{"pageNumber":"49","pageRowStart":"1200","pageSize":"25","recordCount":184582,"records":[{"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":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate 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":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science 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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Ian","contributorId":360140,"corporation":false,"usgs":false,"family":"Kovacs","given":"Ian","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":946848,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Connor","contributorId":360142,"corporation":false,"usgs":false,"family":"Johnson","given":"Connor","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":946849,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carroll, Emma","contributorId":360145,"corporation":false,"usgs":false,"family":"Carroll","given":"Emma","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":946850,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jubar, Aaron 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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 Center","active":true,"usgs":true}],"preferred":true,"id":946855,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Christie, Mark R.","contributorId":191035,"corporation":false,"usgs":false,"family":"Christie","given":"Mark","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":946857,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"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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,{"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 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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":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":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics 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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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 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Geogia","active":true,"usgs":false}],"preferred":false,"id":944411,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Stallknecht, David E.","contributorId":225107,"corporation":false,"usgs":false,"family":"Stallknecht","given":"David E.","affiliations":[{"id":36701,"text":"Southeastern Cooperative Wildlife Disease Study, Department of Population Health, College of Veterinary Medicine, University of Georgia","active":true,"usgs":false}],"preferred":false,"id":944412,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Prosser, Diann 0000-0002-5251-1799","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":217931,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":944413,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":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":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},{"id":37277,"text":"WMA - Earth System Processes Division","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. Lacey","contributorId":360627,"corporation":false,"usgs":false,"family":"Knowles","given":"L.","middleInitial":"Lacey","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":947327,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"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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,{"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":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science 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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R.","contributorId":359055,"corporation":false,"usgs":false,"family":"Donovan","given":"Ariel","middleInitial":"R.","affiliations":[{"id":85739,"text":"Metropolitan Community College-Maple Woods used to be at USGS","active":true,"usgs":false}],"preferred":false,"id":944896,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Laughrey, Zachary R. 0000-0002-7630-2078 zlaughrey@usgs.gov","orcid":"https://orcid.org/0000-0002-7630-2078","contributorId":198516,"corporation":false,"usgs":true,"family":"Laughrey","given":"Zachary","email":"zlaughrey@usgs.gov","middleInitial":"R.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":944897,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Femmer, Robin A. 0000-0003-4896-918X","orcid":"https://orcid.org/0000-0003-4896-918X","contributorId":359056,"corporation":false,"usgs":false,"family":"Femmer","given":"Robin","middleInitial":"A.","affiliations":[{"id":85741,"text":"No affiliation, but used to be with USGS","active":true,"usgs":false}],"preferred":false,"id":944898,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Senegal, Sarena L.","contributorId":359057,"corporation":false,"usgs":false,"family":"Senegal","given":"Sarena","middleInitial":"L.","affiliations":[{"id":30739,"text":"United States Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":944899,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Loftin, Keith A. 0000-0001-5291-876X","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":221964,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith","middleInitial":"A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":944900,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70269656,"text":"70269656 - 2025 - A spatial analysis of the groundwater emergence flood hazard in Long Island, New York and near coastal areas surrounding Long Island Sound in New York, Connecticut, and Rhode Island","interactions":[],"lastModifiedDate":"2025-08-01T14:53:14.313529","indexId":"70269656","displayToPublicDate":"2025-07-25T09:42:32","publicationYear":"2025","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":18346,"text":"EarthArXiv","active":true,"publicationSubtype":{"id":32}},"title":"A spatial analysis of the groundwater emergence flood hazard in Long Island, New York and near coastal areas surrounding Long Island Sound in New York, Connecticut, and Rhode Island","docAbstract":"<p><span>Long Island, New York and near coastal areas surrounding Long Island Sound are densely populated and, like other coastal areas, are susceptible to flooding from several potential sources, including stormwater from precipitation events, tidal flooding and storm surge, and groundwater inundation or groundwater emergence flooding. The latter refers to the intersection of a rising water table with land surface or critical infrastructure. Many studies of flood drivers either neglect or only briefly discuss how shallow groundwater conditions may contribute to or exacerbate flood conditions. As part of a comprehensive study of compound flood hazards in the near coastal areas surrounding Long Island and Long Island Sound, a spatial analysis was completed, in cooperation with the Environmental Protection Agency’s Long Island Sound Study, using available regional datasets to characterize the potential hazard for groundwater emergence flooding.</span><br><span>The approximately 3,100 square mile study area was subdivided into 11,407 900-meter by 900-meter (approximately 3,000-feet by 3,000-feet) grid cells, for the purposes of integrating the spatial datasets to calculate and map the groundwater emergence flood hazard. The depth to the water table, hydrologic soil groups, and National Land Cover Database were harmonized to the common grid. A groundwater emergence flood hazard rank was calculated for each grid cell for current average conditions following a set of rules accounting for the depth to the water table and the percent of area within each cell with slow infiltrating soils. A higher sea level position scenario was also calculated for the Long Island part of the study area. The calculated groundwater emergence flood hazard rank was reviewed in concert with the National Land Cover Data Base to identify developed areas and associated infrastructure that may be at risk to groundwater emergence flooding.</span><br><span>Study results indicate that the groundwater emergence flood hazard is highest in coastal areas and near surface water where the water table is close to ground surface. Inland areas away from surface water bodies are not likely to be exposed to groundwater emergence flooding. For Long Island, under a scenario with higher sea level position, a greater groundwater emergence flood hazard is calculated in some locations closer to the coast and where land is submerged. Away from the coast and surface-water drainage, the groundwater emergence flood hazard is similar between the current average sea level condition and a higher sea level position scenario.</span></p>","language":"English","publisher":"EarthArXiv","doi":"10.31223/X5HB28","usgsCitation":"Masterson, K., Welk, R., Barclay, J.R., Jahn, K., and Herdman, L.M., 2025, A spatial analysis of the groundwater emergence flood hazard in Long Island, New York and near coastal areas surrounding Long Island Sound in New York, Connecticut, and Rhode Island: EarthArXiv, preprint posted July 25, 2025, https://doi.org/10.31223/X5HB28.","productDescription":"29 p.","ipdsId":"IP-171997","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":493342,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2025-07-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Masterson, Kristina Kirkyla 0000-0001-7717-0751","orcid":"https://orcid.org/0000-0001-7717-0751","contributorId":357505,"corporation":false,"usgs":true,"family":"Masterson","given":"Kristina Kirkyla","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":944286,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welk, Robert J. 0000-0003-0852-5584","orcid":"https://orcid.org/0000-0003-0852-5584","contributorId":202876,"corporation":false,"usgs":true,"family":"Welk","given":"Robert J.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":944287,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barclay, Janet R. 0000-0003-1643-6901 jbarclay@usgs.gov","orcid":"https://orcid.org/0000-0003-1643-6901","contributorId":222437,"corporation":false,"usgs":true,"family":"Barclay","given":"Janet","email":"jbarclay@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":944288,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jahn, Kalle 0000-0002-4976-0137","orcid":"https://orcid.org/0000-0002-4976-0137","contributorId":333053,"corporation":false,"usgs":true,"family":"Jahn","given":"Kalle","email":"","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":944289,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Herdman, Liv M. 0000-0002-5444-6441 