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2025 - Evaluating elk distribution and conflict under proposed management alternatives at the National Elk Refuge in Jackson, Wyoming","indexId":"sir20255076C","publicationYear":"2025","noYear":false,"chapter":"C","displayTitle":"Evaluating Elk Distribution and Conflict Under Proposed Management Alternatives at the National Elk Refuge in Jackson, Wyoming","title":"Evaluating elk distribution and conflict under proposed management alternatives at the National Elk Refuge in Jackson, Wyoming"},"predicate":"IS_PART_OF","object":{"id":70270249,"text":"sir20255076 - 2025 - Decision analysis in support of the National Elk Refuge bison and elk management plan","indexId":"sir20255076","publicationYear":"2025","noYear":false,"title":"Decision analysis in support of the National Elk Refuge bison and elk management plan"},"id":7}],"lastModifiedDate":"2026-02-03T15:05:37.474061","indexId":"sir20255076","displayToPublicDate":"2025-08-14T15:50:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5076","displayTitle":"Decision Analysis in Support of the National Elk Refuge Bison and Elk Management Plan","title":"Decision analysis in support of the National Elk Refuge bison and elk management plan","docAbstract":"<h1>Preface&nbsp;</h1><p>This report was developed to evaluate the performance of a set of proposed alternatives for <i>Cervus elaphus canadensis</i> (elk) and <i>Bison bison</i> (bison) management at the National Elk Refuge (NER) in Wyoming, U.S.A., and to inform a National Environmental Policy Act Environmental Impact Statement focused on developing the next “Bison and Elk Management Plan” (BEMP). The U.S. Geological Survey facilitated a structured decision-making process for the U.S. Fish and Wildlife Service to develop the alternatives and the criteria (performance metrics) for evaluating the alternatives. Chapter A provides scoping details of the report, a summary of the 19 metrics that are used to evaluate the performance of each of 6 alternatives, and methodological details of 2 performance metrics that were not covered in other technical chapters. Chapter B analyzes elk population and chronic wasting disease dynamics under the five initial alternatives. Chapter C evaluates elk space-use based on data collected from global positioning system collars on elk and expert elicitation for scenarios with limited data. Chapter D evaluates bison population dynamics, conflict, and harvest patterns under the five initial alternatives. Chapter E assesses social and economic consequences. Chapter F is newly added to this superseding report and details the analysis and results of a new alternative that was developed after discussion among the lead and cooperating agencies working on the BEMP. The full set of six alternatives are anticipated to have varying affects on bison and elk population abundance and private land use, wildlife-related recreation and tourism, and hunters and outfitters in the region. Each chapter was developed under advisement of a technical team, made up science experts from U.S. Fish and Wildlife Service, National Park Service, U.S. Forest Service, and Wyoming Game and Fish Department.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255076","collaboration":"Prepared in cooperation with the U.S. Department of Agriculture, National Park Service, U.S. Fish and Wildlife Service, and Wyoming Game and Fish Department","programNote":"Ecosystems Mission Area—Biological Threats & Invasive Species Research Program, Environmental Health Program, and the Species Management Research Program","usgsCitation":"Cook, J.D., and Cross, P.C., eds., 2025, Decision analysis in support of the National Elk Refuge bison and elk management plan: U.S. Geological Survey Scientific Investigations Report 2025–5076, 6 chap. (A–F), variously paged, https://doi.org/10.3133/sir20255076. 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,{"id":70272010,"text":"70272010 - 2025 - Alternating movement strategies of a tropical raptor","interactions":[],"lastModifiedDate":"2025-09-30T15:10:07.38948","indexId":"70272010","displayToPublicDate":"2025-08-13T08:05:39","publicationYear":"2025","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":"Alternating movement strategies of a tropical raptor","docAbstract":"<p><span>The majority of raptor species reside in the tropics, yet very little is known about their movement ecology. However, quantifying movement behavior can provide otherwise elusive information on resource needs, habitat selection, and ecological constraints, which is important for understanding ecological patterns and the management of species of conservation concern. On the Island of Hawai‘i, Hawai‘i, USA, the endemic ‘Io, or Hawaiian Hawk (</span><i>Buteo solitarius</i><span>), is a species of conservation concern that little is known of their movement ecology, yet they are dependent on a fragmented and rapidly changing environment. We tracked 15 individuals for up to 18&nbsp;months across a diverse landscape on the eastern side of the island. We found that all ‘Io occupied a relatively small geographic area, their place of residency, where they spent all or most of their time. However, 10 individuals also exhibited an alternative movement pattern, where individuals repeatedly commuted back and forth between their place of residency to another, geographically disjunct location. These commuter periods, which could last from 24–180&nbsp;days, were characterized by frequent (9–259) movements, with individual trips lasting 4–77&nbsp;h away from their place of residency and 12–47&nbsp;h in between commuter trips. In most cases, individuals went to the same non-contiguous commuting destination, even across multiple commuting sessions, indicating high fidelity to commuting locations. The ‘Io is a forest adapted Buteo but occurs across a diverse landscape from forest to agriculture lands to urban areas. Habitat selection analysis indicated high individual variation among different birds, but generally a preference for forest patches at localized levels. The discovery of the alternative commuting strategy for many ‘Io represents a cryptic movement pattern in the species, demonstrating the power of small, long-lived Global Position System tracking devices to track movement and providing important insights into the ecology of a tropical island raptor.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1038/s41598-025-11248-8","usgsCitation":"Paxton, E.H., and Paxton, K.L., 2025, Alternating movement strategies of a tropical raptor: Scientific Reports, v. 15, 29719, 14 p., https://doi.org/10.1038/s41598-025-11248-8.","productDescription":"29719, 14 p.","ipdsId":"IP-164111","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":496327,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-025-11248-8","text":"Publisher Index Page"},{"id":496263,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -155.51701720097816,\n              19.9600766888112\n            ],\n            [\n              -155.51701720097816,\n              19.383507623342382\n            ],\n            [\n              -154.77042174449804,\n              19.383507623342382\n            ],\n            [\n              -154.77042174449804,\n              19.9600766888112\n            ],\n            [\n              -155.51701720097816,\n              19.9600766888112\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","noUsgsAuthors":false,"publicationDate":"2025-08-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Paxton, Eben H. 0000-0001-5578-7689","orcid":"https://orcid.org/0000-0001-5578-7689","contributorId":19640,"corporation":false,"usgs":true,"family":"Paxton","given":"Eben","email":"","middleInitial":"H.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":949716,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paxton, Kristina L. 0000-0003-2321-5090","orcid":"https://orcid.org/0000-0003-2321-5090","contributorId":41917,"corporation":false,"usgs":false,"family":"Paxton","given":"Kristina","email":"","middleInitial":"L.","affiliations":[{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false},{"id":12981,"text":"Department of Biological Sciences, University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":949717,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70269818,"text":"ofr20251044 - 2025 - Insights and strategic opportunities from the USGS 2024 Per- and Polyfluoroalkyl Substances (PFAS) Interagency Workshop","interactions":[{"subject":{"id":70269818,"text":"ofr20251044 - 2025 - Insights and strategic opportunities from the USGS 2024 Per- and Polyfluoroalkyl Substances (PFAS) Interagency Workshop","indexId":"ofr20251044","publicationYear":"2025","noYear":false,"displayTitle":"Insights and Strategic Opportunities from the USGS 2024 Per- and Polyfluoroalkyl Substances (PFAS) Interagency Workshop","title":"Insights and strategic opportunities from the USGS 2024 Per- and Polyfluoroalkyl Substances (PFAS) Interagency Workshop"},"predicate":"IS_ADDENDUM_TO","object":{"id":70226853,"text":"cir1490 - 2021 - Integrated science for the study of perfluoroalkyl and polyfluoroalkyl substances (PFAS) in the environment—A strategic science vision for the U.S. Geological Survey","indexId":"cir1490","publicationYear":"2021","noYear":false,"title":"Integrated science for the study of perfluoroalkyl and polyfluoroalkyl substances (PFAS) in the environment—A strategic science vision for the U.S. Geological Survey"},"id":1}],"lastModifiedDate":"2026-02-03T15:00:44.018949","indexId":"ofr20251044","displayToPublicDate":"2025-08-11T13:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-1044","displayTitle":"Insights and Strategic Opportunities from the USGS 2024 Per- and Polyfluoroalkyl Substances (PFAS) Interagency Workshop","title":"Insights and strategic opportunities from the USGS 2024 Per- and Polyfluoroalkyl Substances (PFAS) Interagency Workshop","docAbstract":"<h1>Introduction&nbsp;</h1><p>In 2021, the U.S. Geological Survey (USGS) published Circular 1490 titled, “Integrated Science for the Study of Perfluoroalkyl and Polyfluoroalkyl Substances (PFAS) in the Environment: A Strategic Science Vision for the U.S. Geological Survey” (Tokranov and others, 2021). Circular 1490 was created to be a resource for USGS scientists prioritizing and planning research related to per- and polyfluoroalkyl substances (PFAS) and to be a guide for developing partnerships with other scientists, State and Federal agencies, and stakeholders engaged in PFAS research and management and mitigation of the environmental and human-health effects of PFAS. This USGS PFAS Strategic Science Vision document was intended to be the foundation for a “living strategic vision,” periodically providing updates on the state of USGS PFAS research, emerging PFAS data gaps and needs, and progress on interagency and stakeholder PFAS partnerships and priorities. To meet this objective, the USGS planned to host an Interagency and Stakeholder PFAS Workshop every 2–3 years.</p><p>During September 10–12, 2024, the USGS hosted the first Interagency and Stakeholder PFAS Workshop in Reston, Virginia. The Workshop brought together experts from other Federal agencies (U.S. Environmental Protection Agency, National Institute of Environmental Health Sciences, Food and Drug Administration, Department of Defense [Air Force, Army]), State agencies (Washington Fish and Wildlife, Virginia Department of Transportation), and academia (Harvard University, University of Maryland) to address key challenges relating to the measurement and modeling of PFAS and the implications for environmental health. Participants engaged in in-depth discussions centered around six pivotal topics related to PFAS: (1) sampling protocols, methods and interpretation; (2) environmental sources, source apportionment, and occurrence; (3) environmental fate and transport; (4) human and wildlife exposure routes and risk; (5) bioconcentration, bioaccumulation, and biomagnification; and (6) ecotoxicology and effects. Each topic had three breakout sessions.</p><p>A recurrent theme of workshop discussions was how data on a nationwide scale for PFAS occurrence in various environmental matrices, including air, water, food crops, biota, soil, and streambed sediment could help to advance scientific understanding. Participants noted significant geospatial data gaps, particularly in the midwestern and southern United States and the Pacific Northwest. PFAS data collection tends to be more robust along the eastern seaboard and in California.</p><p>Participants stressed how enhancing the integration of large and small datasets across various agencies could help to support national scale understanding of PFAS. To address these gaps, attendees suggested leveraging datasets from Federal entities like the USGS and the U.S. Department of Defense, State agencies, and municipal utility services to develop predictive contaminant detection and transport models. Improved coordination between water quality programs and USGS research could help to facilitate access to valuable data, leading to comprehensive databases that inform PFAS point (wastewater treatment plants and landfills) and nonpoint (runoff from land, atmospheric deposition, food packaging) sources, environmental transport mechanisms, environmental detection and concentrations, potential exposure routes, and health effects on different biota, including humans. A specific request was made to develop a map demarking the depth of modern (1953 or later) groundwater, which is susceptible to surface-derived anthropogenic (that is, human-made) contamination, based on tritium-age dating. Emphasis was placed on incorporation of hydrology, groundwater flow paths, groundwater–surface water interactions, and landscape factors in predictive statistical models as a step to improve contaminant source identification and tracking.</p><p>Molecular fingerprinting approaches garnered attention as techniques to link specific PFAS mixtures detected in a sample to environmental sources and levels in biota (Dávila-Santiago and others, 2022). Integrating data from abiotic (that is, water, soil, and air) and biotic (that is, living organisms) systems identified as a research opportunity. For example, understanding the composition of soils and sediments, which include a mixture of mineral, plant, and animal components, could advance understanding of exposure pathways.</p><p>The discussions highlighted opportunities to explore and understand the potential redistribution and biotic exposures of PFAS from biosolid and wastewater treatment plant effluent land application practices, in addition to atmospheric releases and discharges from landfill and wastewater treatment plants. Participants identified research gaps surrounding how these sources may contribute to contamination and may affect surrounding ecosystems, including a better definition of anthropogenic background concentrations.</p><p>Moving forward, the collection of co-occurrence data was noted as a means to improve understanding of complex mixtures and to leverage companion modeling efforts focused on areas with high and low contamination levels to identify areas of concern and unaffected resources. Participants emphasized how centralized USGS databases and the establishment of sample-metadata archives can help to ensure that samples are preserved and accessible for future research.</p><p>In conclusion, the workshop participants identified opportunities to bridge data gaps and improve measurement techniques, modeling frameworks, databases, and communication, to enhance the understanding of PFAS and their effects on environmental and human health. Upon completion of the workshop, participants indicated an interest in developing strategic data collection, modeling, and analytical approaches to address these challenges.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251044","programNote":"Environmental Health Program","usgsCitation":"Iwanowicz, D.D., Beisner, K.R., Bradley, P.M., Bright, P.R., Brown, J.B., Churchill, C.J., Gordon, S.E., Karouna, N.K., Kolpin, D.W., Lambert, R.B., Pulster, E.L., Shively, R.S., Smalling, K., Steevens, J.A., and Tokranov, A.K., 2025, Insights and strategic opportunities from the USGS 2024 Per- and Polyfluoroalkyl Substances (PFAS) Interagency Workshop—Addendum I of Circular 1490: U.S. Geological Survey Open-File Report 2025–1044, 10 p., https://doi.org/10.3133/ofr20251044.","productDescription":"iii, 10 p.","numberOfPages":"10","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-177608","costCenters":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"links":[{"id":493438,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1044/coverthb.jpg"},{"id":493439,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1044/ofr20251044.pdf","text":"Report","size":"2.64 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2025-1044 PDF"},{"id":493440,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251044/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2025-1044 HTML"},{"id":493442,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1044/images/"},{"id":493441,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1044/ofr20251044.XML","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2025-1044 XML"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/mission-areas/ecosystems\" data-mce-href=\"https://www.usgs.gov/mission-areas/ecosystems\">Ecosystems Mission Area</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>Reston, Virginia 20192</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Introduction</li><li>USGS Interagency and Stakeholder PFAS Workshop (2024) Discussion Topics and Recommendations</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2025-08-11","isAddendumTo":{"id":70226853,"text":"cir1490 - 2021 - Integrated science for the study of perfluoroalkyl and polyfluoroalkyl substances (PFAS) in the environment—A strategic science vision for the U.S. Geological Survey","indexId":"cir1490","publicationYear":"2021","noYear":false,"title":"Integrated science for the study of perfluoroalkyl and polyfluoroalkyl substances (PFAS) in the environment—A strategic science vision for the U.S. Geological Survey"},"noUsgsAuthors":false,"publicationDate":"2025-08-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Iwanowicz, Deborah D. 0000-0002-9613-8594 diwanowicz@usgs.gov","orcid":"https://orcid.org/0000-0002-9613-8594","contributorId":287584,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Deborah","email":"diwanowicz@usgs.gov","middleInitial":"D.