Self-potential (SP) monitoring is increasingly used for subsurface flow characterization due to its sensitivity to hydrogeological and geochemical processes. However, SP inversion remains challenging due to its ill-posed nature, sparse data coverage, and strong transient noise. This study proposes a hybrid framework to image hyporheic exchange using a time-lapse SP data set monitored from a streamflow site in Oak Ridge, Tennessee. Dipole moment tomography grids generated from the physics-informed numerical inversion is first used to train a Vision Transformer (ViT) model that maps surface SP sequences to 2D source distributions. While the numerical method is more responsive to transient signals, the ViT model better captures persistent spatial structures. Their complementary outputs are jointly analyzed in the spatiotemporal domain to isolate dynamic hyporheic exchange zones and distinguish transient from steady state subsurface flow features. This approach integrates physical inversion and deep learning to enhance interpretability, generalization, and temporal awareness in SP analysis.
","language":"English","publisher":"Americal Geophysical Union","doi":"10.1029/2025GL118772","usgsCitation":"Yin, H., Ikard, S., Rucker, D.F., Brooks, S.C., Dai, Z., Carroll, K.C., 2025, Imaging hyporheic exchange by integrating deep learning and physics-informed inversion of time-lapse self-potential data: Geophysical Research Letters, v. 52, no. 21, e2025GL118772, 11 p., https://doi.org/10.1029/2025GL118772.","productDescription":"e2025GL118772, 11 p.","ipdsId":"IP-180027","costCenters":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":500584,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025gl118772","text":"Publisher Index Page"},{"id":500417,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"21","noUsgsAuthors":false,"publicationDate":"2025-11-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Yin, Huichao 0000-0001-6172-5580","orcid":"https://orcid.org/0000-0001-6172-5580","contributorId":366938,"corporation":false,"usgs":false,"family":"Yin","given":"Huichao","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":956406,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ikard, Scott 0000-0002-8304-4935","orcid":"https://orcid.org/0000-0002-8304-4935","contributorId":201775,"corporation":false,"usgs":true,"family":"Ikard","given":"Scott","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":956407,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rucker, Dale F. 0000-0002-8930-2747","orcid":"https://orcid.org/0000-0002-8930-2747","contributorId":294463,"corporation":false,"usgs":false,"family":"Rucker","given":"Dale","email":"","middleInitial":"F.","affiliations":[{"id":63573,"text":"hydroGEOPHYSICS, Inc.","active":true,"usgs":false}],"preferred":false,"id":956408,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brooks, Scott C. 0000-0002-8437-9788","orcid":"https://orcid.org/0000-0002-8437-9788","contributorId":294464,"corporation":false,"usgs":false,"family":"Brooks","given":"Scott","email":"","middleInitial":"C.","affiliations":[{"id":37070,"text":"Oak Ridge National Laboratory","active":true,"usgs":false}],"preferred":false,"id":956409,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dai, Zhenxue 0000-0002-0805-7621","orcid":"https://orcid.org/0000-0002-0805-7621","contributorId":366941,"corporation":false,"usgs":false,"family":"Dai","given":"Zhenxue","affiliations":[{"id":87510,"text":"Jilin University","active":true,"usgs":false}],"preferred":false,"id":956410,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carroll, Kenneth C. 0000-0003-2097-9589","orcid":"https://orcid.org/0000-0003-2097-9589","contributorId":247827,"corporation":false,"usgs":false,"family":"Carroll","given":"Kenneth","email":"","middleInitial":"C.","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":956411,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70272202,"text":"70272202 - 2025 - Missing data in ecology: Syntheses, clarifications, and considerations","interactions":[],"lastModifiedDate":"2025-11-19T16:17:18.846028","indexId":"70272202","displayToPublicDate":"2025-11-05T10:14:01","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1459,"text":"Ecological Monographs","active":true,"publicationSubtype":{"id":10}},"title":"Missing data in ecology: Syntheses, clarifications, and considerations","docAbstract":"In ecology and related sciences, missing data are common and occur in a variety of different contexts. When missing data are not handled properly, subsequent statistical estimates tend to be biased, inefficient, and lack proper confidence interval coverage. Missing data are often grouped into three categories: missing completely at random (MCAR), missing at random (MAR), and missing not at random (MNAR). We review each category and compare their benefits and drawbacks. We review several approaches to handling missing data including complete case analysis, imputation, inverse probability weighting, and data augmentation. We clarify what types of variables should accompany imputation methods and how those variables are influenced by the analysis methods. Additionally, we discuss missing data that lack a formal basis for measurement and hence are fundamentally different from MCAR, MAR, and MNAR missing data. Throughout, we introduce concepts and numeric examples using both simulated data and data from the United States Environmental Protection Agency's 2016 National Wetland Condition Assessment. We conclude by providing five considerations for ecologists and other scientists handling missing data.
","language":"English","publisher":"Elsevier","doi":"10.1002/ecm.70037","usgsCitation":"Dumelle, M., Trangucci, R., Nahlik, A.M., Olsen, A.R., Irvine, K., Blocksom, K.A., Ver Hoef, J., and Fuentes, C., 2025, Missing data in ecology: Syntheses, clarifications, and considerations: Ecological Monographs, v. 95, no. 4, e70037, 41 p., https://doi.org/10.1002/ecm.70037.","productDescription":"e70037, 41 p.","ipdsId":"IP-174769","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":496750,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecm.70037","text":"Publisher Index Page"},{"id":496645,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"95","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-11-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Dumelle, Michael 0000-0002-3393-5529","orcid":"https://orcid.org/0000-0002-3393-5529","contributorId":355601,"corporation":false,"usgs":false,"family":"Dumelle","given":"Michael","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":950423,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Trangucci, Rob","contributorId":362469,"corporation":false,"usgs":false,"family":"Trangucci","given":"Rob","affiliations":[],"preferred":false,"id":950544,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nahlik, Amanda M. 0000-0003-0591-375X","orcid":"https://orcid.org/0000-0003-0591-375X","contributorId":272622,"corporation":false,"usgs":false,"family":"Nahlik","given":"Amanda","email":"","middleInitial":"M.","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":950425,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Olsen, Anthony R","contributorId":362407,"corporation":false,"usgs":false,"family":"Olsen","given":"Anthony","middleInitial":"R","affiliations":[{"id":37230,"text":"EPA","active":true,"usgs":false}],"preferred":false,"id":950424,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Irvine, Kathryn 0000-0002-6426-940X","orcid":"https://orcid.org/0000-0002-6426-940X","contributorId":220632,"corporation":false,"usgs":true,"family":"Irvine","given":"Kathryn","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":950426,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blocksom, Karen A. 0000-0003-4606-7430","orcid":"https://orcid.org/0000-0003-4606-7430","contributorId":329596,"corporation":false,"usgs":false,"family":"Blocksom","given":"Karen","email":"","middleInitial":"A.","affiliations":[{"id":37230,"text":"EPA","active":true,"usgs":false}],"preferred":false,"id":950427,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ver Hoef, Jay","contributorId":177840,"corporation":false,"usgs":false,"family":"Ver Hoef","given":"Jay","affiliations":[],"preferred":false,"id":950428,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fuentes, Claudio","contributorId":245477,"corporation":false,"usgs":false,"family":"Fuentes","given":"Claudio","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":950429,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70273444,"text":"70273444 - 2025 - Assessment of coastal and fluvial morphodynamic changes using Structure-for-Motion: A case study of the Sfȃntu Gheorghe Mouth (Danube Delta, Romania)","interactions":[],"lastModifiedDate":"2026-01-14T15:28:25.24061","indexId":"70273444","displayToPublicDate":"2025-11-05T09:22:13","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Assessment of coastal and fluvial morphodynamic changes using Structure-for-Motion: A case study of the Sfȃntu Gheorghe Mouth (Danube Delta, Romania)","docAbstract":"The ability to accurately map erosion, flooding, and habitat loss in coastal environments is crucial for formulating national strategies aimed at preventing and mitigating the impacts of natural disasters. A fundamental component of this process is the implementation of coastal morphodynamics monitoring through Structure-from-Motion (SfM) techniques, utilizing high-resolution 2D/3D data obtained from aerial photogrammetry. To assess morphodynamic changes over a three-year period (2022 – 2024), several SfM-based photogrammetric studies were conducted, each year, in the Romanian sector of the Danube-Black Sea coastal zone, specifically at the mouth of one of the Danube River distributaries (Sf Gheorghe branch) into the Black Sea, and along the left bank, near Sf Gheorghe locality, located within the Danube Delta Biosphere Reserve (DDBR). The essential equipment for aerial photogrammetry comprises Unmanned Aerial Vehicles (UAVs) and Global Navigation Satellite Systems (GNSS). In this study, the UAV used was a DJI Mavic 3T (Enterprise/Thermal) drone, complemented by two Trimble R12i and R4 GNSS systems, as well as approximately 10 Ground Control Points (GCPs). Data acquisition and processing were carried out using specialized photogrammetric software (Agisoft Metashape) along with various GIS tools (e.g., Blue Marble Geographics Global Mapper and ESRI ArcMap). The photogrammetric products generated for the study, as detailed in this paper, include Digital Elevation Models (DEMs), Digital Terrain Models (DTMs), orthomosaics (orthophotos), and others. At Sfântu Gheorghe beach, a comparison between 2023 and 2024 photogrammetric surveys revealed that the left bank of the Sf. Gheorghe Arm, at the river mouth into the Black Sea, suffered from a twist (erosion) of up to 64 metres. Additionally, on the selected perimetre (total area of 31,910 square meters ) from the beach and dune zone of Sf. Gheorghe, an area of up to 16,202 square meters was eroded between 2023 and 2024. This contrasts with the period between 2022 and 2023, during which deposition predominated. Erosion at the Danube mouths and the adjacent Black Sea coastline is driven by a complex interaction of natural and anthropogenic factors. Natural processes, including subsidence, sea-level rise, and episodic extreme storm events, contribute significantly to coastal dynamics. Meanwhile, human-induced factors, such as upstream hydrotechnical works that limits sediment transport, cutting of navigation canals, as well as the exacerbating effects of climate change, further accelerate erosion. The recent Structure-from-Motion (SfM) surveys provide essential quantitative data, enabling a detailed analysis of both short-term and long-term morphodynamic changes influenced by seasonal variations and extreme hydrometeorological events in this highly dynamic coastal system.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of Inżynieria Mineralna WMCEES 2025","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Polish Mineral Engineering Society","doi":"10.29227/IM-2025-02-03-15","usgsCitation":"Dragos, A.G., Iordache, G., Dutu, F., Palaseanu-Lovejoy, M., Pitea, F., Stanciu, I., and Stanica, A., 2025, Assessment of coastal and fluvial morphodynamic changes using Structure-for-Motion: A case study of the Sfȃntu Gheorghe Mouth (Danube Delta, Romania), in Proceedings of Inżynieria Mineralna WMCEES 2025, v. 3, no. 2, 9 p., https://doi.org/10.29227/IM-2025-02-03-15.","productDescription":"9 p.","ipdsId":"IP-183130","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":498701,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.29227/im-2025-02-03-15","text":"Publisher Index Page"},{"id":498610,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Romania","otherGeospatial":"Sfȃntu Gheorghe Mouth (Danube Delta)","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 29.533907040308605,\n 44.932418076703044\n ],\n [\n 29.533907040308605,\n 44.86262917846662\n ],\n [\n 29.630386502266845,\n 44.86262917846662\n ],\n [\n 29.630386502266845,\n 44.932418076703044\n ],\n [\n 29.533907040308605,\n 44.932418076703044\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"3","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-11-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Dragos, Andrei Gabriel 0000-0003-3268-8615","orcid":"https://orcid.org/0000-0003-3268-8615","contributorId":365121,"corporation":false,"usgs":false,"family":"Dragos","given":"Andrei","middleInitial":"Gabriel","affiliations":[{"id":87048,"text":"National Research and Development Institute for Marine Geology and Geoecology, GeoEcoMar, Romania","active":true,"usgs":false}],"preferred":false,"id":953725,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iordache, Gabriel 0000-0002-8335-5995","orcid":"https://orcid.org/0000-0002-8335-5995","contributorId":365122,"corporation":false,"usgs":false,"family":"Iordache","given":"Gabriel","affiliations":[{"id":87048,"text":"National Research and Development Institute for Marine Geology and Geoecology, GeoEcoMar, Romania","active":true,"usgs":false}],"preferred":false,"id":953726,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dutu, Florin 0000-0002-5393-3125","orcid":"https://orcid.org/0000-0002-5393-3125","contributorId":365123,"corporation":false,"usgs":false,"family":"Dutu","given":"Florin","affiliations":[{"id":87048,"text":"National Research and Development Institute for Marine Geology and Geoecology, GeoEcoMar, Romania","active":true,"usgs":false}],"preferred":false,"id":953727,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Palaseanu-Lovejoy, Monica 0000-0002-3786-5118","orcid":"https://orcid.org/0000-0002-3786-5118","contributorId":305576,"corporation":false,"usgs":true,"family":"Palaseanu-Lovejoy","given":"Monica","affiliations":[],"preferred":true,"id":953728,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pitea, Florin 0009-0007-0206-5886","orcid":"https://orcid.org/0009-0007-0206-5886","contributorId":365124,"corporation":false,"usgs":false,"family":"Pitea","given":"Florin","affiliations":[{"id":87048,"text":"National Research and Development Institute for Marine Geology and Geoecology, GeoEcoMar, Romania","active":true,"usgs":false}],"preferred":false,"id":953729,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stanciu, Irina 0000-0003-1842-6619","orcid":"https://orcid.org/0000-0003-1842-6619","contributorId":365125,"corporation":false,"usgs":false,"family":"Stanciu","given":"Irina","affiliations":[{"id":87048,"text":"National Research and Development Institute for Marine Geology and Geoecology, GeoEcoMar, Romania","active":true,"usgs":false}],"preferred":false,"id":953730,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stanica, Adrian 0000-0001-5983-6302","orcid":"https://orcid.org/0000-0001-5983-6302","contributorId":351791,"corporation":false,"usgs":false,"family":"Stanica","given":"Adrian","affiliations":[{"id":84044,"text":"GeoEcoMar National Research institute, Romania","active":true,"usgs":false}],"preferred":false,"id":953731,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70272288,"text":"70272288 - 2025 - Too hot for comfort: Elevated temperatures influence gene expression and exceed thermal tolerance of bigmouth shiners, Ericymba dorsalis","interactions":[],"lastModifiedDate":"2025-11-20T16:16:07.21305","indexId":"70272288","displayToPublicDate":"2025-11-05T09:10:46","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2285,"text":"Journal of Fish Biology","active":true,"publicationSubtype":{"id":10}},"title":"Too hot for comfort: Elevated temperatures influence gene expression and exceed thermal tolerance of bigmouth shiners, Ericymba dorsalis","docAbstract":"Environmental and associated ecosystem change may affect the persistence of fish species based on their ability to adapt to changing conditions, including decreasing flows and rising water temperatures. Exceeding the thermal tolerances of stream fish will likely result in a loss of ability to maintain metabolic processes. We evaluated the critical thermal maximum (CTmax) of bigmouth shiner (Ericymba dorsalis) and analysed the expression of heat shock protein 70 messenger RNA (mRNA) (HSP70) to quantify a thermal stress response over a gradient of temperatures (25°C–31°C). E. dorsalis HSP70 mRNA expression was upregulated in response to temperatures >25°C, indicating a stress response. This study supports the existence of a thermal stress threshold for E. dorsalis. The frequency at which this threshold is exceeded may increase under forecasted future climate scenarios for Nebraska.
