{"pageNumber":"54","pageRowStart":"1325","pageSize":"25","recordCount":184582,"records":[{"id":70273845,"text":"70273845 - 2025 - Cryptic ice wedge networks in Holocene peat, Yukon-Kuskokwim Delta, Alaska","interactions":[],"lastModifiedDate":"2026-02-06T14:57:41.937702","indexId":"70273845","displayToPublicDate":"2025-07-06T07:44:37","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3032,"text":"Permafrost and Periglacial Processes","active":true,"publicationSubtype":{"id":10}},"title":"Cryptic ice wedge networks in Holocene peat, Yukon-Kuskokwim Delta, Alaska","docAbstract":"

The Yukon-Kuskokwim Delta (YKD), covering ~75,000 km2 of Alaska's discontinuous permafrost zone, has a historic (1902–2023) mean annual air temperature of ~−1°C and was previously thought to lack ice wedge networks. However, our recent investigations near Bethel, Alaska, revealed numerous near-surface ice wedges. Using 20 cm resolution aerial orthoimagery from 2018, we identified ~50 linear km of ice wedge troughs in a 60 km2 study area. Fieldwork in 2023 and 2024 confirmed ice wedges up to ~1.5 m wide and ~2.5 m in vertical extent, situated on average 0.9 m below the tundra surface (n = 29). Ground-penetrating radar (GPR) detected additional ice wedges beyond those visible in the remote sensing imagery, suggesting an underestimation of their true abundance. Coring of polygonal centers revealed late-Quaternary deposits, including thick early Holocene peat, late-Pleistocene ice-rich silts (reworked Yedoma), charcoal layers from tundra fires, and the Aniakchak CFE II tephra (~3600 cal yrs BP). Stable water isotopes from Bethel's wedge ice (mean δ18O = −15.7 ‰, δ2H = −113.1 ‰) indicate a relatively enriched signature compared to other Holocene ice wedges in Alaska, likely due to warmer temperatures and maritime influences. Expanding our mapping across the YKD using high-resolution satellite imagery from 2012 to 2024, we estimate that the Holocene ice wedge zone encompasses ~30% of the YKD tundra region. Our findings demonstrate that ice wedge networks are more widespread across the YKD than previously recognized, emphasizing both the resilience and vulnerability of the region's warm, ice-rich permafrost. These insights are crucial for understanding permafrost responses to climate change and assessing agricultural potential and development in the region.

","language":"English","publisher":"Wiley","doi":"10.1002/ppp.70004","usgsCitation":"Jones, B.M., Kanevskiy, M.Z., Ward Jones, M.K., Wilson, P.R., Ditmer, I., Gaglioti, B.V., Klein, E.S., Rangel, R.C., Wallace, K.L., Jones, M.C., Wooller, M.J., and Shur, Y., 2025, Cryptic ice wedge networks in Holocene peat, Yukon-Kuskokwim Delta, Alaska: Permafrost and Periglacial Processes, v. 36, no. 4, p. 678-701, https://doi.org/10.1002/ppp.70004.","productDescription":"24 p.","startPage":"678","endPage":"701","ipdsId":"IP-175795","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":499646,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Yukon-Kuskokwim Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n 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Z.","contributorId":366064,"corporation":false,"usgs":false,"family":"Kanevskiy","given":"Mikhail","middleInitial":"Z.","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":955216,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ward Jones, Melissa K.","contributorId":366065,"corporation":false,"usgs":false,"family":"Ward Jones","given":"Melissa","middleInitial":"K.","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":955217,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, Phillip R.","contributorId":366066,"corporation":false,"usgs":false,"family":"Wilson","given":"Phillip","middleInitial":"R.","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":955218,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ditmer, Isaiah","contributorId":366068,"corporation":false,"usgs":false,"family":"Ditmer","given":"Isaiah","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":955219,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gaglioti, Benjamin V.","contributorId":366069,"corporation":false,"usgs":false,"family":"Gaglioti","given":"Benjamin","middleInitial":"V.","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":955220,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Klein, Eric S.","contributorId":366071,"corporation":false,"usgs":false,"family":"Klein","given":"Eric","middleInitial":"S.","affiliations":[{"id":82717,"text":"UAA","active":true,"usgs":false}],"preferred":false,"id":955221,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rangel, Rodrigo C.","contributorId":366073,"corporation":false,"usgs":false,"family":"Rangel","given":"Rodrigo","middleInitial":"C.","affiliations":[{"id":7044,"text":"University of Toronto","active":true,"usgs":false}],"preferred":false,"id":955222,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wallace, Kristi L. 0000-0002-0962-048X kwallace@usgs.gov","orcid":"https://orcid.org/0000-0002-0962-048X","contributorId":3454,"corporation":false,"usgs":true,"family":"Wallace","given":"Kristi","email":"kwallace@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":955223,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jones, Miriam C. 0000-0002-6650-7619","orcid":"https://orcid.org/0000-0002-6650-7619","contributorId":257239,"corporation":false,"usgs":true,"family":"Jones","given":"Miriam","email":"","middleInitial":"C.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":955224,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wooller, Matthew J.","contributorId":345664,"corporation":false,"usgs":false,"family":"Wooller","given":"Matthew","middleInitial":"J.","affiliations":[{"id":82686,"text":"College of Fisheries and Ocean Sciences, Institute of Marine Science, University of Alaska, Fairbanks, AK 99775, USA.","active":true,"usgs":false}],"preferred":false,"id":955225,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Shur, Yuri","contributorId":169367,"corporation":false,"usgs":false,"family":"Shur","given":"Yuri","email":"","affiliations":[{"id":7211,"text":"University of Alaska, Fairbanks","active":true,"usgs":false}],"preferred":false,"id":955226,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70268872,"text":"70268872 - 2025 - Disease-driven collapse of the native Kauaʻi avifauna and the rise of introduced bird species","interactions":[],"lastModifiedDate":"2025-07-09T15:23:24.011957","indexId":"70268872","displayToPublicDate":"2025-07-05T10:18:36","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1006,"text":"Biodiversity and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Disease-driven collapse of the native Kauaʻi avifauna and the rise of introduced bird species","docAbstract":"

Hawaii hosts one of Earth’s most unique and threatened avifaunas. Upslope migration of mosquito-vectored avian malaria on Kauaʻi (maximum elevation 1,598 m) has likely caused its rapid loss of avifaunal diversity; only 8 of 13 historic forest bird species remain. We update the status and trends of Kauaʻi forest bird populations since the original (1981) surveys using the latest (2023) survey data and distance sampling. We fit detection functions to species-specific count data and stratified estimates across the Interior (since 1981) and Exterior (since 2000) survey areas, and between low (900–1,100 m), medium (1,100–1,300 m) and high (> 1,300 m) elevation bands (since 2000). Log-linear trends of ʻakekeʻe (Loxops caeruleirostris), ʻanianiau (Magumma parva), ʻiʻiwi (Drepanis coccinea), and Kauaʻi ʻamakihi (Chlorodrepanis stejnegeri) steeply declined across the timeseries, with extinction of ʻakekeʻe and ʻiʻiwi expected before 2050. Undetected in 2023, ʻakikiki (Oreomystis bairdi) were excluded from analysis. ʻApapane (Himatione sanguinea), Kauaʻi ʻelepaio (Chasiempis sclateri), Chinese hwamei (Garrulax canorus), and white-rumped shama (Copsychus malabaricus) were stable overall. Northern cardinal (Cardinalis cardinalis) steadily declined, whereas Japanese bush warbler (Horornis diphone) and warbling white-eye (Zosterops japonicus) exponentially increased. Taxonomic and functional diversity did not vary greatly across our timeseries, while the proportion of introduced species in the Exterior increased from 34 to 59%. However, introduced species do not replace the losses of ecological functions from native species, whose populations are likely declining from avian malaria. Future monitoring can be used to evaluate forest bird population responses to mosquito suppression using the Incompatible Insect Technique.

","language":"English","publisher":"Springer","doi":"10.1007/s10531-025-03111-z","usgsCitation":"Hunt, N., Crampton, L.H., Winter, T., Alexander, J., Glib, R., and Camp, R.J., 2025, Disease-driven collapse of the native Kauaʻi avifauna and the rise of introduced bird species: Biodiversity and Conservation, https://doi.org/10.1007/s10531-025-03111-z.","ipdsId":"IP-174147","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":492086,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10531-025-03111-z","text":"Publisher Index Page"},{"id":491903,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kaua'i","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -159.71699717610605,\n 22.227931797804146\n ],\n [\n -159.71699717610605,\n 22.046986423712184\n ],\n [\n -159.4442920844603,\n 22.046986423712184\n ],\n [\n -159.4442920844603,\n 22.227931797804146\n ],\n [\n -159.71699717610605,\n 22.227931797804146\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2025-07-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Hunt, Noah J. 0009-0008-9859-7007","orcid":"https://orcid.org/0009-0008-9859-7007","contributorId":357746,"corporation":false,"usgs":false,"family":"Hunt","given":"Noah J.","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":942446,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crampton, Lisa H.","contributorId":192559,"corporation":false,"usgs":false,"family":"Crampton","given":"Lisa","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":942447,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Winter, Tyler A","contributorId":357748,"corporation":false,"usgs":false,"family":"Winter","given":"Tyler A","affiliations":[{"id":85549,"text":"Pacific Cooperative Studies Unit, University of Hawai’i at Mānoa","active":true,"usgs":false}],"preferred":false,"id":942448,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alexander, Jack D","contributorId":357749,"corporation":false,"usgs":false,"family":"Alexander","given":"Jack D","affiliations":[{"id":85549,"text":"Pacific Cooperative Studies Unit, University of Hawai’i at Mānoa","active":true,"usgs":false}],"preferred":false,"id":942449,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Glib, Roy","contributorId":357750,"corporation":false,"usgs":false,"family":"Glib","given":"Roy","affiliations":[{"id":27518,"text":"Colorado Natural Heritage Program","active":true,"usgs":false}],"preferred":false,"id":942450,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Camp, Richard J. 0000-0001-7008-923X rick_camp@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-923X","contributorId":189964,"corporation":false,"usgs":true,"family":"Camp","given":"Richard","email":"rick_camp@usgs.gov","middleInitial":"J.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":942451,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70268849,"text":"70268849 - 2025 - Precipitation pulse dynamics are not ubiquitous: A global meta-analysis of plant and ecosystem carbon- and water-related pulse responses","interactions":[],"lastModifiedDate":"2025-07-08T17:08:38.774687","indexId":"70268849","displayToPublicDate":"2025-07-05T10:05:47","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Precipitation pulse dynamics are not ubiquitous: A global meta-analysis of plant and ecosystem carbon- and water-related pulse responses","docAbstract":"

Ecosystem responses to precipitation pulses (“pulse responses”) exert a large control over global carbon, water, and energy cycles. However, it is unclear how the timing and magnitude of pulse responses will vary across ecosystems as precipitation regimes shift under accelerating climate change. To address this issue, this study evaluates how plants and ecosystems respond to precipitation pulses and explores potential implications of altered precipitation regimes for the carbon and water cycles. In particular, we conducted a global meta-analysis to quantify the magnitude and timing of plant and ecosystem carbon-related (Anet, NPP, GPP, Reco, Rbg) and water-related (ET, T, Ψ, gs) responses to 587 precipitation pulses. By analyzing pulse-response metrics published in the primary literature, we evaluated the characteristics of those pulse responses. We assessed whether precipitation pulses lead to a classic pulse response (i.e., a hump-shaped response as described by the pulse-reserve framework), a linear pulse response, a combination of classic and linear, or a lack of a pulse response. If a pulse response occurred, we explored the factors that drove its timing, magnitude, and speed. Our meta-analyses revealed that the classic, hump-shaped response is not ubiquitous, as it only accounted for 52% of the pulse responses. However, when a pulse response did occur, carbon-related responses to precipitation pulses were larger in magnitude (e.g., larger peak) than water-related pulse responses at relatively arid sites. However, at relatively mesic sites, this relationship reversed (i.e., water-related responses to precipitation pulses were larger than carbon-related responses). Additionally, larger precipitation pulse amounts increased water-related response magnitudes more than carbon-related response magnitudes across both arid and mesic sites. Therefore, under future precipitation intensification, carbon-related responses to precipitation pulses may become more decoupled from water-related pulse responses in wetter biomes but more coupled to water-related pulse responses in drier biomes.

