{"pageNumber":"51","pageRowStart":"1250","pageSize":"25","recordCount":165459,"records":[{"id":70272613,"text":"70272613 - 2025 - Stable isotope reference materials and scale definitions – Outcomes of the 2024 IAEA experts meeting","interactions":[],"lastModifiedDate":"2025-11-24T16:27:31.900185","indexId":"70272613","displayToPublicDate":"2025-07-30T09:13:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3233,"text":"Rapid Communications in Mass Spectrometry","active":true,"publicationSubtype":{"id":10}},"title":"Stable isotope reference materials and scale definitions – Outcomes of the 2024 IAEA experts meeting","docAbstract":"<p><span>The participants of the 12</span><sup>th</sup><span>&nbsp;International Atomic Energy Agency (IAEA) meeting on stable isotope reference materials reached a consensus, acknowledging the existence and use of two carbon isotope delta scales: the VPDB (Vienna Peedee belemnite) scale and the VPDB-LSVEC (LSVEC - lithium carbonate prepared by H. J. Svec). Conversion models between the two scales can be established and used but introduce uncertainty. A format for isotope delta scale definition was agreed upon and was used to define the two carbon isotope delta scales and the two main oxygen isotope delta scales, VSMOW-SLAP (Vienna Standard Mean Ocean Water–Standard Light Antarctic Precipitation) and VPDB. Confirmation or identification of a second-scale–defining point is still necessary for the nitrogen and sulfur isotope delta scales.</span></p><p><span>Efforts are encouraged to improve consistency among laboratories in the isotopic analysis of “non-exchangeable hydrogen” in bulk organic materials and oxygen in carbonates using the phosphoric acid reaction. Additional topics discussed include (1) need for improvement in reference materials for accurate greenhouse gas isotopic analyses; (2) reference materials under production by the IAEA, the US Geological Survey (USGS), and the US National Institute of Standards and Technology (NIST); (3) methods for value and uncertainty assignment of reference materials; and (4) calculation of carbon-13 isotope delta and oxygen-18 isotope delta of CO</span><sub>2</sub><span>&nbsp;measured by dual-inlet isotope ratio mass spectrometry.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/rcm.10018","usgsCitation":"Camin, F., Besic, D., Brewer, P.J., Allison, C.E., Coplen, T.B., Dunn, P.J., Gehre, M., Gröning, M., Meijer, H.A., Hélie, J., Iacumin, P., Kraft, R., Krajnc, B., Kümmel, S., Lee, S., Meija, J., Mester, Z., Mohn, J., Moossen, H., Qi, H., Skrzypek, G., Sperlich, P., Viallon, J., Wassenaar, L.I., and Wielgosz, R.I., 2025, Stable isotope reference materials and scale definitions – 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,{"id":70270226,"text":"70270226 - 2025 - The influence of human presence and footprint on animal space use in US national parks","interactions":[],"lastModifiedDate":"2025-08-13T14:14:41.59291","indexId":"70270226","displayToPublicDate":"2025-07-30T09:03:40","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3173,"text":"Proceedings of the Royal Society B","active":true,"publicationSubtype":{"id":10}},"title":"The influence of human presence and footprint on animal space use in US national parks","docAbstract":"<p><span>Given the importance of protected areas for biodiversity, the growth of visitation to many areas has raised concerns about the effects of humans on wildlife. In 2020, the COVID-19 pandemic led to temporary closure of national parks in the United States, offering a pseudonatural experiment to tease apart the effects of permanent infrastructure and transient human presence on animals. We compiled GPS tracking data from 229 individuals of 10 mammal species in 14 parks and used third-order hierarchical resource selection functions to evaluate the influence of the human footprint on animal space use in 2019 and 2020. Averaged across all parks and species, animals avoided the human footprint, whether the park was open or closed. However, although animals in remote areas showed consistent avoidance, on average those in more developed areas switched from avoidance to selection when protected areas were closed. Findings varied across species: some responded consistently negatively to the footprint (wolves, mountain goats), some positively (mule deer, red fox) and others had a strong exposure-mediated response (elk, mountain lion). Furthermore, some species responded more strongly to the park closure (black bear, moose). This study advances our understanding of complex interactions between recreation and wildlife in protected areas.</span></p>","language":"English","publisher":"Royal Society Publishing","doi":"10.1098/rspb.2025.1013","usgsCitation":"Gaynor, K., Hayes, F., Manlove, K., Galloway, N., Benson, J.F., Cherry, M., Epps, C.W., Fletcher, R.J., Orrock, J.L., Smith, J.A., Aiello, C., Belant, J.L., Berger, J., Biel, M., Bright, J., Bump, J.K., Burchett, M., Butler, C., Carlson, J., Cole, E.K., Darby, N., DeGutis, E., Dewey, S., Figura, P., Gable, T., Gagnon, J., Glass, D.M., Green, J.R., Gunther, K.A., Haroldson, M., Hersey, K., Holton, B., Homkes, A., Hoy, S.R., Hughson, D., Joly, K., Leahy, R., Lee-Roney, C., Lester, R., MacNulty, D., Magnuson, M., Martin, D.J., Mazur, R., Moore, S., Orning, E.K., Patrick, K., Peterson, R.O., Potvin, L., Prentice, P., Riley, S.P., Romanski, M.C., Roug, A., Sikich, J.A., Simpson, N., Sloan, W.B., Smith, D.W., Sorum, M., Sprague, S., Stahler, D., Stephenson, J.A., Stephenson, T.R., Stroud-Settles, J., van Manen, F.T., Vucetich, J.A., Wilmot, K., Windels, S.K., Wolf, T., and Cross, P., 2025, The influence of human presence and footprint on animal space use in US national parks: Proceedings of the Royal Society B, v. 292, no. 2051, 20251013, 13 p., https://doi.org/10.1098/rspb.2025.1013.","productDescription":"20251013, 13 p.","ipdsId":"IP-177079","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":494198,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rspb.2025.1013","text":"Publisher Index Page"},{"id":494020,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"western United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": 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The upcoming NASA/USGS Landsat Next mission, with an increase in spatial and spectral resolution over previous Landsat missions, is no exception. Landsat Next will produce nearly six times the amount of image data per day over either of the current Landsat 8 or Landsat 9 observatories. Near-lossless compression, where the image after compression is not identical to the original image, allows for the efficient storage and transmission of all image data while meeting the mission’s global coverage, temporal revisit frequency, and science measurement and performance requirements. Although the Landsat user community is understandably cautious about lossy compression, it is possible to constrain the maximum loss, or error, introduced during compression, ensuring that any added error remains within the intrinsic noise level of the instrument. The Consultative Committee for Space Data Systems image compression standard, CCSDS 123.0-B-2, was chosen for the Landsat Next mission because it is an internationally supported standard suited for integration with space hardware, and it allows control over the magnitude and distribution of compression error. Using several proxy datasets as a surrogate for Landsat Next image data, an investigation was performed to determine a preliminary set of parameter values that would keep the added compression error within acceptable limits. 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cjcrawford@usgs.gov","orcid":"https://orcid.org/0000-0002-7145-0709","contributorId":213607,"corporation":false,"usgs":true,"family":"Crawford","given":"Christopher J.","email":"cjcrawford@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":949712,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Holmes, Thomas R.H.","contributorId":302543,"corporation":false,"usgs":false,"family":"Holmes","given":"Thomas","middleInitial":"R.H.","affiliations":[{"id":65494,"text":"NASA Goddard Space Flight Center, Greenbelt MD","active":true,"usgs":false}],"preferred":false,"id":949713,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Dabney, Philip","contributorId":350376,"corporation":false,"usgs":false,"family":"Dabney","given":"Philip","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":949714,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Cook, Bruce D.","contributorId":75402,"corporation":false,"usgs":true,"family":"Cook","given":"Bruce","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":949715,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70270164,"text":"70270164 - 2025 - Land-based nutrient flux to a fringing reef: Insights from Ofu Island, American Samoa","interactions":[],"lastModifiedDate":"2025-08-14T13:15:06.534259","indexId":"70270164","displayToPublicDate":"2025-07-30T08:07:07","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"title":"Land-based nutrient flux to a fringing reef: Insights from Ofu Island, American Samoa","docAbstract":"Submarine groundwater discharge (SGD) is a critical driver of nutrient transport in coral reef ecosystems, shaping water quality, primary productivity, and overall reef health. This study quantifies SGD fluxes and associated nutrient dynamics in two reef flat pools within the Ofu Unit of the National Park of American Samoa: Papaloloa and Fatuana. A multi-method approach integrating unoccupied aerial system-based thermal infrared (UAS-TIR) surveys, radon-based SGD measurements, multichannel electrical resistivity tomography (ERT), and discrete water sampling was used to assess SGD rates and nutrient contributions. UAS-TIR imagery revealed cooler sea surface temperatures in both pools, indicative of SGD, with the higher fluxes observed in Papaloloa. Radon measurements revealed a strong inverse correlation between SGD rates and tidal stage, with a more immediate SGD response at Papaloloa due to its highly permeable calcareous sand and gravel substrate. In contrast, a 2–3-hour lag in SGD response at Fatuana suggests discharge from a more inland aquifer that has lower diffusivity. Nutrient concentrations correlated with temperature and salinity, confirming SGD as the dominant nutrient transport mechanism, whereas isotopic analyses indicated inputs from both groundwater and potential anthropogenic sources. Despite lower SGD flux at Fatuana, higher algal cover suggests additional factors influencing algal proliferation, including substrate availability and hydrodynamic conditions. Excess nutrient inputs from SGD may contribute to algal overgrowth, which threatens Ofu’s thermally tolerant corals by increasing competition for space and light. These findings underscore the complexity of SGD-mediated nutrient dynamics in reef environments and emphasize the need for integrated hydrological and ecological assessments to support effective reef conservation and management strategies. \n ","language":"English","publisher":"Frontiers Media","doi":"10.3389/fmars.2025.1600827","usgsCitation":"Prouty, N.G., Oberle, F.K., Cheriton, O.M., Toth, L., Brown, E., and Storlazzi, C.D., 2025, Land-based nutrient flux to a fringing reef: Insights from Ofu Island, American Samoa: Frontiers in Marine Science, v. 12, 1600827, 15 p., https://doi.org/10.3389/fmars.2025.1600827.","productDescription":"1600827, 15 p.","ipdsId":"IP-176993","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":494196,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2025.1600827","text":"Publisher Index Page"},{"id":493956,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"American Samoa, Ofu Island, Olosega Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -169.70032612583023,\n              -14.146100325769837\n            ],\n            [\n              -169.70032612583023,\n              -14.203250623210224\n            ],\n            [\n              -169.59031247739568,\n              -14.203250623210224\n            ],\n            [\n              -169.59031247739568,\n              -14.146100325769837\n            ],\n            [\n              -169.70032612583023,\n              -14.146100325769837\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"12","noUsgsAuthors":false,"publicationDate":"2025-07-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Prouty, Nancy G. 0000-0002-8922-0688 nprouty@usgs.gov","orcid":"https://orcid.org/0000-0002-8922-0688","contributorId":215720,"corporation":false,"usgs":true,"family":"Prouty","given":"Nancy","email":"nprouty@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":945599,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oberle, Ferdinand K.J. 0000-0001-8871-3619","orcid":"https://orcid.org/0000-0001-8871-3619","contributorId":214402,"corporation":false,"usgs":true,"family":"Oberle","given":"Ferdinand","middleInitial":"K.J.