, M.R., Hyman, D., Carr, B., Lyons, J.J., and Meredith, E.S., 2025, Catastrophic lava flow levee failure: Precursors, processes, and implications: Volcanica, v. 8, no. 1, p. 67-80, https://doi.org/10.30909/vol.08.01.6780.","productDescription":"14 p.","startPage":"67","endPage":"80","ipdsId":"IP-166006","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":487712,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.30909/vol.08.01.6780","text":"Publisher Index Page"},{"id":482644,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -154.9167,\n 19.5\n ],\n [\n -154.9167,\n 19.4333\n ],\n [\n -154.8,\n 19.4333\n ],\n [\n -154.8,\n 19.5\n ],\n [\n -154.9167,\n 19.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"8","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Gallant, Elisabeth 0000-0001-6841-3694","orcid":"https://orcid.org/0000-0001-6841-3694","contributorId":339872,"corporation":false,"usgs":false,"family":"Gallant","given":"Elisabeth","affiliations":[{"id":81292,"text":"University of Hawaiʻi at Hilo","active":true,"usgs":false}],"preferred":false,"id":929079,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dietterich, Hannah R. 0000-0001-7898-4343","orcid":"https://orcid.org/0000-0001-7898-4343","contributorId":212771,"corporation":false,"usgs":true,"family":"Dietterich","given":"Hannah R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":929080,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patrick, Matthew R. 0000-0002-8042-6639 mpatrick@usgs.gov","orcid":"https://orcid.org/0000-0002-8042-6639","contributorId":2070,"corporation":false,"usgs":true,"family":"Patrick","given":"Matthew","email":"mpatrick@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":929081,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hyman, David Matthew 0000-0002-9607-7584","orcid":"https://orcid.org/0000-0002-9607-7584","contributorId":351609,"corporation":false,"usgs":true,"family":"Hyman","given":"David Matthew","affiliations":[{"id":38128,"text":"Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":929082,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carr, Brett B 0000-0002-1033-3082","orcid":"https://orcid.org/0000-0002-1033-3082","contributorId":251755,"corporation":false,"usgs":false,"family":"Carr","given":"Brett B","affiliations":[{"id":17701,"text":"Lamont-Doherty Earth Observatory","active":true,"usgs":false}],"preferred":false,"id":929083,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lyons, John J. 0000-0001-5409-1698 jlyons@usgs.gov","orcid":"https://orcid.org/0000-0001-5409-1698","contributorId":5394,"corporation":false,"usgs":true,"family":"Lyons","given":"John","email":"jlyons@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":929084,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Meredith, Elinor S. 0000-0002-3869-1180","orcid":"https://orcid.org/0000-0002-3869-1180","contributorId":270269,"corporation":false,"usgs":false,"family":"Meredith","given":"Elinor","email":"","middleInitial":"S.","affiliations":[{"id":56128,"text":"Earth Observatory of Singapore, Singapore","active":true,"usgs":false}],"preferred":false,"id":929085,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70262093,"text":"mcs2025 - 2025 - Mineral commodity summaries 2025","interactions":[],"lastModifiedDate":"2025-07-21T17:56:01.157799","indexId":"mcs2025","displayToPublicDate":"2025-01-31T09:53:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":323,"text":"Mineral Commodity Summaries","code":"MCS","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025","displayTitle":"Mineral Commodity Summaries 2025","title":"Mineral commodity summaries 2025","docAbstract":"Introduction
Each mineral commodity chapter of the 2025 edition of the U.S. Geological Survey (USGS) Mineral Commodity Summaries (MCS) includes information on events, trends, and issues for each mineral commodity as well as discussions and tabular presentations on domestic industry structure, Government programs, tariffs, 5-year salient statistics, and world production, reserves, and resources. The MCS is the earliest comprehensive source of 2024 mineral production data for the world. More than 90 individual minerals and materials are covered by two-page synopses.
Abbreviations and units of measure and definitions of selected terms used in the report are in Appendix A and Appendix B, respectively. Reserves and resources information is in Appendix C, which includes “Part A—Resource and Reserve Classification for Minerals” and “Part B—Sources of Reserves Data.” A directory of USGS minerals information country specialists and their responsibilities is in Appendix D.
The USGS continually strives to improve the value of its publications to users. Constructive comments and suggestions by readers of the MCS 2025 are welcomed.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/mcs2025","isbn":"978-1-4113-4595-9","usgsCitation":"U.S. Geological Survey, 2025, Mineral commodity summaries 2025 (ver. 1.2, March 2025): U.S. Geological Survey, 212 p., https://doi.org/10.3133/mcs2025.","productDescription":"Report: 212 p.; Data Release; Data Visualization","numberOfPages":"212","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-174629","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":466159,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/periodicals/mcs2025/coverthb5.jpg"},{"id":492673,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118405.htm","linkFileType":{"id":5,"text":"html"}},{"id":482406,"rank":7,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/periodicals/mcs2025/versionHist.txt","size":"2.43 KB","linkFileType":{"id":2,"text":"txt"}},{"id":466209,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13XCP3R","text":"USGS data release"},{"id":466208,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://www.usgs.gov/centers/national-minerals-information-center/commodity-statistics-and-information","text":"Commodity Statistics and Information"},{"id":466207,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://www.usgs.gov/centers/national-minerals-information-center/mineral-commodity-summaries","text":"Mineral Commodity Summaries Prior to 2025"},{"id":466210,"rank":6,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://tableau.usgs.gov/views/MCS2025_Workbook_01-28-2025_Public/MCSDashboard?%3Aembed=y&%3Aiid=1&%3AisGuestRedirectFromVizportal=y","text":"Data visualization"},{"id":466206,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/periodicals/mcs2025/mcs2025.pdf","text":"Report","size":"9.94 MB","linkFileType":{"id":1,"text":"pdf"},"description":"MCS 2025 PDF"}],"edition":"Version 1.0: January 31, 2025; Version 1.1: February 25, 2025; Version 1.2: March 3, 2025","contact":"Director, National Minerals Information Center
U.S. Geological Survey
12201 Sunrise Valley Drive
988 National Center
Reston, VA 20192
Email: nmicrecordsmgt@usgs.gov
","tableOfContents":"- Introduction
- Figure 1—The Role of Nonfuel Mineral Commodities in the U.S. Economy
- Significant Events, Trends, and Issues
- Figure 2—2024 U.S. Net Import Reliance
- Figure 3—Leading Import Sources (2020–23) of Nonfuel Mineral Commodities
- Table 1—U.S. Mineral Industry Trends
- Table 2—U.S. Mineral-Related Economic Trends
- Table 3—Value of Nonfuel Mineral Production in the United States in 2024
- Figures 4–8—Value of Nonfuel Minerals Produced in 2024
- Table 4—The 2022 U.S. Critical Minerals List
- U.S. Critical Minerals Update
- Table 5—Salient Critical Minerals Statistics in 2024
- Figure 9—20-Year Trend of U.S. Net Import Reliance for Critical Minerals
- Figure 10—Estimated 1-Year Percent Change and 5-Year Compound Annual Growth Rate in Prices of Critical Minerals
- Figures 11–12—Changes in U.S. Consumption of Nonfuel Mineral Commodities
- Figure 13—Value of Old Scrap Domestically Recycled, Imported, and Exported
- Figure 14—Relation Between Byproduct Elements and Host Metals
- Mineral Commodities
- Appendix A—Abbreviations and Units of Measure
- Appendix B—Definitions of Selected Terms Used in This Report
- Appendix C—Reserves and Resources
- Appendix D—Country Specialists Directory
