Hydrologic alterations within the Everglades have degraded American alligator (Alligator mississippiensis) habitat, reduced prey base, and increased physiological stress. Alligator body condition declined across many management areas from 2000 through 2014, prompting us to investigate the relationship between their intraspecific isotopic niche dynamics and body condition. Alligators within the estuary had a larger niche driven by a wider range in stable carbon isotope ratios than those sampled in freshwater habitats. Spatially, model predictability was higher at the smaller scale, reflecting the variability in basal sources and biochemistry among capture sites. Male niches were often larger than those of females, driven by wider ranges of δ13C values, suggesting that they differ in their proportional use of habitats and or resources. However, the similar ranges of δ15N values indicated both sexes foraged within the same trophic level. Furthermore, while not significantly different, large alligators often had a larger niche with elevated δ15N values compared to medium-sized alligators. Although alligators utilize similar stable carbon and nitrogen isotope pools through time, there was considerable temporal variability. These temporal variations in alligators’ isotopic niche were likely influenced by seasonal hydrologic fluctuations within each site, with their niches often being larger in the spring captures than the fall captures. Alligators’ body condition estimates were correlated with intraspecific niche characteristics, including the mean centroid distance between sexes and the interaction between male and female niche size and overlap, within a site, capture period, and year. The variability in intraspecific niche dynamics, landscape heterogeneity, and dynamic hydrology are considerations for designing sustainable management strategies to conserve and enhance alligator populations within the Everglades landscape.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0326148","usgsCitation":"Denton, M., Cherkiss, M., Mazzotti, F.J., Brandt, L.A., Godfrey, S.T., Johnson, D., and Hart, K., 2025, Isotopic niche plasticity of American alligators within the southern Everglades: PLoS ONE, v. 20, no. 6, e0326148, 29 p., https://doi.org/10.1371/journal.pone.0326148.","productDescription":"e0326148, 29 p.","ipdsId":"IP-152063","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":492082,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0326148","text":"Publisher Index Page"},{"id":491899,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"southern Everglades","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.15227880692397,\n 26.64313806276658\n ],\n [\n -82.15227880692397,\n 25.088643124435762\n ],\n [\n -79.51780855484174,\n 25.088643124435762\n ],\n [\n -79.51780855484174,\n 26.64313806276658\n ],\n [\n -82.15227880692397,\n 26.64313806276658\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"20","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Denton, Mathew 0000-0002-1024-3722","orcid":"https://orcid.org/0000-0002-1024-3722","contributorId":210504,"corporation":false,"usgs":true,"family":"Denton","given":"Mathew","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":942428,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cherkiss, Michael 0000-0002-7802-6791","orcid":"https://orcid.org/0000-0002-7802-6791","contributorId":222180,"corporation":false,"usgs":true,"family":"Cherkiss","given":"Michael","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":942429,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mazzotti, Frank J.","contributorId":146647,"corporation":false,"usgs":false,"family":"Mazzotti","given":"Frank","email":"","middleInitial":"J.","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":942430,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brandt, Laura A.","contributorId":146646,"corporation":false,"usgs":false,"family":"Brandt","given":"Laura","email":"","middleInitial":"A.","affiliations":[{"id":6927,"text":"USFWS, National Wildlife Refuge System","active":true,"usgs":false}],"preferred":false,"id":942431,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Godfrey, Sidney T.","contributorId":302877,"corporation":false,"usgs":false,"family":"Godfrey","given":"Sidney","email":"","middleInitial":"T.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":942432,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Darren 0000-0002-0502-6045","orcid":"https://orcid.org/0000-0002-0502-6045","contributorId":203921,"corporation":false,"usgs":true,"family":"Johnson","given":"Darren","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":942433,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hart, Kristen 0000-0002-5257-7974","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":222407,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":942434,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70275013,"text":"70275013 - 2025 - Hemoglobin A1c is a retrospective indicator of denning in polar bears (Ursus maritimus)","interactions":[],"lastModifiedDate":"2026-04-10T15:03:40.29119","indexId":"70275013","displayToPublicDate":"2025-06-27T07:56:18","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Hemoglobin A1c is a retrospective indicator of denning in polar bears (Ursus maritimus)","title":"Hemoglobin A1c is a retrospective indicator of denning in polar bears (Ursus maritimus)","docAbstract":"The nutritional health of polar bears (Ursus maritimus) is tied to reproductive success, and fasting status can be used to infer recent reproductive history. However, the methods currently used to determine denning and fasting status have their limitations. We examined hemoglobin A1c (HbA1c), an integrative metric of average blood glucose levels over recent months, in free-ranging Southern Beaufort Sea polar bears to assess its usefulness in determining reproductive status and fasting. We compared HbA1c between bears recently in maternity dens that included spring-captured females that were accompanied by cubs-of-the-year (n = 38), and non-denned bears that included spring-captured females that were accompanied by 1- or 2-yr-old cubs (n = 39). We predicted that HbA1c would be higher in denned females compared to non-denned females, due to the combined effects of increased circulating glucose associated with insulin resistance from fasting and gestation, as well as the energy mobilization required during early lactation. HbA1c was measured in Polar Bear whole blood samples using an enzymatic assay for quantifying HbA1c and expressed as the percentage of glycated hemoglobin over total hemoglobin. Denned females had higher mean HbA1c (x̅ 4.70%, 95% CI = 4.54%, 4.86%) than non-denned (x̅ 4.38%, 95% CI = 4.23%, 4.53%, P = 0.005). We trained a binary logistic regression model to classify the probability of recent prior denning based on HbA1c and glucose, and the model classified denning with 75% accuracy. HbA1c can be used as an effective tool for determining denning history and could have implications for monitoring reproductive success.
