Extreme weather events, such as heatwaves, are becoming more frequent and intense as a result of climate change. Critically, such extreme weather events can be more important drivers of extirpation and selection than changes in annual or seasonal averages and they pose a particularly large threat to poikilothermic organisms. In this study, we evaluated the transcriptomic response of a coldwater adapted fish species, the eastern brook trout (Salvelinus fontinalis), to two successive heatwaves during July and August 2022. We sampled brook trout at eight time points from four streams (N = 116 fish), sequenced mRNA from gill samples using TagSeq, and quantified expression levels of 32,670 unique transcripts. Multivariate analyses found that overall expression patterns in response to water temperature change were similar among streams. These analyses further detected groups of genes involved in immune response and oxygen carrier activity that were upregulated and downregulated respectively at higher water temperatures. We also detected 43 genes that were differentially expressed at different time points and followed the same expression pattern during the two heatwaves. Of these genes, 42 covaried with water temperature and most (27, 62.8 %) exhibited responses that varied by stream. Some of the differentially expressed genes, including heat shock proteins and cold-inducible RNA binding proteins, have been widely linked to temperature responses in experimental studies, whereas other genes we identified have functions that have not been well-studied in relationship to temperature or have unknown functions. This study shows the utility of landscape transcriptomic approaches to identify important biological processes governing wild organismal responses to short-term stressors. The results of this study can guide future investigations to identify phenotypic and genetic diversity that contribute to adaptive responses to heatwaves and improve predictions of how populations will respond to future climate change.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2025.178960","usgsCitation":"Waraniak, J., Batchelor, S., Wagner, T., and Keagy, J., 2025, Landscape transcriptomic analysis detects thermal stress responses and potential adaptive variation in wild brook trout (Salvelinus fontinalis) during successive heatwaves: Science of Total Environment, v. 969, 178960, 16 p., https://doi.org/10.1016/j.scitotenv.2025.178960.","productDescription":"178960, 16 p.","ipdsId":"IP-172846","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":493808,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2025.178960","text":"Publisher Index Page"},{"id":493729,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","county":"Centre County, Huntingdon County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -77.92993465175924,\n 40.881082085248664\n ],\n [\n -77.92993465175924,\n 40.57251392307114\n ],\n [\n -77.16376958399,\n 40.57251392307114\n ],\n [\n -77.16376958399,\n 40.881082085248664\n ],\n [\n -77.92993465175924,\n 40.881082085248664\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"969","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Waraniak, Justin","contributorId":359192,"corporation":false,"usgs":false,"family":"Waraniak","given":"Justin","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":945038,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Batchelor, Sarah","contributorId":359193,"corporation":false,"usgs":false,"family":"Batchelor","given":"Sarah","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":945039,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":218091,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":945040,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Keagy, Jason","contributorId":359194,"corporation":false,"usgs":false,"family":"Keagy","given":"Jason","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":945041,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70264146,"text":"70264146 - 2025 - Avian influenza infection and antibodies not identified in eastern wild turkeys (Meleagris gallopavo silvestris) sampled on the Delmarva Peninsula","interactions":[],"lastModifiedDate":"2025-04-28T15:00:53.327484","indexId":"70264146","displayToPublicDate":"2025-02-28T08:56:36","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":948,"text":"Avian Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Avian influenza infection and antibodies not identified in eastern wild turkeys (Meleagris gallopavo silvestris) sampled on the Delmarva Peninsula","title":"Avian influenza infection and antibodies not identified in eastern wild turkeys (Meleagris gallopavo silvestris) sampled on the Delmarva Peninsula","docAbstract":"Although highly pathogenic avian influenza presents a notable threat to domestic turkeys (Meleagris gallopavo domesticus), there have been minimal infections identified in wild turkeys (Meleagris gallopavo) across the United States. Indeed, recent infections in wild turkeys have either been linked back to or suspected to be the result of spillback from nearby infected domestic turkeys. This study presents avian influenza sampling data for Eastern wild turkeys (Meleagris gallopavo silvestris) across the Maryland portion of the Delmarva Peninsula, in the winter of 2023–2024, with an objective of identifying any circulating influenza A viruses (IAVs), as well as determining the extent of previous exposure to IAVs in this population. We collected swab samples from 36 female wild turkeys. No IAV viral RNA was detected in any sample, based on real-time reverse transcriptase PCR. We collected sera from 31 of the 36 sampled individuals, all of which had biomimetic enzyme-linked immunosorbent assay (bELISA) S/N values >0.7 (range: 0.79–1.29) indicating a lack of antibodies to IAVs. Although our sample size is limited, these results indicate no evidence of current or recent previous IAV infection in sampled birds.
","language":"English","publisher":"Allen Press","doi":"10.1637/aviandiseases-D-24-00077","usgsCitation":"Sullivan, J.D., Harvey, J., Poulson, R., Stallknecht, D., Long, C., Driscoll, C.P., Prosser, D., and Mullinax, J.M., 2025, Avian influenza infection and antibodies not identified in eastern wild turkeys (Meleagris gallopavo silvestris) sampled on the Delmarva Peninsula: Avian Diseases, v. 69, no. 1, p. 2-5, https://doi.org/10.1637/aviandiseases-D-24-00077.","productDescription":"4 p.","startPage":"2","endPage":"5","ipdsId":"IP-171384","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":483047,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","county":"Dorchester County, Wicomico County, Worcester 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Robert","affiliations":[{"id":33964,"text":"Maryland Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":929946,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Driscoll, Cindy P.","contributorId":190850,"corporation":false,"usgs":false,"family":"Driscoll","given":"Cindy","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":929947,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"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":929948,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mullinax, Jennifer M.","contributorId":221170,"corporation":false,"usgs":false,"family":"Mullinax","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":929949,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70263997,"text":"70263997 - 2025 - A practical decision tool for marine bird mortality assessments","interactions":[{"subject":{"id":70263997,"text":"70263997 - 2025 - A practical decision tool for marine bird mortality assessments","indexId":"70263997","publicationYear":"2025","noYear":false,"title":"A practical decision tool for marine bird mortality assessments"},"predicate":"SUPERSEDED_BY","object":{"id":70275730,"text":"70275730 - 2026 - A practical decision tool for marine bird mortality assessments","indexId":"70275730","publicationYear":"2026","noYear":false,"title":"A practical decision tool for marine bird mortality assessments"},"id":1}],"supersededBy":{"id":70275730,"text":"70275730 - 2026 - A practical decision tool for marine bird mortality assessments","indexId":"70275730","publicationYear":"2026","noYear":false,"title":"A practical decision tool for marine bird mortality assessments"},"lastModifiedDate":"2026-05-26T15:10:55.285635","indexId":"70263997","displayToPublicDate":"2025-02-28T08:35:15","publicationYear":"2025","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":18754,"text":"EcoEvoRxiv","active":true,"publicationSubtype":{"id":32}},"title":"A practical decision tool for marine bird mortality assessments","docAbstract":"Given the rise in anthropogenic, environmental, and disease events contributing to marine bird mortality, there is a critical need to improve the rigor of mortality assessments. Deficits in data collection and mortality estimation can hinder a manager’s ability to document event scales and inform population level impacts. Therefore, to inform decisions required during activities such as conservation status assessments or harvest management, organizations may choose to incorporate mortality assessments into response plans. Resources, capacity, and assets to assess mortality vary across jurisdictions (federal, state, Indigenous, local, etc.), and clear guidance to support mortality assessments is often unavailable or not clearly addressed. Here, we present a decision support tool to help managers identify and evaluate survey options to assess bird mortality in a diverse array of scenarios. The objective of the decision tool is to improve data collection and availability which will increase the ability to robustly estimate mortality, given situation-specific attributes and constraints. This decision tool is designed to guide the response when a mortality event is initially encountered and offers suggestions for assessment and reporting procedures in the absence of other guidance or to complement existing protocols. The decision tool is also meant to inform decision making for response determination and resource allocation. The tool facilitates examination of options for further assessment and monitoring which users determine by examining questions pertaining to species prioritization, mortality spatial extent, and the potential magnitude of impacts on affected species. Finally, identification of appropriate survey methods, that address imperfect detection when a complete census is not possible, are determined by exploring location, spatial and temporal extent, and the type of species affected. Ultimately, this tool aims to facilitate and improve the standardization of mortality assessments, equipping managers with a practical resource to navigate the decision-making process for marine bird mortality estimation.
","language":"English","publisher":"EcoEvoRxiv","doi":"10.32942/X23S6R","usgsCitation":"Harvey, J., Ramey, A.M., Avery-Gomm, S., Robertson, G., Romano, M., Mullinax, J.M., Boldenow, M., Atkinson, P., and Prosser, D.J., 2025, A practical decision tool for marine bird mortality assessments: EcoEvoRxiv, https://doi.org/10.32942/X23S6R.","productDescription":"48 p.","ipdsId":"IP-168193","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":482790,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":487279,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.32942/x23s6r","text":"Publisher Index Page"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Harvey, Johanna Alexandra 0000-0003-4504-6777","orcid":"https://orcid.org/0000-0003-4504-6777","contributorId":351781,"corporation":false,"usgs":true,"family":"Harvey","given":"Johanna Alexandra","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":929443,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":929444,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Avery-Gomm, Stephanie","contributorId":213093,"corporation":false,"usgs":false,"family":"Avery-Gomm","given":"Stephanie","email":"","affiliations":[{"id":12552,"text":"University of Queensland","active":true,"usgs":false}],"preferred":false,"id":929445,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robertson, Gregory","contributorId":331077,"corporation":false,"usgs":false,"family":"Robertson","given":"Gregory","affiliations":[],"preferred":false,"id":929446,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Romano, Marc","contributorId":200806,"corporation":false,"usgs":false,"family":"Romano","given":"Marc","affiliations":[],"preferred":false,"id":929447,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mullinax, Jennifer M.","contributorId":221170,"corporation":false,"usgs":false,"family":"Mullinax","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":929448,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Boldenow, Megan","contributorId":169336,"corporation":false,"usgs":false,"family":"Boldenow","given":"Megan","affiliations":[],"preferred":false,"id":929449,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Atkinson, Philip W.","contributorId":295425,"corporation":false,"usgs":false,"family":"Atkinson","given":"Philip W.","affiliations":[{"id":38864,"text":"British Trust for Ornithology","active":true,"usgs":false}],"preferred":false,"id":929450,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Prosser, Diann J. 0000-0002-5251-1799","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":221167,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":929451,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70263777,"text":"70263777 - 2025 - Cancer risk and estimated lithium exposure in drinking groundwater in the US","interactions":[],"lastModifiedDate":"2025-02-24T15:22:49.778702","indexId":"70263777","displayToPublicDate":"2025-02-20T09:17:26","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":20081,"text":"JAMA Network Open","active":true,"publicationSubtype":{"id":10}},"title":"Cancer risk and estimated lithium exposure in drinking groundwater in the US","docAbstract":"Importance Lithium is a naturally occurring element in drinking water and is commonly used as a mood-stabilizing medication. Although clinical studies have reported associations between receiving lithium treatment and reduced cancer risk among patients with bipolar disorder, to our knowledge, the association between environmental lithium exposure and cancer risk has never been studied in the general population.