","language":"English","publisher":"Wiley","doi":"10.1111/jfb.70268","usgsCitation":"Humphrey, E.K., Spurgeon, J.J., Bowen, L., Wilson, R.E., Waters-Dynes, S.C., Newkirk, B.M., and Sonsthagen, S.A., 2025, Too hot for comfort: Elevated temperatures influence gene expression and exceed thermal tolerance of bigmouth shiners, Ericymba dorsalis: Journal of Fish Biology, 10 p., https://doi.org/10.1111/jfb.70268.","productDescription":"10 p.","ipdsId":"IP-179318","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":496761,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jfb.70268","text":"Publisher Index Page"},{"id":496694,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -104.04584044142557,\n 43.01103305017659\n ],\n [\n -104.09163887010574,\n 40.978861384617716\n ],\n [\n -102.07396809262718,\n 40.994152837401764\n ],\n [\n -102.10374412471413,\n 39.986154865063796\n ],\n [\n -95.30329180208444,\n 39.96701839571119\n ],\n [\n -96.36971775777259,\n 42.71578133925061\n ],\n [\n -98.30779398660637,\n 42.983212934161486\n ],\n [\n -104.04584044142557,\n 43.01103305017659\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2025-11-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Humphrey, Ella K.","contributorId":362647,"corporation":false,"usgs":false,"family":"Humphrey","given":"Ella","middleInitial":"K.","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":950686,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spurgeon, Jonathan J. 0000-0002-6888-5867","orcid":"https://orcid.org/0000-0002-6888-5867","contributorId":304259,"corporation":false,"usgs":true,"family":"Spurgeon","given":"Jonathan","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":950736,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bowen, Lizabeth 0000-0001-9115-4336 lbowen@usgs.gov","orcid":"https://orcid.org/0000-0001-9115-4336","contributorId":4539,"corporation":false,"usgs":true,"family":"Bowen","given":"Lizabeth","email":"lbowen@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":950688,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, Robert E.","contributorId":362649,"corporation":false,"usgs":false,"family":"Wilson","given":"Robert","middleInitial":"E.","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":950689,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Waters-Dynes, Shannon C. 0000-0002-9707-4684 swaters@usgs.gov","orcid":"https://orcid.org/0000-0002-9707-4684","contributorId":5826,"corporation":false,"usgs":true,"family":"Waters-Dynes","given":"Shannon","email":"swaters@usgs.gov","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":950690,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Newkirk, Braxton M.","contributorId":362652,"corporation":false,"usgs":false,"family":"Newkirk","given":"Braxton","middleInitial":"M.","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":950691,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":353767,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":950692,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70274508,"text":"70274508 - 2025 - Spring weather influences breeding propensity, the most important productivity component for Arctic-nesting lesser snow geese","interactions":[],"lastModifiedDate":"2026-03-27T15:40:01.804182","indexId":"70274508","displayToPublicDate":"2025-11-05T08:31:09","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3173,"text":"Proceedings of the Royal Society B","active":true,"publicationSubtype":{"id":10}},"title":"Spring weather influences breeding propensity, the most important productivity component for Arctic-nesting lesser snow geese","docAbstract":"Animal reproduction is composed of several stages, which collectively determine overall productivity. Yet, it is not fully understood how different productivity components contribute to population change. To bridge this gap, we leveraged integrated population modelling and transient life-table response experiments, together with population-level data on lesser snow geese (Anser caerulescens caerulescens) breeding on Wrangel Island, Russia, from 1970 to 2022. We assessed contributions of breeding propensity, clutch size, nest success, egg survival, hatching success and pre-fledging survival to population change, and tested hypotheses about the effects of environmental drivers and density dependence on different components. Breeding propensity contributed the most to variation in population growth, followed by nest success. These two components were negatively affected by the timing of snow melt. We found no overall deleterious effects of climate change on productivity. Density dependence had a positive effect on multiple productivity components, likely through predator swamping. Our results show the importance of breeding propensity to the population dynamics of this long-lived animal, which is notable because this productivity component is often overlooked. Our results also demonstrate that the effects of environmental conditions and density dependence can differ among animal populations of different sizes, locations and life histories.
","language":"English","publisher":"The Royal Society","doi":"10.1098/rspb.2025.1386","usgsCitation":"Piironen, A., Dooley, J.L., Baraynyuk, V.V., Knetter, J.M., Spragens, K.A., Schindler, A.R., Patil, V.P., Reed, E.T., Behney, A.C., Ross, M.V., Sanders, T.A., Petrie, M.J., and Weegman, M.D., 2025, Spring weather influences breeding propensity, the most important productivity component for Arctic-nesting lesser snow geese: Proceedings of the Royal Society B, v. 292, no. 2058, 20251386, https://doi.org/10.1098/rspb.2025.1386.","productDescription":"20251386","ipdsId":"IP-177764","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":501714,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Russia","otherGeospatial":"Wrangel Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": 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Management","active":true,"usgs":false}],"preferred":false,"id":958039,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baraynyuk, Vasiliy V.","contributorId":368887,"corporation":false,"usgs":false,"family":"Baraynyuk","given":"Vasiliy","middleInitial":"V.","affiliations":[{"id":34928,"text":"Independent Researcher","active":true,"usgs":false}],"preferred":false,"id":958040,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Knetter, Jeffrey M.","contributorId":368888,"corporation":false,"usgs":false,"family":"Knetter","given":"Jeffrey","middleInitial":"M.","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":958041,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Spragens, Kyle A.","contributorId":368889,"corporation":false,"usgs":false,"family":"Spragens","given":"Kyle","middleInitial":"A.","affiliations":[{"id":87673,"text":"Wasington Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":958042,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schindler, Alexander R.","contributorId":368890,"corporation":false,"usgs":false,"family":"Schindler","given":"Alexander","middleInitial":"R.","affiliations":[{"id":13248,"text":"University of Saskatchewan","active":true,"usgs":false}],"preferred":false,"id":958043,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Patil, Vijay P. 0000-0002-9357-194X 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":958044,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Reed, Eric T. 0000-0003-0227-8252","orcid":"https://orcid.org/0000-0003-0227-8252","contributorId":368891,"corporation":false,"usgs":false,"family":"Reed","given":"Eric","middleInitial":"T.","affiliations":[{"id":87674,"text":"Environment and Climate Change Canada, Canadian Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":958045,"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":958046,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ross, Megan V.","contributorId":199265,"corporation":false,"usgs":false,"family":"Ross","given":"Megan","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":958047,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sanders, Todd A.","contributorId":368892,"corporation":false,"usgs":false,"family":"Sanders","given":"Todd","middleInitial":"A.","affiliations":[{"id":85545,"text":"U.S. Fish and Wildlife Service, Division of Migratory Bird Management","active":true,"usgs":false}],"preferred":false,"id":958048,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"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":958049,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Weegman, Mitch D. 0000-0003-1633-0920","orcid":"https://orcid.org/0000-0003-1633-0920","contributorId":368893,"corporation":false,"usgs":false,"family":"Weegman","given":"Mitch","middleInitial":"D.","affiliations":[{"id":13248,"text":"University of Saskatchewan","active":true,"usgs":false}],"preferred":false,"id":958050,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70273769,"text":"70273769 - 2025 - Gas bubble trauma progression and mortality in sculpin, threespine stickleback, and Northern pikeminnow","interactions":[],"lastModifiedDate":"2026-01-28T16:15:47.03889","indexId":"70273769","displayToPublicDate":"2025-11-04T09:02:52","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2900,"text":"Northwest Science","onlineIssn":"2161-9859","printIssn":"0029-344X","active":true,"publicationSubtype":{"id":10}},"title":"Gas bubble trauma progression and mortality in sculpin, threespine stickleback, and Northern pikeminnow","docAbstract":"We examined the progression of gas bubble trauma (GBT) and associated mortality in sculpin (Cottus spp.), threespine stickleback (Gasterosteus aculeatus), and Northern pikeminnow (Ptychocheilus oregonensis) exposed to three levels of total dissolved gas (TDG; 120, 125, and 130% saturation) in laboratory experiments. Sculpin were most sensitive to elevated TDG followed by stickleback and then pikeminnow, which were least sensitive. This was evidenced by GBT and associated mortality progressing fastest in sculpin and slowest in pikeminnow. GBT incidence and severity increased through time at all TDG levels tested, but relationships between severity and exposure time were statistically weak or nonexistent. GBT mortality progressed more rapidly as TDG increased in all species. Regional criteria developed to rank GBT in salmonids did not fully capture the incidence and severity of GBT in the three nonsalmonids we examined. Rather, using criteria that considered all areas of the fish provided more accurate data. The lateral line, body, dorsal fin, and pectoral fins were common locations of GBT in sculpin whereas in stickleback and pikeminnow, GBT was most common on the head and body. The proximate cause of GBT-related death was bubbles in the gills and heart, but unlike in other species, bubbles in these organs appeared rapidly just before the point of death. Our findings provide some of the first information on TDG effects on these little-studied species.
","language":"English","publisher":"BioOne","doi":"10.3955/046.098.0301","usgsCitation":"Tiffan, K.F., and Liedtke, B.D., 2025, Gas bubble trauma progression and mortality in sculpin, threespine stickleback, and Northern pikeminnow: Northwest Science, v. 98, no. 3, p. 174-189, https://doi.org/10.3955/046.098.0301.","productDescription":"16 p.","startPage":"174","endPage":"189","ipdsId":"IP-169570","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":499175,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"Bonneville Dam, Columbia River, Ives Island, Snake River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -125.07792688551268,\n 49.060742133839824\n ],\n [\n -125.07792688551268,\n 41.99908206800043\n ],\n [\n -116.81687980720761,\n 41.99908206800043\n ],\n [\n -116.81687980720761,\n 49.060742133839824\n ],\n [\n -125.07792688551268,\n 49.060742133839824\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"98","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tiffan, Kenneth F. 0000-0002-5831-2846","orcid":"https://orcid.org/0000-0002-5831-2846","contributorId":220176,"corporation":false,"usgs":true,"family":"Tiffan","given":"Kenneth","middleInitial":"F.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":954702,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liedtke, Brad D. 0000-0002-0458-7377","orcid":"https://orcid.org/0000-0002-0458-7377","contributorId":303795,"corporation":false,"usgs":true,"family":"Liedtke","given":"Brad","middleInitial":"D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":954703,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70272789,"text":"70272789 - 2025 - Predicting secretive species distribution using Bayesian networks with and without expert elicitation: A case study incorporating double-blind peer review","interactions":[],"lastModifiedDate":"2025-12-09T15:25:42.910526","indexId":"70272789","displayToPublicDate":"2025-11-04T08:15:15","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9977,"text":"Ecological Solutions and Evidence","active":true,"publicationSubtype":{"id":10}},"title":"Predicting secretive species distribution using Bayesian networks with and without expert elicitation: A case study incorporating double-blind peer review","docAbstract":"1. Species that are secretive, imperilled and consequently data deficient often re-quire conservation action despite limited available information. In such scenarios, Bayesian networks (BNs) offer a versatile and intuitive approach for utilizing various information sources, including literature reviews, community science data sets and expert knowledge. Although it has been suggested that peer review be incorporated during expert elicitations in a BN modelling context, little information exists about how to implement this approach or about how models constructed using this approach perform.