","language":"English","doi":"\\10.1093/jmammal/gyaf033","usgsCitation":"Teman, S.J., Atwood, T.C., Laidre, K.L., Virgin, E.E., Rode, K.D., Rispoli, L.A., and Curry, E., 2025, Hemoglobin A1c is a retrospective indicator of denning in polar bears (Ursus maritimus): Journal of Mammalogy, v. 106, no. 5, p. 1167-1177, https://doi.org/\\10.1093/jmammal/gyaf033.","productDescription":"11 p.","startPage":"1167","endPage":"1177","ipdsId":"IP-170021","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":502681,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alsaka, Northwest Territories, Yukon","otherGeospatial":"South Beaufort Sea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -157.19395086404143,\n 71.61659747066233\n ],\n [\n -157.19395086404143,\n 68.87521333179674\n ],\n [\n -121.11928026506885,\n 68.87521333179674\n ],\n [\n -121.11928026506885,\n 71.61659747066233\n ],\n [\n -157.19395086404143,\n 71.61659747066233\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"106","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-06-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Teman, Sarah J.","contributorId":352066,"corporation":false,"usgs":false,"family":"Teman","given":"Sarah","middleInitial":"J.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":959196,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":959197,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Laidre, Kristin L.","contributorId":191798,"corporation":false,"usgs":false,"family":"Laidre","given":"Kristin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":959198,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Virgin, Emily E.","contributorId":369807,"corporation":false,"usgs":false,"family":"Virgin","given":"Emily","middleInitial":"E.","affiliations":[{"id":87851,"text":"Center for Conservation and Research of Endangered Wildlife","active":true,"usgs":false}],"preferred":false,"id":959199,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":959200,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rispoli, Louisa A.","contributorId":369808,"corporation":false,"usgs":false,"family":"Rispoli","given":"Louisa","middleInitial":"A.","affiliations":[{"id":87851,"text":"Center for Conservation and Research of Endangered Wildlife","active":true,"usgs":false}],"preferred":false,"id":959201,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Curry, Erin","contributorId":369809,"corporation":false,"usgs":false,"family":"Curry","given":"Erin","affiliations":[{"id":87851,"text":"Center for Conservation and Research of Endangered Wildlife","active":true,"usgs":false}],"preferred":false,"id":959202,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70269513,"text":"70269513 - 2025 - Avian navigation: Comparing the olfactory navigational “map” and the infrasound direction-finding hypotheses to aeronautics","interactions":[],"lastModifiedDate":"2025-11-20T16:42:10.638075","indexId":"70269513","displayToPublicDate":"2025-06-27T07:45:44","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2225,"text":"Journal of Comparative Physiology A","active":true,"publicationSubtype":{"id":10}},"title":"Avian navigation: Comparing the olfactory navigational “map” and the infrasound direction-finding hypotheses to aeronautics","docAbstract":"Animal navigation has long been a fascinating but bewildering subject. Humans and animals might well share similar navigational strategies because they developed within the same physical environments. A “map-and-compass” model has been proposed to explain the two-step avian navigational process, but the “map” step has remained elusive. Although scalar values from bicoordinate geomagnetic or atmospheric olfactory gradients have been considered foundational to the avian map, neither has proved convincing engendering decades of controversy. The olfactory map, and an alternative infrasound direction-finding (IDF) hypothesis, are discussed in this review. The olfactory map hypothesis currently requires extensive stable gradients of trace-odor ratios, but such gradients are highly unlikely within a turbulent and rapidly mixed lower atmosphere. The IDF hypothesis, on the other hand, postulates a two-step navigational model analogous to the maritime and aeronautical radio direction-finding technique. This review was also written to encourage further investigation, and direct testing, of the acoustic navigational process. The IDF hypothesis, at present, appears the better explanation of observed avian navigational behavior and accuracy within the atmosphere’s physical environment.","language":"English","publisher":"Springer Nature","doi":"10.1007/s00359-025-01748-3","usgsCitation":"Hagstrum, J.T., 2025, Avian navigation: Comparing the olfactory navigational “map” and the infrasound direction-finding hypotheses to aeronautics: Journal of Comparative Physiology A, v. 211, p. 603-616, https://doi.org/10.1007/s00359-025-01748-3.","productDescription":"14 p.","startPage":"603","endPage":"616","ipdsId":"IP-176023","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":492832,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"211","noUsgsAuthors":false,"publicationDate":"2025-06-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Hagstrum, Jonathan T. 0000-0002-0689-280X jhag@usgs.gov","orcid":"https://orcid.org/0000-0002-0689-280X","contributorId":3474,"corporation":false,"usgs":true,"family":"Hagstrum","given":"Jonathan","email":"jhag@usgs.gov","middleInitial":"T.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":943926,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70271375,"text":"70271375 - 2025 - Onset and evolution of summit lava fountaining during the Mauna Loa 2022 eruption","interactions":[],"lastModifiedDate":"2025-09-10T14:52:26.296146","indexId":"70271375","displayToPublicDate":"2025-06-27T07:45:25","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":"Onset and evolution of summit lava fountaining during the Mauna Loa 2022 eruption","docAbstract":"The start of the Mauna Loa 2022 eruption in the Mokuʻāweoweo summit caldera was entirely captured through webcam videos. We analyzed footage from the ~ 7-h summit episode, processing > 87,000 frames using a newly automated method to measure fountain heights, fissure lengths, and inflight ejecta volumes. The summit episode comprised four phases. In Phase 1 (~ 1 h), a ~ 1 km long fissure propagated from southwest to northeast, with steady fountain heights reaching 125 m. In Phase 2 (~ 50 min), two further fissure segments extended the total length to ~ 2.4 km, with fountains focused into point sources reaching up to 70 m. In Phase 3 (~ 70 min), the eruption was steady with no major changes in eruptive behavior. In Phase 4 (~ 4 h), fountains became unsteady and weak (< 30 m). Fissure growth rates varied from ~ 20 to -9 m/min, and bulk magma flux peaked at 2.7 × 104 m3/s. An inverse relationship between maximum fountain heights and fissure lengths suggests that total magma flux was nearly constant until Phase 4. We propose an interconnected feeding system for the summit episode with a preferential pathway for gas-rich magma in the southwest portion of the caldera. The sustained nature of the episode was likely driven by the fast rise of melt coupled with small bubbles, with trains of decoupled larger bubbles producing pulsations. Webcam videography was an effective tool to quantify early-stage eruption parameters and could be further explored for rapid response and fine-tuning of hazard mitigation strategies on erupting basaltic volcanoes.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s00445-025-01850-z","usgsCitation":"Pasqualon, N.G., Houghton, B.F., Patrick, M.R., Llewellin, E.W., and Tisdale, C.M., 2025, Onset and evolution of summit lava fountaining during the Mauna Loa 2022 eruption: Bulletin of Volcanology, v. 87, 58, 17 p., https://doi.org/10.1007/s00445-025-01850-z.","productDescription":"58, 17 p.","ipdsId":"IP-175520","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":495278,"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 -156.02478567084205,\n 20.32017453313877\n ],\n [\n -156.0823626952265,\n 19.722565628311997\n ],\n [\n -156.01845656540482,\n 19.172467415538705\n ],\n [\n -155.8853727071243,\n 19.014916638266172\n ],\n [\n -155.67928378223007,\n 18.868287419874775\n ],\n [\n -154.76902476310184,\n 19.405671946951102\n ],\n [\n -155.07379675427597,\n 20.114573804066268\n ],\n [\n -156.02478567084205,\n 20.32017453313877\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"87","noUsgsAuthors":false,"publicationDate":"2025-06-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Pasqualon, Natalia G.","contributorId":361168,"corporation":false,"usgs":false,"family":"Pasqualon","given":"Natalia","middleInitial":"G.","affiliations":[{"id":47560,"text":"University of Hawaii Manoa","active":true,"usgs":false}],"preferred":false,"id":948313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Houghton, Bruce F. 0000-0002-7532-9770","orcid":"https://orcid.org/0000-0002-7532-9770","contributorId":140077,"corporation":false,"usgs":false,"family":"Houghton","given":"Bruce","email":"","middleInitial":"F.","affiliations":[{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false},{"id":13351,"text":"University