Lake St. Clair Metropark Beach in Michigan has a history of closures because of elevated Escherichia coli (E. coli) concentrations in its recreational waters. To reduce closures, restoration projects were implemented in 2021 to deter waterfowl from congregating on the beach. In this study, the U.S. Geological Survey, in cooperation with the Michigan Department of the Environment, Great Lakes, and Energy and in collaboration with Huron-Clinton Metroparks and the Macomb County Health Department, monitored E. coli from 2022–23 in surface water, shallow groundwater, and sediment at Lake St. Clair Metropark Beach. Results were compared to data from a prerestoration (2018–19) study. A significant decrease in daily geometric mean E. coli concentrations in surface water was observed postrestoration, but the number of high concentration events increased. This resulted in more frequent beach closures postrestoration. Surface-sediment E. coli concentrations significantly decreased after restoration, and waterfowl populations generally decreased from 2021 to 2023, suggesting that the deterrence measures could be influencing E. coli concentrations in surface sediments and surface water. Groundwater E. coli concentrations were orders of magnitude higher than those in surface water and revealed no change correlated with restoration. Seepage measurements indicated that groundwater occasionally discharges into surface water, potentially providing a transport mechanism for E. coli to reach the lake. Continued monitoring and consideration of environmental factors could help to better understand the beach system.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265134","issn":"2328-0328","collaboration":"Prepared in cooperation with Michigan Department of Environment, Great Lakes, and Energy","usgsCitation":"Lockmiller, H.A., Byers, V.C., and Fogarty, L.R., 2026, Escherichia coli monitoring and assessment in 2022 and 2023 after beach restoration at Lake St. Clair Metropark Beach, Macomb County, Michigan: U.S. Geological Survey Scientific Investigations Report 2026–5134, 24 p., https://doi.org/10.3133/sir20265134.","productDescription":"Report: viii, 24 p.; Data Release; Dataset","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-165989","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":502714,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119358.htm","linkFileType":{"id":5,"text":"html"}},{"id":502180,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5134/coverthb.jpg"},{"id":502187,"rank":7,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS water data for the Nation","linkHelpText":"U.S. Geological Survey National Water Information System database"},{"id":502186,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13GGCXS","text":"USGS data release","linkHelpText":"Water flux and avian species data at Lake St. Clair Metropark in Macomb County, Michigan, collected during recreational seasons of 2021, 2022, and 2023"},{"id":502184,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5134/sir20265134.XML","description":"SIR 2026-5134 XML"},{"id":502183,"rank":4,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265134/full","text":"HTML","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026-5134 HTML"},{"id":502182,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5134/sir20265134.pdf","text":"Report","size":"4.13 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5134"},{"id":502181,"rank":2,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5134/images"}],"country":"United States","state":"Michigan","otherGeospatial":"Lake St. Clair Metropark Beach","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.7975,\n 42.57167\n ],\n [\n -82.7975,\n 42.570278\n ],\n [\n -82.794722,\n 42.570278\n ],\n [\n -82.794722,\n 42.57167\n ],\n [\n -82.7975,\n 42.57167\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Upper Midwest Water Science Center
U.S. Geological Survey
2280 Woodale Drive
Mounds View, MN 55112
Per- and polyfluoroalkyl substances (PFAS), including perfluorooctanoic acid (PFOA) and perfluorooctanesulfonic acid (PFOS), have been detected at combined concentrations above 2,000 nanograms per liter (ng/L) at groundwater seep locations near the Coakley Landfill Superfund site, in North Hampton, New Hampshire. The landfill was active from 1972 to 1985. An impermeable cap was placed on the landfill in 1998. The adjacent area to the Coakley Landfill has many water supply wells, and transport of PFAS compounds to the wells is a concern. Fracture anisotropy in the underlying bedrock aquifer complicates the understanding of PFAS transport because groundwater preferentially travels along fractures that may not align with the prevailing groundwater flow direction. In 2018, the U.S Environmental Protection Agency and the U.S. Geological Survey began an investigation of the groundwater flow from the Coakley Landfill site. This report describes the modification of a numerical groundwater-flow model for the local area around the Coakley Landfill and summarizes findings of the investigation. In addition, this report includes a brief description of PFOA and PFOS occurrence, a discussion of model construction, evaluation of model performance through calibration, and discussion of simulation results for two periods (before and after capping). Limitations are also discussed. Results show that simulated groundwater flow moves from the Coakley Landfill to the west and north. Advective transport modeling using particle tracking shows that groundwater from the landfill discharges primarily to streams to the west and north, and a small amount is transported to distal wells. Dilution of contaminants through advection and dispersion likely plays a role in whether PFAS compounds from the landfill will be detected above laboratory reporting levels at distal wells.
","language":"English","publisher":"EarthArXiv","doi":"10.31223/X53761","usgsCitation":"Harte, P., and Collins, A.L., 2026, Simulation of groundwater flow to evaluate hydrogeologic controls on a PFAS plume, Coakley Landfill Superfund Site, Rockingham County, New Hampshire: EarthArXiv, preprint posted April 09, 2026, https://doi.org/10.31223/X53761.","productDescription":"72 p.","ipdsId":"IP-188248","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":502680,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2026-04-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Harte, Phil 0000-0002-7718-1204","orcid":"https://orcid.org/0000-0002-7718-1204","contributorId":369789,"corporation":false,"usgs":false,"family":"Harte","given":"Phil","affiliations":[{"id":63928,"text":"Former USGS (ret.)","active":true,"usgs":false}],"preferred":false,"id":959179,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collins, Andrew L. 0000-0003-4751-7333","orcid":"https://orcid.org/0000-0003-4751-7333","contributorId":332093,"corporation":false,"usgs":true,"family":"Collins","given":"Andrew","email":"","middleInitial":"L.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":959180,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70275062,"text":"70275062 - 2026 - Incorporating data sets with multiple sources of uncertainty in integrated species distribution models","interactions":[],"lastModifiedDate":"2026-04-14T16:29:45.038418","indexId":"70275062","displayToPublicDate":"2026-04-09T09:24:19","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Incorporating data sets with multiple sources of uncertainty in integrated species distribution models","docAbstract":"Data integration methods aim to improve species distribution estimates by incorporating multiple sources of uncertainty across datasets. Two major sources of uncertainty are: (1) variation in sampling effort across space and within datasets, and (2) variation in reliability associated with data collection protocols or timing among datasets. Our goal was to evaluate how different approaches to address these uncertainties influence predictive performance of integrated models. We modeled distributions of four bird species using three datasets that differed in sampling design. We examined three strategies to reduce uncertainty: (1) filtering data, (2) incorporating functions that account for uncertainty in observation models, and (3) varying how datasets are integrated into a single estimate. We first examine methods to account for variable effort in observations, focusing on both spatial differences in sampling intensity and effort given to a single observation record. We then examine approaches to account for data sets with differing reliability. Sampling effort was best addressed through conservative filtering, including spatial thinning and excluding observations with highly variable effort. Next, we considered how to account for potential false positive detections—due to either misidentification or changes in distributions. We found that treating less reliable data as a covariate, an approach previously suggested for data integration that can greatly speed up model fitting, performed well. Other effective approaches included directly modeling false positive rates and complete exclusion of less reliable data sets. Our results provide insights into best practices in integrated modeling for handling uncertainty in integrated models. We demonstrate the flexible options available when using integrated models to address uncertainty.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.73185","usgsCitation":"Lunt, F., Scher, C.L., Mummah, R.O., and Miller, D.A., 2026, Incorporating data sets with multiple sources of uncertainty in integrated species distribution models: Ecology and Evolution, v. 16, no. 4, e73185, 11 p., https://doi.org/10.1002/ece3.73185.","productDescription":"e73185, 11 p.","ipdsId":"IP-180463","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":503008,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.73185","text":"Publisher Index Page"},{"id":502788,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"16","issue":"4","noUsgsAuthors":false,"publicationDate":"2026-04-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Lunt, Fiona","contributorId":369894,"corporation":false,"usgs":false,"family":"Lunt","given":"Fiona","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":959344,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scher, C. Lane","contributorId":369895,"corporation":false,"usgs":false,"family":"Scher","given":"C.","middleInitial":"Lane","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":959345,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mummah, Riley Olivia 0000-0002-4542-3483","orcid":"https://orcid.org/0000-0002-4542-3483","contributorId":342242,"corporation":false,"usgs":true,"family":"Mummah","given":"Riley","email":"","middleInitial":"Olivia","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":959346,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, David A.W.","contributorId":367856,"corporation":false,"usgs":false,"family":"Miller","given":"David","middleInitial":"A.W.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":959347,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70275152,"text":"70275152 - 2026 - Estimating GPS-based social aggregation metrics using collar data","interactions":[],"lastModifiedDate":"2026-04-17T15:45:55.825999","indexId":"70275152","displayToPublicDate":"2026-04-09T08:40:04","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Estimating GPS-based social aggregation metrics using collar data","docAbstract":"Understanding social aggregation patterns in ungulate herds is essential for gaining behavioral insights, optimizing resource use, reducing human-wildlife conflict, and managing disease risk. As chronic wasting disease is the preeminent disease-related threat to cervid populations in North America, knowledge of contact between individuals and spatiotemporal patterns of aggregation provides opportunity to understand and potentially reduce disease risk while supporting sustainable population sizes. Herd density metrics, derived from global positioning system (GPS) data, can be used to inform management decisions. To effectively compare aggregation behavior within and between herds, aggregation metrics must be accurate. However, the consistency of metrics across different GPS collar sample sizes remains unclear and robust studies of big game require understanding how these factors may vary in different contexts. We examined the minimum sample size necessary for reliable calculations of three aggregation metrics: pairwise inter-animal distances, daily proximity rates, and kernel density estimate (KDE) areas. We used GPS collar data from the Jackson and West Green River elk herds (Cervus canadensis) in western Wyoming, USA, that differ in herd size and group structure (single versus multiple sub-groups), representing common practical contexts. Elk locations were acquired for the Jackson herd between 2016 and 2019 and from 2005 to 2010 for the West Green River herd. Herd-specific characteristics substantially influence the sample size necessary for accurate density measurements. As predicted, larger herds with many groups require more GPS collars than small herds with fewer groups. The sample size needed to accurately estimate aggregation varies by metric, with KDE areas, useful for indexing environmentally transmitted disease risk, generally requiring fewer samples, especially in high-density contexts. The required sample size also varies with seasonal changes in density. During periods of highest density, similar sample sizes are required to estimate inter-animal distances and proximity rates regardless of herd characteristics. Our results have implications for costs associated with studying big game herds, indicating fewer collars may be sufficient in some cases. These insights can aid researchers and managers in determining the appropriate number of GPS collars required for effective herd monitoring and informing relevant aggregation metrics for their management goals.