2. We documented a double-blind peer review approach for expert elicitation in a BN modelling context. Further, we compared BN models that were generated by experts who engaged in this peer-review process (PRBNs) to those that were generated by a single expert whose knowledge was supplemented only by a literature review (LRBNs). These comparisons were based on the ability to predict the occurrence (via community science and satellite telemetry data) of a secretive and data deficient species, the King Rail (Rallus elegans), throughout a large region.
3. We found that the LRBNs tended to predict King Rail occurrence as well as, or better than, the PRBNs. The LRBNs that we evaluated provided more consistent predictions across our study area. However, preliminary data suggest that the PRBNs may better distinguish between locations of focal and non-focal species within smaller regions.
4. Practical implication. Our framework for utilizing double-blind peer review could serve as a useful guide and have practical implications for incorporating expert knowledge in BN models. Further, our model comparison case study suggests that, in some contexts, a single expert who uses a literature review to inform the creation of BN models may be able to accurately predict the occurrence of a secretive and data-deficient focal species. Taken together, this information could help ecologists decide when a double-blind peer review approach to expert elicitation is necessary and how to implement this approach in a BN modelling context.
","language":"English","publisher":"British Ecological Society","doi":"10.1002/2688-8319.70140","usgsCitation":"Brewer, D.E., Webb, E.B., Mini, A.E., and McKnight, S.K., 2025, Predicting secretive species distribution using Bayesian networks with and without expert elicitation: A case study incorporating double-blind peer review: Ecological Solutions and Evidence, v. 6, no. 4, e70140, 13 p., https://doi.org/10.1002/2688-8319.70140.","productDescription":"e70140, 13 p.","ipdsId":"IP-173106","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":497410,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2688-8319.70140","text":"Publisher Index Page"},{"id":497279,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Louisiana, Mississippi, Missouri, Tennessee","otherGeospatial":"Mississippi Alluvial Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -90.1068107990959,\n 36.53488280878683\n ],\n [\n -91.61423177860152,\n 34.64999645355131\n ],\n [\n -91.32812729950412,\n 33.779728217016626\n ],\n [\n -92.23976277110854,\n 31.169028802843997\n ],\n [\n -90.1068107990959,\n 29.669842940257624\n ],\n [\n -89.51855955615441,\n 29.669842940257624\n ],\n [\n -91.11618518098236,\n 31.200696392028455\n ],\n [\n -90.47470081531254,\n 32.88931314596513\n ],\n [\n -89.51855955615441,\n 36.53488280878683\n ],\n [\n -90.1068107990959,\n 36.53488280878683\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"6","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-11-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Brewer, Dustin E.","contributorId":363560,"corporation":false,"usgs":false,"family":"Brewer","given":"Dustin","middleInitial":"E.","affiliations":[{"id":16806,"text":"Missouri State University","active":true,"usgs":false}],"preferred":false,"id":951788,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":951789,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mini, Anne E.","contributorId":363561,"corporation":false,"usgs":false,"family":"Mini","given":"Anne","middleInitial":"E.","affiliations":[{"id":17929,"text":"American Bird Conservancy","active":true,"usgs":false}],"preferred":false,"id":951790,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McKnight, S. Keith","contributorId":363562,"corporation":false,"usgs":false,"family":"McKnight","given":"S.","middleInitial":"Keith","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":951791,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70272118,"text":"70272118 - 2025 - A high-resolution late Paleocene–early Eocene organic-walled dinoflagellate cyst zonation of the United States Atlantic Coastal Plain","interactions":[],"lastModifiedDate":"2025-11-17T15:58:46.261833","indexId":"70272118","displayToPublicDate":"2025-11-03T09:44:42","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2391,"text":"Journal of Micropalaeontology","active":true,"publicationSubtype":{"id":10}},"title":"A high-resolution late Paleocene–early Eocene organic-walled dinoflagellate cyst zonation of the United States Atlantic Coastal Plain","docAbstract":"Over the past decades, many expanded sedimentary records from the US Atlantic Coastal Plain (ACP) have been studied in detail to assess causes and consequences of the Paleocene–Eocene Thermal Maximum (PETM; ∼ 56 Ma). In ACP sections, the PETM, which is globally marked by a distinct negative carbon isotope excursion (CIE) lasting ∼ 180 kyr following a large input of 13C-depleted carbon into the ocean–atmosphere system, has been recorded near the base of the Marlboro Clay. However, truly detailed site-to-site correlations within the CIE interval remain difficult in view of the absence of suitable stratigraphic markers offering the required resolution. Here, augmenting earlier studies involving various other marine microfossil groups, we present a high-resolution regional organic-walled dinoflagellate cyst (dinocyst) zonation scheme covering the uppermost Paleocene to lowermost Eocene sediments of the Aquia and Marlboro Clay formations at six ACP localities. We propose five latest Paleocene (ACP Pv–Pz) and six earliest Eocene (all within the PETM interval; ACP E0a-E0f) regional informal dinocyst zones. In addition, we emend the genus Hystrichokolpoma and employ several new species, of which four, viz. Impagidinium witmeri sp. nov., Nematosphaeropsis elongatus sp. nov., Hystrichokolpoma heroldiae sp. nov., and Cannosphaeropsis frielingii sp. nov., are formally described. Furthermore, we calibrate the dinocyst zones against magneto-, bio-, and ecostratigraphic records to allow robust regional correlation and age assessments with an average time resolution of < 105 years for the late Paleocene and < 104 years within the PETM interval. The scheme provides new opportunities for portraying the environmental and sedimentological evolution across the US Atlantic Coastal Plain during the PETM in unprecedented detail.
","language":"English","publisher":"Micropalaeontological Society","doi":"10.5194/jm-44-431-2025","usgsCitation":"Nelissen, M., Sluijs, A., Willard, D., and Brinkhuis, H., 2025, A high-resolution late Paleocene–early Eocene organic-walled dinoflagellate cyst zonation of the United States Atlantic Coastal Plain: Journal of Micropalaeontology, v. 44, p. 431-467, https://doi.org/10.5194/jm-44-431-2025.","productDescription":"37 p.","startPage":"431","endPage":"467","ipdsId":"IP-177302","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":496725,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/jm-44-431-2025","text":"Publisher Index Page"},{"id":496549,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Maryland, New Jersey, Virginia","otherGeospatial":"Atlantic Coastal plain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -77.75,\n 40.5\n ],\n [\n -77.75,\n 36.5\n ],\n [\n -74,\n 36.5\n ],\n [\n -74,\n 40.5\n ],\n [\n -77.75,\n 40.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"44","noUsgsAuthors":false,"publicationDate":"2025-11-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Nelissen, Mei","contributorId":362170,"corporation":false,"usgs":false,"family":"Nelissen","given":"Mei","affiliations":[{"id":36885,"text":"Utrecht University","active":true,"usgs":false}],"preferred":false,"id":950134,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sluijs, Appy","contributorId":215371,"corporation":false,"usgs":false,"family":"Sluijs","given":"Appy","email":"","affiliations":[{"id":36885,"text":"Utrecht University","active":true,"usgs":false}],"preferred":false,"id":950135,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Willard, Debra A. 0000-0003-4878-0942","orcid":"https://orcid.org/0000-0003-4878-0942","contributorId":269840,"corporation":false,"usgs":true,"family":"Willard","given":"Debra A.","affiliations":[],"preferred":true,"id":950136,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brinkhuis, Henk","contributorId":328591,"corporation":false,"usgs":false,"family":"Brinkhuis","given":"Henk","affiliations":[{"id":36885,"text":"Utrecht University","active":true,"usgs":false}],"preferred":false,"id":950137,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70272091,"text":"70272091 - 2025 - Changes in phosphorus concentration and flux from 2011 to 2023 in major U.S. tributaries to the Laurentian Great Lakes","interactions":[],"lastModifiedDate":"2026-01-05T16:49:14.640082","indexId":"70272091","displayToPublicDate":"2025-11-02T10:46:49","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Changes in phosphorus concentration and flux from 2011 to 2023 in major U.S. tributaries to the Laurentian Great Lakes","docAbstract":"Reducing phosphorus (P) flux to the Great Lakes is critical for improving water quality and controlling eutrophication. We used 13 water years (2011–2023) of U.S. Geological Survey data from 24 major U.S. tributaries (representing 47% of the U.S. Great Lakes watershed area) to evaluate temporal changes in orthophosphate (PO4-P) and total P (TP) using Weighted Regressions on Time, Discharge, and Season. We assessed actual and flow-normalized P concentrations and fluxes. Between 2011 and 2023, P concentrations and fluxes declined in many tributaries, although the extent and significance of these declines varied. Decreases were more common and statistically likely for TP than PO4-P, and several high-loading watersheds had modest or non-significant changes. Flow-normalized PO4-P:TP flux ratios increased in over half the tributaries, suggesting that even where P reductions occurred, reductions in the more bioavailable P fraction were proportionally smaller. Actual P fluxes were strongly correlated with streamflow, and year-to-year variability in actual fluxes was, on average, three times greater than variability related to trends in flow-normalized fluxes. This underscores the role of hydrology in modulating P export and highlights how changing precipitation and runoff patterns can obscure or counteract management progress. Spring accounted for the largest share of annual P flux in most tributaries, though many showed declining spring contributions. Our basin-wide analysis reveals that while management efforts may have yielded progress in reducing TP in many watersheds, additional strategies would be needed to address PO4-P reductions and account for changing hydrology, especially in high-contributing watersheds.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2025.102669","usgsCitation":"Kincaid, D., Diebel, M.W., Bertke, E., Bonville, D.B., Koltun, G.F., Robertson, D., and Loken, L.C., 2025, Changes in phosphorus concentration and flux from 2011 to 2023 in major U.S. tributaries to the Laurentian Great Lakes: Journal of Great Lakes Research, v. 51, no. 6, 102669, 13 p., https://doi.org/10.1016/j.jglr.2025.102669.","productDescription":"102669, 13 p.","ipdsId":"IP-178201","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":496717,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2025.102669","text":"Publisher Index Page"},{"id":496502,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -92.60633559922388,\n 48.148551186404575\n ],\n [\n -88.2067643812503,\n 40.60216025077551\n ],\n [\n -83.23151190577836,\n 39.05980019478196\n ],\n [\n -80.80498690897306,\n 40.234426092092406\n ],\n [\n -80.13264358698466,\n 41.74623034694679\n ],\n [\n -75.68002709570973,\n 41.69292244621492\n ],\n [\n -75.72465463652733,\n 42.23052760530962\n ],\n [\n -74.88658728745591,\n 44.40491984342111\n ],\n [\n -79.06485288677936,\n 43.305925528873495\n ],\n [\n -78.99574717113413,\n 42.844586701072004\n ],\n [\n -81.75752883413966,\n 41.63784527164743\n ],\n [\n -82.97923399054226,\n 42.07649353088971\n ],\n [\n -82.35201917635362,\n 43.23951025772632\n ],\n [\n -82.4731703330764,\n 45.44772983144884\n ],\n [\n -86.77797304973124,\n 47.58223992997367\n ],\n [\n -92.60633559922388,\n 48.148551186404575\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"51","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kincaid, Dustin William 0000-0003-1640-685X","orcid":"https://orcid.org/0000-0003-1640-685X","contributorId":353877,"corporation":false,"usgs":true,"family":"Kincaid","given":"Dustin William","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950036,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diebel, Matthew W. 0000-0002-5164-598X mdiebel@usgs.gov","orcid":"https://orcid.org/0000-0002-5164-598X","contributorId":33762,"corporation":false,"usgs":true,"family":"Diebel","given":"Matthew","email":"mdiebel@usgs.gov","middleInitial":"W.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950037,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bertke, Erin E. 0000-0003-3172-280X","orcid":"https://orcid.org/0000-0003-3172-280X","contributorId":330809,"corporation":false,"usgs":true,"family":"Bertke","given":"Erin E.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950038,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bonville, Donald B. 0000-0003-4480-9381","orcid":"https://orcid.org/0000-0003-4480-9381","contributorId":248849,"corporation":false,"usgs":true,"family":"Bonville","given":"Donald","email":"","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950039,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Koltun, G. F. 0000-0003-0255-2960 gfkoltun@usgs.gov","orcid":"https://orcid.org/0000-0003-0255-2960","contributorId":140048,"corporation":false,"usgs":true,"family":"Koltun","given":"G.","email":"gfkoltun@usgs.gov","middleInitial":"F.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950040,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Robertson, Dale M. 0000-0001-6799-0596","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":217258,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950041,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Loken, Luke C. 0000-0003-3194-1498 lloken@usgs.gov","orcid":"https://orcid.org/0000-0003-3194-1498","contributorId":195600,"corporation":false,"usgs":true,"family":"Loken","given":"Luke","email":"lloken@usgs.gov","middleInitial":"C.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950042,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70273911,"text":"70273911 - 2025 - Analysis of trends in terrestrial vegetation at Mediterranean Coast Network Parks: Channel Islands National Park","interactions":[],"lastModifiedDate":"2026-02-17T17:24:13.996226","indexId":"70273911","displayToPublicDate":"2025-11-01T11:15:09","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":18517,"text":"Science Report","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/SR-2025/358","displayTitle":"Analysis of Trends in Terrestrial Vegetation at Mediterranean Coast Network Parks: Channel Islands National Park","title":"Analysis of trends in terrestrial vegetation at Mediterranean Coast Network Parks: Channel Islands National Park","docAbstract":"The five islands comprising Channel Islands National Park (CHIS) experience natural gradients in temperature and moisture driven by ocean currents. Additionally, the islands were used as ranchlands and military land before becoming a national park, resulting in widespread erosion and vegetation change. As a result, CHIS spans gradients in climate as well as ranching duration and time since animal removal. Vegetation monitoring was initiated in 1984 on three islands (Anacapa, Santa Barbara, San Miguel), in 1990 on Santa Rosa Island, and in 1998 on Santa Cruz Island, with the goal of documenting the long-term response of island vegetation to ranch animal removal and climate fluctuations. Since that time, monitoring has documented the range of natural fluctuation in island environments over decades and provided insights into vegetation change in ecosystems unencumbered by ongoing development. Long-term vegetation monitoring at CHIS is therefore a rare example of an ecosystem experiment that demonstrates the results of management actions and serves as a baseline for land managers and scientists worldwide.