of Hawaii Cooperative Studies Unit","active":true,"usgs":false}],"preferred":false,"id":948314,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patrick, Matthew R. 0000-0002-8042-6639 mpatrick@usgs.gov","orcid":"https://orcid.org/0000-0002-8042-6639","contributorId":2070,"corporation":false,"usgs":true,"family":"Patrick","given":"Matthew","email":"mpatrick@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":948315,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Llewellin, Edward W.","contributorId":353668,"corporation":false,"usgs":false,"family":"Llewellin","given":"Edward","middleInitial":"W.","affiliations":[{"id":25252,"text":"Durham University","active":true,"usgs":false}],"preferred":false,"id":948316,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tisdale, Caroline M.","contributorId":247598,"corporation":false,"usgs":false,"family":"Tisdale","given":"Caroline","middleInitial":"M.","affiliations":[{"id":39036,"text":"University of Hawaii at Manoa","active":true,"usgs":false}],"preferred":false,"id":948317,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70268445,"text":"sir20245134 - 2025 - Assessment and validation of depressions in digital elevation models from multiple elevation data sources and delineation of depressions, sinking streams, and their watersheds in Tennessee and parts of Kentucky, Virginia, North Carolina, Georgia, Alabama, and Mississippi","interactions":[],"lastModifiedDate":"2025-08-14T19:40:56.797048","indexId":"sir20245134","displayToPublicDate":"2025-06-26T13:45:32","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5134","displayTitle":"Assessment and Validation of Depressions in Digital Elevation Models From Multiple Elevation Data Sources and Delineation of Depressions, Sinking Streams, and Their Watersheds in Tennessee and Parts of Kentucky, Virginia, North Carolina, Georgia, Alabama, and Mississippi","title":"Assessment and validation of depressions in digital elevation models from multiple elevation data sources and delineation of depressions, sinking streams, and their watersheds in Tennessee and parts of Kentucky, Virginia, North Carolina, Georgia, Alabama, and Mississippi","docAbstract":"Closed depressions and sinking streams in karst landscapes pose difficulties for water-resources management, in the construction of roads and other public works, and in hydrologic and hydrogeomorphic analyses. Digital elevation models (DEMs) can be used to identify the location and determine the size and shape of closed depressions, but separating artificial depressions due to error from real depressions in DEMs can be difficult. Artificial depressions in the DEMs can result from errors that were inherited from limitations in the source data, the interpolation of the elevation data into a grid of values, or horizontal and vertical accuracy of the elevation data. Because the source dataset used to derive DEMs is only a model of the true landscape, field verification is necessary to separate artificial depressions from real ones in DEMs. DEM analysis alone can only be used to determine whether a depression is likely or unlikely to exist in the landscape.
The U.S. Geological Survey has applied methods to delineate depressions, sinking streams, and their watersheds by using DEMs derived from two sources of elevation data within karst areas of Tennessee and parts of surrounding States. Preliminary depressions, which include all depressions before separating the likely depressions from the unlikely depressions, were delineated from the DEMs with 30- by 30-foot cells derived from each elevation data source. The characteristics of these preliminary depressions were compared to occurrence probabilities for depressions derived from numerical error propagation tests in 10 test areas across the study area and to topographic-contour source data within a 17,739-square-mile test area in middle Tennessee and northern Alabama. The comparison was conducted to determine depression characteristics that, when combined with depression-proximity filters, could be used to separate unlikely from likely depressions. Preliminary depressions were examined in the field at 91 sites in Tennessee, and field observations were compared to digital determinations of unlikely and likely depressions.
The density and size of depressions derived from each elevation dataset were compared within eight karst regions in the study area. Depressions and their watersheds were compiled from each elevation dataset. Sinking streams derived from the National Hydrography Dataset and their watersheds also were compiled for the study area.
Director, Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
640 Grassmere Park, Suite 100
Nashville, TN 37211
Contact Us- USGS Publications Warehouse
","tableOfContents":"The National Fish Habitat Partnership (NFHP) is a science based, non-regulatory, partnership-driven effort to conserve fish habitat across the USA. The NFHP was developed in the early to mid-2000s in response to the noted declines to fish populations and their associated habitats across the USA with the effort led by the Association of Fish and Wildlife Agencies and supported by a wide range of federal and state fisheries agencies along with conservation organizations. Since 2006, 20 Fish Habitat Partnerships have been organized around specific habitats, fish species, or geographic areas. These partnerships have implemented 1,613 projects resulting in 9,720 habitat enhancements or parcels of habitat protected, including 7,962 riverine or coastline miles and 98,255 acres of marine, lake, impoundment, and reservoir fish habitat along with 1,499 science and data products using US$60,613,842 of direct NFHP investment matched or leveraged by $332,841,072. The NFHP was codified by the U.S. Congress in 2020 and reauthorized in 2024, building on the strong initial foundation and ensuring success into the future. Follow-up publications to this overview paper are planned by each Fish Habitat Partnership to fully describe the depth and breadth of this key U.S. habitat program.
","language":"English","publisher":"Oxford University Press","doi":"10.1093/fshmag/vuaf053","usgsCitation":"Whelan, G., McOwen, A., and Wieferich, D.J., 2025, The National Fish Habitat Partnership – A unique path to conserving fish habitat: Fisheries, v. 50, no. 11, p. 512-520, https://doi.org/10.1093/fshmag/vuaf053.","productDescription":"9 p.","startPage":"512","endPage":"520","ipdsId":"IP-175799","costCenters":[{"id":38128,"text":"Science Analytics and Synthesis","active":true,"usgs":true}],"links":[{"id":497681,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"11","noUsgsAuthors":false,"publicationDate":"2025-06-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Whelan, Gary","contributorId":146115,"corporation":false,"usgs":false,"family":"Whelan","given":"Gary","email":"","affiliations":[{"id":16584,"text":"Fisheries Division, Michigan Department of Natural Resources, P.O. Box 30446, Lansing, MI 48909","active":true,"usgs":false}],"preferred":false,"id":952594,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McOwen, Alexandra","contributorId":364367,"corporation":false,"usgs":false,"family":"McOwen","given":"Alexandra","affiliations":[{"id":38436,"text":"National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":952595,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wieferich, Daniel J. 0000-0003-1554-7992 dwieferich@usgs.gov","orcid":"https://orcid.org/0000-0003-1554-7992","contributorId":176205,"corporation":false,"usgs":true,"family":"Wieferich","given":"Daniel","email":"dwieferich@usgs.gov","middleInitial":"J.","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true},{"id":5069,"text":"Office of the AD Core Science Systems","active":true,"usgs":true}],"preferred":true,"id":952596,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70268817,"text":"70268817 - 2025 - In situ, modeled, and earth observation monitoring of surface water availability in West African rangelands","interactions":[],"lastModifiedDate":"2025-07-08T15:28:17.235284","indexId":"70268817","displayToPublicDate":"2025-06-26T10:21:12","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7170,"text":"Frontiers in Water","active":true,"publicationSubtype":{"id":10}},"title":"In situ, modeled, and earth observation monitoring of surface water availability in West African rangelands","docAbstract":"Introduction: Rangeland ponds are vital to the livelihoods of pastoral and agropastoral communities in Africa, providing an important source of water for livestock. However, sparse instrumentation across much of Africa makes it extremely challenging to monitor surface water availability in these areas. Model estimates of surface water, for example, as used by the Famine Early Warning Systems Network (FEWS NET) Water Point Viewer, are one of the few operational tools available to monitor surface water stress across pastoral areas of the Sahel and East Africa.