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":945600,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cheriton, Olivia M. 0000-0003-3011-9136","orcid":"https://orcid.org/0000-0003-3011-9136","contributorId":204459,"corporation":false,"usgs":true,"family":"Cheriton","given":"Olivia","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":945601,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Toth, Lauren T. 0000-0002-2568-802X ltoth@usgs.gov","orcid":"https://orcid.org/0000-0002-2568-802X","contributorId":181748,"corporation":false,"usgs":true,"family":"Toth","given":"Lauren","email":"ltoth@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":945602,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brown, Eric K.","contributorId":359481,"corporation":false,"usgs":false,"family":"Brown","given":"Eric K.","affiliations":[{"id":85828,"text":"NPS American Samoa","active":true,"usgs":false}],"preferred":false,"id":945603,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":213610,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":945604,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70272638,"text":"70272638 - 2025 - Impact of land subsidence on housing sale values: Evidence from the San Joaquin Valley, California","interactions":[],"lastModifiedDate":"2026-01-22T16:34:02.959931","indexId":"70272638","displayToPublicDate":"2025-07-29T11:01:29","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2598,"text":"Land Economics","active":true,"publicationSubtype":{"id":10}},"title":"Impact of land subsidence on housing sale values: Evidence from the San Joaquin Valley, California","docAbstract":"<p><span>This study assesses the impact of land subsidence on housing sale values in the San Joaquin Valley, California. The study utilizes home sale transactions and vertical land-surface displacement data from Interferometric Synthetic Aperture Radar techniques. Using fine-scale fixed effects, matching, as well as a repeat-sales approach, our results indicate that land subsidence resulted in a 2.4% to 5.8% reduction in housing sale values, with the largest reductions occurring in areas where substantial subsidence occurred. Such findings may have implications for groundwater management and can potentially help inform policy design to help mitigate the causes and impacts of land subsidence.</span></p>","language":"English","publisher":"University of Wisconsin Press","doi":"10.3368/le.102.1.092324-0083R","usgsCitation":"Nemati, M., Sneed, M., and Dinar, A., 2025, Impact of land subsidence on housing sale values: Evidence from the San Joaquin Valley, California: Land Economics, v. 101, no. 4, 092324-0083R, 49 p., https://doi.org/10.3368/le.102.1.092324-0083R.","productDescription":"092324-0083R, 49 p.","ipdsId":"IP-157861","costCenters":[{"id":39113,"text":"WMA - Office of Quality Assurance","active":true,"usgs":true}],"links":[{"id":497087,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3368/le.102.1.092324-0083r","text":"Publisher Index Page"},{"id":496998,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Joaquin Valley","volume":"101","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-07-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Nemati, Mehdi","contributorId":363076,"corporation":false,"usgs":false,"family":"Nemati","given":"Mehdi","affiliations":[{"id":12655,"text":"University of California, Riverside","active":true,"usgs":false}],"preferred":false,"id":951082,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sneed, Michelle 0000-0002-8180-382X","orcid":"https://orcid.org/0000-0002-8180-382X","contributorId":214186,"corporation":false,"usgs":true,"family":"Sneed","given":"Michelle","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951083,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dinar, Ariel","contributorId":363077,"corporation":false,"usgs":false,"family":"Dinar","given":"Ariel","affiliations":[{"id":12655,"text":"University of California, Riverside","active":true,"usgs":false}],"preferred":false,"id":951084,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70272048,"text":"70272048 - 2025 - Reaction kinetics and accelerant effects of sulfides in early mature hydrocarbon generation using hydrous pyrolysis","interactions":[],"lastModifiedDate":"2025-11-14T16:35:31.547406","indexId":"70272048","displayToPublicDate":"2025-07-29T10:31:34","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2156,"text":"Journal of Analytical and Applied Pyrolysis","active":true,"publicationSubtype":{"id":10}},"title":"Reaction kinetics and accelerant effects of sulfides in early mature hydrocarbon generation using hydrous pyrolysis","docAbstract":"<p><span>Hydrocarbon generation in organic-rich sediments is influenced by the molecular organic composition and relative abundance of associated minerals. Certain mineral-derived elements act as catalysts and reaction intermediaries, facilitating early-stage hydrocarbon formation in potential source rocks. This study investigated the role of sulfur contributed from pyrite as an accelerant in thermal reaction, focusing on its effects on early maturation and consequent hydrocarbon generation from gilsonite (low-sulfur solid petroleum). Hydrous pyrolysis (HP) experiments were conducted on mixtures of gilsonite and pyrite in varying ratios (1:0.1, 1:0.5, 1:1, 1:2, and 1:10 w/w gilsonite:pyrite) at 320, 350, and 370 °C for 72 h. Untreated and thermally altered residues were analyzed using solid bitumen reflectance (BR</span><sub>o</sub><span>, %), total organic carbon (TOC) content, programmed temperature pyrolysis, scanning electron microscopy with energy-dispersive spectroscopy (SEM-EDS), and X-ray diffraction (XRD) to evaluate the potential accelerant role of pyritic sulfur in hydrocarbon formation. The results show HP residues at 320 and 350 °C with greater pyrite concentrations had higher BR</span><sub>o</sub><span>, while reflectance values were similar in the 370 °C residues, regardless of pyrite concentration, suggesting enhanced reaction at lower thermal conditions. Increasing pyrite content systematically decreased hydrogen index (HI) values while increasing the transformation ratio (TR) and production index (PI), indicating enhanced conversion of organic matter to hydrocarbons with increasing pyrite concentrations. Gas yields increased with pyrite addition, particularly at 350 °C, confirming secondary cracking effects. However, gas production stabilized or declined at higher pyrite loadings (1:10), suggesting alternative reaction pathways such as coke formation. Our data indicate the presence of pyrite lowers the activation energy for thermal cracking, shifting peak experimental hydrocarbon generation temperatures downward by 20–30 °C, with the most pronounced accelerant effects observed at moderate pyrite concentrations (1:0.5 and 1:1). The thermodynamic framework reveals that pyrite stability is influenced by experimental conditions, with pyrrhotite formation favored in the presence of gilsonite due to reduced oxygen fugacity. Pyrite transformation to pyrrhotite, as observed through XRD, SEM-EDS, and predicted by thermodynamic data, further supports the accelerant role of S, as pyrrhotite exhibits a higher hydrogen transfer potential, promoting early oil generation. These findings highlight the importance of pyrite in modulating hydrocarbon generation pathways in organic-rich systems.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jaap.2025.107307","usgsCitation":"Adsul, T., Hackley, P.C., Hatcherian, J.J., McAleer, R.J., Green, C.J., Burnham, A.K., Ghosh, S., Werne, J.P., and Varma, A.K., 2025, Reaction kinetics and accelerant effects of sulfides in early mature hydrocarbon generation using hydrous pyrolysis: Journal of Analytical and Applied Pyrolysis, v. 192, 107307, https://doi.org/10.1016/j.jaap.2025.107307.","productDescription":"107307","ipdsId":"IP-176736","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":496496,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"192","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Adsul, Tushar","contributorId":330815,"corporation":false,"usgs":false,"family":"Adsul","given":"Tushar","email":"","affiliations":[{"id":79028,"text":"Indian Institute of Technology (Indian School of Mines), India","active":true,"usgs":false}],"preferred":false,"id":949842,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":949843,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hatcherian, Javin J. 0000-0001-9151-6798 jhatcherian@usgs.gov","orcid":"https://orcid.org/0000-0001-9151-6798","contributorId":195770,"corporation":false,"usgs":true,"family":"Hatcherian","given":"Javin","email":"jhatcherian@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":949844,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":215498,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan","email":"rmcaleer@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":949845,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Green, Carlin J. 0000-0002-6557-6268 cjgreen@usgs.gov","orcid":"https://orcid.org/0000-0002-6557-6268","contributorId":193013,"corporation":false,"usgs":true,"family":"Green","given":"Carlin","email":"cjgreen@usgs.gov","middleInitial":"J.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":949846,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Burnham, Alan K.","contributorId":362030,"corporation":false,"usgs":false,"family":"Burnham","given":"Alan","middleInitial":"K.","affiliations":[{"id":86422,"text":"Stratify//MH Chew Associates, 7633 Southfront Rd #170, Livermore, California 94551, USA","active":true,"usgs":false}],"preferred":false,"id":949847,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ghosh, Santanu","contributorId":330824,"corporation":false,"usgs":false,"family":"Ghosh","given":"Santanu","email":"","affiliations":[{"id":79037,"text":"Mizoram University, India","active":true,"usgs":false}],"preferred":false,"id":949848,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Werne, Josef P.","contributorId":362031,"corporation":false,"usgs":false,"family":"Werne","given":"Josef","middleInitial":"P.","affiliations":[{"id":86423,"text":"Organic and Stable Isotope Biogeochemistry Laboratory, Department of Geology and Environmental Science, University of Pittsburgh, 200 Space Research Coordination Center, 4107 O’Hara Street, Pittsburgh, PA 15260, USA","active":true,"usgs":false}],"preferred":false,"id":949849,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Varma, Atul K.","contributorId":290219,"corporation":false,"usgs":false,"family":"Varma","given":"Atul","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":949850,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70269711,"text":"70269711 - 2025 - Mauna Loa 2022 – Unrest, eruption, and outreach at the world’s largest volcano: Preface to the special issue","interactions":[],"lastModifiedDate":"2025-07-30T14:59:36.135828","indexId":"70269711","displayToPublicDate":"2025-07-29T09:54:53","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":"Mauna Loa 2022 – Unrest, eruption, and outreach at the world’s largest volcano: Preface to the special issue","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Springer","doi":"10.1007/s00445-025-01842-z","usgsCitation":"Lynn, K.J., Gallant, E., Downs, D.T., and Trusdell, F., 2025, Mauna Loa 2022 – Unrest, eruption, and outreach at the world’s largest volcano: Preface to the special issue: Bulletin of Volcanology, v. 87, 66, 5 p., https://doi.org/10.1007/s00445-025-01842-z.","productDescription":"66, 5 p.","ipdsId":"IP-170428","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":498963,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00445-025-01842-z","text":"Publisher Index Page"},{"id":493187,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Mauna Loa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -155.8333,\n              19.67\n            ],\n            [\n              -155.8333,\n              19.1667\n            ],\n            [\n              -155.0833,\n              19.1667\n            ],\n            [\n              -155.0833,\n              19.67\n            ],\n            [\n              -155.8333,\n              19.67\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"87","noUsgsAuthors":false,"publicationDate":"2025-07-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Lynn, Kendra J. 0000-0001-7886-4376","orcid":"https://orcid.org/0000-0001-7886-4376","contributorId":290327,"corporation":false,"usgs":true,"family":"Lynn","given":"Kendra","email":"","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":944498,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":944499,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Downs, Drew T. 0000-0002-9056-1404 ddowns@usgs.gov","orcid":"https://orcid.org/0000-0002-9056-1404","contributorId":173516,"corporation":false,"usgs":true,"family":"Downs","given":"Drew","email":"ddowns@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":944500,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Trusdell, Frank A. 0000-0002-0681-0528 trusdell@usgs.gov","orcid":"https://orcid.org/0000-0002-0681-0528","contributorId":754,"corporation":false,"usgs":true,"family":"Trusdell","given":"Frank A.","email":"trusdell@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":944501,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70273066,"text":"70273066 - 2025 - Environmental controls of suppressed fall crop productivity in an agrivoltaic solar array","interactions":[],"lastModifiedDate":"2025-12-12T16:25:26.929516","indexId":"70273066","displayToPublicDate":"2025-07-29T09:21:05","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":22176,"text":"Environmental Research: Food Systems","active":true,"publicationSubtype":{"id":10}},"title":"Environmental controls of suppressed fall crop productivity in an agrivoltaic solar array","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Globally, agrivoltaics (AV) research has revealed how microclimates created by photovoltaic (PV) panels can be leveraged to promote reciprocal benefits for agricultural land use and PV energy generation. Yet, in regions of the United States where emissions reduction laws are likely to lead to greater PV development on croplands, empirical evaluation of such co-location remain under explored. Furthermore, the most common approach to AV in the United States is one that maximizes energy generation and secondarily accommodates for agricultural management, and the controls of crop production in facilities that employ such an approach are underrepresented in the AV literature. Here, we assessed the agronomic and physiological response of two vegetable crops (radish and radicchio) with different carbon allocation patterns (belowground and aboveground, respectively) in an energy focused AV facility during a fall growing season, in New York, United States. We found that a reduction in total irradiance (−24%) within the AV array decreased total biomass in both crop types (46% and 49%), with significant alterations to root-shoot ratios in radish. Reductions in total biomass were not a result of physiological acclimation, indicating that AV crops had similar photosynthetic capacity as control crops; however, the environmental constraints imposed by energy focused AV design (i.e. reduced irradiance) limited C uptake overall. Our findings highlight the need for novel management approaches (e.g. earlier planting of AV fall crops) to help overcome yield penalties incurred by energy focused AV designs.