Terrestrial vegetation data collected between 1984 and 2018 were modeled to estimate trends over time and to characterize relationships with covariates related to site characteristics, nonnative mammal removal programs, and water balance metrics. Data were analyzed for trends in vegetation cover, woody plant density, and plant community diversity grouped by life form and nativity across all islands and within individual islands, as well as for several individual species that dominate plant communities or present challenges to native plant recovery. In all, a total of 162 trend and covariate models were tested in this study, the details of which are provided in this report. Briefly, results reflect a decline in nonnative annual disturbance-thriving species with the reduction in animal grazing and trampling. Increasing trends were observed in native shrub density and native shrub recruitment density, as well as native shrub cover across all islands averaged together and on Santa Cruz Island. However, opposite trends were seen on the smaller islands of Santa Barbara and Anacapa, where increasing seabird activity may be damaging vegetation. Further results indicate the importance of soil moisture, relative humidity, fog, precipitation, site exposure, and solar radiation for vegetation patterns and trends. In many instances, there are apparent interacting effects of environmental variables with trends related to nonnative mammal removal and site location. Vegetation patterns in space and time emerge in the dataset as nuanced responses to interacting drivers.
","language":"English","publisher":"National Park Service","doi":"10.36967/2315831","usgsCitation":"Starcevich, L.A., Murray, C., Lee, L.F., Williams, C.B., and McEachern, K., 2025, Analysis of trends in terrestrial vegetation at Mediterranean Coast Network Parks: Channel Islands National Park: Science Report NPS/SR-2025/358, xvi, 176 p., https://doi.org/10.36967/2315831.","productDescription":"xvi, 176 p.","ipdsId":"IP-144822","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":500096,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Calfornia","otherGeospatial":"Channel Islands National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.7325747,\n 34.3878669\n ],\n [\n -120.6273817,\n 33.7780062\n ],\n [\n -119.4370392,\n 32.9735463\n ],\n [\n -118.1857956,\n 32.6851079\n ],\n [\n -118.2300874,\n 33.4875961\n ],\n [\n -119.4591851,\n 34.2049123\n ],\n [\n -120.2398283,\n 34.3513079\n ],\n [\n -120.7325747,\n 34.3878669\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Starcevich, Leigh Ann","contributorId":366371,"corporation":false,"usgs":false,"family":"Starcevich","given":"Leigh","middleInitial":"Ann","affiliations":[{"id":38051,"text":"Western EcoSystems Technology, Inc.","active":true,"usgs":false}],"preferred":false,"id":955748,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murray, Christopher","contributorId":340084,"corporation":false,"usgs":false,"family":"Murray","given":"Christopher","affiliations":[{"id":81451,"text":"School of Marine and Environmental Affairs and Washington Ocean Acidification Center, 7 University of Washington, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":955749,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lee, Lena F.S.","contributorId":366372,"corporation":false,"usgs":false,"family":"Lee","given":"Lena","middleInitial":"F.S.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":955750,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, Cameron B.","contributorId":366373,"corporation":false,"usgs":false,"family":"Williams","given":"Cameron","middleInitial":"B.","affiliations":[{"id":6993,"text":"Channel Islands National Park","active":true,"usgs":false}],"preferred":false,"id":955751,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McEachern, Kathryn 0000-0003-2631-8247 kathryn_mceachern@usgs.gov","orcid":"https://orcid.org/0000-0003-2631-8247","contributorId":146324,"corporation":false,"usgs":true,"family":"McEachern","given":"Kathryn","email":"kathryn_mceachern@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":955752,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70272672,"text":"70272672 - 2025 - Evaluating Laramide orogenesis via flexural basin response in the San Juan basin, New Mexico and Colorado","interactions":[],"lastModifiedDate":"2025-12-03T16:59:51.732342","indexId":"70272672","displayToPublicDate":"2025-11-01T10:56:57","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Evaluating Laramide orogenesis via flexural basin response in the San Juan basin, New Mexico and Colorado","docAbstract":"A challenge in interpreting the location, timing, and magnitude of ancient orogenic events is that ongoing uplift and erosion in the hinterlands often destroys much of the primary record of these events. However, basin-thickness patterns in the sedimentary record can provide complimentary evidence of uplift via flexural effects. Here, we deploy well-log correlation, isochores, basin modeling, flexural modeling, and subcrop mapping to evaluate the Late Cretaceous to Paleogene basin response to Laramide tectonism in the San Juan basin.\nA wedge of upper Campanian to Maastrichtian sedimentary rock thickens from 200 to 800 meters from southeast to northwest in the basin. This pattern can be successfully simulated via flexural modeling if we infer early Laramide uplift along the northwest basin flank that produced a 0.8 km high topographic load. The Laramide unconformity bounds the top of this Upper Cretaceous sedimentary wedge and truncates progressively older strata to the east, further supporting a westward tilt of the basin. The onset of Campanian Laramide flexure may have also contributed to the profound transgression from the upper Menefee Formation to the Lewis Shale. The Paleocene isochore map displays an approximately symmetrical pattern, with thickening towards the center of the basin. This suggests the possibility of competing flexural loads. The base Eocene structure indicates an asymmetric deep on the northeast flank of the basin, providing flexural evidence of contemporaneous uplift/loading of the Nacimiento uplift and Archuleta arch; this has been modeled as ~2.1 km load height. Both Cretaceous and Paleocene sedimentary wedges are narrow, suggesting low flexural rigidity; modeled effective elastic thicknesses (EET) are 20-30 km, comparable to estimates of modern EET for the region.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"New Mexico Geological Society 75th annual fall field conference guidebook","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"New Mexico Geological Society","doi":"10.56577/FFC-75.137","usgsCitation":"Rudolph, K., Leary, R.J., Smith, T.M., and Zellman, K.L., 2025, Evaluating Laramide orogenesis via flexural basin response in the San Juan basin, New Mexico and Colorado, in New Mexico Geological Society 75th annual fall field conference guidebook, v. 75, p. 137-151, https://doi.org/10.56577/FFC-75.137.","productDescription":"15 p.","startPage":"137","endPage":"151","ipdsId":"IP-175192","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":497017,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, New Mexico","otherGeospatial":"San Juan basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -109.04232983844348,\n 37.76447939513321\n ],\n [\n -109.04232983844348,\n 35.54285591268403\n ],\n [\n -106.12408801348575,\n 35.54285591268403\n ],\n [\n -106.12408801348575,\n 37.76447939513321\n ],\n [\n -109.04232983844348,\n 37.76447939513321\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"75","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rudolph, Kurt","contributorId":363209,"corporation":false,"usgs":false,"family":"Rudolph","given":"Kurt","affiliations":[{"id":86652,"text":"Rice University and University of Houston","active":true,"usgs":false}],"preferred":false,"id":951277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leary, Ryan J","contributorId":174702,"corporation":false,"usgs":false,"family":"Leary","given":"Ryan","email":"","middleInitial":"J","affiliations":[{"id":27500,"text":"Fisheries Biologist, The Klamath Tribes, 5671 Sprague River Road, Chiloquin, OR 97624","active":true,"usgs":false}],"preferred":false,"id":951278,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Tyson Michael 0000-0003-2834-3526","orcid":"https://orcid.org/0000-0003-2834-3526","contributorId":330276,"corporation":false,"usgs":true,"family":"Smith","given":"Tyson","email":"","middleInitial":"Michael","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":951279,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zellman, Kristine L. 0000-0002-7088-429X kzellman@usgs.gov","orcid":"https://orcid.org/0000-0002-7088-429X","contributorId":4849,"corporation":false,"usgs":true,"family":"Zellman","given":"Kristine","email":"kzellman@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":951280,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70272225,"text":"70272225 - 2025 - Amphibian diversity of the western Colorado canyonlands including potential threats from nonnative bullfrogs and disease","interactions":[],"lastModifiedDate":"2025-11-19T16:44:02.732723","indexId":"70272225","displayToPublicDate":"2025-11-01T10:39:58","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"Amphibian diversity of the western Colorado canyonlands including potential threats from nonnative bullfrogs and disease","docAbstract":"Throughout the canyons of the Colorado and Uncompahgre Plateaus, water is a limited resource for wildlife, with patchy distribution and seasonal availability. Tributary creeks within these canyons drain into mainstem rivers, providing habitat and breeding sites for native amphibians. Yet, little is known about the diversity and distribution of amphibians that live in these harsh, dynamic environments. In addition, the rivers that border these canyon tributaries may serve as corridors for nonnative species and disease. The American Bullfrog (Lithobates catesbeianus) is a nonnative species in western Colorado known to prey on native amphibians and act as a reservoir for pathogens such as Batrachochytrium dendrobatidis (Bd). From 2019 to 2022, we surveyed for amphibians using visual encounter surveys (VES) and environmental DNA (eDNA) surveys throughout the McInnis Canyons National Conservation Area (MCNCA), the Dominguez–Escalante National Conservation Area (DENCA), and the Dolores River Canyon Wilderness Study Area (DRCWSA). Our primary goals were to document the diversity and distribution of native amphibians in the canyonlands and evaluate potential threats to these species from bullfrogs and Bd. We confirmed that sensitive species, such as the Great Basin Spadefoot (Spea intermontana) and the Northern Leopard Frog (Lithobates pipiens), inhabit these protected areas. In most cases, bullfrogs were not detected within ephemeral tributaries, but bullfrog DNA was detected in some tributaries at the confluence with the mainstem rivers. In Mee Canyon (MCNCA), however, bullfrogs were found within the tributary, up to 3 km from the Colorado River. A bullfrog individual removed from this canyon tested positive for Bd, and diet contents suggested that native amphibians are potential prey in this system. Nonnative predators and disease pose a threat to native amphibians, alongside environmental changes such as drought and hydrological shifts driven by ongoing climate change.
","language":"English","publisher":"Brigham Young University","usgsCitation":"Weeks, D., Pilliod, D., Grant-Hoffman, M., Quintana Spencer, A., Neubaum, D., Hampton, P., Grossklaus, M.R., Laramie, M., and Muths, E., 2025, Amphibian diversity of the western Colorado canyonlands including potential threats from nonnative bullfrogs and disease: Western North American Naturalist, v. 85, no. 3, p. 515-535.","productDescription":"21 p.","startPage":"515","endPage":"535","ipdsId":"IP-170372","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":496648,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":496611,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://scholarsarchive.byu.edu/wnan/vol85/iss3/10"}],"country":"United States","state":"Colorado","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.24866016584289,\n 41.018297212687145\n ],\n [\n -109.04369572826369,\n 41.018297212687145\n ],\n [\n -109.04369572826369,\n 36.9561564150428\n ],\n [\n -105.24866016584289,\n 36.9561564150428\n ],\n [\n -105.24866016584289,\n 41.018297212687145\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"85","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Weeks, Denita M 0000-0001-7227-8616","orcid":"https://orcid.org/0000-0001-7227-8616","contributorId":334383,"corporation":false,"usgs":false,"family":"Weeks","given":"Denita M","affiliations":[{"id":34607,"text":"Colorado Mesa University","active":true,"usgs":false}],"preferred":false,"id":950489,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pilliod, David 0000-0003-4207-3518","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":218009,"corporation":false,"usgs":true,"family":"Pilliod","given":"David","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":950490,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grant-Hoffman, Madeline (Nikki) 0000-0003-3363-5216","orcid":"https://orcid.org/0000-0003-3363-5216","contributorId":334388,"corporation":false,"usgs":false,"family":"Grant-Hoffman","given":"Madeline (Nikki)","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":950491,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Quintana Spencer, Anjelica F","contributorId":349757,"corporation":false,"usgs":false,"family":"Quintana Spencer","given":"Anjelica F","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":950492,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Neubaum, Daniel 0000-0002-6642-4063","orcid":"https://orcid.org/0000-0002-6642-4063","contributorId":345944,"corporation":false,"usgs":false,"family":"Neubaum","given":"Daniel","affiliations":[{"id":39887,"text":"Colorado Parks and Wildlife","active":true,"usgs":false}],"preferred":false,"id":950493,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hampton, Paul","contributorId":362446,"corporation":false,"usgs":false,"family":"Hampton","given":"Paul","affiliations":[{"id":34607,"text":"Colorado Mesa University","active":true,"usgs":false}],"preferred":false,"id":950494,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Grossklaus, Michaela Ray 0009-0002-0890-6520","orcid":"https://orcid.org/0009-0002-0890-6520","contributorId":342051,"corporation":false,"usgs":true,"family":"Grossklaus","given":"Michaela","email":"","middleInitial":"Ray","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":950495,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Laramie, Matthew B 0000-0001-7820-2583","orcid":"https://orcid.org/0000-0001-7820-2583","contributorId":334384,"corporation":false,"usgs":false,"family":"Laramie","given":"Matthew B","affiliations":[{"id":64954,"text":"Bureau of Indian Affairs","active":true,"usgs":false}],"preferred":false,"id":950496,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Muths, Erin L. 0000-0002-5498-3132","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":243368,"corporation":false,"usgs":true,"family":"Muths","given":"Erin L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":950497,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70273274,"text":"70273274 - 2025 - Landsat-derived rainfed and irrigated-area product for conterminous United States for the year 2020 (LRIP30 CONUS 2020) using supervised and unsupervised machine learning on the cloud","interactions":[],"lastModifiedDate":"2025-12-29T16:30:45.746731","indexId":"70273274","displayToPublicDate":"2025-11-01T10:22:57","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5987,"text":"Photogrammetric Engineering & Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Landsat-derived rainfed and irrigated-area product for conterminous United States for the year 2020 (LRIP30 CONUS 2020) using supervised and unsupervised machine learning on the cloud","docAbstract":"Accurate maps of irrigated and rainfed croplands are crucial for assessing global food and water security. Irrigated croplands yield two to four times more grain and biomass than rainfed croplands. To meet rising food demand, the proportion of cropland that is irrigated must be increased globally. Because agriculture uses 80% to 90% of global fresh water, understanding changes in cropland extent, crop type, and irrigation is critical for meeting nutritional needs sustainably. The United States has one of the most productive rainfed and irrigated croplands in the world and is a leading producer and exporter of agricultural crops. Precise maps of irrigated and rainfed croplands in the United States are crucial for assessing the current and the future agricultural production capacity in supporting food security. We developed a 30-m resolution rainfed and irrigated area map for the conterminous United States derived from 2019 to 2021 multi-date Landsat-8 data (LRIP30 CONUS 2020). A total of 96 harmonized spectral bands comprising monthly median value composites of eight bands (blue, green, red, NIR, SWIR1, SWIR2, TIR, and enhanced vegetation index [EVI]) were used. A cropland mask was then applied, and reference data were sourced from various sources. A pixel based supervised random forest classifier, and pixel based unsupervised ISODATA clustering classifier were implemented on Google Earth Engine and the ERDAS Imagine workstation to classify, identify, map, and assess accuracies of irrigated and rainfed cropland areas. The LRIP30 CONUS 2020 product achieved an overall accuracy of 93.9%. The irrigated and rainfed classes had producer's accuracies of 90.2% and 95.7%, respectively, and user's accuracies of 90.8% and 95.4%, respectively. The total net cropland area was estimated at 139.4 million hectares (Mha), of which 94.9 Mha (68%) was classified as rainfed and 44.5 Mha (32%) was classified as irrigated. State level summaries highlight regional differences and their implications for national and global food and water security.