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":944697,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beisner, Kimberly R. 0000-0002-2077-6899 kbeisner@usgs.gov","orcid":"https://orcid.org/0000-0002-2077-6899","contributorId":2733,"corporation":false,"usgs":true,"family":"Beisner","given":"Kimberly","email":"kbeisner@usgs.gov","middleInitial":"R.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true},{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":944698,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradley, Paul M. 0000-0001-7522-8606 pbradley@usgs.gov","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":204639,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","email":"pbradley@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":944699,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bright, Patricia R. 0000-0002-9067-453X pbright@usgs.gov","orcid":"https://orcid.org/0000-0002-9067-453X","contributorId":3968,"corporation":false,"usgs":true,"family":"Bright","given":"Patricia","email":"pbright@usgs.gov","middleInitial":"R.","affiliations":[{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true}],"preferred":true,"id":944700,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brown, Juliane B. 0000-0001-7455-7627","orcid":"https://orcid.org/0000-0001-7455-7627","contributorId":205654,"corporation":false,"usgs":false,"family":"Brown","given":"Juliane","email":"","middleInitial":"B.","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":944701,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Churchill, Christopher J. 0000-0002-3227-3551 cchurchi@usgs.gov","orcid":"https://orcid.org/0000-0002-3227-3551","contributorId":4099,"corporation":false,"usgs":true,"family":"Churchill","given":"Christopher","email":"cchurchi@usgs.gov","middleInitial":"J.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":944702,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gordon, Stephanie E. 0000-0002-6292-2612 sgordon@usgs.gov","orcid":"https://orcid.org/0000-0002-6292-2612","contributorId":200931,"corporation":false,"usgs":true,"family":"Gordon","given":"Stephanie","email":"sgordon@usgs.gov","middleInitial":"E.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":944703,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Karouna-Renier, Natalie 0000-0001-7127-033X nkarouna@usgs.gov","orcid":"https://orcid.org/0000-0001-7127-033X","contributorId":200983,"corporation":false,"usgs":true,"family":"Karouna-Renier","given":"Natalie","email":"nkarouna@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":944704,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kolpin, Dana W. 0000-0002-3529-6505 dwkolpin@usgs.gov","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":1239,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","email":"dwkolpin@usgs.gov","middleInitial":"W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":944705,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lambert, Rebecca B. 0000-0002-0611-1591 blambert@usgs.gov","orcid":"https://orcid.org/0000-0002-0611-1591","contributorId":1135,"corporation":false,"usgs":true,"family":"Lambert","given":"Rebecca","email":"blambert@usgs.gov","middleInitial":"B.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":944706,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"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":944707,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Shively, Rip S. rsshively@usgs.gov","contributorId":233,"corporation":false,"usgs":true,"family":"Shively","given":"Rip","email":"rsshively@usgs.gov","middleInitial":"S.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":944708,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Smalling, Kelly 0000-0002-1214-4920 ksmall@usgs.gov","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":215924,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly","email":"ksmall@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":944709,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Steevens, Jeffery A. 0000-0003-3946-1229","orcid":"https://orcid.org/0000-0003-3946-1229","contributorId":65415,"corporation":false,"usgs":true,"family":"Steevens","given":"Jeffery A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":944710,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Tokranov, Andrea K. 0000-0003-4811-8641","orcid":"https://orcid.org/0000-0003-4811-8641","contributorId":255483,"corporation":false,"usgs":true,"family":"Tokranov","given":"Andrea","email":"","middleInitial":"K.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":944711,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70270202,"text":"70270202 - 2025 - Remote sensing of chlorophyll a and temperature to support algal bloom monitoring in Blue Mesa Reservoir, Colorado","interactions":[],"lastModifiedDate":"2025-08-13T13:31:47.444734","indexId":"70270202","displayToPublicDate":"2025-08-11T08:26:11","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Remote sensing of chlorophyll <i>a</i> and temperature to support algal bloom monitoring in Blue Mesa Reservoir, Colorado","title":"Remote sensing of chlorophyll a and temperature to support algal bloom monitoring in Blue Mesa Reservoir, Colorado","docAbstract":"<p><span>We present methods to reconstruct historical chlorophyll&nbsp;</span><i>a</i><span>&nbsp;and surface water temperatures from satellite-based remote sensing products for Blue Mesa Reservoir, Colorado, to support algal bloom monitoring. A machine learning model was trained to construct chlorophyll&nbsp;</span><i>a</i><span>&nbsp;concentrations from Sentinel-2 satellite imagery and in&nbsp;situ measurements of chlorophyll&nbsp;</span><i>a</i><span>&nbsp;concentrations (out of bag RMSE = 1.9 μg/L,&nbsp;</span><i>R</i><sup>2</sup><span> = 0.63) and reconstruct summertime chlorophyll&nbsp;</span><i>a</i><span>&nbsp;concentrations over the entire reservoir from 2016 through 2023. Concurrently, we developed an approach to retrieve remotely sensed water temperatures from the Landsat collection 2 provisional surface temperature product (MAE = 0.6°C) and reconstructed summertime surface water temperature records from 2000 through 2023. Finally, we demonstrate how the reconstructed chlorophyll&nbsp;</span><i>a</i><span>&nbsp;and temperature records can yield insight on reservoir dynamics. The chlorophyll&nbsp;</span><i>a</i><span>&nbsp;records indicate that algal blooms have a consistent spatial pattern across multiple years, initiating in the eastern end of the reservoir and spreading to the west over time. Water temperatures increased at a linearized rate of 0.3°C per decade from 2000 through 2023 and were inversely proportional to reservoir water surface elevation. Finally, mean summer remotely sensed chlorophyll&nbsp;</span><i>a</i><span>&nbsp;concentration had a moderately positive correlation with mean summer remotely sensed water temperature.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.70038","usgsCitation":"King, T.V., Bean, R., Walton-Day, K., Mast, M.A., Gohring, E.J., Gidley, R.G., Day, N.K., and Gibney, N., 2025, Remote sensing of chlorophyll a and temperature to support algal bloom monitoring in Blue Mesa Reservoir, Colorado: Journal of the American Water Resources Association, v. 61, no. 4, e70038, 19 p., https://doi.org/10.1111/1752-1688.70038.","productDescription":"e70038, 19 p.","ipdsId":"IP-157284","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":494445,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1752-1688.70038","text":"Publisher Index Page"},{"id":494016,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","county":"Gunnison County","otherGeospatial":"Blue Mesa Reservoir","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -107.35295276247045,\n              38.535074315629544\n            ],\n            [\n              -107.35295276247045,\n              38.430806876675575\n            ],\n            [\n              -107.03469816287091,\n              38.430806876675575\n            ],\n            [\n              -107.03469816287091,\n              38.535074315629544\n            ],\n            [\n              -107.35295276247045,\n              38.535074315629544\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"61","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-08-11","publicationStatus":"PW","contributors":{"authors":[{"text":"King, Tyler V. 0000-0002-5785-3077","orcid":"https://orcid.org/0000-0002-5785-3077","contributorId":292424,"corporation":false,"usgs":true,"family":"King","given":"Tyler","middleInitial":"V.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":945713,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bean, Robert Allen 0000-0001-5940-9757","orcid":"https://orcid.org/0000-0001-5940-9757","contributorId":344328,"corporation":false,"usgs":true,"family":"Bean","given":"Robert Allen","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":945714,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walton-Day, Katherine 0000-0002-9146-6193","orcid":"https://orcid.org/0000-0002-9146-6193","contributorId":336569,"corporation":false,"usgs":true,"family":"Walton-Day","given":"Katherine","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":945715,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mast, M. Alisa 0000-0001-6253-8162","orcid":"https://orcid.org/0000-0001-6253-8162","contributorId":211054,"corporation":false,"usgs":true,"family":"Mast","given":"M.","email":"","middleInitial":"Alisa","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":945716,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gohring, Evan J. 0000-0002-2229-9512","orcid":"https://orcid.org/0000-0002-2229-9512","contributorId":315496,"corporation":false,"usgs":true,"family":"Gohring","given":"Evan","middleInitial":"J.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":945717,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gidley, Rachel G. 0000-0002-9840-8252","orcid":"https://orcid.org/0000-0002-9840-8252","contributorId":259315,"corporation":false,"usgs":true,"family":"Gidley","given":"Rachel","email":"","middleInitial":"G.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":945718,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Day, Natalie K. 0000-0002-8768-5705","orcid":"https://orcid.org/0000-0002-8768-5705","contributorId":207302,"corporation":false,"usgs":true,"family":"Day","given":"Natalie","middleInitial":"K.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":945719,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gibney, Nicole D.","contributorId":352239,"corporation":false,"usgs":false,"family":"Gibney","given":"Nicole D.","affiliations":[{"id":84139,"text":"National Park Service, Regions 6, 7, and 8- Intermountain, Resource Stewardship and Science, One Denver Federal Center, Building 50, Denver, CO 80225","active":true,"usgs":false}],"preferred":false,"id":945720,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70273452,"text":"70273452 - 2025 - Refining the earthquake history of south-central Alaska through lake records","interactions":[],"lastModifiedDate":"2026-01-14T14:54:33.04117","indexId":"70273452","displayToPublicDate":"2025-08-11T07:47:52","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":14252,"text":"Earth Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Refining the earthquake history of south-central Alaska through lake records","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>The Alaska–Aleutian subduction zone (AASZ) is one of the world's most seismically active plate boundaries and the source of the 1964 M</span><sub><i>w</i></sub><span>&nbsp;9.2 Great Alaska earthquake–the second largest instrumentally recorded earthquake in the world. Understanding the nature and frequency of such earthquakes is necessary for seismic and tsunami hazard assessment, but instrumental and historical records that span less than 150&nbsp;years are too short to allow a statistically reliable analysis of earthquake recurrence times. This calls for studies of evidence of past earthquakes, extending the earthquake catalog further back in time. Subduction-zone paleoseismology in south-central Alaska is predominantly based on coastal evidence of land-level changes and tsunamis generated by megathrust earthquakes and preserved in the geological record. A complementary approach is lacustrine paleoseismology, which is still a relatively young discipline in Alaska. However, globally, lake basins are well-established high-resolution and continuous recorders of paleoseismic activity along subduction zones, relying on the identification of underwater landslide deposits and turbidites generated by seismic shaking. As a result, lake basins not only register ground shaking from megathrust earthquakes, but also from intraslab and crustal earthquakes, which are typically not accompanied by significant land-level changes. In this review paper, we combine coastal and lacustrine paleoseismology approaches to refine the south-central Alaskan earthquake history by comparing the paleoseismic records from two lakes (i.e., Eklutna Lake, located in the Chugach Mountain Range, and Skilak Lake, situated on the Kenai Peninsula) with the coastal and crustal earthquake catalog in Alaska. The resulting age ranges of all known megathrust earthquakes involving the Alaskan megathrust between the Kodiak and Prince William Sound (PWS) sections are more precise and accurate for the last 1.3 kyrs BP than the previously published age ranges from coastal records. As a result, this study supports the following key conclusions: (1) The 1964 CE earthquake was an exceptionally strong and unique event in the last 2000&nbsp;years, rupturing the PWS, Kenai, Barren Islands, and Kodiak sections simultaneously. (2) The high-resolution and seasonal markings of the varved lake records now disentangle for the first time closely timed earthquakes, which was not possible based on the coastal evidence alone. (3) No persistent megathrust rupture boundaries exist. So, the possibility of a full rupture of the entire eastern AASZ, from PWS to Semidi cannot be excluded. (4) The rupture pattern in the eastern AASZ reveals superimposed cycles of multi-asperity ruptures (1964 earthquake) and clustered complementary partial ruptures, or rupture cascades. (5) The PWS section hosts the largest asperity in the eastern AASZ. (6) The shaking record of megathrust earthquakes indicates a time-dependent (quasiperiodic) behavior for the study area, but the observation of complementary clusters means that the hazards will not drop to zero but instead may even increase for a neighboring section. (7) The time-independent behavior of intraplate earthquakes implies that the intraslab hazard did not decrease following the 2016 and 2018 earthquakes. This study utilizes an integrated approach for subduction zone paleoseismology as a solution for unraveling recurrence and rupture patterns in Alaska, which can be applied worldwide.