</span></span></p>","language":"English","publisher":"Purpose-Led Publishing","doi":"10.1088/2976-601x/adf075","usgsCitation":"Sturchio, M.A., Russell, D.F., Schmidt, J., Marschner, C., DiTomasso, A., Kim, J., and Grodsky, S.M., 2025, Environmental controls of suppressed fall crop productivity in an agrivoltaic solar array: Environmental Research: Food Systems, v. 2, 035004, 12 p., https://doi.org/10.1088/2976-601x/adf075.","productDescription":"035004, 12 p.","ipdsId":"IP-178673","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":497706,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/2976-601x/adf075","text":"Publisher Index Page"},{"id":497480,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","city":"Coeymans","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -73.80802373764976,\n              42.47909671666136\n            ],\n            [\n              -73.80802373764976,\n              42.467374096715446\n            ],\n            [\n              -73.78867815813483,\n              42.467374096715446\n            ],\n            [\n              -73.78867815813483,\n              42.47909671666136\n            ],\n            [\n              -73.80802373764976,\n              42.47909671666136\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"2","noUsgsAuthors":false,"publicationDate":"2025-07-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Sturchio, Matthew A.","contributorId":364059,"corporation":false,"usgs":false,"family":"Sturchio","given":"Matthew","middleInitial":"A.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":952199,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Russell, Dana F.","contributorId":364061,"corporation":false,"usgs":false,"family":"Russell","given":"Dana","middleInitial":"F.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":952200,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmidt, Jasmine","contributorId":364064,"corporation":false,"usgs":false,"family":"Schmidt","given":"Jasmine","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":952201,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marschner, Caroline","contributorId":364067,"corporation":false,"usgs":false,"family":"Marschner","given":"Caroline","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":952202,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DiTomasso, Antonio","contributorId":364070,"corporation":false,"usgs":false,"family":"DiTomasso","given":"Antonio","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":952203,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kim, Jinwook","contributorId":53416,"corporation":false,"usgs":false,"family":"Kim","given":"Jinwook","email":"","affiliations":[],"preferred":false,"id":952204,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Grodsky, Steven Mark 0000-0003-0846-7230","orcid":"https://orcid.org/0000-0003-0846-7230","contributorId":328517,"corporation":false,"usgs":true,"family":"Grodsky","given":"Steven","email":"","middleInitial":"Mark","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":952205,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70270625,"text":"70270625 - 2025 - Regenerable membrane sensors for ultrasensitive nanoplastic quantification enabled by a data-driven Raman spectral processing algorithm","interactions":[],"lastModifiedDate":"2025-08-21T15:50:54.422861","indexId":"70270625","displayToPublicDate":"2025-07-29T08:45:16","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Regenerable membrane sensors for ultrasensitive nanoplastic quantification enabled by a data-driven Raman spectral processing algorithm","docAbstract":"<p><span>The detection of nanoplastics (NPs) in complex natural water systems is hindered by matrix interferences and limitations in current analytical techniques. This study presents Pre_seg, a Raman spectral processing algorithm integrated with regenerable anodic aluminum oxide (AAO) membrane sensors, for ultrasensitive, rapid, and quantitative NP detection at the single-particle level. The AAO membranes function as both filtration substrates and Raman sensors, reducing sample loss and contamination. Pre_seg incorporates statistically determined thresholds for signal-to-noise ratios (SNRs) and full width at half maximums (fwhms) across segmented spectral ranges, effectively minimizing noise and enhancing accuracy and sensitivity of NP detection. Pre_seg achieved 93.5% prediction accuracy of NPs and ≥90.4% rejection accuracy for non-NP entries. Mixed NPs were quantified at the lowest concentration of 0.5 μg L</span><sup>–1</sup><span>. The robustness of Pre_seg was validated in eutrophic and oligotrophic lake matrices following oxidation digestion pretreatment to mitigate organic interferences. Furthermore, the AAO membrane sensors demonstrated stability through multiple regeneration and reuse cycles. This innovative approach advances NP detection by enabling scalable, customizable, and environmentally relevant monitoring.</span></p>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.5c05396","collaboration":"University of Wisconsin","usgsCitation":"Wu, Z., Janssen, S., Tate, M., Qin, M., and Wei, H., 2025, Regenerable membrane sensors for ultrasensitive nanoplastic quantification enabled by a data-driven Raman spectral processing algorithm: Environmental Science and Technology, v. 59, no. 31, p. 16652-16661, https://doi.org/10.1021/acs.est.5c05396.","productDescription":"10 p.","startPage":"16652","endPage":"16661","ipdsId":"IP-178758","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":496347,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.5c05396","text":"Publisher Index Page"},{"id":494390,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"59","issue":"31","noUsgsAuthors":false,"publicationDate":"2025-07-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Wu, Ziyan","contributorId":346132,"corporation":false,"usgs":false,"family":"Wu","given":"Ziyan","email":"","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":946698,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Janssen, Sarah E. 0000-0003-4432-3154","orcid":"https://orcid.org/0000-0003-4432-3154","contributorId":210991,"corporation":false,"usgs":true,"family":"Janssen","given":"Sarah E.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":946699,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tate, Michael 0000-0003-1525-1219 mttate@usgs.gov","orcid":"https://orcid.org/0000-0003-1525-1219","contributorId":216029,"corporation":false,"usgs":true,"family":"Tate","given":"Michael","email":"mttate@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":946700,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Qin, Mohan","contributorId":346134,"corporation":false,"usgs":false,"family":"Qin","given":"Mohan","email":"","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":946701,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wei, Haoran","contributorId":360039,"corporation":false,"usgs":false,"family":"Wei","given":"Haoran","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":946702,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70270703,"text":"70270703 - 2025 - Larger larval sea lamprey (Petromyzon marinus) have longer survival times when exposed to the lampricide 3-trifluoromethyl-4-nitrophenol","interactions":[],"lastModifiedDate":"2025-11-20T16:56:38.431616","indexId":"70270703","displayToPublicDate":"2025-07-29T08:13:50","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Larger larval sea lamprey (<i>Petromyzon marinus</i>) have longer survival times when exposed to the lampricide 3-trifluoromethyl-4-nitrophenol","title":"Larger larval sea lamprey (Petromyzon marinus) have longer survival times when exposed to the lampricide 3-trifluoromethyl-4-nitrophenol","docAbstract":"<p><span>Invasive sea lamprey (</span><i>Petromyzon marinus</i><span>) in the Laurentian Great Lakes have negatively impacted ecologically and economically important fishes for nearly a century. To mitigate these effects, the lampricide 3-trifluoromethyl-4-nitrophenol (TFM) is applied annually on a rotating basis to selected Great Lakes tributaries to kill larval lamprey before they become juveniles, out-migrate to the lakes, and parasitize other fishes. It has been hypothesized that larval size (e.g., mass, length) may affect survival time in response to TFM. To test this hypothesis, we conducted an experiment with 8611 larvae across four temporal replicates, in which TFM concentrations equivalent to those used in present-day stream treatments were applied for up to 18&nbsp;h. When examining the survival times of larval lamprey exposed to TFM, we found a significant, positive relationship between length, mass, toxicity, and their interactions. For every 1&nbsp;mm increase in total length, a corresponding increase by 1&nbsp;g of mass reduced survival time by 0.4315&nbsp;min [95&nbsp;% CI: 0.5283–0.2992] and vice versa (i.e., the significant interaction between length and mass revealed that as larvae increase in mass, the survival benefit to being longer decreases, and vice versa). The changes in total length and mass of larval sea lamprey stored in ethanol for 4&nbsp;months was also quantified. The observation that five larvae survived well past the 12-hour time window of a typical TFM field treatment highlights the need for continuous monitoring and the development of new control strategies to ensure the continued effective management of this invasive species.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2025.102620","usgsCitation":"Nalesnik, A., Martin, E., Kovacs, I., Johnson, C., Carroll, E., Jubar, A.K., Hemstrom, W., Wilkie, M., Dunlop, E.S., Sepulveda, M.S., Johnson, N.S., and Christie, M.R., 2025, Larger larval sea lamprey (Petromyzon marinus) have longer survival times when exposed to the lampricide 3-trifluoromethyl-4-nitrophenol: Journal of Great Lakes Research, v. 51, no. 5, 102620, 8 p., https://doi.org/10.1016/j.jglr.2025.102620.","productDescription":"102620, 8 p.","ipdsId":"IP-168438","costCenters":[{"id":324,"text":"Great Lakes Science 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S.","contributorId":146961,"corporation":false,"usgs":false,"family":"Dunlop","given":"Erin","email":"","middleInitial":"S.","affiliations":[{"id":16762,"text":"Ontario Ministry of Natural Resources and Forestry","active":true,"usgs":false}],"preferred":false,"id":946854,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sepulveda, Maria S.","contributorId":191042,"corporation":false,"usgs":false,"family":"Sepulveda","given":"Maria","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":946856,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":597,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas","email":"njohnson@usgs.gov","middleInitial":"S.","affiliations":[{"id":324,"text":"Great Lakes Science 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,{"id":70275146,"text":"70275146 - 2025 - Characterizing the niche of Phalaris arundinacea (reed canarygrass) in floodplain forests of the Upper Mississippi River","interactions":[],"lastModifiedDate":"2026-04-20T15:35:48.147791","indexId":"70275146","displayToPublicDate":"2025-07-29T00:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Characterizing the niche of <i>Phalaris arundinacea</i> (reed canarygrass) in floodplain forests of the Upper Mississippi River","title":"Characterizing the niche of Phalaris arundinacea (reed canarygrass) in floodplain forests of the Upper Mississippi River","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Information on the favorable conditions for invasive species as well as potential constraints to their distribution can be valuable for management efforts. We used a niche modeling approach to analyze the patterns of species distributions along gradients of hypothesized influential environmental variables. Many ecological datasets may have incomplete coverage across the environmental gradients, infrequent sampling under some conditions, insufficient time for an invasive species to occupy all sites, and complex interactions among environmental variables (measured or unmeasured) that may result in species response curves that are difficult to interpret and may be ecologically misleading. To ensure the model and species response curves aligned with ecological niche theory, shape constraints were imposed to guarantee relationships follow a unimodal distribution to reflect the fundamental niche (where a species could occur). We compared a shape-constrained model to an unconstrained model and interpreted the species response curves from the constrained model to better characterize the ecological niche of reed canarygrass in floodplain forests of the Upper Mississippi River, USA. We found the probability of reed canarygrass occurrence decreases with increasing tree canopy cover, tree species richness, distance from forest edge, distance from invaded wet meadows, and island isolation. Probability of reed canarygrass presence exhibited bell-shaped curves in response to hydrology (inundation depth, frequency, and duration) and forest stress metrics indicating an optimum with less favorable conditions on either end of the ecological gradients. This information could be used to prioritize restoration efforts and enhance landcover change research in forested floodplains.