lherdman@usgs.gov","orcid":"https://orcid.org/0000-0002-5444-6441","contributorId":149964,"corporation":false,"usgs":true,"family":"Herdman","given":"Liv","email":"lherdman@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":944290,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70269604,"text":"70269604 - 2025 - Reflections on a trio of North American earthquakes in 1925","interactions":[],"lastModifiedDate":"2025-12-15T16:24:36.85827","indexId":"70269604","displayToPublicDate":"2025-07-25T08:49:44","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Reflections on a trio of North American earthquakes in 1925","docAbstract":"<p><span>In 1925, three moderately large damaging earthquakes occurred in North America over four months: the 28 February (local time; LT)&nbsp;</span><strong>M</strong><span>&nbsp;6.2 Charlevoix, 27 June (LT)&nbsp;</span><strong>M</strong><span>&nbsp;6.6 Montana, and 29 June&nbsp;</span><strong>M</strong><span>&nbsp;6.5 Santa Barbara earthquakes. The centennial anniversaries of these events motivated this retrospective consideration focused on the ground motions generated by the three events, including a reconsideration of early intensity assignments for the Montana earthquake. At the time, these three earthquakes appeared to support the arguments of some geologists who downplayed the severity of seismic hazard in southern California relative to other parts of the country. Some of the arguments advanced at that time, for example that Los Angeles “has the least to fear from ‘Acts of God’ of any city under the American flag,” (</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf34\">Hill, 1928</a><span>) sound naïve if not laughable now, but a comparison of well‐constrained shaking distributions for the three earthquakes reveals the dramatic difference in wave propagation efficiency in western versus eastern North America (ENAM), which leads to moderate ENAM events being felt to much larger distances. At&nbsp;</span><strong>M</strong><span>&nbsp;6.2, the 1925 Charlevoix earthquake was a notably large event in ENAM. This earthquake was the largest event in eastern Canada since 1870 and caused damage in the epicentral region in addition to towns as far away as 200&nbsp;km, with felt shaking extending over 1000&nbsp;km. In contrast, felt shaking from the Santa Barbara earthquake barely extended beyond ∼200&nbsp;km. Compiling published intensity distributions for larger ENAM earthquakes, we show that perceptible earthquake shaking is not uncommon in ENAM over century time scales, but experience with weakly felt shaking may incline people to downplay potential earthquake risk.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220250149","usgsCitation":"Hough, S., Lamontagne, M., Ebel, J.E., and Baise, L., 2025, Reflections on a trio of North American earthquakes in 1925: Seismological Research Letters, v. 97, no. 1, p. 548-563, https://doi.org/10.1785/0220250149.","productDescription":"16 p.","startPage":"548","endPage":"563","ipdsId":"IP-177706","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":492992,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":493792,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0220250149","text":"Publisher Index Page"}],"country":"Canada, United States","state":"California, Montana, Quebec","city":"Charlevoix, Santa Barabara","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -59.53926709002974,\n              53.87081636094325\n            ],\n            [\n              -83.28222707125245,\n              53.87081636094325\n            ],\n            [\n              -83.28222707125245,\n              38.33111191824375\n            ],\n            [\n              -59.53926709002974,\n              38.33111191824375\n            ],\n            [\n              -59.53926709002974,\n              53.87081636094325\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -118.68351578110878,\n              50.1420000300991\n            ],\n            [\n              -118.68351578110878,\n              41.07790483235203\n            ],\n            [\n              -105.88082499225033,\n              41.07790483235203\n            ],\n            [\n              -105.88082499225033,\n              50.1420000300991\n            ],\n            [\n              -118.68351578110878,\n              50.1420000300991\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -120.32391559009457,\n              34.119859058363375\n            ],\n            [\n              -116.7888148930596,\n              34.119859058363375\n            ],\n            [\n              -116.7888148930596,\n              37.37154662231801\n            ],\n            [\n              -122.49989970320146,\n              37.667148547520824\n            ],\n            [\n              -120.32391559009457,\n              34.119859058363375\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"97","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-07-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Hough, Susan E. 0000-0002-5980-2986","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":350979,"corporation":false,"usgs":true,"family":"Hough","given":"Susan