</span></span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.earscirev.2025.105249","usgsCitation":"Praet, N., Van Daele, M., Wils, K., Haeussler, P., Witter, R.C., McKay, N.P., Jensen, B.J., Moernaut, J., and De Batist, M., 2025, Refining the earthquake history of south-central Alaska through lake records: Earth Science Reviews, v. 271, 105249, 47 p., https://doi.org/10.1016/j.earscirev.2025.105249.","productDescription":"105249, 47 p.","ipdsId":"IP-178908","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":500228,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1016/j.earscirev.2025.105249","text":"External Repository"},{"id":498605,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"south-central Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -158.79411203711422,\n              61.70233462689879\n            ],\n            [\n              -158.79411203711422,\n              56.70329373280984\n            ],\n            [\n              -142.97455757719652,\n              56.70329373280984\n            ],\n            [\n              -142.97455757719652,\n              61.70233462689879\n            ],\n            [\n              -158.79411203711422,\n              61.70233462689879\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"271","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Praet, Nore 0000-0002-5567-3718","orcid":"https://orcid.org/0000-0002-5567-3718","contributorId":365138,"corporation":false,"usgs":false,"family":"Praet","given":"Nore","affiliations":[{"id":87056,"text":"Flanders Marine Institute, Belgium","active":true,"usgs":false}],"preferred":false,"id":953746,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Daele, Maarten 0000-0002-8530-4438","orcid":"https://orcid.org/0000-0002-8530-4438","contributorId":194085,"corporation":false,"usgs":false,"family":"Van Daele","given":"Maarten","email":"","affiliations":[{"id":27279,"text":"Department of Geology and Soil Science, Ghent University, Ghent, Belgium","active":true,"usgs":false}],"preferred":false,"id":953747,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wils, Katleen 0000-0003-4738-2002","orcid":"https://orcid.org/0000-0003-4738-2002","contributorId":365139,"corporation":false,"usgs":false,"family":"Wils","given":"Katleen","affiliations":[{"id":87059,"text":"Ghent University, Ghent, Belgium","active":true,"usgs":false}],"preferred":false,"id":953748,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haeussler, Peter J. 0000-0002-1503-6247","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":219956,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter J.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":953749,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Witter, Robert C. 0000-0002-1721-254X rwitter@usgs.gov","orcid":"https://orcid.org/0000-0002-1721-254X","contributorId":219962,"corporation":false,"usgs":true,"family":"Witter","given":"Robert","email":"rwitter@usgs.gov","middleInitial":"C.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":953750,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McKay, Nicholas P. 0000-0003-3598-5113","orcid":"https://orcid.org/0000-0003-3598-5113","contributorId":365140,"corporation":false,"usgs":false,"family":"McKay","given":"Nicholas","middleInitial":"P.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":953751,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jensen, Britta J.L. 0000-0001-9134-7170","orcid":"https://orcid.org/0000-0001-9134-7170","contributorId":244298,"corporation":false,"usgs":false,"family":"Jensen","given":"Britta","email":"","middleInitial":"J.L.","affiliations":[{"id":36696,"text":"University of Alberta","active":true,"usgs":false}],"preferred":false,"id":953752,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Moernaut, Jasper 0000-0003-3164-4274","orcid":"https://orcid.org/0000-0003-3164-4274","contributorId":365141,"corporation":false,"usgs":false,"family":"Moernaut","given":"Jasper","affiliations":[{"id":87060,"text":"University of Innsbruch, Austria","active":true,"usgs":false}],"preferred":false,"id":953753,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"De Batist, Marc 0000-0002-1625-2080","orcid":"https://orcid.org/0000-0002-1625-2080","contributorId":194089,"corporation":false,"usgs":false,"family":"De Batist","given":"Marc","email":"","affiliations":[],"preferred":false,"id":953754,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70270102,"text":"70270102 - 2025 - Site response and wave propagation effects in the eastern United States","interactions":[],"lastModifiedDate":"2025-09-22T15:59:29.316903","indexId":"70270102","displayToPublicDate":"2025-08-05T07:53:21","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Site response and wave propagation effects in the eastern United States","docAbstract":"<p>Fourier amplitude spectra from regional earthquakes in the eastern United States are used in a parametric inversion for source, path, and site effects. Five earthquakes are selected for analysis during the installation of the United States National Seismic Network (US), Earthscope’s USArray Transportable Array (TA), and other temporary arrays to maximize station coverage. A global search algorithm is used to solve for site response from 0.1 to 15 Hz, corner frequency, geometrical spreading (<i><strong>r</strong></i>-<sup>γ</sup>), and frequency dependent anelastic attenuation in the form <i><strong>Q(f)</strong></i> = <i><strong>Q<sub>o</sub>f <sup>α</sup></strong></i>. Tradeoff between moment and geometric spreading is handled by fixing the moment. The tradeoff between corner frequency and Q(f) is solved by selecting the value of corner frequency that minimizes an objective function defined over all stations. Values of site response and attenuation parameters show a strong spatial correlation with the physiographic provinces of the eastern United States. Site response for the Atlantic Coastal Plain is consistent with previous work using spectral ratios relative to a reference site, defined by strong resonance peaks correlated with the thickness of sediments. Site response for the other physiographic provinces is markedly different from the coastal plain, with a lack of distinct resonance peaks and a broad moderate high at frequences from 0.1 to 0.5 Hz consistent with the hard-rock geology of the regions. Like site response, Q(f) has a strong correlation with physiographic province, showing lower values on the coastal plain and higher values inland. Geometric spreading exponent, γ, decreases with increasing hypocenter distance from just above 1 at a few tens of kilometers to 0.9 at 500 km. <span>The limited range in geometric spreading values is attributed to starting the Fourier transform window at the&nbsp;</span><i>S</i><span>‐wave arrival for all distances and averaging over multiple wave types.</span></p>","language":"English","publisher":"GeoScienceWorld","doi":"10.1785/0120250066","usgsCitation":"Hartzell, S.H., Martinetti, L., Mendoza, C., and Schmitt, R.G., 2025, Site response and wave propagation effects in the eastern United States: Bulletin of the Seismological Society of America, v. 115, no. 5, p. 2485-2506, https://doi.org/10.1785/0120250066.","productDescription":"22 p.","startPage":"2485","endPage":"2506","ipdsId":"IP-174795","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":493930,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"eastern United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -78.07834108451145,\n              43.347066936734876\n            ],\n            [\n              -83.07190566074532,\n              41.15850918749996\n            ],\n            [\n              -84.72974599179413,\n              38.49572818331108\n            ],\n            [\n              -87.6040403599389,\n              37.557442613196955\n            ],\n            [\n              -90.35205007389611,\n              32.79825745697784\n            ],\n            [\n              -81.70066250884963,\n              32.45943477635677\n            ],\n            [\n              -76.33120640624651,\n              37.93006949063302\n            ],\n            [\n              -74.11435019028751,\n              44.90250530044207\n            ],\n            [\n              -74.96201722230823,\n              45.03628280801624\n            ],\n            [\n              -78.07834108451145,\n              43.347066936734876\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"115","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-08-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Hartzell, Stephen H. 0000-0003-0858-9043 shartzell@usgs.gov","orcid":"https://orcid.org/0000-0003-0858-9043","contributorId":2594,"corporation":false,"usgs":true,"family":"Hartzell","given":"Stephen","email":"shartzell@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":945456,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martinetti, Luis B.","contributorId":359446,"corporation":false,"usgs":false,"family":"Martinetti","given":"Luis B.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":945457,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mendoza, Carlos 0000-0002-2428-7064","orcid":"https://orcid.org/0000-0002-2428-7064","contributorId":343872,"corporation":false,"usgs":false,"family":"Mendoza","given":"Carlos","email":"","affiliations":[{"id":18923,"text":"Universidad Nacional Autonoma de Mexico","active":true,"usgs":false}],"preferred":false,"id":945458,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmitt, Robert G. 0000-0001-8060-1954 rschmitt@usgs.gov","orcid":"https://orcid.org/0000-0001-8060-1954","contributorId":5611,"corporation":false,"usgs":true,"family":"Schmitt","given":"Robert","email":"rschmitt@usgs.gov","middleInitial":"G.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":945459,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70269834,"text":"70269834 - 2025 - Evaluating trends using total impervious cover as a metric for degree of urbanisation","interactions":[],"lastModifiedDate":"2025-08-06T14:01:24.238458","indexId":"70269834","displayToPublicDate":"2025-08-01T07:42:42","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating trends using total impervious cover as a metric for degree of urbanisation","docAbstract":"<p><span>Impervious cover (IC) is a common metric for assessing the degree of urbanisation in watersheds. However, there are different methods for determining IC, and use of IC correlation with urban watershed response to hydrologic and geochemical inputs can be strongly influenced by the end members (IC below 10% and above 40%). The resolution of the imagery (e.g., 1 m vs. 30 m) used to measure IC can influence the estimate of IC, with differences up to 15% observed between these two resolutions for 21 watersheds along the east coast of the United States. The differences are greatest in the middle range between 10% and 40% IC. When using IC for correlation with urban watershed responses such as discharge flashiness or median solute concentrations, fits with R</span><sup>2</sup><span>&nbsp;between 0.4 and 0.78 were obtained when including end members of IC from 0% to 50%. However, when trying to distinguish behaviour between urban watersheds that fall in the middle ranges of IC, these same parameters do not correlate well with IC. Correlations fail significance tests, can switch direction, and fall below an R</span><sup>2</sup><span>&nbsp;of 0.1 without the end members of very low or very high IC. Because of improved accuracy, the finest resolution is preferred when available, and mixing IC estimation methods should be avoided. Furthermore, using regressions that include end members may not contribute to differentiating how IC in the 10%–40% range impacts hydrologic and geochemical responses in urban watersheds. Understanding this middle range of IC is important for comparing urban and suburban watersheds or planning watershed development to minimise impacts.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.70219","usgsCitation":"Toran, L., Bain, D., Hopkins, K.G., Moore, J., and O'Donnell, E., 2025, Evaluating trends using total impervious cover as a metric for degree of urbanisation: Hydrological Processes, v. 39, no. 8, e70219, 9 p., https://doi.org/10.1002/hyp.70219.","productDescription":"e70219, 9 p.","ipdsId":"IP-173375","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":493566,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Georgia, Maryland, New Jersy, New York, North Carolina, Pennsylvania, South Carolina, Virginia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -76.45193313117295,\n              42.0101128534981\n            ],\n            [\n              -85.58729060621017,\n              34.888304090891616\n            ],\n            [\n              -84.9939132978826,\n              30.977848324458122\n            ],\n            [\n              -81.00584486613695,\n              30.56241422580763\n            ],\n            [\n              -75.17472217306889,\n              35.436628690715224\n            ],\n            [\n              -72.87437915762574,\n              41.18374638044904\n            ],\n            [\n              -76.45193313117295,\n              42.0101128534981\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"39","issue":"8","noUsgsAuthors":false,"publicationDate":"2025-08-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Toran, Laura","contributorId":81622,"corporation":false,"usgs":false,"family":"Toran","given":"Laura","email":"","affiliations":[{"id":34225,"text":"Temple University, Philadelphia, Pa.","active":true,"usgs":false}],"preferred":false,"id":944750,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bain, Daniel","contributorId":359003,"corporation":false,"usgs":false,"family":"Bain","given":"Daniel","affiliations":[{"id":12465,"text":"University of Pittsburgh","active":true,"usgs":false}],"preferred":false,"id":944751,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hopkins, Kristina G. 0000-0003-1699-9384 khopkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1699-9384","contributorId":195604,"corporation":false,"usgs":true,"family":"Hopkins","given":"Kristina","email":"khopkins@usgs.gov","middleInitial":"G.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":944752,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moore, Joel","contributorId":49034,"corporation":false,"usgs":false,"family":"Moore","given":"Joel","affiliations":[],"preferred":false,"id":944753,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"O'Donnell, Emily May 0000-0002-3202-159X","orcid":"https://orcid.org/0000-0002-3202-159X","contributorId":359005,"corporation":false,"usgs":true,"family":"O'Donnell","given":"Emily May","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"preferred":true,"id":944754,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70273379,"text":"70273379 - 2025 - Late Quaternary environmental change in eastern Beringia","interactions":[],"lastModifiedDate":"2026-01-09T16:24:21.439969","indexId":"70273379","displayToPublicDate":"2025-07-31T10:04:34","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Late Quaternary environmental change in eastern Beringia","docAbstract":"<div id=\"abspara0010\" class=\"u-margin-s-bottom\">Eastern Beringia (Alaska and western Yukon) is an extensive, high-latitude region of North America that remained largely unglaciated throughout the Quaternary. Consequently, its sedimentary deposits preserve long-term environmental records that have intrigued scientists for nearly a century. Recent advances in palaeoecological proxies and dating methods have proved critical in addressing long-standing questions about regional late Quaternary environmental change. At the same time, they have led to new and sometimes controversial hypotheses. This review covers recent discoveries and unresolved questions focused on the period 57,000–10,000 calendar years before C.E. 1950 (cal yr BP).</div><div id=\"abspara0015\" class=\"u-margin-s-bottom\">The middle Wisconsin interstadial (57,000–30,000&nbsp;cal&nbsp;yr BP) was a period of relative warmth in eastern Beringia, compared with the late Wisconsin (30,000–14,000&nbsp;cal&nbsp;yr BP). Early in the interstadial occasional<span>&nbsp;</span><i>Picea</i><span>&nbsp;</span>woodland was present amongst widespread shrub tundra. Palaeoecological, sedimentary and isotopic data indicate that climate was cooler and drier than the Holocene, with high rates of aeolian activity. Megafauna typically associated with the ‘mammoth steppe’ ecosystem (woolly mammoth [<i>Mammuthus primigenius</i>], horse [<i>Equus</i>] and steppe-bison [<i>Bison priscus</i>]) were present in some abundance.</div><div id=\"abspara0020\" class=\"u-margin-s-bottom\">The transition towards late Wisconsin cold-stage conditions (35,000–30,000&nbsp;cal&nbsp;yr BP) coincided with the establishment of the Bering Land Bridge and featured expansion of spatially varied, herbaceous vegetation, sometimes associated with deep active layers. Sedimentary DNA (<i>seda</i>DNA) and macrofossil evidence show vegetation was not a prairie-like grassland, and the term “steppe-tundra” is a better descriptor. Permafrost pore-ice isotopic (δ<sup>18</sup>O) records suggest a step change in one or more climate drivers ca. 30,000&nbsp;cal&nbsp;yr BP, by which time steppe-tundra was established across eastern Beringia. It remains uncertain whether<span>&nbsp;</span><i>Picea</i><span>&nbsp;</span>survived cold-stage conditions within isolated refugia, or whether it recolonized from south of the Laurentide-Cordilleran ice sheets. Genetic data suggest that<span>&nbsp;</span><i>Picea</i><span>&nbsp;</span>probably survived<span>&nbsp;</span><i>in situ</i>; however, there is no definitive fossil evidence to support this.</div><div id=\"abspara0025\" class=\"u-margin-s-bottom\">The end-Pleistocene transition from steppe-tundra to shrub tundra began ca. 15,000&nbsp;cal&nbsp;yr BP and took place within decades at local scales. The expansion of woody taxa coincided with rising sea levels, reduced sea-ice extent and an abrupt shift in atmospheric circulation that enhanced precipitation. During this time, Earth's orbital configuration caused high early-summer temperatures and strong seasonality, creating growing conditions very different from today. The vegetation consisted of<span>&nbsp;</span><i>Salix</i><span>&nbsp;</span>and<span>&nbsp;</span><i>Betula</i><span>&nbsp;</span>shrub tundra with open areas of herbs and graminoids. During the deglacial warming trend, the Younger Dryas oscillation (12,800–11,700&nbsp;cal&nbsp;yr BP) was variably expressed. It is generally evident in records affected by adjacent oceans but can be absent at sites in continental areas.