","language":"English","publisher":"American Society for Photogrammetry and Remote Sensing","doi":"10.14358/PERS.25-00081R3","usgsCitation":"Teluguntla, P., Thenkabail, P., Oliphant, A., Aneece, I., Biggs, T., Murali Krishna Gumma, Foley, D., McCormick, R.L., Rohitha, N., Long, E., and Lawton, J., 2025, Landsat-derived rainfed and irrigated-area product for conterminous United States for the year 2020 (LRIP30 CONUS 2020) using supervised and unsupervised machine learning on the cloud: Photogrammetric Engineering & Remote Sensing, v. 91, no. 11, p. 703-714, https://doi.org/10.14358/PERS.25-00081R3.","productDescription":"12 p.","startPage":"703","endPage":"714","ipdsId":"IP-179081","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":498274,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14358/pers.25-00081r3","text":"Publisher Index 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0000-0001-8060-9841","orcid":"https://orcid.org/0000-0001-8060-9841","contributorId":211780,"corporation":false,"usgs":true,"family":"Teluguntla","given":"Pardhasaradhi","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":952986,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thenkabail, Prasad 0000-0002-2182-8822","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":220239,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":952987,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oliphant, Adam 0000-0001-8622-7932 aoliphant@usgs.gov","orcid":"https://orcid.org/0000-0001-8622-7932","contributorId":192325,"corporation":false,"usgs":true,"family":"Oliphant","given":"Adam","email":"aoliphant@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":952988,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aneece, Itiya 0000-0002-1201-5459","orcid":"https://orcid.org/0000-0002-1201-5459","contributorId":211471,"corporation":false,"usgs":true,"family":"Aneece","given":"Itiya","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":952989,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Biggs, Trent","contributorId":208268,"corporation":false,"usgs":false,"family":"Biggs","given":"Trent","affiliations":[],"preferred":false,"id":952990,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Murali Krishna Gumma","contributorId":364644,"corporation":false,"usgs":false,"family":"Murali Krishna Gumma","affiliations":[{"id":33518,"text":"ICRISAT","active":true,"usgs":false}],"preferred":false,"id":952991,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Foley, Daniel 0000-0002-2051-6325","orcid":"https://orcid.org/0000-0002-2051-6325","contributorId":208266,"corporation":false,"usgs":true,"family":"Foley","given":"Daniel","email":"","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":952992,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McCormick, Richard L","contributorId":364645,"corporation":false,"usgs":false,"family":"McCormick","given":"Richard","middleInitial":"L","affiliations":[],"preferred":false,"id":952993,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rohitha, Neelam","contributorId":364646,"corporation":false,"usgs":false,"family":"Rohitha","given":"Neelam","affiliations":[],"preferred":false,"id":952994,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Long, Emerson","contributorId":364647,"corporation":false,"usgs":false,"family":"Long","given":"Emerson","affiliations":[{"id":5082,"text":"Syracuse University","active":true,"usgs":false}],"preferred":false,"id":952995,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lawton, Jake","contributorId":364648,"corporation":false,"usgs":false,"family":"Lawton","given":"Jake","affiliations":[],"preferred":false,"id":952996,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70272822,"text":"70272822 - 2025 - Effects of flow on pesticides in water and zooplankton in the northern Sacramento-San Joaquin Delta","interactions":[],"lastModifiedDate":"2025-12-10T16:28:23.314674","indexId":"70272822","displayToPublicDate":"2025-11-01T10:20:50","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Effects of flow on pesticides in water and zooplankton in the northern Sacramento-San Joaquin Delta","docAbstract":"Zooplankton are a key food source for juvenile fishes in estuaries worldwide, including California’s Sacramento–San Joaquin Delta (hereafter Delta); both zooplankton quality and quantity are critical to ecosystem health. Zooplankton may be affected by pesticides in water and the food web, and the Delta is known to contain complex pesticide mixtures. In this study, we evaluated pesticide concentrations in water and zooplankton in the northern Delta during (1) the summer–fall of 2017, 2018, and 2019, which included periods of augmented pulse flows from agriculture tailwater, and (2) across a full seasonal cycle from May 2019 to March 2020. We quantified changes in pesticide concentration in response to environmental factors. We found that zooplankton showed more frequent detections of hydrophobic pesticides compared to more frequent detections of hydrophilic compounds in water. Pesticide concentrations were influenced by flow, pesticide application, and season, but the effects of these environmental factors differed by habitat (Sacramento River or Yolo Bypass Toe Drain). Pesticides in water responded similarly to environmental factors in the Sacramento River and Yolo Bypass, whereas pesticides in zooplankton responded differently. In water, we found more detections and higher concentrations at higher flows in the Yolo Bypass and Sacramento River, but responses to pesticide application varied by habitat. Alternatively, pesticide concentrations in zooplankton increased in the Yolo Bypass with increasing flow (correlated with flow pulses) and changed seasonally; whereas, pesticide concentrations in zooplankton in the Sacramento River decreased at higher flows, and decreased with or did not respond to higher pesticide application in the watershed. Our study suggests that augmented flows—particularly those using agricultural tailwater—may have unintended negative ecological effects that could partially offset benefits to the food web and fishes in the northern Delta, underscoring the complex interplay among factors that drive increased pesticide exposure.
","language":"English","publisher":"University of California Davis","doi":"10.15447/sfews.2025v23iss4art4","usgsCitation":"Orlando, J., Twardochleb, L., Bosworth, D., Hladik, M.L., Sanders, C., De Parsia, M., and Davis, B.E., 2025, Effects of flow on pesticides in water and zooplankton in the northern Sacramento-San Joaquin Delta: San Francisco Estuary and Watershed Science, v. 23, no. 4, 4, 25 p., https://doi.org/10.15447/sfews.2025v23iss4art4.","productDescription":"4, 25 p.","ipdsId":"IP-173021","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":497376,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2025v23iss4art4","text":"Publisher Index Page"},{"id":497304,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento–San Joaquin Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.2038412452062,\n 38.5623232149853\n ],\n [\n -122.19785966601634,\n 38.5623232149853\n ],\n [\n -122.19785966601634,\n 37.76519646461169\n ],\n [\n -121.2038412452062,\n 37.76519646461169\n ],\n [\n -121.2038412452062,\n 38.5623232149853\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"23","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-12-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Orlando, James 0000-0002-0099-7221","orcid":"https://orcid.org/0000-0002-0099-7221","contributorId":221090,"corporation":false,"usgs":true,"family":"Orlando","given":"James","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951887,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Twardochleb, Laura 0000-0002-8804-9399","orcid":"https://orcid.org/0000-0002-8804-9399","contributorId":339840,"corporation":false,"usgs":false,"family":"Twardochleb","given":"Laura","email":"","affiliations":[{"id":12702,"text":"California State Water Resources Control Board","active":true,"usgs":false}],"preferred":false,"id":951888,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bosworth, David 0000-0003-0740-3390","orcid":"https://orcid.org/0000-0003-0740-3390","contributorId":347649,"corporation":false,"usgs":false,"family":"Bosworth","given":"David","affiliations":[{"id":40593,"text":"CA Department of Water Resources","active":true,"usgs":false}],"preferred":false,"id":951889,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":221229,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951890,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sanders, Corey 0000-0001-7743-6396","orcid":"https://orcid.org/0000-0001-7743-6396","contributorId":204711,"corporation":false,"usgs":true,"family":"Sanders","given":"Corey","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951891,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"De Parsia, Matt 0000-0001-5806-5403 mdeparsia@usgs.gov","orcid":"https://orcid.org/0000-0001-5806-5403","contributorId":173765,"corporation":false,"usgs":true,"family":"De Parsia","given":"Matt","email":"mdeparsia@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951892,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Davis, Brittany E. 0000-0003-3752-1830","orcid":"https://orcid.org/0000-0003-3752-1830","contributorId":339841,"corporation":false,"usgs":false,"family":"Davis","given":"Brittany","email":"","middleInitial":"E.","affiliations":[{"id":37342,"text":"California Department of Water Resources","active":true,"usgs":false}],"preferred":false,"id":951893,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70272681,"text":"70272681 - 2025 - Drone-based radiometric surveys provide high-resolution mine waste characterization","interactions":[],"lastModifiedDate":"2025-12-04T16:04:36.978233","indexId":"70272681","displayToPublicDate":"2025-11-01T09:57:21","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3568,"text":"The Leading Edge","active":true,"publicationSubtype":{"id":10}},"title":"Drone-based radiometric surveys provide high-resolution mine waste characterization","docAbstract":"Airborne radiometric surveys use passive geophysical techniques to characterize geochemical variations at or near earth’s surface. These methods have been used for a variety of mapping applications, including mineral resource evaluation. However, detailed characterization of smaller geologic targets, including mine waste features, requires flying at lower altitudes and with tighter line spacing than is feasible with traditional aircraft. Here, a small uncrewed aircraft system (sUAS) equipped with a radiometric sensor was used to acquire high-resolution gamma-spectrometry over small mine waste features and a low-grade stockpile in southwestern New Mexico. The sUAS radiometric system mapped local variability within each survey area and revealed ~2–10 m wide zones where radioelements K, Th, and U may be elevated 2–10× the surrounding material. Additionally, the sUAS radiometric data revealed radioelement variability across survey sites, which correlated reasonably well with variability seen in geochemical samples at each survey site, even though samples collected from individual sites showed high local variability. The sUAS data characterized local heterogeneity within mine waste and other small geologic targets at scales of a few meters to tens of meters, which is not possible with traditional crewed aircraft, and with continuity of coverage that is not possible with ground surveys, thus filling a key gap in geophysical survey spatial resolution.