","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2025-01-31","revisedDate":"2025-03-03","noUsgsAuthors":false,"publicationDate":"2025-01-31","publicationStatus":"PW","contributors":{"authors":[{"text":"U.S. Geological Survey","contributorId":128037,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey","id":923199,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70264269,"text":"70264269 - 2025 - Climate change impacts and adaptation in U.S. Rocky Mountain high-elevation ecosystems","interactions":[],"lastModifiedDate":"2025-03-10T14:36:34.393735","indexId":"70264269","displayToPublicDate":"2025-01-31T09:35:49","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":899,"text":"Arctic, Antarctic, and Alpine Research","active":true,"publicationSubtype":{"id":10}},"title":"Climate change impacts and adaptation in U.S. Rocky Mountain high-elevation ecosystems","docAbstract":"From a resource management perspective, climate change is considered to be one of the main threats to high-elevation ecosystems. However, these valuable ecosystems present unique challenges to climate change adaptation (actions in response to environmental change and its effects in a way that seeks to reduce harm) due to their rugged and remote characteristics. Within this context, we summarized literature on climate change impacts and adaptation actions across U.S. Rocky Mountain high-elevation ecosystems to address the important question: What are the knowledge gaps for climate change responses within this ecosystem that limit the ability of natural resource managers to perform successful climate change adaptation? In addressing this question, we focus specifically on the U.S. Rocky Mountains but also place regional conclusions for climate change adaptation in high-elevation ecosystems into a broader context. Overall, we found that the complex topography and temporally variable climate of mountains promote potential refugia that may buffer alpine obligate species in the near-term but also challenge resource managers to consider biological lags within this ecosystem.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/15230430.2025.2450089","usgsCitation":"Oldfather, M.F., Ennis, A., Miller, B.W., Clark-Wolf, K., Rangwala, I., Robe, H., and Littlefield, C., 2025, Climate change impacts and adaptation in U.S. Rocky Mountain high-elevation ecosystems: Arctic, Antarctic, and Alpine Research, v. 57, no. 1, 2450089, 14 p., https://doi.org/10.1080/15230430.2025.2450089.","productDescription":"2450089, 14 p.","ipdsId":"IP-165166","costCenters":[{"id":40927,"text":"North Central Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":487765,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/15230430.2025.2450089","text":"Publisher Index Page"},{"id":483136,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Idaho, Montana, New Mexico, 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\"}}]}","volume":"57","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Oldfather, Meagan Ford 0000-0003-3256-4786","orcid":"https://orcid.org/0000-0003-3256-4786","contributorId":331767,"corporation":false,"usgs":true,"family":"Oldfather","given":"Meagan","email":"","middleInitial":"Ford","affiliations":[{"id":40927,"text":"North Central Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":930222,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ennis, Alyson","contributorId":352211,"corporation":false,"usgs":false,"family":"Ennis","given":"Alyson","affiliations":[],"preferred":false,"id":930288,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Brian W. 0000-0003-1716-1161","orcid":"https://orcid.org/0000-0003-1716-1161","contributorId":196603,"corporation":false,"usgs":true,"family":"Miller","given":"Brian","email":"","middleInitial":"W.","affiliations":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":930292,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clark-Wolf, Kyra 0000-0003-4584-0348","orcid":"https://orcid.org/0000-0003-4584-0348","contributorId":352214,"corporation":false,"usgs":false,"family":"Clark-Wolf","given":"Kyra","affiliations":[],"preferred":false,"id":930293,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rangwala, Imtiaz 0000-0002-4313-9374","orcid":"https://orcid.org/0000-0002-4313-9374","contributorId":148973,"corporation":false,"usgs":false,"family":"Rangwala","given":"Imtiaz","email":"","affiliations":[{"id":34534,"text":"Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado","active":true,"usgs":false}],"preferred":true,"id":930297,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Robe, Hailey","contributorId":352215,"corporation":false,"usgs":false,"family":"Robe","given":"Hailey","affiliations":[],"preferred":false,"id":930298,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Littlefield, Caitlin","contributorId":352216,"corporation":false,"usgs":false,"family":"Littlefield","given":"Caitlin","affiliations":[],"preferred":false,"id":930299,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70266323,"text":"70266323 - 2025 - Prion gene sequencing in Florida panthers (Puma concolor coryi) suggests no differential susceptibility to transmissible spongiform encephalopathy","interactions":[],"lastModifiedDate":"2025-05-05T14:34:45.743013","indexId":"70266323","displayToPublicDate":"2025-01-31T09:29:07","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Prion gene sequencing in Florida panthers (Puma concolor coryi) suggests no differential susceptibility to transmissible spongiform encephalopathy","title":"Prion gene sequencing in Florida panthers (Puma concolor coryi) suggests no differential susceptibility to transmissible spongiform encephalopathy","docAbstract":"Transmissible spongiform encephalopathy, or prion disease, poses a serious threat to wildlife; however, the susceptibility of apex predators is still being assessed. We investigated variation in the prion protein gene in Florida panthers (Puma concolor coryi) and found that admixture from Central American pumas probably introduced a novel, albeit benign, prion allele.
","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/jwd-d-24-00058","usgsCitation":"Sharkey, E., Onorato, D., Roelke-Parker, M., Ochoa, A., Culver, M., and Fitak, R., 2025, Prion gene sequencing in Florida panthers (Puma concolor coryi) suggests no differential susceptibility to transmissible spongiform encephalopathy: Journal of Wildlife Diseases, v. 61, no. 1, p. 262-266, https://doi.org/10.7589/jwd-d-24-00058.","productDescription":"5 p.","startPage":"262","endPage":"266","ipdsId":"IP-166339","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":498001,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7589/jwd-d-24-00058","text":"Publisher Index Page"},{"id":485375,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"61","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Sharkey, Elizabeth","contributorId":354413,"corporation":false,"usgs":false,"family":"Sharkey","given":"Elizabeth","affiliations":[{"id":18879,"text":"University of Central Florida","active":true,"usgs":false}],"preferred":false,"id":935600,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Onorato, David P.","contributorId":354414,"corporation":false,"usgs":false,"family":"Onorato","given":"David P.","affiliations":[{"id":18879,"text":"University of Central Florida","active":true,"usgs":false}],"preferred":false,"id":935601,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roelke-Parker, Melody E.","contributorId":354415,"corporation":false,"usgs":false,"family":"Roelke-Parker","given":"Melody E.","affiliations":[{"id":84628,"text":"Frederick National Laboratory for Cancer Research","active":true,"usgs":false}],"preferred":false,"id":935602,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ochoa, Alexander","contributorId":354416,"corporation":false,"usgs":false,"family":"Ochoa","given":"Alexander","affiliations":[{"id":18879,"text":"University of Central Florida","active":true,"usgs":false}],"preferred":false,"id":935603,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Culver, Melanie 0000-0001-5380-3059 mculver@usgs.gov","orcid":"https://orcid.org/0000-0001-5380-3059","contributorId":197693,"corporation":false,"usgs":true,"family":"Culver","given":"Melanie","email":"mculver@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":935604,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fitak, Robert R.","contributorId":354417,"corporation":false,"usgs":false,"family":"Fitak","given":"Robert R.","affiliations":[{"id":18879,"text":"University of Central Florida","active":true,"usgs":false}],"preferred":false,"id":935605,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70263923,"text":"70263923 - 2025 - Abundance of microplastics in a typical urban wetland in China: Association with occurrence and carbon storage","interactions":[],"lastModifiedDate":"2025-02-28T15:27:45.199609","indexId":"70263923","displayToPublicDate":"2025-01-31T09:24:26","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2331,"text":"Journal of Hazardous Materials","active":true,"publicationSubtype":{"id":10}},"title":"Abundance of microplastics in a typical urban wetland in China: Association with occurrence and carbon storage","docAbstract":"Microplastics (MPs) are gaining attention for their widespread presence and toxicity in ecosystems. However, their role as a carbon source in urban wetland carbon sinks is still unclear. In this study, the microplastic-carbon (MP-C) was firstly quantified based on the abundance and occurrence characteristics, including MP morphology, size and type in the Sanyang Wetland, a typical urban wetland of China. MP abundances ranged from 2.4 ± 0.6–14.9 ± 1.5 items/L in surface water and 6.6 ± 1.2 × 103 to 46.3 ± 5.9 × 103 items/kg in sediment. The predominant morphological characterization of MPs was fragments smaller than 200 μm in size, consisting of PP, PE, and PET, which suggests that the main source was domestic wastewater discharge nearby. Notably, in the Sanyang wetland, the contribution of MP-C to total organic carbon (TOC) was estimated to be 0.023![\"single](\"https://sdfestaticassets-us-east-1.sciencedirectassets.com/shared-assets/55/entities/sbnd.gif\")