</div><div id=\"abspara0030\" class=\"u-margin-s-bottom\">These past conditions and paleoenvironmental changes have implications for contemporary issues: hypotheses about Pleistocene mammalian extinction; sensitivity of eastern Beringia to major oceanic reorganizations and high-frequency climate variability; the nature of woody plant expansion with climate warming; grazing, hydroclimate and fire as controls over ecosystems; the efficacy of “Pleistocene rewilding” for carbon capture.</div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2025.109527","usgsCitation":"Monteath, A., Edwards, M., Froese, D., Anderson, L., Gaglioti, B., Cocker, S.L., Brigham-Grette, J., Wooller, M.J., Finney, B., and Abbott, M., 2025, Late Quaternary environmental change in eastern Beringia: Quaternary Science Reviews, v. 368, 109527, 29 p., https://doi.org/10.1016/j.quascirev.2025.109527.","productDescription":"109527, 29 p.","ipdsId":"IP-151578","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":498690,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.quascirev.2025.109527","text":"Publisher Index Page"},{"id":498509,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Beringia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -172.21469331920974,\n              71.5\n            ],\n            [\n              -172.21469331920974,\n              57.43680396544087\n            ],\n            [\n              -134.78471124536657,\n              57.43680396544087\n            ],\n            [\n              -134.78471124536657,\n              71.5\n            ],\n            [\n              -172.21469331920974,\n              71.5\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"368","noUsgsAuthors":false,"publicationDate":"2025-07-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Monteath, Alistair J.","contributorId":347675,"corporation":false,"usgs":false,"family":"Monteath","given":"Alistair J.","affiliations":[{"id":83201,"text":"4Department of Geography and Environment, University of Southampton, Southampton, UK","active":true,"usgs":false}],"preferred":false,"id":953515,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Edwards, Mary E.","contributorId":103490,"corporation":false,"usgs":true,"family":"Edwards","given":"Mary E.","affiliations":[],"preferred":false,"id":953516,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Froese, Duane","contributorId":184165,"corporation":false,"usgs":false,"family":"Froese","given":"Duane","affiliations":[],"preferred":false,"id":953517,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anderson, Lesleigh 0000-0002-5264-089X","orcid":"https://orcid.org/0000-0002-5264-089X","contributorId":264358,"corporation":false,"usgs":true,"family":"Anderson","given":"Lesleigh","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":953518,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gaglioti, Benjamin V.","contributorId":193129,"corporation":false,"usgs":false,"family":"Gaglioti","given":"Benjamin V.","affiliations":[],"preferred":false,"id":953519,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cocker, Scott L.","contributorId":364961,"corporation":false,"usgs":false,"family":"Cocker","given":"Scott","middleInitial":"L.","affiliations":[{"id":36696,"text":"University of Alberta","active":true,"usgs":false}],"preferred":false,"id":953520,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brigham-Grette, Julie","contributorId":364853,"corporation":false,"usgs":false,"family":"Brigham-Grette","given":"Julie","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":953521,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wooller, Matthew J.","contributorId":192799,"corporation":false,"usgs":false,"family":"Wooller","given":"Matthew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":953522,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Finney, Bruce P.","contributorId":88074,"corporation":false,"usgs":true,"family":"Finney","given":"Bruce P.","affiliations":[],"preferred":false,"id":953523,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Abbott, Mark B.","contributorId":267772,"corporation":false,"usgs":false,"family":"Abbott","given":"Mark B.","affiliations":[{"id":12465,"text":"University of Pittsburgh","active":true,"usgs":false}],"preferred":false,"id":953524,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70269681,"text":"70269681 - 2025 - Potential impacts of 2.3.4.4b highly pathogenic H5N1 avian influenza virus infection on Snow Goose (Anser caerulescens) movement ecology","interactions":[],"lastModifiedDate":"2025-07-30T14:30:39.246941","indexId":"70269681","displayToPublicDate":"2025-07-28T09:25:18","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Potential impacts of 2.3.4.4b highly pathogenic H5N1 avian influenza virus infection on Snow Goose (<i>Anser caerulescens</i>) movement ecology","title":"Potential impacts of 2.3.4.4b highly pathogenic H5N1 avian influenza virus infection on Snow Goose (Anser caerulescens) movement ecology","docAbstract":"<p><span>While wild waterfowl are known reservoirs of avian influenza viruses and facilitate the movement of these viruses, there are notable differences in the response to infection across species. This study explored differential responses to infection with highly pathogenic avian influenza in Snow Geese (</span><i>Anser caerulescens</i><span>) located in the California Central Valley. Though H5 antibody prevalence was high across years among birds sampled in the winter (75% in both years via hemagglutination inhibition), these values were even higher among birds sampled in summer that failed to migrate (i.e., August 2023 = 100% and August 2024 = 93% via hemagglutination inhibition). Birds that failed to migrate were also generally lighter than birds sampled in the winter and presented notable damage to cerebrum and cerebellum. In December 2022, a single individual positive for infection with H5N1 at the time of sampling indicated reduced movement during the 14 days following sampling but completed spring migration comparably with uninfected conspecifics. However, while no birds were actively infected during sampling and marking in 2023, two marked geese departed for migration late and one did not migrate at all. Additional banded birds marked in August have been reencountered in scenarios ranging from hunter harvest at a different site over a year later to found dead shortly after banding. Our data indicate that Snow Geese infected with HPAI have the potential to express variable outcomes following infection with highly pathogenic H5N1, ranging from rapid recovery within a migratory season to death. These data also suggest that the abnormal failure of some Snow Geese to migrate from the Central Valley is likely driven by HPAI infection.</span></p>","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0328149","usgsCitation":"Sullivan, J.D., Casazza, M.L., Poulson, R., Matchett, E., Overton, C.T., Carpenter, M., Lorenz, A., McDuie, F., Derico, M., Howerth, E., Stallknecht, D., and Prosser, D., 2025, Potential impacts of 2.3.4.4b highly pathogenic H5N1 avian influenza virus infection on Snow Goose (Anser caerulescens) movement ecology: PLoS ONE, v. 20, no. 7, e0328149, 15 p., https://doi.org/10.1371/journal.pone.0328149.","productDescription":"e0328149, 15 p.","ipdsId":"IP-176525","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":494435,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0328149","text":"Publisher Index Page"},{"id":493180,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Colusa County","otherGeospatial":"Delevan National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.1179602209491,\n              39.34364395946329\n            ],\n            [\n              -122.1179602209491,\n              39.271203995112444\n            ],\n            [\n              -122.07387656727536,\n              39.271203995112444\n            ],\n            [\n              -122.07387656727536,\n              39.34364395946329\n            ],\n            [\n              -122.1179602209491,\n              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Center","active":true,"usgs":true}],"preferred":true,"id":944403,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poulson, Rebecca L.","contributorId":198807,"corporation":false,"usgs":false,"family":"Poulson","given":"Rebecca L.","affiliations":[{"id":7125,"text":"Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA.","active":true,"usgs":false}],"preferred":false,"id":944404,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Matchett, Elliott 0000-0001-5095-2884 ematchett@usgs.gov","orcid":"https://orcid.org/0000-0001-5095-2884","contributorId":5541,"corporation":false,"usgs":true,"family":"Matchett","given":"Elliott","email":"ematchett@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":944405,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Overton, Cory T. 0000-0002-5060-7447 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Geogia","active":true,"usgs":false}],"preferred":false,"id":944411,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Stallknecht, David E.","contributorId":225107,"corporation":false,"usgs":false,"family":"Stallknecht","given":"David E.","affiliations":[{"id":36701,"text":"Southeastern Cooperative Wildlife Disease Study, Department of Population Health, College of Veterinary Medicine, University of Georgia","active":true,"usgs":false}],"preferred":false,"id":944412,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Prosser, Diann 0000-0002-5251-1799","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":217931,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":944413,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70269645,"text":"70269645 - 2025 - Cold-induced vomiting of a white-tailed deer (Odocoileus virginianus) by an invasive Burmese python (Python bivitattus) in Big Cypress National Preserve, Florida, USA","interactions":[],"lastModifiedDate":"2025-07-29T14:26:33.142651","indexId":"70269645","displayToPublicDate":"2025-07-27T09:25:29","publicationYear":"2025","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}},"displayTitle":"Cold-induced vomiting of a white-tailed deer (<i>Odocoileus virginianus</i>) by an invasive Burmese python (<i>Python bivitattus</i>) in Big Cypress National Preserve, Florida, USA","title":"Cold-induced vomiting of a white-tailed deer (Odocoileus virginianus) by an invasive Burmese python (Python bivitattus) in Big Cypress National Preserve, Florida, USA","docAbstract":"<p><span>The Burmese python (</span><i>Python bivittatus</i><span>) is native to Southeast Asia and has an established invasive population throughout South Florida. As part of the effort to understand invasive python biology and potential impacts to the native ecosystem, we have been using radio-telemetry to investigate feeding rates of adult female pythons. The body size and gape of adult Burmese pythons enable them to consume large native prey items including, but not limited to, white-tailed deer (</span><i>Odocoileus virginianus</i><span>). As an ectothermic species, Burmese pythons' physiological processes, including digestion, are temperature dependent, which may limit their potential invasive range. The low temperature threshold for python digestion is thought to be 20°C within a laboratory setting. Here, we detail an observation of a radio-telemetered female Burmese python that ingested an adult white-tailed deer, retained the deer within the digestive tract for 10 days, and then vomited the deer coinciding with a drop in air temperature as low as 9.4°C. The python survived the vomiting and was alive at the time of publication. To our knowledge, this is the first observation of a free-ranging Burmese python vomiting a deer within the invasive range without direct disturbance from humans at the time of vomiting. This observation provides additional evidence regarding the limits of thermal tolerance, digestion, and feeding habits of invasive Burmese pythons.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.71875","usgsCitation":"Mangione, T., McCargar, G., Metcalf, M., McBride, L.M., Suastegui, E., Perez, J., Eastridge, C., McCollister, M.F., Romagosa, C., Kissel, A.M., Yackel Adams, A.A., and Sandfoss, M.R., 2025, Cold-induced vomiting of a white-tailed deer (Odocoileus virginianus) by an invasive Burmese python (Python bivitattus) in Big Cypress National Preserve, Florida, USA: Ecology and Evolution, v. 15, no. 7, e71875, 6 p., https://doi.org/10.1002/ece3.71875.","productDescription":"e71875, 6 p.","ipdsId":"IP-176535","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":493319,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.71875","text":"Publisher Index Page"},{"id":493093,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Big Cypress National Preserve","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -80.86791003833896,\n              26.267134358722814\n            ],\n            [\n              -81.37312141287171,\n              26.267134358722814\n            ],\n            [\n              -81.37312141287171,\n              25.604189792766476\n            ],\n            [\n              -80.84471155685524,\n              25.608838411655867\n            ],\n            [\n              -80.82537948895192,\n              25.94494031036455\n            ],\n            [\n              -80.86791003833896,\n              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,{"id":70269604,"text":"70269604 - 2025 - Reflections on a trio of North American earthquakes in 1925","interactions":[],"lastModifiedDate":"2025-12-15T16:24:36.85827","indexId":"70269604","displayToPublicDate":"2025-07-25T08:49:44","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Reflections on a trio of North American earthquakes in 1925","docAbstract":"<p><span>In 1925, three moderately large damaging earthquakes occurred in North America over four months: the 28 February (local time; LT)&nbsp;</span><strong>M</strong><span>&nbsp;6.2 Charlevoix, 27 June (LT)&nbsp;</span><strong>M</strong><span>&nbsp;6.6 Montana, and 29 June&nbsp;</span><strong>M</strong><span>&nbsp;6.5 Santa Barbara earthquakes. The centennial anniversaries of these events motivated this retrospective consideration focused on the ground motions generated by the three events, including a reconsideration of early intensity assignments for the Montana earthquake. At the time, these three earthquakes appeared to support the arguments of some geologists who downplayed the severity of seismic hazard in southern California relative to other parts of the country. Some of the arguments advanced at that time, for example that Los Angeles “has the least to fear from ‘Acts of God’ of any city under the American flag,” (</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf34\">Hill, 1928</a><span>) sound naïve if not laughable now, but a comparison of well‐constrained shaking distributions for the three earthquakes reveals the dramatic difference in wave propagation efficiency in western versus eastern North America (ENAM), which leads to moderate ENAM events being felt to much larger distances. At&nbsp;</span><strong>M</strong><span>&nbsp;6.2, the 1925 Charlevoix earthquake was a notably large event in ENAM. This earthquake was the largest event in eastern Canada since 1870 and caused damage in the epicentral region in addition to towns as far away as 200&nbsp;km, with felt shaking extending over 1000&nbsp;km. In contrast, felt shaking from the Santa Barbara earthquake barely extended beyond ∼200&nbsp;km. Compiling published intensity distributions for larger ENAM earthquakes, we show that perceptible earthquake shaking is not uncommon in ENAM over century time scales, but experience with weakly felt shaking may incline people to downplay potential earthquake risk.