E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":944166,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lamontagne, Maurice","contributorId":358790,"corporation":false,"usgs":false,"family":"Lamontagne","given":"Maurice","affiliations":[{"id":85683,"text":"Canadian Geological Survey","active":true,"usgs":false}],"preferred":false,"id":944167,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ebel, John E.","contributorId":198671,"corporation":false,"usgs":false,"family":"Ebel","given":"John","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":944168,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baise, L.","contributorId":358791,"corporation":false,"usgs":false,"family":"Baise","given":"L.","affiliations":[{"id":6936,"text":"Tufts University","active":true,"usgs":false}],"preferred":false,"id":944169,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70270106,"text":"70270106 - 2025 - The impact of the May 1921 superstorm on American telecommunication systems","interactions":[],"lastModifiedDate":"2025-08-11T15:09:51.182641","indexId":"70270106","displayToPublicDate":"2025-07-25T08:03:07","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3456,"text":"Space Weather","active":true,"publicationSubtype":{"id":10}},"title":"The impact of the May 1921 superstorm on American telecommunication systems","docAbstract":"A compilation is presented of impacts (interference and damage) realized on long-line telegraph\nand telephone systems across North America during the 13-16 May 1921 magnetic storm. Impacts\noccurred primarily during local nighttime, after the third of four sudden commencements, and\nduring the storm’s most-prominent main phase. Impacts are attributed to rapid and high-amplitude\ngeomagnetic field variation generated by substorms. This induced potential di erences and\nbetween the grounding points of communication networks that were su cient to cause system\ninterference and damage. In the United States, impacts were concentrated in the Midwest and in\nthe East, regions characterized by high electromagnetic surface impedance. Given technological\nchanges, modern telecommunication systems are less exposed to storms like that of May 1921,\nwhile power-grid systems are now more exposed to them.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025SW004563","usgsCitation":"Love, J.J., Lucas, G.M., Kelbert, A., Schnepf, N.R., Bedrosian, P.A., and McBride, S., 2025, The impact of the May 1921 superstorm on American telecommunication systems: Space Weather, v. 23, no. 7, e2025SW004563, 7 p., https://doi.org/10.1029/2025SW004563.","productDescription":"e2025SW004563, 7 p.","ipdsId":"IP-176044","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":494187,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025sw004563","text":"Publisher Index Page"},{"id":493931,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -112.04591235883407,\n              48.55929857106818\n            ],\n            [\n              -113.11562382583244,\n              44.989521883693286\n            ],\n            [\n              -97.39942377885234,\n              45.62679588654639\n            ],\n            [\n              -94.09937380848437,\n              36.67842728651029\n            ],\n            [\n              -73.77940090499652,\n              39.39897652697945\n            ],\n            [\n              -62.59060976277681,\n              46.438434374285634\n            ],\n            [\n              -112.04591235883407,\n              48.55929857106818\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"23","issue":"7","noUsgsAuthors":false,"publicationDate":"2025-07-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":945467,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lucas, Greg M.","contributorId":359448,"corporation":false,"usgs":false,"family":"Lucas","given":"Greg","middleInitial":"M.","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":945468,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelbert, Anna","contributorId":359449,"corporation":false,"usgs":false,"family":"Kelbert","given":"Anna","affiliations":[{"id":85814,"text":"Harvard-Smithsonian Center for Astrophysics, Cambridge, Massachusetts, 02138, USA","active":true,"usgs":false}],"preferred":false,"id":945469,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schnepf, Neesha R.","contributorId":359450,"corporation":false,"usgs":false,"family":"Schnepf","given":"Neesha","middleInitial":"R.","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":945470,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":945471,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McBride, Sara K. 0000-0002-8062-6542","orcid":"https://orcid.org/0000-0002-8062-6542","contributorId":206933,"corporation":false,"usgs":true,"family":"McBride","given":"Sara K.