","language":"English","publisher":"Wiley","doi":"10.1111/gcb.70327","usgsCitation":"Reich, E., Guo, J., Peltier, D., Palmquist, E.C., Samuels-Crow, K., Boone, R., and Ogle, K., 2025, Precipitation pulse dynamics are not ubiquitous: A global meta-analysis of plant and ecosystem carbon- and water-related pulse responses: Global Change Biology, v. 31, no. 7, e70327, 15 p., https://doi.org/10.1111/gcb.70327.","productDescription":"e70327, 15 p.","ipdsId":"IP-172036","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":492071,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.70327","text":"Publisher Index Page"},{"id":491832,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"7","noUsgsAuthors":false,"publicationDate":"2025-07-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Reich, Emma","contributorId":355440,"corporation":false,"usgs":false,"family":"Reich","given":"Emma","affiliations":[{"id":84751,"text":"School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, Arizona, U.S.A.","active":true,"usgs":false}],"preferred":false,"id":942361,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guo, Jessica","contributorId":356781,"corporation":false,"usgs":false,"family":"Guo","given":"Jessica","affiliations":[{"id":85232,"text":"CCT Data Science Group, University of Arizona, Tucson, USA","active":true,"usgs":false}],"preferred":false,"id":942362,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peltier, Drew","contributorId":357727,"corporation":false,"usgs":false,"family":"Peltier","given":"Drew","affiliations":[{"id":85542,"text":"School of Life Sciences, University of Nevada, Las Vegas, Nevada, U.S.A","active":true,"usgs":false}],"preferred":false,"id":942363,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Palmquist, Emily C. 0000-0003-1069-2154 epalmquist@usgs.gov","orcid":"https://orcid.org/0000-0003-1069-2154","contributorId":5669,"corporation":false,"usgs":true,"family":"Palmquist","given":"Emily","email":"epalmquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":942364,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Samuels-Crow, Kimberly","contributorId":289104,"corporation":false,"usgs":false,"family":"Samuels-Crow","given":"Kimberly","email":"","affiliations":[{"id":62051,"text":"School of Informatics, Computing, and Cyber Systems; Northern Arizona University, Flagstaff, AZ","active":true,"usgs":false}],"preferred":false,"id":942365,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boone, Rohan","contributorId":357728,"corporation":false,"usgs":false,"family":"Boone","given":"Rohan","affiliations":[{"id":85543,"text":"School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, Arizona, 86011, U.S.A.","active":true,"usgs":false}],"preferred":false,"id":942366,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ogle, Kiona","contributorId":248351,"corporation":false,"usgs":false,"family":"Ogle","given":"Kiona","email":"","affiliations":[],"preferred":false,"id":942367,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70274495,"text":"70274495 - 2025 - AviList: A unified global bird checklist","interactions":[],"lastModifiedDate":"2026-03-27T16:05:19.722523","indexId":"70274495","displayToPublicDate":"2025-07-05T08:49:16","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1006,"text":"Biodiversity and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"AviList: A unified global bird checklist","docAbstract":"Universally recognized scientific names for organisms are necessary for accurate and efficient communication. Incongruence in taxonomic treatments results in situations where one name is used for different entities or one entity is known by different names, with negative consequences for conservation, science, trade, legislation, law enforcement, and education, leading to discord among stakeholders and confusion among users. Within the ornithological community taxonomic incongruence among four widely adopted global bird checklists has led to calls for the development of a single unified global avian taxonomy or checklist. Here we introduce AviList, a comprehensive, collaborative and evolving effort towards developing a unified global avian taxonomy, spearheaded by representatives of most current global checklists and many major regional authorities, and supported by the International Ornithologists’ Union (IOU), BirdLife International and the Cornell Lab of Ornithology. AviList version 2025, the first version, was officially launched on 11 June 2025 and is available online as a comprehensive, searchable public-access database. It recognizes 11,131 bird species in 2376 genera, 252 families and 46 orders. This global effort has resolved over 1000 species-level taxonomic incongruences among existing checklists. With AviList’s launch, the IOC World Bird List and the Clements Checklist of Birds of the World have ceased any independent taxonomic updates, while BirdLife International is in the process of total alignment, leading to a harmonization in the classification underpinning a number of major bird projects, including eBird, Macaulay Library, Merlin Bird ID and the IUCN Red List. Adoption of AviList will improve inter-operability across global biodiversity, molecular, ecological and spatial databases (e.g. GBIF). Strong governance of AviList will ensure it is a “living” document that is regularly updated by a global community of bird taxonomists as new scientific advances are made, with positive impacts for conservation, academia and human society. It is hoped that AviList will support and encourage taxonomic science by identifying areas where further research is most needed, and that it will provide a blueprint for taxonomic authorities in other organismic groups endeavoring to achieve taxonomic harmonization.","language":"English","publisher":"Springer Nature","doi":"10.1007/s10531-025-03120-y","usgsCitation":"Rheindt, F.E., Donald, P.F., Donsker, D.B., Gerbracht, J.A., Iliff, M.J., Lepage, D., Norman, J.A., Rasmussen, P.C., Schodde, R., Schulenberg, T.S., Areta, J.I., Brammer, F.B., Chesser, R., Dowsett, R.J., Peterson, A., Alström, P., Stervander, M., Remsen, J., Garnett, S.T., Homberger, D.G., Lei, F., and Christidis, L., 2025, AviList: A unified global bird checklist: Biodiversity and Conservation, v. 34, p. 3359-3376, https://doi.org/10.1007/s10531-025-03120-y.","productDescription":"18 p.","startPage":"3359","endPage":"3376","ipdsId":"IP-180319","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":502041,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.lsu.edu/biosci_pubs/5078","text":"External Repository"},{"id":501716,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","noUsgsAuthors":false,"publicationDate":"2025-07-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Rheindt, Frank E.","contributorId":368856,"corporation":false,"usgs":false,"family":"Rheindt","given":"Frank","middleInitial":"E.","affiliations":[{"id":64287,"text":"National University of Singapore","active":true,"usgs":false}],"preferred":false,"id":957984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Donald, Paul F.","contributorId":368857,"corporation":false,"usgs":false,"family":"Donald","given":"Paul","middleInitial":"F.","affiliations":[{"id":87657,"text":"BirdLife International; 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The microbial role in dune succession along the Great Lakes freshwater sand dunes remains poorly understood. A chronosequence study was conducted to understand the relationships among soil bacterial communities, soil chemistry, and prescribed burning at the Indiana Dunes National Park. Soil bacterial communities and chemistry, as well as groundlayer vegetation were sampled during 2015 and 2017 from seven successional stages from the beach (contemporary) to the 14,000-year-old oak forest. Bacterial communities from unburned and burned sites among stages were determined by 16S rRNA gene amplicon sequencing. Soil pH and cations decreased from early (beach, foredune, secondary dune, and woodland transition) to late (oak savanna, woodland, and oak forest) successional stages, while organic matter and organic carbon concentrations increased in the late successional stages. Bacterial alpha diversity showed no significant differences among stages, but a significant interaction was found between stage and prescribed burning (H = 39.7, p < 0.001). Bacterial communities separated mainly along stage by all four beta diversity metrics used (Bray Curtis, Jaccard, and Weighted and Unweighted UniFrac), with the main difference observed along the primary axis (weighted UniFrac, 48 %). Bacterial phyla were differentially abundant in older soil stages compared to beach (ANCOM-BC, q < 0.05); likewise, differential abundances in genera were evident when burned and unburned sites were compared. A Mantel test indicated stronger congruency between the bacterial communities and soil chemistry than between bacterial communities and vegetation. Collectively, soil chemical and microbial parameters along with management practices contribute to dunal successional patterns in the Great Lakes.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2025.102611","usgsCitation":"Byappanahalli, M., Pavlovic, N., and Nakatsu, C.H., 2025, Bacterial community structure across a sand dune chronosequence at the Indiana Dunes National Park: Journal of Great Lakes Research, v. 51, 102611, 13 p.; Data Release, https://doi.org/10.1016/j.jglr.2025.102611.","productDescription":"102611, 13 p.; Data Release","ipdsId":"IP-134576","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":492482,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2025.102611","text":"Publisher Index Page"},{"id":492794,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZP9L4P","text":"USGS data release","linkHelpText":"Microbial Communities Across a Successional Gradient at Indiana Dunes National Park, 2015-2017"},{"id":492194,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Indiana","county":"Porter County","otherGeospatial":"Indiana Dunes National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -87.0206791368545,\n 41.6839662423055\n ],\n [\n -87.0206791368545,\n 41.66699841410593\n ],\n [\n -86.9869478662839,\n 41.66699841410593\n ],\n [\n -86.9869478662839,\n 41.6839662423055\n ],\n [\n -87.0206791368545,\n 41.6839662423055\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"51","noUsgsAuthors":false,"publicationDate":"2025-07-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Byappanahalli, Muruleedhara 0000-0001-5376-597X","orcid":"https://orcid.org/0000-0001-5376-597X","contributorId":241924,"corporation":false,"usgs":true,"family":"Byappanahalli","given":"Muruleedhara","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":942842,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pavlovic, Noel B. 0000-0002-2335-2274","orcid":"https://orcid.org/0000-0002-2335-2274","contributorId":266174,"corporation":false,"usgs":true,"family":"Pavlovic","given":"Noel B.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":942843,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nakatsu, Cindy H 0000-0003-0663-180X","orcid":"https://orcid.org/0000-0003-0663-180X","contributorId":215593,"corporation":false,"usgs":false,"family":"Nakatsu","given":"Cindy","email":"","middleInitial":"H","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":942844,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70268843,"text":"70268843 - 2025 - Relating surface water dynamics in wetlands and lakes to spatial variability in hydrologic signatures","interactions":[],"lastModifiedDate":"2025-07-08T15:05:18.801102","indexId":"70268843","displayToPublicDate":"2025-07-05T08:01:02","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":21989,"text":"Wetland Ecology & Management","active":true,"publicationSubtype":{"id":10}},"title":"Relating surface water dynamics in wetlands and lakes to spatial variability in hydrologic signatures","docAbstract":"

The retention of surface water in wetlands and lakes can modify the timing, duration, and magnitude of river discharge. However, efforts to characterize the influence of surface water on discharge regimes have been generally limited to small, wetland-dense watersheds. We developed random forest models to explain spatial variability in six hydrologic signatures, reflecting flashiness, high, and low flow conditions, at 72 gaged watersheds with variable water storage capacity across the conterminous United States. In addition to variables representing meteorology and landscape characteristics, we also tested the inclusion of surface water dynamics, derived from Sentinel-1 and Sentinel-2. Models for all six signatures improved with the addition of catchment characteristics, including surface water dynamics, relative to models with only climate variables. Percent improvement in model adjusted R2, mean square error, and Akaike information criterion ranged from 4.00 to 14.33%, 5.00 to 20.30%, and 2.75–8.14, respectively. Automated variable selection can be indicative of the relative importance of certain variables over others. Using a forward selection process, five of the six signature models selected remotely sensed inundation or wetland variables (p < 0.05). For example, the variable semi-permanent and permanent (SP + P) floodplain inundation (i.e., lakes along rivers) was associated with lower annual flashiness. Further, SP + P non-floodplain waters and geographically isolated wetlands significantly contributed to explaining variability in the low flow signatures. Our findings underscore the capacity of wetlands to stabilize and maintain flows during dry periods. Improved understanding of how surface water dynamics influence hydrologic signatures can inform wetland restoration efforts and facilitate improved resilience to extreme flow conditions.