0.20 % in water and 0.0260.28 % in sediment. With the continuous production of plastics globally, these values were predicted to increase to 0.12 0.71 % and 0.83 4.12 % by 2100, respectively. Although the estimations relied on simplified geometric assumptions for MP volume and theoretical carbon content, these approaches provide a reasonable basis for understanding MP-C dynamics in wetlands under current analytical constraints. The integration of MP-C characterization during environmental monitoring and management strategies would enhance our understanding of MP pollution's role in the carbon cycle.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhazmat.2025.137451","usgsCitation":"Zhang, H., Pu, M., Zheng, M., Xu, B., Magnuson, J.T., Chen, Q., Xu, X., Zheng, X., Zhao, M., and Qiu, W., 2025, Abundance of microplastics in a typical urban wetland in China: Association with occurrence and carbon storage: Journal of Hazardous Materials, v. 488, 137451, 11 p., https://doi.org/10.1016/j.jhazmat.2025.137451.","productDescription":"137451, 11 p.","ipdsId":"IP-172308","costCenters":[{"id":192,"text":"Columbia Environmental Research 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Haowen","contributorId":351611,"corporation":false,"usgs":false,"family":"Zhang","given":"Haowen","affiliations":[{"id":84012,"text":"Wenzhou University, China","active":true,"usgs":false}],"preferred":false,"id":929104,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pu, Mengjie","contributorId":351612,"corporation":false,"usgs":false,"family":"Pu","given":"Mengjie","affiliations":[{"id":84013,"text":"South China Normal University, China","active":true,"usgs":false}],"preferred":false,"id":929105,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zheng, Ming","contributorId":351613,"corporation":false,"usgs":false,"family":"Zheng","given":"Ming","affiliations":[{"id":84014,"text":"Shanghai University, China","active":true,"usgs":false}],"preferred":false,"id":929106,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Xu, Bentuo","contributorId":329839,"corporation":false,"usgs":false,"family":"Xu","given":"Bentuo","email":"","affiliations":[{"id":78729,"text":"Wenzhou University","active":true,"usgs":false}],"preferred":false,"id":929107,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Magnuson, Jason Tyler 0000-0001-6841-8014","orcid":"https://orcid.org/0000-0001-6841-8014","contributorId":329838,"corporation":false,"usgs":true,"family":"Magnuson","given":"Jason","email":"","middleInitial":"Tyler","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":929108,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chen, Qiqing","contributorId":334796,"corporation":false,"usgs":false,"family":"Chen","given":"Qiqing","email":"","affiliations":[{"id":80250,"text":"Ed Ningbo Hangzhou Bay Hospital, China","active":true,"usgs":false}],"preferred":false,"id":929109,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Xu, Xiangrong","contributorId":351614,"corporation":false,"usgs":false,"family":"Xu","given":"Xiangrong","affiliations":[{"id":84015,"text":"Guangxi University, China","active":true,"usgs":false}],"preferred":false,"id":929110,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zheng, Xiangyong","contributorId":351615,"corporation":false,"usgs":false,"family":"Zheng","given":"Xiangyong","affiliations":[{"id":84012,"text":"Wenzhou University, China","active":true,"usgs":false}],"preferred":false,"id":929111,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Zhao, Ming","contributorId":295823,"corporation":false,"usgs":false,"family":"Zhao","given":"Ming","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":929112,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Qiu, Wenhui","contributorId":334797,"corporation":false,"usgs":false,"family":"Qiu","given":"Wenhui","email":"","affiliations":[{"id":80251,"text":"Southern University of Science and Technology, China","active":true,"usgs":false}],"preferred":false,"id":929113,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70263883,"text":"70263883 - 2025 - Refined mapping of subsurface water ice on Mars to support future missions","interactions":[],"lastModifiedDate":"2025-02-27T15:21:16.10097","indexId":"70263883","displayToPublicDate":"2025-01-31T09:16:34","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8607,"text":"The Planetary Science Journal","active":true,"publicationSubtype":{"id":10}},"title":"Refined mapping of subsurface water ice on Mars to support future missions","docAbstract":"Mars has an extensive yet poorly understood cryosphere. Nevertheless, both direct and indirect evidence indicates extensive buried ice across the midlatitudes, including locations where it is presently unstable. While much progress has been made in exploring the processes responsible for ice deposition and preservation during recent climatic fluctuations, a global assessment of the multiple ice reservoirs remains elusive. Motivated by science and the need to find suitable human landing sites, the Mars Subsurface Water Ice Mapping (SWIM) project has developed techniques to map out buried ice. Through integration of all appropriate orbital data sets, the SWIM project produces ∼3 km pixel−1 ice consistency maps over depth ranges of 0–1 m, 1–5 m, and >5 m. In concert with other studies, prior SWIM phases have recognized the uncertainty in our understanding of the geographic and vertical distribution of ice, especially between depths of 1 m and 10 m, creating a push for new ice-prospecting orbital missions, such as the International Mars Ice Mapper mission concept. Here we document the latest SWIM phase, which provides notional targeting maps of the lowest-latitude ice for future missions via a significant improvement in the geomorphic component of our work. The new mapping incorporates both an enhancement in our mapping of geomorphic features and surveys of thermal contraction crack polygons. Our results demonstrate the highly variable nature of the spatial distribution of the shallowest ground ice, with the most equatorward excursions occurring below 30° latitude N/S, locations thought to be out of equilibrium with the current climate.
","language":"English","publisher":"American Astronomical Society","doi":"10.3847/PSJ/ad9b24","usgsCitation":"Morgan, G.A., Putzig, N.E., Baker, D.M., Pathare, A., Dundas, C., Russell, M., Perry, M.R., Chojnacki, M., Sizemore, H.G., Bramson, A.M., Petersen, E.I., Nerozzi, S., Hoover, R.H., and Bain, Z.M., 2025, Refined mapping of subsurface water ice on Mars to support future missions: The Planetary Science Journal, v. 6, no. 2, 29, 19 p., https://doi.org/10.3847/PSJ/ad9b24.","productDescription":"29, 19 p.","ipdsId":"IP-162554","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":487700,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3847/psj/ad9b24","text":"Publisher Index Page"},{"id":482557,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"6","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-01-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Morgan, Gareth A 0000-0002-9513-8736","orcid":"https://orcid.org/0000-0002-9513-8736","contributorId":229487,"corporation":false,"usgs":false,"family":"Morgan","given":"Gareth","email":"","middleInitial":"A","affiliations":[{"id":24584,"text":"PSI","active":true,"usgs":false}],"preferred":false,"id":928868,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Putzig, Nathaniel E","contributorId":269987,"corporation":false,"usgs":false,"family":"Putzig","given":"Nathaniel","email":"","middleInitial":"E","affiliations":[{"id":24584,"text":"PSI","active":true,"usgs":false}],"preferred":false,"id":928869,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baker, David M H","contributorId":237029,"corporation":false,"usgs":false,"family":"Baker","given":"David","email":"","middleInitial":"M H","affiliations":[{"id":47589,"text":"NASA Goddard Research Center","active":true,"usgs":false}],"preferred":false,"id":928870,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pathare, Asmin E.","contributorId":351547,"corporation":false,"usgs":false,"family":"Pathare","given":"Asmin E.","affiliations":[{"id":13179,"text":"Planetary Science Institute","active":true,"usgs":false}],"preferred":false,"id":928871,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dundas, Colin M. 0000-0003-2343-7224","orcid":"https://orcid.org/0000-0003-2343-7224","contributorId":237028,"corporation":false,"usgs":true,"family":"Dundas","given":"Colin M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":928872,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Russell, Megan","contributorId":351548,"corporation":false,"usgs":false,"family":"Russell","given":"Megan","affiliations":[{"id":13179,"text":"Planetary Science Institute","active":true,"usgs":false}],"preferred":false,"id":928873,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Perry, Matthew R","contributorId":229488,"corporation":false,"usgs":false,"family":"Perry","given":"Matthew","email":"","middleInitial":"R","affiliations":[{"id":24584,"text":"PSI","active":true,"usgs":false}],"preferred":false,"id":928874,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chojnacki, Matthew 0000-0001-8497-8994","orcid":"https://orcid.org/0000-0001-8497-8994","contributorId":296931,"corporation":false,"usgs":false,"family":"Chojnacki","given":"Matthew","email":"","affiliations":[{"id":64240,"text":"Planetary Science Institute, Lakewood, CO, USA","active":true,"usgs":false}],"preferred":false,"id":928875,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sizemore, Hanna G 0000-0002-6641-2388","orcid":"https://orcid.org/0000-0002-6641-2388","contributorId":229472,"corporation":false,"usgs":false,"family":"Sizemore","given":"Hanna","email":"","middleInitial":"G","affiliations":[{"id":24584,"text":"PSI","active":true,"usgs":false}],"preferred":false,"id":928876,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bramson, Ali M 0000-0003-4903-0916","orcid":"https://orcid.org/0000-0003-4903-0916","contributorId":201618,"corporation":false,"usgs":false,"family":"Bramson","given":"Ali","email":"","middleInitial":"M","affiliations":[{"id":27205,"text":"U. Arizona","active":true,"usgs":false}],"preferred":false,"id":928877,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Petersen, Eric I","contributorId":229489,"corporation":false,"usgs":false,"family":"Petersen","given":"Eric","email":"","middleInitial":"I","affiliations":[{"id":41657,"text":"U. Arizona / U. Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":928878,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Nerozzi, Stefano","contributorId":267382,"corporation":false,"usgs":false,"family":"Nerozzi","given":"Stefano","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":928879,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Hoover, Rachel H","contributorId":269994,"corporation":false,"usgs":false,"family":"Hoover","given":"Rachel","email":"","middleInitial":"H","affiliations":[{"id":41659,"text":"SWRI","active":true,"usgs":false}],"preferred":false,"id":928880,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Bain, Zachary M","contributorId":293261,"corporation":false,"usgs":false,"family":"Bain","given":"Zachary","email":"","middleInitial":"M","affiliations":[{"id":24584,"text":"PSI","active":true,"usgs":false}],"preferred":false,"id":928881,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70265497,"text":"70265497 - 2025 - Myiasis infection by the toad fly (Lucilia bufonivora; Calliphoidae) in amphibians in Montana, USA","interactions":[],"lastModifiedDate":"2025-04-08T15:30:56.957189","indexId":"70265497","displayToPublicDate":"2025-01-31T08:25:13","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Myiasis infection by the toad fly (Lucilia bufonivora; Calliphoidae) in amphibians in Montana, USA","docAbstract":"Toad flies in the genus Lucilia (previously referred to as Bufolucilia spp.) parasitize and cause myiasis in several amphibian species in North America. From 2019 to 2022, we documented Lucilia bufonivora infections in post-metamorphic western toads (Anaxyrus boreas) during amphibian surveys in four wetlands in Glacier National Park, Montana, US. We found nine infected adult toads in 2019, seven infected adults in 2020, one infected juvenile in 2021, and five infected adults plus one infected juvenile in 2022. We also captured Columbia spotted frogs (Rana luteiventris) during these same surveys but detected no infections. Only one of the four wetlands had infected toads in 2019, despite their proximity and hydrologic connectivity, but two of these wetlands had infections in 2020, and a third had a single infection in 2021. The same three of four wetlands had infections in 2022. In 2008, a similar parasitic infection in one western toad had been noted at the same wetland as in 2019. That toad had been captured again two years later without signs of infection.
","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/JWD-D-24-00066","usgsCitation":"Fischer, L., and Hossack, B., 2025, Myiasis infection by the toad fly (Lucilia bufonivora; Calliphoidae) in amphibians in Montana, USA: Journal of Wildlife Diseases, v. 61, no. 1, p. 206-2011, https://doi.org/10.7589/JWD-D-24-00066.","productDescription":"6 p.","startPage":"206","endPage":"2011","ipdsId":"IP-165212","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":484332,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Glacier National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -114.31542629184875,\n 48.99439796903869\n ],\n [\n -114.31542629184875,\n 48.51117768811824\n ],\n [\n -113.42667525702582,\n 48.51117768811824\n ],\n [\n -113.42667525702582,\n 48.99439796903869\n ],\n [\n -114.31542629184875,\n 48.99439796903869\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"61","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fischer, Leah M.","contributorId":353074,"corporation":false,"usgs":false,"family":"Fischer","given":"Leah M.","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":932828,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hossack, Blake R. 0000-0001-7456-9564","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":229347,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":932829,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70263196,"text":"70263196 - 2025 - Quantifying the effect of petrogenic carbon on SOC turnover for two Rocky Mountain soils: When are petrogenic carbon corrections required?","interactions":[],"lastModifiedDate":"2025-02-03T15:16:10.140922","indexId":"70263196","displayToPublicDate":"2025-01-31T08:10:51","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying the effect of petrogenic carbon on SOC turnover for two Rocky Mountain soils: When are petrogenic carbon corrections required?","docAbstract":"Petrogenic organic carbon (OCpetro), derived from sedimentary rocks, is an often overlooked and poorly quantified source of soil organic carbon (SOC), which may influence measured or modeled SOC composition, age, and stability. In this study, we exploited differences in thermochemical stability between OCpetro and biogenic SOC (OCbio) using stepped elemental analysis to quantify the fractional contribution of OCpetro to total SOC (fpetro), and we conducted a sensitivity analysis to estimate the effects of OCpetro on modeled SOC transit times and system ages. Specifically, we compared the effects of accounting for OCpetro inputs in SOC turnover modeling (using SoilR) for two montane meadow soils that are underlain by Cretaceous Mancos Shale. At these sites, we estimate that OCpetro comprises 7%–9% of the total SOC stock (fpetro = 0.07–0.09). However, accounting for OCpetro as a mixture of inert and passive C or as completely inert C had negligible effects on SOC transit times and system ages, suggesting that there is a threshold of OCpetro content under which there is minimal effect on calculated SOC turnover. Based on our sensitivity analysis, we estimate this threshold to be fpetro = 0.125, further supporting that the accurate calculation of OCpetro remains an important factor in estimating SOC turnover.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023JG007838","usgsCitation":"Williams, E.K., and Lawrence, C., 2025, Quantifying the effect of petrogenic carbon on SOC turnover for two Rocky Mountain soils: When are petrogenic carbon corrections required?: Journal of Geophysical Research: Biogeosciences, v. 130, no. 2, e2023JG007838, 16 p., https://doi.org/10.1029/2023JG007838.","productDescription":"e2023JG007838, 16 p.","ipdsId":"IP-157028","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":487609,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023jg007838","text":"Publisher Index Page"},{"id":481994,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9NI8OWJ","text":"USGS data release","linkHelpText":"Petrogenic organic carbon estimates for two Rocky Mountain soils underlain by Cretaceous Mancos Shale"},{"id":481603,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Elk Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -107.32317289244807,\n 39.29883823943584\n ],\n [\n -107.32317289244807,\n 38.80751849901759\n ],\n [\n -106.43771612889955,\n 38.80751849901759\n ],\n [\n -106.43771612889955,\n 39.29883823943584\n ],\n [\n -107.32317289244807,\n 39.29883823943584\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"130","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-01-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Williams, Elizabeth Kellisha 0000-0002-4863-9204","orcid":"https://orcid.org/0000-0002-4863-9204","contributorId":344970,"corporation":false,"usgs":true,"family":"Williams","given":"Elizabeth","email":"","middleInitial":"Kellisha","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":925888,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lawrence, Corey 0000-0001-6143-7781","orcid":"https://orcid.org/0000-0001-6143-7781","contributorId":219251,"corporation":false,"usgs":true,"family":"Lawrence","given":"Corey","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":925889,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70263171,"text":"fs20253005 - 2025 - Using machine learning in Minnesota’s StreamStats to predict fluvial sediment","interactions":[],"lastModifiedDate":"2025-07-21T17:54:12.663669","indexId":"fs20253005","displayToPublicDate":"2025-01-30T14:39:06","publicationYear":"2025","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":"2025-3005","displayTitle":"Using Machine Learning in Minnesota’s StreamStats to Predict Fluvial Sediment","title":"Using machine learning in Minnesota’s StreamStats to predict fluvial sediment","docAbstract":"A thorough understanding of fluvial sediment transport is essential for addressing key environmental issues such as aquatic habitat degradation, flooding, excess nutrients, and challenges with river restoration. Fluvial sediment samples are valuable for addressing these concerns, but their collection is often impractical across all rivers and timeframes of interest. In addition, previously used analytical and numerical methods have not allowed for the transfer of knowledge from sites that have data to sites that do not have data. To overcome this limitation, the U.S. Geological Survey developed machine learning models to predict suspended-sediment concentrations and bedload transport in Minnesota rivers that lack physical sediment data and integrated them into the U.S. Geological Survey StreamStats web application.