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220250149","usgsCitation":"Hough, S., Lamontagne, M., Ebel, J.E., and Baise, L., 2025, Reflections on a trio of North American earthquakes in 1925: Seismological Research Letters, v. 97, no. 1, p. 548-563, https://doi.org/10.1785/0220250149.","productDescription":"16 p.","startPage":"548","endPage":"563","ipdsId":"IP-177706","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":492992,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":493792,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0220250149","text":"Publisher Index Page"}],"country":"Canada, United States","state":"California, Montana, Quebec","city":"Charlevoix, Santa Barabara","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -59.53926709002974,\n              53.87081636094325\n            ],\n            [\n              -83.28222707125245,\n              53.87081636094325\n            ],\n            [\n              -83.28222707125245,\n              38.33111191824375\n            ],\n            [\n              -59.53926709002974,\n              38.33111191824375\n            ],\n            [\n              -59.53926709002974,\n              53.87081636094325\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -118.68351578110878,\n              50.1420000300991\n            ],\n            [\n              -118.68351578110878,\n              41.07790483235203\n            ],\n            [\n              -105.88082499225033,\n              41.07790483235203\n            ],\n            [\n              -105.88082499225033,\n              50.1420000300991\n            ],\n            [\n              -118.68351578110878,\n              50.1420000300991\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -120.32391559009457,\n              34.119859058363375\n            ],\n            [\n              -116.7888148930596,\n              34.119859058363375\n            ],\n            [\n              -116.7888148930596,\n              37.37154662231801\n            ],\n            [\n              -122.49989970320146,\n              37.667148547520824\n            ],\n            [\n              -120.32391559009457,\n              34.119859058363375\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"97","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-07-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Hough, Susan E. 0000-0002-5980-2986","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":350979,"corporation":false,"usgs":true,"family":"Hough","given":"Susan E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":944166,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lamontagne, Maurice","contributorId":358790,"corporation":false,"usgs":false,"family":"Lamontagne","given":"Maurice","affiliations":[{"id":85683,"text":"Canadian Geological Survey","active":true,"usgs":false}],"preferred":false,"id":944167,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ebel, John E.","contributorId":198671,"corporation":false,"usgs":false,"family":"Ebel","given":"John","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":944168,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baise, L.","contributorId":358791,"corporation":false,"usgs":false,"family":"Baise","given":"L.","affiliations":[{"id":6936,"text":"Tufts University","active":true,"usgs":false}],"preferred":false,"id":944169,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70270106,"text":"70270106 - 2025 - The impact of the May 1921 superstorm on American telecommunication systems","interactions":[],"lastModifiedDate":"2025-08-11T15:09:51.182641","indexId":"70270106","displayToPublicDate":"2025-07-25T08:03:07","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3456,"text":"Space Weather","active":true,"publicationSubtype":{"id":10}},"title":"The impact of the May 1921 superstorm on American telecommunication systems","docAbstract":"A compilation is presented of impacts (interference and damage) realized on long-line telegraph\nand telephone systems across North America during the 13-16 May 1921 magnetic storm. Impacts\noccurred primarily during local nighttime, after the third of four sudden commencements, and\nduring the storm’s most-prominent main phase. Impacts are attributed to rapid and high-amplitude\ngeomagnetic field variation generated by substorms. This induced potential di erences and\nbetween the grounding points of communication networks that were su cient to cause system\ninterference and damage. In the United States, impacts were concentrated in the Midwest and in\nthe East, regions characterized by high electromagnetic surface impedance. Given technological\nchanges, modern telecommunication systems are less exposed to storms like that of May 1921,\nwhile power-grid systems are now more exposed to them.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025SW004563","usgsCitation":"Love, J.J., Lucas, G.M., Kelbert, A., Schnepf, N.R., Bedrosian, P.A., and McBride, S., 2025, The impact of the May 1921 superstorm on American telecommunication systems: Space Weather, v. 23, no. 7, e2025SW004563, 7 p., https://doi.org/10.1029/2025SW004563.","productDescription":"e2025SW004563, 7 p.","ipdsId":"IP-176044","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":494187,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025sw004563","text":"Publisher Index Page"},{"id":493931,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -112.04591235883407,\n              48.55929857106818\n            ],\n            [\n              -113.11562382583244,\n              44.989521883693286\n            ],\n            [\n              -97.39942377885234,\n              45.62679588654639\n            ],\n            [\n              -94.09937380848437,\n              36.67842728651029\n            ],\n            [\n              -73.77940090499652,\n              39.39897652697945\n            ],\n            [\n              -62.59060976277681,\n              46.438434374285634\n            ],\n            [\n              -112.04591235883407,\n              48.55929857106818\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"23","issue":"7","noUsgsAuthors":false,"publicationDate":"2025-07-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":945467,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lucas, Greg M.","contributorId":359448,"corporation":false,"usgs":false,"family":"Lucas","given":"Greg","middleInitial":"M.","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":945468,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelbert, Anna","contributorId":359449,"corporation":false,"usgs":false,"family":"Kelbert","given":"Anna","affiliations":[{"id":85814,"text":"Harvard-Smithsonian Center for Astrophysics, Cambridge, Massachusetts, 02138, USA","active":true,"usgs":false}],"preferred":false,"id":945469,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schnepf, Neesha R.","contributorId":359450,"corporation":false,"usgs":false,"family":"Schnepf","given":"Neesha","middleInitial":"R.","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":945470,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":945471,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McBride, Sara K. 0000-0002-8062-6542","orcid":"https://orcid.org/0000-0002-8062-6542","contributorId":206933,"corporation":false,"usgs":true,"family":"McBride","given":"Sara K.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":945472,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70269627,"text":"70269627 - 2025 - Rupture process of the Mw7.0 December 5, 2024 Offshore Cape Mendocino earthquake","interactions":[],"lastModifiedDate":"2025-07-28T13:36:59.810848","indexId":"70269627","displayToPublicDate":"2025-07-24T08:32:47","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Rupture process of the Mw7.0 December 5, 2024 Offshore Cape Mendocino earthquake","docAbstract":"<p><span>The Mw7.0 December 5, 2024 Offshore Cape Mendocino earthquake ruptured a&nbsp;</span><span>&nbsp;km long portion of the east-west trending Mendocino fault zone (MFZ). In order to clarify the rupture process, we assemble three-component seismograms from regional seismic stations, horizontal coseismic displacement vectors derived from Global Navigation Satellite System (GNSS) time series, and a Sentinel-1 ascending interferogram. These data are interpreted with a model of slip distributed on two vertical fault planes representative of the eastern MFZ and spanning the ~70</span><span>&nbsp;km length of the aftershock zone. Assuming right-lateral strike slip, we find that the rupture initiates in the oceanic mantle at 20-30</span><span>&nbsp;km depth and proceeds unilaterally updip and toward the east. Early aftershocks locate adjacent to the peak slip areas, tracking the coseismic rupture propagation from oceanic mantle to shallower depth and implying a significant role of static stress transfer in driving aftershocks in an ocean plate environment.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025GL115613","usgsCitation":"Pollitz, F., Guns, K., and Yoon, C., 2025, Rupture process of the Mw7.0 December 5, 2024 Offshore Cape Mendocino earthquake: Geophysical Research Letters, v. 52, no. 14, e2025GL115613, 10 p., https://doi.org/10.1029/2025GL115613.","productDescription":"e2025GL115613, 10 p.","ipdsId":"IP-176306","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":493311,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025gl115613","text":"Publisher Index Page"},{"id":492990,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Offshore Cape Mendocino","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -126,\n              42\n            ],\n            [\n              -126,\n              38\n            ],\n            [\n              -121,\n              38\n            ],\n            [\n              -121,\n              42\n            ],\n            [\n              -126,\n              42\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"52","issue":"14","noUsgsAuthors":false,"publicationDate":"2025-07-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Pollitz, Frederick 0000-0002-4060-2706 fpollitz@usgs.gov","orcid":"https://orcid.org/0000-0002-4060-2706","contributorId":139578,"corporation":false,"usgs":true,"family":"Pollitz","given":"Frederick","email":"fpollitz@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":944214,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guns, Katherine Anna 0000-0002-2956-1536","orcid":"https://orcid.org/0000-0002-2956-1536","contributorId":358824,"corporation":false,"usgs":true,"family":"Guns","given":"Katherine Anna","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":944215,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yoon, Clara 0000-0003-4521-3889","orcid":"https://orcid.org/0000-0003-4521-3889","contributorId":222019,"corporation":false,"usgs":true,"family":"Yoon","given":"Clara","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":944216,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70268977,"text":"sir20255027 - 2025 - Development of regression equations to estimate flow durations, low-flow frequencies, and mean flows at ungaged stream sites in Connecticut using data through water year 2022","interactions":[],"lastModifiedDate":"2026-02-03T14:32:36.443118","indexId":"sir20255027","displayToPublicDate":"2025-07-23T10:10:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5027","displayTitle":"Development of Regression Equations to Estimate Flow Durations, Low-Flow Frequencies, and Mean Flows at Ungaged Stream Sites in Connecticut Using Data Through Water Year 2022","title":"Development of regression equations to estimate flow durations, low-flow frequencies, and mean flows at ungaged stream sites in Connecticut using data through water year 2022","docAbstract":"<p>To aid Federal and State regulatory agencies in the effective management of water resources, the U.S. Geological Survey, in cooperation with the Connecticut Department of Energy and Environmental Protection and the Connecticut Department of Transportation, updated flow statistics for 118 streamgages and developed 47 regression equations to estimate selected flow duration, low flow, and mean flow statistics for the entire State of Connecticut, for the following: 1-, 5-, 10-, 25-, 50-, 75-, 90-, 99-percent flow durations; 7-day, 10-year low-flow frequency and 30-day, 2-year low-flow frequency; and mean flow, spring mean flow, and harmonic mean flow. In addition, regression equations were developed for monthly and seasonal flow durations, ranging from 25 to 99 percent for aquatic biological processes of salmonid spawning (November), overwinter (December–February), clupeid spawning (May), resident spawning (June), and rearing and growth (July–October) periods, and for flow durations ranging from 1 to 99 percent for the habitat forming (March–April) period. Statistics were derived from daily mean streamflow data collected from streamgages with at least 10 years of data through water year 2022 in southern New England and eastern New York.</p><p>Forty streamgages in Connecticut and adjacent areas of neighboring States were used in the regression analysis. Regression methods of weighted least squares and generalized least squares were used to derive the final coefficients and measures of uncertainty for the regression equations. The equations used to estimate selected streamflow statistics were developed by relating the flow statistics to different basin characteristics (physical, land cover, and climatic) at the 40 streamgages. Nine basin characteristics served as the explanatory variables in the statewide regression equations: drainage area, percentage of area with coarse-grained stratified deposits, stream density, mean basin slope, mean basin elevation, percentage of area with hydrologic soil group A, mean monthly precipitation for November, mean seasonal precipitation in the winter (December, January, and February), and mean annual temperature. The root mean square error of the 47 equations ranged from 7.9 to 121.9 percent, with an average of 27.9 percent. The equations estimate flows most accurately near the mean (50-percent flow duration), become less accurate for low flows, and are the least accurate for extreme low flows. The root mean square error for the 50-percent flow duration is 15.1 percent, with an average of 17.6 percent across the six periods. The extreme low flow statistics of 7-day, 10-year low-flow frequency, 99-percent flow duration, and 99-percent rearing and growth period flow durations have root mean square errors of 121.9, 105.1, and 121.9 percent, respectively. The adjusted coefficient of determination of the 47 equations ranged from 73.4 to 99.5 percent, with an average of 95.1 percent.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255027","collaboration":"Prepared in cooperation with the Connecticut Department of Energy and Environmental Protection and the Connecticut Department of Transportation","usgsCitation":"Ahearn, E.A., and Bent, G.C., 2025, Development of regression equations to estimate flow durations, low-flow frequencies, and mean flows at ungaged stream sites in Connecticut using data through water year 2022: U.S. Geological Survey Scientific Investigations Report 2025–5027, 54 p., https://doi.org/10.3133/sir20255027.","productDescription":"Report: vi, 54 p.; Data Release","numberOfPages":"54","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-165198","costCenters":[{"id":466,"text":"New England Water Science 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 \"}}]}","contact":"<p><a href=\"mailto:dc_nweng@usgs.gov\" data-mce-href=\"mailto:dc_nweng@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/new-england-water-science-center\" data-mce-href=\"https://www.usgs.gov/centers/new-england-water-science-center\">New England Water Science Center</a><br>U.S. Geological Survey<br>10 Bearfoot Road<br>Northborough, MA 01532</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Previous Studies</li><li>Physical Setting</li><li>Computation of Streamflow Statistics at Streamgages</li><li>Statistical Analysis of Trends in the Annual 7-Day Low Flows</li><li>Basin and Climatic Characteristics of Streamgages</li><li>Development of Regression Equations for Estimating Selected Flow Statistics</li><li>Summary</li><li>Acknowledgments</li><li>Selected References</li><li>Appendix 1. Streamgages Used To Estimate Flow-Durations, Low-Flow Frequencies, and Mean Flows at Ungaged Stream Sites in Connecticut</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2025-07-23","noUsgsAuthors":false,"plainLanguageSummary":"<p>The U.S. Geological Survey, the Connecticut Department of Energy and Environmental Protection, and the Connecticut Department of Transportation collaboratively updated flow statistics for 118 streamgages and developed 47 regression equations to estimate key flow statistics in Connecticut. These included various flow durations and low-flow frequencies, as well as mean flow statistics for specific aquatic biological processes. The analysis used daily mean streamflow data from 40 streamgages with at least 10 years of data and incorporated basin characteristics such as drainage area and precipitation. The equations were most accurate near the mean flow (50-percent flow duration), with an average root mean square error of 27.9 percent, while accuracy decreased for low and extreme low flows. The adjusted coefficient of determination ranged from 73.4 to 99.5 percent, averaging 95.1 percent.</p>","publicationDate":"2025-07-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Ahearn, Elizabeth A. 0000-0002-5633-2640 eaahearn@usgs.gov","orcid":"https://orcid.org/0000-0002-5633-2640","contributorId":194658,"corporation":false,"usgs":true,"family":"Ahearn","given":"Elizabeth","email":"eaahearn@usgs.gov","middleInitial":"A.","affiliations":[{"id":377,"text":"Massachusetts-Rhode Island Water Science Center","active":false,"usgs":true},{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"preferred":false,"id":942790,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bent, Gardner C. 0000-0002-5085-3146","orcid":"https://orcid.org/0000-0002-5085-3146","contributorId":205226,"corporation":false,"usgs":true,"family":"Bent","given":"Gardner C.