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Change Science Center","active":true,"usgs":true}],"preferred":true,"id":942340,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70268864,"text":"70268864 - 2025 - Identifying presence or absence of grizzly and polar bear cubs from the movements of adult females with machine learning","interactions":[],"lastModifiedDate":"2025-07-09T15:32:38.339545","indexId":"70268864","displayToPublicDate":"2025-07-04T10:24:18","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2792,"text":"Movement Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Identifying presence or absence of grizzly and polar bear cubs from the movements of adult females with machine learning","docAbstract":"

Background

Information on reproductive success is crucial to understanding population dynamics but can be difficult to obtain, particularly for species that birth while denning. For grizzly (Ursus arctos) and polar bears (U. maritimus), den visits are impractical because of safety and logistical considerations. Reproduction is typically documented through direct observation, which can be difficult, costly, and often occurs long after den departure. Reproduction could be documented remotely, however, from post-denning movement data if discernable differences exist between females with and without cubs.

Methods

We trained support vector machines (SVMs) with eight variables derived from telemetry data of female grizzly (2000–2022) and polar bears (1985–2016) with or without cubs during seven periods with lengths ranging from 5 to 60 days starting at den departure. We assessed SVM classification accuracy by withholding two samples (one cub-present, one cub-absent), training SVMs with the remaining data, predicting classification of the withheld samples, and repeating this process for each sample combination. Additionally, we evaluated how classification accuracy for grizzly bears was influenced by sample size, length of the post-departure period, and frequency of standardized location estimates.

Results

Accuracy of predicting cub presence or absence was 87% for grizzly bears with only 5 days of post-departure data and increased to a maximum of 92% with 20 days of data. For polar bears, accuracy was 86% at 5 days post-departure and increased to a maximum of 93% at 50 days. Classification accuracy for grizzly bears increased from 76 to 90% when sample size increased from 10 to 30 bears while holding period length constant (30 days) but did not increase at larger sample sizes. When sample size was held constant, increasing the length of the post-departure period did not affect classification accuracy markedly.

Conclusion

Presence or absence of grizzly and polar bear cubs can be identified with high accuracy even when SVM models are trained with limited data. Detecting cub presence or absence remotely could improve estimates of reproductive success and litter survival, enhancing our understanding of factors affecting cub recruitment.

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System","docAbstract":"Research shows that climate change is already affecting both resources and visitors in U.S. National Parks. We sought to better understand if and how park staff across the National Park Service are adapting to climatic changes that affect visitor use, as well as barriers and challenges to adaptation and information needs. We conducted semi-structured qualitative interviews with 63 staff from 31 representative national park units across the United States. We qualitatively coded interviews for themes using deductive and inductive coding approaches. Results indicate that park staff are already taking action to adapt to changes that are affecting visitor use, including efforts to increase resiliency of infrastructure and to support the health and safety of visitors (e.g., increased communication, preventative search and rescue, changes to programming). Common barriers and challenges include institutional factors (such as funding, staffing capacity, and shifting priorities), uncertainty about future conditions, and difficulties with prioritizing climate adaptation. Data, tool, and information needs varied, but commonly included social science data such as visitor surveys, and tools to help synthesize and standardize information and help translate science into action. 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Wylie","contributorId":273040,"corporation":false,"usgs":false,"family":"Carr","given":"Wylie","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":942309,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Winder, Samantha G. 0000-0002-7620-6916","orcid":"https://orcid.org/0000-0002-7620-6916","contributorId":348913,"corporation":false,"usgs":false,"family":"Winder","given":"Samantha G.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":942310,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reas, Julianne","contributorId":348912,"corporation":false,"usgs":false,"family":"Reas","given":"Julianne","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":942311,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Daniele, Daniela B.","contributorId":357717,"corporation":false,"usgs":false,"family":"Daniele","given":"Daniela B.","affiliations":[{"id":52985,"text":"National Park Service Climate Change Response Program","active":true,"usgs":false}],"preferred":false,"id":942312,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wood, Spencer A. 0000-0002-5794-2619","orcid":"https://orcid.org/0000-0002-5794-2619","contributorId":334970,"corporation":false,"usgs":false,"family":"Wood","given":"Spencer A.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":942313,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70268907,"text":"70268907 - 2025 - Incidence of pollution, bioaccumulation, biomagnification, and toxic effects of per- and polyfluoroalkyl substances (PFAS) in aquatic ecosystems: A review","interactions":[],"lastModifiedDate":"2025-07-10T14:03:54.218204","indexId":"70268907","displayToPublicDate":"2025-07-04T09:01:33","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":874,"text":"Aquatic Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Incidence of pollution, bioaccumulation, biomagnification, and toxic effects of per- and polyfluoroalkyl substances (PFAS) in aquatic ecosystems: A review","docAbstract":"

Per- and polyfluoroalkyl substances (PFAS) are persistently accumulated in both environmental media and biological systems, leading to significant toxicological effects. Although research on PFAS has expanded in recent years, systematic reviews on its concentration distribution in aquatic environments and biota, as well as its toxicological effects, remain scarce. Moreover, existing literature lacks systematic analyses of diverse aquatic environments and organisms. This review investigates the contamination levels of PFAS in aquatic environments. It also provides a systematic analysis of bioaccumulation in planktonic, swimming, and benthic organisms, including bioaccumulation factors (BAF), biomagnification factors (BMF), trophic magnification factors (TMF), and biota-sediment accumulation factors (BSAF), and evaluates the potential toxic effects on aquatic ecosystems. This study aims to provide theoretical support for the environmental regulation and management of PFAS. Additionally, it seeks to offer data references and potential research directions for future studies, thereby promoting the advancement of PFAS-related research and policy development.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.aquatox.2025.107469","usgsCitation":"Wang, C., Magnuson, J.T., Zheng, C., and Qiu, W., 2025, Incidence of pollution, bioaccumulation, biomagnification, and toxic effects of per- and polyfluoroalkyl substances (PFAS) in aquatic ecosystems: A review: Aquatic Toxicology, v. 286, 107469, 13 p., https://doi.org/10.1016/j.aquatox.2025.107469.","productDescription":"107469, 13 p.","ipdsId":"IP-177637","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":492009,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"286","noUsgsAuthors":false,"publicationDate":"2025-07-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Wang, Cunlong","contributorId":357778,"corporation":false,"usgs":false,"family":"Wang","given":"Cunlong","affiliations":[{"id":80251,"text":"Southern University of Science and Technology, China","active":true,"usgs":false}],"preferred":false,"id":942557,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":942558,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zheng, Chunmiao","contributorId":214041,"corporation":false,"usgs":false,"family":"Zheng","given":"Chunmiao","email":"","affiliations":[{"id":16675,"text":"U Alabama","active":true,"usgs":false}],"preferred":false,"id":942559,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":942560,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70268851,"text":"70268851 - 2025 - Environmental drivers of productivity explain population patterns of an Arctic-nesting goose across a half-century","interactions":[],"lastModifiedDate":"2025-07-08T15:11:20.461854","indexId":"70268851","displayToPublicDate":"2025-07-04T08:06:20","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Environmental drivers of productivity explain population patterns of an Arctic-nesting goose across a half-century","docAbstract":"

Joint estimation of demographic rates and population size has become an essential tool in ecology because it enables evaluating mechanisms for population change and testing hypotheses about drivers of demography in a single modeling framework. This approach provides a comprehensive perspective on population dynamics and how animal populations will respond to global pressures in future years. However, long-term data for such analyses are often limited in quantity and quality. We developed an integrated population model combining data on demography and population size from nine different sources to understand the population ecology of the lesser snow goose (Anser caerulescens caerulescens) in the Pacific Flyway in North America from 1970 to 2022. We divided the flyway population into Wrangel Island and Western Arctic subpopulations and assessed demographic mechanisms for population change and environmental and anthropogenic drivers that influenced demography. During 1970–2022, the estimated spring population of snow geese in the Pacific Flyway increased from ~300,000 to ~2,300,000. Short-term changes in population growth rate were primarily driven by changes in productivity in the Western Arctic and productivity and immigration in Wrangel Island. Changes in hunting and natural mortality had less influence on short-term but likely contributed to the pronounced long-term population growth. Early snowmelt positively influenced per capita productivity in both regions, and warm, rainy weather during the non-breeding season was associated with high per capita productivity in the Western Arctic. In the Western Arctic, per capita productivity was negatively associated with population size, and adult natural mortality was positively associated with population size, indicating density-dependent regulation in this subpopulation. In Wrangel Island, warm weather in early fall decreased juvenile natural mortality. Our results demonstrate that per capita productivity and immigration, rather than adult survival, were the primary mechanisms of short-term population change in this long-lived species. Our results also indicate that environmental conditions and density-dependent effects can impact population dynamics more than harvest, even for a long-lived, commonly harvested species. We demonstrate that a warming climate can have multiple effects on demography, emphasizing the importance of assessing a variety of spatial and temporal factors when predicting how populations might respond to large-scale environmental changes. This emphasizes the importance of conservation plans that consider these environmental drivers, although this may complicate direct management of such populations.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.70067","usgsCitation":"Piironen, A., Knetter, J.M., Spragens, K., Dooley, J., Patil, V.P., Reed, E.T., Ross, M.V., Gibson, D., Behney, A.C., Petrie, M.J., Sanders, T., and Weegman, M., 2025, Environmental drivers of productivity explain population patterns of an Arctic-nesting goose across a half-century: Ecological Applications, v. 35, no. 5, e70067, 20 p., https://doi.org/10.1002/eap.70067.","productDescription":"e70067, 20 p.","ipdsId":"IP-171089","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":492053,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eap.70067","text":"Publisher Index Page"},{"id":491799,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -172.08487226513222,\n 71.07063331009343\n ],\n [\n -130.11059707127987,\n 47.88329736127733\n ],\n [\n -122.71822143823626,\n 37.40446588527003\n ],\n [\n -108.72794113538995,\n 38.03038976203891\n ],\n [\n -101.96437027390297,\n 72.99933541265045\n ],\n [\n -172.08487226513222,\n 71.07063331009343\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"35","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-07-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Piironen, Antti","contributorId":357731,"corporation":false,"usgs":false,"family":"Piironen","given":"Antti","affiliations":[{"id":13248,"text":"University of Saskatchewan","active":true,"usgs":false}],"preferred":false,"id":942374,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knetter, Jeffrey 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vpatil@usgs.gov","orcid":"https://orcid.org/0000-0002-9357-194X","contributorId":203676,"corporation":false,"usgs":true,"family":"Patil","given":"Vijay","email":"vpatil@usgs.gov","middleInitial":"P.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":942378,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reed, Eric T.","contributorId":174421,"corporation":false,"usgs":false,"family":"Reed","given":"Eric","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":942379,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ross, Megan V.","contributorId":199265,"corporation":false,"usgs":false,"family":"Ross","given":"Megan","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":942380,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gibson, Daniel","contributorId":94984,"corporation":false,"usgs":false,"family":"Gibson","given":"Daniel","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":942381,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Behney, Adam C.","contributorId":171686,"corporation":false,"usgs":false,"family":"Behney","given":"Adam","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":942382,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Petrie, Mark J.","contributorId":214396,"corporation":false,"usgs":false,"family":"Petrie","given":"Mark","email":"","middleInitial":"J.","affiliations":[{"id":36215,"text":"Ducks Unlimited","active":true,"usgs":false}],"preferred":false,"id":942383,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sanders, Todd","contributorId":357733,"corporation":false,"usgs":false,"family":"Sanders","given":"Todd","affiliations":[{"id":85545,"text":"U.S. Fish and Wildlife Service, Division of Migratory Bird Management","active":true,"usgs":false}],"preferred":false,"id":942384,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Weegman, Mitch D.","contributorId":207459,"corporation":false,"usgs":false,"family":"Weegman","given":"Mitch D.","affiliations":[],"preferred":false,"id":942385,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70268886,"text":"70268886 - 2025 - The systematics of stable hydrogen (δ2H) and oxygen (δ18O) isotopes and tritium (3H) in the hydrothermal system of the Yellowstone Plateau volcanic field, USA","interactions":[],"lastModifiedDate":"2025-07-09T14:54:14.511597","indexId":"70268886","displayToPublicDate":"2025-07-04T07:48:50","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"The systematics of stable hydrogen (δ2H) and oxygen (δ18O) isotopes and tritium (3H) in the hydrothermal system of the Yellowstone Plateau volcanic field, USA","docAbstract":"