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\"}}]}","contact":"Director, Upper Midwest Water Science Center
U.S. Geological Survey
2280 Woodale Drive
Mounds View, MN 55112
Contact Pubs Warehouse
","tableOfContents":"- Introduction
- Objective
- Machine Learning Models for Fluvial Sediment Prediction
- StreamStats Integration
- Sediment Monitoring in Minnesota
- Summary
- Acknowledgements
- References Cited
","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2025-01-30","noUsgsAuthors":false,"publicationDate":"2025-01-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Groten, Joel T. 0000-0002-0441-8442 jgroten@usgs.gov","orcid":"https://orcid.org/0000-0002-0441-8442","contributorId":173464,"corporation":false,"usgs":true,"family":"Groten","given":"Joel","email":"jgroten@usgs.gov","middleInitial":"T.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":925755,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lund, J. William 0000-0002-8830-4468","orcid":"https://orcid.org/0000-0002-8830-4468","contributorId":289132,"corporation":false,"usgs":true,"family":"Lund","given":"J. William","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":925756,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coenen, Erin N. 0000-0003-2470-3854","orcid":"https://orcid.org/0000-0003-2470-3854","contributorId":211159,"corporation":false,"usgs":true,"family":"Coenen","given":"Erin N.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":925757,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Medenblik, Andrea 0000-0003-2806-7541","orcid":"https://orcid.org/0000-0003-2806-7541","contributorId":216586,"corporation":false,"usgs":true,"family":"Medenblik","given":"Andrea","email":"","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":925758,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wavra, Harper N. 0000-0001-5688-902X","orcid":"https://orcid.org/0000-0001-5688-902X","contributorId":292171,"corporation":false,"usgs":true,"family":"Wavra","given":"Harper","email":"","middleInitial":"N.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":925759,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kennedy, Mike","contributorId":339478,"corporation":false,"usgs":false,"family":"Kennedy","given":"Mike","email":"","affiliations":[{"id":13330,"text":"Minnesota Pollution Control Agency","active":true,"usgs":false}],"preferred":false,"id":925760,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, Gregory D.","contributorId":201568,"corporation":false,"usgs":false,"family":"Johnson","given":"Gregory","email":"","middleInitial":"D.","affiliations":[{"id":13330,"text":"Minnesota Pollution Control Agency","active":true,"usgs":false}],"preferred":false,"id":925761,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70263110,"text":"ofr20241081 - 2025 - Proceedings of the 2024 Asia-Pacific Wildlife Health Workshop—Collaborating against shared threats","interactions":[],"lastModifiedDate":"2025-01-31T14:45:30.129101","indexId":"ofr20241081","displayToPublicDate":"2025-01-30T12:04:59","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-1081","displayTitle":"Proceedings of the 2024 Asia-Pacific Wildlife Health Workshop—Collaborating Against Shared Threats","title":"Proceedings of the 2024 Asia-Pacific Wildlife Health Workshop—Collaborating against shared threats","docAbstract":"Emerging diseases of wildlife origin are increasingly transboundary (they spread rapidly across geographic regions and across continents). In recent years, examples include the rapid spread of African swine fever across Europe and Asia with negative effects on food security, and the near global spread of highly pathogenic avian influenza which has devastated wildlife populations, caused economic harm, and which threatens public health; consequently, international partnerships and networks are essential to facilitate the sharing of information for improved situational awareness and better preparedness and response. In this regard, the U.S. Geological Survey and the Korea National Institute for Wildlife Disease Control and Prevention have had a long-standing partnership to foster scientific collaboration. A key part of the activities has been annual scientific workshops, which commenced in 2016.
The 2024 workshop in Hilo, Hawaii, was the most recent in these series of workshops and included participants from across Asia and the Pacific region, including Thailand, Vietnam, China, Republic of Korea, Japan, Australia, Cook Islands, Fiji, and the United States. The goals of the workshop were:
- to continue to build the wildlife health community of practice in the Asia-Pacific region and expand the participants to agencies and institutions from other countries in the region; and
- exchange scientific knowledge among the participants to share best practices, create scientific networks, and build capacity in wildlife health science for the Asia-Pacific region.
The themes discussed at the workshop included wildlife health risk management, avian Influenza, African swine fever, climate change and emerging diseases, and international cooperation. This report contains the author-submitted abstracts which provide a summary of the presentations and discussions during the workshop. The aim is to share this information to continue to foster international scientific exchange to protect wildlife health, livestock, and public health from the negative impacts of infectious and noninfectious diseases.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241081","collaboration":"Prepared in cooperation with Korea National Institute for Wildlife Disease Control and Prevention and Wildlife Health Australia","usgsCitation":"Sleeman, J.M., comp., 2025, Proceedings of the 2024 Asia-Pacific Wildlife Health Workshop—Collaborating against shared threats: U.S. Geological Survey Open-File Report 2024-1081, 23 p., https://doi.org/10.3133/ofr20241081.","productDescription":"vii, 23 p.","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-168710","costCenters":[{"id":82110,"text":"Midcontinent Regional Director's Office","active":true,"usgs":true}],"links":[{"id":481468,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1081/coverthb.jpg"},{"id":481469,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1081/ofr20241081.pdf","text":"Report","size":"2.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024–1081"},{"id":481470,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1081/ofr20241081.XML"},{"id":481471,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1081/images/"},{"id":481472,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241081/full"}],"contact":"Director, Midcontinent Region