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":942791,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70269483,"text":"70269483 - 2025 - Public support for puma reintroduction in the eastern United States","interactions":[],"lastModifiedDate":"2025-08-19T15:30:07.710575","indexId":"70269483","displayToPublicDate":"2025-07-23T09:17:45","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"title":"Public support for puma reintroduction in the eastern United States","docAbstract":"<p><span>Pumas (</span><i>Puma concolor</i><span>) are among the species identified as having the potential to enhance ecosystem function. Previous research highlights sufficient ecological habitat to support pumas in the eastern United States; however, their reintroduction requires social and institutional support as well. To this end, we conducted research to assess attitudes about puma reintroduction among key constituencies like hunters, rural residents, and young people. We sampled 2756 respondents across seven states (Massachusetts, Maine, New Hampshire, New York, Pennsylvania, Vermont, and West Virginia). Ratios of strong support (for puma reintroduction) to strong opposition across states ranged from 4:1 to 13:1, and support outweighed opposition in every state. Our results contrasted with common assumptions that hunters, rural residents, and people who identify as politically conservative oppose carnivore conservation and reintroduction. We found marginal differences among categories of people, but overall little variation in support exhibited by different groups. People who identified very strongly as hunters were more supportive of reintroduction than those who did not identify as hunters at all. Taken together, the presence of quality habitat and support for puma restoration warrant further exploration. However, federal funding for state-based restoration efforts likely requires the inclusion of pumas in State Wildlife Action Plans (SWAPs), which are currently under a 10-year revision due to be published this year (2025).</span></p>","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/csp2.70105","usgsCitation":"Elbroch, L.M., Murphy, J., Carlson, S., Vucetich, J.A., Berl, R.E., Galiardi, L., Perry, S., Butler, T., Carter, N., Hinton, J.W., Moehrenschlager, A., Carrollo, E.M., Bayrakcismith, R., and Bruskotter, J.T., 2025, Public support for puma reintroduction in the eastern United States: Conservation Science and Practice, v. 7, no. 8, e70105, 12 p., https://doi.org/10.1111/csp2.70105.","productDescription":"e70105, 12 p.","ipdsId":"IP-167680","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":493306,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.70105","text":"Publisher Index Page"},{"id":492827,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine, Massachusetts, New Hampshire, New York, Pennsylvania, Vermont, West Virginia","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-70.59628,41.471905],[-70.450431,41.420703],[-70.496162,41.346452],[-70.802083,41.314207],[-70.59628,41.471905]]],[[[-70.092142,41.297741],[-69.960277,41.278731],[-70.256164,41.288123],[-70.092142,41.297741]]],[[[-71.502487,45.013367],[-71.443882,45.235462],[-70.898482,45.244088],[-70.684614,45.395071],[-70.688214,45.563981],[-70.259117,45.890755],[-70.290896,46.185838],[-70.057061,46.415036],[-69.997086,46.69523],[-69.22442,47.459686],[-69.066715,47.43024],[-69.0402,47.2451],[-68.893204,47.182974],[-68.292679,47.359476],[-67.790515,47.067921],[-67.803148,45.696127],[-67.476704,45.604157],[-67.489464,45.282653],[-67.390579,45.154114],[-67.145652,45.146667],[-66.986318,44.820657],[-68.049334,44.33073],[-68.22939,44.463496],[-68.191924,44.306675],[-68.339498,44.222893],[-68.3791,44.430049],[-68.529905,44.39907],[-68.528153,44.241263],[-68.982449,44.426195],[-69.031878,44.079036],[-69.259838,43.921427],[-69.851297,43.703581],[-70.026193,43.822587],[-70.176023,43.76079],[-70.810999,42.892375],[-70.772267,42.711064],[-70.595474,42.660336],[-70.996097,42.271222],[-70.754488,42.228673],[-70.471552,41.761563],[-70.008462,41.800786],[-70.169781,42.059736],[-70.082624,42.054657],[-69.935952,41.809422],[-69.976478,41.603664],[-70.329924,41.634578],[-70.902763,41.421061],[-70.658659,41.543385],[-70.623652,41.707398],[-71.12057,41.497448],[-71.458104,42.017762],[-73.432812,42.050587],[-73.482709,41.21276],[-73.727775,41.100696],[-73.782577,40.837601],[-72.635374,40.990536],[-72.245348,41.161217],[-72.273657,41.051533],[-72.116368,40.999796],[-71.869558,41.075046],[-73.145266,40.645491],[-73.934512,40.545175],[-74.013784,40.756601],[-73.896479,40.981697],[-74.694914,41.357423],[-75.135526,40.973807],[-75.188579,40.624628],[-74.733804,40.174509],[-75.140006,39.888465],[-75.799563,39.721882],[-79.476662,39.721078],[-79.412051,39.240546],[-78.795857,39.606934],[-78.474178,39.51624],[-78.143478,39.690412],[-77.853436,39.607117],[-77.761217,39.263721],[-78.032841,39.264403],[-78.347087,39.466012],[-78.436658,39.141691],[-78.865905,38.767034],[-78.993997,38.850102],[-79.26291,38.444586],[-79.649075,38.591515],[-80.314806,37.500943],[-80.475601,37.422949],[-81.67821,37.201483],[-82.487556,37.916975],[-82.598189,38.357885],[-82.205171,38.591719],[-82.091565,38.973778],[-81.819692,38.947016],[-81.692203,39.236091],[-80.865575,39.662751],[-80.602895,40.327869],[-80.652436,40.562544],[-80.52566,40.636068],[-80.519345,41.929168],[-78.868556,42.770258],[-79.061388,43.251349],[-78.370221,43.376505],[-76.952174,43.270692],[-76.235834,43.529256],[-76.133697,43.940356],[-76.360306,44.070907],[-76.312647,44.199044],[-74.946686,44.984665],[-71.502487,45.013367]]],[[[-74.144428,40.53516],[-74.219787,40.502603],[-74.120186,40.642201],[-74.144428,40.53516]]]]},\"properties\":{\"name\":\"Massachusetts\",\"nation\":\"USA  \"}}]}","volume":"7","issue":"8","noUsgsAuthors":false,"publicationDate":"2025-07-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Elbroch, L. Mark","contributorId":337813,"corporation":false,"usgs":false,"family":"Elbroch","given":"L.","email":"","middleInitial":"Mark","affiliations":[{"id":81049,"text":"Panthera","active":true,"usgs":false}],"preferred":false,"id":943859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murphy, Jazmin","contributorId":354020,"corporation":false,"usgs":false,"family":"Murphy","given":"Jazmin","affiliations":[{"id":84538,"text":"Wolf Conservation Center","active":true,"usgs":false}],"preferred":false,"id":943860,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carlson, Shelby","contributorId":358498,"corporation":false,"usgs":false,"family":"Carlson","given":"Shelby","affiliations":[{"id":18155,"text":"The Ohio State University","active":true,"usgs":false}],"preferred":false,"id":943861,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vucetich, John A.","contributorId":219329,"corporation":false,"usgs":false,"family":"Vucetich","given":"John","email":"","middleInitial":"A.","affiliations":[{"id":39990,"text":"School of Forest Resources and Environmental Science, Michigan Tech, Houghton","active":true,"usgs":false}],"preferred":false,"id":943862,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Berl, Richard Eugene Waggaman 0000-0002-4154-1319","orcid":"https://orcid.org/0000-0002-4154-1319","contributorId":336851,"corporation":false,"usgs":true,"family":"Berl","given":"Richard","email":"","middleInitial":"Eugene Waggaman","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":943863,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Galiardi, Lexi","contributorId":358501,"corporation":false,"usgs":false,"family":"Galiardi","given":"Lexi","affiliations":[{"id":18155,"text":"The Ohio State University","active":true,"usgs":false}],"preferred":false,"id":943864,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Perry, Shelby","contributorId":358504,"corporation":false,"usgs":false,"family":"Perry","given":"Shelby","affiliations":[{"id":85638,"text":"Northeast Wilderness Trust","active":true,"usgs":false}],"preferred":false,"id":943865,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Butler, Tom","contributorId":331422,"corporation":false,"usgs":false,"family":"Butler","given":"Tom","email":"","affiliations":[{"id":37230,"text":"EPA","active":true,"usgs":false}],"preferred":false,"id":943866,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Carter, Neil H.","contributorId":245214,"corporation":false,"usgs":false,"family":"Carter","given":"Neil H.","affiliations":[{"id":37387,"text":"University of Michigan","active":true,"usgs":false}],"preferred":false,"id":943867,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hinton, Joseph W.","contributorId":179346,"corporation":false,"usgs":false,"family":"Hinton","given":"Joseph","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":943868,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Moehrenschlager, Axel","contributorId":356086,"corporation":false,"usgs":false,"family":"Moehrenschlager","given":"Axel","affiliations":[{"id":80508,"text":"IUCN Species Survival Commission","active":true,"usgs":false}],"preferred":false,"id":943869,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Carrollo, Emily M.","contributorId":204562,"corporation":false,"usgs":false,"family":"Carrollo","given":"Emily","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":943870,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Bayrakcismith, Rana","contributorId":358505,"corporation":false,"usgs":false,"family":"Bayrakcismith","given":"Rana","affiliations":[{"id":81049,"text":"Panthera","active":true,"usgs":false}],"preferred":false,"id":943871,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Bruskotter, Jeremy T.","contributorId":171472,"corporation":false,"usgs":false,"family":"Bruskotter","given":"Jeremy","email":"","middleInitial":"T.","affiliations":[{"id":16172,"text":"Ohio State University, Columbus, OH","active":true,"usgs":false}],"preferred":false,"id":943872,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70273373,"text":"70273373 - 2025 - From water to web: Trophic transfer of neonicotinoids from a wastewater effluent-dominated stream to riparian spiders","interactions":[],"lastModifiedDate":"2026-01-09T17:41:12.353802","indexId":"70273373","displayToPublicDate":"2025-07-22T11:32:52","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23128,"text":"ACS Environmental Au","active":true,"publicationSubtype":{"id":10}},"title":"From water to web: Trophic transfer of neonicotinoids from a wastewater effluent-dominated stream to riparian spiders","docAbstract":"<p><span>Municipal wastewater is a known point source of organic contaminants, including pharmaceuticals and neonicotinoid insecticides. Emergent aquatic insects can provide a direct aquatic-to-terrestrial contaminant transfer route to the food web, with implications for terrestrial food web dispersal of wastewater-derived organic contaminants. We quantified 17 target pharmaceuticals and insecticides (log&nbsp;</span><i>K</i><sub>ow</sub><span>: −1.43 to 4.75) in surface water, fish, aquatic insects, and web-building riparian spiders at a wastewater effluent-dominated stream in eastern Iowa, USA. Two neonicotinoids, imidacloprid and clothianidin, had spider tissue concentrations of 8.9–84 ng/g and 1.2–11 ng/g, respectively. The imidacloprid/clothianidin ratios in spider tissues were reflective of the concentration ratios in the effluent-dominated streamwater and opposite of nearby agriculturally dominated waters. In contrast, no pharmaceuticals were detectable in the riparian spiders; however, only pharmaceuticals were present in both fish and aquatic insects (1.1–11 ng/g and 5.9–51 ng/g, respectively). Neonicotinoids are not predicted to enter aquatic food webs based on their log&nbsp;</span><i>K</i><sub>ow</sub><span>&nbsp;and bioconcentration factor values; therefore, an implication of this study is to warrant caution when using traditional bioaccumulation models for polar hydrophilic contaminants. This work provides further evidence that neonicotinoids undergo trophic transfer and represents the initial measurements, implicating such a transfer from effluent-dominated streams into terrestrial food webs. While this study emphasizes field-relevant observations, it is limited by environmental variability, including uncertainties in the biomass of emergent insects that likely contribute to spider diets. Future research could investigate contaminant metabolites within individual organisms or use complementary techniques to better understand the underlying mechanisms.</span></p>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acsenvironau.5c00021","usgsCitation":"Mianecki, A.L., Behrens, J.R., Kolpin, D., Hemphill, G.R., Kapoor, K., and LeFevre, G.H., 2025, From water to web: Trophic transfer of neonicotinoids from a wastewater effluent-dominated stream to riparian spiders: ACS Environmental Au, v. 5, no. 5, p. 457-467, https://doi.org/10.1021/acsenvironau.5c00021.","productDescription":"11 p.","startPage":"457","endPage":"467","ipdsId":"IP-164873","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":498680,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acsenvironau.5c00021","text":"Publisher Index Page"},{"id":498518,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","otherGeospatial":"Muddy Creek","volume":"5","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-07-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Mianecki, A. L.","contributorId":364924,"corporation":false,"usgs":false,"family":"Mianecki","given":"A.","middleInitial":"L.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":953490,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Behrens, J. R.","contributorId":358445,"corporation":false,"usgs":false,"family":"Behrens","given":"J.","middleInitial":"R.","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":953491,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kolpin, Dana W. 0000-0002-3529-6505","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":205652,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana W.","affiliations":[{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953492,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hemphill, G. R.","contributorId":364926,"corporation":false,"usgs":false,"family":"Hemphill","given":"G.","middleInitial":"R.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":953493,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kapoor, K.","contributorId":364928,"corporation":false,"usgs":false,"family":"Kapoor","given":"K.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":953494,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"LeFevre, G. H.","contributorId":364930,"corporation":false,"usgs":false,"family":"LeFevre","given":"G.","middleInitial":"H.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":953495,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70269509,"text":"70269509 - 2025 - Genetic structure of an expanding population of Humpback Chub in Grand Canyon","interactions":[],"lastModifiedDate":"2025-11-20T16:40:29.42034","indexId":"70269509","displayToPublicDate":"2025-07-22T09:45:19","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Genetic structure of an expanding population of Humpback Chub in Grand Canyon","docAbstract":"<div class=\" sec\"><div class=\"title\">Objective</div><p class=\"chapter-para\">Humpback Chub (HBC)<span>&nbsp;</span><i>Gila cypha</i><span>&nbsp;</span>in Grand Canyon declined in abundance and distribution over the latter part of the 20th century but have substantially increased in abundance and distribution over the past two decades. Although previous genetic work suggested that HBC in Grand Canyon belong to one genetic group, here we evaluate the genetic structure of HBC in Grand Canyon to determine whether relic populations in western Grand Canyon may have contributed unique variation to the recent population expansion or whether differences in behavior linked to migration in eastern Grand Canyon may promote assortative mating and heretofore unrecognized population structure.</p></div><div class=\" sec\"><div class=\"title\">Methods</div><p class=\"chapter-para\">Using fin clips collected from 167 individual HBC representing four sampling sites within Grand Canyon, we extracted DNA and developed data sets consisting of approximately 20,000 anonymous genomic loci. We quantified patterns of genetic diversity, and we accounted for outlier single-nucleotide polymorphisms to ensure that our interpretations of genetic patterns were not misled by adaptive processes and did not mask adaptively important genetic variation.</p></div><div class=\" sec\"><div class=\"title\">Results</div><p class=\"chapter-para\">Despite behavioral variation and the possibility that individuals with unique genetic variation survived in isolated warmwater sites within western Grand Canyon, HBC were not differentiated by sampling site or by differences in migratory behavior. Heterozygosity and nucleotide diversity were consistently high among sampling sites, and inbreeding coefficients were close to zero.</p></div><div class=\" sec\"><div class=\"title\">Conclusions</div><p class=\"chapter-para\">The HBC in Grand Canyon constitute a single genetic population. Our results do not preclude a genetic basis to migratory behavior, but our data suggest that this trait does not lead to assortative mating. Furthermore, while HBC may have survived in discontiguous warmwater refugia in western Grand Canyon during decades when the main stem was too cold for spawning, our data did not reveal any noticeable spatial variability in HBC genetics in the main stem after the recent HBC population expansion.