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0345546","usgsCitation":"Janousek, W.M., Cotterill, G.G., Lobo, O.J., Cole, E.K., Dewey, S.R., and Graves, T., 2026, Estimating GPS-based social aggregation metrics using collar data: PLoS ONE, v. 21, no. 4, e0345546, 13 p., https://doi.org/10.1371/journal.pone.0345546.","productDescription":"e0345546, 13 p.","ipdsId":"IP-178720","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":503430,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0345546","text":"Publisher Index Page"},{"id":503209,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Fossil Butte National Monument, National Elk Refuge, western Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.13468980343175,\n 45.014666844566335\n ],\n [\n -111.13468980343175,\n 42.0923321700117\n ],\n [\n -108.46959328577923,\n 42.0923321700117\n ],\n [\n -108.46959328577923,\n 45.014666844566335\n ],\n [\n -111.13468980343175,\n 45.014666844566335\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"21","issue":"4","noUsgsAuthors":false,"publicationDate":"2026-04-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Janousek, William Michael 0000-0003-3978-1775","orcid":"https://orcid.org/0000-0003-3978-1775","contributorId":237980,"corporation":false,"usgs":true,"family":"Janousek","given":"William","email":"","middleInitial":"Michael","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":959673,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cotterill, Gavin G. 0000-0002-1408-778X","orcid":"https://orcid.org/0000-0002-1408-778X","contributorId":346534,"corporation":false,"usgs":true,"family":"Cotterill","given":"Gavin","middleInitial":"G.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":959674,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lobo, Olivia J.","contributorId":370102,"corporation":false,"usgs":false,"family":"Lobo","given":"Olivia","middleInitial":"J.","affiliations":[{"id":87950,"text":"Nonfederal USGS Student Contractor","active":true,"usgs":false}],"preferred":false,"id":959675,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cole, Eric K.","contributorId":359536,"corporation":false,"usgs":false,"family":"Cole","given":"Eric","middleInitial":"K.","affiliations":[{"id":85847,"text":"US Fish and Wildlife Service, National Elk Refuge, Jackson, WY. USA","active":true,"usgs":false}],"preferred":false,"id":959676,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dewey, Sarah R.","contributorId":370103,"corporation":false,"usgs":false,"family":"Dewey","given":"Sarah","middleInitial":"R.","affiliations":[{"id":87954,"text":"NPS - Grand Teton National Park","active":true,"usgs":false}],"preferred":false,"id":959677,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Graves, Tabitha A. 0000-0001-5145-2400","orcid":"https://orcid.org/0000-0001-5145-2400","contributorId":202084,"corporation":false,"usgs":true,"family":"Graves","given":"Tabitha A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":959678,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70275071,"text":"70275071 - 2026 - Semantic segmentation of light-toned veins in multimodal ChemCam data","interactions":[],"lastModifiedDate":"2026-04-14T15:24:12.421568","indexId":"70275071","displayToPublicDate":"2026-04-09T08:12:35","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Semantic segmentation of light-toned veins in multimodal ChemCam data","docAbstract":"Since the Mars Science Laboratory landed in 2012, the ChemCam instrument aboard the rover has collected in-situ laser-induced breakdown spectroscopy (LIBS) data and context images along more than 35 km of the Gale Crater traverse, providing valuable observations including diagenetic features such as light-toned veins. These veins are of particular scientific interest because they are interpreted as indicators of past fluid circulation on Mars and provide insights into the evolution of habitability on Mars. Their identification, however, currently relies on manual visual inspection of Remote Micro Imager (RMI) images, a process that is time-consuming and sensitive to differences in human interpretation. To address this issue, in this paper we introduce a novel pixel-level labeled, multimodal dataset of ChemCam observations specifically tailored for vein detection, along with customized U-Net models to integrate both textural (RMI) and chemical (LIBS) modalities. To further ensure trustworthy scientific use, we incorporate the Learn-Then-Test (LTT) framework to provide statistical control of the false discovery rate without requiring model retraining. The experimental results demonstrate that the proposed customized U-Net models trained on the developed dataset, combined with risk-controlled prediction, increases the efficiency of pixel-level vein identification through automation and produces statistically reliable predictions for multimodal ChemCam data.
","language":"English","publisher":"Springer Nature","doi":"10.1038/s41598-026-47207-0","usgsCitation":"Lomashvili, A., Rammelkamp, K., Bhattacharjee, P., Gasnault, O., Clavé, E., Egerland, C.H., Schröder, S., Gabriel, T.S., Essunfeld, A., Le Mouélic, S., and Demir, B., 2026, Semantic segmentation of light-toned veins in multimodal ChemCam data: Scientific Reports, v. 16, 12052, 15 p., https://doi.org/10.1038/s41598-026-47207-0.","productDescription":"12052, 15 p.","ipdsId":"IP-187556","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":503006,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-026-47207-0","text":"Publisher Index Page"},{"id":502785,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"16","noUsgsAuthors":false,"publicationDate":"2026-04-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Lomashvili, Ana","contributorId":369911,"corporation":false,"usgs":false,"family":"Lomashvili","given":"Ana","affiliations":[{"id":64112,"text":"German Aerospace Center","active":true,"usgs":false}],"preferred":false,"id":959359,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rammelkamp, Kristin","contributorId":289781,"corporation":false,"usgs":false,"family":"Rammelkamp","given":"Kristin","affiliations":[{"id":62247,"text":"Institut de Recherche en Astrophysique et Planetologie","active":true,"usgs":false}],"preferred":false,"id":959360,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bhattacharjee, Protim","contributorId":369912,"corporation":false,"usgs":false,"family":"Bhattacharjee","given":"Protim","affiliations":[{"id":64112,"text":"German Aerospace Center","active":true,"usgs":false}],"preferred":false,"id":959361,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gasnault, Olivier","contributorId":181928,"corporation":false,"usgs":false,"family":"Gasnault","given":"Olivier","affiliations":[],"preferred":false,"id":959362,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clavé, Elise","contributorId":296842,"corporation":false,"usgs":false,"family":"Clavé","given":"Elise","affiliations":[{"id":64188,"text":"Planetary Exploration Team, Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":959363,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Egerland, Christoph H.","contributorId":369913,"corporation":false,"usgs":false,"family":"Egerland","given":"Christoph","middleInitial":"H.","affiliations":[{"id":64112,"text":"German Aerospace Center","active":true,"usgs":false}],"preferred":false,"id":959364,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schröder, Susanne","contributorId":351652,"corporation":false,"usgs":false,"family":"Schröder","given":"Susanne","affiliations":[{"id":47627,"text":"DLR","active":true,"usgs":false}],"preferred":false,"id":959365,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gabriel, Travis S.J. 0000-0002-9767-4153","orcid":"https://orcid.org/0000-0002-9767-4153","contributorId":267903,"corporation":false,"usgs":true,"family":"Gabriel","given":"Travis","middleInitial":"S.J.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":959366,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Essunfeld, Ari","contributorId":369917,"corporation":false,"usgs":false,"family":"Essunfeld","given":"Ari","affiliations":[{"id":48588,"text":"Los Alamos National Lab","active":true,"usgs":false}],"preferred":false,"id":959367,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Le Mouélic, Stéphane","contributorId":92786,"corporation":false,"usgs":false,"family":"Le Mouélic","given":"Stéphane","affiliations":[],"preferred":false,"id":959368,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Demir, Begüm","contributorId":369925,"corporation":false,"usgs":false,"family":"Demir","given":"Begüm","affiliations":[{"id":87885,"text":"BIFOLD and Tu Berlin","active":true,"usgs":false}],"preferred":false,"id":959369,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70275750,"text":"70275750 - 2026 - Describing the seasonal abundance and growth rates of larval fishes across productivity gradients in Lake Huron in 2017","interactions":[],"lastModifiedDate":"2026-06-16T14:47:59.978533","indexId":"70275750","displayToPublicDate":"2026-04-09T07:57:51","publicationYear":"2026","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":"Describing the seasonal abundance and growth rates of larval fishes across productivity gradients in Lake Huron in 2017","docAbstract":"Several of the Laurentian Great Lakes, including Lake Huron, have undergone oligotrophication in the past decades and prey fish biomass has concomitantly declined. One potential mechanism to explain declines in prey fish is slower growth and lower survival at the larval stage. To determine whether reduced productivity affects the growth of larval fish, we sampled larval fishes and their environment approximately monthly from May through August 2017 at nine nearshore to offshore transects across Lake Huron that included North Channel, Georgian Bay, and the main basin. North Channel transects had the highest chlorophyll a concentrations and zooplankton densities. Rainbow smelt (Osmerus mordax), burbot (Lota lota), bloater (Coregonus hoyi), and shiners (Notropis spp.) were the most abundant larval fish taxa, peaking in June and July. We aged rainbow smelt and bloater using otoliths, and estimates of growth rate revealed rainbow smelt always grew faster. For both species, we explained variation in total length by comparing 16 candidate linear mixed-effects models, with age, chlorophyll a, zooplankton, water temperature, larval fish density, and interactions with age as predictor variables. For rainbow smelt, the full model was best; zooplankton had the greatest effect, but it was negative and opposite from our hypothesis. For bloater, four candidate models were most parsimonious; water temperature had the greatest effect, and it was positive as predicted from our hypothesis. To more effectively evaluate whether zooplankton can limit larval fish growth and survival, we recommend that future designs conduct more frequently sampling within a year even at the expense of fewer transects.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2026.102817","usgsCitation":"Bunnell, D.B., Eaton, L.A., Dieter, P.M., Collingsworth, P., Hoffman, J.C., Rowe, M.D., Stott, W., Ackiss, A.S., and Rutherford, E.S., 2026, Describing the seasonal abundance and growth rates of larval fishes across productivity gradients in Lake Huron in 2017: Journal of Great Lakes Research, v. 52, no. 3, 102817, 15 p., https://doi.org/10.1016/j.jglr.2026.102817.","productDescription":"102817, 15 p.","ipdsId":"IP-182655","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":504477,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Huron","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -84.58185200845517,\n 46.519644985424634\n ],\n [\n -84.58185200845517,\n 43.082049264308324\n ],\n [\n -79.6331783866257,\n 43.082049264308324\n ],\n [\n -79.6331783866257,\n 46.519644985424634\n ],\n [\n -84.58185200845517,\n 46.519644985424634\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"52","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bunnell, David B. 0000-0003-3521-7747","orcid":"https://orcid.org/0000-0003-3521-7747","contributorId":216545,"corporation":false,"usgs":true,"family":"Bunnell","given":"David","middleInitial":"B.