</span></span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s13157-025-01956-2","usgsCitation":"Delaney, J.T., Van Appledorn, M., De Jager, N.R., Bouska, K.L., and Rohweder, J.J., 2025, Characterizing the niche of Phalaris arundinacea (reed canarygrass) in floodplain forests of the Upper Mississippi River: Wetlands, v. 45, 86, 12 p., https://doi.org/10.1007/s13157-025-01956-2.","productDescription":"86, 12 p.","ipdsId":"IP-164703","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":503213,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"upper Mississippi River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -93.44020500286925,\n              45.20810051838578\n            ],\n            [\n              -91.09888752607472,\n              41.81975291615561\n            ],\n            [\n              -91.79588050539074,\n              40.07343528894683\n            ],\n            [\n              -90.14935731160756,\n              36.647803520755886\n            ],\n            [\n              -88.93474584520565,\n              37.11378048828301\n            ],\n            [\n              -90.74845311041965,\n              39.84831202944948\n            ],\n            [\n              -89.84649625728352,\n              41.9195697474386\n            ],\n            [\n              -92.01609711969336,\n              45.28516191702806\n            ],\n            [\n              -93.44020500286925,\n              45.20810051838578\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"45","noUsgsAuthors":false,"publicationDate":"2025-07-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Delaney, John T. 0000-0003-1038-0265","orcid":"https://orcid.org/0000-0003-1038-0265","contributorId":255630,"corporation":false,"usgs":true,"family":"Delaney","given":"John","middleInitial":"T.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":959651,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Appledorn, Molly 0000-0002-8029-0014","orcid":"https://orcid.org/0000-0002-8029-0014","contributorId":205785,"corporation":false,"usgs":true,"family":"Van Appledorn","given":"Molly","email":"","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":959652,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"De Jager, Nathan R. 0000-0002-6649-4125 ndejager@usgs.gov","orcid":"https://orcid.org/0000-0002-6649-4125","contributorId":3717,"corporation":false,"usgs":true,"family":"De Jager","given":"Nathan","email":"ndejager@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":959653,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bouska, Kristen L. 0000-0002-4115-2313 kbouska@usgs.gov","orcid":"https://orcid.org/0000-0002-4115-2313","contributorId":178005,"corporation":false,"usgs":true,"family":"Bouska","given":"Kristen","email":"kbouska@usgs.gov","middleInitial":"L.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":959654,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rohweder, Jason J. 0000-0001-5131-9773 jrohweder@usgs.gov","orcid":"https://orcid.org/0000-0001-5131-9773","contributorId":150539,"corporation":false,"usgs":true,"family":"Rohweder","given":"Jason","email":"jrohweder@usgs.gov","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":959655,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70269987,"text":"70269987 - 2025 - Climate and land use drivers of freshwater fish biodiversity in the northeastern United States","interactions":[],"lastModifiedDate":"2025-08-07T15:19:03.836084","indexId":"70269987","displayToPublicDate":"2025-07-28T10:10:56","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Climate and land use drivers of freshwater fish biodiversity in the northeastern United States","docAbstract":"<p><span>Freshwater habitats can sustain high biodiversity, but habitat degradation, species invasion, and overexploitation have imperiled freshwater species. The multiple threats to freshwater habitats and changing stream characteristics due to climate change make it challenging to identify the drivers of fish vulnerability, especially given that the importance of drivers may vary by the biodiversity endpoint. The goals of this study were to 1) describe freshwater (lotic) fish biodiversity across northeastern states in the United States, and 2) identify geographic, climate, and land use drivers of fish biodiversity, toward improving freshwater fish conservation. We predicted habitat suitability for 53 fish species using survey data and corresponding geographic, climate, and land use data. After model fitting, we grouped species using a traditional approach based on traits and a new approach using modeled streamflow and stream temperature to create clusters. We found that climate and land use vulnerable groups did not always have similar geographic patterns or relationships to the climate or land use variables, suggesting that biota vulnerable to changing conditions may be overlooked by reliance on predefined guilds to set conservation goals. Biodiversity groups that were vulnerable to climate variables were also related to land use variables that can be used to identify restoration opportunities. This approach may be useful for managers interested in holistic freshwater management under changing stream conditions.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2025.111337","usgsCitation":"Rogers, J.B., DiRenzo, G.V., Quiñones, R.M., Richards, T., and Roy, A.H., 2025, Climate and land use drivers of freshwater fish biodiversity in the northeastern United States: Biological Conservation, v. 310, 111337, 18 p., https://doi.org/10.1016/j.biocon.2025.111337.","productDescription":"111337, 18 p.","ipdsId":"IP-172448","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":493712,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, 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 \"}}]}","volume":"310","noUsgsAuthors":false,"publicationDate":"2025-07-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Rogers, Jennifer B.","contributorId":359344,"corporation":false,"usgs":false,"family":"Rogers","given":"Jennifer","middleInitial":"B.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":945153,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DiRenzo, Graziella Vittoria 0000-0001-5264-4762","orcid":"https://orcid.org/0000-0001-5264-4762","contributorId":243404,"corporation":false,"usgs":true,"family":"DiRenzo","given":"Graziella","email":"","middleInitial":"Vittoria","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":945154,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Quiñones, Rebecca M.","contributorId":359345,"corporation":false,"usgs":false,"family":"Quiñones","given":"Rebecca","middleInitial":"M.","affiliations":[{"id":16900,"text":"Massachusetts Division of Fisheries and Wildlife","active":true,"usgs":false}],"preferred":false,"id":945155,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Richards, Todd","contributorId":359346,"corporation":false,"usgs":false,"family":"Richards","given":"Todd","affiliations":[{"id":16900,"text":"Massachusetts Division of Fisheries and Wildlife","active":true,"usgs":false}],"preferred":false,"id":945156,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":945157,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70269633,"text":"70269633 - 2025 - Rapid Holocene deposition in the Mackenzie Trough and Barrow Canyon areas in the western Arctic Ocean","interactions":[],"lastModifiedDate":"2025-07-29T15:14:54.039975","indexId":"70269633","displayToPublicDate":"2025-07-28T09:58:13","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":22153,"text":"Progress in Earth and Planetary Science","active":true,"publicationSubtype":{"id":10}},"title":"Rapid Holocene deposition in the Mackenzie Trough and Barrow Canyon areas in the western Arctic Ocean","docAbstract":"<p><span>The Arctic Ocean and terrestrial environment have recently been reported to be changing drastically, but it is unclear whether these changes are similar to natural variations in the past or how sudden and large the changes are compared to natural variations. This premise served as motivation to collect sediment cores during the summer of 2022 at four sites on the Canadian continental shelf and Alaskan upper continental slope to reconstruct changes in the marine and terrestrial environments to provide a comprehensive picture of the ocean environment during the preindustrial period before anthropogenic influences. We dated the sediments based on the&nbsp;</span><sup>137</sup><span>Cs radioactivity of bulk sediments and the&nbsp;</span><sup>14</sup><span>C concentrations of mollusk shells. The&nbsp;</span><sup>137</sup><span>Cs radioactivity shows a distinct onset corresponding to 1950 Common Era (CE) and the most prominent peak corresponding to 1963 CE. Multiple peaks appeared above the most prominent one, coinciding with nuclear power plant accidents in 1986 and 2011. Inventories of excess&nbsp;</span><sup>210</sup><span>Pb in all cores exceed the estimated supply of excess&nbsp;</span><sup>210</sup><span>Pb from atmospheric deposition, likely due to the scavenging supply of excess&nbsp;</span><sup>210</sup><span>Pb. By comparing&nbsp;</span><sup>137</sup><span>Cs and radiocarbon conventional ages, we estimated the local radiocarbon reservoir age value of each site. Using these local radiocarbon reservoir age and the conventional ages of mollusk shell samples, we established the age-depth models by the Bayesian method. The optimal ΔR values were 598, 511, 65, and –60&nbsp;years at the MT1, MT2, BC2, and BC2-2 sites, respectively. The cores consist of clayey silts continuously deposited with uniquely high sedimentation rates of 0.17 to 0.74&nbsp;cm&nbsp;y</span><sup>−1</sup><span>. Variation in the Ca/Ti ratio indicates ~ 20, ~ 30, 50–60, 100–125, and 300-year cycles, likely attributed to the variation in the Aleutian Low that controls the Bering Strait inflow of Pacific waters influencing our core sites. These sediments will be used for further high-resolution, multi-proxy studies with forthcoming results.</span></p>","language":"English","publisher":"Springer","doi":"10.1186/s40645-025-00734-2","usgsCitation":"Yamamoto, M., Suzuki, K., Murayama, M., Gemery, L., Seike, K., Polyak, L., Joe, Y., Uchida, S., Kobayashi, M., Onodera, J., Horikawa, K., Yamamoto, Y., Omori, T., Kuwae, M., Irino, T., Watanabe, Y., Itoh, M., and Watanabe, E., 2025, Rapid Holocene deposition in the Mackenzie Trough and Barrow Canyon areas in the western Arctic Ocean: Progress in Earth and Planetary Science, v. 12, 62, 26 p., https://doi.org/10.1186/s40645-025-00734-2.","productDescription":"62, 26 p.","ipdsId":"IP-174110","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":493325,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40645-025-00734-2","text":"Publisher Index Page"},{"id":493110,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"western Arctic Ocean","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -130,\n              74\n            ],\n            [\n              -170,\n              74\n            ],\n            [\n              -170,\n              64\n            ],\n            [\n              -130,\n              64\n            ],\n            [\n              -130,\n              74\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"12","noUsgsAuthors":false,"publicationDate":"2025-07-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Yamamoto, Masanobu 0000-0003-1312-825X","orcid":"https://orcid.org/0000-0003-1312-825X","contributorId":260119,"corporation":false,"usgs":false,"family":"Yamamoto","given":"Masanobu","email":"","affiliations":[{"id":16855,"text":"Hokkaido University","active":true,"usgs":false}],"preferred":false,"id":944233,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Suzuki, Kenta","contributorId":358830,"corporation":false,"usgs":false,"family":"Suzuki","given":"Kenta","affiliations":[{"id":85686,"text":"Chiba Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":944225,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murayama, Masafumi","contributorId":358831,"corporation":false,"usgs":false,"family":"Murayama","given":"Masafumi","affiliations":[{"id":85687,"text":"Kochi University","active":true,"usgs":false}],"preferred":false,"id":944227,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gemery, Laura 0000-0003-1966-8732","orcid":"https://orcid.org/0000-0003-1966-8732","contributorId":245413,"corporation":false,"usgs":true,"family":"Gemery","given":"Laura","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":944226,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Seike, Koji","contributorId":358832,"corporation":false,"usgs":false,"family":"Seike","given":"Koji","affiliations":[{"id":27746,"text":"Geological Survey of Japan","active":true,"usgs":false}],"preferred":false,"id":944228,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Polyak, Leonid","contributorId":358890,"corporation":false,"usgs":false,"family":"Polyak","given":"Leonid","affiliations":[],"preferred":false,"id":944363,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Joe, Young Jin","contributorId":358891,"corporation":false,"usgs":false,"family":"Joe","given":"Young Jin","affiliations":[],"preferred":false,"id":944364,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Uchida, Shoma","contributorId":358892,"corporation":false,"usgs":false,"family":"Uchida","given":"Shoma","affiliations":[],"preferred":false,"id":944365,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kobayashi, Minoru","contributorId":358893,"corporation":false,"usgs":false,"family":"Kobayashi","given":"Minoru","affiliations":[],"preferred":false,"id":944366,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Onodera, J.","contributorId":31572,"corporation":false,"usgs":true,"family":"Onodera","given":"J.","email":"","affiliations":[],"preferred":false,"id":944367,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Horikawa, Keiji","contributorId":358894,"corporation":false,"usgs":false,"family":"Horikawa","given":"Keiji","affiliations":[],"preferred":false,"id":944368,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Yamamoto, Yuhji","contributorId":358895,"corporation":false,"usgs":false,"family":"Yamamoto","given":"Yuhji","affiliations":[],"preferred":false,"id":944369,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Omori, Takayuki","contributorId":288123,"corporation":false,"usgs":false,"family":"Omori","given":"Takayuki","email":"","affiliations":[],"preferred":false,"id":944229,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Kuwae, Michinobu","contributorId":340182,"corporation":false,"usgs":false,"family":"Kuwae","given":"Michinobu","email":"","affiliations":[{"id":81497,"text":"Ehime University, Matsuyama, Japan","active":true,"usgs":false}],"preferred":false,"id":944230,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Irino, Tomohisa","contributorId":288122,"corporation":false,"usgs":false,"family":"Irino","given":"Tomohisa","email":"","affiliations":[],"preferred":false,"id":944231,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Watanabe, Yutaka","contributorId":358833,"corporation":false,"usgs":false,"family":"Watanabe","given":"Yutaka","affiliations":[{"id":16855,"text":"Hokkaido University","active":true,"usgs":false}],"preferred":false,"id":944232,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Itoh, Motoyo","contributorId":358896,"corporation":false,"usgs":false,"family":"Itoh","given":"Motoyo","affiliations":[],"preferred":false,"id":944370,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Watanabe, Eiji","contributorId":358897,"corporation":false,"usgs":false,"family":"Watanabe","given":"Eiji","affiliations":[],"preferred":false,"id":944371,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