Objectives To evaluate the association between exposure to lithium in drinking groundwater and cancer risk in the general population.
Design, Setting, and Participants This cohort study included participants with electronic health record and residential address information but without cancer history at baseline from the All of Us Research Program between May 31, 2017, and June 30, 2022. Participants were followed up until February 15, 2023. Statistical analysis was performed from September 2023 through October 2024.
Exposure Lithium concentration in groundwater, based on kriging interpolation of publicly available US Geological Survey data on lithium concentration for 4700 wells across the contiguous US between May 12, 1999, and November 6, 2018.
Main Outcome and Measures The main outcome was cancer diagnosis or condition, obtained from electronic health records. Stratified Cox proportional hazards regression models were used to estimate the hazard ratios (HRs) and 95% CIs for risk of cancer overall and individual cancer types for increasing quintiles of the estimated lithium exposure in drinking groundwater, adjusting for socioeconomic, behavioral, and neighborhood-level variables. The analysis was further conducted in the western and eastern halves of the US and restricted to long-term residents living at their current address for at least 3 years.
Results A total of 252 178 participants were included (median age, 52 years [IQR, 36-64 years]; 60.1% female). The median follow-up time was 3.6 years (IQR, 3.0-4.3 years), and 7573 incident cancer cases were identified. Higher estimated lithium exposure was consistently associated with reduced cancer risk. Compared with the first (lowest) quintile of lithium exposure, the HR for all cancers was 0.49 (95% CI, 0.31-0.78) for the fourth quintile and 0.29 (95% CI, 0.15-0.55) for the fifth quintile. These associations were found for all cancer types investigated in both females and males, among long-term residents, and in both western and eastern states. For example, for the fifth vs first quintile of lithium exposure for all cancers, the HR was 0.17 (95% CI, 0.07-0.42) in females and 0.13 (95% CI, 0.04-0.38) in males; for long-term residents, the HR was 0.32 (95% CI, 0.15-0.66) in females and 0.24 (95% CI, 0.11-0.52) in males; and the HR was 0.01 (95% CI, 0.00-0.09) in western states and 0.34 (95% CI, 0.21-0.57) in eastern states.
Conclusions and Relevance In this cohort study of 252 178 participants, estimated lithium exposure in drinking groundwater was associated with reduced cancer risk. Given the sparse evidence and unknown mechanisms of this association, follow-up investigation is warranted.
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Liange","contributorId":209333,"corporation":false,"usgs":false,"family":"Zheng","given":"Liange","email":"","affiliations":[],"preferred":false,"id":928229,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jin, Zhihao","contributorId":351224,"corporation":false,"usgs":false,"family":"Jin","given":"Zhihao","affiliations":[{"id":40432,"text":"Emory University","active":true,"usgs":false}],"preferred":false,"id":928230,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yang, Yuqing","contributorId":351225,"corporation":false,"usgs":false,"family":"Yang","given":"Yuqing","affiliations":[{"id":36705,"text":"University of Chicago","active":true,"usgs":false}],"preferred":false,"id":928231,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Krakowka, William I.","contributorId":351226,"corporation":false,"usgs":false,"family":"Krakowka","given":"William I.","affiliations":[{"id":36705,"text":"University of 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Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Range-wide ecology, conservation, and research needs for yellow lampmussel (Lampsilis cariosa)","docAbstract":"The freshwater mussel yellow lampmussel (Lampsilis cariosa) is declining throughout its range along the Atlantic Slope of the eastern United States and Canada, and the species is a target for proactive conservation to avoid federal listing. This paper synthesizes information about the ecology (physiology and life history, host fishes, and habitat), species distribution, genetics, and threats to L. cariosa. Identified threats include climate change, habitat alteration, and invasive species, dependent on location. We outline 16 emergent research and conservation management needs based on literature review and discussion with stakeholders (state and federal mussel biologists, researchers, and tribal groups). These needs range from research on the basic physiology and behavior of the species, to creating standardized protocols for surveys and DNA sampling, to ultimately developing a range-wide species conservation and restoration plan. Addressing these information gaps and incorporating the findings into future management may facilitate the implementation and success of large-scale restoration and conservation initiatives such as habitat protection and reintroduction of L. cariosa to historical locations.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s10750-024-05765-2","usgsCitation":"Farrington, S., Murphy, C.A., Perkins, D., and Roy, A.H., 2025, Range-wide ecology, conservation, and research needs for yellow lampmussel (Lampsilis cariosa): Hydrobiologia, v. 852, p. 2729-2754, https://doi.org/10.1007/s10750-024-05765-2.","productDescription":"26 p.","startPage":"2729","endPage":"2754","ipdsId":"IP-165902","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":492476,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10750-024-05765-2","text":"Publisher Index Page"},{"id":492135,"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 -79.2116373830845,\n 44.09913691401181\n ],\n [\n -80.50374108682163,\n 41.85845354508396\n ],\n [\n -80.99912161104155,\n 39.63960771569129\n ],\n [\n -82.43337791555581,\n 37.77339486928925\n ],\n [\n -85.76310658933828,\n 33.88933798331024\n ],\n [\n -84.74697530374709,\n 30.712478092443988\n ],\n [\n -79.6611750181294,\n 30.848363324108078\n ],\n [\n -59.414970432845266,\n 46.31029094614682\n ],\n [\n -64.10136367360452,\n 49.62997543691469\n ],\n [\n -79.2116373830845,\n 44.09913691401181\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"852","noUsgsAuthors":false,"publicationDate":"2025-02-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Farrington, Stefanie J.","contributorId":357879,"corporation":false,"usgs":false,"family":"Farrington","given":"Stefanie J.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":942736,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murphy, Christina Amy 0000-0002-3467-6610","orcid":"https://orcid.org/0000-0002-3467-6610","contributorId":335232,"corporation":false,"usgs":true,"family":"Murphy","given":"Christina","email":"","middleInitial":"Amy","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":942737,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perkins, David","contributorId":340494,"corporation":false,"usgs":false,"family":"Perkins","given":"David","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":942738,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roy, Allison H. 0000-0002-8080-2729 aroy@usgs.gov","orcid":"https://orcid.org/0000-0002-8080-2729","contributorId":4240,"corporation":false,"usgs":true,"family":"Roy","given":"Allison","email":"aroy@usgs.gov","middleInitial":"H.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":942739,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70269931,"text":"70269931 - 2025 - Current distribution of the nine-banded armadillo (Dasypus novemcinctus) in the United States","interactions":[],"lastModifiedDate":"2025-08-07T15:03:38.484781","indexId":"70269931","displayToPublicDate":"2025-02-19T09:55:37","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1398,"text":"Diversity","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Current distribution of the nine-banded armadillo (Dasypus novemcinctus) in the United States","title":"Current distribution of the nine-banded armadillo (Dasypus novemcinctus) in the United States","docAbstract":"The nine-banded armadillo (Dasypus novemcinctus: hereafter armadillo) was first recorded in the United States (U.S.) in the state of Texas in 1849 and has been expanding its range northward and eastward since then. With the widespread adoption of participatory science as well as the proliferation of nationwide wildlife game camera studies, occurrence data of armadillos can be compiled more rapidly and thoroughly than at any time in the past. Here, we use disparate data sources to update the current geographic distribution of the armadillo in the United States and use occurrence data from the leading edge of its range expansion to create a species distribution model to understand their relationship with landscape and bioclimatic factors. Since the last report on the geographic distribution of the armadillo in 2014, we show that armadillos have expanded to cover the entirety of Missouri and established in southern Iowa, expanded modestly within Kansas and Illinois, expanded northward and eastward in Indiana, expanded eastward in both Kentucky and Tennessee, established throughout the entirety of South Carolina and Georgia and established in the western third of North Carolina. Our species distribution model indicates that there is substantial opportunity for the species to continue to expand its geographic range, particularly in the Eastern United States. These results provide information to managers who are now or might soon be co-existing with the armadillo to proactively manage the species or inform the public regarding potential conflicts.