To improve our understanding of hydrothermal activity on the Yellowstone Plateau volcanic field, we collected and analyzed a large data set of δ2H, δ18O, and the 3H concentrations of circum-neutral and alkaline waters. We find that (a) hot springs are fed by recharge throughout the volcanic plateau, likely focused through fractured, permeable tuff units. Previous work had stressed the need for light δ2H water recharge restricted to the northern part of the plateau or recharge during past cold periods. However, new data from the Y-7 drill hole suggests that recharge is not restricted to a certain area or a cold period. (b) δ18O values of thermal waters in the geyser basins are shifted from the global meteoric water line by temperature-dependent water-rock reactions with higher subsurface temperatures resulting in a greater shift. (c) Large temporal variations in the isotopic composition of meteoric water recharge and small temporal variability in the isotopic composition of hot spring discharge implies that the volume of groundwater in, and around the Yellowstone caldera is substantially larger than the volume of annual water recharge. (d) Hot springs discharged through different rhyolitic units correlate with identifiable differences in δ2H and δ18O compositions, 3H concentrations, and water chemistry that imply equilibration at different temperatures and travel along different flow paths. (e) Based on measured 3H concentrations, we calculate that hot spring waters in the central part of the geyser basins mostly contain <2% post-1950 meteoric water, whereas waters discharged at the basin margins contain larger fractions of post-1950s meteoric water.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025GC012230","usgsCitation":"Hurwitz, S., McCleskey, R., Jurgens, B., Lowenstern, J.B., Clor, L., and Hunt, A.G., 2025, The systematics of stable hydrogen (δ2H) and oxygen (δ18O) isotopes and tritium (3H) in the hydrothermal system of the Yellowstone Plateau volcanic field, USA: Geochemistry, Geophysics, Geosystems, v. 26, no. 7, e2025GC012230, 19 p., https://doi.org/10.1029/2025GC012230.","productDescription":"e2025GC012230, 19 p.","ipdsId":"IP-174864","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":492080,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025gc012230","text":"Publisher Index Page"},{"id":491895,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone Plateau volcanic field","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.05101027973069,\n 44.981940603343645\n ],\n [\n -111.05101027973069,\n 43.58270636700257\n ],\n [\n -109.52640476499235,\n 43.58270636700257\n ],\n [\n -109.52640476499235,\n 44.981940603343645\n ],\n [\n -111.05101027973069,\n 44.981940603343645\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"26","issue":"7","noUsgsAuthors":false,"publicationDate":"2025-07-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Hurwitz, Shaul 0000-0001-5142-6886 shaulh@usgs.gov","orcid":"https://orcid.org/0000-0001-5142-6886","contributorId":2169,"corporation":false,"usgs":true,"family":"Hurwitz","given":"Shaul","email":"shaulh@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":942478,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCleskey, R. 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The Coconino aquifer was investigated as a potential groundwater resource for the Hopi Tribe and Navajo Nation in northeastern Arizona. Basic groundwater chemistry, including major ions, total dissolved solids, and selected trace metal concentrations, are presented and analyzed to characterize the Coconino aquifer. The geochemical compositions of groundwater are associated with changes in geology and groundwater movement and are compared to drinking-water standards to determine suitable areas for potential groundwater resource development. Dissolved-solids concentrations in much of the Coconino aquifer water were higher than the U.S. Environmental Protection Agency’s secondary drinking-water standard of 500 milligrams per liter (mg/L) due to a buried halite body in the southeastern part of the study area. However, trace metal concentrations were generally low. Groundwater may need to be treated for high dissolved-solids concentrations before it is suitable for use as a resource for the Hopi Tribe and Navajo Nation.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255038","collaboration":"Prepared in cooperation with the Hopi Tribe","usgsCitation":"Jones, C.J.R., 2025, Assessment of water chemistry of the Coconino aquifer in northeastern Arizona: U.S. Geological Survey Scientific Investigations Report 2025–5038, 30 p., https://doi.org/10.3133/sir20255038.","productDescription":"viii, 30 p.","onlineOnly":"Y","ipdsId":"IP-158121","costCenters":[],"links":[{"id":491712,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5038/images"},{"id":491711,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255038/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5038"},{"id":491709,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5038/coverthb.jpg"},{"id":491710,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5038/sir20255038.pdf","text":"Report","size":"6.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5038"},{"id":491713,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5038/sir20255038.XML"}],"country":"United States","state":"Arizona","otherGeospatial":"Coconino aquifer","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.25,\n 35.5\n ],\n [\n -111.25,\n 34.5\n ],\n [\n -109.5,\n 34.5\n ],\n [\n -109.5,\n 35.5\n ],\n [\n -111.25,\n 35.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, Arizona Water Science Center
520 N. Park Avenue, Suite 221
Tucson, AZ 85719

","tableOfContents":"","publishedDate":"2025-07-03","noUsgsAuthors":false,"publicationDate":"2025-07-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Jones, Casey J.R. 0000-0002-6991-8026","orcid":"https://orcid.org/0000-0002-6991-8026","contributorId":223364,"corporation":false,"usgs":true,"family":"Jones","given":"Casey","email":"","middleInitial":"J.R.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":942087,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70270037,"text":"70270037 - 2025 - Automated generation of an urban synthetic elevation checkpoint network across the North Carolina coastline, USA","interactions":[],"lastModifiedDate":"2025-08-08T15:33:12.382534","indexId":"70270037","displayToPublicDate":"2025-07-03T10:29:40","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9346,"text":"Science of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Automated generation of an urban synthetic elevation checkpoint network across the North Carolina coastline, USA","docAbstract":"

Lidar and structure from motion-derived digital elevation and surface models have widespread application. Consideration of a topographic model's vertical root mean squared error (RMSEz) and systematic directional bias is important for many of these applications, particularly landscape change detection and measurement. Due to logistic, resource, and time constraints, wide area remotely sensed topographic surveys are not always accompanied by an in situ checkpoint network for validating and characterizing survey error. Here we describe and test a method for automatically generating synthetic elevation checkpoints in bulk across hundreds of kilometers using a publicly available lidar-derived DEM time-series, road vector network, and landcover classification map. Our method produced 6000–10,000 synthetic checkpoints across the developed barrier island coastline of North Carolina. These checkpoints characterized vertical error metrics in a statistically similar way as in situ checkpoints when assessing the vertical accuracy of a contemporary lidar-derived DEM and produced RMSEz metrics an average of 0.018 m from the RMSEz of historical lidar DEMs published with tested accuracy metrics. This new method has the potential to A) lower the cost and time required to validate new remotely sensed topographic surveys by reducing or eliminating the field work associated with in situ checkpoint surveys, B) provide a means of retroactively assessing the absolute vertical accuracy and systematic bias of historical topographic datasets that were not published with tested accuracy metrics, and C) generate reference networks to assess and correct spatially variable patterns of vertical bias in topographic datasets.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.srs.2025.100252","usgsCitation":"Seymour, A.C., Kranenburg, C.J., and Doran, K., 2025, Automated generation of an urban synthetic elevation checkpoint network across the North Carolina coastline, USA: Science of Remote Sensing, v. 12, 100252, 16 p., https://doi.org/10.1016/j.srs.2025.100252.","productDescription":"100252, 16 p.","ipdsId":"IP-160786","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":494186,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.srs.2025.100252","text":"Publisher Index Page"},{"id":493850,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.25473663967196,\n 36.645619157350026\n ],\n [\n -76.25473663967196,\n 35.102166390295025\n ],\n [\n -75.37748509576826,\n 35.102166390295025\n ],\n [\n -75.37748509576826,\n 36.645619157350026\n ],\n [\n -76.25473663967196,\n 36.645619157350026\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"12","noUsgsAuthors":false,"publicationDate":"2025-07-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Seymour, Alexander C. 0000-0002-7680-6102","orcid":"https://orcid.org/0000-0002-7680-6102","contributorId":238616,"corporation":false,"usgs":true,"family":"Seymour","given":"Alexander","email":"","middleInitial":"C.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":945217,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kranenburg, Christine J. 0000-0002-2955-0167 ckranenburg@usgs.gov","orcid":"https://orcid.org/0000-0002-2955-0167","contributorId":169234,"corporation":false,"usgs":true,"family":"Kranenburg","given":"Christine","email":"ckranenburg@usgs.gov","middleInitial":"J.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":945218,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Doran, Kara S. 0000-0001-8050-5727","orcid":"https://orcid.org/0000-0001-8050-5727","contributorId":292448,"corporation":false,"usgs":true,"family":"Doran","given":"Kara S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":945219,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70270305,"text":"70270305 - 2025 - Future of coral bleaching research","interactions":[],"lastModifiedDate":"2025-08-15T14:17:12.614903","indexId":"70270305","displayToPublicDate":"2025-07-03T10:05:37","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"Future of coral bleaching research","docAbstract":"

Coral bleaching is the largest global threat to coral reef ecosystem persistence this century. Advancing our understanding of coral bleaching and developing solutions to protect corals and the reefs they support are critical. In the present article, we, the US National Science Foundation–funded Coral Bleaching Research Coordination Network, outline future directions for coral bleaching research. Specifically, we address the need for embedded inclusiveness, codevelopment, and capacity building as a foundation for excellence in coral bleaching research and the critical role of coral-bleaching science in shaping policy. We outline a path for research innovation and technology and propose the formation of an international coral bleaching consortium that, in coordination with existing multinational organizations, could be a hub for planning, coordinating, and integrating global-scale coral bleaching research, innovation, and mitigation strategies. This proposed strategy for future coral bleaching research could facilitate a step-function change in how we address the coral bleaching crisis.