</p></div>","language":"English","publisher":"Oxford Academic","doi":"10.1093/najfmt/vqaf060","usgsCitation":"Dzul, M.C., Massatti, R., Yackulic, C., Omana-Smith, E., and Young, K., 2025, Genetic structure of an expanding population of Humpback Chub in Grand Canyon: North American Journal of Fisheries Management, v. 45, no. 5, p. 929-940, https://doi.org/10.1093/najfmt/vqaf060.","productDescription":"12 p.","startPage":"929","endPage":"940","ipdsId":"IP-171606","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":492831,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.66641305997359,\n              36.76380274306818\n            ],\n            [\n              -114.02451595187244,\n              36.76380274306818\n            ],\n            [\n              -114.02451595187244,\n              35.52466906523314\n            ],\n            [\n              -111.66641305997359,\n              35.52466906523314\n            ],\n            [\n              -111.66641305997359,\n              36.76380274306818\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"45","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-07-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Dzul, Maria C. 0000-0002-4798-5930 mdzul@usgs.gov","orcid":"https://orcid.org/0000-0002-4798-5930","contributorId":5469,"corporation":false,"usgs":true,"family":"Dzul","given":"Maria","email":"mdzul@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":943920,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Massatti, Robert 0000-0001-5854-5597","orcid":"https://orcid.org/0000-0001-5854-5597","contributorId":207294,"corporation":false,"usgs":true,"family":"Massatti","given":"Robert","email":"","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":943921,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":943922,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Omana-Smith, Emily","contributorId":358543,"corporation":false,"usgs":false,"family":"Omana-Smith","given":"Emily","affiliations":[{"id":85649,"text":"National Park Service, Grand Canyon National Park, 1824 S. Thompson St., Flagstaff, AZ, 86001","active":true,"usgs":false}],"preferred":false,"id":943923,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Young, Kirk","contributorId":139191,"corporation":false,"usgs":false,"family":"Young","given":"Kirk","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":943924,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70269443,"text":"70269443 - 2025 - Occurrence and tissue distribution of per- and polyfluoroalkyl substances (PFAS) in fishes from waterbodies with point and non-point sources in Massachusetts, USA","interactions":[],"lastModifiedDate":"2025-07-23T14:32:38.22027","indexId":"70269443","displayToPublicDate":"2025-07-20T09:28:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":874,"text":"Aquatic Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Occurrence and tissue distribution of per- and polyfluoroalkyl substances (PFAS) in fishes from waterbodies with point and non-point sources in Massachusetts, USA","docAbstract":"<p><span>Per- and polyfluoroalkyl substances (PFAS) are persistent environmental contaminants with known bioaccumulative and toxic effects in aquatic ecosystems. This study assessed site-specific differences in PFAS contamination in fish from Ashumet Pond, Sudbury River, and Great Herring Pond (reference site) in Massachusetts. Fish from Ashumet Pond exhibited the highest PFAS concentrations, particularly perfluorooctane sulfonate (PFOS), which exceeded levels in plasma almost 650 times those at the reference site. Principal component analysis identified distinct PFAS profiles at each site, reflecting localized contamination sources. Temporal analysis at Ashumet Pond revealed a substantial increase in plasma PFOS and perfluorodecanoic acid (PFDA) from 2020 to 2022. Tissue distribution analyses showed the highest PFAS concentrations in plasma, followed by liver and muscle, consistent with PFAS binding affinity for blood proteins. Species-specific differences in PFAS bioaccumulation were observed, with largemouth bass (</span><i>Micropterus nigricans</i><span>) exhibiting higher body burdens than banded killifish (</span><i>Diaphanus fundulus</i><span>), likely due to trophic position and dietary exposure. Histopathological assessments and gene transcript analyses revealed associations between PFAS exposure and inflammatory responses, oxidative stress, endocrine disruption, and immune-related pathways, with the most pronounced molecular effects observed at the downstream site of the Sudbury River. This study underscores the importance of understanding site-specific contamination sources, exposure pathways, and biological effects of PFAS in fish. These findings would benefit from additional research on sediment contamination, temporal analyses at each site, trophic transfer, and transcriptomic analyses across multiple organs to further elucidate PFAS toxicity mechanisms and guide remediation efforts.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.aquatox.2025.107499","usgsCitation":"Walsh, H.L., Blazer, V., Lord, E., Hurley, S.T., and LeBlanc, D.R., 2025, Occurrence and tissue distribution of per- and polyfluoroalkyl substances (PFAS) in fishes from waterbodies with point and non-point sources in Massachusetts, USA: Aquatic Toxicology, v. 287, 107499, 17 p., https://doi.org/10.1016/j.aquatox.2025.107499.","productDescription":"107499, 17 p.","ipdsId":"IP-179883","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":497990,"rank":0,"type":{"id":40,"text":"Open Access 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Emma","contributorId":358438,"corporation":false,"usgs":false,"family":"Lord","given":"Emma","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":943757,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hurley, Stephen T.","contributorId":138980,"corporation":false,"usgs":false,"family":"Hurley","given":"Stephen","email":"","middleInitial":"T.","affiliations":[{"id":12605,"text":"Mass Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":943758,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"LeBlanc, Denis R. 0000-0002-4646-2628","orcid":"https://orcid.org/0000-0002-4646-2628","contributorId":219907,"corporation":false,"usgs":true,"family":"LeBlanc","given":"Denis","email":"","middleInitial":"R.","affiliations":[{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":943759,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70269620,"text":"70269620 - 2025 - Hydrologic variability and groundwater age of springs in eastern Oregon and northern Nevada, USA","interactions":[],"lastModifiedDate":"2025-07-28T14:17:21.049353","indexId":"70269620","displayToPublicDate":"2025-07-20T09:10:13","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic variability and groundwater age of springs in eastern Oregon and northern Nevada, USA","docAbstract":"<p><span>The ecological importance of springs in semiarid regions is far greater than their small size and sparse distribution, yet little is known about the hydrologic functioning of these systems. During 2016–22, 261 springs were visited in the volcanic terrane of eastern Oregon and northern Nevada. When conditions were suitable, measurements of discharge, water temperature, and specific conductance were made, and samples for the analysis of carbon-14, tritium, and water stable isotopes (WSI) were collected. A subset of 60 springs was revisited during different seasons in the same year and during the dry season in multiple years to evaluate variability in discharge, chemistry, and groundwater age. Specific conductance and WSI varied considerably among springs across the study area but were unexpectedly stable across seasons and years at individual springs. Seasonal and interannual variability in spring discharge was related to the residence time of the discharging groundwater. Springs discharging older groundwater (10</span><sup>3</sup><span>–10</span><sup>4</sup><span>&nbsp;years) had significantly less variability in their discharge compared to springs discharging younger groundwater (10</span><sup>0</sup><span>–10</span><sup>1</sup><span>&nbsp;years). Variability among springs discharging younger groundwater included cessation of late-summer discharge at 18&nbsp;% of the repeat-visit springs. A logistic regression model predicted the age of discharging spring water with 89&nbsp;% accuracy using only the spring latitude, longitude, elevation, and δ</span><sup>2</sup><span>H value. This study framework provides a simple, inexpensive, and robust method to provisionally assess the hydrologic behavior of springs having little or no prior information in understudied, semiarid regions across the globe.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2025.133922","usgsCitation":"Johnson, H.M., 2025, Hydrologic variability and groundwater age of springs in eastern Oregon and northern Nevada, USA: Journal of Hydrology, v. 662, no. Part A, 133922, 13 p., https://doi.org/10.1016/j.jhydrol.2025.133922.","productDescription":"133922, 13 p.","ipdsId":"IP-123085","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":493312,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2025.133922","text":"Publisher Index Page"},{"id":492994,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada, Oregon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -120.31311680484953,\n              41.99539074875983\n            ],\n            [\n              -120.0068581722988,\n              41.99391273807197\n            ],\n            [\n              -119.90145747408332,\n              41.992434693061426\n            ],\n            [\n              -119.84179670150823,\n              41.66048803137227\n            ],\n            [\n              -118.9246520186846,\n              41.65959449142923\n            ],\n            [\n              -118.93301194332504,\n              41.98445357532694\n            ],\n            [\n              -117.02491929749873,\n              42.016929659002585\n            ],\n            [\n              -117.01355889504242,\n              43.86708893750037\n            ],\n            [\n              -116.91131527293696,\n              44.17343283492443\n            ],\n            [\n              -117.20668573679785,\n              44.30365776197061\n            ],\n            [\n              -117.26349474591721,\n              44.58751884415352\n            ],\n            [\n              -117.18671855238352,\n              44.79442609102742\n            ],\n            [\n              -117.77146876695777,\n              44.926186190521406\n            ],\n            [\n              -117.91090405154984,\n              44.91839177439985\n            ],\n            [\n              -117.97144831985975,\n              44.63186629043838\n            ],\n            [\n              -118.6664325411721,\n              44.37656025661704\n            ],\n            [\n              -119.868869617017,\n              44.396170474914186\n            ],\n            [\n              -121.12677954373844,\n              44.318586844969104\n            ],\n            [\n              -121.51042244069035,\n              42.944368334976076\n            ],\n            [\n              -121.28368996303429,\n              42.40400912273424\n            ],\n            [\n              -120.73802661060382,\n              42.42707264631977\n            ],\n            [\n              -120.26821317970226,\n              41.99741467441126\n            ],\n            [\n              -120.31311680484953,\n              41.99539074875983\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"662","issue":"Part A","noUsgsAuthors":false,"publicationDate":"2025-07-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Henry M. 0000-0002-7571-4994 hjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7571-4994","contributorId":869,"corporation":false,"usgs":true,"family":"Johnson","given":"Henry","email":"hjohnson@usgs.gov","middleInitial":"M.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":944189,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70268790,"text":"sir20255054 - 2025 - Hydrogeologic framework and conceptual model of the Red River alluvial aquifer east of Lake Texoma, southeastern Oklahoma, 1980–2022","interactions":[],"lastModifiedDate":"2026-02-03T14:29:12.653472","indexId":"sir20255054","displayToPublicDate":"2025-07-18T13:39:29","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5054","displayTitle":"Hydrogeologic Framework and Conceptual Model of the Red River Alluvial Aquifer East of Lake Texoma, Southeastern Oklahoma, 1980–2022","title":"Hydrogeologic framework and conceptual model of the Red River alluvial aquifer east of Lake Texoma, southeastern Oklahoma, 1980–2022","docAbstract":"<p>The 1973 Oklahoma Groundwater Law (Oklahoma Statutes §82-1020.5) requires that the Oklahoma Water Resources Board conduct hydrologic investigations of the State’s groundwater basins to support a determination of the maximum annual yield for each groundwater basin. At present (2025), the Oklahoma Water Resources Board has not established a maximum annual yield for the Red River alluvial aquifer east of Lake Texoma. To support the evaluation and determination of a maximum annual yield, a hydrogeologic framework and conceptual groundwater-flow model were developed to assess groundwater availability in the Red River alluvial aquifer east of Lake Texoma.</p><p>The scope of this hydrologic investigation is the alluvium and terrace containing the Red River alluvial aquifer in Oklahoma between Lake Texoma, the Texas State line, and the Arkansas State line, an extent referred to in this report as “the eastern part of the Red River alluvial aquifer.” Parts of the alluvium and terrace extent in Arkansas and Texas are included in some analyses to address hydrologic influences from outside the aquifer’s boundaries in Oklahoma.</p><p>The eastern part of the Red River alluvial aquifer in southeastern Oklahoma consists of approximately 401,280&nbsp;acres of Quaternary alluvium and terrace deposits associated with the Red River and its major tributaries. Mean annual recharge to the aquifer for the 1980–2022 study period was estimated to be 8.62 inches per year, or 17.98&nbsp;percent of the mean annual precipitation over the same period (47.94&nbsp;inches). This mean annual recharge rate is equivalent to an inflow of approximately 288,250 acre-feet per year for the eastern part of the Red River alluvial aquifer. Recharge estimated using the Soil-Water-Balance code accounts for 98.7 percent of the conceptual-model inflows to the eastern part of the Red River alluvial aquifer. Saturated-zone evapotranspiration accounts for 11.9 percent and net streambed seepage accounts for 87.4 percent of the outflows in the conceptual model.<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255054","issn":"2328-0328","collaboration":"Prepared in cooperation with the Oklahoma Water Resources Board","usgsCitation":"Codner, C., Gammill, N.C., Dale, I.A., Morris, A.S., Kirby, E.A., Graves, G.M., Fetkovich, E.J., Wagner, D.L., Sanford, J.E., and Baciocco, C.A., 2025, Hydrogeologic framework and conceptual model of the Red River alluvial aquifer east of Lake Texoma, southeastern Oklahoma, 1980–2022: U.S. Geological Survey Scientific Investigations Report 2025–5054, 46 p., https://doi.org/10.3133/sir20255054.","productDescription":"Report: x, 46 p.; Data Release","numberOfPages":"60","onlineOnly":"Y","ipdsId":"IP-149879","costCenters":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":494153,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118693.htm","linkFileType":{"id":5,"text":"html"}},{"id":491682,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1KUH5DS","text":"USGS Data Release","linkHelpText":"- Soil-Water-Balance model of the Red River alluvial aquifer east of Lake Texoma, southeastern Oklahoma, 1980–2022"},{"id":491681,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5054/sir20255054.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2025-5054 XML"},{"id":491680,"rank":4,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255054/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5054 HTML"},{"id":491677,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5054/coverthb.jpg"},{"id":491678,"rank":2,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5054/images"},{"id":491679,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5054/sir20255054.pdf","size":"19.