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":961635,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eaton, Lauren A.","contributorId":211815,"corporation":false,"usgs":false,"family":"Eaton","given":"Lauren","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":961636,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dieter, Patricia M. 0000-0003-1686-2679","orcid":"https://orcid.org/0000-0003-1686-2679","contributorId":217345,"corporation":false,"usgs":true,"family":"Dieter","given":"Patricia","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":961637,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collingsworth, Paris D.","contributorId":354643,"corporation":false,"usgs":false,"family":"Collingsworth","given":"Paris D.","affiliations":[{"id":84645,"text":"Illinois-Indiana SeaGrant","active":true,"usgs":false}],"preferred":false,"id":961638,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hoffman, Joel C.","contributorId":361653,"corporation":false,"usgs":false,"family":"Hoffman","given":"Joel","middleInitial":"C.","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":961639,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rowe, Mark D.","contributorId":208536,"corporation":false,"usgs":false,"family":"Rowe","given":"Mark","middleInitial":"D.","affiliations":[],"preferred":false,"id":961640,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stott, Wendylee 0000-0002-5252-4901","orcid":"https://orcid.org/0000-0002-5252-4901","contributorId":242990,"corporation":false,"usgs":false,"family":"Stott","given":"Wendylee","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":961641,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ackiss, Amanda Susanne 0000-0002-8726-7423","orcid":"https://orcid.org/0000-0002-8726-7423","contributorId":272165,"corporation":false,"usgs":true,"family":"Ackiss","given":"Amanda","email":"","middleInitial":"Susanne","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":961642,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rutherford, Edward S.","contributorId":175426,"corporation":false,"usgs":false,"family":"Rutherford","given":"Edward","email":"","middleInitial":"S.","affiliations":[{"id":12789,"text":"NOAA Great Lakes Environmental Research Laboratory","active":true,"usgs":false}],"preferred":false,"id":961643,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70274763,"text":"cir1566 - 2026 - Yellowstone Volcano Observatory 2024 annual report","interactions":[],"lastModifiedDate":"2026-06-02T19:18:27.418416","indexId":"cir1566","displayToPublicDate":"2026-04-09T07:47:15","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1566","displayTitle":"Yellowstone Volcano Observatory 2024 Annual Report","title":"Yellowstone Volcano Observatory 2024 annual report","docAbstract":"The Yellowstone Volcano Observatory (YVO) monitors volcanic and hydrothermal activity associated with the Yellowstone magmatic system, carries out research into magmatic processes occurring beneath Yellowstone Caldera, and issues timely warnings and guidance related to potential future geologic hazards. YVO is a collaborative consortium that includes the U.S. Geological Survey (USGS), Yellowstone National Park, University of Utah, University of Wyoming, Montana State University, EarthScope Consortium, Wyoming State Geological Survey, Montana Bureau of Mines and Geology, and Idaho Geological Survey. The USGS component of YVO also has the operational responsibility for monitoring volcanic activity in the Intermountain West of the United States, including Arizona, New Mexico, Utah, and Colorado. This report summarizes the activities and findings of YVO during the year 2024, focusing on the Yellowstone volcanic system.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1566","usgsCitation":"Yellowstone Volcano Observatory, 2026, Yellowstone Volcano Observatory 2024 annual report: U.S. Geological Survey Circular 1566, 44 p., https://doi.org/10.3133/cir1566.","productDescription":"Report: vi, 44 p.; Infographic","numberOfPages":"44","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-175178","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":502316,"rank":6,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/circ/1566/images"},{"id":502315,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/circ/1566/cir1566.XML","linkFileType":{"id":8,"text":"xml"},"description":"CIRC 1566 XML"},{"id":502313,"rank":3,"type":{"id":13,"text":"Illustration"},"url":"https://pubs.usgs.gov/circ/1566/cir1566_infographic.pdf","text":"Infographic","size":"1.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"CIRC 1566 Infographic"},{"id":502312,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1566/cir1566.pdf","text":"Report","size":"45 MB","linkFileType":{"id":1,"text":"pdf"},"description":"CIRC 1566 PDF"},{"id":502311,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1566/coverthb.jpg"},{"id":502712,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119357.htm","linkFileType":{"id":5,"text":"html"}},{"id":502314,"rank":4,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/cir1566/full","linkFileType":{"id":5,"text":"html"},"description":"CIRC 1566 HTML"}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.16258179005546,\n 45.11759231779851\n ],\n [\n -111.16258179005546,\n 44.133614417965674\n ],\n [\n -109.62368747854985,\n 44.133614417965674\n ],\n [\n -109.62368747854985,\n 45.11759231779851\n ],\n [\n -111.16258179005546,\n 45.11759231779851\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Yellowstone Volcano Observatory
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","tableOfContents":"No abstract available.
","language":"English","publisher":"National Grrundwater Association","doi":"10.1111/gwat.70067","usgsCitation":"Christenson, C., and McCoy, K., 2026, Natural language processing for groundwater insights: Groundwater, https://doi.org/10.1111/gwat.70067.","ipdsId":"IP-182736","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":502984,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gwat.70067","text":"Publisher Index Page"},{"id":502942,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-04-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Christenson, Catherine 0000-0001-5944-2186 cchristenson@usgs.gov","orcid":"https://orcid.org/0000-0001-5944-2186","contributorId":200263,"corporation":false,"usgs":true,"family":"Christenson","given":"Catherine","email":"cchristenson@usgs.gov","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":959474,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCoy, Kurt J. 0000-0002-9756-8238","orcid":"https://orcid.org/0000-0002-9756-8238","contributorId":216196,"corporation":false,"usgs":true,"family":"McCoy","given":"Kurt J.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":959475,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70274719,"text":"dr1224 - 2026 - Selected water-quality data from the Cedar River and Cedar Rapids well fields, Cedar Rapids, Iowa, 2017–22","interactions":[],"lastModifiedDate":"2026-04-10T18:18:25.031448","indexId":"dr1224","displayToPublicDate":"2026-04-08T09:46:27","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":9318,"text":"Data Report","code":"DR","onlineIssn":"2771-9448","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1224","displayTitle":"Selected Water-Quality Data from the Cedar River and Cedar Rapids Well Fields, Cedar Rapids, Iowa, 2017–22","title":"Selected water-quality data from the Cedar River and Cedar Rapids well fields, Cedar Rapids, Iowa, 2017–22","docAbstract":"The Cedar River alluvial aquifer is the source of drinking water in Cedar Rapids, Iowa. Production wells are completed in the alluvial aquifer approximately 40 to 80 feet below land surface. The City of Cedar Rapids and the U.S. Geological Survey have studied the groundwater-flow system and water quality of the aquifer in the vicinity of Cedar Rapids since 1992. Results of these studies documented hydrologic conditions, water quality, and geochemistry of the alluvial aquifer and interactions with the Cedar River. Water-quality samples were collected for studies involving well field monitoring, trends, source-water protection, groundwater geochemistry, surface-water–groundwater interaction, and pesticides in groundwater and surface water. Water quality was analyzed for dissolved major ions (boron, bromide, calcium, chloride, fluoride, iron, magnesium, manganese, potassium, silica, sodium, sulfate, and total dissolved solids), dissolved nutrients (ammonia as nitrogen, ammonia plus organic nitrogen as nitrogen, nitrite plus nitrate as nitrogen, nitrite as nitrogen, orthophosphate as phosphorus, and phosphorus), dissolved organic carbon, and selected pesticides. Physical characteristics (alkalinity, dissolved oxygen, pH, specific conductance, and water temperature) were measured on site and recorded for each water sample collected. This report presents the results of routine water-quality data-collection activities from October 2017 through September 2022. Methods of data collection, quality assurance, water-quality analyses, and statistical procedures are presented. Data include the results of water-quality analyses from quarterly sampling from monitoring wells, production wells, two water treatment plants, and the Cedar River at Blairs Ferry Road at Palo, Iowa, streamgage (U.S. Geological Survey station number 05464420), as well as monthly nutrient sampling from the Cedar River and Morgan Creek near Covington, Iowa, streamgage (U.S. Geological Survey station number 05464475).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1224","collaboration":"Prepared in cooperation with City of Cedar Rapids Utilities Water Division","usgsCitation":"Meppelink, S.M., and Kalkhoff, S.J., 2026, Selected water-quality data from the Cedar River and Cedar Rapids well fields, Cedar Rapids, Iowa, 2017–22: U.S. Geological Survey Data Report 1224, 34 p., https://doi.org/10.3133/dr1224.","productDescription":"Report: vii, 34 p.; Dataset","numberOfPages":"46","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-171718","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":502710,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119355.htm","linkFileType":{"id":5,"text":"html"}},{"id":502244,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1224/dr1224.pdf","text":"Report","size":"2.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DR 1224"},{"id":502243,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1224/coverthb.jpg"},{"id":502245,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1224/dr1224.XML"},{"id":502246,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1224/images/"},{"id":502247,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/dr1224/full"},{"id":502248,"rank":6,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"- USGS water data for the Nation"}],"country":"United States","state":"Iowa","city":"Cedar Rapids","otherGeospatial":"Cedar Rapids Well Fields, Cedar River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.80773266985493,\n 42.032866361741156\n ],\n [\n -91.80773266985493,\n 41.90007413791929\n ],\n [\n -91.50986519614662,\n 41.90007413791929\n ],\n [\n -91.50986519614662,\n 42.032866361741156\n ],\n [\n -91.80773266985493,\n 42.032866361741156\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Central Midwest Water Science Center
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","language":"English","publisher":"BioOne","doi":"10.65087/aehm.028.03.9","usgsCitation":"Ludsin, S.A., Munawar, M., Boegehold, A.G., Drake, D.R., Kowalski, K., and Pintor, L.M., 2026, Ecology of Lake Erie – Wetlands and lake-wide planktonic communities: A synthesis: Aquatic Ecosystem Health & Management, v. 28, no. 3, p. 122-131, https://doi.org/10.65087/aehm.028.03.9.","productDescription":"10 p.","startPage":"122","endPage":"131","ipdsId":"IP-186126","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":503221,"rank":3,"type":{"id":42,"text":"Open Access USGS Document"},"url":"https://pubs.usgs.gov/publication/70275150/full"},{"id":503220,"rank":2,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/ja/70275150/70275150.XML"},{"id":503210,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Erie","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -83.68588345968959,\n 41.95721669219145\n ],\n [\n -83.4293543138805,\n 41.42462773901843\n ],\n [\n -81.67839683358487,\n 41.282330238367535\n ],\n [\n -79.49775865025839,\n 42.099234474211414\n ],\n [\n -78.67715940750671,\n 42.83374780854555\n ],\n [\n -79.34990285265101,\n 43.03769892181995\n ],\n [\n -81.2275576607633,\n 42.74910668436203\n ],\n [\n -82.45672056022644,\n 42.35316168827674\n ],\n [\n -83.68588345968959,\n 41.95721669219145\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"28","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ludsin, Stuart A.","contributorId":370095,"corporation":false,"usgs":false,"family":"Ludsin","given":"Stuart","middleInitial":"A.","affiliations":[{"id":36630,"text":"Ohio State University","active":true,"usgs":false}],"preferred":false,"id":959661,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Munawar, Mohiuddin","contributorId":350770,"corporation":false,"usgs":false,"family":"Munawar","given":"Mohiuddin","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":959662,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boegehold, Anna G.","contributorId":370096,"corporation":false,"usgs":false,"family":"Boegehold","given":"Anna","middleInitial":"G.","affiliations":[{"id":38322,"text":"International Joint Commission","active":true,"usgs":false}],"preferred":false,"id":959663,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Drake, D. Andrew R.","contributorId":370097,"corporation":false,"usgs":false,"family":"Drake","given":"D. 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As restoration efforts for these coastal wetlands increase, there is a need to characterize how well restored areas support the life histories of wetland, riverine, and lake fishes. Most traditional survey methods (e.g. 24hr trap netting, visual surveys) are implemented over periods of time that make it difficult to describe short-term fluxes in fish activity, especially in waters with difficult access or high turbidity. To address this gap, we used acoustic sonar technology to evaluate fish movement in a recently reconnected coastal wetland on the southern shore of western Lake Erie. Data collected over four years (2011-2014) indicated that the 10 ha wetland was continuously utilized by millions of fish, with discernible fluctuations in usage patterns observed on both daily and annual scales. These insights add to our understanding of how fish assemblages respond to restored coastal wetland habitats and can inform management decisions that may impact fish access (e.g. conduct management activities that may be disruptive to fish populations during periods of reduced utilization). Additional study of short-term fish movements using high-resolution sonar and other technologies will reveal patterns that may enhance the effectiveness of restoration and management efforts in Great Lakes coastal wetlands.