","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/tle44110889.1","usgsCitation":"Gustafson, C., Shah, A.K., Burgess, M.A., Adams, J., McLemore, V., and Owen, E.J., 2025, Drone-based radiometric surveys provide high-resolution mine waste characterization: The Leading Edge, v. 44, no. 11, p. 889-900, https://doi.org/10.1190/tle44110889.1.","productDescription":"12 p.","startPage":"889","endPage":"900","ipdsId":"IP-180021","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":497111,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1190/tle44110889.1","text":"Publisher Index Page"},{"id":497057,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Blackhawk mining district, Copper Flat Mine","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -109,\n 33.5\n ],\n [\n -109,\n 31.5\n ],\n [\n -108.22801231819798,\n 31.506679785521342\n ],\n [\n -108.22398985560156,\n 31.79511507151517\n ],\n [\n -106.9946669081999,\n 31.78156997939864\n ],\n [\n -107,\n 33.5\n ],\n [\n -109,\n 33.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"44","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gustafson, Chloe Danielle 0000-0001-8323-2568","orcid":"https://orcid.org/0000-0001-8323-2568","contributorId":346924,"corporation":false,"usgs":true,"family":"Gustafson","given":"Chloe Danielle","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":951320,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shah, Anjana K. 0000-0002-3198-081X ashah@usgs.gov","orcid":"https://orcid.org/0000-0002-3198-081X","contributorId":2297,"corporation":false,"usgs":true,"family":"Shah","given":"Anjana","email":"ashah@usgs.gov","middleInitial":"K.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":951321,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burgess, Matthew Alexander 0000-0003-3487-4972 mburgess@usgs.gov","orcid":"https://orcid.org/0000-0003-3487-4972","contributorId":225090,"corporation":false,"usgs":true,"family":"Burgess","given":"Matthew","email":"mburgess@usgs.gov","middleInitial":"Alexander","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":951322,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Adams, Josip 0000-0001-8470-4141","orcid":"https://orcid.org/0000-0001-8470-4141","contributorId":217936,"corporation":false,"usgs":true,"family":"Adams","given":"Josip","email":"","affiliations":[{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":951323,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McLemore, Virginia","contributorId":363225,"corporation":false,"usgs":false,"family":"McLemore","given":"Virginia","affiliations":[{"id":86657,"text":"New Mexico Bureau of Geology and Mineral Resources, New Mexico Institute of Mining and Technology","active":true,"usgs":false}],"preferred":false,"id":951324,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Owen, Evan J.","contributorId":363226,"corporation":false,"usgs":false,"family":"Owen","given":"Evan","middleInitial":"J.","affiliations":[{"id":86659,"text":"Mining & Minerals Division, New Mexico Department of Energy, Minerals & Natural Resources Department","active":true,"usgs":false}],"preferred":false,"id":951325,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70272061,"text":"70272061 - 2025 - The Mammoth magnetic anomaly, Pinal County, Arizona","interactions":[],"lastModifiedDate":"2025-11-14T15:32:54.822911","indexId":"70272061","displayToPublicDate":"2025-11-01T08:28:30","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3568,"text":"The Leading Edge","active":true,"publicationSubtype":{"id":10}},"title":"The Mammoth magnetic anomaly, Pinal County, Arizona","docAbstract":"A high-resolution Earth Mapping Resources Initiative airborne geophysical survey was flown in the southwest North American porphyry copper province to improve bedrock geologic maps and to identify areas that have unrecognized critical mineral resource potential. During the review of the aeromagnetic data, a distinctly monopolar-shaped, negative magnetic anomaly was observed at a flight elevation of 200 m above the ground with a maximum amplitude of –9500 nT. We have named this the Mammoth magnetic anomaly (MMA) because it is centered 12 km northeast of the town of Mammoth, Arizona, USA. The total field anomaly (TFA) contour of –500 nT enclosing the MMA defines an elongate shape measuring 2.5 km long by 1 km wide that trends northwest–southeast. Given the striking nature of this negative, monopolar-shaped magnetic anomaly, we conducted a ground campaign in May 2025 to determine its authenticity and potential relationship to critical mineral endowment. The MMA was confirmed on the ground with a TFA approaching –46,000 nT. Total magnetic intensity (TMI) observations routinely fell below the 18,000 nT operating floor of an industry-standard cesium-vapor total field magnetometer, and extremely low TMI measurements were corroborated along coincident traverse lines using two high dynamic range, but lower sensitivity, smartphone vector magnetometers. The lowest TMI values recorded by both smartphone magnetometers were 1000 nT and confirmed with multiple adjacent and crossing lines. Field observations suggest that this magnetic feature is caused by strong remanent magnetization within fine-grained magnetite hosted within locally altered Pinal Schist.
","language":"English","publisher":"The Society of Exploration Geophysicists","doi":"10.1190/tle44110879.1","usgsCitation":"Walter, C.A., Scheirer, D.S., Beno, C., Borchardt, J.S., and Connell, D., 2025, The Mammoth magnetic anomaly, Pinal County, Arizona: The Leading Edge, v. 44, no. 11, p. 879-888, https://doi.org/10.1190/tle44110879.1.","productDescription":"10 p.","startPage":"879","endPage":"888","ipdsId":"IP-179841","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":496710,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1190/tle44110879.1","text":"Publisher Index Page"},{"id":496913,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13LYAKZ","text":"USGS data release","linkHelpText":"Ground Magnetic Observations of the Mammoth Magnetic Anomaly, Pinal County, Arizona, May 2025"},{"id":496912,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1GGHK8X","text":"USGS data release","linkHelpText":"Airborne magnetic and radiometric data acquired over parts of Cochise, Graham, Greenlee, Pima, Pinal, and Santa Cruz Counties, Arizona"},{"id":496486,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","county":"Pinal County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.14609001840401,\n 33.405406351098335\n ],\n [\n -111.14609001840401,\n 31.33976116419477\n ],\n [\n -109.03721319402516,\n 31.33976116419477\n ],\n [\n -109.03721319402516,\n 33.405406351098335\n ],\n [\n -111.14609001840401,\n 33.405406351098335\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"44","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Walter, Callum Andrew 0000-0001-7955-2016","orcid":"https://orcid.org/0000-0001-7955-2016","contributorId":360911,"corporation":false,"usgs":true,"family":"Walter","given":"Callum","middleInitial":"Andrew","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":949952,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scheirer, Daniel S. 0000-0001-8015-7072 dscheirer@usgs.gov","orcid":"https://orcid.org/0000-0001-8015-7072","contributorId":214825,"corporation":false,"usgs":true,"family":"Scheirer","given":"Daniel","email":"dscheirer@usgs.gov","middleInitial":"S.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":949953,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beno, Carl Joseph 0000-0001-7611-1602","orcid":"https://orcid.org/0000-0001-7611-1602","contributorId":347444,"corporation":false,"usgs":true,"family":"Beno","given":"Carl Joseph","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":949954,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Borchardt, Jackson Stone 0000-0001-6891-3314","orcid":"https://orcid.org/0000-0001-6891-3314","contributorId":346157,"corporation":false,"usgs":true,"family":"Borchardt","given":"Jackson","email":"","middleInitial":"Stone","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":949955,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Connell, Dylan Mark 0000-0001-8678-2776","orcid":"https://orcid.org/0000-0001-8678-2776","contributorId":292570,"corporation":false,"usgs":true,"family":"Connell","given":"Dylan Mark","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":949956,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70272141,"text":"70272141 - 2025 - Measurement of in situ-produced cosmogenic nuclides in fine-grained quartz from shale","interactions":[],"lastModifiedDate":"2025-11-17T16:16:08.681407","indexId":"70272141","displayToPublicDate":"2025-10-31T10:13:47","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2909,"text":"Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms","active":true,"publicationSubtype":{"id":10}},"title":"Measurement of in situ-produced cosmogenic nuclides in fine-grained quartz from shale","docAbstract":"In situ-produced 10Be in quartz is widely used to constrain exposure ages and denudation rates, traditionally measured in sand-sized grains. Here we report a new method for isolating fine-grained quartz from shale and demonstrate its reliability for grain sizes down to single microns. Sequential dissolution tests and analyses of grain size separates show that meteoric 10Be is eliminated and that recoil losses during cosmogenic nuclide production are balanced by implantation from other mineral grains. High-temperature combustion leads to diffusion of meteoric 10Be into fine-grained quartz and must be used with caution.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.nimb.2025.165913","usgsCitation":"Huang, X., Granger, D.E., Odom, W.E., Conner, B., and Luo, L., 2025, Measurement of in situ-produced cosmogenic nuclides in fine-grained quartz from shale: Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms, v. 569, 165913, 8 p., https://doi.org/10.1016/j.nimb.2025.165913.","productDescription":"165913, 8 p.","ipdsId":"IP-174459","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":496553,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"569","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Huang, Xianmei","contributorId":362236,"corporation":false,"usgs":false,"family":"Huang","given":"Xianmei","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":950206,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Granger, Darryl E.","contributorId":362237,"corporation":false,"usgs":false,"family":"Granger","given":"Darryl","middleInitial":"E.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":950207,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Odom, William Elijah 0000-0001-8577-5056","orcid":"https://orcid.org/0000-0001-8577-5056","contributorId":292616,"corporation":false,"usgs":true,"family":"Odom","given":"William","email":"","middleInitial":"Elijah","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":950208,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conner, Brody","contributorId":362238,"corporation":false,"usgs":false,"family":"Conner","given":"Brody","affiliations":[{"id":36508,"text":"University of Mississippi","active":true,"usgs":false}],"preferred":false,"id":950209,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Luo, Lan","contributorId":362239,"corporation":false,"usgs":false,"family":"Luo","given":"Lan","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":950210,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70272796,"text":"70272796 - 2025 - Freshwater turtle assemblages and densities in agricultural ditches and aquaculture ponds of eastern Arkansas","interactions":[],"lastModifiedDate":"2026-01-07T17:43:15.740234","indexId":"70272796","displayToPublicDate":"2025-10-31T09:00:11","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1210,"text":"Chelonian Conservation and Biology","active":true,"publicationSubtype":{"id":10}},"title":"Freshwater turtle assemblages and densities in agricultural ditches and aquaculture ponds of eastern Arkansas","docAbstract":"The Mississippi Alluvial Plain (MAP) of Arkansas is a landscape where many wetlands have been altered for use as aquaculture ponds or agricultural ditches. Commercial harvest of freshwater turtles within the MAP is not restricted or limited, with reported harvest numbers for 2019 alone exceeding 4000 for spiny softshell turtles (Apalone spinifera) and 39,000 for red-eared sliders (Trachemys scripta elegans). Herein, we attempt to provide baseline estimates of freshwater turtle densities and community composition in aquaculture ponds and agricultural ditches of eastern Arkansas, the habitat types most frequently trapped by commercial harvesters. We used a capture–mark–recapture approach over 3 summers (2019–2021) to evaluate population densities and community composition of freshwater turtles in these anthropogenic aquatic habitats. We captured > 4000 individuals of 9 species of turtle. One species, the red-eared slider, dominated the turtle community in both anthropogenic aquatic habitats, comprising 66% (± 22% SD) of all captures in agricultural ditches and 63% (± 32% SD) in aquaculture ponds. Diversity and richness did not differ between aquaculture ponds and agricultural ditches. We estimated densities of the 2 most commonly captured species, the red-eared slider and spiny softshell turtle. Density of red-eared sliders ranged from 0 turtles/unit area (linear kilometers in ditches or hectares in ponds) to 500 turtles/unit area, with a median of 37 turtles/unit area. The spiny softshell turtle was more frequently captured in ponds than ditches and attained average densities of 25 (± 19) turtles/ha and 7 (± 4) turtles/linear km, respectively. Our mean density estimates were lower than those in reported literature, including estimates from similar habitats, such as urban ditches and farm ponds, which resemble our study sites in structure, use, and geographical placement. We estimate the region contains 22,317 ha of aquaculture ponds and 18,350 linear km of agricultural ditches. By extrapolating our density estimates to each anthropogenic aquatic habitat type, we estimated 2 million red-eared sliders and 427,000 spiny softshell turtles occurred in aquaculture ponds and agricultural ditches across eastern Arkansas. Our results suggest that these altered wetlands provide abundant habitat for only a few generalist turtle species.
","language":"English","publisher":"Chelonian Research Foundation","doi":"10.2744/CCB-1657","usgsCitation":"Massey, A.D., Willson, J.D., and DeGregorio, B.A., 2025, Freshwater turtle assemblages and densities in agricultural ditches and aquaculture ponds of eastern Arkansas: Chelonian Conservation and Biology, v. 24, no. 2, p. 247-259, https://doi.org/10.2744/CCB-1657.","productDescription":"13 p.","startPage":"247","endPage":"259","ipdsId":"IP-140476","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":498465,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2744/ccb-1657","text":"Publisher Index Page"},{"id":497283,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas","otherGeospatial":"eastern Arkansas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -89.42194147233364,\n 36.49537693943422\n ],\n [\n -90.53336912692878,\n 35.98215599237926\n ],\n [\n -91.82405714395551,\n 32.97103287874471\n ],\n [\n -91.11597605874528,\n 32.93341394306303\n ],\n [\n -90.91430495911077,\n 33.87040325230258\n ],\n [\n -90.04263999829463,\n 35.13890970234506\n ],\n [\n -89.42194147233364,\n 36.49537693943422\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"24","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Massey, Andrhea D.","contributorId":363575,"corporation":false,"usgs":false,"family":"Massey","given":"Andrhea","middleInitial":"D.","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":951798,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Willson, John D.","contributorId":363576,"corporation":false,"usgs":false,"family":"Willson","given":"John","middleInitial":"D.","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":951799,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeGregorio, Brett Alexander 0000-0002-5273-049X","orcid":"https://orcid.org/0000-0002-5273-049X","contributorId":243214,"corporation":false,"usgs":true,"family":"DeGregorio","given":"Brett","email":"","middleInitial":"Alexander","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":951800,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70272081,"text":"70272081 - 2025 - Ultralong, supershear rupture of the 2025 Mw 7.7 Mandalay earthquake reveals unaccounted risk","interactions":[],"lastModifiedDate":"2025-11-14T16:45:27.125747","indexId":"70272081","displayToPublicDate":"2025-10-30T10:36:07","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Ultralong, supershear rupture of the 2025 Mw 7.7 Mandalay earthquake reveals unaccounted risk","docAbstract":"The 28 March 2025 moment magnitude (Mw) 7.7 earthquake in Mandalay, Burma (Myanmar), ruptured 475 kilometers of the Sagaing Fault, which was more than twice the length predicted by magnitude scaling relationships. Kinematic slip models and observation of a Rayleigh Mach wave that passed through parts of Thailand confirmed that rupture occurred at supershear velocities of greater than 5 kilometers per second. The anomalous length exposed a vast population to violent near-fault shaking. The Mandalay earthquake is a modern analog for the Mw 7.9 1906 San Francisco earthquake, another atypically long and fast rupture. Probabilistic seismic hazard analyses use scaling relations that do not account for such long ruptures at moderate magnitudes. This limitation, in conjunction with a likely increased population and infrastructure exposure for atypically long ruptures, contributes to a potential mischaracterization of seismic risk.