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The Black and White tegu (Salvator merianae) has become established in several Florida counties and its spread is of significant conservation concern. It is of high priority for state and federal managers to prevent the spread into sensitive ecosystems, including the Greater Everglades. Thus, coordinated EDRR efforts are essential given limited infrastructure and funding for such tasks. While tegus have been observed along the eastern boundary of Everglades National Park, there has been no evidence tegus are established within Big Cypress National Preserve. On 8 August 2024 an individual tegu was sighted by a U.S. Geological Survey (USGS) biologist in Big Cypress National Preserve who alerted National Park Service (NPS) staff and mobilized a response. Live traps were placed at the location of sighting within 24 hours and an individual tegu was captured on 13 August 2024. The individual tegu was determined to be the same individual that was observed five days early based on color, pattern, and other physical characteristics. No additional tegus were captured. The rapid, coordinated response of NPS and USGS likely contributed to this successful EDRR event, and highlights the need for more expansive EDRR frameworks at multiple jurisdictional scales.","language":"English","publisher":"The Regional Euro-Asian Biological Invasions Centre (REABIC)","doi":"10.3391/mbi.2025.16.2.15","usgsCitation":"Sandfoss, M.R., Kissel, A.M., McBride, L.M., Metcalf, M., Sherburne, S., Mangione, T., McCollister, M., and Yackel Adams, A.A., 2025, An early detection rapid response case study of the Black and White Tegu (Salvator merianae) and implications for a broader framework: Management of Biological Invasions, v. 16, no. 2, p. 581-591, https://doi.org/10.3391/mbi.2025.16.2.15.","productDescription":"11 p.","startPage":"581","endPage":"591","ipdsId":"IP-170561","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":490663,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2025.16.2.15","text":"Publisher Index Page"},{"id":489453,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"south Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.46866453957387,\n 27.16060350540674\n ],\n [\n -82.46866453957387,\n 24.9925626851346\n ],\n [\n -79.72039698185677,\n 24.9925626851346\n ],\n [\n -79.72039698185677,\n 27.16060350540674\n ],\n [\n -82.46866453957387,\n 27.16060350540674\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"16","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sandfoss, Mark Robert 0000-0002-0162-7265","orcid":"https://orcid.org/0000-0002-0162-7265","contributorId":328884,"corporation":false,"usgs":true,"family":"Sandfoss","given":"Mark","email":"","middleInitial":"Robert","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":939007,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kissel, Amanda Marie 0000-0002-6346-7455","orcid":"https://orcid.org/0000-0002-6346-7455","contributorId":334356,"corporation":false,"usgs":true,"family":"Kissel","given":"Amanda","email":"","middleInitial":"Marie","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":939008,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McBride, Lisa Marie 0000-0003-4558-5391","orcid":"https://orcid.org/0000-0003-4558-5391","contributorId":303824,"corporation":false,"usgs":true,"family":"McBride","given":"Lisa","email":"","middleInitial":"Marie","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":939009,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Metcalf, Matthew Fox 0000-0002-5413-5192","orcid":"https://orcid.org/0000-0002-5413-5192","contributorId":356279,"corporation":false,"usgs":true,"family":"Metcalf","given":"Matthew Fox","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":939010,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sherburne, Sarah Rae 0000-0002-2351-769X","orcid":"https://orcid.org/0000-0002-2351-769X","contributorId":356280,"corporation":false,"usgs":true,"family":"Sherburne","given":"Sarah Rae","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":939011,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mangione, Travis R.","contributorId":356281,"corporation":false,"usgs":false,"family":"Mangione","given":"Travis R.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":939012,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McCollister, Matthew","contributorId":302902,"corporation":false,"usgs":false,"family":"McCollister","given":"Matthew","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":939013,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Yackel Adams, Amy A. 0000-0002-7044-8447 yackela@usgs.gov","orcid":"https://orcid.org/0000-0002-7044-8447","contributorId":3116,"corporation":false,"usgs":true,"family":"Yackel Adams","given":"Amy","email":"yackela@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":939014,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70268813,"text":"70268813 - 2025 - Multispectral red-edge indices accurately estimate nitrogen content in winter cereal cover crops","interactions":[],"lastModifiedDate":"2025-07-08T16:10:56.678715","indexId":"70268813","displayToPublicDate":"2025-02-16T09:05:11","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":684,"text":"Agronomy Journal","active":true,"publicationSubtype":{"id":10}},"title":"Multispectral red-edge indices accurately estimate nitrogen content in winter cereal cover crops","docAbstract":"Winter cover crops reduce erosion and nutrient runoff from agricultural systems. Although cereal cover crops can decrease field nitrate leaching by 50%–95%, the magnitude of this reduction varies within and between fields, making it challenging to monitor the impact of cover crops on nitrate leaching at large spatial extents. Satellite remote sensing using red-edge bands has been shown to effectively estimate crop nitrogen (N) content (kg ha−1) in later growth-stage crops with a closed canopy. In this study, we evaluated 15 spectral indices derived from Sentinel-2 imagery to estimate N concentration (%) and content (kg ha−1) of cereal cover crops, using 1627 destructive samples collected from 2018 to 2023 in Maryland. Observed N content ranged from 0.1 to 214.7 kg ha−1, while N concentration ranged from 0.6% to 5.5%. The 15 indices considered were poor predictors of N concentration (adj. R2 = 0.089, root mean squared error [RMSE] = 0.802%), but were more successful at measuring N content (biomass × N concentration). Delta red-edge (ΔRE) was the best predictor of N content (adj. R2 = 0.748, RMSE = 13.10 kg ha−1 from cross-validation with 80% train and 20% test splits iterated 100 times) using samples with imagery collected within ±4 days of destructive sampling (n = 1110). Our findings indicate that longer red-edge wavelengths (783 and 740 nm) are more suited for estimating N content in cereal cover crops compared to shorter red-edge wavelengths, which have been shown to be more sensitive to biomass. Leave-one-year-out cross-validation demonstrated that the relationship between ΔRE and N content was robust across all four cover crop sampling years included in the study (adj. R2 = 0.700–0.769, RMSE = 10.70–15.40 kg ha−1). Regression model performance improved with the addition of multiple predictors, including biomass (estimated from Normalized Difference Vegetation Index), weather variables (adj. R2 = 0.765, RMSE = 12.37 kg ha−1), management variables (species, season, adj. R2 = 0.772, and RMSE = 12.13 kg ha−1), and biophysical variables (height, fractional ground cover, adj. R2 = 0.818, and RMSE = 10.29 kg ha−1). These findings demonstrate the feasibility of quantifying N content in cereal cover crops using a red-edge-based spectral index across large geographic extents and indicate the inclusion of additional predictors, such as weather and management data, improves model accuracy. This work has implications for quantifying reductions in N leaching associated with cover crops, aiding in policymaking and evaluation of conservation programs that impact water bodies such as Chesapeake Bay.
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However, geothermal potential across the Great Basin region is thought to be much higher for hidden or blind geothermal systems. Accordingly, exploration techniques that can locate geothermal resources that lack surface thermal features could support future development of these systems. The goal of the INGENIOUS project is to reduce exploration risk and discover new, economically viable hidden geothermal systems in the Great Basin region. This paper summarizes the efforts and preliminary results of blind geothermal resource prospecting in Utah as part of the larger INGENIOUS project. The Lund North site in the Basin and Range province of southwest Utah was designated as the fourth detailed study site for the project. The site was initially identified from the preliminary Play Fairway Analysis (PFA) geothermal favorability map, which is based on various data elements, and the identification of favorable structural settings across Utah. This site contains existing legacy data including a thermal gradient borehole with a heat-flow value exceeding 220 mW/m2. New data collected at this site include terrestrial gravity, magnetotellurics, transient electromagnetics, fluid geochemistry, geologic mapping, UAV-based lidar, paleomagnetism, aeromagnetic surveys, and a shallow temperature survey. Preliminary data and model interpretations corroborate the presence of a large, east-dipping, northeast-southwest-trending normal fault on the edge of a typical Basin and Range graben. Quaternary fault mapping refined by high-resolution lidar surveys suggests a complex step over fault geometry. Utilizing multi-disciplinary datasets for further site assessment at Lund North will facilitate the development of a local-scale PFA and geothermal conceptual model. This new data will be used to site successive thermal gradient drilling to verify heat flow with temperatures at depth at the Lund North site and further investigate the existence of a local geothermal system.
","largerWorkTitle":"Proceedings, 50th workshop on geothermal reservoir engineering","conferenceTitle":"50th Workshop on Geothermal Reservoir Engineering","conferenceDate":"February 10-12, 2025","conferenceLocation":"Stanford, CA","language":"English","publisher":"Stanford University","usgsCitation":"Hardwick, C.L., Szymanski, E., Hart-Wagoner, N.R., Ashton, S., Christensen, N., Earney, T.E., Faulds, J.E., Glen, J.M., Hiscock, A., Kirby, S., Knudsen, T., Kobe, S., Lindsey, C.R., Morbeck, B., Peacock, J., Rea-Downing, G.H., Schermerhorn, W.D., and Smith, K., 2025, Exploration for blind geothermal systems in the eastern Great Basin of Utah: An update on the “Lund North” INGENIOUS detailed study site, in Proceedings, 50th workshop on geothermal reservoir engineering, v. 50, Stanford, CA, February 10-12, 2025, 14 p.","productDescription":"14 p.","ipdsId":"IP-174820","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science 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Felt reports from local residents were the only available information about the swarm when it started, as American Samoa lacked a seismic monitoring network. We developed a consistent single-station catalog for the entire swarm, using seismic data from the nearest station IU.AFI, ~250 km away. We applied the EQTransformer deep-learning model (Mousavi et al., 2020), automatically picking Pn and Sn arrivals on IU.AFI continuous data. We retained only events with Sn-Pn times of 22.5–25 seconds, consistent with the expected locations based on felt reports, then detected smaller swarm events with subsequent template-matching. This single-station catalog characterized the swarm’s onset and escalation to peak activity before a multi-agency field response team installed a local seismic network in mid-August 2022. This permanent seismic network captured the swarm’s decline. EQTransformer identified short S-P times on the first two locally deployed seismometers, both Raspberry Shake sensors, to constrain the swarm’s distance from Taʻū Island. Modern seismological processing methods, combined with basic observations such as felt reports, can quickly contribute useful information during an earthquake response in a poorly monitored region.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0320240040","usgsCitation":"Yoon, C., Skoumal, R., Michael, A.J., Jolly, A., Ellis, A.P., Downs, D.T., Dotray, P., Deligne, N.I., Chang, J., Bennington, N.L., Wech, A., Haney, M.M., Hotovec-Ellis, A.J., Lutu-McMoore, E., and Langkilde, M., 2025, Remote single-station seismic monitoring of the July–October 2022 earthquake swarm at Tau volcano, American Samoa: The Seismic Record, v. 5, no. 1, p. 83-96, https://doi.org/10.1785/0320240040.","productDescription":"14 p.","startPage":"83","endPage":"96","ipdsId":"IP-170130","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":487646,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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0000-0003-1917-0205","orcid":"https://orcid.org/0000-0003-1917-0205","contributorId":211785,"corporation":false,"usgs":true,"family":"Hotovec-Ellis","given":"Alicia","email":"","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":927475,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Lutu-McMoore, Elinor","contributorId":341954,"corporation":false,"usgs":false,"family":"Lutu-McMoore","given":"Elinor","email":"","affiliations":[{"id":81814,"text":"NOAA National Weather Service Pago Pago Office","active":true,"usgs":false}],"preferred":false,"id":927476,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Langkilde, Marcus","contributorId":350957,"corporation":false,"usgs":false,"family":"Langkilde","given":"Marcus","affiliations":[{"id":83889,"text":"NOAA NWS Pago Pago","active":true,"usgs":false}],"preferred":false,"id":927477,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70264978,"text":"70264978 - 2025 - Local, regional, and distal recordings of seismic unrest at Tau Island volcano, American Samoa","interactions":[],"lastModifiedDate":"2025-03-27T15:18:39.378071","indexId":"70264978","displayToPublicDate":"2025-02-13T08:09:26","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Local, regional, and distal recordings of seismic unrest at Tau Island volcano, American Samoa","docAbstract":"A seismic swarm near Taʻū Island, a volcanic island in eastern American Samoa, occurred from July to October 2022. The earliest unrest was noted as felt shaking reports in late July, and instrumentation varied in the beginning of the sequence as the U.S. Geological Survey (USGS) Hawaiian Volcano Observatory responded by installing temporary and then permanent seismometers to monitor the activity. This network variability made it difficult to characterize the earliest seismicity and contextualize the entire sequence to discriminate between an underlying tectonic or volcanic source. Here, we present results analyzing hydroacoustic detections from an International Monitoring System hydrophone array near Wake Island, 4500 km northwest of Taʻū Island volcano. Using least-squares beamforming