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":945472,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70269639,"text":"70269639 - 2025 - Detroit River becoming a crucible for boundary organization experimentation","interactions":[],"lastModifiedDate":"2025-12-15T16:28:08.75303","indexId":"70269639","displayToPublicDate":"2025-07-24T09:51:12","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Detroit River becoming a crucible for boundary organization experimentation","docAbstract":"<p><span>The Detroit River has a long history of human use and abuse, resulting in public outcry over water pollution and resource degradation. This public outcry helped catalyze the enactment of many laws and the Canada-U.S. Great Lakes Water Quality Agreement which led to enhanced research, monitoring, and water pollution control. As pollution from industries and municipal wastewater treatment plants came under control and progress was made in management of single species, the focus shifted to a more comprehensive ecosystem approach that accounted for all the sources of pollution and targeted restoring ecosystem health with resilience. Over time, the Detroit River became a “proving ground” or crucible for experimenting with boundary organizations to overcome geographical, political, institutional, and disciplinary boundaries and strengthen science-policy-management linkages for ecosystem-based management. This study identified 15 boundary organizations functioning in the Detroit River watershed and evaluated two case studies – St. Clair-Detroit River System Initiative and State of the Strait Conferences. Key lessons learned from this study include: 1) establishing boundary organizations, promoting cooperative learning, and building capacity for boundary-spanning are essential for use of an ecosystem approach; 2) boundary spanning requires specific skills, experience, and improved linkages between research and practice; 3) the 15 boundary organizations provide a unique opportunity to collaborate in a community of practice to share knowledge, foster cooperative learning, enhance problem-solving, build trust, and demonstrate leadership; and 4) continued actionable science, investment in capacity building, and cooperative learning are essential to meet long-term goals of sustainability.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2025.102645","usgsCitation":"Hartig, J., DeBruyne, R.L., Stammler, K., Boase, J., and Roseman, E., 2025, Detroit River becoming a crucible for boundary organization experimentation: Journal of Great Lakes Research, v. 51, no. 6, 102645, 10 p., https://doi.org/10.1016/j.jglr.2025.102645.","productDescription":"102645, 10 p.","ipdsId":"IP-171476","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":493101,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Detroit River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -82.22167469210642,\n              43.0402928758875\n            ],\n            [\n              -82.55406350661367,\n              43.09868747044237\n            ],\n            [\n              -83.65943015206881,\n              41.725636443035626\n            ],\n            [\n              -82.97765363843612,\n              41.61954475591833\n            ],\n            [\n              -82.32596717026999,\n              42.31966777421121\n            ],\n            [\n              -82.22167469210642,\n              43.0402928758875\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"51","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-07-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Hartig, John H.","contributorId":358837,"corporation":false,"usgs":false,"family":"Hartig","given":"John H.","affiliations":[{"id":48871,"text":"University of Windsor","active":true,"usgs":false}],"preferred":false,"id":944247,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeBruyne, Robin L. 0000-0002-9232-7937 rdebruyne@usgs.gov","orcid":"https://orcid.org/0000-0002-9232-7937","contributorId":4936,"corporation":false,"usgs":true,"family":"DeBruyne","given":"Robin","email":"rdebruyne@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":944248,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stammler, Katie","contributorId":291256,"corporation":false,"usgs":false,"family":"Stammler","given":"Katie","email":"","affiliations":[{"id":39523,"text":"Essex Region Conservation Authority","active":true,"usgs":false}],"preferred":false,"id":944249,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boase, James C.","contributorId":38077,"corporation":false,"usgs":false,"family":"Boase","given":"James C.","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":944250,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roseman, Edward F. 0000-0002-5315-9838","orcid":"https://orcid.org/0000-0002-5315-9838","contributorId":217909,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":944251,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70269561,"text":"70269561 - 2025 - Proactive assisted gene flow for Caribbean corals in an era of rapid coral reef decline","interactions":[],"lastModifiedDate":"2025-07-28T14:51:25.048227","indexId":"70269561","displayToPublicDate":"2025-07-24T09:46:17","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Proactive assisted gene flow for Caribbean corals in an era of rapid coral reef decline","docAbstract":"<p><span>Coral reefs are one of the most well-documented marine ecosystems under increasing threat from climate change. Catastrophic episodes of coral bleaching and subsequent mortality caused by prolonged heat stress (</span><i>1</i><span>) highlight the need to test and implement new approaches to prevent species loss and retain ecosystem function (</span><i>2</i><span>). One of these approaches is assisted gene flow (AGF)—the managed movement of individuals or gametes between populations within species ranges to mitigate local maladaptation (</span><i>3</i><span>). AGF has recently been approved to help save elkhorn corals in Florida from local extirpation but faces challenges for its broader application owing to static regulatory frameworks whose precautionary nature does not readily account for the high cost of inaction in response to the dynamic ecological realities of climate change (</span><i>4</i><span>,&nbsp;</span><i>5</i><span>). Here, we highlight how regulatory action could help safely facilitate coral AGF across international boundaries, at least in the tropical western Atlantic (Caribbean).