","language":"English","publisher":"AAAS","doi":"10.1126/science.ady3581","usgsCitation":"Goldberg, D.E., Yeck, W.L., Hanagan, C., Atterholt, J.W., Kehoe, H.L., Reitman, N.G., Barnhart, W.D., Shelly, D.R., Hatem, A.E., Wald, D., and Earle, P.S., 2025, Ultralong, supershear rupture of the 2025 Mw 7.7 Mandalay earthquake reveals unaccounted risk: Science, v. 390, no. 6772, p. 458-462, https://doi.org/10.1126/science.ady3581.","productDescription":"5 p.","startPage":"458","endPage":"462","ipdsId":"IP-178620","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":496498,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Burma/Myanmar","city":"Mandalay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 90,\n 28\n ],\n [\n 90,\n 16\n ],\n [\n 102,\n 16\n ],\n [\n 102,\n 28\n ],\n [\n 90,\n 28\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"390","issue":"6772","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Goldberg, Dara Elyse 0000-0002-0923-3180","orcid":"https://orcid.org/0000-0002-0923-3180","contributorId":289891,"corporation":false,"usgs":true,"family":"Goldberg","given":"Dara","email":"","middleInitial":"Elyse","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":950005,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":950006,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hanagan, Catherine Elise 0000-0002-2966-5175","orcid":"https://orcid.org/0000-0002-2966-5175","contributorId":358930,"corporation":false,"usgs":true,"family":"Hanagan","given":"Catherine Elise","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":950007,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Atterholt, James William 0000-0003-1603-5518","orcid":"https://orcid.org/0000-0003-1603-5518","contributorId":361969,"corporation":false,"usgs":true,"family":"Atterholt","given":"James","middleInitial":"William","affiliations":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"preferred":true,"id":950008,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kehoe, Haiyang Liam 0000-0002-5818-6077","orcid":"https://orcid.org/0000-0002-5818-6077","contributorId":362101,"corporation":false,"usgs":true,"family":"Kehoe","given":"Haiyang","middleInitial":"Liam","affiliations":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"preferred":true,"id":950009,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reitman, Nadine G. 0000-0002-6730-2682 nreitman@usgs.gov","orcid":"https://orcid.org/0000-0002-6730-2682","contributorId":5816,"corporation":false,"usgs":true,"family":"Reitman","given":"Nadine","email":"nreitman@usgs.gov","middleInitial":"G.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":950010,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"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":950011,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shelly, David R. 0000-0003-2783-5158 dshelly@usgs.gov","orcid":"https://orcid.org/0000-0003-2783-5158","contributorId":206750,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":950012,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hatem, Alexandra Elise 0000-0001-7584-2235","orcid":"https://orcid.org/0000-0001-7584-2235","contributorId":225597,"corporation":false,"usgs":true,"family":"Hatem","given":"Alexandra","email":"","middleInitial":"Elise","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":950013,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wald, David 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":150898,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":950014,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Earle, Paul S. 0000-0002-3500-017X pearle@usgs.gov","orcid":"https://orcid.org/0000-0002-3500-017X","contributorId":173551,"corporation":false,"usgs":true,"family":"Earle","given":"Paul","email":"pearle@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":950015,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70272137,"text":"70272137 - 2025 - A spatiotemporal interrogation of hydrologic drought model performance for machine learning model interpretability","interactions":[],"lastModifiedDate":"2025-11-17T16:08:00.3984","indexId":"70272137","displayToPublicDate":"2025-10-30T10:01:17","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"A spatiotemporal interrogation of hydrologic drought model performance for machine learning model interpretability","docAbstract":"The predictive accuracy of regional hydrologic models often varies across both time and space. Interpreting relationships between watershed characteristics, hydrologic regimes, and model performance can reveal potential areas for model improvement. In this study, we use machine learning to assess model performance of a regional hydrologic model to forecast the occurrence of streamflow drought. We demonstrate our methodology using a regional long short-term memory (LSTM) deep learning model developed by the U.S. Geological Survey (USGS) and data from 384 streamgages across the Colorado River Basin region. Performance was assessed by clustering catchments using: (a) physical and climatological catchment attributes, and (b) streamflow drought signatures time series. We examined the association of USGS LSTM model error measures with clusters generated by both approaches to interpret meaningful spatial and temporal information about LSTM model performance. Clustering static catchment attributes identified elevation, degree of streamflow regulation, baseflow contribution, catchment aridity, and drainage area as the most influential attributes to model performance. Clustering gages by their drought signatures revealed that catchments with significant seasonal peak runoff between January and June generally exhibited better model performance. Additionally, a Random Forest classifier was trained to successfully predict LSTM model performance (F1 score of 0.72) based on physical and climatological catchment attributes. Low degree of flow regulation was identified as a key indicator of better LSTM model performance. These findings point to the opportunities for improving the USGS LSTM model performance in future hydrologic drought prediction efforts across regional and CONUS scales.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024WR039077","usgsCitation":"Dadkhah, A., Hamshaw, S.D., van der Heijden, R., and Rizzo, D.M., 2025, A spatiotemporal interrogation of hydrologic drought model performance for machine learning model interpretability: Water Resources Research, v. 61, no. 11, e2024WR039077, 20 p., https://doi.org/10.1029/2024WR039077.","productDescription":"e2024WR039077, 20 p.","ipdsId":"IP-171117","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":496726,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024wr039077","text":"Publisher Index Page"},{"id":496550,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Colorado, Idaho, Montana, Nevada, New Mexico, South Dakota, Texas, Utah, Wyoming","otherGeospatial":"Colorado River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.82376678919411,\n 36.26233085914717\n ],\n [\n -115.85085818096155,\n 32.567720561211985\n ],\n [\n -110.51032589138043,\n 31.22468250332072\n ],\n [\n -108.12617557977711,\n 31.516111303152087\n ],\n [\n -107.07123697669522,\n 32.48455428990293\n ],\n [\n -102.78172590159346,\n 34.79341128012621\n ],\n [\n -102.32122175185708,\n 37.822265600751294\n ],\n [\n -104.54120424685271,\n 39.31008340398529\n ],\n [\n -105.01672465698343,\n 42.43285898166596\n ],\n [\n -102.61536956018404,\n 44.597711605623914\n ],\n [\n -103.68883267765926,\n 45.86117991057367\n ],\n [\n -104.94111657475693,\n 46.52791159365242\n ],\n [\n -111.34981535286528,\n 46.65300676975278\n ],\n [\n -113.2114048549673,\n 44.05547092656684\n ],\n [\n -115.54731167526421,\n 41.97871186707138\n ],\n [\n -119.35050975086381,\n 42.039351853495674\n ],\n [\n -119.8152614776348,\n 40.77295494694408\n ],\n [\n -119.24558792818462,\n 38.8937217445025\n ],\n [\n -116.82376678919411,\n 36.26233085914717\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"61","issue":"11","noUsgsAuthors":false,"publicationDate":"2025-10-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Dadkhah, Ali 0000-0002-0861-4926","orcid":"https://orcid.org/0000-0002-0861-4926","contributorId":362194,"corporation":false,"usgs":false,"family":"Dadkhah","given":"Ali","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":950171,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hamshaw, Scott Douglas 0000-0002-0583-4237","orcid":"https://orcid.org/0000-0002-0583-4237","contributorId":305601,"corporation":false,"usgs":true,"family":"Hamshaw","given":"Scott","email":"","middleInitial":"Douglas","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":950172,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"van der Heijden, Ryan 0000-0003-1320-9500","orcid":"https://orcid.org/0000-0003-1320-9500","contributorId":362195,"corporation":false,"usgs":false,"family":"van der Heijden","given":"Ryan","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":950173,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rizzo, Donna M.","contributorId":362196,"corporation":false,"usgs":false,"family":"Rizzo","given":"Donna","middleInitial":"M.","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":950174,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70273296,"text":"70273296 - 2025 - Comparative life history of mud turtles (genus: Kinosternon) from the North American deserts","interactions":[],"lastModifiedDate":"2026-01-05T15:03:45.59267","indexId":"70273296","displayToPublicDate":"2025-10-30T08:56:53","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Comparative life history of mud turtles (genus: Kinosternon) from the North American deserts","title":"Comparative life history of mud turtles (genus: Kinosternon) from the North American deserts","docAbstract":"The warm deserts of North America are characterized by diverse environments that include the transition zone between tropical and temperate regions on the continent. This vast region includes the Sonoran and Chihuahuan deserts, which have different precipitation regimes and are composed of different floras and faunas, separated by the Cochise Filter Barrier. Inhabiting these deserts are 7 mud turtles (representing 4 separate clades within the genus Kinosternon), and we compared their basic ecology, life history, and estivation time to test for variation between deserts. We used phylogenetic comparative methods to correlate the life history traits with environmental variables (temperature and precipitation) to test for variation between deserts. Life history strategies (clutch size, egg size, and reproductive phenology) of mud turtles were similar across both deserts, with negative correlations of clutch size and age of maturity with both aridity and temperature variables. Maximum estivation time was correlated with the seasonality of each included locality. Overall, life history strategies were quite similar, with small local specializations to avoid high temperatures and periodic lack of water. From a population ecology perspective, populations showed varied sex ratios biased toward males or females, along with different population structure among populations and species. However, most published studies lacked data for hatchlings. Phylogenetic signal is high in traits related to body size, including sexual size dimorphism. Overall, mud turtles from the southwest deserts are adapted to regional seasonality and precipitation regimes, with minor adjustments to fit local conditions.
","language":"English","publisher":"BioOne","doi":"10.3398/064.085.0302","usgsCitation":"Macipríos, R., and Lovich, J.E., 2025, Comparative life history of mud turtles (genus: Kinosternon) from the North American deserts: Western North American Naturalist, v. 85, no. 3, p. 396-410, https://doi.org/10.3398/064.085.0302.","productDescription":"15 p.","startPage":"396","endPage":"410","ipdsId":"IP-165079","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":498316,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -101.32669609969128,\n 42.18591387423689\n ],\n [\n -115.30100988851879,\n 42.18591387423689\n ],\n [\n -115.30100988851879,\n 24.48732899818424\n ],\n [\n -101.32669609969128,\n 24.48732899818424\n ],\n [\n -101.32669609969128,\n 42.18591387423689\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"85","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-10-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Macipríos, Rodrigo","contributorId":347546,"corporation":false,"usgs":false,"family":"Macipríos","given":"Rodrigo","affiliations":[{"id":83188,"text":"Escuela Nacional de Estudios Superiores, Unidad Morelia. Universidad Nacional Atónoma de México, Antigua Carretera a Páztcuaro, No. 8701, Col. Ex Hacienda San José la Huerta, Morelia, Michoacán, 58190, México","active":true,"usgs":false}],"preferred":false,"id":953270,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":953271,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70272090,"text":"70272090 - 2025 - Insight 4. Climate change and biodiversity loss amplify each other","interactions":[],"lastModifiedDate":"2025-11-14T14:43:00.031188","indexId":"70272090","displayToPublicDate":"2025-10-30T08:39:03","publicationYear":"2025","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Insight 4. Climate change and biodiversity loss amplify each other","docAbstract":"Key messages:
• Climate change is impacting biodiversity from local to global scales, and growing evidence suggests that further loss of biodiversity can contribute to climate change, creating a destabilizing feedback. • Loss of plant diversity due to climate and land-use change can weaken ecosystem functioning, leading to a decrease in biomass accumulation and reduced carbon storage.
• Animal biodiversity, both terrestrial and marine, plays a key role in regulating carbon storage through trophic chains and other plant-animal interactions that can alter vegetation structure and composition, affecting biomass accumulation and carbon sequestration.