analysis, we create a catalog of T-wave detections from the direction of Taʻū Island to track the earthquakes, some of which were located by the USGS National EarthquakeInformation Center. Both the rate and hydroacoustic pressures, which we interpret as a proxy for earthquake size, gradually increased from late July to August, peaking on August 19 (rate) and August 24 (size), before decreasing to background in late September. Minutes-long bursts of tremor were also contemporaneously recorded as local network data became avail-able on August 20. Tremor activity continued throughout the rest of August, peaking on August 25, before ending in earlySeptember. These tremor bursts were band-limited to ~ 1–5 Hz and recorded as S waves at a regional station on the island of Upolu in Samoa, 250 km to the west of Taʻū Island. Our results do not constrain the tremor locations, but comparisons of earthquake and tremor reduced displacements recorded locally and regionally suggest a deeper tremor source. We interpret the increase in earthquake size and rate, together with the occurrence, characteristics, and relative depth of the tremor to be the result of magmatic activity beneath Taʻū Island volcano.","language":"English","publisher":"Springer Nature","doi":"10.1007/s00445-025-01798-0","usgsCitation":"Wech, A., Haney, M.M., Chang, J., Jolly, A., Yoon, C., and Skoumal, R.J., 2025, Local, regional, and distal recordings of seismic unrest at Tau Island volcano, American Samoa: Bulletin of Volcanology, v. 87, 15, 15 p., https://doi.org/10.1007/s00445-025-01798-0.","productDescription":"15, 15 p.","ipdsId":"IP-172244","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":483947,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"American Samoa, Taʻū Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -169.53339284390117,\n -14.197912338111138\n ],\n [\n -169.53339284390117,\n -14.283297461659885\n ],\n [\n -169.4061487117877,\n -14.283297461659885\n ],\n [\n -169.4061487117877,\n -14.197912338111138\n ],\n [\n -169.53339284390117,\n -14.197912338111138\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"87","noUsgsAuthors":false,"publicationDate":"2025-02-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Wech, Aaron 0000-0003-4983-1991","orcid":"https://orcid.org/0000-0003-4983-1991","contributorId":202561,"corporation":false,"usgs":true,"family":"Wech","given":"Aaron","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":932148,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haney, Matthew M. 0000-0003-3317-7884 mhaney@usgs.gov","orcid":"https://orcid.org/0000-0003-3317-7884","contributorId":172948,"corporation":false,"usgs":true,"family":"Haney","given":"Matthew","email":"mhaney@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":932149,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chang, Jefferson 0000-0002-1258-589X","orcid":"https://orcid.org/0000-0002-1258-589X","contributorId":215608,"corporation":false,"usgs":true,"family":"Chang","given":"Jefferson","email":"","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":932150,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jolly, A.D. 0000-0003-1020-9062","orcid":"https://orcid.org/0000-0003-1020-9062","contributorId":296487,"corporation":false,"usgs":true,"family":"Jolly","given":"A.D.","email":"","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":932151,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":932152,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Skoumal, Robert J. 0000-0002-5627-6239 rskoumal@usgs.gov","orcid":"https://orcid.org/0000-0002-5627-6239","contributorId":191213,"corporation":false,"usgs":true,"family":"Skoumal","given":"Robert","email":"rskoumal@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":932153,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70263819,"text":"70263819 - 2025 - Long-term trends in microseismicity during operational shut-ins at the Coso Geothermal Field, California","interactions":[],"lastModifiedDate":"2025-02-25T15:34:45.908287","indexId":"70263819","displayToPublicDate":"2025-02-10T08:29:43","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10542,"text":"The Seismic Record","active":true,"publicationSubtype":{"id":10}},"title":"Long-term trends in microseismicity during operational shut-ins at the Coso Geothermal Field, California","docAbstract":"Pausing injection and production can lead to induced seismicity in a variety of settings, with some of the largest events occurring during these so-called shut-ins. In geothermal fields, shut-ins are periodically conducted for maintenance on wells and surface infrastructure, thereby offering recurring means of estimating stress changes in the subsurface that lead to increased seismicity rates. Here, we examine daily production and microseismicity data from the Coso Geothermal Field (CGF) in California between 1996 and 2010 to investigate the repetitive trends of operational shut-in microseismicity. Using 24 local seismic stations, we first analyze spatial and temporal trends of over 60,000 earthquakes with magnitudes between -0.4 to 3.8. We find that the northern region exhibits no significant seismicity changes during shut-ins, whereas the rest of the field experiences induced seismicity during almost every shut-in with an increasing intensity towards the southern and eastern portions of the field, highlighting local differences in stress within the CGF. Additionally, we cluster the seismicity using waveform cross-correlation, revealing several earthquake clusters primarily occurring during shut-in periods. These observations suggest that certain fracture and fault sections respond quicker to changes in pore pressure and poroelastic stresses within the geothermal system, possibly highlighting main fluid pathways.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0320240041","usgsCitation":"Holmgren, J., Kaven, J., and Oye, V., 2025, Long-term trends in microseismicity during operational shut-ins at the Coso Geothermal Field, California: The Seismic Record, v. 5, no. 1, p. 73-82, https://doi.org/10.1785/0320240041.","productDescription":"10 p.","startPage":"73","endPage":"82","ipdsId":"IP-170795","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":487678,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0320240041","text":"Publisher Index Page"},{"id":482446,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Coso Geothermal Field","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.93842593182427,\n 36.34881073898275\n ],\n [\n -117.93842593182427,\n 36.12479363858705\n ],\n [\n -117.62601162670973,\n 36.12479363858705\n ],\n [\n -117.62601162670973,\n 36.34881073898275\n ],\n [\n -117.93842593182427,\n 36.34881073898275\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"5","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-02-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Holmgren, Joanna","contributorId":351460,"corporation":false,"usgs":false,"family":"Holmgren","given":"Joanna","affiliations":[{"id":18074,"text":"NORSAR","active":true,"usgs":false}],"preferred":false,"id":928536,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kaven, J. Ole 0000-0003-2625-2786 okaven@usgs.gov","orcid":"https://orcid.org/0000-0003-2625-2786","contributorId":3993,"corporation":false,"usgs":true,"family":"Kaven","given":"J. Ole","email":"okaven@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":928537,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oye, Volker","contributorId":194795,"corporation":false,"usgs":false,"family":"Oye","given":"Volker","email":"","affiliations":[],"preferred":false,"id":928538,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70264040,"text":"70264040 - 2025 - Highly pathogenic avian influenza virus H5N1 in double-crested cormorants (Nannopterum auritum) of the Chesapeake Bay, USA","interactions":[],"lastModifiedDate":"2025-05-28T14:49:29.252868","indexId":"70264040","displayToPublicDate":"2025-02-06T08:00:32","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Highly pathogenic avian influenza virus H5N1 in double-crested cormorants (Nannopterum auritum) of the Chesapeake Bay, USA","docAbstract":"Double-crested Cormorants (Nannopterum auritum) have historically exhibited low levels of infection and antibodies to avian influenza virus (AIV). The recent global expansion of clade 2.3.4.4b A/goose/Guangdong/1/1996 highly pathogenic (HP) avian influenza virus H5N1 (HPAI H5N1) has resulted in large-scale mortalities across diverse waterbird taxa including cormorants. We sampled 32 and 29 Double-crested Cormorants breeding in the Chesapeake Bay, US, during the summers of 2023 and 2024, respectively, to assess HPAI H5N1 infection and AIV antibodies. Although no mortality was observed in the area, one bird sampled in 2023 was infected with HPAI H5N1. Additionally, 21/31 individuals in 2023 and 10/25 individuals in 2024 for which sera were collected had AIV antibodies. Based on additional testing using hemagglutination inhibition, virus neutralization, and an enzyme-linked lectin assay, 94 and 100% (2023 and 2024, respectively) of the seropositive birds tested positive for antibodies to both H5 and N1, suggesting previous infection with HPAI H5N1. These results are consistent with survival and limited clinical effects related to HPAI H5N1 infections. Furthermore, these results suggest that population immunity to HPAI H5N1 within the Chesapeake Bay might reduce future infections and potential population impacts should HP H5N1 remain on the landscape, though immunity may be waning across time. Because results are based on a single population, additional testing for both infection and antibodies as well as continued monitoring could enhance understanding of antibody persistence.
","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/jwd-d-24-00111","usgsCitation":"Harvey, J., Sullivan, J., Poulson, R., Carter, D.L., Driscoll, C.P., McGowan, P.C., Callahan, C.R., O'Donnell, A., Mullinax, J.M., Stallknecht, D., and Prosser, D.J., 2025, Highly pathogenic avian influenza virus H5N1 in double-crested cormorants (Nannopterum auritum) of the Chesapeake Bay, USA: Journal of Wildlife Diseases, v. 61, no. 2, p. 348-356, https://doi.org/10.7589/jwd-d-24-00111.","productDescription":"9 p.","startPage":"348","endPage":"356","ipdsId":"IP-166564","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":482915,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Virginia","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75.8702033385699,\n 39.65270512692044\n ],\n [\n -76.71510396799904,\n 39.65270512692044\n ],\n [\n -76.71510396799904,\n 36.82223050001578\n ],\n [\n -75.8702033385699,\n 36.82223050001578\n ],\n [\n -75.5415430693737,\n 37.907513139633274\n ],\n [\n -75.8702033385699,\n 39.65270512692044\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"61","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Harvey, Johanna Alexandra 0000-0003-4504-6777","orcid":"https://orcid.org/0000-0003-4504-6777","contributorId":351781,"corporation":false,"usgs":true,"family":"Harvey","given":"Johanna Alexandra","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":929570,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sullivan, Jeffery Dale 0009-0005-9759-5964","orcid":"https://orcid.org/0009-0005-9759-5964","contributorId":351825,"corporation":false,"usgs":true,"family":"Sullivan","given":"Jeffery Dale","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":929571,"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":929572,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carter, Deborah L.","contributorId":335924,"corporation":false,"usgs":false,"family":"Carter","given":"Deborah","email":"","middleInitial":"L.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":929573,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Driscoll, Cindy P.","contributorId":190850,"corporation":false,"usgs":false,"family":"Driscoll","given":"Cindy","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":929574,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McGowan, Peter C.","contributorId":13867,"corporation":false,"usgs":false,"family":"McGowan","given":"Peter","email":"","middleInitial":"C.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":929575,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Callahan, Carl R.","contributorId":205289,"corporation":false,"usgs":false,"family":"Callahan","given":"Carl","email":"","middleInitial":"R.","affiliations":[{"id":37073,"text":"USFWS, Annapolis MD","active":true,"usgs":false}],"preferred":false,"id":929576,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"O'Donnell, Amy W.","contributorId":351827,"corporation":false,"usgs":false,"family":"O'Donnell","given":"Amy W.","affiliations":[{"id":84062,"text":"Fish and Wildlife Health Program","active":true,"usgs":false}],"preferred":false,"id":929577,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mullinax, Jennifer M.","contributorId":221170,"corporation":false,"usgs":false,"family":"Mullinax","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":929578,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"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":929579,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Prosser, Diann J. 0000-0002-5251-1799","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":221167,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":929580,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70263761,"text":"70263761 - 2025 - AAPG Energy and Minerals Division Tight Oil and Gas Committee Activities and Commodity Report for 2021-2022: Tuscaloosa Marine Shale, Gulf Coast basin, Louisiana and Mississippi","interactions":[],"lastModifiedDate":"2025-06-04T15:03:25.689798","indexId":"70263761","displayToPublicDate":"2025-02-01T09:56:41","publicationYear":"2025","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":21809,"text":"AAPG Wiki","active":true,"publicationSubtype":{"id":32}},"title":"AAPG Energy and Minerals Division Tight Oil and Gas Committee Activities and Commodity Report for 2021-2022: Tuscaloosa Marine Shale, Gulf Coast basin, Louisiana and Mississippi","docAbstract":"The Upper Cretaceous Tuscaloosa marine shale (TMS) potential production area encompasses 20.4 million acres across central Louisiana (LA), southern Mississippi (MS), southwestern Alabama (AL), and a small southwestern section of the Florida panhandle (Hackley et al., 2018). It remains a minor and largely undeveloped unconventional shale oil play with production from the TMS confined along the east-west LA-MS State boundary (Fig. 1). The mean undiscovered, technically recoverable resources in the TMS are estimated at 1.5 billion barrels of oil and 4.6 trillion cubic feet of gas (Hackley et al., 2018). Geochemical analyses of source rock solvent extracts and oil samples indicate that, in the play area, the TMS is the primary source of shale oil produced from the TMS as well as of accumulated oils in the underlying conventional reservoirs of the lower Tuscaloosa (Hackley et al., 2020). The API gravity of TMS oils ranges from approximately 34 to 46 degrees (Hackley et al., 2020; Croke et al., 2020).