,{"id":70275029,"text":"70275029 - 2025 - Estimating polar bear (Ursus maritimus) age based on an epigenetic DNA methylation clock","interactions":[],"lastModifiedDate":"2026-04-13T14:58:53.110828","indexId":"70275029","displayToPublicDate":"2025-07-28T09:56:01","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":"Estimating polar bear (<i>Ursus maritimus</i>) age based on an epigenetic DNA methylation clock","title":"Estimating polar bear (Ursus maritimus) age based on an epigenetic DNA methylation clock","docAbstract":"<p><span>Knowledge of animal age is essential to wildlife managers for obtaining meaningful and accurate insights into demographic parameters. A common approach to aging wildlife, including bears (</span><i>Ursus</i><span>&nbsp;spp.), has been extracting a tooth during physical capture and counting the cementum annuli. Limitations to tooth-based aging include questionable accuracy and differing results based on the observer and laboratory. DNA methylation-based epigenetic aging clocks have been developed for many species but not yet for polar bears (</span><i>Ursus maritimus</i><span>). We generated DNA methylation data from whole blood samples (</span><i>n</i><span> = 109) obtained during live capture operations from polar bears of known age in the Chukchi Sea and southern Beaufort Sea subpopulations. We used these samples to calibrate a species-specific epigenetic clock to estimate polar bear chronological age from DNA methylation (DNAm) age. The final polar bear clock was highly accurate (</span><i>r</i><span> = 0.97) with a median absolute error of approximately 9 months. We applied the polar bear clock to 74 blood samples from live-captured polar bears with a cementum annuli-estimated age. Predicted age estimates for these bears ranged from 1.43 to 18.63 years compared to the estimated tooth age range of 3.23–25.27. These epigenetic clocks can be used for polar bear research and management where accurate estimates of age are needed for estimating demographic parameters.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.71870","usgsCitation":"Woodruff, S.P., Milciute, M., Gordevicius, J., Brooke, R., and Atwood, T.C., 2025, Estimating polar bear (Ursus maritimus) age based on an epigenetic DNA methylation clock: Ecology and Evolution, v. 15, no. 8, e71870, 10 p., https://doi.org/10.1002/ece3.71870.","productDescription":"e71870, 10 p.","ipdsId":"IP-172796","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":502997,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.71870","text":"Publisher Index Page"},{"id":502743,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"8","noUsgsAuthors":false,"publicationDate":"2025-07-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Woodruff, Susannah P.","contributorId":292629,"corporation":false,"usgs":false,"family":"Woodruff","given":"Susannah","email":"","middleInitial":"P.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":959259,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Milciute, Milda","contributorId":369838,"corporation":false,"usgs":false,"family":"Milciute","given":"Milda","affiliations":[{"id":87875,"text":"Clock Foundation","active":true,"usgs":false}],"preferred":false,"id":959260,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gordevicius, Juozas","contributorId":369839,"corporation":false,"usgs":false,"family":"Gordevicius","given":"Juozas","affiliations":[{"id":87875,"text":"Clock Foundation","active":true,"usgs":false}],"preferred":false,"id":959261,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brooke, Robert","contributorId":369840,"corporation":false,"usgs":false,"family":"Brooke","given":"Robert","affiliations":[{"id":87875,"text":"Clock Foundation","active":true,"usgs":false}],"preferred":false,"id":959262,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":959263,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70272633,"text":"70272633 - 2025 - Arctic fold-and-thrust belts","interactions":[],"lastModifiedDate":"2025-12-01T15:34:30.143513","indexId":"70272633","displayToPublicDate":"2025-07-28T09:28:15","publicationYear":"2025","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Arctic fold-and-thrust belts","docAbstract":"<p><span>The modern Arctic has been formed through a series of continent–continent collisions, accretion of terranes and phases of crustal extension. The Neoproterozoic Timanian, Paleozoic Caledonian and Uralian, and late Mesozoic Verkhoyansk–Kolyma, Chukotkan and Brookian orogenies formed several large fold-and-thrust belts (FTBs). The FTBs are exposed across vast areas of continents and continue offshore to form a complex tectonic basement for thick sedimentary basins, playing an important role in the history of accumulation and deformation of younger unmetamorphosed sedimentary successions that are the subject of this volume. Recognition of the importance of FTBs in the Arctic geological history and their role as a controlling factor of development of Arctic sedimentary basins resulted in this chapter, in which we review the current state of knowledge about Arctic FTBs and highlight questions that remain to be addressed.&nbsp;</span>Enclosure D<span>, a map showing boundaries of the FTB and their internal first-order structural fabric, is a part of the overview.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Geological Society of London Memoir","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geological Society of London","doi":"10.1144/M57-2023-30","usgsCitation":"Drachev, S.S., Khudoley, A.K., Klonowska, I., Majka, J., Moore, T.E., Piepjohn, K., and Prokopiev, A.V., 2025, Arctic fold-and-thrust belts, chap. <i>of</i> Geological Society of London Memoir, v. 57, p. 42-96, https://doi.org/10.1144/M57-2023-30.","productDescription":"55 p.","startPage":"42","endPage":"96","ipdsId":"IP-158726","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":497080,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1144/m57-2023-30","text":"Publisher Index Page"},{"id":496948,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Arctic","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -179.9,\n              89\n            ],\n            [\n              -179.9,\n              55\n            ],\n            [\n              179.9,\n              55\n            ],\n            [\n              179.9,\n              89\n            ],\n            [\n              -179.9,\n              89\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"57","noUsgsAuthors":false,"publicationDate":"2025-07-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Drachev, Sergey S.","contributorId":363067,"corporation":false,"usgs":false,"family":"Drachev","given":"Sergey","middleInitial":"S.","affiliations":[{"id":86605,"text":"ArcGeoLink Ltd Surrey, UK (currently Estonia)","active":true,"usgs":false}],"preferred":false,"id":951055,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Khudoley, Andrey K.","contributorId":363068,"corporation":false,"usgs":false,"family":"Khudoley","given":"Andrey","middleInitial":"K.","affiliations":[{"id":86606,"text":"Institute of Earth Science, St Petersburg State University, Russia","active":true,"usgs":false}],"preferred":false,"id":951056,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klonowska, Iwona","contributorId":363069,"corporation":false,"usgs":false,"family":"Klonowska","given":"Iwona","affiliations":[{"id":86607,"text":"Department of Earth Sciences, Uppsala University, Uppsala Sweden","active":true,"usgs":false}],"preferred":false,"id":951057,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Majka, Jaroslaw","contributorId":363070,"corporation":false,"usgs":false,"family":"Majka","given":"Jaroslaw","affiliations":[{"id":86608,"text":"Faculty of Geology, Geophysics and Environmental Protection, AGJ University of Science and Technology, Kraków, Poland","active":true,"usgs":false}],"preferred":false,"id":951058,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moore, Thomas E. 0000-0002-0878-0457 tmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-0878-0457","contributorId":127538,"corporation":false,"usgs":true,"family":"Moore","given":"Thomas","email":"tmoore@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":951059,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Piepjohn, Karsten","contributorId":363071,"corporation":false,"usgs":false,"family":"Piepjohn","given":"Karsten","affiliations":[{"id":86609,"text":"Federal Institute for Geosciences and Natural Resources, Stilleweg 2, Hannover, Germany","active":true,"usgs":false}],"preferred":false,"id":951060,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Prokopiev, Andrey V.","contributorId":363072,"corporation":false,"usgs":false,"family":"Prokopiev","given":"Andrey","middleInitial":"V.","affiliations":[{"id":86610,"text":"Siberian Branch of the Russian Academy of Sciences, Yakutsk, Russia","active":true,"usgs":false}],"preferred":false,"id":951061,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70269681,"text":"70269681 - 2025 - Potential impacts of 2.3.4.4b highly pathogenic H5N1 avian influenza virus infection on Snow Goose (Anser caerulescens) movement ecology","interactions":[],"lastModifiedDate":"2025-07-30T14:30:39.246941","indexId":"70269681","displayToPublicDate":"2025-07-28T09:25:18","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Potential impacts of 2.3.4.4b highly pathogenic H5N1 avian influenza virus infection on Snow Goose (<i>Anser caerulescens</i>) movement ecology","title":"Potential impacts of 2.3.4.4b highly pathogenic H5N1 avian influenza virus infection on Snow Goose (Anser caerulescens) movement ecology","docAbstract":"<p><span>While wild waterfowl are known reservoirs of avian influenza viruses and facilitate the movement of these viruses, there are notable differences in the response to infection across species. This study explored differential responses to infection with highly pathogenic avian influenza in Snow Geese (</span><i>Anser caerulescens</i><span>) located in the California Central Valley. Though H5 antibody prevalence was high across years among birds sampled in the winter (75% in both years via hemagglutination inhibition), these values were even higher among birds sampled in summer that failed to migrate (i.e., August 2023 = 100% and August 2024 = 93% via hemagglutination inhibition). Birds that failed to migrate were also generally lighter than birds sampled in the winter and presented notable damage to cerebrum and cerebellum. In December 2022, a single individual positive for infection with H5N1 at the time of sampling indicated reduced movement during the 14 days following sampling but completed spring migration comparably with uninfected conspecifics. However, while no birds were actively infected during sampling and marking in 2023, two marked geese departed for migration late and one did not migrate at all. Additional banded birds marked in August have been reencountered in scenarios ranging from hunter harvest at a different site over a year later to found dead shortly after banding. Our data indicate that Snow Geese infected with HPAI have the potential to express variable outcomes following infection with highly pathogenic H5N1, ranging from rapid recovery within a migratory season to death. These data also suggest that the abnormal failure of some Snow Geese to migrate from the Central Valley is likely driven by HPAI infection.