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5054"}],"country":"United States","state":"Arkansas, Oklahoma, Texas","otherGeospatial":"Red River alluvial aquifer","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -96.6,\n              34.25\n            ],\n            [\n              -96.6,\n              33.45\n            ],\n            [\n              -94,\n              33.45\n            ],\n            [\n              -94,\n              34.25\n            ],\n            [\n              -96.6,\n              34.25\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/ot-water\" href=\"https://www.usgs.gov/centers/ot-water\">Oklahoma-Texas Water Science Center</a><br>U.S. Geological Survey<br>1505 Ferguson Lane<br>Austin, TX 78754–4501<br></p><p><a id=\"LPlnkOWAb30f03cb-e6c0-c412-988f-235c353ce0b0\" class=\"OWAAutoLink\" href=\"https://pubs.usgs.gov/contact\" data-auth=\"NotApplicable\" data-olk-copy-source=\"MailCompose\" data-mce-href=\"../contact\">Contact Us- USGS Publications Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Hydrogeology of the Eastern Part of the Red River Alluvial Aquifer</li><li>Hydrogeologic Framework</li><li>Conceptual Groundwater-Flow Model and Water Budget</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2025-07-18","noUsgsAuthors":false,"publicationDate":"2025-07-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Codner, Chloe 0009-0009-6577-8706","orcid":"https://orcid.org/0009-0009-6577-8706","contributorId":352321,"corporation":false,"usgs":true,"family":"Codner","given":"Chloe","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941982,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gammill, Nicole C. 0000-0003-3037-2668","orcid":"https://orcid.org/0000-0003-3037-2668","contributorId":328664,"corporation":false,"usgs":false,"family":"Gammill","given":"Nicole C.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":941983,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dale, Isaac A. 0000-0003-0844-0193","orcid":"https://orcid.org/0000-0003-0844-0193","contributorId":352322,"corporation":false,"usgs":true,"family":"Dale","given":"Isaac A.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941984,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morris, Amy S. 0000-0002-9847-5607","orcid":"https://orcid.org/0000-0002-9847-5607","contributorId":352415,"corporation":false,"usgs":true,"family":"Morris","given":"Amy S.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941985,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kirby, Ethan A. 0000-0001-7521-5477","orcid":"https://orcid.org/0000-0001-7521-5477","contributorId":352416,"corporation":false,"usgs":true,"family":"Kirby","given":"Ethan A.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941986,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Graves, Grant M. 0000-0002-4010-3253 ggraves@usgs.gov","orcid":"https://orcid.org/0000-0002-4010-3253","contributorId":177760,"corporation":false,"usgs":true,"family":"Graves","given":"Grant","email":"ggraves@usgs.gov","middleInitial":"M.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941987,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fetkovich, Evin J. 0000-0002-8899-8543","orcid":"https://orcid.org/0000-0002-8899-8543","contributorId":328666,"corporation":false,"usgs":true,"family":"Fetkovich","given":"Evin","email":"","middleInitial":"J.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941988,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wagner, Derrick L. 0000-0002-9291-7785","orcid":"https://orcid.org/0000-0002-9291-7785","contributorId":345145,"corporation":false,"usgs":false,"family":"Wagner","given":"Derrick","email":"","middleInitial":"L.","affiliations":[{"id":18135,"text":"Oklahoma Water Resources Board","active":true,"usgs":false}],"preferred":true,"id":941989,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sanford, Jon E.","contributorId":177763,"corporation":false,"usgs":false,"family":"Sanford","given":"Jon","email":"","middleInitial":"E.","affiliations":[{"id":18135,"text":"Oklahoma Water Resources Board","active":true,"usgs":false}],"preferred":false,"id":941990,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Baciocco, Colin A. 0000-0002-9548-9077","orcid":"https://orcid.org/0000-0002-9548-9077","contributorId":352323,"corporation":false,"usgs":true,"family":"Baciocco","given":"Colin A.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941991,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70273007,"text":"70273007 - 2025 - Spatiotemporal risk avoidance varies seasonally, relative to risk intensity, in a reestablishing predator–prey system","interactions":[],"lastModifiedDate":"2025-12-12T16:23:39.187411","indexId":"70273007","displayToPublicDate":"2025-07-16T10:18:19","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Spatiotemporal risk avoidance varies seasonally, relative to risk intensity, in a reestablishing predator–prey system","docAbstract":"<p><span>Predation establishes risk, which can indirectly influence prey behavior and ecology. We evaluated the influence of Mexican gray wolves (</span><i>Canis lupus baileyi</i><span>) on habitat selection and spatiotemporal predator avoidance strategies of elk (</span><i>Cervus canadensis</i><span>). We fit 866 adult female elk with GPS collars across areas of varying wolf densities within the Mexican wolf experimental population area of eastern Arizona and western New Mexico between 2019−2021. Using step-selection functions we examined relative intensity of elk use in relation to landscape attributes, estimated predator/prey diel activity, and measures of risk. Risk metrics included predicted wolf presence, habitat openness, and predicted risky places modeled from attributes of locations where wolves killed elk. Wolf activity varied across seasons and increased midday and night in fall and monsoon seasons. Relative use by elk was best explained by incorporating an interaction between diel period and predicted risky places across all seasons. Elk utilized risky places more in times of nutritional deficit associated with high energetic demands of the third trimester pregnancy and lactation and when forage quality was best, during spring and monsoon season. Particularly, use of risky places increased at less risky times in areas with more established wolf presence, suggesting use of risky places varied relative to exposure to Mexican wolves. These behaviors highlight the importance of temporal avoidance when predators and prey are highly mobile and largely overlap in space. Our research suggests temporally responding to predictable and relatively static environmental characteristics associated with encounter and kill rates may better balance energetic trade-offs than anticipating changes in wolf activity or spatially avoiding areas with higher wolf presence. Thus, elk appear to be more willing to take chances and mitigate cursorial predation risk with a more immediate, reactive approach and make proactive trade-offs during the seasons they can best increase fitness.</span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/fevo.2025.1613904","usgsCitation":"Thompson, C.J., Tatman, N.M., Farley, Z.J., Boyle, S.T., Greenleaf, A.R., and Cain, J.W., 2025, Spatiotemporal risk avoidance varies seasonally, relative to risk intensity, in a reestablishing predator–prey system: Frontiers in Ecology and Evolution, v. 13, 1613904, 17 p., https://doi.org/10.3389/fevo.2025.1613904.","productDescription":"1613904, 17 p.","ipdsId":"IP-178445","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":497705,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2025.1613904","text":"Publisher Index Page"},{"id":497479,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, New Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.32284903489135,\n              35.0948138550403\n            ],\n            [\n              -111.32284903489135,\n              32.96688100110357\n            ],\n            [\n              -106.60492292551181,\n              32.96688100110357\n            ],\n            [\n              -106.60492292551181,\n              35.0948138550403\n            ],\n            [\n              -111.32284903489135,\n              35.0948138550403\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"13","noUsgsAuthors":false,"publicationDate":"2025-07-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Thompson, Cara J.","contributorId":363878,"corporation":false,"usgs":false,"family":"Thompson","given":"Cara","middleInitial":"J.","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":952085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tatman, Nicole M.","contributorId":363881,"corporation":false,"usgs":false,"family":"Tatman","given":"Nicole","middleInitial":"M.","affiliations":[{"id":24672,"text":"New Mexico Department of Game and Fish","active":true,"usgs":false}],"preferred":false,"id":952086,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Farley, Zachary J.","contributorId":363884,"corporation":false,"usgs":false,"family":"Farley","given":"Zachary","middleInitial":"J.","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":952087,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boyle, Scott T.","contributorId":363887,"corporation":false,"usgs":false,"family":"Boyle","given":"Scott","middleInitial":"T.","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":952088,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Greenleaf, Allison R.","contributorId":363890,"corporation":false,"usgs":false,"family":"Greenleaf","given":"Allison","middleInitial":"R.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":952089,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":952090,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70269252,"text":"70269252 - 2025 - Using community-reported data to understand how boat speed affects marine wildlife: An example with the Florida manatee","interactions":[],"lastModifiedDate":"2025-07-17T14:30:00.754874","indexId":"70269252","displayToPublicDate":"2025-07-16T09:26:05","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9977,"text":"Ecological Solutions and Evidence","active":true,"publicationSubtype":{"id":10}},"title":"Using community-reported data to understand how boat speed affects marine wildlife: An example with the Florida manatee","docAbstract":"<ol class=\"\"><li>Boat collisions are a known and increasing threat to many marine wildlife populations. The Florida manatee<span>&nbsp;</span><i>Trichechus manatus latirostris</i><span>&nbsp;</span>is a key example of a species with high boat-related mortality, whose long-term viability and population are limited by human activities in shared habitats. The goal of this work was to quantify the probability of lethal injury to Florida manatees using community-reported data on collisions with boats. We test the hypothesis that higher boat speeds increase the probability of lethal injury to manatees. Empirical data to test this hypothesis are collected opportunistically, with low sample sizes and uncertainty in reported boat speed.</li><li>We fit a logistic regression model using Bayesian inference with Markov Chain Monte Carlo to community-reported collision data. We also present results for two errors-in-variables modelling approaches that account for uncertainty in boat speeds reported as qualitative values. The first uses a multiple imputation approach, whereas the second uses Bayesian estimation with informed priors. We evaluated issues related to quasi-separation, sample size, and measurement errors using simulated data.</li><li>The models predicted that the probability of lethal injury increased at greater strike speed. However, the small number of records with low boat speed or where the injury was considered non-lethal contributed to uncertainty around this functional relationship. Although the relationships were consistent among models, the uncertainty was greater for the errors-in-variables models.</li><li><i>Practical implication</i>. When combined with information on manatee and boat abundance and behaviour, the results of this analysis can be used to predict the number of deadly collisions, test alternative management scenarios and inform speed zone regulations. We also identify ways to improve data reporting to reduce uncertainty in the effect of boat speed on lethal injury to marine wildlife. This type of analysis can be applied to any marine animal where records of collisions with boats are kept.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1002/2688-8319.70058","usgsCitation":"Combs-Hintze, B., Hostetler, J.A., Calleson, C., Basset, B., Ainsworth, C., and Martin, J., 2025, Using community-reported data to understand how boat speed affects marine wildlife: An example with the Florida manatee: Ecological Solutions and Evidence, v. 6, no. 3, e70058, 11 p., https://doi.org/10.1002/2688-8319.70058.","productDescription":"e70058, 11 p.","ipdsId":"IP-158968","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":496942,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2688-8319.70058","text":"Publisher Index 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,{"id":70269944,"text":"70269944 - 2025 - Observability of eastern massasauga (Sistrurus catenatus) during visual encounter surveys in Michigan, USA","interactions":[],"lastModifiedDate":"2025-09-09T14:46:31.084228","indexId":"70269944","displayToPublicDate":"2025-07-11T10:16:04","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Observability of eastern massasauga (Sistrurus catenatus) during visual encounter surveys in Michigan, USA","docAbstract":"<p><span>Visual encounter surveys are commonly used to document site occupancy for the eastern massasauga (</span><i>Sistrurus catenatus</i><span>; EMR). Efficacy of surveys depends on visual and auditory cues, with basking behavior and burrow use strongly affecting detection. Our goal was to predict body exposure and probability of burrow use from telemetered EMR to better inform implementation of visual encounter surveys. We collected body exposure and burrow use from 23 EMR (14 females [12 gravid], 9 males) from April through September (i.e., active season) at 2 sites in south central Michigan, USA, 2020–2022. Average body exposure for observed snakes was 42% (SE = 3%) and ranged from 0–100%. Percent body exposure during the active season was positively influenced by air temperature, where body exposure increased from ~25% at ~15°C to ~50% at ~35°C. We did not find an effect of cloud cover, hour of day, humidity, or sex on EMR body exposure. Of 176 observations of EMR during the active season, we found EMR using burrows 20 times (~11% of observations). Julian date and air temperature affected the probability of EMR burrow use early in the active season. Probability of EMR burrow use was &lt;0.10 from the end of May through the end of October and was almost 0.00 after mid-July. The probability of using a burrow was generally low (i.e., &lt;0.25) across the range of air temperatures measured in our study, but approached 0.00 as temperatures exceeded 30°C. We did not find an effect of cloud cover, time of day, humidity, or sex on probability of EMR burrow use. Our results indicated that EMR observability in southern Michigan was greatest when air temperatures were 30°C to 35°C, corresponding to when EMR were visible and aboveground.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/wsb.1605","usgsCitation":"Rajewski, J., Gray, S., Grabarkiewicz, J., Campa III, H., and Roloff, G., 2025, Observability of eastern massasauga (Sistrurus catenatus) during visual encounter surveys in Michigan, USA: Wildlife Society Bulletin, v. 49, no. 3, e1605, 13 p., https://doi.org/10.1002/wsb.1605.","productDescription":"e1605, 13 p.","ipdsId":"IP-170976","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":493731,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":493809,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wsb.1605","text":"Publisher Index Page"}],"country":"United States","state":"Michigan","county":"Lenawee County, Oakland County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -85.80438918671523,\n              45.850110551993396\n            ],\n            [\n              -85.80438918671523,\n              41.734608493785004\n            ],\n            [\n              -82.97556503464779,\n              41.734608493785004\n            ],\n            [\n              -82.97556503464779,\n              45.850110551993396\n            ],\n            [\n              -85.80438918671523,\n              45.850110551993396\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"49","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-07-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Rajewski, Jillian","contributorId":359158,"corporation":false,"usgs":false,"family":"Rajewski","given":"Jillian","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":945003,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gray, Steven Michael 0000-0003-2731-4416","orcid":"https://orcid.org/0000-0003-2731-4416","contributorId":359159,"corporation":false,"usgs":true,"family":"Gray","given":"Steven Michael","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":945004,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grabarkiewicz, Jeffrey","contributorId":359160,"corporation":false,"usgs":false,"family":"Grabarkiewicz","given":"Jeffrey","affiliations":[{"id":85753,"text":"Michigan Department of Transportation","active":true,"usgs":false}],"preferred":false,"id":945005,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Campa III, Henry","contributorId":359164,"corporation":false,"usgs":false,"family":"Campa III","given":"Henry","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":945006,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roloff, Gary J.","contributorId":359166,"corporation":false,"usgs":false,"family":"Roloff","given":"Gary J.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":945007,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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