","language":"English","publisher":"AAPG Energy and Minerals Division Tight Oil and Gas Committee","doi":"10.13140/RG.2.2.29579.40488","collaboration":"American Association of Petroleum Geologists","usgsCitation":"Lohr, C., 2025, AAPG Energy and Minerals Division Tight Oil and Gas Committee Activities and Commodity Report for 2021-2022: Tuscaloosa Marine Shale, Gulf Coast basin, Louisiana and Mississippi: AAPG Wiki, https://doi.org/10.13140/RG.2.2.29579.40488.","productDescription":"8 p.","ipdsId":"IP-176031","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":489572,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lohr, Celeste D. 0000-0001-6287-9047 clohr@usgs.gov","orcid":"https://orcid.org/0000-0001-6287-9047","contributorId":3866,"corporation":false,"usgs":true,"family":"Lohr","given":"Celeste D.","email":"clohr@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":928151,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70267865,"text":"70267865 - 2025 - Is sexual size dimorphism in walleye, Sander vitreus, a driver of seasonal movements in Lake Erie?","interactions":[],"lastModifiedDate":"2025-06-06T13:30:52.332192","indexId":"70267865","displayToPublicDate":"2025-02-01T08:15:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2285,"text":"Journal of Fish Biology","active":true,"publicationSubtype":{"id":10}},"title":"Is sexual size dimorphism in walleye, Sander vitreus, a driver of seasonal movements in Lake Erie?","docAbstract":"Walleye (Sander vitreus) are a sexually dimorphic species in which females are larger than males in adulthood. Walleye can also exhibit sex- and population-based differences in migration behavior. In Lake Erie, we used acoustic telemetry to test the prediction that female walleye exhibit larger broad-scale movements than males during the summer and autumn. This prediction was based on the hypothesis that greater foraging in females would be needed to satisfy their higher energy requirements. We quantified movements of males and females from distinct spawning populations from Lake Erie's west and east basins using a lake-wide grid of acoustic receivers in 2017 and 2018. We found no differences between male and female home range sizes, core range sizes, or distances travelled in either population. Fish length-at-tagging was unrelated to the size of a fish's home range or to its distance travelled, contrary to previous predictions about body size as a driver of migration distance in the Lake Erie population. We found that west basin walleye occupied large and indiscrete portions of the lake, but the core range of females extended into the central basin, whereas males were concentrated in the west basin. Walleye originating from the east basin confined their movements primarily to the east basin and showed stronger home range overlap among members of their population than did walleye from the west basin population. Within either population, walleye had more home range overlap with members of the same sex, which likely reflects differences in the migratory tendencies of males and females.
","language":"English","publisher":"Wiley","doi":"10.1111/jfb.15960","usgsCitation":"Bihun, C., Faust, M., Kraus, R., MacDougall, T., Robinson, J., Vandergoot, C., and Raby, G., 2025, Is sexual size dimorphism in walleye, Sander vitreus, a driver of seasonal movements in Lake Erie?: Journal of Fish Biology, v. 106, no. 2, p. 430-441, https://doi.org/10.1111/jfb.15960.","productDescription":"12 p.","startPage":"430","endPage":"441","ipdsId":"IP-165223","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":490640,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/jfb.15960","text":"External Repository"},{"id":489690,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Erie","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -83.3340237734879,\n 42.2003107892165\n ],\n [\n -83.76123811265276,\n 41.36759241460828\n ],\n [\n -81.80316880718208,\n 41.3146825621337\n ],\n [\n -78.64522615109004,\n 42.56891605267103\n ],\n [\n -78.69689358833503,\n 42.91401349265345\n ],\n [\n -79.6373646641363,\n 43.07393720267635\n ],\n [\n -81.57717526647028,\n 42.625802175312444\n ],\n [\n -83.3340237734879,\n 42.2003107892165\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"106","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-10-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Bihun, Christian J.","contributorId":356358,"corporation":false,"usgs":false,"family":"Bihun","given":"Christian J.","affiliations":[{"id":36679,"text":"Trent University","active":true,"usgs":false}],"preferred":false,"id":939170,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Faust, Matthew","contributorId":268770,"corporation":false,"usgs":false,"family":"Faust","given":"Matthew","affiliations":[{"id":16232,"text":"Ohio Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":939171,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kraus, Richard 0000-0003-4494-1841","orcid":"https://orcid.org/0000-0003-4494-1841","contributorId":216548,"corporation":false,"usgs":true,"family":"Kraus","given":"Richard","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":939172,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"MacDougall, Thomas","contributorId":354792,"corporation":false,"usgs":false,"family":"MacDougall","given":"Thomas","affiliations":[{"id":84663,"text":"Ontario Ministry of Nat. Res. and Forestry","active":true,"usgs":false}],"preferred":false,"id":939173,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Robinson, Jason","contributorId":216164,"corporation":false,"usgs":false,"family":"Robinson","given":"Jason","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":939174,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vandergoot, Christopher","contributorId":340837,"corporation":false,"usgs":false,"family":"Vandergoot","given":"Christopher","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":939175,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Raby, Graham D.","contributorId":189592,"corporation":false,"usgs":false,"family":"Raby","given":"Graham D.","affiliations":[],"preferred":false,"id":939176,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70263174,"text":"ofr20241074 - 2025 - Reproductive parameters in invasive blue catfish (Ictalurus furcatus) from tributaries of the Chesapeake Bay in Maryland and Delaware, 2020–22","interactions":[],"lastModifiedDate":"2025-02-06T19:55:23.808466","indexId":"ofr20241074","displayToPublicDate":"2025-01-31T11:30:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-1074","displayTitle":"Reproductive Parameters in Invasive Blue Catfish (Ictalurus furcatus) From Tributaries of the Chesapeake Bay in Maryland and Delaware, 2020–22","title":"Reproductive parameters in invasive blue catfish (Ictalurus furcatus) from tributaries of the Chesapeake Bay in Maryland and Delaware, 2020–22","docAbstract":"Over the past few decades, Ictalurus furcatus (Valenciennes in Cuvier and Valenciennes, 1840; blue catfish) have become a formidable invasive species in tidal tributaries of the Chesapeake Bay in Maryland and Delaware. Knowledge of their reproductive behaviors can support managers in the determination of ideal timing and implementation of mitigation strategies. In 2020–22, the U.S. Geological Survey sampled blue catfish from the Chesapeake Bay’s tidal reaches of the Nanticoke River, Broad Creek, Marshyhope Creek, and Patuxent River in Maryland and Delaware from March to October. All fish were analyzed with histology to assess reproductive stages (immature, pre-spawn [early and late], and post-spawn). Plasma was collected for multiple endpoints including 17β-estradiol (E2), calcium, and total protein. Results indicated that female spawning generally occurred from late April through June, as evidenced by the histological data showing that the number of vitellogenic oocytes in late pre-spawn females began to increase in April, peaked in May, and gradually declined through July. In males, the greatest number of late pre-spawn individuals was observed in April and gradually declined through June. Additionally, female E2 levels were highest in late, pre-spawn females, thus showing a similar trend as the histological results, indicating that this endpoint can be used for assessing reproductive changes over time. Collectively, this study documents typical spawning patterns in blue catfish within the Chesapeake Bay watershed. However, further research across different watersheds would enhance data availability and inform more comprehensive management strategies.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/ofr20241074","usgsCitation":"Walsh, H.L., Densmore, C.L., Regish, A.M., Norstog, J., Moore, J., Williams, B., Bressman, N., and Crum, Z., 2025, Reproductive parameters in invasive blue catfish (Ictalurus furcatus) from tributaries of the Chesapeake Bay in Maryland and Delaware, 2020–22: U.S. Geological Survey Open-File Report 2024–1074, 17 p., https://doi.org/10.3133/ofr20241074.","productDescription":"Report: vi, 17 p.; Data Release","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-171688","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":481526,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1074/images"},{"id":481525,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13W8K3Y","text":"USGS data release","linkHelpText":"Morphometric and reproductive data from blue catfish (Ictalurus furcatus) collected in tributaries of the Chesapeake Bay, Maryland and Delaware 2020–2022"},{"id":481522,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1074/ofr20241074.pdf","text":"Report","size":"4.46 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024-1074"},{"id":481521,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1074/coverthb.jpg"},{"id":481555,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241074/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2024-1074"},{"id":481527,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1074/ofr20241074.xml"}],"country":"United States","state":"Delaware, Maryland","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75.56331116045253,\n 38.61088599742371\n ],\n [\n -75.82395278530792,\n 38.61088599742371\n ],\n [\n -75.82395278530792,\n 38.38925412638224\n ],\n [\n -75.56331116045253,\n 38.38925412638224\n ],\n [\n -75.56331116045253,\n 38.61088599742371\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Eastern Ecological Science Center
U.S. Geological Survey
11649 Leetown Rd.
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During an effusive eruption crisis the initial advance of a lava flow is typically the primary focus of model forecasts and hazard management efforts. Flow branching and lateral expansion of lava flows can pose significant dangers within evolving flow fields throughout the duration of an eruption and are an underappreciated hazard. We use field monitoring, infrasound, time lapse imagery, and lidar data collected during the 2018 lower East Rift Zone eruption of Kīlauea (Hawai‘i) to track the origins, progression, and implications of a flow branching event caused by catastrophic levee failure. Our analyses show that surges in effusion rate, rheologic transitions between pāhoehoe and ‘a‘ā flow regimes, slope-breaks, pre-existing topographic highs, and the structure of perched levee walls all played a role in the failure of the levee and subsequent re-routing of the lava flow. Failure of perched lava structures leads to an acutely hazardous situation because lava impounded by the structure can rapidly inundate the landscape. This is the first time a levee failure event has been observed in such detail with numerous monitoring techniques; this unprecedented level of observation provides quantifiable insights into levee failure processes that have important implications for hazard mitigation and an improved understanding of lava flow emplacement dynamics.