","language":"English","publisher":"Oxford Academic","doi":"10.1093/biosci/biaf066","usgsCitation":"Grottoli, A.G., Hulver, A.M., Vega Thurber, R., Toonen, R.J., Schmeltzer, E.R., Kuffner, I.B., Barott, K.L., Baums, I.B., Castillo, K., Chapron, L., Coffroth, M.A., Combosch, D.J., Correa, A.M., Crandall, E.D., Donahue, M., Eirin-Lopez, J.M., Felis, T., Ferrier-Pages, C., Harrison, H.B., Heron, S.F., Huang, D., Humanes, A., Kenkel, C., Krueger, T., Madin, J., Matz, M.V., McManus, L.C., Medina, M., Muller, E.M., Padilla-Gamino, J., Putnam, H.M., Sawall, Y., Shlesinger, T., Sweet, M.J., Voolstra, C., Weis, V.M., Wild, C., and Wu, H.C., 2025, Future of coral bleaching research: BioScience, v. 75, no. 7, p. 585-598, https://doi.org/10.1093/biosci/biaf066.","productDescription":"14 p.","startPage":"585","endPage":"598","ipdsId":"IP-156575","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":494100,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":494203,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/biosci/biaf066","text":"Publisher Index Page"}],"volume":"75","issue":"7","noUsgsAuthors":false,"publicationDate":"2025-07-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Grottoli, Andrea G.","contributorId":359636,"corporation":false,"usgs":false,"family":"Grottoli","given":"Andrea","middleInitial":"G.","affiliations":[{"id":18155,"text":"The Ohio State University","active":true,"usgs":false}],"preferred":false,"id":945981,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hulver, Ann M.","contributorId":359639,"corporation":false,"usgs":false,"family":"Hulver","given":"Ann","middleInitial":"M.","affiliations":[{"id":18155,"text":"The Ohio State University","active":true,"usgs":false}],"preferred":false,"id":945982,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vega Thurber, R.","contributorId":267956,"corporation":false,"usgs":false,"family":"Vega Thurber","given":"R.","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":945983,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Toonen, R. 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Since the introduction of the Golden Pheasant (Chrysolophus pictus) to Haleakalā volcano, Maui, three decades ago, subsequent reports have hinted at an expansion of this nascent population. We draw from a variety of data sources to learn about this pheasant's present status on Maui. First, forest bird surveys conducted every five years revealed that the frequency of Golden Pheasant detections has greatly increased, and the bird has both maintained its former distribution and expanded eastward into Haleakalā National Park (NP). Second, reports to eBird from The Nature Conservancy's Waikamoi Preserve, where Golden Pheasants first appeared on Maui, demonstrate that the frequency of observations has increased and is strongly seasonal, predominantly in the spring. Third, autonomous recording units monitoring endangered forest birds recorded pheasants too, adding new locations. Finally, trail cameras set to monitor mammals picked up pheasants as well, showing males of two color morphs: original “wild-type” and “dark-throated.” Trail cameras also documented a small juvenile at Waikamoi Preserve and both females and males in Haleakalā NP. By “connecting the dots” of mapped occurrences, we traced the pheasant's progression through a narrow band of subalpine cloud forest with open understory, extending from Waikamoi Preserve eastward to upper Kīpahulu Valley, a distance of 14 km. In summary, this body of evidence supports the claim that the Golden Pheasant has established a self-sustaining population on Maui, and we propose that the species' success there may be attributed to the minimal influence of predators and the absence of competing gallinaceous birds in its preferred habitat.

","language":"English","publisher":"University of Hawaii Press","doi":"10.2984/78.4.1","usgsCitation":"Pratt, T.K., Warren, C.C., Kekiwi, E.K., Fay, K., and Camp, R.J., 2025, Ten more years of the golden pheasant (Chrysolophus pictus) on Maui, Hawaiian Islands: Pacific Science, v. 78, no. 4, p. 355-371, https://doi.org/10.2984/78.4.1.","productDescription":"17 p.","startPage":"355","endPage":"371","ipdsId":"IP-171318","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":498144,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Maui","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -156.60718271449002,\n 21.06109463949062\n ],\n [\n -156.69548094075728,\n 20.971539676885563\n ],\n [\n -156.70056496453796,\n 20.85631771784601\n ],\n [\n -156.60854222289032,\n 20.78741777171062\n ],\n [\n -156.48594150286743,\n 20.76772081952668\n ],\n [\n -156.46287324737793,\n 20.573460986016386\n ],\n [\n -156.29517632972727,\n 20.56497661349087\n ],\n [\n -155.98029474414102,\n 20.64452823662758\n ],\n [\n -155.95695885784536,\n 20.72185852025182\n ],\n [\n -155.9725123407022,\n 20.799219329794937\n ],\n [\n -156.30118642321142,\n 20.983835515492927\n ],\n [\n -156.4574209199721,\n 20.913841579975923\n ],\n [\n -156.53444892442297,\n 21.014762827333442\n ],\n [\n -156.60718271449002,\n 21.06109463949062\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"78","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-07-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Pratt, Thane K","contributorId":364605,"corporation":false,"usgs":false,"family":"Pratt","given":"Thane","middleInitial":"K","affiliations":[{"id":34926,"text":"Bishop Museum","active":true,"usgs":false}],"preferred":false,"id":952943,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warren, Christopher C","contributorId":364606,"corporation":false,"usgs":false,"family":"Warren","given":"Christopher","middleInitial":"C","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":952944,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kekiwi, Erika K","contributorId":364607,"corporation":false,"usgs":false,"family":"Kekiwi","given":"Erika","middleInitial":"K","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":952945,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fay, Kerri","contributorId":364614,"corporation":false,"usgs":false,"family":"Fay","given":"Kerri","affiliations":[{"id":86869,"text":"The Nature Conservancy Hawai‘i","active":true,"usgs":false}],"preferred":false,"id":952946,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Camp, Richard J. 0000-0001-7008-923X rick_camp@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-923X","contributorId":189964,"corporation":false,"usgs":true,"family":"Camp","given":"Richard","email":"rick_camp@usgs.gov","middleInitial":"J.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":952947,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70269446,"text":"70269446 - 2025 - Integrating contaminant source indicators, water quality measures, and ecotoxicity to characterize contaminant mixtures and per- and polyfluoroalkyl substances (PFAS) variability in an urban watershed","interactions":[],"lastModifiedDate":"2025-07-23T14:11:55.763418","indexId":"70269446","displayToPublicDate":"2025-07-03T09:03:46","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Integrating contaminant source indicators, water quality measures, and ecotoxicity to characterize contaminant mixtures and per- and polyfluoroalkyl substances (PFAS) variability in an urban watershed","docAbstract":"

Thousands of chemical contaminants threaten watersheds but are time and cost prohibitive to monitor. Identifying their sources, transport, and ecological risk is limited in heterogeneous urban watersheds. We present an integrative watershed approach using source-specific indicator compounds, common water quality measures, and ecotoxicity assays to examine the distribution of contaminant mixtures in an urbanized watershed. Indicator compound concentrations were temporally and spatially distributed for treated/untreated sewage (sucralose, artificial sweetener), road runoff (diphenyl-guanidine [DPG] and 6PPD-quinone [6PPD-Q], automobile tire additives), and lawncare runoff (aminomethanephosphonic acid (AMPA), major degradant of the herbicide glyphosate). Sucralose was predominately sourced from treated wastewater; measurable concentrations in tributaries indicated raw sewage inputs. DPG and 6PPD-Q concentrations correlated to road density during base flow and were elevated during stormflow. AMPA was measurable spring through fall, especially where lawns were dense. When specific sources dominated flow, water quality measures correlated with wastewater (sulfate, potassium, chloride, and sodium) and road runoff (chromium and lead) indicators. The limited behavioral toxicity observed in exposed zebrafish (Danio rerio) (18%) was not well explained by source-indicators. PFAS concentrations were highly variable spatially but not well explained by our source-specific indicator compounds. More costly compound-specific monitoring may be necessary when multiple sources exist or when unexpected toxicity trends occur.

","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.4c14607","usgsCitation":"Behrens, J.R., Joyce, A., Ferguson, P., Kolpin, D., Jayasundara, N., Barbo, N., and Bernhardt, E., 2025, Integrating contaminant source indicators, water quality measures, and ecotoxicity to characterize contaminant mixtures and per- and polyfluoroalkyl substances (PFAS) variability in an urban watershed: Environmental Science & Technology, v. 59, no. 27, p. 13958-13969, https://doi.org/10.1021/acs.est.4c14607.","productDescription":"12 p.","startPage":"13958","endPage":"13969","ipdsId":"IP-168094","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":501643,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12269787/","text":"External Repository"},{"id":492762,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Ellerbe Creek, New Hope Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -78.85,\n 36.1667\n ],\n [\n -79.25,\n 36.1667\n ],\n [\n -79.25,\n 35.9\n ],\n [\n -78.85,\n 35.9\n ],\n [\n -78.85,\n 36.1667\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"59","issue":"27","noUsgsAuthors":false,"publicationDate":"2025-07-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Behrens, J. R.","contributorId":358445,"corporation":false,"usgs":false,"family":"Behrens","given":"J.","middleInitial":"R.","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":943775,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Joyce, A.S.","contributorId":358448,"corporation":false,"usgs":false,"family":"Joyce","given":"A.S.","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":943776,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ferguson, P.L.","contributorId":358449,"corporation":false,"usgs":false,"family":"Ferguson","given":"P.L.","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":943777,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kolpin, Dana W. 0000-0002-3529-6505","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":204154,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"preferred":true,"id":943778,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jayasundara, N.","contributorId":358453,"corporation":false,"usgs":false,"family":"Jayasundara","given":"N.","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":943779,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Barbo, N.","contributorId":358455,"corporation":false,"usgs":false,"family":"Barbo","given":"N.","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":943780,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bernhardt, E.S.","contributorId":358457,"corporation":false,"usgs":false,"family":"Bernhardt","given":"E.S.","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":943781,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70271316,"text":"70271316 - 2025 - Organic matter availability and the production of methane-derived dissolved organic carbon at methane seeps","interactions":[],"lastModifiedDate":"2025-09-05T15:37:30.932084","indexId":"70271316","displayToPublicDate":"2025-07-03T08:32:19","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1836,"text":"Global Biogeochemical Cycles","active":true,"publicationSubtype":{"id":10}},"title":"Organic matter availability and the production of methane-derived dissolved organic carbon at methane seeps","docAbstract":"