Methods: Water availability data from these models are difficult to validate. New methods using satellite data to classify surface water provide an opportunity to assess the performance of these tools. This study compares water availability estimates derived from Landsat and Sentinel 1 satellite imagery to in situ observations and model simulations of water availability in 22 ephemeral ponds located in the Ferlo region of Senegal.
Results and discussion: The Active-Passive Water Classification (APWC) algorithm detected surface water at each location. Over 2022 and 2023, water was detected in pond locations annually at a frequency of 68.2% for all ponds and at a frequency of 43.8% for ponds with a surface area <10,000 square meters (m2). The APWC results outperform global and continental surface water datasets in the Ferlo region. Seasonal water availability was captured in 12 ponds over the 2022 and 2023 seasons. The 12 locations can function as sentinel ponds to monitor local water availability. Study results demonstrate the viability of satellite methods to assess water availability in the region, as well as the challenges to using satellite-based methods to estimate water availability in small ponds.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/frwa.2025.1320010","usgsCitation":"Slinski, K., Senay, G.B., Adoum, A., Shukla, S., McNally, A., Rowland, J., Fillol, E., Yatheendradas, S., Funk, C., Hoell, A., and Jasinski, M., 2025, In situ, modeled, and earth observation monitoring of surface water availability in West African rangelands: Frontiers in Water, v. 7, 1320010, 17 p., https://doi.org/10.3389/frwa.2025.1320010.","productDescription":"1320010, 17 p.","ipdsId":"IP-162900","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":492054,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/frwa.2025.1320010","text":"Publisher Index Page"},{"id":491802,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Senegal","otherGeospatial":"Ferlo Region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -16.125,\n 16.5\n ],\n [\n -16.125,\n 14.6667\n ],\n [\n -14,\n 14.6667\n ],\n [\n -14,\n 16.5\n ],\n [\n -16.125,\n 16.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"7","noUsgsAuthors":false,"publicationDate":"2025-06-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Slinski, Kimberly","contributorId":337030,"corporation":false,"usgs":false,"family":"Slinski","given":"Kimberly","email":"","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":942089,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":3114,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":942090,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adoum, Alkhalil","contributorId":357639,"corporation":false,"usgs":false,"family":"Adoum","given":"Alkhalil","affiliations":[{"id":85483,"text":"University of California, Climate Hazards Center, Santa Barbara, CA, USA","active":true,"usgs":false}],"preferred":false,"id":942091,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shukla, Shraddhanand","contributorId":224784,"corporation":false,"usgs":false,"family":"Shukla","given":"Shraddhanand","affiliations":[{"id":13549,"text":"UC Santa Barbara Climate Hazards Group","active":true,"usgs":false}],"preferred":false,"id":942092,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McNally, Amy","contributorId":331306,"corporation":false,"usgs":false,"family":"McNally","given":"Amy","affiliations":[{"id":79185,"text":"NASA Goddard Space Flight Center/SAIC","active":true,"usgs":false}],"preferred":false,"id":942093,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rowland, James 0000-0003-4837-3511 rowland@usgs.gov","orcid":"https://orcid.org/0000-0003-4837-3511","contributorId":145846,"corporation":false,"usgs":true,"family":"Rowland","given":"James","email":"rowland@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":942094,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fillol, Erwan","contributorId":357640,"corporation":false,"usgs":false,"family":"Fillol","given":"Erwan","affiliations":[{"id":85484,"text":"Action Contre la Faim, Regional Office for West & Central Africa, Dakar, Senegal","active":true,"usgs":false}],"preferred":false,"id":942095,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Yatheendradas, Soni","contributorId":217737,"corporation":false,"usgs":false,"family":"Yatheendradas","given":"Soni","email":"","affiliations":[{"id":39690,"text":"University of Maryland; NASA GSFC","active":true,"usgs":false}],"preferred":false,"id":942096,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Funk, Chris","contributorId":302160,"corporation":false,"usgs":false,"family":"Funk","given":"Chris","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":942097,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hoell, Andrew","contributorId":331301,"corporation":false,"usgs":false,"family":"Hoell","given":"Andrew","affiliations":[{"id":79182,"text":"NOAA ESRL","active":true,"usgs":false}],"preferred":false,"id":942098,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Jasinski, Michael","contributorId":357641,"corporation":false,"usgs":false,"family":"Jasinski","given":"Michael","affiliations":[{"id":85485,"text":"NASA, Goddard Space Flight Center Department, Greenbelt, MD, USA","active":true,"usgs":false}],"preferred":false,"id":942099,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70271464,"text":"70271464 - 2025 - Photodegradation of lignocellulose in plant litter – Reinterpreting data from Méndez et al. (2022)","interactions":[],"lastModifiedDate":"2025-09-16T14:59:16.597727","indexId":"70271464","displayToPublicDate":"2025-06-26T09:56:19","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2863,"text":"New Phytologist","active":true,"publicationSubtype":{"id":10}},"title":"Photodegradation of lignocellulose in plant litter – Reinterpreting data from Méndez et al. (2022)","docAbstract":"No abstract available.