</span></p>","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0328149","usgsCitation":"Sullivan, J.D., Casazza, M.L., Poulson, R., Matchett, E., Overton, C.T., Carpenter, M., Lorenz, A., McDuie, F., Derico, M., Howerth, E., Stallknecht, D., and Prosser, D., 2025, Potential impacts of 2.3.4.4b highly pathogenic H5N1 avian influenza virus infection on Snow Goose (Anser caerulescens) movement ecology: PLoS ONE, v. 20, no. 7, e0328149, 15 p., https://doi.org/10.1371/journal.pone.0328149.","productDescription":"e0328149, 15 p.","ipdsId":"IP-176525","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":494435,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0328149","text":"Publisher Index Page"},{"id":493180,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Colusa County","otherGeospatial":"Delevan National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.1179602209491,\n              39.34364395946329\n            ],\n            [\n              -122.1179602209491,\n              39.271203995112444\n            ],\n            [\n              -122.07387656727536,\n              39.271203995112444\n            ],\n            [\n              -122.07387656727536,\n              39.34364395946329\n            ],\n            [\n              -122.1179602209491,\n              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Center","active":true,"usgs":true}],"preferred":true,"id":944403,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poulson, Rebecca L.","contributorId":198807,"corporation":false,"usgs":false,"family":"Poulson","given":"Rebecca L.","affiliations":[{"id":7125,"text":"Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA.","active":true,"usgs":false}],"preferred":false,"id":944404,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Matchett, Elliott 0000-0001-5095-2884 ematchett@usgs.gov","orcid":"https://orcid.org/0000-0001-5095-2884","contributorId":5541,"corporation":false,"usgs":true,"family":"Matchett","given":"Elliott","email":"ematchett@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":944405,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Overton, Cory T. 0000-0002-5060-7447 coverton@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-7447","contributorId":3262,"corporation":false,"usgs":true,"family":"Overton","given":"Cory","email":"coverton@usgs.gov","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":944406,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carpenter, Mike","contributorId":354800,"corporation":false,"usgs":false,"family":"Carpenter","given":"Mike","affiliations":[{"id":84666,"text":"Western Ecological Research Center","active":true,"usgs":false}],"preferred":false,"id":944407,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lorenz, Austen 0000-0003-3657-5941","orcid":"https://orcid.org/0000-0003-3657-5941","contributorId":222610,"corporation":false,"usgs":true,"family":"Lorenz","given":"Austen","email":"","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":944408,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McDuie, Fiona 0000-0002-1948-5613","orcid":"https://orcid.org/0000-0002-1948-5613","contributorId":222936,"corporation":false,"usgs":true,"family":"McDuie","given":"Fiona","email":"","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":944409,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Derico, Michael","contributorId":354801,"corporation":false,"usgs":false,"family":"Derico","given":"Michael","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":944410,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Howerth, Elizabeth","contributorId":354802,"corporation":false,"usgs":false,"family":"Howerth","given":"Elizabeth","affiliations":[{"id":56897,"text":"University of Geogia","active":true,"usgs":false}],"preferred":false,"id":944411,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Stallknecht, David E.","contributorId":225107,"corporation":false,"usgs":false,"family":"Stallknecht","given":"David E.","affiliations":[{"id":36701,"text":"Southeastern Cooperative Wildlife Disease Study, Department of Population Health, College of Veterinary Medicine, University of Georgia","active":true,"usgs":false}],"preferred":false,"id":944412,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Prosser, Diann 0000-0002-5251-1799","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":217931,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":944413,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70269649,"text":"70269649 - 2025 - Dietary bioavailability of uranium to a model freshwater invertebrate","interactions":[],"lastModifiedDate":"2025-08-18T15:16:58.955799","indexId":"70269649","displayToPublicDate":"2025-07-28T09:11:56","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Dietary bioavailability of uranium to a model freshwater invertebrate","docAbstract":"<p><span>Uranium (U) mining increases environmental exposures. Understanding how U is taken up by organisms can aid in evaluating the potential for bioaccumulation and toxicity. Although the importance of aqueous geochemical speciation is well recognized for U bioavailability after dissolved exposures, far less is known about the processes controlling U bioavailability after dietary exposures. This study characterizes the biogeochemical drivers of dietary U uptake in the freshwater snail&nbsp;</span><i>Lymnaea stagnalis</i><span>&nbsp;in laboratory experiments. Solids tested included benthic diatoms pre-exposed to dissolved U(VI), soils from contaminated U mine sites, and colloidal hydrous ferric oxide (HFO) synthesized in the presence of dissolved U(VI) or with U complexed by natural organic matter (NOM). Results showed that U was bioavailable from all solids. Uranium assimilation efficiency (AE), a proxy for dietary U bioavailability, varied among solids. AE was lowest for the U-contaminated soils (25 ± 17%) and highest for the U-laden diatoms (71 ± 13%). AE varied slightly among HFO preparations, suggesting modest influences of NOM and iron on U bioavailability. Increases in dietary U exposures reduced feeding rates, and the extent of feeding inhibition appeared inversely related to U bioavailability. The high U assimilation and range of bioavailability have implications for toxicity risks inferred without considering dietary uptake.</span></p>","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.5c05140","usgsCitation":"Croteau, M.N., Fuller, C.C., Cain, D.J., and Campbell, K.M., 2025, Dietary bioavailability of uranium to a model freshwater invertebrate: Environmental Science and Technology, v. 59, no. 31, p. 16641-16651, https://doi.org/10.1021/acs.est.5c05140.","productDescription":"11 p.","startPage":"16641","endPage":"16651","ipdsId":"IP-172293","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":493091,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"59","issue":"31","noUsgsAuthors":false,"publicationDate":"2025-07-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Croteau, Marie Noele 0000-0003-0346-3580 mcroteau@usgs.gov","orcid":"https://orcid.org/0000-0003-0346-3580","contributorId":895,"corporation":false,"usgs":true,"family":"Croteau","given":"Marie","email":"mcroteau@usgs.gov","middleInitial":"Noele","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":944277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, Christopher C. 0000-0002-2354-8074 ccfuller@usgs.gov","orcid":"https://orcid.org/0000-0002-2354-8074","contributorId":1831,"corporation":false,"usgs":true,"family":"Fuller","given":"Christopher","email":"ccfuller@usgs.gov","middleInitial":"C.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":944278,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cain, Daniel J. 0000-0002-3443-0493 djcain@usgs.gov","orcid":"https://orcid.org/0000-0002-3443-0493","contributorId":1784,"corporation":false,"usgs":true,"family":"Cain","given":"Daniel","email":"djcain@usgs.gov","middleInitial":"J.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":944279,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Campbell, Kate M. 0000-0002-8715-5544 kcampbell@usgs.gov","orcid":"https://orcid.org/0000-0002-8715-5544","contributorId":1441,"corporation":false,"usgs":true,"family":"Campbell","given":"Kate","email":"kcampbell@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":944280,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70270898,"text":"70270898 - 2025 - Suturing fragmented landscapes: Mosaic hybrid zones in plants may facilitate ecosystem resiliency","interactions":[],"lastModifiedDate":"2025-08-26T16:02:58.223558","indexId":"70270898","displayToPublicDate":"2025-07-28T08:58:07","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3164,"text":"Proceedings of the National Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Suturing fragmented landscapes: Mosaic hybrid zones in plants may facilitate ecosystem resiliency","docAbstract":"<p><span>Many widespread plant taxa of western North America have diversified into phenotypically and genetically divergent lineages due to complex biogeographic histories across heterogeneous landscapes. Mosaic hybrid zones can form when geographically co-occurring, yet environmentally distinct, lineages cross-pollinate and form hybrids that occupy unique environmental niches absent of a geographic cline. This expands the total environmental space across which parental and hybrid individuals grow, resulting in larger, less fragmented geographic distributions. Here, we highlight hybridization mosaics across three study systems containing taxa critical to widespread plant communities in western North America:&nbsp;</span><i>Ericameria nauseosa</i><span>,&nbsp;</span><i>Artemisia tridentata</i><span>, and&nbsp;</span><i>Sphaeralcea fendleri</i><span>. The systems contain diverged taxa that co-occur across the landscape and hybridize readily. Hybridization among taxa has facilitated niche expansion into intermediate environments consistent with unique combinations of adaptive genetic variation, creating more continuity within each study system—study systems occupy ~820 to 270,000 km</span><sup>2</sup><span>&nbsp;more geographic area by virtue of hybridization. Furthermore, hybrids are predicted to play important roles in future climates, as they may occupy 8 to 475% larger distributions compared to present. Convergent patterns signal mosaic hybridization as an underappreciated mechanism with broad ecological and evolutionary ramifications. Leveraging mosaic hybridization may assist the creation of restoration management plans that aim to mitigate the deleterious effects of habitat fragmentation on ecosystems in the context of climate change.</span></p>","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.2410941122","usgsCitation":"Massatti, R., Faske, T., Barnes, I.M., Leger, E.A., Parchman, T.L., Richardson, B.A., and Knowles, L.L., 2025, Suturing fragmented landscapes: Mosaic hybrid zones in plants may facilitate ecosystem resiliency: Proceedings of the National Academy of Sciences, v. 122, no. 31, e2410941122, 8p., https://doi.org/10.1073/pnas.2410941122.","productDescription":"e2410941122, 8p.","ipdsId":"IP-167831","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":495063,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.2410941122","text":"Publisher Index Page"},{"id":494913,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"western United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -120.57181221073992,\n              44.92807714069116\n            ],\n            [\n              -120.57181221073992,\n              33.77979877723362\n            ],\n            [\n              -104.39679405973946,\n              33.77979877723362\n            ],\n            [\n              -104.39679405973946,\n              44.92807714069116\n            ],\n            [\n              -120.57181221073992,\n              44.92807714069116\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"122","issue":"31","noUsgsAuthors":false,"publicationDate":"2025-07-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Massatti, Robert 0000-0001-5854-5597","orcid":"https://orcid.org/0000-0001-5854-5597","contributorId":207294,"corporation":false,"usgs":true,"family":"Massatti","given":"Robert","email":"","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":947321,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Faske, Trevor Morgan 0000-0003-4396-4654","orcid":"https://orcid.org/0000-0003-4396-4654","contributorId":356373,"corporation":false,"usgs":true,"family":"Faske","given":"Trevor Morgan","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":947322,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnes, Ivana M.","contributorId":360623,"corporation":false,"usgs":false,"family":"Barnes","given":"Ivana","middleInitial":"M.","affiliations":[{"id":86064,"text":"Department of Ecology and Evolutionary Biology, The University of Michigan, Ann Arbor, MI 48104, USA","active":true,"usgs":false}],"preferred":false,"id":947323,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leger, Elizabeth A.","contributorId":360624,"corporation":false,"usgs":false,"family":"Leger","given":"Elizabeth","middleInitial":"A.","affiliations":[{"id":86065,"text":"Department of Biology, University of Nevada, Reno, NV 89557, USA","active":true,"usgs":false}],"preferred":false,"id":947324,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Parchman, Thomas L.","contributorId":360625,"corporation":false,"usgs":false,"family":"Parchman","given":"Thomas","middleInitial":"L.","affiliations":[{"id":86065,"text":"Department of Biology, University of Nevada, Reno, NV 89557, USA","active":true,"usgs":false}],"preferred":false,"id":947325,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Richardson, Bryce A.","contributorId":360626,"corporation":false,"usgs":false,"family":"Richardson","given":"Bryce","middleInitial":"A.","affiliations":[{"id":86066,"text":"USDA Forest Service, Rocky Mountain Research Station, Moscow, ID 83843, USA","active":true,"usgs":false}],"preferred":false,"id":947326,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Knowles, L. 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,{"id":70269556,"text":"ofr20251022 - 2025 - Contributions of erosion, deposition, and human activities to a change in sand storage in the bed of San Francisco Bay, California, 1980s to 2010s","interactions":[],"lastModifiedDate":"2026-02-03T14:38:01.331405","indexId":"ofr20251022","displayToPublicDate":"2025-07-28T08:39:19","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-1022","displayTitle":"Contributions of Erosion, Deposition, and Human Activities to a Change in Sand Storage in the Bed of San Francisco Bay, California, 1980s to 2010s","title":"Contributions of erosion, deposition, and human activities to a change in sand storage in the bed of San Francisco Bay, California, 1980s to 2010s","docAbstract":"<p>This study by the U.S. Geological Survey (USGS) provides estimates of the change in sand storage in bed sediments from the 1980s to 2010s in the San Francisco Bay area, California. The study is part of a larger project called “Research to Understand Impacts of Bay Sand Mining on Sand Transport in San Francisco Bay and the Outer Coast” that has the goal of providing information for the California Coastal Conservancy to inform decision making regarding sand mining activities. Information from this study will contribute to the sand budget for the San Francisco Bay system by accounting for sand made available by erosion of bay sediment and sequestered by deposition in the bay.