","language":"English","publisher":"BioOne","doi":"10.65087/aehm.028.03.6","usgsCitation":"Kowalski, K., Bozimowski, A.A., Smith, M.K., Eggleston, M.R., Ramsay, M.F., and Eschenburg, H.J., 2026, Abundance and movement patterns of fish accessing a reconnected Lake Erie coastal wetland: Insights from high-resolution sonar data: Aquatic Ecosystem Health & Management, v. 28, no. 3, p. 66-85, https://doi.org/10.65087/aehm.028.03.6.","productDescription":"20 p.","startPage":"66","endPage":"85","ipdsId":"IP-172904","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":504060,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1NBW3ZR","text":"USGS data release","linkHelpText":"Fish activity and movement information derived from acoustic monitoring of a restored Lake Erie coastal wetland from 2011-2014"},{"id":503218,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/ja/70275151/70275151.XML"},{"id":503217,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/ja/70275151/images"},{"id":503216,"rank":2,"type":{"id":42,"text":"Open Access USGS Document"},"url":"https://pubs.usgs.gov/publication/70275151/full"},{"id":503208,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Erie","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -83.71462534661718,\n 41.95593762513241\n ],\n [\n -83.74669753332171,\n 41.454363462682736\n ],\n [\n -82.95547774726458,\n 41.134595242680945\n ],\n [\n -80.146092871441,\n 41.744499077895625\n ],\n [\n -78.57040920390754,\n 42.606147598203336\n ],\n [\n -78.9027064101147,\n 43.02966310159454\n ],\n [\n -81.43584525983228,\n 42.76553256151861\n ],\n [\n -83.71462534661718,\n 41.95593762513241\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"28","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kowalski, Kurt P. 0000-0002-8424-4701 kkowalski@usgs.gov","orcid":"https://orcid.org/0000-0002-8424-4701","contributorId":3768,"corporation":false,"usgs":true,"family":"Kowalski","given":"Kurt P.","email":"kkowalski@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":959667,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bozimowski, Alexandra A. 0000-0002-0835-1089","orcid":"https://orcid.org/0000-0002-0835-1089","contributorId":328563,"corporation":false,"usgs":true,"family":"Bozimowski","given":"Alexandra","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":959668,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, McKenzie K.H. 0000-0003-0516-3661 mksmith@usgs.gov","orcid":"https://orcid.org/0000-0003-0516-3661","contributorId":190413,"corporation":false,"usgs":true,"family":"Smith","given":"McKenzie","email":"mksmith@usgs.gov","middleInitial":"K.H.","affiliations":[],"preferred":true,"id":959669,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eggleston, Michael R.","contributorId":370099,"corporation":false,"usgs":false,"family":"Eggleston","given":"Michael","middleInitial":"R.","affiliations":[{"id":87949,"text":"Michigan Department of Environment Great Lakes and Energy, Remediation and Redevelopment Division","active":true,"usgs":false}],"preferred":false,"id":959670,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ramsay, Maxwell F.","contributorId":370100,"corporation":false,"usgs":false,"family":"Ramsay","given":"Maxwell","middleInitial":"F.","affiliations":[{"id":83707,"text":"Gogebic Conservation District","active":true,"usgs":false}],"preferred":false,"id":959671,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Eschenburg, Holly J.","contributorId":370101,"corporation":false,"usgs":false,"family":"Eschenburg","given":"Holly","middleInitial":"J.","affiliations":[{"id":34270,"text":"Independent contractor","active":true,"usgs":false}],"preferred":false,"id":959672,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70276372,"text":"70276372 - 2026 - A chromosome-level genome assembly of a vernal pool specialist amphibian, the Western Spadefoot, Spea hammondii","interactions":[{"subject":{"id":70276374,"text":"70276374 - 2026 - A chromosome-level genome assembly of a vernal pool specialist amphibian, the Western Spadefoot, Spea hammondii","indexId":"70276374","publicationYear":"2026","noYear":false,"displayTitle":"A chromosome-level genome assembly of a vernal pool specialist amphibian, the Western Spadefoot, Spea hammondii","title":"A chromosome-level genome assembly of a vernal pool specialist amphibian, the Western Spadefoot, Spea hammondii"},"predicate":"SUPERSEDED_BY","object":{"id":70276372,"text":"70276372 - 2026 - A chromosome-level genome assembly of a vernal pool specialist amphibian, the Western Spadefoot, Spea hammondii","indexId":"70276372","publicationYear":"2026","noYear":false,"title":"A chromosome-level genome assembly of a vernal pool specialist amphibian, the Western Spadefoot, Spea hammondii"},"id":1}],"lastModifiedDate":"2026-06-02T13:33:01.34172","indexId":"70276372","displayToPublicDate":"2026-04-08T08:28:19","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2333,"text":"Journal of Heredity","active":true,"publicationSubtype":{"id":10}},"displayTitle":"A chromosome-level genome assembly of a vernal pool specialist amphibian, the Western Spadefoot, Spea hammondii","title":"A chromosome-level genome assembly of a vernal pool specialist amphibian, the Western Spadefoot, Spea hammondii","docAbstract":"We assembled and annotated a chromosome-level genome for the Western Spadefoot, Spea hammondii (Anura, Scaphiopodidae) representing one of only three amphibians included in the California Conservation Genomics Project (CCGP). Spea hammondii is a vernal pool breeding anuran native to California and northwestern Baja California which has undergone both range contractions and local extirpations across its distribution, primarily due to habitat loss and degradation and drought. The species is recognized by the state of California as a Species of Special Concern and is proposed for listing under the United States Endangered Species Act. Using the established CCGP pipeline, this S. hammondii genome was produced using Pacific Biosciences HiFi long-reads and Omni-C proximity ligation, resulting in a de novo genome assembly 1.14 Gb in length, distributed across 479 scaffolds (scaffold N50 = 120.8 Mb; largest scaffold = 183.6 Mb) with a BUSCO completeness score of 90.9% using a conserved tetrapod ortholog set. Our assembly shows high base accuracy (quality value [QV] = 63.7) and low frameshift error in coding regions (QV 50.42). Annotation of this genome yielded 20,434 genes with a BUSCO completeness score of 94.7%. This genome assembly, in combination with range-wide resequencing data from CCGP, will facilitate statewide population genomic assessments to delineate conservation units, quantify inbreeding and genomic load, and test for adaptive variation associated with vernal pool hydrology and drought tolerance, all of which are important considerations in the proposed federal listing.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/jhered/esag009","usgsCitation":"Thompsky, B., Beraut, E., Cooper, R.D., Escalona, M., Espinoza, R.E., Fisher, R.N., Miller, C., Nguyen, O., Sacco, S., Sahasrabudhe, R., Seligmann, W.E., Tofflemier, E., Wang, I.J., and Schaffer, H.B., 2026, A chromosome-level genome assembly of a vernal pool specialist amphibian, the Western Spadefoot, Spea hammondii: Journal of Heredity, https://doi.org/10.1093/jhered/esag009.","ipdsId":"IP-187274","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":504944,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-04-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Thompsky, Ben","contributorId":371642,"corporation":false,"usgs":false,"family":"Thompsky","given":"Ben","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":962229,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beraut, Eric","contributorId":299352,"corporation":false,"usgs":false,"family":"Beraut","given":"Eric","email":"","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":962230,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cooper, Robert D.","contributorId":371643,"corporation":false,"usgs":false,"family":"Cooper","given":"Robert","middleInitial":"D.","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":962231,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Escalona, Merly","contributorId":299346,"corporation":false,"usgs":false,"family":"Escalona","given":"Merly","email":"","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":962232,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Espinoza, Robert E.","contributorId":371644,"corporation":false,"usgs":false,"family":"Espinoza","given":"Robert","middleInitial":"E.","affiliations":[{"id":36305,"text":"CSU Northridge","active":true,"usgs":false}],"preferred":false,"id":962233,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":962234,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Miller, Courtney","contributorId":371645,"corporation":false,"usgs":false,"family":"Miller","given":"Courtney","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":962235,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nguyen, Oanh","contributorId":299348,"corporation":false,"usgs":false,"family":"Nguyen","given":"Oanh","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":962236,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sacco, Samuel","contributorId":299349,"corporation":false,"usgs":false,"family":"Sacco","given":"Samuel","email":"","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":962237,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sahasrabudhe, Ruta","contributorId":367055,"corporation":false,"usgs":false,"family":"Sahasrabudhe","given":"Ruta","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":962238,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Seligmann, William E.","contributorId":371646,"corporation":false,"usgs":false,"family":"Seligmann","given":"William","middleInitial":"E.","affiliations":[{"id":6948,"text":"UC Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":962239,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Tofflemier, Erin","contributorId":371647,"corporation":false,"usgs":false,"family":"Tofflemier","given":"Erin","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":962240,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Wang, Ian J.","contributorId":371648,"corporation":false,"usgs":false,"family":"Wang","given":"Ian","middleInitial":"J.","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":962241,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Schaffer, H. 