</span></p>","language":"English","publisher":"AAAS","doi":"10.1126/science.adx5842","usgsCitation":"Baker, A.C., Baums, I.B., Davies, S., Grottoli, A., Kenkel, C., Kitchen, S., Kuffner, I.B., Matz, M., Miller, M., Muller, E.M., Parkinson, J., Prada, C., Shantz, A., van Hooidonk, R., and Winters, R., 2025, Proactive assisted gene flow for Caribbean corals in an era of rapid coral reef decline: Science, v. 389, no. 6758, p. 344-347, https://doi.org/10.1126/science.adx5842.","productDescription":"4 p.","startPage":"344","endPage":"347","ipdsId":"IP-172064","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":492999,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Caribbean Sea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -59.023609071131716,\n              36.170908359280716\n            ],\n            [\n              -110.51583921822171,\n              36.170908359280716\n            ],\n            [\n              -110.51583921822171,\n              5.9554240007665555\n            ],\n            [\n              -59.023609071131716,\n              5.9554240007665555\n            ],\n            [\n              -59.023609071131716,\n              36.170908359280716\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"389","issue":"6758","noUsgsAuthors":false,"publicationDate":"2025-07-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Baker, Andrew C.","contributorId":297503,"corporation":false,"usgs":false,"family":"Baker","given":"Andrew","email":"","middleInitial":"C.","affiliations":[{"id":5112,"text":"University of Miami","active":true,"usgs":false}],"preferred":false,"id":944057,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baums, Iliana B. 0000-0001-6463-7308","orcid":"https://orcid.org/0000-0001-6463-7308","contributorId":190566,"corporation":false,"usgs":false,"family":"Baums","given":"Iliana","email":"","middleInitial":"B.","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":944058,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davies, Sarah W.","contributorId":358655,"corporation":false,"usgs":false,"family":"Davies","given":"Sarah W.","affiliations":[{"id":13570,"text":"Boston University","active":true,"usgs":false}],"preferred":false,"id":944059,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grottoli, Andrea G.","contributorId":267953,"corporation":false,"usgs":false,"family":"Grottoli","given":"Andrea G.","affiliations":[{"id":36630,"text":"Ohio State University","active":true,"usgs":false}],"preferred":false,"id":944060,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kenkel, Carly D.","contributorId":358658,"corporation":false,"usgs":false,"family":"Kenkel","given":"Carly D.","affiliations":[{"id":13249,"text":"University of Southern California","active":true,"usgs":false}],"preferred":false,"id":944061,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kitchen, Sheila A.","contributorId":358661,"corporation":false,"usgs":false,"family":"Kitchen","given":"Sheila A.","affiliations":[{"id":78411,"text":"Texas A&M University at Galveston","active":true,"usgs":false}],"preferred":false,"id":944062,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kuffner, Ilsa B. 0000-0001-8804-7847 ikuffner@usgs.gov","orcid":"https://orcid.org/0000-0001-8804-7847","contributorId":3105,"corporation":false,"usgs":true,"family":"Kuffner","given":"Ilsa","email":"ikuffner@usgs.gov","middleInitial":"B.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":944063,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Matz, Mikhail V.","contributorId":358664,"corporation":false,"usgs":false,"family":"Matz","given":"Mikhail V.","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":944064,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Miller, Margaret W.","contributorId":358667,"corporation":false,"usgs":false,"family":"Miller","given":"Margaret W.","affiliations":[{"id":48605,"text":"SECORE International","active":true,"usgs":false}],"preferred":false,"id":944065,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Muller, Erinn M.","contributorId":303100,"corporation":false,"usgs":false,"family":"Muller","given":"Erinn","email":"","middleInitial":"M.","affiliations":[{"id":13147,"text":"Mote Marine Laboratory","active":true,"usgs":false}],"preferred":false,"id":944066,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Parkinson, John E.","contributorId":358670,"corporation":false,"usgs":false,"family":"Parkinson","given":"John E.","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":944067,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Prada, Carlos","contributorId":350904,"corporation":false,"usgs":false,"family":"Prada","given":"Carlos","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":944068,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Shantz, Andrew