</p><p>Sediment budgets for estuaries typically account for change in sediment storage in the bed without discriminating for sediment size. However, the physics of mud and sand erosion, deposition, and transport differ. Sediment budgets that treat mud and sand separately give a more complete understanding of the system, including how human activities related to sediment size, such as sand mining, affect the system. We used bathymetric change analysis in combination with a three-dimensional model to generate estimates of net change in sand storage within the San Francisco Bay floor. We document sediment volume change from a 1980s bathymetric surface to a 2010s bathymetric surface, in combination with information on the sand content of the bed sediment derived from sediment cores and surface samples from six different sediment studies, to estimate the net change in sand volume in the bed of San Francisco Bay. This analysis includes areas heavily affected by human activities (such as sand mining, dredging, and sediment disposal) as well as regions more representative of natural transport processes.</p><p>Overall, the sediment bed of San Francisco Bay is losing sand. Across the total area surveyed in San Francisco Bay, including areas affected by natural processes, oyster shell beds, and human activities, a net loss of about 17 million cubic meters (Mm<sup>3</sup>) of sand from the sediment bed occurred from the 1980s to 2010s, at a rate of about 0.8 Mm<sup>3</sup> per year. For the period of this study, sand loss from bed level changes in permitted sand-lease mining areas (about 11 Mm<sup>3</sup>) accounts for about two-thirds of the total sand loss throughout the study area. It is important to consider potential uncertainty bounds when interpreting these findings. A key part of the report is an assessment of the uncertainties in our estimates of sand volumes. We estimate that variability in modeled sand content values of Bay floor sediments could result in an uncertainty of approximately 25 percent of the net sand volume change. Even larger uncertainty amounts may be associated with uncertainty in the systematic errors in the bathymetric surveys. Further refining estimates of uncertainty in bathymetric change is important in guiding the use of this study. The results presented here can fill a critical gap that may enable the creation of the first comprehensive sand budget of San Francisco Bay.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251022","collaboration":"Prepared in cooperation with the San Francisco Estuary Institute","usgsCitation":"Fregoso, T.A., Jaffe, B.E., Foxgrover, A.C., Woodrow, D.L., Kharrazi, B., and Orzech, K., 2025, Contributions of erosion, deposition, and human activities to a change in sand storage in the bed of San Francisco Bay, California, 1980s to 2010s: U.S. Geological Survey Open-File Report 2025–1022, 30 p., https://doi.org/10.3133/ofr20251022.","productDescription":"Report: vii, 30 p.; 4 Data Releases","numberOfPages":"30","onlineOnly":"Y","ipdsId":"IP-154253","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":492954,"rank":9,"type":{"id":30,"text":"Data 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Cited</li><li>Appendix 1.</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2025-07-28","noUsgsAuthors":false,"publicationDate":"2025-07-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Fregoso, Theresa A. 0000-0001-7802-5812 tfregoso@usgs.gov","orcid":"https://orcid.org/0000-0001-7802-5812","contributorId":2571,"corporation":false,"usgs":true,"family":"Fregoso","given":"Theresa","email":"tfregoso@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":944045,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jaffe, Bruce E. 0000-0002-8816-5920 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0000-0003-3874-7508","orcid":"https://orcid.org/0000-0003-3874-7508","contributorId":193175,"corporation":false,"usgs":false,"family":"Woodrow","given":"Donald","email":"","middleInitial":"L.","affiliations":[{"id":39857,"text":"former USGS contractor","active":true,"usgs":false}],"preferred":false,"id":944048,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kharrazi, Bethany","contributorId":358480,"corporation":false,"usgs":false,"family":"Kharrazi","given":"Bethany","affiliations":[{"id":26935,"text":"Central Washington University","active":true,"usgs":false}],"preferred":false,"id":944049,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Orzech, Kevin","contributorId":334954,"corporation":false,"usgs":false,"family":"Orzech","given":"Kevin","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":944050,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70270715,"text":"70270715 - 2025 - Valuing recreational fishing using creel survey statistics","interactions":[],"lastModifiedDate":"2025-09-09T15:00:39.746579","indexId":"70270715","displayToPublicDate":"2025-07-28T07:52:04","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":22180,"text":"Journal of the Agricultural and Applied Economics Association","active":true,"publicationSubtype":{"id":10}},"title":"Valuing recreational fishing using creel survey statistics","docAbstract":"<p><span>Recreation demand analysis has relied on mail and internet surveys to collect information on individual recreators. However, conducting these surveys is costly and time-consuming. Alternative sources that report aggregate visitation may go unused due to a lack of information about trip starting points. We set up and solve a system of equations that predict reservoir visits and the home locations of recreational anglers. Using mode-level effort statistics from Nebraska creel surveys, we separate the effects of travel cost and site attributes between bank and boat anglers, which allows us to measure heterogenous values for public reservoir access.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/jaa2.70016","usgsCitation":"Boehm, L., Melstrom, R.T., and Pope, K.L., 2025, Valuing recreational fishing using creel survey statistics: Journal of the Agricultural and Applied Economics Association, v. 4, no. 3, p. 378-390, https://doi.org/10.1002/jaa2.70016.","productDescription":"13 p.","startPage":"378","endPage":"390","ipdsId":"IP-164507","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":494740,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":495055,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jaa2.70016","text":"Publisher 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,{"id":70269645,"text":"70269645 - 2025 - Cold-induced vomiting of a white-tailed deer (Odocoileus virginianus) by an invasive Burmese python (Python bivitattus) in Big Cypress National Preserve, Florida, USA","interactions":[],"lastModifiedDate":"2025-07-29T14:26:33.142651","indexId":"70269645","displayToPublicDate":"2025-07-27T09:25:29","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Cold-induced vomiting of a white-tailed deer (<i>Odocoileus virginianus</i>) by an invasive Burmese python (<i>Python bivitattus</i>) in Big Cypress National Preserve, Florida, USA","title":"Cold-induced vomiting of a white-tailed deer (Odocoileus virginianus) by an invasive Burmese python (Python bivitattus) in Big Cypress National Preserve, Florida, USA","docAbstract":"<p><span>The Burmese python (</span><i>Python bivittatus</i><span>) is native to Southeast Asia and has an established invasive population throughout South Florida. As part of the effort to understand invasive python biology and potential impacts to the native ecosystem, we have been using radio-telemetry to investigate feeding rates of adult female pythons. The body size and gape of adult Burmese pythons enable them to consume large native prey items including, but not limited to, white-tailed deer (</span><i>Odocoileus virginianus</i><span>). As an ectothermic species, Burmese pythons' physiological processes, including digestion, are temperature dependent, which may limit their potential invasive range. The low temperature threshold for python digestion is thought to be 20°C within a laboratory setting. Here, we detail an observation of a radio-telemetered female Burmese python that ingested an adult white-tailed deer, retained the deer within the digestive tract for 10 days, and then vomited the deer coinciding with a drop in air temperature as low as 9.4°C. The python survived the vomiting and was alive at the time of publication. To our knowledge, this is the first observation of a free-ranging Burmese python vomiting a deer within the invasive range without direct disturbance from humans at the time of vomiting. This observation provides additional evidence regarding the limits of thermal tolerance, digestion, and feeding habits of invasive Burmese pythons.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.71875","usgsCitation":"Mangione, T., McCargar, G., Metcalf, M., McBride, L.M., Suastegui, E., Perez, J., Eastridge, C., McCollister, M.F., Romagosa, C., Kissel, A.M., Yackel Adams, A.A., and Sandfoss, M.R., 2025, Cold-induced vomiting of a white-tailed deer (Odocoileus virginianus) by an invasive Burmese python (Python bivitattus) in Big Cypress National Preserve, Florida, USA: Ecology and Evolution, v. 15, no. 7, e71875, 6 p., https://doi.org/10.1002/ece3.71875.","productDescription":"e71875, 6 p.","ipdsId":"IP-176535","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":493319,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.71875","text":"Publisher Index Page"},{"id":493093,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Big Cypress National Preserve","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -80.86791003833896,\n              26.267134358722814\n            ],\n            [\n              -81.37312141287171,\n              26.267134358722814\n            ],\n            [\n              -81.37312141287171,\n              25.604189792766476\n            ],\n            [\n              -80.84471155685524,\n              25.608838411655867\n            ],\n            [\n              -80.82537948895192,\n              25.94494031036455\n            ],\n            [\n              -80.86791003833896,\n              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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":944260,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":944261,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Suastegui, Eli X.","contributorId":358841,"corporation":false,"usgs":false,"family":"Suastegui","given":"Eli X.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":944262,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Perez, Josue I.","contributorId":358843,"corporation":false,"usgs":false,"family":"Perez","given":"Josue I.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":944263,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Eastridge, Cohen W.","contributorId":358845,"corporation":false,"usgs":false,"family":"Eastridge","given":"Cohen W.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":944264,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McCollister, Matthew F.","contributorId":264909,"corporation":false,"usgs":false,"family":"McCollister","given":"Matthew","email":"","middleInitial":"F.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":944265,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Romagosa, Christina 0000-0003-1900-5648","orcid":"https://orcid.org/0000-0003-1900-5648","contributorId":299306,"corporation":false,"usgs":false,"family":"Romagosa","given":"Christina","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":944266,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"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":944267,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"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":944268,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"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":944269,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70269752,"text":"70269752 - 2025 - The conundrum of taxonomic uniformitarianism in planktic foraminifera","interactions":[],"lastModifiedDate":"2025-07-31T14:23:30.840961","indexId":"70269752","displayToPublicDate":"2025-07-27T09:18:15","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2998,"text":"Palaeontology","active":true,"publicationSubtype":{"id":10}},"title":"The conundrum of taxonomic uniformitarianism in planktic foraminifera","docAbstract":"<p><span>Planktic foraminiferal species distributions in the modern ocean track environmental features like sea surface temperature (SST). Species shift their distributions as the marine environment changes, providing an analogue for past behaviour. Stationarity of species' ecological tolerances is therefore a first-order assumption of all palaeoenvironmental reconstructions based upon modern analogue methods. In this paper we test the hypothesis that planktic foraminifer species temperature preferences did not change between the Late Pliocene and present, using a dataset which contains faunal abundance data and alkenone palaeotemperature data from the same samples. Our dataset includes 463 samples from 29 localities. Pliocene relative abundances of four taxa (</span><i>Globigerina bulloides</i><span>,&nbsp;</span><i>Globigerinita glutinata</i><span>,&nbsp;</span><i>Neogloboquadrina pachyderma</i><span>&nbsp;and&nbsp;</span><i>Neogloboquadrina incompta</i><span>) are compared to SST estimates of the same age derived using the alkenone unsaturation ratio (<i>U<sup>K</sup>'</i><sub>37</sub></span><span>) palaeothermometer. Core-top abundances of the same taxa were compared to pre-industrial SST. Our Pliocene data are generally concordant with previous work. Pliocene SST responses and those of the pre-industrial are similar, supporting the hypothesis that temperature preferences of planktic foraminifera have been relatively stable since the Late Pliocene. This documentation of stationarity of planktic foraminiferal species' temperature tolerances is helpful in identifying situations where environmental variables other than temperature (e.g. salinity or productivity) exhibit a first-order control on faunal diversity. Our results support the notion of taxonomic uniformitarianism and therefore provide additional confidence in using planktic foraminifera to evaluate both regional and global climate change.