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Despite this growing interest, some of the most voluminous eruptions of differentiated rift zone magmas remain poorly studied. One such eruption, and the most voluminous exposed differentiated flow field at Kīlauea, is the Kamakaiʻa Hills. This eruption took place in the Southwest Rift Zone of Kīlauea, a region that is hypothesized to contain a long-lived rift zone reservoir. The Kamakaiʻa Hills flow field encompasses >250 × 106 m3 of basaltic andesite and basalt compositions with a mineral assemblage of orthopyroxene + clinopyroxene + plagioclase during its early ʻaʻā phase and clinopyroxene + plagioclase + olivine during its late pāhoehoe phase. To better understand storage conditions and magma accumulation, this study focuses on major, minor, and trace elements from the mineral assemblage present within the early ʻaʻā and late pāhoehoe phases. The diversity of clinopyroxene and plagioclase compositions within the early ʻaʻā and late pāhoehoe phases, as well as diverse compositions of plagioclase and orthopyroxene within the early ʻaʻā phase, suggest multiple magma bodies and limited pre-eruption magma mixing within the broader Kamakaiʻa Hills reservoir. Oscillatory zoning patterns (particularly in clinopyroxene) imply processes such as recharge events, magma mixing or mingling, or convection within a differentially cooling, chemically stratified reservoir over protracted time intervals, whereas only limited resorbed mineral textures indicate incomplete mixing of heat and chemically distinct magmas during the dike intrusion that triggered the eruption. Mineral-mineral and mineral-melt thermobarometry indicate predominantly shallow (≤2.5 km depth) crustal storage conditions of the cooled, differentiated magma (∼1100 °C and cooler for the basaltic andesites) to hotter temperatures for the basalts (all >1100 °C). Despite the known large standard errors estimated for mineral-melt and mineral-mineral barometry (10s to >100 MPa), the calculated pressures and depths broadly correspond with earthquake swarm depths beneath the Kamakaiʻa Hills, and drill core and fluid inclusion barometry storage depths of differentiated magmas within the lower East Rift Zone. The Kamakaiʻa Hills differentiated magmas have H2O contents (∼0.5 wt%, using plagioclase-melt hygrometry) equivalent to typical Kīlauea basalts. Our data and interpretations demonstrate a complex, long-lived rift zone storage system that consisted of multiple magma bodies and was mobilized into eruption through intrusion of a hotter and more primitive summit-derived (uprift) magma.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2026.108617","usgsCitation":"Downs, D.T., and Sas, M., 2026, Mineral chemistry perspective on remobilization of stored magma at Kamakai'a Hills, Southwest Rift Zone of Kilauea, Island of Hawai'i, USA: Journal of Volcanology and Geothermal Research, v. 474, 108617, 21 p., https://doi.org/10.1016/j.jvolgeores.2026.108617.","productDescription":"108617, 21 p.","ipdsId":"IP-183554","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":502744,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kamakaiʻa Hills, Kilauea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -155.509101604398,\n 19.66848997608244\n ],\n [\n -155.509101604398,\n 19.173760203668323\n ],\n [\n -154.75976134321473,\n 19.173760203668323\n ],\n [\n -154.75976134321473,\n 19.66848997608244\n ],\n [\n -155.509101604398,\n 19.66848997608244\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"474","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Downs, Drew T. 0000-0002-9056-1404 ddowns@usgs.gov","orcid":"https://orcid.org/0000-0002-9056-1404","contributorId":173516,"corporation":false,"usgs":true,"family":"Downs","given":"Drew","email":"ddowns@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":959271,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sas, May","contributorId":194298,"corporation":false,"usgs":false,"family":"Sas","given":"May","email":"","affiliations":[],"preferred":false,"id":959272,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70275230,"text":"70275230 - 2026 - How wildlife respond to tropical cyclones: Short-term tactics and long-term impacts","interactions":[],"lastModifiedDate":"2026-04-23T14:52:45.598656","indexId":"70275230","displayToPublicDate":"2026-04-08T07:45:30","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1023,"text":"Biological Reviews","active":true,"publicationSubtype":{"id":10}},"title":"How wildlife respond to tropical cyclones: Short-term tactics and long-term impacts","docAbstract":"From butterflies to lizards and from sharks to seabirds, wildlife exhibit tactics to survive the impacts of tropical cyclones, also known as hurricanes, cyclones, or typhoons depending on where they occur. Some species seek refuge during the storm by moving, some remain in place and ride it out, and others move longer distances, avoiding the main impacts of the storm altogether. Tropical cyclones can have direct impacts on wildlife (e.g. mortality) but can also have indirect effects by altering resources and habitat, with downstream impacts on abundance and recruitment. Using examples from across taxa and ecosystems, we explore the pathways by which tropical cyclones can influence wildlife populations and communities. We describe tactics demonstrated by wildlife that enable them to survive the immediate impacts of the storm, as well as the longer-term impacts after the storm. We give examples of tropical cyclones as a selective pressure and as a facilitator for the introduction of invasive species. We also describe how tropical cyclones may provide a net benefit to some native species. The ecological and evolutionary impacts of tropical cyclones on wildlife can be complex, as they are often intertwined with concurrent pressures from land-use change, human development, and climate change. As the frequency of intense tropical cyclones is predicted to increase globally, identifying the mechanisms by which wildlife cope with such disturbances can aid in understanding and mitigating the impacts of climate change on wildlife.
","language":"English","publisher":"Cambridge Philosophical Society","doi":"10.1002/brv.70166","usgsCitation":"Koen, E.L., Meliane, M., Holmes, Z.B., Miller, K.E., Barichivich, W.J., Dedeban, E., Furst, A., Imeri, M., Niebanck, P.E., Nunn, S., Pearson, K., Rita, N., Ryver, B., Shaffer, D., Walls, S.C., and Ellington, E.H., 2026, How wildlife respond to tropical cyclones: Short-term tactics and long-term impacts: Biological Reviews, 22 p., https://doi.org/10.1002/brv.70166.","productDescription":"22 p.","ipdsId":"IP-163434","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":503448,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/brv.70166","text":"Publisher Index Page"},{"id":503343,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Online 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Hance 0000-0001-7899-2781","orcid":"https://orcid.org/0000-0001-7899-2781","contributorId":370356,"corporation":false,"usgs":false,"family":"Ellington","given":"E.","middleInitial":"Hance","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":960195,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70274705,"text":"sir20265001 - 2026 - Simulated seasonal loads of total nitrogen and total phosphorus by major source from watersheds draining to Washington waters of the Salish Sea, 2005 through 2020","interactions":[{"subject":{"id":70267521,"text":"70267521 - 2025 - Preprint: Simulated seasonal loads of total nitrogen and total phosphorus by major source from watersheds draining to Washington waters of the Salish Sea, 2005 through 2020","indexId":"70267521","publicationYear":"2025","noYear":false,"title":"Preprint: Simulated seasonal loads of total nitrogen and total phosphorus by major source from watersheds draining to Washington waters of the Salish Sea, 2005 through 2020"},"predicate":"SUPERSEDED_BY","object":{"id":70274705,"text":"sir20265001 - 2026 - Simulated seasonal loads of total nitrogen and total phosphorus by major source from watersheds draining to Washington waters of the Salish Sea, 2005 through 2020","indexId":"sir20265001","publicationYear":"2026","noYear":false,"title":"Simulated seasonal loads of total nitrogen and total phosphorus by major source from watersheds draining to Washington waters of the Salish Sea, 2005 through 2020"},"id":1}],"lastModifiedDate":"2026-04-10T18:20:31.25097","indexId":"sir20265001","displayToPublicDate":"2026-04-08T06:49:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2026-5001","displayTitle":"Simulated Seasonal Loads of Total Nitrogen and Total Phosphorus by Major Source from Watersheds Draining to Washington Waters of the Salish Sea, 2005 through 2020","title":"Simulated seasonal loads of total nitrogen and total phosphorus by major source from watersheds draining to Washington waters of the Salish Sea, 2005 through 2020","docAbstract":"The U.S. Geological Survey and the Washington State Department of Ecology (Ecology) have developed watershed models of seasonal load estimates of total nitrogen (TN) and total phosphorus (TP) discharging into the Washington State waters of the Salish Sea from 2005 through 2020. The modeling approach used was dynamic SPARROW (SPAtially Referenced Regressions On Watershed attributes), a statistical-physical watershed modeling technique, initially applied at large spatial scales to represent long-term average stream loads throughout a stream network, refined here to estimate seasonal TN and TP loads across watersheds.
Upstream contributing sources included permitted treated wastewater facilities, crop fertilizer, animal feeding operations, septic systems, urban land and stormwater, atmospheric deposition (TN only), nitrogen fixation by Alnus rubra Bong. (red alder) trees (TN only), and background geologic material (TP only). Instream load magnitudes and their source compositions varied across watersheds, and even within each watershed, yet the largest loads typically occurred in the large rivers during winter and fall when streamflow was highest. Likewise, instream loads were typically lowest in summer during low streamflow, yet the relative instream aquatic decay was highest. The seasonal storage lag component of all nonpoint sources was estimated to contribute a quarter of the seasonal instream load during winter and fall high streamflow and sometimes half of the instream load during summer low streamflow.