• Natural climate solution initiatives that integrate aspects of ecosystem integrity and species composition, rather than focusing solely on land cover area, can more effectively safeguard the carbon sink function.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"10 New insights in climate science 2025/2026","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Future Earth, The Earth League, World Climate Research Programme","usgsCitation":"Domeignoz-Horta, L.A., Mazzochini, G.G., Mori, A.S., Razanatsoa, E., Weiskopf, S.R., and Heilemann, A., 2025, Insight 4. Climate change and biodiversity loss amplify each other, chap. of 10 New insights in climate science 2025/2026, p. 22-24.","productDescription":"3 p.","startPage":"22","endPage":"24","ipdsId":"IP-183291","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":496473,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":496460,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://10insightsclimate.science/"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Domeignoz-Horta, Luiz A.","contributorId":362113,"corporation":false,"usgs":false,"family":"Domeignoz-Horta","given":"Luiz","middleInitial":"A.","affiliations":[{"id":12490,"text":"French National Institute for Agricultural Research","active":true,"usgs":false}],"preferred":false,"id":950030,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mazzochini, Guilherme G.","contributorId":362117,"corporation":false,"usgs":false,"family":"Mazzochini","given":"Guilherme","middleInitial":"G.","affiliations":[{"id":86465,"text":"Federal University of Rio de Janeiro","active":true,"usgs":false}],"preferred":false,"id":950032,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mori, Akira S.","contributorId":271281,"corporation":false,"usgs":false,"family":"Mori","given":"Akira","email":"","middleInitial":"S.","affiliations":[{"id":49222,"text":"Yokohama National University","active":true,"usgs":false}],"preferred":false,"id":950033,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Razanatsoa, Estelle","contributorId":362119,"corporation":false,"usgs":false,"family":"Razanatsoa","given":"Estelle","affiliations":[{"id":86467,"text":"Plant Conservation Unit, Department of Biological Sciences, University of Cape Town","active":true,"usgs":false}],"preferred":false,"id":950034,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weiskopf, Sarah R. 0000-0002-5933-8191","orcid":"https://orcid.org/0000-0002-5933-8191","contributorId":207699,"corporation":false,"usgs":true,"family":"Weiskopf","given":"Sarah","email":"","middleInitial":"R.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":950035,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Heilemann, Adrian","contributorId":362115,"corporation":false,"usgs":false,"family":"Heilemann","given":"Adrian","affiliations":[{"id":52874,"text":"Potsdam Institute for Climate Impact Research","active":true,"usgs":false}],"preferred":false,"id":950031,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70273222,"text":"70273222 - 2025 - Earthquake stress-drop values delineate spatial variations in maximum shear stress in the Japanese forearc lithosphere","interactions":[],"lastModifiedDate":"2025-12-22T15:52:08.98147","indexId":"70273222","displayToPublicDate":"2025-10-29T08:46:17","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17089,"text":"Communications Earth and Environment","active":true,"publicationSubtype":{"id":10}},"title":"Earthquake stress-drop values delineate spatial variations in maximum shear stress in the Japanese forearc lithosphere","docAbstract":"Earthquake stress drop (Δσ) may increase with depth and stress in the brittle lithosphere. However, the range of uncertainty in Δσ and the lack of constraints on absolute stress make it difficult to establish whether they are correlated. Here, we investigate Δσ dependence on depth and maximum shear stress (τmax) based on ~11 years of seismicity in the northeastern Japanese forearc following the 2011 Tohoku-Oki megathrust earthquake. We interpret Δσ estimates computed using both individual spectra and spectral-ratio methods and find that Δσ exhibits a clear depth dependence within the seismically active upper ~60 km of the forearc lithosphere ( ~ 0.8 MPa per 10 km). We further compare Δσ values with quantitative τmax estimates from finite-element models of force balance. We find that median Δσ values increase with τmax in the brittle forearc lithosphere and that earthquake stress release is proportional to τmax. The dependence of Δσ on τmax explains the apparent depth dependence of Δσ and suggests that average Δσ values provide a relative measure of the stress at failure. In the northeastern Japanese forearc, Δσ values remained roughly constant in the decade following the Tohoku-Oki earthquake, suggesting negligible changes in failure stress in the forearc since the mainshock.
","language":"English","publisher":"Springer Nature","doi":"10.1038/s43247-025-02877-y","usgsCitation":"Bocchini, G., Dielforder, A., Kemna, K.B., Harrington, R.M., and Cochran, E.S., 2025, Earthquake stress-drop values delineate spatial variations in maximum shear stress in the Japanese forearc lithosphere: Communications Earth and Environment, v. 6, 858, 14 p., https://doi.org/10.1038/s43247-025-02877-y.","productDescription":"858, 14 p.","ipdsId":"IP-165224","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":498049,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s43247-025-02877-y","text":"Publisher Index Page"},{"id":497873,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Japan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 139.99093699006892,\n 41.48011137249637\n ],\n [\n 139.99093699006892,\n 36.49167223065241\n ],\n [\n 142.62081818423303,\n 36.49167223065241\n ],\n [\n 142.62081818423303,\n 41.48011137249637\n ],\n [\n 139.99093699006892,\n 41.48011137249637\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"6","noUsgsAuthors":false,"publicationDate":"2025-10-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Bocchini, Gian Maria","contributorId":364510,"corporation":false,"usgs":false,"family":"Bocchini","given":"Gian Maria","affiliations":[{"id":86831,"text":"Institut für Geologie, Mineralogie und Geophysik, Ruhr Universität Bochum, Germany","active":true,"usgs":false}],"preferred":false,"id":952779,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dielforder, Armin","contributorId":364511,"corporation":false,"usgs":false,"family":"Dielforder","given":"Armin","affiliations":[{"id":86833,"text":"Institut für Geologie, Leibniz Universität Hannover, Germany","active":true,"usgs":false}],"preferred":false,"id":952780,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kemna, Kilian B.","contributorId":247705,"corporation":false,"usgs":false,"family":"Kemna","given":"Kilian","middleInitial":"B.","affiliations":[{"id":49624,"text":"Ruhr University Bochum","active":true,"usgs":false}],"preferred":false,"id":952781,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harrington, Rebecca M.","contributorId":247707,"corporation":false,"usgs":false,"family":"Harrington","given":"Rebecca","middleInitial":"M.","affiliations":[{"id":49624,"text":"Ruhr University Bochum","active":true,"usgs":false}],"preferred":false,"id":952782,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":952783,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70272693,"text":"70272693 - 2025 - Climatological effects on survival, recruitment, and possible extirpation of a Sierra Nevada anuran","interactions":[],"lastModifiedDate":"2025-12-04T16:39:23.520639","indexId":"70272693","displayToPublicDate":"2025-10-28T10:27:30","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":12584,"text":"Climate Change Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Climatological effects on survival, recruitment, and possible extirpation of a Sierra Nevada anuran","docAbstract":"The drivers of population dynamics are a primary interest of ecologists, and predicting the consequences of climate variability on wildlife populations benefits from an understanding of how weather causes variation in the vital rates of populations. Given recent and projected extremes in annual precipitation in the Sierra Nevada of California, USA, including two severe droughts, we sought to examine the role of snowpack and summer water availability on the population dynamics and potential extirpation of a meadow population of the U.S. Endangered Sierra Nevada yellow-legged frog (Rana sierrae) using a long-term capture-mark-recapture dataset. We found that snowpack and summer water availability affected both survival and recruitment probabilities. Although these variables only explained approximately 17 % of the annual variation in adult survival, they explained 81 % of the variation in recruitment into the adult population. Following two severe, extended droughts and a nearby wildfire, the population consisted of 20 or fewer individuals with >95 % certainty, and 10 or fewer individuals with 64 % certainty. If realized, increased precipitation volatility and extended droughts likely present an additional threat to some meadow populations of this endangered frog.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecochg.2025.100099","usgsCitation":"Halstead, B., Kleeman, P.M., Rose, J.P., Grasso, R.L., and Fellers, G.M., 2025, Climatological effects on survival, recruitment, and possible extirpation of a Sierra Nevada anuran: Climate Change Ecology, v. 10, 100099, 11 p., https://doi.org/10.1016/j.ecochg.2025.100099.","productDescription":"100099, 11 p.","ipdsId":"IP-161742","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":497114,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecochg.2025.100099","text":"Publisher Index Page"},{"id":497060,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Summit Meadow, Yosemite National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -119.64672349244009,\n 37.675274534515\n ],\n [\n -119.65704609741877,\n 37.675274534515\n ],\n [\n -119.65704609741877,\n 37.668624663917555\n ],\n [\n -119.64672349244009,\n 37.668624663917555\n ],\n [\n -119.64672349244009,\n 37.675274534515\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"10","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":215986,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian","email":"bhalstead@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951347,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kleeman, Patrick M. 0000-0001-6567-3239 pkleeman@usgs.gov","orcid":"https://orcid.org/0000-0001-6567-3239","contributorId":3948,"corporation":false,"usgs":true,"family":"Kleeman","given":"Patrick","email":"pkleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951348,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rose, Jonathan P. 0000-0003-0874-9166 jprose@usgs.gov","orcid":"https://orcid.org/0000-0003-0874-9166","contributorId":199339,"corporation":false,"usgs":true,"family":"Rose","given":"Jonathan","email":"jprose@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951349,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grasso, Robert L.","contributorId":363246,"corporation":false,"usgs":false,"family":"Grasso","given":"Robert","middleInitial":"L.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":951350,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fellers, Gary M.","contributorId":209920,"corporation":false,"usgs":false,"family":"Fellers","given":"Gary","email":"","middleInitial":"M.","affiliations":[{"id":38025,"text":"9 Goldfinch Court, Novato, CA 94947; gary_fellers@worldnet.att.net","active":true,"usgs":false}],"preferred":false,"id":951351,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70272965,"text":"70272965 - 2025 - Movements and survival of hatchery reared juvenile cisco (Coregonus artedi) in Saginaw Bay, Lake Huron","interactions":[],"lastModifiedDate":"2025-12-11T14:40:57.770589","indexId":"70272965","displayToPublicDate":"2025-10-28T08:36:51","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":773,"text":"Animal Biotelemetry","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Movements and survival of hatchery reared juvenile cisco (Coregonus artedi) in Saginaw Bay, Lake Huron","title":"Movements and survival of hatchery reared juvenile cisco (Coregonus artedi) in Saginaw Bay, Lake Huron","docAbstract":"Cisco (Coregonus artedi) were historically abundant throughout Lake Huron, including Saginaw Bay, but only a few remnant populations remain in northern Lake Huron today. Reestablishment of cisco is an important component of management plans to restore sustainable fisheries in Lake Huron. Cisco restoration efforts have focused on the release of hatchery-reared fish, but the fate and behavior of stocked fish after release is unknown. Mortality due to predation and behavior of hatchery-reared fish after release may influence success of restoration stocking programs. Acoustic telemetry tags with predation sensors show promise for tracking movements and survival of juvenile fish; however, guidelines for designing receiver arrays to capture movements and determine the fate of juvenile fish are not well-established.
We examined whether an acoustic receiver array with approximately 20 km2 of coverage was sufficient to determine movements and fate of cisco during the first month after release. We implanted 26 juvenile cisco (mean total length = 161 mm) with acoustic tags equipped with a sensor to detect predation. Thirteen fish (50%) moved more than 4 km from the release location and out of the array, seven fish (27%) were consumed by predators while in the array within 17 days of release, and the fates of six fish (23%) were unknown. Of fish that left the array, 50% left between 4 and 7 days after release. No fish were detected after 17 days after release. Cisco moved with water currents during the first day after release, but this was not observed in subsequent days. Concurrent with fish release, detection range was estimated from stationary tags at three locations within the receiver array. Daily estimates of detection range were greater than 50% at 250 m during October 2021.
This study provides evidence that hatchery-reared juvenile cisco can move more than 4 km within 17 days of release but are vulnerable to predation. To fully quantify sources of mortality and spatial extent of movements by hatchery-reared cisco, future acoustic telemetry studies will require a receiver array designed to track movements of tagged fish and their predators over larger distances than monitored in this study.
","language":"English","publisher":"Springer","doi":"10.1186/s40317-025-00429-x","usgsCitation":"Hayden, T., Holbrook, C., Binder, T., Honsey, A.E., Gordon, R., McDonnell, K., Fielder, D.G., and Fisk, A., 2025, Movements and survival of hatchery reared juvenile cisco (Coregonus artedi) in Saginaw Bay, Lake Huron: Animal Biotelemetry, v. 13, 35, 12 p., https://doi.org/10.1186/s40317-025-00429-x.","productDescription":"35, 12 p.","ipdsId":"IP-177003","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":497378,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40317-025-00429-x","text":"Publisher Index Page"},{"id":497319,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","otherGeospatial":"Lake Huron, Saginaw Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -83.76534611893418,\n 44.33059449174337\n ],\n [\n -83.76534611893418,\n 43.95413921561067\n ],\n [\n -82.67021855448533,\n 43.95413921561067\n ],\n [\n -82.67021855448533,\n 44.33059449174337\n ],\n [\n -83.76534611893418,\n 44.33059449174337\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"13","noUsgsAuthors":false,"publicationDate":"2025-10-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Hayden, Todd","contributorId":214232,"corporation":false,"usgs":false,"family":"Hayden","given":"Todd","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":951908,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holbrook, Christopher M. 0000-0001-8203-6856 cholbrook@usgs.gov","orcid":"https://orcid.org/0000-0001-8203-6856","contributorId":139681,"corporation":false,"usgs":true,"family":"Holbrook","given":"Christopher","email":"cholbrook@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":951909,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Binder, Thomas R.","contributorId":349828,"corporation":false,"usgs":false,"family":"Binder","given":"Thomas R.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":951910,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Honsey, Andrew Edgar 0000-0001-7535-1321","orcid":"https://orcid.org/0000-0001-7535-1321","contributorId":295468,"corporation":false,"usgs":true,"family":"Honsey","given":"Andrew","email":"","middleInitial":"Edgar","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":951911,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gordon, Roger","contributorId":194165,"corporation":false,"usgs":false,"family":"Gordon","given":"Roger","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":951912,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McDonnell, Kevin","contributorId":150586,"corporation":false,"usgs":false,"family":"McDonnell","given":"Kevin","email":"","affiliations":[],"preferred":false,"id":951913,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fielder, David G.","contributorId":127528,"corporation":false,"usgs":false,"family":"Fielder","given":"David","email":"","middleInitial":"G.","affiliations":[{"id":6983,"text":"Michigan DNR","active":true,"usgs":false}],"preferred":false,"id":951914,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fisk, Aaron T.","contributorId":51604,"corporation":false,"usgs":false,"family":"Fisk","given":"Aaron T.","affiliations":[],"preferred":false,"id":951915,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ]}