","language":"English","publisher":"New Phytologist Foundation","doi":"10.1111/nph.70320","usgsCitation":"Moorhead, D.L., Todd-Brown, K.E., Besser, A.C., Bloom, D.E., Bonner, A., Cueva, A., Ingalls, T.C., Li, J., Reed, S.C., Torres, I., and Throop, H.L., 2025, Photodegradation of lignocellulose in plant litter – Reinterpreting data from Méndez et al. (2022): New Phytologist, v. 247, no. 5, p. 1977-1980, https://doi.org/10.1111/nph.70320.","productDescription":"4 p.","startPage":"1977","endPage":"1980","ipdsId":"IP-173956","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":495736,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/nph.70320","text":"Publisher Index Page"},{"id":495599,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"247","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-06-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Moorhead, Daryl L. 0000-0002-3460-5302","orcid":"https://orcid.org/0000-0002-3460-5302","contributorId":361458,"corporation":false,"usgs":false,"family":"Moorhead","given":"Daryl","middleInitial":"L.","affiliations":[{"id":86285,"text":"Department of Environmental Sciences, University of Toledo, Toledo, OH 4360","active":true,"usgs":false}],"preferred":false,"id":948846,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Todd-Brown, Katherine E.O. 0000-0002-3109-8130","orcid":"https://orcid.org/0000-0002-3109-8130","contributorId":361459,"corporation":false,"usgs":false,"family":"Todd-Brown","given":"Katherine","middleInitial":"E.O.","affiliations":[{"id":86286,"text":"Department of Environmental Engineering Sciences, University of Florida, Gainesville, FL 32611","active":true,"usgs":false}],"preferred":false,"id":948847,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Besser, Alexi C. 0000-0003-3384-6793","orcid":"https://orcid.org/0000-0003-3384-6793","contributorId":361460,"corporation":false,"usgs":false,"family":"Besser","given":"Alexi","middleInitial":"C.","affiliations":[{"id":34032,"text":"School of Earth and Space Exploration, Arizona State University, Tempe, AZ 85287","active":true,"usgs":false}],"preferred":false,"id":948848,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bloom, Dellena Evelyn 0000-0002-0598-1747","orcid":"https://orcid.org/0000-0002-0598-1747","contributorId":361461,"corporation":false,"usgs":false,"family":"Bloom","given":"Dellena","middleInitial":"Evelyn","affiliations":[{"id":86286,"text":"Department of Environmental Engineering Sciences, University of Florida, Gainesville, FL 32611","active":true,"usgs":false}],"preferred":false,"id":948849,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bonner, Ashley 0000-0001-7882-6353","orcid":"https://orcid.org/0000-0001-7882-6353","contributorId":361462,"corporation":false,"usgs":false,"family":"Bonner","given":"Ashley","affiliations":[{"id":86286,"text":"Department of Environmental Engineering Sciences, University of Florida, Gainesville, FL 32611","active":true,"usgs":false}],"preferred":false,"id":948850,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cueva, Alejandro","contributorId":355127,"corporation":false,"usgs":false,"family":"Cueva","given":"Alejandro","affiliations":[{"id":84714,"text":"El Colegio de la Frontera Sur, Departemento de Ecosistema Ecologico, San Cristobal, Mexico","active":true,"usgs":false}],"preferred":false,"id":948851,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ingalls, Thomas C. 0000-0002-3170-6749","orcid":"https://orcid.org/0000-0002-3170-6749","contributorId":361463,"corporation":false,"usgs":false,"family":"Ingalls","given":"Thomas","middleInitial":"C.","affiliations":[{"id":34032,"text":"School of Earth and Space Exploration, Arizona State University, Tempe, AZ 85287","active":true,"usgs":false}],"preferred":false,"id":948852,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Li, Jiwei","contributorId":355122,"corporation":false,"usgs":false,"family":"Li","given":"Jiwei","affiliations":[{"id":84709,"text":"Arizona State University, Earth and Space Sciences, Tempe, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":948853,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Reed, Sasha C. 0000-0002-8597-8619 screed@usgs.gov","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":217604,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha","email":"screed@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":948854,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Torres, Isabel","contributorId":361464,"corporation":false,"usgs":false,"family":"Torres","given":"Isabel","affiliations":[{"id":86289,"text":"School of Life Sciences, Arizona State University, Tempe, AZ 85287","active":true,"usgs":false}],"preferred":false,"id":948855,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Throop, Heather L. 0000-0002-7963-4342","orcid":"https://orcid.org/0000-0002-7963-4342","contributorId":139051,"corporation":false,"usgs":false,"family":"Throop","given":"Heather","email":"","middleInitial":"L.","affiliations":[{"id":12633,"text":"Biology Department, New Mexico State University, Las Cruces, NM","active":true,"usgs":false}],"preferred":false,"id":948856,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70270650,"text":"70270650 - 2025 - Hybridization and asymmetrical introgression between the vulnerable Gray‐Headed Chickadee and a more abundant congener, the Boreal Chickadee: Implications for conservation","interactions":[],"lastModifiedDate":"2025-08-22T17:01:30.875265","indexId":"70270650","displayToPublicDate":"2025-06-26T09:54:49","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Hybridization and asymmetrical introgression between the vulnerable Gray‐Headed Chickadee and a more abundant congener, the Boreal Chickadee: Implications for conservation","docAbstract":"Hybridization is a common process among bird species that can precipitate a mix of positive or negative species outcomes. Particularly for rare populations, detrimental effects of hybridization on demographic growth rates and genetic integrity are of serious concern. In Alaska and a small region of northwestern Canada, the endemic subspecies of Gray-headed Chickadee (Poecile cinctus lathami) has declined in recent decades from being locally common to being extremely rare. The more widespread Boreal Chickadee (P. hudsonicus) has become increasingly abundant in areas of sympatry. These changes in abundance may have led to hybridization between Gray-headed Chickadees and Boreal Chickadees. We used a series of analyses to test for signatures of introgression at mitochondrial DNA and nuclear DNA using historical museum samples of both species collected between 1875 and 1979 as well as contemporary Boreal Chickadee samples. In addition, we modeled Gray-headed Chickadee and Boreal Chickadee demographic histories to better understand patterns of effective population size changes and gene flow over time. Introgression of Gray-headed Chickadee nuclear DNA was detected in contemporary and historical Boreal Chickadee populations, and two first-generation hybrid backcrosses were observed in the historical Boreal Chickadee samples. Lack of mitochondrial DNA introgression or backcrossing into the Gray-headed Chickadee historical samples may be an artifact of mate scarcity during the period before local abundances of Boreal Chickadee exceeded Gray-headed Chickadees. Demographic modeling with nuclear loci estimated a low level of symmetric gene flow between Gray-headed Chickadees and Boreal Chickadees since the time of divergence. Our study suggests that hybridization may be linked to Gray-headed Chickadee declines and represents a case study of how museum collections can be used to infer introgression in a population too scarce to directly investigate.