Simulated seasonal loads carried by streams to a few hundred river mouth marine discharge points ranged by several orders-of-magnitude for TN and TP due to the spatial and seasonal differences in hydrologic flows, magnitude and timing of contributing sources, and instream decay. The Snohomish and Skagit Rivers discharged the largest TN and TP loads, yet the Samish River was shown to have some of the highest TN and TP yields and concentrations. Additionally, a reference scenario estimate developed of the pre-industrial local and regional TN loads suggests that red alder tree density has increased in lower riparian areas and that treated wastewater is the dominant source in some watersheds that has led to increases in TN loading to marine waters.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265001","collaboration":"Prepared in cooperation with Washington State Department of Ecology","programNote":"Water Availability and Use Science Program","usgsCitation":"Schmadel, N.M., Figueroa-Kaminsky, C., Wise, D.R., Wasielewski, J.K., Johnson, Z.C., and Black, R.W., 2026, Simulated seasonal loads of total nitrogen and total phosphorus by major source from watersheds draining to Washington waters of the Salish Sea, 2005 through 2020: U.S. Geological Survey Scientific Investigations Report 2026–5001, 66 p., https://doi.org/10.3133/sir20265001. [Supersedes preprint https://doi.org/10.22541/essoar.173878059.92247480/v1.]","productDescription":"Report: x; 66 p.; Data Release","numberOfPages":"66","onlineOnly":"Y","ipdsId":"IP-171269","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":502711,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119356.htm","linkFileType":{"id":5,"text":"html"}},{"id":502222,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LY1PQF","text":"USGS data release","linkHelpText":"Model application and calibration load data for seasonally dynamic total nitrogen and total phosphorus SPARROW models developed for watersheds draining to Washington waters of the Salish Sea, 2005 through 2020"},{"id":502221,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5001/images"},{"id":502220,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5001/sir20265001.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2026-5001 XML"},{"id":502218,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5001/sir20265001.pdf","text":"Report","size":"45.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5001 PDF"},{"id":502217,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5001/coverthb.jpg"},{"id":502219,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265001/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026-5001 HTML"}],"country":"Canada, United States","state":"British Columbia, Washington","otherGeospatial":"Salish Sea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121,\n 49.5\n ],\n [\n -125,\n 49.5\n ],\n [\n -125,\n 46\n ],\n [\n -121,\n 46\n ],\n [\n -121,\n 49.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Oregon Water Science Center
U.S. Geological Survey
601 SW 2nd Avenue, Suite 1950
Portland, Oregon 97204
Previous efforts to characterize lahar threats posed to communities downstream of volcanoes have focused primarily on delineating hazard zones that lack information on lahar-arrival times and exposure estimates that implicitly treat threats to be the same regardless of distance from the volcano. Estimated lahar-arrival times, travel times for individuals to leave hazard zones, and possible evacuation delays related to event identification, warning dissemination, and evacuee behavior are important, but often overlooked, aspects of understanding the societal threats posed by lahars. These temporal considerations are important for unexpected lahars that could occur due to slope failure in the absence of precursory volcanic unrest or eruption. This case study examines the role of time in lahar evacuations by quantifying population exposure and evacuation potential for non-eruptive lahar hazards associated with Mount Rainier, Washington. Lahars could directly affect tens of thousands of residents and employees, thousands of students at primary and secondary schools, and hundreds of individuals at long-term residential care facilities. Geospatial path-distance modeling quantified evacuation potential for 736 scenarios that represent combinations of lahar sources, evacuation destinations, pedestrian travel speeds, and a range of departure-delay assumptions. Depending on location, some communities may have substantial loss of life in tens of minutes after lahar initiation, whereas other communities may be managing large-scale evacuations over several hours. Estimates of evacuation success based on a range of scenarios provide individuals in hazard zones and risk-reduction agencies with insights on how their actions may increase or decrease the number of people that survive future lahars.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ijdrr.2026.106132","usgsCitation":"Wood, N.J., and Peters, J., 2026, Influence of modeling assumptions on pedestrian evacuation success for non-eruptive lahar hazards at Mount Rainier, Washington: International Journal of Disaster Risk Reduction, v. 139, 106132, 16 p., https://doi.org/10.1016/j.ijdrr.2026.106132.","productDescription":"106132, 16 p.","ipdsId":"IP-186816","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":502990,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ijdrr.2026.106132","text":"Publisher Index Page"},{"id":502692,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Mount Rainier region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.5,\n 47.25\n ],\n [\n -122.5,\n 46.7\n ],\n [\n -121.75,\n 46.7\n ],\n [\n -121.75,\n 47.25\n ],\n [\n -122.5,\n 47.25\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"139","noUsgsAuthors":false,"publicationDate":"2026-04-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Wood, Nathan J. 0000-0002-6060-9729 nwood@usgs.gov","orcid":"https://orcid.org/0000-0002-6060-9729","contributorId":3347,"corporation":false,"usgs":true,"family":"Wood","given":"Nathan","email":"nwood@usgs.gov","middleInitial":"J.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":959203,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peters, Jeff 0000-0003-4312-0590 jpeters@usgs.gov","orcid":"https://orcid.org/0000-0003-4312-0590","contributorId":4711,"corporation":false,"usgs":true,"family":"Peters","given":"Jeff","email":"jpeters@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":959204,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70275346,"text":"70275346 - 2026 - Fifteen years of WRTDS for advancing water-quality science: A critical review of methodological developments and global applications","interactions":[],"lastModifiedDate":"2026-04-30T15:02:14.020957","indexId":"70275346","displayToPublicDate":"2026-04-07T09:58:35","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Fifteen years of WRTDS for advancing water-quality science: A critical review of methodological developments and global applications","docAbstract":"Contamination by nutrients, major ions, and metals poses a major threat to global water sustainability. Understanding how these pollutants vary across time and space requires long-term monitoring and robust statistical approaches. Traditional methods, however, often struggle to account for streamflow variability, seasonality, and nonlinear responses. Introduced in 2010, the Weighted Regressions on Time, Discharge, and Season (WRTDS) method offers a flexible, data-driven framework that generates both observed and flow-normalized estimates of concentration and load. Over the past 15 years, WRTDS has become a state-of-the-art tool for water-quality science and management, with applications spanning a wide range of hydrologic, climatic, and policy contexts─including major watersheds across North America, Europe, Asia, Australia, and the Arctic. In this review of WRTDS, we document the method’s major advancements, examine its expanding geographic and thematic applications, and summarize its relevance to water-quality management programs and policies worldwide. We also discuss its performance relative to other regression and machine-learning approaches. Finally, we identify key priorities for future development to support the continued evolution of WRTDS as a trusted and practical tool for scientists and managers working to protect and sustain water resources.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.5c12895","usgsCitation":"Zhang, Q., Hirsch, R.M., DeCicco, L.A., and Murphy, J.C., 2026, Fifteen years of WRTDS for advancing water-quality science: A critical review of methodological developments and global applications: Environmental Science and Technology, v. 60, no. 15, p. 11170-11182, https://doi.org/10.1021/acs.est.5c12895.","productDescription":"13 p.","startPage":"11170","endPage":"11182","ipdsId":"IP-182247","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":503788,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.5c12895","text":"Publisher Index Page"},{"id":503673,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"60","issue":"15","noUsgsAuthors":false,"publicationDate":"2026-04-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Zhang, Qian 0000-0003-0500-5655","orcid":"https://orcid.org/0000-0003-0500-5655","contributorId":174393,"corporation":false,"usgs":false,"family":"Zhang","given":"Qian","email":"","affiliations":[{"id":38802,"text":"University of Maryland Center for Environmental Studies","active":true,"usgs":false}],"preferred":false,"id":960653,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hirsch, Robert M. 0000-0002-4534-075X rhirsch@usgs.gov","orcid":"https://orcid.org/0000-0002-4534-075X","contributorId":2005,"corporation":false,"usgs":true,"family":"Hirsch","given":"Robert","email":"rhirsch@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":960654,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeCicco, Laura A. 0000-0002-3915-9487 ldecicco@usgs.gov","orcid":"https://orcid.org/0000-0002-3915-9487","contributorId":174716,"corporation":false,"usgs":true,"family":"DeCicco","given":"Laura","email":"ldecicco@usgs.gov","middleInitial":"A.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960655,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Murphy, Jennifer C. 0000-0002-0881-0919 jmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-0881-0919","contributorId":4281,"corporation":false,"usgs":true,"family":"Murphy","given":"Jennifer","email":"jmurphy@usgs.gov","middleInitial":"C.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960656,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70274720,"text":"70274720 - 2026 - Towards affordable wetland evapotranspiration monitoring using the Variance-Bowen Ratio method: Insights from three contrasting wetlands","interactions":[],"lastModifiedDate":"2026-04-09T13:30:55.21034","indexId":"70274720","displayToPublicDate":"2026-04-07T08:30:28","publicationYear":"2026","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":"Towards affordable wetland evapotranspiration monitoring using the Variance-Bowen Ratio method: Insights from three contrasting wetlands","docAbstract":"Accurate measurement of evapotranspiration (ET) is essential for sustainable water management. Standard methods such as eddy covariance (EC) are costly, while alternatives such as surface renewal are cheaper but require calibration and complex data processing. This study evaluates the utility of the Variance-Bowen Ratio (VBR) method for estimating ET across three California’s wetlands. Using data from 2023, half-hourly latent heat flux (λE) and daily/monthly ET from VBR were compared with EC at one non-tidal (site A) and two tidal (sites B and C) wetlands. λEVBR consistently underestimated λEEC, with root mean squared errors (RMSE) of 61.2 W m-2 at sites A, 106.1 W m-2 at site B, and 137.2 W m-2 at site C, largely due to storage fluxes across sites. Temporal integration improved VBR’s performance at tidal sites, where compensating water heat storage errors yielded low daily and monthly biases (site B: RMSE = 0.78 mm/d and 12 mm/month; r = 0.93; site C: RMSE = 0.90 mm/d and 13 mm/month; r = 0.93), with reduced major axis (RMA) regression slopes of 0.98 and ~0.91. In contrast, biomass heat storage at site A caused persistent biases (RMSEs = 0.97 mm/d and 23 mm/month; daily and monthly RMA slopes ~0.75; r = 0.85). These results highlight VBR’s limitations in environments with substantial storage fluxes. Despite this, VBR is cost-effective for estimating daily and monthly ET, with sensor costs at least tenfold lower than EC and simpler setup, making it suitable for ET monitoring in resource-limited and hard-to-access regions.
Glaciers lost 408 ± 132 Gt of mass during the hydrological year 2025, equivalent to 1.1 ± 0.4 mm sea-level rise. Since 1975, glacier mass loss has totalled 9,583 ± 1,211 Gt, equivalent to 26.4 ± 3.3 mm of sea-level rise, with six of the highest mass-loss years on record occurring in the past seven years.