","language":"English","publisher":"Presses universitaires de Strasbourg","doi":"10.30909/vol.08.01.6780","usgsCitation":"Gallant, E., Dietterich, H., Patrick, M.R., Hyman, D., Carr, B., Lyons, J.J., and Meredith, E.S., 2025, Catastrophic lava flow levee failure: Precursors, processes, and implications: Volcanica, v. 8, no. 1, p. 67-80, https://doi.org/10.30909/vol.08.01.6780.","productDescription":"14 p.","startPage":"67","endPage":"80","ipdsId":"IP-166006","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":487712,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.30909/vol.08.01.6780","text":"Publisher Index Page"},{"id":482644,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -154.9167,\n 19.5\n ],\n [\n -154.9167,\n 19.4333\n ],\n [\n -154.8,\n 19.4333\n ],\n [\n -154.8,\n 19.5\n ],\n [\n -154.9167,\n 19.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"8","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Gallant, Elisabeth 0000-0001-6841-3694","orcid":"https://orcid.org/0000-0001-6841-3694","contributorId":339872,"corporation":false,"usgs":false,"family":"Gallant","given":"Elisabeth","affiliations":[{"id":81292,"text":"University of Hawaiʻi at Hilo","active":true,"usgs":false}],"preferred":false,"id":929079,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dietterich, Hannah R. 0000-0001-7898-4343","orcid":"https://orcid.org/0000-0001-7898-4343","contributorId":212771,"corporation":false,"usgs":true,"family":"Dietterich","given":"Hannah R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":929080,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patrick, Matthew R. 0000-0002-8042-6639 mpatrick@usgs.gov","orcid":"https://orcid.org/0000-0002-8042-6639","contributorId":2070,"corporation":false,"usgs":true,"family":"Patrick","given":"Matthew","email":"mpatrick@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":929081,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hyman, David M.R. 0000-0002-9607-7584","orcid":"https://orcid.org/0000-0002-9607-7584","contributorId":351609,"corporation":false,"usgs":true,"family":"Hyman","given":"David","middleInitial":"M.R.","affiliations":[{"id":38128,"text":"Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":929082,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carr, Brett B 0000-0002-1033-3082","orcid":"https://orcid.org/0000-0002-1033-3082","contributorId":251755,"corporation":false,"usgs":false,"family":"Carr","given":"Brett B","affiliations":[{"id":17701,"text":"Lamont-Doherty Earth Observatory","active":true,"usgs":false}],"preferred":false,"id":929083,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lyons, John J. 0000-0001-5409-1698 jlyons@usgs.gov","orcid":"https://orcid.org/0000-0001-5409-1698","contributorId":5394,"corporation":false,"usgs":true,"family":"Lyons","given":"John","email":"jlyons@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":929084,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Meredith, Elinor S. 0000-0002-3869-1180","orcid":"https://orcid.org/0000-0002-3869-1180","contributorId":270269,"corporation":false,"usgs":false,"family":"Meredith","given":"Elinor","email":"","middleInitial":"S.","affiliations":[{"id":56128,"text":"Earth Observatory of Singapore, Singapore","active":true,"usgs":false}],"preferred":false,"id":929085,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70263441,"text":"70263441 - 2025 - “Leaky weirs” capture alluvial deposition and enhance seasonal mountain-front recharge in dryland streams","interactions":[],"lastModifiedDate":"2025-02-12T14:10:12.583226","indexId":"70263441","displayToPublicDate":"2025-01-25T09:04:28","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":20072,"text":"Applied Water Science","active":true,"publicationSubtype":{"id":10}},"title":"“Leaky weirs” capture alluvial deposition and enhance seasonal mountain-front recharge in dryland streams","docAbstract":"“Leaky weirs” are rock structures installed in dryland streams, which are anchored into exposed bedrock, loosely cemented, and designed to allow water to slowly pass through. They are being tested at a ranch in southeastern Arizona, USA, to restore and conserve the historic range and desert wetlands. Data are collected to assess how leaky weirs impact surface water, subsurface water, and groundwater recharge—including stream discharge, timing, and depth of infiltration, and groundwater elevations. Three adjacent watersheds, two with outlets just below leaky weirs and one with leaky weirs farther upstream, were instrumented with water-level loggers, wildlife cameras, and crest stage instruments with temperature sensors in the soil. As most groundwater recharge is assumed to be focused along the mountain fronts in this region, mountain-block recharge is also evaluated to differentiate between the two using isotope analyses. Finally, a single, late-season flood event is scrutinized to consider the leaky weir effect on all monitored components in the water budget. Results indicated groundwater flow is primarily from the mountains to the east via older, regional mountain-block recharge. However, the development of shallow alluvial aquifers is supported by the leaky weirs, that slow flows, capture permeable sediments, and allow infiltration, thus enhancing mountain-front recharge. In turn, these new pockets of water help support the restoration of historic wetlands. Sediment accumulates where leaky weirs are installed, reducing flashy peak flows, and resulting in a series of infiltration ponds along the channel that support vegetation during growing seasons and recharge the shallow aquifer during non-growing seasons.
","language":"English","publisher":"Springer","doi":"10.1007/s13201-025-02371-y","usgsCitation":"Norman, L., Uhlman, K., Coy, H., Wilson, N., Bennett, A., Gray, F., and Ehrenberg, K., 2025, “Leaky weirs” capture alluvial deposition and enhance seasonal mountain-front recharge in dryland streams: Applied Water Science, v. 15, 29, 27 p., https://doi.org/10.1007/s13201-025-02371-y.","productDescription":"29, 27 p.","ipdsId":"IP-157242","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":488063,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s13201-025-02371-y","text":"Publisher Index Page"},{"id":481927,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -109.333333,\n 32.283333\n ],\n [\n -109.916667,\n 32.283333\n ],\n [\n -109.916667,\n 31.5\n ],\n [\n -109.333333,\n 31.5\n ],\n [\n -109.333333,\n 32.283333\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","noUsgsAuthors":false,"publicationDate":"2025-01-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Norman, Laura M. 0000-0002-3696-8406","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":203300,"corporation":false,"usgs":true,"family":"Norman","given":"Laura M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":927001,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Uhlman, Kristine;","contributorId":167093,"corporation":false,"usgs":false,"family":"Uhlman","given":"Kristine;","email":"","affiliations":[{"id":17599,"text":"Texas Bureau of Economic Geology","active":true,"usgs":false}],"preferred":false,"id":927002,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coy, Hanna","contributorId":350793,"corporation":false,"usgs":false,"family":"Coy","given":"Hanna","affiliations":[{"id":83830,"text":"U.S. Geological Survey, Arizona Water Science Center (Ret.)","active":true,"usgs":false}],"preferred":false,"id":927003,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, Natalie R. 0000-0001-5145-1221","orcid":"https://orcid.org/0000-0001-5145-1221","contributorId":202534,"corporation":false,"usgs":true,"family":"Wilson","given":"Natalie R.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":927004,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bennett, Andrew M.","contributorId":350794,"corporation":false,"usgs":false,"family":"Bennett","given":"Andrew M.","affiliations":[{"id":83831,"text":"Contracter","active":true,"usgs":false}],"preferred":false,"id":927005,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gray, Floyd 0000-0002-0223-8966","orcid":"https://orcid.org/0000-0002-0223-8966","contributorId":201529,"corporation":false,"usgs":true,"family":"Gray","given":"Floyd","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":927006,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ehrenberg, Kurt T.","contributorId":350795,"corporation":false,"usgs":false,"family":"Ehrenberg","given":"Kurt T.","affiliations":[{"id":83832,"text":"U.S. Geological Survey, Arizona Water Science Center, 520 N. Park Avenue, Tucson, AZ 85719","active":true,"usgs":false}],"preferred":false,"id":927007,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70263279,"text":"70263279 - 2025 - Perpetuation of avian influenza from molt to fall migration in wild Swan Geese (Anser cygnoides): An agent-based modeling approach","interactions":[],"lastModifiedDate":"2025-02-04T14:46:30.055812","indexId":"70263279","displayToPublicDate":"2025-01-25T08:40:30","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3700,"text":"Viruses","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Perpetuation of avian influenza from molt to fall migration in wild Swan Geese (Anser cygnoides): An agent-based modeling approach","title":"Perpetuation of avian influenza from molt to fall migration in wild Swan Geese (Anser cygnoides): An agent-based modeling approach","docAbstract":"Wild waterfowl are considered to be the reservoir of avian influenza, but their distinct annual life cycle stages and their contribution to disease dynamics are not well understood. Studies of the highly pathogenic avian influenza (HPAI) virus have primarily focused on wintering grounds, where human and poultry densities are high year-round, compared with breeding grounds, where migratory waterfowl are more isolated. Few if any studies of avian influenza have focused on the molting stage where wild waterfowl congregate in a few selected wetlands and undergo the simultaneous molt of wing and tail feathers during a vulnerable flightless period. The molting stage may be one of the most important periods for the perpetuation of the disease in waterfowl, since during this stage, immunologically naïve young birds and adults freely intermix prior to the fall migration. Our study incorporated empirical data from virological field samplings and markings of Swan Geese (Anser cygnoides) on their breeding grounds in Mongolia in an integrated agent-based model (ABM) that included susceptible–exposed–infectious–recovered (SEIR) states. Our ABM results provided unique insights and indicated that individual movements between different molting wetlands and the transmission rate were the key predictors of HPAI perpetuation. While wetland extent was not a significant predictor of HPAI perpetuation, it had a large effect on the number of infections and associated death toll. Our results indicate that conserving undisturbed habitats for wild waterfowl during the molting stage of the breeding season could reduce the risk of HPAI transmission.