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/pala.70018","usgsCitation":"Dowsett, H., Robinson, M.M., Foley, K.M., and Spivey, W., 2025, The conundrum of taxonomic uniformitarianism in planktic foraminifera: Palaeontology, v. 68, no. 4, e70018, 10 p., https://doi.org/10.1111/pala.70018.","productDescription":"e70018, 10 p.","ipdsId":"IP-172361","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":493297,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/pala.70018","text":"Publisher Index Page"},{"id":493238,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"68","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-07-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Dowsett, Harry J. 0000-0003-1983-7524","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":261665,"corporation":false,"usgs":true,"family":"Dowsett","given":"Harry J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":944564,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robinson, Marci M. 0000-0002-9200-4097 mmrobinson@usgs.gov","orcid":"https://orcid.org/0000-0002-9200-4097","contributorId":332062,"corporation":false,"usgs":true,"family":"Robinson","given":"Marci","email":"mmrobinson@usgs.gov","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":944565,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Foley, Kevin M. 0000-0003-1013-462X kfoley@usgs.gov","orcid":"https://orcid.org/0000-0003-1013-462X","contributorId":2543,"corporation":false,"usgs":true,"family":"Foley","given":"Kevin","email":"kfoley@usgs.gov","middleInitial":"M.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":944566,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Spivey, Whittney 0000-0003-1111-3361 wspivey@usgs.gov","orcid":"https://orcid.org/0000-0003-1111-3361","contributorId":214849,"corporation":false,"usgs":true,"family":"Spivey","given":"Whittney","email":"wspivey@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":944567,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70270212,"text":"70270212 - 2025 - Real-time oil spill concentration assessment through fluorescence imaging and deep learning","interactions":[],"lastModifiedDate":"2025-08-18T15:29:16.381499","indexId":"70270212","displayToPublicDate":"2025-07-27T09:15:09","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2331,"text":"Journal of Hazardous Materials","active":true,"publicationSubtype":{"id":10}},"title":"Real-time oil spill concentration assessment through fluorescence imaging and deep learning","docAbstract":"<p><span>Oil spills may pose severe ecological and socioeconomic threats, necessitating rapid and accurate environmental assessment. Traditional assessment methods used to determine the extent of a spill including gas chromatography-mass spectrometry, satellite imaging, and visual surveys, are often time-consuming, expensive, and limited by weather conditions or sampling constraints. Furthermore, these methods frequently struggle to provide real-time data crucial for prompt decision-making during spill emergencies. This study addresses these limitations by combining fluorescence imaging, deep learning, a mobile application, and a data management system for automated and real-time oil spill assessment. Our approach leverages a convolutional neural network architecture for feature extraction coupled with a custom regression model, trained and evaluated on a self-curated comprehensive dataset of 1,530 fluorescence images from two distinct oil types, a napthalenic crude oil and an aromatic-napthalenic crude oil, at concentrations ranging from 0 to 500</span><span>&nbsp;</span><span>mg/L. The proposed approach demonstrates superior performance compared to both traditional machine learning models and more complex deep learning architectures, achieving an R² score of 0.9958 and RMSE of 9.28. The application enables rapid, cost-effective field measurements with robust data tracking and analysis capabilities. This research advances oil spill monitoring technology with a scalable solution that balances accuracy, speed, and accessibility for real-time environmental assessment and emergency response.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhazmat.2025.139374","usgsCitation":"Poudel, B., Xie, J., Guo, C., Watt, O., Pulster, E.L., Patel, R.J., Steevens, J.A., and Xu, D., 2025, Real-time oil spill concentration assessment through fluorescence imaging and deep learning: Journal of Hazardous Materials, v. 496, 139374, 10 p., https://doi.org/10.1016/j.jhazmat.2025.139374.","productDescription":"139374, 10 p.","ipdsId":"IP-177565","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":494021,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"496","noUsgsAuthors":false,"publicationDate":"2025-07-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Poudel, Biplab","contributorId":359506,"corporation":false,"usgs":false,"family":"Poudel","given":"Biplab","affiliations":[{"id":39687,"text":"University of Missouri, Columbia","active":true,"usgs":false}],"preferred":false,"id":945730,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xie, Jiacheng","contributorId":331598,"corporation":false,"usgs":false,"family":"Xie","given":"Jiacheng","email":"","affiliations":[],"preferred":false,"id":945731,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guo, Congyu","contributorId":359509,"corporation":false,"usgs":false,"family":"Guo","given":"Congyu","affiliations":[{"id":39687,"text":"University of Missouri, Columbia","active":true,"usgs":false}],"preferred":false,"id":945732,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Watt, Olivia","contributorId":359518,"corporation":false,"usgs":false,"family":"Watt","given":"Olivia","affiliations":[{"id":78382,"text":"formerly Columbia Environmental Research Center","active":true,"usgs":false}],"preferred":false,"id":945733,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pulster, Erin L. 0000-0003-4574-8613","orcid":"https://orcid.org/0000-0003-4574-8613","contributorId":300266,"corporation":false,"usgs":true,"family":"Pulster","given":"Erin","email":"","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":945734,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Patel, Rishi J.","contributorId":359520,"corporation":false,"usgs":false,"family":"Patel","given":"Rishi","middleInitial":"J.","affiliations":[{"id":16806,"text":"Missouri State University","active":true,"usgs":false}],"preferred":false,"id":945735,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Steevens, Jeffery A. 0000-0003-3946-1229","orcid":"https://orcid.org/0000-0003-3946-1229","contributorId":207511,"corporation":false,"usgs":true,"family":"Steevens","given":"Jeffery","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":945736,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Xu, Dong","contributorId":305418,"corporation":false,"usgs":false,"family":"Xu","given":"Dong","email":"","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":945737,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70269637,"text":"70269637 - 2025 - Wet meadow regeneration through restoration of biophysical feedbacks","interactions":[],"lastModifiedDate":"2025-07-29T15:05:50.007385","indexId":"70269637","displayToPublicDate":"2025-07-27T08:01:23","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5738,"text":"Frontiers in Environmental Science","active":true,"publicationSubtype":{"id":10}},"title":"Wet meadow regeneration through restoration of biophysical feedbacks","docAbstract":"<p><span>Wet meadows are globally significant ecosystems that provide critical hydrological, ecological, and biogeochemical functions, yet their extent has declined dramatically due to land use changes and hydrologic alteration. These sedge-dominated wetlands exist at the drier end of the wetland gradient, maintained by shallow groundwater and periodic inundation. This paper is a global synthesis of the ecological, geomorphic, and hydrological dynamics of wet meadows, with an emphasis on alluvial systems, to inform effective restoration strategies. We compare wet meadows to other wetlands, classify them into palustrine, lacustrine, and alluvial types, then focus on alluvial wet meadows and discuss how their formation and persistence depend on ground and surface water interactions, sediment deposition and flow obstructions, all mediated by biological processes. In particular, we highlight the role of hydric graminoids in resisting erosion and maintaining soil cohesion, how beaver promote meadow persistence, and the significance of wet meadows as carbon sinks. We also present stratigraphic evidence demonstrating that incision, often triggered by anthropogenic activity or changing climate, is the primary mechanism of alluvial wet meadow degradation, resulting in water table decline and shifts in vegetation composition. Restoration requires reversing these incisional processes through techniques that elevate water tables, disperse flow and retain sediment—methods traditionally associated with either soil conservation or stream restoration. These include nature-based solutions that create obstructions such as beaver dams and their analogues, rock and wood-based obstructions and incision trench or gully filling and grading. Given their multifunctional value—including but not limited to flood attenuation, biodiversity support, and carbon sequestration—wet meadows warrant a focused restoration framework. This review advocates for a valley-floor scale restoration paradigm that integrates hydrological reconnection, sediment retention, and biological reinforcement to ensure long-term resilience of these systems in the face of changing climate and land use pressures.</span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/fenvs.2025.1592036","usgsCitation":"Pollock, M., and Norman, L., 2025, Wet meadow regeneration through restoration of biophysical feedbacks: Frontiers in Environmental Science, v. 13, 1592036, 21 p., https://doi.org/10.3389/fenvs.2025.1592036.","productDescription":"1592036, 21 p.","ipdsId":"IP-172248","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":493323,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fenvs.2025.1592036","text":"Publisher Index Page"},{"id":493104,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","noUsgsAuthors":false,"publicationDate":"2025-07-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Pollock, Michael","contributorId":358835,"corporation":false,"usgs":false,"family":"Pollock","given":"Michael","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":944245,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":944246,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70269894,"text":"70269894 - 2025 - Cyanotoxin and domoic acid occurrence, relation with salinity, and potential recreational health risks in U.S. coasts in the 2015 US EPA National Coastal Condition Assessment","interactions":[],"lastModifiedDate":"2025-08-06T15:03:05.123004","indexId":"70269894","displayToPublicDate":"2025-07-27T07:55:22","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1878,"text":"Harmful Algae","active":true,"publicationSubtype":{"id":10}},"title":"Cyanotoxin and domoic acid occurrence, relation with salinity, and potential recreational health risks in U.S. coasts in the 2015 US EPA National Coastal Condition Assessment","docAbstract":"<p><span>In the first nationwide study of cyanotoxins in U.S. estuaries, algal toxins, cyanotoxins, chlorophyll, and salinity were measured in samples collected during the National Coastal Condition Assessment 2015. Anatoxin-a (ANAA), cylindrospermopsin (CYLS), domoic acid (DMAC), and microcystins (MCs) were detected by LC/MS/MS in 0.6, 0.9, 8.3, and 2.0 % of samples with mean concentrations of detections of 0.13, 0.13, 0.53, and 0.49 µg/L, respectively. MCs by ELISA were also evaluated, and 4.0 % of samples had measurable MCs with a mean of 0.78 µg/L. While ANAA and CYLS were detected south of 40° latitude, MCs by ELISA and DMAC occurred nationwide. Results were compared to freshwater recreational health thresholds from the World Health Organization and US Environmental Protection Agency to evaluate potential recreational exposure to MCs and CYLS since marine thresholds do not currently exist. Cyanotoxins were categorized using the 2021 World Health Organization Alert Level Framework for recreational exposure with 99.4, 99.1, 94.7, 98.0, and 44.7 % of samples being at the Vigilance Level for ANAA, CYLS, MCs (ELISA and LC/MS/MS), and chlorophyll, respectively with the remaining samples at Alert Level 1. Chlorophyll had 19.9 and 9.9 % of samples at Alert Level 1 and Alert Level 2, respectively. All cyanotoxins were below US EPA health advisory thresholds. ANAA, CYLS, DMAC, and MCs by ELISA were detected in samples with a wide range of salinities, while MCs by LC/MS/MS only occurred in samples with salinity &lt;5 part per thousand (PPT). The source of cyanotoxins is likely a combination of inland transport and in situ estuarine production.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.hal.2025.102935","usgsCitation":"Donovan, A.R., Laughrey, Z.R., Femmer, R.A., Senegal, S.L., and Loftin, K.A., 2025, Cyanotoxin and domoic acid occurrence, relation with salinity, and potential recreational health risks in U.S. coasts in the 2015 US EPA National Coastal Condition Assessment: Harmful Algae, v. 149, 102935, 14 p., https://doi.org/10.1016/j.hal.2025.102935.","productDescription":"102935, 14 p.","ipdsId":"IP-176602","costCenters":[{"id":84311,"text":"Central Plains Water Science Center","active":true,"usgs":true}],"links":[{"id":494178,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.hal.2025.102935","text":"Publisher Index 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