","language":"English","publisher":"Springer Nature","doi":"10.1038/s43017-026-00777-z","usgsCitation":"Zemp, M., Welty, E., Nussbaumer, S.U., Bannwart, J., Gärtner-Roer, I., Wells, A., Ahlstrøm, A.P., Anderson, B., Andreassen, L.M., Azam, M.F., Barnett, J., Baroni, C., Barrand, N.E., Bauder, A., Bernard, E., Berthier, E., Bertolotti, G., Bolch, T., Bonnefoy-Demongeot, M., Braun, M.H., Burgess, D., Cappelletti, D., Carrivick, J.L., Carturan, L., Cat Berro, D., Ceballos, J.L., Cobos, G., Cruz, R., Cullen, N., Cáceres, B., Dahlkvist, J., Demberel, O., de Villiers, S., Dinale, R., Drozdov, E., Dussaillant, I., Dávila, L., Elagina, N., Elvehøy, H., Erofeev, A., Falaschi, D., Fischer, A., Fischer, M., Florentine, C., Fujita, K., Galos, S.P., Garcia, A., Gourmelen, N., Grosso, F., Gubanov, A., Gunnarsson, A., Guyez, A., Hartl, L., Hoelzle, M., Huenante, J., Hugonnet, R., Huss, M., Hynek, B., Imazu, T., Iturraspe, R., Jakob, L., Joshi, S., Karimi, N., Kirchner, N., Kjøllmoen, B., Kohler, J., Kutuzov, S., Lavrentiev, I., Lea, J.M., Lendvai, A., Li, H., Li, S., Li, Z., Linsbauer, A., Marinsek, S., Mattea, E., Mayer, C., McNeil, C., Mercalli, L., Messerli, A., Michael, C., Morra di Cella, U., Navarro, F., Navruzshoev, H., Neureiter, A., Nosenko, G., Pecci, M., Pelto, M., Popovnin, V., Prinz, R., Puigdomenech, C., Purdie, H., Pálsson, F., Rossotto, A., Ruiz, L., Sass, L., Schytt Mannerfelt, E., Scotti, R., Shangguan, D., Shepherd, B., Six, D., Smirnov, A., Sobota, I., Strudl, M., Sugiyama, S., Thibert, E., Thomson, L., Thorsteinsson, T., Tielidze, L., Tolle, F., Toropov, P., Tuccella, P., Umirzakov, G., Usubaliev, R., Vargo, L., Yang, W., and Zagel, B., 2026, Global glacier mass change in 2025: Nature Reviews Earth and Environment, v. 7, p. 213-215, https://doi.org/10.1038/s43017-026-00777-z.","productDescription":"3 p.","startPage":"213","endPage":"215","ipdsId":"IP-185510","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":502987,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.research.ed.ac.uk/en/publications/55d91323-64c4-429c-880c-8e6c8664fa39","text":"External Repository"},{"id":502369,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","noUsgsAuthors":false,"publicationDate":"2026-04-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Zemp, Michael","contributorId":342071,"corporation":false,"usgs":false,"family":"Zemp","given":"Michael","email":"","affiliations":[],"preferred":false,"id":958996,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welty, Ethan Z.","contributorId":268129,"corporation":false,"usgs":false,"family":"Welty","given":"Ethan Z.","affiliations":[{"id":27643,"text":"Department of Geography, University of Zurich, Switzerland","active":true,"usgs":false}],"preferred":false,"id":958997,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nussbaumer, Samuel U. 0000-0002-5314-5815","orcid":"https://orcid.org/0000-0002-5314-5815","contributorId":369440,"corporation":false,"usgs":false,"family":"Nussbaumer","given":"Samuel","middleInitial":"U.","affiliations":[{"id":37139,"text":"Department of Geography, University of Zurich","active":true,"usgs":false}],"preferred":false,"id":958998,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bannwart, Jacqueline 0000-0001-7136-0685","orcid":"https://orcid.org/0000-0001-7136-0685","contributorId":369520,"corporation":false,"usgs":false,"family":"Bannwart","given":"Jacqueline","affiliations":[{"id":37139,"text":"Department of Geography, University of Zurich","active":true,"usgs":false}],"preferred":false,"id":959174,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gärtner-Roer, Isabelle 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This study quantified PFAS and pesticides in whole blood from free-ranging black bears (Ursus americanus, n = 15) and grizzly bears (Ursus arctos horribilis, n = 9) in the Cabinet-Yaak Ecosystem of northwestern Montana. Using high-resolution mass spectrometry-based methods (GC-MS/MS and LC-MS/MS), 52 PFAS and 186 pesticides were analyzed. PFAS were detected in all bears, with total PFAS concentrations ranging from 79.5 to 317 pg/mL. PFAS profiles were dominated by long-chain perfluoroalkyl carboxylic acids, particularly PFOA, PFDA, and PFUnDA, with minimal contribution from short-chain compounds. Species was the strongest ecological predictor of PFAS concentrations, although variability across age, sex, and capture location were observed. Only two pesticides, piperonyl butoxide and permethrin, were detected at quantifiable concentrations (2070–12,600 pg/mL), and no correlations were observed between pesticide and PFAS concentrations, indicating independent exposure pathways. The predominance of long-chain PFAS suggests diffuse environmental sources and bioaccumulation within terrestrial food webs. Although measured concentrations were generally low relative to other wildlife toxicological studies, the persistence and protein-binding properties of long-chain PFAS warrant continued monitoring, particularly for long-lived omnivores. These results establish baseline contaminant concentrations for two apex omnivores in a remote ecosystem and highlight the utility of large mammals as integrative sentinels of environmental contaminant exposure for regional monitoring and wildlife conservation. Continued monitoring in the Cabinet-Yaak and across western North America will be critical for assessing temporal trends, identifying new contaminant sources, and evaluating ecological health in bear populations.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2026.128079","usgsCitation":"Balmer, B.C., Rodriguez, M.D., Teisberg, J.E., Hladik, M.L., Kasworm, W.F., Kornak, A., Radandt, T.G., Keele, L.M., and Pulster, E.L., 2026, Per- and polyfluoroalkyl substances and pesticides in black bears (Ursus americanus) and grizzly bears (Ursus arctos horribilis) from Montana's Cabinet-Yaak ecosystem: A baseline assessment of emerging and legacy contaminants: Environmental Pollution, v. 398, 128079, 13 p., https://doi.org/10.1016/j.envpol.2026.128079.","productDescription":"128079, 13 p.","ipdsId":"IP-185518","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":505671,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"northwestern Montana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.0509331847928,\n 49.01316734479266\n ],\n [\n -115.19481980021409,\n 49.01316734479266\n ],\n [\n -115.19481980021409,\n 48.08922794559274\n ],\n [\n -116.0509331847928,\n 48.08922794559274\n ],\n [\n -116.0509331847928,\n 49.01316734479266\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"398","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Balmer, Brian C.","contributorId":372505,"corporation":false,"usgs":false,"family":"Balmer","given":"Brian","middleInitial":"C.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":963156,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rodriguez, Marina D.","contributorId":372506,"corporation":false,"usgs":false,"family":"Rodriguez","given":"Marina","middleInitial":"D.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":963157,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Teisberg, Justin E.","contributorId":372507,"corporation":false,"usgs":false,"family":"Teisberg","given":"Justin","middleInitial":"E.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":963158,"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":963159,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kasworm, Wayne F.","contributorId":372511,"corporation":false,"usgs":false,"family":"Kasworm","given":"Wayne","middleInitial":"F.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":963160,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kornak, Amber","contributorId":372512,"corporation":false,"usgs":false,"family":"Kornak","given":"Amber","affiliations":[{"id":88328,"text":"US Fish and Wildlife Service; People and Carnivores","active":true,"usgs":false}],"preferred":false,"id":963161,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Radandt, Thomas G.","contributorId":372513,"corporation":false,"usgs":false,"family":"Radandt","given":"Thomas","middleInitial":"G.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":963162,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Keele, Landon M. 0000-0002-6376-314X","orcid":"https://orcid.org/0000-0002-6376-314X","contributorId":333926,"corporation":false,"usgs":true,"family":"Keele","given":"Landon","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":963163,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pulster, Erin L. 0000-0003-4574-8613","orcid":"https://orcid.org/0000-0003-4574-8613","contributorId":300266,"corporation":false,"usgs":true,"family":"Pulster","given":"Erin","email":"","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":963164,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70275306,"text":"70275306 - 2026 - When is a parasite a problem?","interactions":[],"lastModifiedDate":"2026-04-28T15:21:57.519301","indexId":"70275306","displayToPublicDate":"2026-04-06T10:16:32","publicationYear":"2026","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"When is a parasite a problem?","docAbstract":"A parasite’s perceived societal impact depends on the disease it causes and the perception of the affected host species. For instance, doctors and veterinarians have a mission to treat parasites that infect humans or that impact host species that have some utilitarian or aesthetic value for society. Marine scientists have different concerns than doctors. Although the number of parasites that marine scientists should be concerned about may vary, only 13% of parasites and 6% of host–parasite links might be considered “problematic” in a kelp forest food web. With regard to the many threats to marine ecosystems, these percentages suggest that most parasites and infectious diseases are inconsequential. A related issue is the common expectation that parasites and the impacts that they cause are increasing under stress as ocean environments across the globe degrade. Yet, reports of disease have not increased due to human impacts on the marine environment, where the factors that influence parasitism are more complex. Thus, the expectation that marine parasites create problems, and that the diseases they cause are getting worse, is more likely the exception than the rule.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The ecology and evolution of marine parasites and disease","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Oxford Academic","doi":"10.1093/9780197790847.003.0002","usgsCitation":"Lafferty, K.D., 2026, When is a parasite a problem?, chap. of The ecology and evolution of marine parasites and disease, p. 5-14, https://doi.org/10.1093/9780197790847.003.0002.","productDescription":"10 p.","startPage":"5","endPage":"14","ipdsId":"IP-174714","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":503592,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2026-04-06","publicationStatus":"PW","contributors":{"editors":[{"text":"Byers, James E.","contributorId":197155,"corporation":false,"usgs":false,"family":"Byers","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":960537,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Blakeslee, April M.","contributorId":70101,"corporation":false,"usgs":true,"family":"Blakeslee","given":"April","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":960538,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Wares, John P","contributorId":295374,"corporation":false,"usgs":false,"family":"Wares","given":"John","email":"","middleInitial":"P","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":960539,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":960523,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70275601,"text":"70275601 - 2026 - Growth, movement, and survival of precocial shorebird chicks are constrained by their environment.","interactions":[],"lastModifiedDate":"2026-05-07T15:59:21.661614","indexId":"70275601","displayToPublicDate":"2026-04-06T10:04:27","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":981,"text":"Behavioral Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Growth, movement, and survival of precocial shorebird chicks are constrained by their environment.","docAbstract":"Young animals are often less mobile than adults, while also having high energetic demands. They may therefore be more vulnerable to local-scale changes in environmental conditions. In particular, when 1 sex must grow more rapidly than the other to achieve a larger adult size, that sex may experience especially dramatic reductions in growth and survival in the face of suboptimal environmental conditions. In order to investigate the flexibility of individuals in response to local-scale environmental variation during development, we studied the sex-specific growth, movement, and survival of Hudsonian Godwit (Limosa haemastica) chicks—a sexually dimorphic, precocial shorebird that breeds in the sub-Arctic and exhibits a male-skewed adult sex ratio. We found that female chicks—which must grow to a larger adult size—reached their maximum growth rates at a later age, but had similar growth rates to males before that and survived equally well to 21 days. We also found that, irrespective of sex, chicks had reduced movement rates when they were young and/or temperatures were cold, and only weakly increased their movement rates when invertebrate abundances remained low across an entire week. Early in life, godwit chicks may therefore be constrained from increasing their foraging efforts by local environmental conditions, forcing females to sustain higher growth rates late in the season past the local resource peak. Such sex-specific vulnerabilities could lead to lower early-life survival and, in turn, skewed adult sex ratios, which have important implications for population dynamics and persistence.