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.71673","usgsCitation":"Armstrong, M., Wilson, R.E., Johnson, J.A., Booms, T.L., Gesmundo, C., Pohlen, Z.M., Leonard, P., and Sonsthagen, S.A., 2025, Hybridization and asymmetrical introgression between the vulnerable Gray‐Headed Chickadee and a more abundant congener, the Boreal Chickadee: Implications for conservation: Ecology and Evolution, v. 15, no. 7, e71673, 24 p., https://doi.org/10.1002/ece3.71673.","productDescription":"e71673, 24 p.","ipdsId":"IP-174990","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":495049,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.71673","text":"Publisher Index Page"},{"id":494968,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14VRAFK","text":"USGS data release","linkHelpText":"Genomic Data from Gray-headed Chickadee and Boreal Chickadee"},{"id":494539,"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 -172.1919174337219,\n 61.16412670906658\n ],\n [\n -129.51473236723288,\n 48.06724009877192\n ],\n [\n -93.17753488654388,\n 46.064196955208274\n ],\n [\n -63.72506402216072,\n 40.66890918223237\n ],\n [\n -53.91974877832055,\n 47.12392212876617\n ],\n [\n -71.4552518971592,\n 54.21262122953985\n ],\n [\n -117.82748729757712,\n 64.7593894735477\n ],\n [\n -144.17212698454327,\n 70.88681790730743\n ],\n [\n -172.1919174337219,\n 61.16412670906658\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"7","noUsgsAuthors":false,"publicationDate":"2025-06-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Armstrong, Matthew 0009-0004-6875-4631","orcid":"https://orcid.org/0009-0004-6875-4631","contributorId":355185,"corporation":false,"usgs":false,"family":"Armstrong","given":"Matthew","affiliations":[{"id":16587,"text":"University of Nebraska Lincoln","active":true,"usgs":false}],"preferred":false,"id":946763,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Robert E. 0000-0003-1800-0183","orcid":"https://orcid.org/0000-0003-1800-0183","contributorId":360072,"corporation":false,"usgs":false,"family":"Wilson","given":"Robert","middleInitial":"E.","affiliations":[{"id":16587,"text":"University of Nebraska Lincoln","active":true,"usgs":false}],"preferred":false,"id":946764,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, James A.","contributorId":360074,"corporation":false,"usgs":false,"family":"Johnson","given":"James","middleInitial":"A.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":946765,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Booms, Travis L.","contributorId":199285,"corporation":false,"usgs":false,"family":"Booms","given":"Travis","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":946766,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gesmundo, Callie","contributorId":127437,"corporation":false,"usgs":false,"family":"Gesmundo","given":"Callie","email":"","affiliations":[],"preferred":false,"id":946767,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pohlen, Zachary M.","contributorId":344057,"corporation":false,"usgs":false,"family":"Pohlen","given":"Zachary","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":946768,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Leonard, Paul 0000-0001-8032-7449","orcid":"https://orcid.org/0000-0001-8032-7449","contributorId":355186,"corporation":false,"usgs":false,"family":"Leonard","given":"Paul","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":946769,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":353767,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":946770,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70268443,"text":"sir20255037 - 2025 - Using public participatory geographic information systems (PPGIS) to explore uses and values for Mojave Trails National Monument, California","interactions":[],"lastModifiedDate":"2025-06-26T17:02:22.739283","indexId":"sir20255037","displayToPublicDate":"2025-06-26T09:50:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5037","displayTitle":"Using Public Participatory Geographic Information Systems (PPGIS) to Explore Uses and Values for Mojave Trails National Monument, California","title":"Using public participatory geographic information systems (PPGIS) to explore uses and values for Mojave Trails National Monument, California","docAbstract":"Many people ascribe a variety of values to public lands and waters, but some values are more difficult to assess and quantify than others. Public participatory geographic information systems (PPGIS) are tools that have been used to help quantify and map the public’s diverse values for a landscape. This work describes the first known Office of Management and Budget–approved use of PPGIS by a Department of the Interior bureau. The U.S. Geological Survey developed an internet-based application to aid in gathering PPGIS data, called Values Mapping for Planning in Regional Ecosystems (VaMPIRE). Further, this work describes the first pilot of the VaMPIRE application in coordination with the Bureau of Land Management to collect spatial data and other survey data regarding the public’s uses of and values for locations within Mojave Trails National Monument. We emailed the link to the VaMPIRE application to an interested party email list in 2024 with 207 valid emails and received 74 responses; we also received 47 responses from members of an off-roading social media group. Of the list of 16 value options, recreation was the most popular value for the monument, followed by wilderness and inspirational. Over 1,000 points were placed throughout the monument, indicating locations people use or value, with the locations spread throughout the entire monument. Additionally, most survey respondents stated their ability to receive benefits in locations they mapped would not change in response to a hypothetical scenario related to recreational facility development. This report describes exploratory results from the first use of the VaMPIRE tool in Mojave Trails National Monument and includes reflections on how the process went and considerations for future use of VaMPIRE.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20255037","collaboration":"Prepared in cooperation with the Bureau of Land Management","programNote":"Land Management Research Program","usgsCitation":"Wilkins, E.J., Lindley, S.M., Rogers, K., Schuster, R., Hannon, M.T., Rowland, P.T., and Runnels, M.J., 2025, Using public participatory geographic information systems (PPGIS) to explore uses and values for Mojave Trails National Monument, California: U.S. Geological Survey Scientific Investigations Report 2025–5037, 27 p., https://doi.org/10.3133/sir20255037.","productDescription":"Report: vi, 27 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-168071","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":491391,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5037/sir20255037.xml"},{"id":491390,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5037/images"},{"id":491394,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255037/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5037"},{"id":491306,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1423FLS","text":"USGS data release","linkHelpText":"Values Mapping for Planning in Regional Ecosystems: Mojave Trails National Monument, California, 2024"},{"id":491303,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5037/coverthb.jpg"},{"id":491304,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5037/sir20255037.pdf","text":"Report","size":"5.09 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5037"}],"country":"United States","state":"California","otherGeospatial":"Mojave Trails National Monument","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -114.37203217608662,\n 35.235920982774275\n ],\n [\n -116.63385757611397,\n 35.235920982774275\n ],\n [\n -116.63385757611397,\n 34.05652997012804\n ],\n [\n -114.37203217608662,\n 34.05652997012804\n ],\n [\n -114.37203217608662,\n 35.235920982774275\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Fort Collins Science Center
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Winter waves in the polar jet stream are associated with extreme cold outbreaks and can modulate longer-term winter temperature trends in the mid-latitudes. Recent research has highlighted a positive trend in jet stream waviness from 1990 to 2010, with a hypothesized connection to Arctic amplification of anthropogenic warming. However, an increase in jet stream waviness has also been hypothesized to contribute to the winter “warming hole” (WH) in eastern North America, a cooling phenomenon from 1958–1988, beginning several decades prior to the recent waviness trend. These potentially conflicting hypotheses highlight the uncertainty of long-term jet stream waviness variability prior to the satellite era (1979–present). Here we develop a new record of wintertime jet stream waviness spanning 1901–2023 based on self-organizing maps and nine different temperature and reanalysis data sets with the dual purpose of (a) understanding the historical variability of polar jet stream waviness in the eastern United States, and (b) quantifying the impact of jet stream waviness on WH-era surface temperatures. Our analysis reveals elevated jet stream waviness in the 1960s–1980s that surpassed modern waviness levels, and we find that jet stream waviness contributed to two-thirds of winter WH cooling beginning in 1958. These results are consistent with a strong connection between temperature trends in the eastern U.S. and jet stream troughing but indicate that additional mechanisms also contributed to the WH. Our analysis further highlights that recent increases in jet stream waviness are well within the range of early to mid-20th century variability, prior to the emergence of Arctic amplification.