U.S. Geological Survey
1992 Folwell Ave.
St. Paul, MN 55108
Contact Pubs Warehouse
","tableOfContents":"- Preface
- Introducing the Wildlife Health Australia Collaborating Centre in Wildlife Health Risk Management—Working Regionally in the Interests of Australia’s Biosecurity and Biodiversity Resilience
- Animal Health Capacity Building—The Role of Para-Vets in Animal Biosecurity for the Pacific Region
- Collaborations Between Biologists and Veterinarians Yield Insights into Marine Turtle Fibropapillomatosis
- Mitigating Transboundary Emerging Infectious Diseases—Wildlife and One Health Sustainability
- System-Wide Approach to Wildlife Health Capacity Enhancement in Southeast Asia
- The Integration of One Health Assets to Counter Public Health Threats in the Indo-Pacific
- New Zealand Biosecurity and Wildlife Surveillance
- Wildlife Health Risk Management—The Importance of Wildlife Health for One Health Outcomes
- Introduction to Korea's Wild Bird Avian Influenza Policy
- Surveillance of Highly Pathogenic Avian Influenza in Wild Mammals in South Korea
- Genetic Characterization of Highly Pathogenic Avian Influenza H5N1 and H5N6 Viruses Isolated from Wild Birds in South Korea During the 2023–2024 Winter Season
- Detection of Avian Influenza Virus in Mandarin Duck Since 2020 in South Korea
- Risk-Based Targeted Surveillance for Highly Pathogenic Avian Influenza in Wild Waterfowl in The United States
- Highly Pathogenic Avian Influenza Viruses Affecting Alaska Wildlife Exhibit Evidence of Interspecies Transmission and Globally Diverse Recent Common Ancestry
- Forecasting Hemispheric-Level Movement of Highly Pathogenic Avian Influenza Resulting from Waterfowl Migration
- A Simulation Method for Constructing Migratory Host Networks from Band-Recovery and Satellite Telemetry Data
- Predictors of Influenza A Virus Large-Scale Spatial Transmission and Probable Routes of Viral Movement
- Establishing a Noninvasive Method for Evaluating Susceptibility of Endangered Bird Species to Highly Pathogenic Avian Influenza Virus Using Cultured Cells
- Strategic Responses to Control and Prevent the Spread of African Swine Fever Virus—Efficient Capture and Surveillance of Wild Boars
- The Efficacy of the African Swine Fever Vaccine Candidate ASFV-G-ΔI177L/ΔLVR for Korean Field Virus
- Development and Characterization of High-Efficiency Cell-Adapted Live Attenuated Vaccine Candidate Against African Swine Fever Virus
- African Swine Fever Prevention and Preparedness Activities Targeting Feral Swine in the United States
- Ten Years of Feral Swine (Sus scrofa) Disease Surveillance in Guam
- Adaptive Risk-Based Targeted Surveillance for Foreign Animal Diseases in Wild Pigs
- Antimicrobial Resistance and One Health—An Ecological Perspective
- Pathogen Spillover—From Wildlife Reservoirs to Global Epidemics
- Applying Biomedical Tools to Understand Coral Disease
- Understanding Drivers of Winter Tick (Dermacentor albipictus) Abundance and Distribution in New England
- Use of Riparian Habitat by Invasive Culex quinquefasciatus and the Fate of Hawaiian Honeycreepers at Hakalau Forest National Wildlife Refuge, Island of Hawai’i
- Ke Kai Ola “The Healing Sea”—10 Years of Hawaiian Monk Seal Conservation Effort
- Current Status and Response to ASF Outbreaks in Wild Boars in Korea
- References Cited
- Appendix 1. Asia-Pacific Wildlife Health Workshop 2024
","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2025-01-30","noUsgsAuthors":false,"publicationDate":"2025-01-30","publicationStatus":"PW","contributors":{"compilers":[{"text":"Sleeman, Jonathan M. 0000-0002-9910-6125 jsleeman@usgs.gov","orcid":"https://orcid.org/0000-0002-9910-6125","contributorId":128,"corporation":false,"usgs":true,"family":"Sleeman","given":"Jonathan","email":"jsleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":82110,"text":"Midcontinent Regional Director's Office","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":925572,"contributorType":{"id":3,"text":"Compilers"},"rank":1}]}}
,{"id":70263187,"text":"70263187 - 2025 - Shoreline seasonality of California’s beaches","interactions":[],"lastModifiedDate":"2025-01-31T15:17:27.640402","indexId":"70263187","displayToPublicDate":"2025-01-30T09:13:44","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7357,"text":"JGR Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Shoreline seasonality of California’s beaches","docAbstract":"We report on remote sensing techniques developed to characterize seasonal shoreline cycles from satellite-derived shoreline measurements. These techniques are applied to 22-yr of shoreline measurements for over 777 km of beach along California's 1,700-km coast, for which the general understanding is that shorelines exhibit winter-narrow and summer-recovery seasonality. We find that approximately 90% of beach transects exhibit significant and recurring seasonal cycles in the shoreline position. Seasonal shoreline excursions are twice as large in northern and central California (17.5–32.2 m) than southern California (7.3–15.9 m; interquartile ranges). Clustering analyses were effective at characterizing the temporal patterns of the seasonality, revealing that ∼459 km of beach (59%) exhibit winter-narrow conditions, whereas ∼189 km (24%) and ∼50 km (6.4%) exhibit spring-narrow and summer-narrow conditions, respectively. These spring- and summer-narrow conditions are most common in southern California, where they represent over half of the total length of beach shoreline. Multivariate analyses reveal that wave climate and geomorphic setting are significantly related to the magnitude and timing of shoreline seasonal cycles. Combinations of these variables explain 44% of the seasonality variance of the complete data set and 85% of the variance for a subset of 93 long (>1 km) continuous beaches. We conclude that diversity in waves and geomorphic setting along California cause a broad range of seasonal patterns in the shoreline. Combined, this indicates that the overly generalized “winter-narrow/summer-recovery” conventions for California beaches are not expressed universally and that shoreline seasonality is far more diverse than these simple canonical rules.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024JF007836","usgsCitation":"Warrick, J.A., Buscombe, D., Vos, K., Kenyon, H., Ritchie, A., Harley, M.D., Janda, C.N., L'Heureux, J., and Vitousek, S., 2025, Shoreline seasonality of California’s beaches: JGR Earth Surface, v. 130, no. 2, e2024JF007836, 29 p., https://doi.org/10.1029/2024JF007836.","productDescription":"e2024JF007836, 29 p.","ipdsId":"IP-163900","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":489866,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024jf007836","text":"Publisher Index Page"},{"id":481547,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n 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,{"id":70263202,"text":"70263202 - 2025 - Detection of the Diadema antillarum scuticociliatosis Philaster clade on sympatric metazoa, plankton, and abiotic surfaces and assessment for its potential reemergence","interactions":[],"lastModifiedDate":"2025-02-03T16:06:28.672121","indexId":"70263202","displayToPublicDate":"2025-01-30T08:50:36","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Detection of the Diadema antillarum scuticociliatosis Philaster clade on sympatric metazoa, plankton, and abiotic surfaces and assessment for its potential reemergence","docAbstract":"A ciliate belonging to the Diadema antillarum scuticociliatosis (DaSc)-associated Philaster clade (DaScPc) caused catastrophic long-spined urchin mass mortality in spring and summer of 2022. The ciliate can be grown in culture in both the presence and absence of D. antillarum tissues, suggesting that it may persist outside its host by consuming microorganisms or dissolved organic nutrients. We hypothesized that DaScPc was present outside its host during and after mass mortality and absent prior to 2022. We examined DaScPc in DNA extracted from 500 swabs of sym- patric metazoa and abiotic surfaces, and plankton samples, collected at 35 sites in the Caribbean in 2022 and 2023. DaScPc was detected on corals, turf algae, and a sponge, predominantly at sites with active or prior DaSc. We examined whether it was present prior to 2022 by surveying extracted DNA from Caribbean corals and water collected near corals by PCR and by mining publicly available transcriptomes and metagenomes for DaScPc rRNAs. These efforts yielded no DaScPc genes. We further hypothesized that DaScPc may recruit to the specific corals detected in field surveys, and that these may then infect naïve hosts. A mesocosm experiment to test DaScPc recruitment suggested that, while it recruited to corals, it did so inconsistently between coral species. Incubation of corals that recruited DaScPc with naïve urchins yielded inconclusive results since urchins died without characteristic DaSc signs. Overall, our results suggest that DaScPc may occur outside its urchin host, and that it may have been absent in the region prior to 2022.