A.","contributorId":358673,"corporation":false,"usgs":false,"family":"Shantz","given":"Andrew A.","affiliations":[{"id":85670,"text":"University of Hawai’i Manoa","active":true,"usgs":false}],"preferred":false,"id":944069,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"van Hooidonk, R.","contributorId":358674,"corporation":false,"usgs":false,"family":"van Hooidonk","given":"R.","affiliations":[{"id":85672,"text":"NOAA AOML","active":true,"usgs":false}],"preferred":false,"id":944070,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Winters, R. Scott","contributorId":358675,"corporation":false,"usgs":false,"family":"Winters","given":"R. Scott","affiliations":[{"id":85673,"text":"Coral Restoration Foundation","active":true,"usgs":false}],"preferred":false,"id":944071,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70270366,"text":"70270366 - 2025 - Benchmarking shoreline prediction models over multi-decadal timescales","interactions":[],"lastModifiedDate":"2025-08-18T14:37:00.840674","indexId":"70270366","displayToPublicDate":"2025-07-24T09:14:42","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8956,"text":"Communications Earth & Environment","active":true,"publicationSubtype":{"id":10}},"title":"Benchmarking shoreline prediction models over multi-decadal timescales","docAbstract":"<p><span>Robust predictions of shoreline change are critical for sustainable coastal management. Despite advancements in shoreline models, objective benchmarking remains limited. Here we present results from ShoreShop2.0, an international collaborative benchmarking workshop, where 34 groups submitted shoreline change predictions in a blind competition. Subsets of shoreline observations at an undisclosed site (BeachX) over short (5-year) and medium (50-year) periods were withheld from modelers and used for model benchmarking. Using satellite-derived shoreline datasets for calibration and evaluation, the best performing models achieved prediction accuracies on the order of 10 m, comparable to the accuracy of the satellite shoreline data, indicating that certain beaches can be modelled nearly as well as they can be remotely observed. The outcomes from this collaborative benchmarking competition critically review the present state-of-the-art in shoreline change prediction as well as reveal model limitations, facilitate improvements, and offer insights for advancing shoreline-prediction capabilities.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s43247-025-02550-4","usgsCitation":"Mao, Y., Coco, G., Vitousek, S., Antolinez, J.A., Azorakos, G., Banno, M., Bouvier, C., Bryan, K., Cagigal, L., Calcraft, K., Castelle, B., Chen, X., D'Anna, M., de Freitas Pereira, L., de Santiago, I., Deshmukh, A., Dong, B., Elghandour, A., Gohari, A., Gomez-de la Peña, E., Harley, M.D., Ibrahim, M., Idier, D., Jaramillo Cardona, C., Lim, C., Mingo, I., O'Grady, J., Pais, D., Repina, O., Robinet, A., Roelvink, D., Simmons, J., Sogut, E., Wilson, K., and Splinter, K., 2025, Benchmarking shoreline prediction models over multi-decadal timescales: Communications Earth & Environment, v. 6, 581, 15 p., https://doi.org/10.1038/s43247-025-02550-4.","productDescription":"581, 15 p.","ipdsId":"IP-176655","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":494452,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s43247-025-02550-4","text":"Publisher Index Page"},{"id":494255,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Australia","state":"New South Wales","otherGeospatial":"Curl Curl Beach","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              151.28764961958893,\n              -33.740052047115455\n            ],\n            [\n              151.28764961958893,\n              -33.78320924309755\n            ],\n            [\n              151.33874708018328,\n              -33.78320924309755\n            ],\n            [\n              151.33874708018328,\n              -33.740052047115455\n            ],\n            [\n              151.28764961958893,\n              -33.740052047115455\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"6","noUsgsAuthors":false,"publicationDate":"2025-07-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Mao, Yongjing","contributorId":359742,"corporation":false,"usgs":false,"family":"Mao","given":"Yongjing","affiliations":[{"id":80179,"text":"UNSW Sydney","active":true,"usgs":false}],"preferred":false,"id":946204,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coco, Giovanni","contributorId":359744,"corporation":false,"usgs":false,"family":"Coco","given":"Giovanni","affiliations":[{"id":38833,"text":"University of Auckland","active":true,"usgs":false}],"preferred":false,"id":946206,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vitousek, Sean 0000-0002-3369-4673 svitousek@usgs.gov","orcid":"https://orcid.org/0000-0002-3369-4673","contributorId":149065,"corporation":false,"usgs":true,"family":"Vitousek","given":"Sean","email":"svitousek@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":946207,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Antolinez, Jose A. 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