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earthquake detection and visualization","docAbstract":"Detecting and cataloging seismic events are among the most fundamental tasks in seismology. Many standardized tools for these tasks exist, including the open‐source package repeating earthquake detector in Python (REDPy). REDPy generates an organized catalog of seismic events from continuous waveform data, in which events are automatically separated into groups (“families”) by their waveform similarity through cross‐correlation. REDPy also automatically generates various outputs that allow a user to visualize important trends in the catalog, which may be used in real time or in retrospective analyses to allow rapid identification of interesting features. The code was designed for near‐real‐time volcano monitoring but is applicable across a broad range of use cases in seismology and seismoacoustics. In this article, the utility and performance of REDPy are demonstrated on two highly seismogenic volcanic eruption sequences: the onset of the dome‐building eruption of Mount St. Helens, Washington, from 2004 to 2005, and the entirety of the summit caldera collapse sequence of Kīlauea, Hawai‘i, in 2018. This article is meant to be a companion to the documentation of the code; in addition to detailing the basic required inputs, script functionality, and resulting outputs, the reasonings behind several important design decisions are also discussed.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220240373","usgsCitation":"Hotovec-Ellis, A.J., 2025, REDPy: A Python tool for automated repeating earthquake detection and visualization: Seismological Research Letters, v. 96, no. 6, p. 3849-3865, https://doi.org/10.1785/0220240373.","productDescription":"17 p.","startPage":"3849","endPage":"3865","ipdsId":"IP-178723","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":498209,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"96","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Hotovec-Ellis, Alicia J. 0000-0003-1917-0205","orcid":"https://orcid.org/0000-0003-1917-0205","contributorId":211785,"corporation":false,"usgs":true,"family":"Hotovec-Ellis","given":"Alicia","email":"","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":953024,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70268396,"text":"sir20255042 - 2025 - Characterization of the hydrogeologic framework, groundwater-flow system, geochemistry, and aquifer hydraulic properties of the shallow groundwater system in the Wilcox and Lorraine process areas of the Wilcox Oil Company Superfund site near Bristow, Oklahoma, 2022","interactions":[],"lastModifiedDate":"2026-01-26T19:22:45.974234","indexId":"sir20255042","displayToPublicDate":"2025-06-26T09:28:11","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5042","displayTitle":"Characterization of the Hydrogeologic Framework, Groundwater-Flow System, Geochemistry, and Aquifer Hydraulic Properties of the Shallow Groundwater System in the Wilcox and Lorraine Process Areas of the Wilcox Oil Company Superfund Site Near Bristow, Oklahoma, 2022","title":"Characterization of the hydrogeologic framework, groundwater-flow system, geochemistry, and aquifer hydraulic properties of the shallow groundwater system in the Wilcox and Lorraine process areas of the Wilcox Oil Company Superfund site near Bristow, Oklahoma, 2022","docAbstract":"The Wilcox Oil Company Superfund site (hereinafter referred to as “the site”) was formerly an oil refinery northeast of Bristow in Creek County, Oklahoma. Historical refinery operations contaminated the soil, surface water, streambed sediments, alluvium, and groundwater with refined and stored products at the site. The Wilcox and Lorraine process areas are where the highest concentrations of volatile organic compounds, semivolatile organic compounds, polycyclic aromatic hydrocarbons, and trace elements (including metals) (collectively hereinafter referred to as “contaminants”) were measured in a local shallow perched groundwater system within the alluvium (hereinafter referred to as the “alluvial aquifer”) at the site during previous site assessments. In order to understand the potential migration of contaminants through the soil and groundwater in these areas, the U.S. Geological Survey, in cooperation with the U.S. Environmental Protection Agency, investigated aquifer characteristics of the alluvial aquifer in the Wilcox and Lorraine process areas of the site to (1) document hydraulic conductivity and other aquifer characteristics of the alluvial aquifer that govern contaminant fate and transport, (2) describe the geospatial extent and concentration of the contaminants in the alluvial aquifer in the Wilcox and Lorraine process areas, and (3) describe the geochemical controls pertaining to oxidation and reduction governing the fate and transport and the degradation potential of contaminants in the groundwater. Various data were compiled and collected to evaluate the aquifer characteristics at the site including the hydrogeologic framework, groundwater-flow system, geochemistry, and hydraulic properties of the aquifer. A total of 20 new (2022) groundwater monitoring wells were installed at the site to collect data used to supplement groundwater-level altitude and groundwater-quality data collected from older, existing groundwater monitoring wells and piezometers. Data compiled and collected for the study were used to evaluate the characteristics of the alluvial aquifer at the site. These aquifer characteristics are defined by the hydrogeologic framework, groundwater-flow system, geochemistry, and hydraulic properties of the aquifer.
Director, Oklahoma-Texas Water Science Center
U.S. Geological Survey
1505 Ferguson Lane
Austin, TX 78754–4501
Contact Us- USGS Publications Warehouse
","tableOfContents":"As the northern high-latitude permafrost zone experiences accelerated warming, permafrost has become vulnerable to widespread thaw. Simultaneously, wildfire activity across northern boreal forest and Arctic/subarctic tundra regions impacts permafrost stability through the combustion of insulating organic matter, vegetation, and post-fire changes in albedo. Efforts to synthesis the impacts of wildfire on permafrost are limited and are typically reliant on antecedent pre-fire conditions. To address this, we created the FireALT dataset by soliciting data contributions that included thaw depth measurements, site conditions, and fire event details with paired measurements at environmentally comparable burned and unburned sites. The solicitation resulted in 52 466 thaw depth measurements from 18 contributors across North America and Russia. Because thaw depths were taken at various times throughout the thawing season, we also estimated end-of-season active layer thickness (ALT) for each measurement using a modified version of the Stefan equation. Here, we describe our methods for collecting and quality-checking the data, estimating ALT, the data structure, strengths and limitations, and future research opportunities. The final dataset includes 48 669 ALT estimates with 32 attributes across 9446 plots and 157 burned–unburned pairs spanning Canada, Russia, and the United States. The data span fire events from 1900 to 2022 with measurements collected from 2001 to 2023. The time since fire ranges from 0 to 114 years. The FireALT dataset addresses a key challenge: the ability to assess impacts of wildfire on ALT when measurements are taken at various times throughout the thaw season depending on the time of field campaigns (typically June through August) by estimating ALT at the end-of-season maximum. This dataset can be used to address understudied research areas, particularly algorithm development, calibration, and validation for evolving process-based models as well as extrapolating across space and time, which could elucidate permafrost–wildfire interactions under accelerated warming across the high-northern-latitude permafrost zone. The FireALT dataset is available through the Arctic Data Center (https://doi.org/10.18739/A2RN3092P, Talucci et al., 2024).