Methane seeps located along continental margins and slopes export sedimentary methane and dissolved organic carbon (DOC) into the ocean. The flux of these reduced carbon molecules from the seafloor into the ocean impacts ocean chemistry and supports deep-sea life. While significant effort has been made to understand how the anaerobic oxidation of methane (AOM) regulates the release of methane from the seafloor, little is known about the production of DOC in association with AOM or its flux and fate in the ocean. We hypothesize a mechanism for methane incorporation into DOC at seeps and investigate the relationship between sediment total organic carbon (TOC) availability and the incorporation of methane-derived carbon into DOC at four methane seep regions along the Cascadia margin, with a range of microbial and thermogenic methane sources. At sites with <2.0 wt.% TOC (Hydrate Ridge and Bullseye Vent), up to 60%–80% of carbon in DOC is methane-carbon, much more than sites with >2.0 wt.% TOC (Astoria Canyon and Barkley Canyon). We attribute the greater methane contribution at the more TOC-limited sites to a greater role of AOM in the carbon cycle, whereas at the organic matter-rich sites, microbial competition for sulfate as an electron acceptor for organic matter decomposition limits AOM and hence the transfer of carbon from methane to DOC. We estimate that the global diffusive flux of methane-derived DOC from the seafloor is 0.07–10.1 Tg C/yr, contributing to the stock of DOC present in the deep ocean and/or fueling the deep-sea microbial loop.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025GB008535","usgsCitation":"Lalk, E., Pohlman, J., and Lapham, L., 2025, Organic matter availability and the production of methane-derived dissolved organic carbon at methane seeps: Global Biogeochemical Cycles, v. 39, no. 7, e2025GB008535, 18 p., https://doi.org/10.1029/2025GB008535.","productDescription":"e2025GB008535, 18 p.","ipdsId":"IP-175966","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":495202,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"California, Oregon, Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -127.24554665707825,\n 49.716337439221746\n ],\n [\n -127.24554665707825,\n 40.34256539782953\n ],\n [\n -123.01310989318125,\n 40.34256539782953\n ],\n [\n -123.01310989318125,\n 49.716337439221746\n ],\n [\n -127.24554665707825,\n 49.716337439221746\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"39","issue":"7","noUsgsAuthors":false,"publicationDate":"2025-07-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Lalk, Ellen Jennifer 0000-0002-9843-9278","orcid":"https://orcid.org/0000-0002-9843-9278","contributorId":350488,"corporation":false,"usgs":true,"family":"Lalk","given":"Ellen Jennifer","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":947968,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pohlman, John 0000-0002-3563-4586","orcid":"https://orcid.org/0000-0002-3563-4586","contributorId":220804,"corporation":false,"usgs":true,"family":"Pohlman","given":"John","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":947969,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lapham, Laura","contributorId":296666,"corporation":false,"usgs":false,"family":"Lapham","given":"Laura","affiliations":[{"id":64119,"text":"Chesapeake Biological Laboratory, University of Maryland Center for Environmental Science, Solomons, MD","active":true,"usgs":false}],"preferred":false,"id":947970,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70273905,"text":"70273905 - 2025 - Contaminated stormwater sediment source tracking for polychlorinated biphenyls in an urban watershed of the Chesapeake Bay, United States","interactions":[],"lastModifiedDate":"2026-02-13T15:35:19.238788","indexId":"70273905","displayToPublicDate":"2025-07-03T08:26:15","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2233,"text":"Journal of Contaminant Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Contaminated stormwater sediment source tracking for polychlorinated biphenyls in an urban watershed of the Chesapeake Bay, United States","docAbstract":"

Fine-grained sediment in stormwater acts as a vector for persistent organic pollutants, like polychlorinated biphenyls (PCBs), through mobilization from sources within drainage areas of impacted urban watersheds. This study implemented a novel approach to identify the relative contributions of various landscape and stream sources of sediment from the Back River watershed in eastern Baltimore, Maryland, and investigated the applicability of using trace PCBs found in an urban environment as discriminants between each source type. Trace PCBs were found to be poor discriminants when identifying the relative sediment contributions of watershed-scale land use categories. When excluding PCBs in the development of a sediment fingerprinting model and instead utilizing trace elements and carbon only, sediment fingerprint modeling successfully differentiated green spaces and eroding streambanks as the most significant contributors to stormwaters sediment (37.1 % and 44.0 %, respectively) of the total sediment contributions of all considered source categories. In all samples collected from various landscape sources, storms, and cores detectable concentrations of PCBs were measured. The results of this study indicate that sediment fingerprinting may not be an effective method in predicting where PCBs may be found within an impacted watershed.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jconhyd.2025.104657","usgsCitation":"Foss, E.P., Clifton, Z.J., Majcher, E.H., Needham, T.P., and Psoras, A.W., 2025, Contaminated stormwater sediment source tracking for polychlorinated biphenyls in an urban watershed of the Chesapeake Bay, United States: Journal of Contaminant Hydrology, v. 274, 104657, 16 p., https://doi.org/10.1016/j.jconhyd.2025.104657.","productDescription":"104657, 16 p.","ipdsId":"IP-177312","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":500086,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","city":"Baltimore","otherGeospatial":"Back River watershed, Chesapeake Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.50954075138807,\n 39.32799166380633\n ],\n [\n -76.50954075138807,\n 39.256713104432606\n ],\n [\n -76.43110757990168,\n 39.256713104432606\n ],\n [\n -76.43110757990168,\n 39.32799166380633\n ],\n [\n -76.50954075138807,\n 39.32799166380633\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"274","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Foss, Ellie P. 0000-0001-9090-4617","orcid":"https://orcid.org/0000-0001-9090-4617","contributorId":290902,"corporation":false,"usgs":true,"family":"Foss","given":"Ellie","middleInitial":"P.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955721,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clifton, Zachary J. 0000-0002-8148-5454","orcid":"https://orcid.org/0000-0002-8148-5454","contributorId":220551,"corporation":false,"usgs":true,"family":"Clifton","given":"Zachary","middleInitial":"J.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955722,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Majcher, Emily H. 0000-0001-7144-6809","orcid":"https://orcid.org/0000-0001-7144-6809","contributorId":203335,"corporation":false,"usgs":true,"family":"Majcher","given":"Emily","middleInitial":"H.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955723,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Needham, Trevor P. 0000-0001-9356-4216","orcid":"https://orcid.org/0000-0001-9356-4216","contributorId":245024,"corporation":false,"usgs":true,"family":"Needham","given":"Trevor","email":"","middleInitial":"P.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955724,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Psoras, Andrew W. 0000-0002-1779-5079","orcid":"https://orcid.org/0000-0002-1779-5079","contributorId":347166,"corporation":false,"usgs":true,"family":"Psoras","given":"Andrew","middleInitial":"W.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955725,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70268792,"text":"sir20255049 - 2025 - Completion summary for monitor wells NRF-17 and NRF-18 at the Naval Reactors Facility, Idaho National Laboratory, Idaho","interactions":[],"lastModifiedDate":"2026-01-26T19:27:33.044408","indexId":"sir20255049","displayToPublicDate":"2025-07-03T07:22:30","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":"2025-5049","displayTitle":"Completion Summary for Monitor Wells NRF-17 and NRF-18 at the Naval Reactors Facility, Idaho National Laboratory, Idaho","title":"Completion summary for monitor wells NRF-17 and NRF-18 at the Naval Reactors Facility, Idaho National Laboratory, Idaho","docAbstract":"

The U.S. Geological Survey (USGS)—in cooperation with the U.S. Department of Energy (DOE) for the Naval Reactors Laboratory Field Office that supports operations for the Naval Reactors Facility (NRF) located at the Idaho National Laboratory (INL)—drilled and constructed well NRF-17 (formerly borehole USGS 151) and well NRF-18 (formerly borehole USGS 152) for stratigraphic framework analyses and water-quality monitoring at the Idaho National Laboratory (INL) near the NRF, in southeastern Idaho. Borehole USGS 151 was continuously cored from about 48 to 1,070 feet (ft) below land surface (BLS); rotary drilled from approximately 1,070 to 1,720 ft BLS; and re-drilled to complete construction as a monitor well NRF-17, completed to 461 ft BLS. Borehole USGS 152 was continuously cored from approximately 19 to 1,259 ft BLS; rotary drilled from approximately 1,259 to 1,630 ft BLS; and re-drilled to complete construction as a monitor well NRF-18, completed to 450 ft BLS.

Geophysical data were examined with photographed core material to record lithologic descriptions and to suggest zones where groundwater flow was anticipated. Basalt flows varied from highly fractured to dense, with high-to-low vesiculation. Well NRF-17 generally was constructed in mostly dense basalt (greater than 75 percent), and well NRF-18 was constructed in primarily fractured and (or) vesicular basalt. In well NRF-17, the well capacity is directly affected by the limited amount of fractured basalt, which serves as the primary pathway for groundwater. This effect was observed during the pumping test conducted after the well's final construction.

Single-well aquifer tests were done at wells NRF-17 and NRF-18 to provide estimates of transmissivity and hydraulic conductivity after final well construction and initial well development. Estimated values of transmissivity and hydraulic conductivity for well NRF-17 were 8.81 feet squared per day (ft2/d) and 1.04×10-2 feet per day (ft/d), respectively. Estimated values of transmissivity and hydraulic conductivity for well NRF-18 were 4.77×103 ft2/d and 5.61 ft/d, respectively. The NRF-17 pump test resulted in 19.41 ft of measured drawdown at a sustained average pumping rate of 3.3 gallons per minute (gal/min). The NRF-18 pump test resulted in 0.55 ft of measured drawdown at a sustained average pumping rate of 31.0 gal/min.

Water-quality samples collected from the two wells were analyzed for cations, anions, metals, nutrients, volatile organic compounds, stable isotopes, and radionuclides. Water samples for select inorganic constituents showed concentrations consistent with signatures from tributary valley groundwater with influences from ephemeral surface-water recharge from the Big Lost River. Water-quality samples analyzed for stable isotopes of oxygen and hydrogen are consistent with signatures from tributary valley groundwater and surface-water recharge inputs to the aquifer. No measured water-quality results were greater than their respective maximum contaminant levels for public drinking-water supplies. Inorganic and nutrient water-quality results for well NRF-17 and well NRF-18 suggest the groundwater in this area is potentially affected by industrial wastewater disposal.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255049","collaboration":"Prepared in cooperation with the U.S. Department of Energy","programNote":"DOE/ID-22264","usgsCitation":"Twining, B.V., Treinen, K.C., and Zingre, J.A., 2025, Completion summary for monitor wells NRF-17 and NRF-18 at the Naval Reactors Facility, Idaho National Laboratory, Idaho: U.S. Geological Survey Scientific Investigations Report\n2025–5049, 37 p., https://doi.org/10.3133/sir20255049.","productDescription":"Report: vii, 37 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-159224","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":491691,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5049/images"},{"id":491690,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13URUXF","text":"USGS data release","description":"USGS data release","linkHelpText":"Single-well aquifer test data from wells NRF-17 and NRF-18, Idaho National Laboratory, Idaho"},{"id":499046,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118682.htm","linkFileType":{"id":5,"text":"html"}},{"id":491692,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5049/sir20255049.XML"},{"id":491688,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5049/sir20255049.pdf","size":"3.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5049"},{"id":491687,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5049/coverthb.jpg"},{"id":491689,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255049/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5049"}],"country":"United States","state":"Idaho","otherGeospatial":"Idaho National Laboratory, Naval Reactors Facility","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -112.5,\n 44\n ],\n [\n -113.5,\n 44\n ],\n [\n -113.5,\n 43.25\n ],\n [\n -112.5,\n 43.25\n ],\n [\n -112.5,\n 44\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, Idaho Water Science Center
U.S. Geological Survey
230 Collins Rd
Boise, Idaho 83702-4520

","tableOfContents":"","publishedDate":"2025-07-03","noUsgsAuthors":false,"publicationDate":"2025-07-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Twining, Brian V. 0000-0003-1321-4721 btwining@usgs.gov","orcid":"https://orcid.org/0000-0003-1321-4721","contributorId":2387,"corporation":false,"usgs":true,"family":"Twining","given":"Brian","email":"btwining@usgs.gov","middleInitial":"V.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941994,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Treinen, Kerri C. 0000-0003-0645-6810 ktreinen@usgs.gov","orcid":"https://orcid.org/0000-0003-0645-6810","contributorId":296540,"corporation":false,"usgs":true,"family":"Treinen","given":"Kerri","email":"ktreinen@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941995,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zingre, Jeffrey A. 0000-0001-8500-1026","orcid":"https://orcid.org/0000-0001-8500-1026","contributorId":357613,"corporation":false,"usgs":false,"family":"Zingre","given":"Jeffrey A.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":false,"id":941996,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70268791,"text":"gip252 - 2025 - The U.S. Geological Survey National Streamgage Network, 2024","interactions":[],"lastModifiedDate":"2025-07-07T14:37:05.363774","indexId":"gip252","displayToPublicDate":"2025-07-02T14:30:02","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"252","displayTitle":"The U.S. Geological Survey National Streamgage Network, 2024","title":"The U.S. Geological Survey National Streamgage Network, 2024","docAbstract":"

The U.S. Geological Survey (USGS) operated 12,165 continuous surface-water monitoring locations (streamgages) across the United States in 2024. The streamgages provide information on river height and streamflow, typically at 15-minute intervals. This information is then made available to everyone, most of it delivered nearly in realtime on the USGS National Water Dashboard.