","language":"English","publisher":"Inter-Research Science Publisher","doi":"10.3354/meps14763","usgsCitation":"Vilanova-Cuevas, B., Philipp, K., Altera, A., Apprill, A., Becker, C., Behringer, D., Brandt, M.E., Breitbart, M., Budd, K.A., DeRito, C.M., Duermit-Moreau, E., Evans, J.S., Hopson-Fernandes, M., Fleischer, J., Gittens, S., Henson, M., Hylkema, A., Kellogg, C.A., Maritan, A., Meyer, J.L., Pratte, Z.A., Ritchie, I.T., Sevier, M.L., Souza, M., Stewart, F.J., Van Der Wal, S., VonHoehne, S., and Hewson, I., 2025, Detection of the Diadema antillarum scuticociliatosis Philaster clade on sympatric metazoa, plankton, and abiotic surfaces and assessment for its potential reemergence: Marine Ecology Progress Series, v. 753, p. 19-35, https://doi.org/10.3354/meps14763.","productDescription":"17 p.","startPage":"19","endPage":"35","ipdsId":"IP-166782","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science 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,{"id":70263235,"text":"70263235 - 2025 - Surface-wave relocation and characterization of the October 2023 tsunamigenic seismic unrest near Sofugan volcano, Izu Islands, Japan","interactions":[],"lastModifiedDate":"2025-02-03T15:10:03.113049","indexId":"70263235","displayToPublicDate":"2025-01-30T08:01:41","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Surface-wave relocation and characterization of the October 2023 tsunamigenic seismic unrest near Sofugan volcano, Izu Islands, Japan","docAbstract":"A moderate-magnitude earthquake swarm occurred in the remote Izu Islands region of Japan between October 1 and 8, 2023. The swarm included 151 shallow earthquakes cataloged by the U.S. Geological Survey, which notably included a roughly 2.5-hr episode of 15 successive magnitude (M) < 5.5 earthquakes. Origin times were coincident with regionally recorded tsunami waves, but tsunamigenesis for moderate-magnitude earthquakes is uncommon, indicating that volcanic activity generated the ocean displacements. Leveraging a surface-wave relative relocation approach, we estimate precise epicentroid locations for the remote swarm. Final epicentroids and caldera analogs indicate a three-stage model to explain swarm activity: (a) caldera pressurization due to magma intrusion, (b) depressurization via dike propagation away from the caldera, and (c) eruption corresponding with caldera reactivation either by collapse or additional intrusion.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024GL113504","usgsCitation":"Deane, C., Pesicek, J., Prejean, S., Earle, P.S., Shelly, D.R., and Yeck, W.L., 2025, Surface-wave relocation and characterization of the October 2023 tsunamigenic seismic unrest near Sofugan volcano, Izu Islands, Japan: Geophysical Research Letters, v. 52, no. 3, e2024GL113504, 12 p., https://doi.org/10.1029/2024GL113504.","productDescription":"e2024GL113504, 12 p.","ipdsId":"IP-172465","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":487612,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024gl113504","text":"Publisher Index Page"},{"id":481601,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Japan","otherGeospatial":"Sofugan volcano, Izu Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 139.25840884901504,\n 34.82287677805212\n ],\n [\n 139.25840884901504,\n 32.958492752206496\n ],\n [\n 139.99669459503235,\n 32.958492752206496\n ],\n [\n 139.99669459503235,\n 34.82287677805212\n ],\n [\n 139.25840884901504,\n 34.82287677805212\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"52","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-01-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Deane, Chanel Ashlie 0000-0002-7132-0090","orcid":"https://orcid.org/0000-0002-7132-0090","contributorId":350417,"corporation":false,"usgs":true,"family":"Deane","given":"Chanel Ashlie","affiliations":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"preferred":true,"id":925976,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pesicek, J.D. 0000-0001-7964-5845","orcid":"https://orcid.org/0000-0001-7964-5845","contributorId":72233,"corporation":false,"usgs":true,"family":"Pesicek","given":"J.D.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":925977,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prejean, Stephanie 0000-0003-0510-1989 sprejean@usgs.gov","orcid":"https://orcid.org/0000-0003-0510-1989","contributorId":172404,"corporation":false,"usgs":true,"family":"Prejean","given":"Stephanie","email":"sprejean@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":925978,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Earle, Paul S. 0000-0002-3500-017X pearle@usgs.gov","orcid":"https://orcid.org/0000-0002-3500-017X","contributorId":173551,"corporation":false,"usgs":true,"family":"Earle","given":"Paul","email":"pearle@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":925979,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shelly, David R. 0000-0003-2783-5158 dshelly@usgs.gov","orcid":"https://orcid.org/0000-0003-2783-5158","contributorId":206750,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":925980,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yeck, William L. 0000-0002-2801-8873 wyeck@usgs.gov","orcid":"https://orcid.org/0000-0002-2801-8873","contributorId":147558,"corporation":false,"usgs":true,"family":"Yeck","given":"William","email":"wyeck@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":925981,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70263852,"text":"70263852 - 2025 - Evaluation of a rapid assessment function to aid monitoring and management of common ravens (Corvus corax) in Washington state","interactions":[],"lastModifiedDate":"2025-02-26T20:32:24.517506","indexId":"70263852","displayToPublicDate":"2025-01-29T14:25:16","publicationYear":"2025","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":19846,"text":"BioRxiv","active":true,"publicationSubtype":{"id":32}},"title":"Evaluation of a rapid assessment function to aid monitoring and management of common ravens (Corvus corax) in Washington state","docAbstract":"Expanding human enterprise leading to resource subsidies for generalist species has resulted in widespread increases in common raven (Corvus corax) populations across the Western U.S. Ravens are an efficient predator and increased population abundance has led to adverse effects to multiple sensitive prey species. In regions where problematic interactions between ravens and their prey exist, managers seek efficient and effective tools for monitoring and controlling expanding raven populations. We previously developed a Rapid Assessment Function (RAF) for managers to quickly estimate raven population density and assess the need for management actions. We developed the RAF for the Great Basin (GB RAF) by first estimating raven density using robust distance sampling protocols with >30,000 raven point count surveys from sagebrush ecosystems in California, Nevada, Idaho, and Oregon across 131 field sites and years. We then used the relationship between raven density estimates from distance sampling and n ravens observedsite-year/ n surveyssite-year (that is, raven index) at each site-year combination to develop a function that accounts for detection probability and adjusts simple counts to provide a prediction of ‘true’ density. Our function produced reliable density estimates given approximately 50–100 surveys, thereby reducing the field-based and analytical efforts typically needed to estimate raven density, facilitating more efficient raven management in open sagebrush habitats. In this study, we sought to test our original GB RAF using data from sagebrush ecosystems outside of the Great Basin. Using raven point count data from two field site units in Washington state collected from 2016 to 2023, we calculated density estimates from distance sampling methods, comparable to what was done for previous analyses. We then used the GB RAF to generate predictions of density and compared those values to the more robust estimates from distance sampling. Additionally, we developed modified RAFs specifically for Washington data (WA RAFs) to assess how well they predicted raven density compared to the GB RAF. We found the detection curves estimated for the Washington sites largely aligned with those used to generate the original GB RAF. Furthermore, the estimates from the GB RAF exhibited similar or higher correlation with densities calculated from distance models (Pearson’s r = 0.73) than the modified WA RAFs with 1.33 km and 1.25 km truncation distances (Pearson’s r = 0.63 and 0.73, respectively). Producing an equivalently performing modified WA RAF would likely necessitate more data to reduce estimation error and produce more reliable estimates. These results provide evidence for the applicability of our GB RAF for more widespread use within sagebrush ecosystems, possibly negating the need for locally developed RAFs. Continued assessments of the GB RAF outside of the Great Basin would further verify its applicability across the sagebrush biome.