","language":"English","publisher":"MDPI","doi":"10.3390/v17020196","usgsCitation":"Takekawa, J., Choi, C., Prosser, D.J., Sullivan, J.D., Batbayar, N., and Xiao, X., 2025, Perpetuation of avian influenza from molt to fall migration in wild Swan Geese (Anser cygnoides): An agent-based modeling approach: Viruses, v. 17, no. 2, 196, 20 p., https://doi.org/10.3390/v17020196.","productDescription":"196, 20 p.","ipdsId":"IP-171183","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":487618,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/v17020196","text":"Publisher Index Page"},{"id":481653,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mongolia, Russia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 114.5,\n 50.33\n ],\n [\n 114.5,\n 49.25\n ],\n [\n 116,\n 49.25\n ],\n [\n 116,\n 50.33\n ],\n [\n 114.5,\n 50.33\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"17","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-01-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Takekawa, John","contributorId":330942,"corporation":false,"usgs":false,"family":"Takekawa","given":"John","affiliations":[{"id":32931,"text":"USGS - Retired","active":true,"usgs":false}],"preferred":false,"id":926134,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Choi, Chang-Yong","contributorId":181784,"corporation":false,"usgs":false,"family":"Choi","given":"Chang-Yong","email":"","affiliations":[],"preferred":false,"id":926135,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prosser, Diann J. 0000-0002-5251-1799","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":221167,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":926136,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sullivan, Jeffery D. 0000-0002-9242-2432","orcid":"https://orcid.org/0000-0002-9242-2432","contributorId":265822,"corporation":false,"usgs":true,"family":"Sullivan","given":"Jeffery","email":"","middleInitial":"D.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":926137,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Batbayar, Nyambaya","contributorId":181791,"corporation":false,"usgs":false,"family":"Batbayar","given":"Nyambaya","affiliations":[],"preferred":false,"id":926138,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Xiao, Xiangming","contributorId":181792,"corporation":false,"usgs":false,"family":"Xiao","given":"Xiangming","email":"","affiliations":[],"preferred":false,"id":926139,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70262871,"text":"70262871 - 2025 - Maintenance of genetic diversity despite population fluctuations in the lesser prairie-chicken (Tympanuchus pallidicinctus)","interactions":[],"lastModifiedDate":"2025-01-27T15:08:54.1809","indexId":"70262871","displayToPublicDate":"2025-01-23T08:01:34","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}},"title":"Maintenance of genetic diversity despite population fluctuations in the lesser prairie-chicken (Tympanuchus pallidicinctus)","docAbstract":"Assessments of genetic diversity, structure, history, and effective population size (N e) are critical for the conservation of imperiled populations. The lesser prairie-chicken (Tympanuchus pallidicinctus) has experienced declines due to habitat loss, degradation, and fragmentation in addition to substantial population fluctuations with unknown effects on genetic diversity. Our objectives were to: (i) compare genetic diversity across three temporally discrete sampling periods (2002, 2007-2010, and 2013-2014) that are characterized by low or high population abundance; (ii) examine genetic diversity at lek and lek cluster spatial scales; (ii) identify potential bottlenecks and characterize genetic structure and relatedness; and (iii) estimate the regional N e. We analyzed 194 samples across the shinnery oak prairie region of eastern New Mexico and western Texas using 13 microsatellite loci. Mean heterozygosity, allelic richness, and inbreeding coefficient were not significantly different between discrete sampling periods, suggesting that this population has maintained its genetic diversity across the sampled population fluctuations. We did not detect genetic structure using multiple Bayesian clustering approaches. Furthermore, there was no support for recent genetic bottlenecks, and we estimated that the N e ranged from 229.5 (p crit = 0.05, 95% CIs = 121.2-1023.1) to 349.1 (p crit = 0.02, 95% CIs = 176.4-2895.2) during our final sampling period (2013-2014). Although we provide evidence for gene flow within this region, continued habitat loss and fragmentation that leads to population declines and isolation could increase the risk of genetic consequences. Continued monitoring of genetic diversity and increasing available habitat that supports robust populations of lesser prairie-chickens may improve the likelihood of the species' persistence.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.70879","usgsCitation":"Lawrence, A.J., Carleton, S., Oyler-McCance, S.J., DeYoung, R.W., Nichols, C.T., and Wright, T., 2025, Maintenance of genetic diversity despite population fluctuations in the lesser prairie-chicken (Tympanuchus pallidicinctus): Ecology and Evolution, v. 15, no. 1, e70879, 15 p., https://doi.org/10.1002/ece3.70879.","productDescription":"e70879, 15 p.","ipdsId":"IP-161495","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":487597,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.70879","text":"Publisher Index Page"},{"id":481258,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico, Texas","county":"Bailey County, Chaves County, Cochran County, Lea County, Roosevelt County, Yoakum 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Andrew J.","contributorId":198549,"corporation":false,"usgs":false,"family":"Lawrence","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":925085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carleton, Scott A.","contributorId":264590,"corporation":false,"usgs":false,"family":"Carleton","given":"Scott A.","affiliations":[{"id":37461,"text":"fws","active":true,"usgs":false}],"preferred":false,"id":925086,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":925087,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeYoung, Randy W.","contributorId":342699,"corporation":false,"usgs":false,"family":"DeYoung","given":"Randy","email":"","middleInitial":"W.","affiliations":[{"id":81913,"text":"Texas A&M University - Kingsville","active":true,"usgs":false}],"preferred":false,"id":925088,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nichols, Clay T.","contributorId":193024,"corporation":false,"usgs":false,"family":"Nichols","given":"Clay","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":925089,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wright, Timothy F.","contributorId":349891,"corporation":false,"usgs":false,"family":"Wright","given":"Timothy F.","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":925090,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70264607,"text":"70264607 - 2025 - Recovering the American horseshoe crab through a commitment to collaboration","interactions":[],"lastModifiedDate":"2025-06-23T15:19:10.816449","indexId":"70264607","displayToPublicDate":"2025-01-22T07:53:36","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"Recovering the American horseshoe crab through a commitment to collaboration","docAbstract":"American horseshoe crab Limulus polyphemus populations are recovering because of cooperation among diverse stakeholders and data-driven collective action. Limulus polyphemus is one of four extant species facing common threats, and conservation successes and limitations hold lessons applicable to all the species. We review the advancement in management and monitoring over recent decades, discuss the current population status throughout the species’ range, and describe the potential future status and recovery based on recent assessments. In retrospect, L. polyphemus conservation has followed the frameworks promoted by the International Union for the Conservation of Nature: mobilize networks to increase assessment capacity, engage diverse stakeholders, measure impacts, and amplify successes. Data show significantly increased populations in the Delaware Bay region and improved status in the Northeast. The average abundance of adults in Delaware Bay over the recent decade (2013–2022) is more than twice that in the previous decade (2003–2012). In 2022, the abundances for adult females and males in the Delaware Bay population were estimated to be 16 million and 40 million, respectively. However, reversing persistent poor conditions in some regions and mitigating the widespread threat of habitat loss from coastal development and sea level rise will rely on collaboration among diverse stakeholders to build upon the current conservation successes. Scientists and conservationists working on the horseshoe crab species indigenous to Asia are advancing along a similar track, establishing a monitoring network and mobilizing diverse stakeholders. However, there is a need for capacity building for robust assessment of the species in Asia to measure the impact of conservation, just as that need remains unmet for L. polyphemus in the Gulf of Mexico. The importance of partnerships and collaborations is apparent in their absence. The regions where partnerships and collaborations among researchers, conservationists, and agency scientists do not exist are those where the capacity for monitoring and assessment is notably lacking.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/fshmag/vuae021","usgsCitation":"Smith, D.R., Botton, M., and Shin, P., 2025, Recovering the American horseshoe crab through a commitment to collaboration: Fisheries, v. 50, no. 6, p. 255-267, https://doi.org/10.1093/fshmag/vuae021.","productDescription":"13 p.","startPage":"255","endPage":"267","ipdsId":"IP-168316","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":483452,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -68.4111673628184,\n 45.59557363731551\n ],\n [\n -72.79604028478602,\n 43.2885548171144\n ],\n [\n -79.18376394472423,\n 33.98021634745319\n ],\n [\n -87.16366759369707,\n 30.59299121506301\n ],\n [\n -91.00483741761445,\n 19.98230416811475\n ],\n [\n -86.10209271501805,\n 20.250947939742574\n ],\n [\n -86.48390972813229,\n 21.472770822927\n ],\n [\n -80.01996169377958,\n 25.202938179984592\n ],\n [\n -66.81672247791515,\n 44.529009105659156\n ],\n [\n -68.4111673628184,\n 45.59557363731551\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"50","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":930940,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Botton, Mark","contributorId":352360,"corporation":false,"usgs":false,"family":"Botton","given":"Mark","affiliations":[{"id":84189,"text":"Fordham University","active":true,"usgs":false}],"preferred":false,"id":930941,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shin, Paul","contributorId":352361,"corporation":false,"usgs":false,"family":"Shin","given":"Paul","affiliations":[{"id":84190,"text":"University of Hong Kong,","active":true,"usgs":false}],"preferred":false,"id":930942,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70265968,"text":"70265968 - 2025 - Multiple dimensions define thresholds for population resilience of the eastern oyster, Crassostrea virginica","interactions":[],"lastModifiedDate":"2025-04-22T17:57:05.14167","indexId":"70265968","displayToPublicDate":"2025-01-21T12:51:45","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":"Multiple dimensions define thresholds for population resilience of the eastern oyster, Crassostrea virginica","title":"Multiple dimensions define thresholds for population resilience of the eastern oyster, Crassostrea virginica","docAbstract":"A species' distribution depends on its tolerance to environmental conditions. These conditions are defined by a minimum, maximum, and optimal ranges of single and combined factors. Forays into environmental conditions outside the minimum or maximum tolerance of a species (i.e., thresholds) are predicted to have large effects on a species' population and may help predict population resilience in the face of changing conditions. Here, we explore ecological thresholds for an important fisheries species and ecosystem engineer, Crassostrea virginica (eastern oyster). In coastal Louisiana, extreme freshwater inputs from rivers and precipitation events impact estuarine salinity, which is a key driver of oyster population dynamics. Using daily salinity and monthly oyster abundance monitoring data across Louisiana estuaries, we explore low salinity exposure threshold levels for oysters. Two statistical approaches were applied, with each model highlighting a different operational definition of a threshold: random forest models identified a threshold as an abrupt change in the oyster abundance- salinity relationship, while Bayesian models identified an increased probability of oyster abundance dropping below a critical threshold, defined here as less than 50% of the 5-year mean. All model results indicate oysters in coastal Louisiana experience low salinity exposure thresholds, defined as the number of consecutive summer days of salinity levels less than 5. However, actual number of days and salinity threshold differed by statistical approach, oyster life stage, and estuary highlighting the multiple dimensions defining ecological thresholds. While thresholds are considered important benchmarks to inform management and assess population or ecosystem vulnerability, our results reveal the need to carefully relate threshold definition to management goals and to acknowledge that thresholds may be highly context dependent.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.70759","usgsCitation":"La Peyre, M., Wang, H., Sable, S.E., Wu, W., Li, B., Comba, D., Perez, C., Bates, M., and Swam, L.M., 2025, Multiple dimensions define thresholds for population resilience of the eastern oyster, Crassostrea virginica: Ecology and Evolution, v. 15, no. 1, e70759, 17 p., https://doi.org/10.1002/ece3.70759.","productDescription":"e70759, 17 p.","ipdsId":"IP-166145","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":488493,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.70759","text":"Publisher Index Page"},{"id":484861,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -89.11822914557477,\n 30.785757926614025\n ],\n [\n -93.93935746486115,\n 30.785757926614025\n ],\n [\n -93.93935746486115,\n 28.547047787509243\n ],\n [\n -89.11822914557477,\n 28.547047787509243\n ],\n [\n -89.11822914557477,\n 30.785757926614025\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-21","publicationStatus":"PW","contributors":{"authors":[{"text":"La Peyre, Megan K. 0000-0001-9936-2252","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":264343,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":934187,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, H. 0000-0002-2977-7732","orcid":"https://orcid.org/0000-0002-2977-7732","contributorId":205508,"corporation":false,"usgs":true,"family":"Wang","given":"H.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":934188,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sable, Shaye E.","contributorId":257728,"corporation":false,"usgs":false,"family":"Sable","given":"Shaye","email":"","middleInitial":"E.","affiliations":[{"id":52096,"text":"Dynamic Solutions, LLC","active":true,"usgs":false}],"preferred":false,"id":934189,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wu, Wei","contributorId":353629,"corporation":false,"usgs":false,"family":"Wu","given":"Wei","affiliations":[{"id":12460,"text":"The University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":934190,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Li, Bin","contributorId":47684,"corporation":false,"usgs":true,"family":"Li","given":"Bin","email":"","affiliations":[],"preferred":false,"id":934191,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Comba, Devin","contributorId":335897,"corporation":false,"usgs":false,"family":"Comba","given":"Devin","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":934192,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Perez, Carlos","contributorId":353654,"corporation":false,"usgs":false,"family":"Perez","given":"Carlos","affiliations":[],"preferred":false,"id":934193,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bates, Melanie","contributorId":353630,"corporation":false,"usgs":false,"family":"Bates","given":"Melanie","affiliations":[{"id":32913,"text":"Louisiana State University Agricultural Center","active":true,"usgs":false}],"preferred":false,"id":934194,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Swam, Lauren M.","contributorId":341585,"corporation":false,"usgs":false,"family":"Swam","given":"Lauren","email":"","middleInitial":"M.","affiliations":[{"id":32913,"text":"Louisiana State University Agricultural Center","active":true,"usgs":false}],"preferred":false,"id":934195,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70264830,"text":"70264830 - 2025 - Timing of and pressure-temperature constraints on deformation in the Toxaway dome, eastern Blue Ridge: Evidence for continuous deformation from the Neoacadian orogeny to the Alleghanian orogeny","interactions":[],"lastModifiedDate":"2025-03-26T15:44:33.595629","indexId":"70264830","displayToPublicDate":"2025-01-17T10:31:21","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Timing of and pressure-temperature constraints on deformation in the Toxaway dome, eastern Blue Ridge: Evidence for continuous deformation from the Neoacadian orogeny to the Alleghanian orogeny","docAbstract":"Many mountain belts are built through repeated collision, and in the case of orogenies closely spaced in time, determining when one orogeny ends and another begins can be challenging. The southern Appalachian mountains were formed by three mountain-building events closely spaced in time, including the Taconic (ca. 480–440 Ma), Neoacadian (ca. 375–340 Ma), and Alleghanian (ca. 330–265 Ma) orogenies. Notably, the end of the Neoacadian and the beginning of the Alleghanian are only separated by ~10 m.y., and some published dates record deformation and metamorphism in the eastern Blue Ridge during this interval, blurring the boundary between these two discrete events.