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/beheco/arag035","usgsCitation":"Huang, F., Tyson, C., Addis, B.R., Elowe, C., Puleo, L., Saint-Juste, S., Stager, M., Swift, R.J., Wilde, L., and Senner, N.R., 2026, Growth, movement, and survival of precocial shorebird chicks are constrained by their environment.: Behavioral Ecology, v. 37, no. 3, arag035, https://doi.org/10.1093/beheco/arag035.","productDescription":"arag035","ipdsId":"IP-178002","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":504384,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://research.wur.nl/en/publications/growth-movement-and-survival-of-precocial-shorebird-chicks-are-co","text":"External Repository"},{"id":504005,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-04-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Huang, Feipeng","contributorId":371089,"corporation":false,"usgs":false,"family":"Huang","given":"Feipeng","affiliations":[{"id":88085,"text":"Department of Environmental Conservation, University of Massachusetts Amherst, Amherst, Massachusetts, USA","active":true,"usgs":false}],"preferred":false,"id":960996,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tyson, Chris","contributorId":371090,"corporation":false,"usgs":false,"family":"Tyson","given":"Chris","affiliations":[{"id":88087,"text":"Behavioural Ecology Group, Wageningen University & Research, Wageningen, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":960997,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Addis, Brett R.","contributorId":371091,"corporation":false,"usgs":false,"family":"Addis","given":"Brett","middleInitial":"R.","affiliations":[{"id":88085,"text":"Department of Environmental Conservation, University of Massachusetts Amherst, Amherst, Massachusetts, USA","active":true,"usgs":false}],"preferred":false,"id":960998,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Elowe, Cory","contributorId":371092,"corporation":false,"usgs":false,"family":"Elowe","given":"Cory","affiliations":[{"id":88088,"text":"Department of Biology, University of Massachusetts Amherst, Amherst, Massachusetts, USA","active":true,"usgs":false}],"preferred":false,"id":960999,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Puleo, Lauren","contributorId":371093,"corporation":false,"usgs":false,"family":"Puleo","given":"Lauren","affiliations":[{"id":88085,"text":"Department of Environmental Conservation, University of Massachusetts Amherst, Amherst, Massachusetts, USA","active":true,"usgs":false}],"preferred":false,"id":961000,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Saint-Juste, Stephan","contributorId":371094,"corporation":false,"usgs":false,"family":"Saint-Juste","given":"Stephan","affiliations":[{"id":88088,"text":"Department of Biology, University of Massachusetts Amherst, Amherst, Massachusetts, USA","active":true,"usgs":false}],"preferred":false,"id":961001,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stager, Maria","contributorId":346302,"corporation":false,"usgs":false,"family":"Stager","given":"Maria","email":"","affiliations":[{"id":82825,"text":"U Mass Amherst","active":true,"usgs":false}],"preferred":false,"id":961002,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Swift, Rose J. 0000-0001-7044-6196","orcid":"https://orcid.org/0000-0001-7044-6196","contributorId":212082,"corporation":false,"usgs":true,"family":"Swift","given":"Rose","email":"","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":961003,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wilde, Luke","contributorId":338851,"corporation":false,"usgs":false,"family":"Wilde","given":"Luke","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":961004,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Senner, Nathan R.","contributorId":367297,"corporation":false,"usgs":false,"family":"Senner","given":"Nathan","middleInitial":"R.","affiliations":[{"id":34616,"text":"University of Massachusetts Amherst","active":true,"usgs":false}],"preferred":false,"id":961005,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70275600,"text":"70275600 - 2026 - First vertebrate assemblage from the middle member of the Fremouw Formation (Lower Triassic) of Antarctica","interactions":[],"lastModifiedDate":"2026-05-05T17:03:51.452418","indexId":"70275600","displayToPublicDate":"2026-04-06T09:56:53","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":814,"text":"Antarctic Science","onlineIssn":"1365-2079","printIssn":"0954-1020","active":true,"publicationSubtype":{"id":10}},"title":"First vertebrate assemblage from the middle member of the Fremouw Formation (Lower Triassic) of Antarctica","docAbstract":"The Fremouw Formation of the Central Transantarctic Mountains preserves the southernmost record of Early to Middle Triassic terrestrial ecosystems that developed in the aftermath of the end-Permian mass extinction. Although the well-studied vertebrate fossil assemblage in the lower member of the Fremouw Formation provides a detailed snapshot of subpolar ecosystems immediately following the end-Permian mass extinction, the nature of how long these earliest Triassic communities persisted at the southern extremes of Pangaea is virtually unknown. Importantly, the timing and extent of the major faunal turnover between the lower and upper members of the Fremouw Formation have been obscured by the paucity of fossil specimens historically recovered from the middle member. Here, we describe the first vertebrate assemblage from the middle member of the Fremouw Formation, including occurrences of procolophonids (including Procolophon trigoniceps) and archosauromorphs (including Prolacerta broomi), as well as infilled vertebrate burrow casts referrable to the ichnogenus Reniformichnus. We also summarize and expand on lithostratigraphic shifts between the lower, middle and upper members of the Fremouw Formation. Although the sample size of vertebrate body fossils is small compared to the lower and upper members of the Fremouw Formation, we discuss the evidence for a taphonomic shift between the lower and middle members of the Fremouw Formation that favours preservation of smaller-bodied taxa and individuals in the latter. Together, these preliminary data add crucial context to the persistence of subpolar vertebrate communities in the earliest Mesozoic.
","language":"English","publisher":"Cambridge University Press","doi":"10.1017/S0954102026100613","usgsCitation":"Woolley, C.H., McIntosh, J.A., Smith, R.M., and Sidor, C.A., 2026, First vertebrate assemblage from the middle member of the Fremouw Formation (Lower Triassic) of Antarctica: Antarctic Science, v. 38, no. 3, p. 278-297, https://doi.org/10.1017/S0954102026100613.","productDescription":"20 p.","startPage":"278","endPage":"297","ipdsId":"IP-183730","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":504203,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/s0954102026100613","text":"Publisher Index Page"},{"id":504004,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Antarctica","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 285.7994002957522,\n -73.57921225313612\n ],\n [\n 288.6176380577232,\n -73.57921225313612\n ],\n [\n 288.6176380577232,\n -71.43842008544419\n ],\n [\n 285.7994002957522,\n -71.43842008544419\n ],\n [\n 285.7994002957522,\n -73.57921225313612\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"38","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-04-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Woolley, C. Henrik 0000-0002-4073-0089","orcid":"https://orcid.org/0000-0002-4073-0089","contributorId":371086,"corporation":false,"usgs":false,"family":"Woolley","given":"C.","middleInitial":"Henrik","affiliations":[{"id":88083,"text":"University of Washington, Burke Museum","active":true,"usgs":false}],"preferred":false,"id":960992,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McIntosh, Julia A. 0000-0003-2819-8664","orcid":"https://orcid.org/0000-0003-2819-8664","contributorId":331662,"corporation":false,"usgs":true,"family":"McIntosh","given":"Julia","email":"","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":960993,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Roger M.H. 0000-0001-6806-1983","orcid":"https://orcid.org/0000-0001-6806-1983","contributorId":371087,"corporation":false,"usgs":false,"family":"Smith","given":"Roger","middleInitial":"M.H.","affiliations":[{"id":88084,"text":"University of Witwatersrand, Iziko South African Museum","active":true,"usgs":false}],"preferred":false,"id":960994,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sidor, Christian A. 0000-0003-0742-4829","orcid":"https://orcid.org/0000-0003-0742-4829","contributorId":371088,"corporation":false,"usgs":false,"family":"Sidor","given":"Christian","middleInitial":"A.","affiliations":[{"id":88083,"text":"University of Washington, Burke Museum","active":true,"usgs":false}],"preferred":false,"id":960995,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70276700,"text":"70276700 - 2026 - Permafrost thaw controls iron flux from wetlands and sulfide-bearing rocks to Arctic rivers and streams","interactions":[],"lastModifiedDate":"2026-06-16T14:15:57.338281","indexId":"70276700","displayToPublicDate":"2026-04-06T09:07:26","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8956,"text":"Communications Earth & Environment","active":true,"publicationSubtype":{"id":10}},"title":"Permafrost thaw controls iron flux from wetlands and sulfide-bearing rocks to Arctic rivers and streams","docAbstract":"Recent warming has caused widespread iron mobilization into Arctic waterbodies that degrades ecosystems and threatens natural resources. Yet, understanding where and when iron flux occurs remains limited. Here, we investigate iron loading across regional to local scales in Arctic Alaska using climate, water chemistry, and borehole data together with mapped geology and permafrost presence. We show that both anoxic microbial iron reduction and acid rock drainage from iron-sulfide oxidation mobilize iron. Iron influx is strongly associated with lowland wetlands, sulfide-rich upland bedrock, and near-surface permafrost. Acid rock drainage chemistry correlates very strongly with the depth of seasonal thaw above permafrost from the previous year, indicating a one-year lag. These findings clarify the spatial and temporal dynamics of Arctic river rusting, provide a mechanistic understanding of the phenomenon, and may allow anticipation of its occurrence and assessment of its implications for aquatic ecosystem health and subsistence resources under ongoing climate change.
","language":"English","publisher":"Nature","doi":"10.1038/s43247-026-03450-x","usgsCitation":"Dial, R.J., Hanna, C., Sullivan, P.F., Cooper, D., Tino, C., Gregory, D.D., Diamond, C., Rieser, M., Nicolsky, D., Hill, K., Iwahana, G., Koch, J.C., Carey, M.P., Miller, L., and Lyons, T., 2026, Permafrost thaw controls iron flux from wetlands and sulfide-bearing rocks to Arctic rivers and streams: Communications Earth & Environment, v. 7, 465, 19 P., https://doi.org/10.1038/s43247-026-03450-x.","productDescription":"465, 19 P.","ipdsId":"IP-173954","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":505606,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n 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Hawaiʻi","interactions":[],"lastModifiedDate":"2026-05-12T13:36:15.447942","indexId":"70275697","displayToPublicDate":"2026-04-06T08:30:23","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Between quiescence and crisis: Hawaiian Volcano Observatory communication and response strategies on the Island of Hawaiʻi","docAbstract":"Over the past two centuries, eruptions of Mauna Loa volcano have damaged infrastructure and destroyed several communities on the Island of Hawaiʻi. Future eruptions will impact existing population centers and critical infrastructure, which continue to grow each year. The U.S. Geological Survey Hawaiian Volcano Observatory has developed and practiced methods to promote eruption preparedness in communities on the Island of Hawaiʻi, particularly over the past three decades during which Mauna Loa was quiescent while Kīlauea volcano erupted frequently. Here, we summarize the observatory’s efforts to increase awareness of hazards associated with Hawaiian volcanoes and describe how lessons learned during responses to past volcanic crises on Kīlauea were applied prior to and during the 2022 Mauna Loa eruption, highlighting new response communication challenges encountered during the event. Additionally, we identify potential avenues for future communication/outreach on the Island of Hawaiʻi, such as expanding efforts in communities located in high-hazard areas and striving to be more culturally and linguistically inclusive in our communication techniques.
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