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National Streamgage Networks Coordinator
Observing Systems Division
Water Mission Area
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192

","publishedDate":"2025-07-02","noUsgsAuthors":false,"publicationDate":"2025-07-02","publicationStatus":"PW","contributors":{"authors":[{"text":"McCallum, Brian E. 0000-0002-8935-0343 bemccall@usgs.gov","orcid":"https://orcid.org/0000-0002-8935-0343","contributorId":1591,"corporation":false,"usgs":true,"family":"McCallum","given":"Brian","email":"bemccall@usgs.gov","middleInitial":"E.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941992,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Riskin, Melissa L. 0000-0001-6499-3775 mriskin@usgs.gov","orcid":"https://orcid.org/0000-0001-6499-3775","contributorId":654,"corporation":false,"usgs":true,"family":"Riskin","given":"Melissa","email":"mriskin@usgs.gov","middleInitial":"L.","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941993,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70268798,"text":"70268798 - 2025 - Estimating earthquake source depth using teleseismic broadband waveform modeling at the USGS National Earthquake Information Center","interactions":[],"lastModifiedDate":"2025-11-18T16:54:14.031875","indexId":"70268798","displayToPublicDate":"2025-07-02T10:14:18","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Estimating earthquake source depth using teleseismic broadband waveform modeling at the USGS National Earthquake Information Center","docAbstract":"

The U.S. Geologic Survey National Earthquake Information Center (NEIC) monitors global seismicity, producing a catalog of earthquake source parameters in near-real-time to provide information that can help mitigate the societal impact of earthquakes. The NEIC commonly relies on teleseismic observations to constrain earthquake source parameters (e.g., location, depth, magnitude, and mechanism) due to a lack of local and regional observations. For these ‘teleseismic’ events, depth phase (i.e., pP, sP) arrival time observations provide the best estimate on source depth. However, depth phases are often difficult to accurately identify and/or pick. Therefore, NEIC relies on waveform modeling, such as those determined from W-phase (Mww), body wave (Mwb), and regional (Mwr) moment tensor estimations, to provide constraints on source depth. While depth estimates from these approaches are informative, higher frequency observations provide more precise estimates because depth phases are more prominently observed at higher frequencies. Here, we present NEIC’s relatively high-frequency (~0.04 to 1 Hz) teleseismic waveform modeling approach, termed Synthetic Depth Phase Modeling (SynDepth), for determining source depth. SynDepth was developed to provide NEIC with a tool that enables rapid, accurate, and quantifiable estimates of earthquake source depth in cases where locator depths are not reliable. This relatively simple and fast procedure searches over 1 km-incremented source depths and an expanding triangular source-time function to find the best-fitting solution. We compare automatic SynDepth solutions for a dataset of 1,216 earthquakes (M5.5-M7.6) between 2017 and 2021 to NEIC-derived depth estimates from other methods. Our approach provides a robust depth estimate for earthquakes lacking local arrival time data, and it minimizes the need for analyst review of depth-phase picks (pP, sP) or using predefined ‘fixed’ depths.

","language":"English","publisher":"GeoScienceWorld","doi":"10.1785/0220240372","usgsCitation":"Yeck, W.L., Herrmann, R., Patton, J., Barnhart, W.D., and Benz, H.M., 2025, Estimating earthquake source depth using teleseismic broadband waveform modeling at the USGS National Earthquake Information Center: Seismological Research Letters, v. 96, no. 6, p. 3643-3655, https://doi.org/10.1785/0220240372.","productDescription":"13 p.","startPage":"3643","endPage":"3655","ipdsId":"IP-167539","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":491836,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"96","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-07-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Yeck, William L. 0000-0002-2801-8873 wyeck@usgs.gov","orcid":"https://orcid.org/0000-0002-2801-8873","contributorId":147558,"corporation":false,"usgs":true,"family":"Yeck","given":"William","email":"wyeck@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":942024,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herrmann, Robert B.","contributorId":80255,"corporation":false,"usgs":false,"family":"Herrmann","given":"Robert B.","affiliations":[],"preferred":false,"id":942025,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patton, John 0000-0003-0142-5118","orcid":"https://orcid.org/0000-0003-0142-5118","contributorId":218681,"corporation":false,"usgs":true,"family":"Patton","given":"John","email":"","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":942026,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barnhart, William D. 0000-0003-0498-1697 wbarnhart@usgs.gov","orcid":"https://orcid.org/0000-0003-0498-1697","contributorId":294678,"corporation":false,"usgs":true,"family":"Barnhart","given":"William","email":"wbarnhart@usgs.gov","middleInitial":"D.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":942027,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Benz, Harley M. 0000-0002-6860-2134 benz@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-2134","contributorId":794,"corporation":false,"usgs":true,"family":"Benz","given":"Harley","email":"benz@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":942028,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70270182,"text":"70270182 - 2025 - Identification of novel hepaciviruses and Sylvilagus-associated viruses via metatranscriptomics in North American lagomorphs","interactions":[],"lastModifiedDate":"2025-08-13T14:37:13.893878","indexId":"70270182","displayToPublicDate":"2025-07-02T09:30:23","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5051,"text":"Virus Evolution","onlineIssn":"2057-1577","active":true,"publicationSubtype":{"id":10}},"title":"Identification of novel hepaciviruses and Sylvilagus-associated viruses via metatranscriptomics in North American lagomorphs","docAbstract":"

Cottontails (Sylvilagus spp.) and jackrabbits (Lepus spp.) within the Leporidae family are native to North America and are found in a wide range of habitats, including deserts, forests, and grasslands. Although there is a growing body of research describing the arrival of the highly virulent rabbit haemorrhagic disease virus 2 (RHDV2, GI.2) on this continent, and its impact on native lagomorphs, information about the natural virome and microbiome of healthy and deceased American lagomorphs is relatively limited. In this study, we used a meta-transcriptomics approach to conduct whole pathogen profiling on healthy and deceased animals in the USA. We analysed 48 matched liver and lung sample pools from apparently healthy cottontails and jackrabbits in Texas and an additional 48 liver samples from deceased animals from nine other US states. This approach enabled the discovery of three distinct new viruses and revealed additional new insights into the lung and liver microbiomes of North American lagomorphs. Of the three new viruses, a tetnovirus and a novel picorna-like virus were likely of insect origin and therefore considered environmental contaminants. Of particular interest was a new species of hepacivirus, with around 50% sequence identity to a known hepacivirus from a xeric four-striped grass rat (Rhabdomys pumilio). Phylogenetic analysis from 41 individual hepacivirus genomes recovered from our lagomorph samples revealed two distinct clades, corresponding with different cottontail species. No hepaciviruses were detected in any of the jackrabbit samples. This is the first description of a hepacivirus in lagomorphs. Our findings extend the Hepacivirus genus, provide new insights into its evolution, and describe the first baseline on microbial diversity in North American lagomorphs, an important step towards understanding the role of potential pathogens for population management and conservation.

","language":"English","publisher":"Oxford Academic","doi":"10.1093/ve/veaf050","usgsCitation":"Jenckel, M., Chang, W., Wright, E.A., Bradley, R., Dusek, R.J., Ip, H., Hall, R., Smith, I., and Strive, T., 2025, Identification of novel hepaciviruses and Sylvilagus-associated viruses via metatranscriptomics in North American lagomorphs: Virus Evolution, v. 11, no. 1, veaf050, 15 p., https://doi.org/10.1093/ve/veaf050.","productDescription":"veaf050, 15 p.","ipdsId":"IP-174217","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":494199,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ve/veaf050","text":"Publisher Index Page"},{"id":494023,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Iowa, Massachusetts, Montana, Nevada, New Hampshire, New Mexico, Oregon, Texas, 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\"}}]}","volume":"11","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-07-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Jenckel, Maria","contributorId":359495,"corporation":false,"usgs":false,"family":"Jenckel","given":"Maria","affiliations":[{"id":85831,"text":"Health and Biosecurity, CSIRO, Acton, ACT 2601, Australia","active":true,"usgs":false}],"preferred":false,"id":945689,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chang, Wei-Shan","contributorId":359496,"corporation":false,"usgs":false,"family":"Chang","given":"Wei-Shan","affiliations":[{"id":85831,"text":"Health and Biosecurity, CSIRO, Acton, ACT 2601, Australia","active":true,"usgs":false}],"preferred":false,"id":945690,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright, Emily A.","contributorId":359497,"corporation":false,"usgs":false,"family":"Wright","given":"Emily","middleInitial":"A.","affiliations":[{"id":85834,"text":"Natural Science Research Laboratory, Museum of Texas Tech University, Lubbock, TX","active":true,"usgs":false}],"preferred":false,"id":945691,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bradley, Robert D.","contributorId":192530,"corporation":false,"usgs":false,"family":"Bradley","given":"Robert D.","affiliations":[],"preferred":false,"id":945692,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dusek, Robert J. 0000-0001-6177-7479 rdusek@usgs.gov","orcid":"https://orcid.org/0000-0001-6177-7479","contributorId":174374,"corporation":false,"usgs":true,"family":"Dusek","given":"Robert","email":"rdusek@usgs.gov","middleInitial":"J.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":945693,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ip, Hon S. 0000-0003-4844-7533","orcid":"https://orcid.org/0000-0003-4844-7533","contributorId":126815,"corporation":false,"usgs":true,"family":"Ip","given":"Hon S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":945694,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hall, Robyn","contributorId":359498,"corporation":false,"usgs":false,"family":"Hall","given":"Robyn","affiliations":[{"id":85831,"text":"Health and Biosecurity, CSIRO, Acton, ACT 2601, Australia","active":true,"usgs":false}],"preferred":false,"id":945695,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Smith, Ina","contributorId":359499,"corporation":false,"usgs":false,"family":"Smith","given":"Ina","affiliations":[{"id":85831,"text":"Health and Biosecurity, CSIRO, Acton, ACT 2601, Australia","active":true,"usgs":false}],"preferred":false,"id":945696,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Strive, Tanja","contributorId":359500,"corporation":false,"usgs":false,"family":"Strive","given":"Tanja","affiliations":[{"id":85831,"text":"Health and Biosecurity, CSIRO, Acton, ACT 2601, Australia","active":true,"usgs":false}],"preferred":false,"id":945697,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70268796,"text":"70268796 - 2025 - 2024 Surprise Inlet landslides: Insights from a prototype landslide‐triggered tsunami monitoring system in Prince William Sound, Alaska","interactions":[],"lastModifiedDate":"2025-07-08T16:16:15.639994","indexId":"70268796","displayToPublicDate":"2025-07-02T09:12:05","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"2024 Surprise Inlet landslides: Insights from a prototype landslide‐triggered tsunami monitoring system in Prince William Sound, Alaska","docAbstract":"