The Toxaway dome, located along the North Carolina–South Carolina, USA, border at the eastern edge of the eastern Blue Ridge, is a structural dome cored by Mesoproterozoic Toxaway Gneiss and surrounded by the younger Tallulah Falls Formation. Previous ages constraints from the Toxaway dome (343 and 338 Ma U-Pb zircon ages) make it an ideal location to explore whether there was continuous deformation during this period of supposed quiescence between the Neoacadian and Alleghanian orogenies. We used optical microscopy and electron backscatter diffraction in quartz to determine deformation temperatures, thermobarometry to determine metamorphic pressure-temperature conditions, and monazite petrochronology to determine the timing of deformation. Quartz and feldspar recrystallization fabrics parallel to dome-defining fabrics indicate deformation occurred at amphibolite-facies conditions, which is corroborated by our pressure-temperature estimates of 0.67–0.8 ± 0.12 GPa and 661–689 ± 25 °C. Monazite grains that record the timing of reactions of garnet growth and breakdown range from 342 ± 4.8 Ma to 296 ± 10.8 Ma, bridging the interval between the Neoacadian and Alleghanian orogenies. Three samples from the nearby Tallulah Falls dome, which occupies a similar structural position along the edge of the eastern Blue Ridge in Georgia, record monazite dates of 334 ± 4.2 Ma to 304 ± 4.8 Ma, indicating there was tectonic activity in this region before the commonly defined beginning of the Alleghanian orogeny. We propose (1) there was no period of quiescence between the Neoacadian and Alleghanian orogenies in the eastern Blue Ridge, and (2) deformation during this time was at higher temperatures and pressures than previously reported.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02802.1","usgsCitation":"Levine, J., Powell, N.E., Casale, G., and Martin, C., 2025, Timing of and pressure-temperature constraints on deformation in the Toxaway dome, eastern Blue Ridge: Evidence for continuous deformation from the Neoacadian orogeny to the Alleghanian orogeny: Geosphere, v. 21, no. 2, p. 179-205, https://doi.org/10.1130/GES02802.1.","productDescription":"27 p.","startPage":"179","endPage":"205","ipdsId":"IP-166597","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":488667,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02802.1","text":"Publisher Index Page"},{"id":483881,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia, North Carolina, South Carolina","otherGeospatial":"Tallulah Fault Dome, Toxaway Dome","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.12768324273705,\n 36.09919315340798\n ],\n [\n -84.53940674334677,\n 36.09919315340798\n ],\n [\n -84.53940674334677,\n 33.93940700100836\n ],\n [\n -82.12768324273705,\n 33.93940700100836\n ],\n [\n -82.12768324273705,\n 36.09919315340798\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"21","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-01-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Levine, Jamie S.F. 0000-0003-4100-6428","orcid":"https://orcid.org/0000-0003-4100-6428","contributorId":352688,"corporation":false,"usgs":false,"family":"Levine","given":"Jamie S.F.","affiliations":[{"id":36626,"text":"Appalachian State University","active":true,"usgs":false}],"preferred":false,"id":932007,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Powell, Nicholas Edwin 0000-0003-3654-8759","orcid":"https://orcid.org/0000-0003-3654-8759","contributorId":304622,"corporation":false,"usgs":true,"family":"Powell","given":"Nicholas","email":"","middleInitial":"Edwin","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":932008,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Casale, Gabriele 0000-0003-1371-753X","orcid":"https://orcid.org/0000-0003-1371-753X","contributorId":192726,"corporation":false,"usgs":false,"family":"Casale","given":"Gabriele","email":"","affiliations":[{"id":27675,"text":"Appalachian State University, Boone, NC","active":true,"usgs":false}],"preferred":false,"id":932009,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, Claire P. 0000-0001-8813-5070","orcid":"https://orcid.org/0000-0001-8813-5070","contributorId":352689,"corporation":false,"usgs":false,"family":"Martin","given":"Claire P.","affiliations":[{"id":84283,"text":"StraboSpot, Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":932010,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70264116,"text":"70264116 - 2025 - New 40Ar/39Ar eruption ages reveal an important temporal relationship between mafic and silicic volcanism in the Yellowstone Plateau volcanic field","interactions":[],"lastModifiedDate":"2025-04-17T15:34:45.630531","indexId":"70264116","displayToPublicDate":"2025-01-17T09:50:38","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"New 40Ar/39Ar eruption ages reveal an important temporal relationship between mafic and silicic volcanism in the Yellowstone Plateau volcanic field","title":"New 40Ar/39Ar eruption ages reveal an important temporal relationship between mafic and silicic volcanism in the Yellowstone Plateau volcanic field","docAbstract":"The chronology of mafic eruptions and their temporal relation to rhyolitic volcanism in the Yellowstone Plateau volcanic field are poorly known, thereby limiting our understanding of the way(s) in which mafic magmatism drives rhyolitic activity. To address this, we measured 40Ar/39Ar eruption ages on 13 mafic samples collected from Henrys Fork Caldera (eastern Idaho, western United States), which represents a region of known volcanic activity immediately west of Yellowstone caldera for which the relationship to Yellowstone volcano’s most recent caldera-forming cycle remains unclear. Our new ages indicate that mafic activity was occurring throughout the Henrys Fork Caldera both leading up to and following the emplacement of the Lava Creek Tuff. Furthermore, these ages reveal that mafic volcanism in the Henrys Fork Caldera region occurred concurrently with second- and third-cycle rhyolite volcanism in and around Yellowstone caldera. Our new ages therefore provide unique and definitive evidence that the mafic magmatism of Henrys Fork Caldera played a critical role in the development of shallow-crustal rhyolitic magma chambers that ultimately fueled the large caldera-forming eruptions within the Yellowstone volcanic system.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/G52709.1","usgsCitation":"Messa, C., Sims, K., Stelten, M.E., Lawler, B., and Kuntz, M., 2025, New 40Ar/39Ar eruption ages reveal an important temporal relationship between mafic and silicic volcanism in the Yellowstone Plateau volcanic field: Geology, v. 53, no. 4, p. 317-322, https://doi.org/10.1130/G52709.1.","productDescription":"6 p.","startPage":"317","endPage":"322","ipdsId":"IP-165883","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":482974,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Henry's Fork Caldera","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.1667,\n 44.5\n ],\n [\n -111.8333,\n 44.5\n ],\n [\n -111.8333,\n 44 \n ],\n [\n -111.1667,\n 44\n ],\n [\n -111.1667,\n 44.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"53","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-01-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Messa, Cole","contributorId":351999,"corporation":false,"usgs":false,"family":"Messa","given":"Cole","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":929874,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sims, Kenneth 0000-0001-6179-6610","orcid":"https://orcid.org/0000-0001-6179-6610","contributorId":352001,"corporation":false,"usgs":false,"family":"Sims","given":"Kenneth","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":929875,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stelten, Mark E. 0000-0002-5294-3161 mstelten@usgs.gov","orcid":"https://orcid.org/0000-0002-5294-3161","contributorId":145923,"corporation":false,"usgs":true,"family":"Stelten","given":"Mark","email":"mstelten@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":929876,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lawler, Brandi","contributorId":352004,"corporation":false,"usgs":false,"family":"Lawler","given":"Brandi","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":929877,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kuntz, Mel","contributorId":352007,"corporation":false,"usgs":false,"family":"Kuntz","given":"Mel","affiliations":[{"id":37374,"text":"Retired USGS","active":true,"usgs":false}],"preferred":false,"id":929878,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70262403,"text":"pp1900 - 2025 - Prospectivity mapping for geologic hydrogen","interactions":[],"lastModifiedDate":"2025-07-10T15:49:15.032401","indexId":"pp1900","displayToPublicDate":"2025-01-16T15:45:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1900","displayTitle":"Prospectivity Mapping for Geologic Hydrogen","title":"Prospectivity mapping for geologic hydrogen","docAbstract":"Geologic, or naturally occurring, hydrogen has the potential to become a new, low-carbon, primary energy resource. Often referred to as “white” or “gold” hydrogen, this gas occurs naturally in the Earth’s subsurface, similar to petroleum resources. However, unlike petroleum, which releases carbon dioxide when burned, burning hydrogen only produces water as a byproduct. Exploration for geologic hydrogen remains in an early stage and discoveries of high concentrations of subsurface hydrogen are still relatively rare. To facilitate research and exploration for this potential resource, this report presents the first publicly available prospectivity map of geologic hydrogen accumulations in the conterminous United States. Prospective regions are those regions in which all major components necessary for a hydrogen accumulation likely are present—a source of sufficient hydrogen generation, porous reservoirs for storage, and seals to prevent leakage. The midcontinent region of the United States and the central California coast are revealed as having high prospectivity. This analysis also identifies previously unrecognized prospective regions that may be favorable due to long distance lateral migration of subsurface hydrogen, such as the offshore eastern seaboard of the United States, and can provide a linkage between surface observations of hydrogen degassing and far-field source regions. The methodology developed to create this map is expandable and flexible and may be adapted to incorporate new concepts in the hydrogen system and for application to other regions of the world.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/pp1900","programNote":"Energy Resources Program","usgsCitation":"Gelman, S.E., Hearon, J.S., and Ellis, G.S., 2025, Prospectivity mapping for geologic hydrogen (ver. 1.2, January 22,\n2025): U.S. Geological Survey Professional Paper 1900, 43 p., https://doi.org/10.3133/pp1900.","productDescription":"Report: iv, 43 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-171159","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":480750,"rank":5,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/pp/1900/versionHist.txt","size":"8.00 KB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1900 version history"},{"id":466906,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://certmapper.cr.usgs.gov/data/apps/hydrogen","text":"Interactive web application for geologic 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U.S. Geological Survey
Box 25046, Mail Stop 939
Denver, CO 80225