","language":"English","publisher":"BioRxiv","doi":"10.1101/2025.01.27.635125","usgsCitation":"Brussee, B.E., O’Neil, S.T., Atamian, M., Leingang, C., and Coates, P.S., 2025, Evaluation of a rapid assessment function to aid monitoring and management of common ravens (Corvus corax) in Washington state: BioRxiv, https://doi.org/10.1101/2025.01.27.635125.","productDescription":"27 p.","ipdsId":"IP-167957","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":489959,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1101/2025.01.27.635125","text":"Publisher Index Page"},{"id":482499,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Brussee, Brianne E. 0000-0002-2452-7101 bbrussee@usgs.gov","orcid":"https://orcid.org/0000-0002-2452-7101","contributorId":4249,"corporation":false,"usgs":true,"family":"Brussee","given":"Brianne","email":"bbrussee@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":928683,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Neil, Shawn T. 0000-0002-0899-5220","orcid":"https://orcid.org/0000-0002-0899-5220","contributorId":206589,"corporation":false,"usgs":true,"family":"O’Neil","given":"Shawn","email":"","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":928684,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Atamian, Michael T.","contributorId":351491,"corporation":false,"usgs":false,"family":"Atamian","given":"Michael T.","affiliations":[{"id":12438,"text":"Washington Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":928685,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leingang, Colin G.","contributorId":351492,"corporation":false,"usgs":false,"family":"Leingang","given":"Colin G.","affiliations":[{"id":83997,"text":"Yakima Training Center","active":true,"usgs":false}],"preferred":false,"id":928686,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coates, Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":928687,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70263082,"text":"70263082 - 2025 - Reproductive contribution of lake sturgeon transferred upstream of dams on a Great Lakes tributary","interactions":[],"lastModifiedDate":"2025-01-29T15:59:05.133308","indexId":"70263082","displayToPublicDate":"2025-01-29T09:54:30","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Reproductive contribution of lake sturgeon transferred upstream of dams on a Great Lakes tributary","docAbstract":"Dam construction contributes to declines in the distribution and abundance of many fishes. Increasing connectivity through adult transfer can be demographically and genetically beneficial, but assessing the effects resulting from transfer can be difficult if resident fish exist upstream. Genotypes of adult and larval lake sturgeon (Acipenser fulvescens) were used to quantify contributions to larval recruitment from adults transferred upstream of dams on the Menominee River, USA. We evaluated whether transfer timing, sex, and adult size were associated with the odds of reproduction. Elevator transfer operations in Fall 2019, Fall 2020, and Spring 2021 resulted in 152 male and 81 female lake sturgeon transferred upstream. In 2020 and 2021, 580 and 518 larvae were genotyped. We found that 86% (201/233) of adults reproduced and 62.3% (684/1098) of offspring had transferred parents. In total, we estimated that 392 resident adults contributed to offspring production. Mixed matings accounted for 53% of offspring genotyped, increasing levels of offspring genetic diversity relative to offspring produced from resident-only matings. Transferring adults may be a viable restoration alternative for other iteroparous fish in river systems where connectivity to spawning areas has been impeded.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2024-0215","usgsCitation":"Forsythe, P.S., Sard, N., Tucker, S., Atler, L., Kanefsky, J., Johnson, J., Isermann, D.A., Elliott, R., Donofrio, M., and Scribner, K., 2025, Reproductive contribution of lake sturgeon transferred upstream of dams on a Great Lakes tributary: Canadian Journal of Fisheries and Aquatic Sciences, v. 82, p. 1-16, https://doi.org/10.1139/cjfas-2024-0215.","productDescription":"16 p.","startPage":"1","endPage":"16","ipdsId":"IP-167781","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":489914,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/cjfas-2024-0215","text":"Publisher Index Page"},{"id":481458,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, Wisconsin","otherGeospatial":"Menominee River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -87.75903286524687,\n 45.39088204054653\n ],\n [\n -87.76382874658552,\n 45.104724301461346\n ],\n [\n -87.60556466242072,\n 45.10303185355548\n ],\n [\n -87.60556466242072,\n 45.39256595833842\n ],\n [\n -87.75903286524687,\n 45.39088204054653\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"82","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Forsythe, Patrick S.","contributorId":167341,"corporation":false,"usgs":false,"family":"Forsythe","given":"Patrick","email":"","middleInitial":"S.","affiliations":[{"id":24696,"text":"Green Bay Fish and Wildlife Conservation Office, USGS, New Franken, Wisconsin","active":true,"usgs":false}],"preferred":false,"id":925477,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sard, Nicholas M.","contributorId":342858,"corporation":false,"usgs":false,"family":"Sard","given":"Nicholas M.","affiliations":[{"id":81942,"text":"State University of New York-Oswego","active":true,"usgs":false}],"preferred":false,"id":925478,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tucker, Stefan","contributorId":350202,"corporation":false,"usgs":false,"family":"Tucker","given":"Stefan","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":925479,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Atler, Lexi","contributorId":350203,"corporation":false,"usgs":false,"family":"Atler","given":"Lexi","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":925480,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kanefsky, Jeannette","contributorId":243198,"corporation":false,"usgs":false,"family":"Kanefsky","given":"Jeannette","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":925481,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Jennifer","contributorId":258148,"corporation":false,"usgs":false,"family":"Johnson","given":"Jennifer","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":925482,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":925483,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Elliott, Robert F.","contributorId":348746,"corporation":false,"usgs":false,"family":"Elliott","given":"Robert F.","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":925484,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Donofrio, Michael","contributorId":340818,"corporation":false,"usgs":false,"family":"Donofrio","given":"Michael","email":"","affiliations":[{"id":81669,"text":"Wisconsin Department of Natural Resource (retired)","active":true,"usgs":false}],"preferred":false,"id":925485,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Scribner, Kim T.","contributorId":341328,"corporation":false,"usgs":false,"family":"Scribner","given":"Kim T.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":925486,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70263339,"text":"70263339 - 2025 - Mapping bedrock outcrops in the Sierra Nevada Mountains (California, USA) using machine learning","interactions":[],"lastModifiedDate":"2025-02-06T15:53:28.669956","indexId":"70263339","displayToPublicDate":"2025-01-29T09:49:48","publicationYear":"2025","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":"Mapping bedrock outcrops in the Sierra Nevada Mountains (California, USA) using machine learning","docAbstract":"Accurate, high-resolution maps of bedrock outcrops can be valuable for applications such as models of land–atmosphere interactions, mineral assessments, ecosystem mapping, and hazard mapping. The increasing availability of high-resolution imagery can be coupled with machine learning techniques to improve regional bedrock outcrop maps. In the United States, the existing 30 m U.S. Geological Survey (USGS) National Land Cover Database (NLCD) tends to misestimate extents of barren land, which includes bedrock outcrops. This impacts many calculations beyond bedrock mapping, including soil carbon storage, hydrologic modeling, and erosion susceptibility. Here, we tested if a machine learning (ML) model could more accurately map exposed bedrock than NLCD across the entire Sierra Nevada Mountains (California, USA). The ML model was trained to identify pixels that are likely bedrock from 0.6 m imagery from the National Agriculture Imagery Program (NAIP). First, we labeled exposed bedrock at twenty sites covering more than 83 km2 (0.13%) of the Sierra Nevada region. These labels were then used to train and test the model, which gave 83% precision and 78% recall, with a 90% overall accuracy of correctly predicting bedrock. We used the trained model to map bedrock outcrops across the entire Sierra Nevada region and compared the ML map with the NLCD map. At the twenty labeled sites, we found the NLCD barren land class, even though it includes more than just bedrock outcrops, accounted for only 41% and 40% of mapped bedrock from our labels and ML predictions, respectively. This substantial difference illustrates that ML bedrock models can have a role in improving land-cover maps, like NLCD, for a range of science applications.
","language":"English","publisher":"MDPI","doi":"10.3390/rs17030457","usgsCitation":"Shastry, A.R., Cerovski-Darriau, C., Coltin, B., and Stock, J.D., 2025, Mapping bedrock outcrops in the Sierra Nevada Mountains (California, USA) using machine learning: Remote Sensing, v. 17, no. 3, 457, 11 p., https://doi.org/10.3390/rs17030457.","productDescription":"457, 11 p.","ipdsId":"IP-153917","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"links":[{"id":487628,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs17030457","text":"Publisher Index Page"},{"id":481746,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sierra Nevada Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.41245311245856,\n 35.20197552578807\n ],\n [\n -117.96299074904582,\n 36.06858120494961\n ],\n [\n -118.86530937366612,\n 37.63884023254646\n ],\n [\n -119.85965473348287,\n 38.80651233617289\n ],\n [\n -120.17114612624695,\n 40.23030133169971\n ],\n [\n -120.73602418336918,\n 40.662012753561754\n ],\n [\n -122.36739903137283,\n 40.400491599532984\n ],\n [\n -120.74692405664294,\n 38.0147515126105\n ],\n [\n -119.36615838296214,\n 35.979191454701876\n ],\n [\n -118.41245311245856,\n 35.20197552578807\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"17","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-01-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Shastry, Apoorva Ramesh 0000-0002-3996-4857","orcid":"https://orcid.org/0000-0002-3996-4857","contributorId":317867,"corporation":false,"usgs":true,"family":"Shastry","given":"Apoorva","email":"","middleInitial":"Ramesh","affiliations":[{"id":227,"text":"Earth Surface Dynamics Program","active":true,"usgs":true}],"preferred":true,"id":926515,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cerovski-Darriau, Corina 0000-0002-0543-0902","orcid":"https://orcid.org/0000-0002-0543-0902","contributorId":221159,"corporation":false,"usgs":true,"family":"Cerovski-Darriau","given":"Corina","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":926516,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coltin, Brian","contributorId":350636,"corporation":false,"usgs":false,"family":"Coltin","given":"Brian","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":926517,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stock, Jonathan D. 0000-0001-8565-3577 jstock@usgs.gov","orcid":"https://orcid.org/0000-0001-8565-3577","contributorId":3648,"corporation":false,"usgs":true,"family":"Stock","given":"Jonathan","email":"jstock@usgs.gov","middleInitial":"D.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":926518,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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