Alaska's coastal communities face growing landslide hazards owing to glacier retreat and extreme weather intensified by the warming climate, yet hazard monitoring remains challenging. As part of ongoing experimental monitoring in Prince William Sound, we detected three large landslides (0.5–2.3 M m3) at Surprise Inlet on 20 September 2024, within the span of an hour. These events were identified in near real-time through seismic data and later confirmed using satellite imagery, tidal records, and infrasound. The landslides generated a modest tsunami, and a 4 cm wave was recorded by a tide gauge 18 km away, marking the first recorded landslide to reach water since monitoring began in this region in 2021. Here, we examine the detection and interpretation of these landslides using multiple data sources and modeling. We demonstrate the effectiveness of this regional seismic monitoring system and show how complementary instrumentation, where available, can enhance detection capabilities.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025GL115911","usgsCitation":"Karasozen, E., West, M.E., Barnhart, K.R., Lyons, J.J., Nichols, T., Schaefer, L.N., Bahng, B., Ohlendorf, S., Staley, D.M., and Wolken, G.J., 2025, 2024 Surprise Inlet landslides: Insights from a prototype landslide‐triggered tsunami monitoring system in Prince William Sound, Alaska: Geophysical Research Letters, v. 52, no. 13, e2025GL115911, 11 p., https://doi.org/10.1029/2025GL115911.","productDescription":"e2025GL115911, 11 p.","ipdsId":"IP-176964","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":492061,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025gl115911","text":"Publisher Index Page"},{"id":491813,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Prince William Sound","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -148.69339399398933,\n 61.18214394792622\n ],\n [\n -148.69339399398933,\n 59.91280847695441\n ],\n [\n -145.64673816140657,\n 59.91280847695441\n ],\n [\n -145.64673816140657,\n 61.18214394792622\n ],\n [\n -148.69339399398933,\n 61.18214394792622\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"52","issue":"13","noUsgsAuthors":false,"publicationDate":"2025-07-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Karasozen, Ezgi 0000-0003-1140-1427","orcid":"https://orcid.org/0000-0003-1140-1427","contributorId":244223,"corporation":false,"usgs":false,"family":"Karasozen","given":"Ezgi","email":"","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":942014,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"West, Michael E.","contributorId":147407,"corporation":false,"usgs":false,"family":"West","given":"Michael","email":"","middleInitial":"E.","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":942015,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnhart, Katherine R. 0000-0001-5682-455X","orcid":"https://orcid.org/0000-0001-5682-455X","contributorId":257870,"corporation":false,"usgs":true,"family":"Barnhart","given":"Katherine","email":"","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":942016,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lyons, John J. 0000-0001-5409-1698 jlyons@usgs.gov","orcid":"https://orcid.org/0000-0001-5409-1698","contributorId":5394,"corporation":false,"usgs":true,"family":"Lyons","given":"John","email":"jlyons@usgs.gov","middleInitial":"J.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":942017,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nichols, Terry","contributorId":357616,"corporation":false,"usgs":false,"family":"Nichols","given":"Terry","affiliations":[{"id":85473,"text":"National Tsunami Warning Center, Palmer, Alaska, USA","active":true,"usgs":false}],"preferred":false,"id":942018,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schaefer, Lauren N. 0000-0003-3216-7983","orcid":"https://orcid.org/0000-0003-3216-7983","contributorId":241997,"corporation":false,"usgs":true,"family":"Schaefer","given":"Lauren","email":"","middleInitial":"N.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":942019,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bahng, Bohyun","contributorId":357617,"corporation":false,"usgs":false,"family":"Bahng","given":"Bohyun","affiliations":[{"id":85473,"text":"National Tsunami Warning Center, Palmer, Alaska, USA","active":true,"usgs":false}],"preferred":false,"id":942020,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ohlendorf, Summer","contributorId":357618,"corporation":false,"usgs":false,"family":"Ohlendorf","given":"Summer","affiliations":[{"id":85473,"text":"National Tsunami Warning Center, Palmer, Alaska, USA","active":true,"usgs":false}],"preferred":false,"id":942021,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Staley, Dennis M. 0000-0002-2239-3402 dstaley@usgs.gov","orcid":"https://orcid.org/0000-0002-2239-3402","contributorId":4134,"corporation":false,"usgs":true,"family":"Staley","given":"Dennis","email":"dstaley@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":942022,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wolken, Gabriel J.","contributorId":221149,"corporation":false,"usgs":false,"family":"Wolken","given":"Gabriel","email":"","middleInitial":"J.","affiliations":[{"id":40336,"text":"Alaska Department of Natural Resources: Division of Geological and Geophysical Surveys","active":true,"usgs":false}],"preferred":false,"id":942023,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70270648,"text":"70270648 - 2025 - A newly identified creeping strand of the Concord fault, San Francisco Bay Area","interactions":[],"lastModifiedDate":"2025-11-20T16:54:22.023632","indexId":"70270648","displayToPublicDate":"2025-07-02T08:52:02","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"A newly identified creeping strand of the Concord fault, San Francisco Bay Area","docAbstract":"

The Concord fault constitutes a major branch of the Pacific–North America transform plate boundary in Northern California, bridging the strike‐slip Bartlett Springs ‐ Green Valley Fault system to the north with the Greenville and Calaveras Faults to the south. Like many faults in the San Francisco Bay Area its long‐term slip is partially accommodated by aseismic slip (creep). Although creep has been recognized and monitored on the northern half of the fault for decades, the precise location of the southern half of the fault and its slip rate—whether accommodated seismically or aseismically—has remained enigmatic. How slip transfers between the Concord and Greenville or Calaveras faults to the south remains an outstanding question. New field observations presented here indicate that the active trace of the fault south of downtown Concord is not where previously interpreted and is indeed actively creeping. We report observations of shallow creep continuing >7 km farther south along the Concord fault than previously reported, along a fault strand not previously recognized for most of its length. This is evident as right‐laterally deflected concrete curbs and sidewalk slabs on both sides of every street that crosses the fault at a high angle in southeast Concord and northeast Walnut Creek. We document the magnitude and location of these deflections to estimate accumulated right‐lateral aseismic slip expressed in engineered structures. Offsets of these piercing lines range from 8 to 18 cm, over widths varying from narrow breaks along centimeter‐scale concrete joints to 10‐m‐wide zones of deflection. Significantly, this active trace is ∼400 m west of where the Quaternary active trace has previously been inferred, placing it within—rather than bounding—the built area of suburban Concord. Slip along the fault has already caused infrastructure damage. These results revise our understanding of the southern Concord fault and help constrain its seismic potential.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220240454","usgsCitation":"Elliott, A.J., Madugo, D., and Vermeer, J., 2025, A newly identified creeping strand of the Concord fault, San Francisco Bay Area: Seismological Research Letters, v. 96, no. 6, p. 3837-3848, https://doi.org/10.1785/0220240454.","productDescription":"12 p.","startPage":"3837","endPage":"3848","ipdsId":"IP-170989","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":494466,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0220240454","text":"Publisher Index Page"},{"id":494392,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.06266782438118,\n 38.302124714343165\n ],\n [\n -123.06266782438118,\n 37.04075782946633\n ],\n [\n -121.22222480721942,\n 37.04075782946633\n ],\n [\n -121.22222480721942,\n 38.302124714343165\n ],\n [\n -123.06266782438118,\n 38.302124714343165\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"96","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-07-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Elliott, Austin John 0000-0001-5924-7268","orcid":"https://orcid.org/0000-0001-5924-7268","contributorId":248824,"corporation":false,"usgs":true,"family":"Elliott","given":"Austin","email":"","middleInitial":"John","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":946739,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Madugo, Danielle","contributorId":360036,"corporation":false,"usgs":false,"family":"Madugo","given":"Danielle","affiliations":[{"id":12640,"text":"California Geological Survey","active":true,"usgs":false}],"preferred":false,"id":946740,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vermeer, Jessica 0000-0001-8349-0137","orcid":"https://orcid.org/0000-0001-8349-0137","contributorId":295930,"corporation":false,"usgs":true,"family":"Vermeer","given":"Jessica","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":946741,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70269945,"text":"70269945 - 2025 - Estimating mortality of Lake Sturgeon in the Lake Winnebago system using traditional age-based approaches and capture–recapture models","interactions":[],"lastModifiedDate":"2025-08-18T15:25:53.813171","indexId":"70269945","displayToPublicDate":"2025-07-02T08:29:07","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Estimating mortality of Lake Sturgeon in the Lake Winnebago system using traditional age-based approaches and capture–recapture models","docAbstract":"

Objective

The Lake Winnebago system in Wisconsin supports a popular winter spear fishery for Lake Sturgeon Acipenser fulvescens. Setting harvest caps for this fishery relies on estimating instantaneous natural mortality rate (M), which can be done using age-based approaches or capture–recapture models that incorporate recoveries of fish with passive integrated transponder (PIT) tags or detections of fish with acoustic transmitters. Our objectives were to determine (1) if recent estimates of exploitation (u) have exceeded the 5% harvest cap, (2) if M and total mortality rates are similar among estimation methods that rely on age estimates or capture–recapture methods, and (3) if potential differences in mortality estimates would affect harvest caps.

Methods

Harvest of PIT-tagged fish was used to evaluate u from 2010 to 2019. Catch curves incorporating corrected fin ray ages were used to estimate total mortality and M for fish collected from 2010 to 2019. Capture–recapture models were used to estimate annual survival and M from detections of fish with acoustic transmitters from 2007 to 2019 and recoveries of PIT-tagged fish from 1999 to 2020. Mortality estimates were used to calculate and compare sex-specific harvest caps among estimation methods.

Results

Observed u did not exceed 5% for either sex between 2010 and 2019. Estimates of M varied among methods (males: M = 0.001–0.134; females: M = 0.001–0.131), with PIT-based models consistently providing the lowest and telemetry-based models providing the highest estimates. Simulations indicated that female u has limited potential to exceed 5% if M from fin ray ages or telemetry is used to set harvest caps, while PIT-based simulations showed no indication of cap exceedance.

Conclusions

Harvest management practices in the Lake Winnebago system appear to have kept Lake Sturgeon exploitation below the 5% harvest cap from 2010 to 2019. Capture–recapture models relying on PIT tags appear to provide the most precise approach for setting harvest caps for this fishery.

","language":"English","publisher":"American Fisheries Society","doi":"10.1093/najfmt/vqaf044","usgsCitation":"Shrovnal, J., Stadig, M., Raabe, J., and Isermann, D.A., 2025, Estimating mortality of Lake Sturgeon in the Lake Winnebago system using traditional age-based approaches and capture–recapture models: North American Journal of Fisheries Management, v. 45, no. 4, p. 616-632, https://doi.org/10.1093/najfmt/vqaf044.","productDescription":"17 p.","startPage":"616","endPage":"632","ipdsId":"IP-171106","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":493716,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Lake Winnebago","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -88.55626587032395,\n 44.217649685789354\n ],\n [\n -88.55626587032395,\n 43.78463531825764\n ],\n [\n -88.25352305766155,\n 43.78463531825764\n ],\n [\n -88.25352305766155,\n 44.217649685789354\n ],\n [\n -88.55626587032395,\n 44.217649685789354\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"45","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-07-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Shrovnal, Jeremiah S.","contributorId":359167,"corporation":false,"usgs":false,"family":"Shrovnal","given":"Jeremiah S.","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":945008,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stadig, Margaret H.","contributorId":359168,"corporation":false,"usgs":false,"family":"Stadig","given":"Margaret H.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":945009,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Raabe, Joshua K.","contributorId":348735,"corporation":false,"usgs":false,"family":"Raabe","given":"Joshua K.","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":945010,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":945011,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}