","language":"English","publisher":"Copernicus Publications","doi":"10.5194/essd-17-2887-2025","usgsCitation":"Talucci, A., Loranty, M., Holloway, J., Rogers, B.M., Alexander, H.D., Baillargeon, N., Baltzer, J.L., Berner, L., Breen, A., Brodt, L., Buma, B., Dean, J., Delcourt, C., Diaz, L., Dieleman, C., Douglas, T.A., Frost, G., Gaglioti, B., Hewitt, R.E., Hollingsworth, T., Jorenson, M., Lara, M.J., Loehman, R.A., Mack, M.C., Manies, K.L., Minions, C., Natali, S., O’Donnell, J.A., Olefeldt, D., Paulson, A., Rocha, A., Saperstein, L., Shestakova, T., Sistla, S., Sizov, O., Soromotin, A., Turetksy, M., Veraverbeke, S., and Walvoord, M.A., 2025, Permafrost–wildfire interactions: active layer thickness estimates for paired burned and unburned sites in northern high latitudes: Earth System Science Data, no. 17, p. 2887-2909, https://doi.org/10.5194/essd-17-2887-2025.","productDescription":"23 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geophysical lunar field work enabled by Artemis Base Camp","docAbstract":"We report on six Findings related to the benefit of Artemis Base Camp (ABC) to lunar geoscience (Figure 1). These Findings are on the topics of 1) Repeat field site visits; 2) Geological experiments; 3) Satellite ABC campus(es); 4) Advanced lab equipment; 5) Frequent and resource-intensive EVAs; and 6) Geoscience STEM engagement. Lastly, we consider certain issues and caveats meriting further study in any base camp architecture.","language":"English","publisher":"Lunar Exploration Assessment Group","usgsCitation":"Runyon, K., Buxner, S., Crane, K., Crow, C., Douglass, A., Edgar, L.A., Eppler, D., Hurtado, J., Rubins, K., and Wagner, M., 2025, On the importance of geological and geophysical lunar field work enabled by Artemis Base Camp, 7 p.","productDescription":"7 p.","ipdsId":"IP-168424","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":492369,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://workforce.psi.edu/wp-content/uploads/2025/06/Runyon-LEAG-ABC-White-Paper-2024.08.22.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":491519,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://workforce.psi.edu/","linkFileType":{"id":5,"text":"html"}},{"id":491522,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Artemis Base Camp, Moon","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Runyon, K.","contributorId":357467,"corporation":false,"usgs":false,"family":"Runyon","given":"K.","affiliations":[{"id":13179,"text":"Planetary Science Institute","active":true,"usgs":false}],"preferred":false,"id":941520,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buxner, S.","contributorId":357468,"corporation":false,"usgs":false,"family":"Buxner","given":"S.","affiliations":[{"id":13179,"text":"Planetary Science Institute","active":true,"usgs":false}],"preferred":false,"id":941521,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crane, K.","contributorId":357469,"corporation":false,"usgs":false,"family":"Crane","given":"K.","affiliations":[{"id":13179,"text":"Planetary Science Institute","active":true,"usgs":false}],"preferred":false,"id":941522,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crow, C.","contributorId":357470,"corporation":false,"usgs":false,"family":"Crow","given":"C.","affiliations":[{"id":28140,"text":"UC Boulder","active":true,"usgs":false}],"preferred":false,"id":941523,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Douglass, A.","contributorId":238005,"corporation":false,"usgs":false,"family":"Douglass","given":"A.","email":"","affiliations":[{"id":47678,"text":"Geochemical Testing Laboratory","active":true,"usgs":false}],"preferred":false,"id":941524,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Edgar, Lauren A. 0000-0001-7512-7813 ledgar@usgs.gov","orcid":"https://orcid.org/0000-0001-7512-7813","contributorId":167501,"corporation":false,"usgs":true,"family":"Edgar","given":"Lauren","email":"ledgar@usgs.gov","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":941525,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Eppler, D.","contributorId":357471,"corporation":false,"usgs":false,"family":"Eppler","given":"D.","affiliations":[{"id":85425,"text":"The Aerospace Corporation","active":true,"usgs":false}],"preferred":false,"id":941526,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hurtado, J.M.","contributorId":357472,"corporation":false,"usgs":false,"family":"Hurtado","given":"J.M.","affiliations":[{"id":64863,"text":"University of Texas at El Paso","active":true,"usgs":false}],"preferred":false,"id":941527,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rubins, K.","contributorId":357473,"corporation":false,"usgs":false,"family":"Rubins","given":"K.","affiliations":[{"id":27209,"text":"NASA Johnson Space Center","active":true,"usgs":false}],"preferred":false,"id":941528,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wagner, M.","contributorId":357474,"corporation":false,"usgs":false,"family":"Wagner","given":"M.","affiliations":[{"id":85426,"text":"ARES Learning","active":true,"usgs":false}],"preferred":false,"id":941529,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70268909,"text":"70268909 - 2025 - Staying alive: Post-translocation apparent survival of fishes in headwater springs following drought","interactions":[],"lastModifiedDate":"2025-09-09T14:42:06.990995","indexId":"70268909","displayToPublicDate":"2025-06-26T08:33:05","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Staying alive: Post-translocation apparent survival of fishes in headwater springs following drought","docAbstract":"Increasing fragmentation from constructed barriers, increased water use, and climate change limits the resiliency of stream fish metapopulations by reducing colonization. Management actions such as stocking or translocating fish may help contribute to the resilience of isolated habitats and increase redundancy of populations in intermittent stream networks. Our objective was to determine whether translocating fish into prairie headwater refuges could reestablish or supplement isolated populations.
We examined apparent survival and probability of detection of four native, small-bodied fishes that were translocated in 2022 and 2023 to prairie headwater refuges that were affected by a severe drought and experienced slow recovery of their fish assemblages. All the fish were marked with passive integrated transponder tags, allowing us to use a mark–recapture framework to track the fate of these fish.
Apparent survival was predicted by an interaction between time and translocation site, indicating an important consideration of environmental factors. Approximately one-quarter of the fish remained at site A through the summer of both years, whereas estimates were near zero at site B in both years and mixed across years at site C. The decreases in apparent survival probabilities following flow events suggest that fish may be emigrating during these periods of reconnection. During the lower flow year, more fish remained at the headwater sites and young-of-year fish were captured during long-term sampling, suggesting that the translocated fish reproduced.
The success of translocation projects will depend on a variety of factors, including management goals, habitat, and hydrology, but the initially high survival reported in this study is encouraging. Difficulties with examining the movement of small fish during hydrologic events limited our conclusions about the relative contributions of mortality and emigration to apparent survival estimates. Despite low yearly apparent survival, we found evidence of reproduction from translocated fish, suggesting that the reestablishment of a viable population is possible.
The increasing use of plastic additives, particularly bisphenols (BPs), has raised significant concerns about their potential risks to human health, especially during critical developmental stages. In this study, we developed a novel high-throughput toxicity screening platform using zebrafish (Danio rerio) to identify and prioritize chemicals with cardiotoxic potential, which is based on multidimensional exposure pathways ranging from environmental to human levels. The platform quantitatively assesses heart rate changes based on multilevel exposure pathways (environmental, ecological, and human), effectively prioritizing the most relevant cardiotoxic compounds with potential health risks. Using this platform, we identified bisphenol P (BPP), a widely used substitute for bisphenol A, as a potent cardiotoxic compound. BPP exposure significantly inhibited heart development and function in zebrafish, inducing abnormal heart morphology, reduced heart rate, cardiac output, and hemodynamic disturbances. Additionally, NF-κB signaling pathway analysis, including morpholino knock-down and inhibitor experiments, confirmed that BPP mediates cardiac toxicity by inducing cardiomyocyte apoptosis. Our findings underscore the toxicity that BP substitutes can have, while highlighting the potential of this multidimensional screening platform in evaluating cardiovascular toxicity and guiding future toxicological assessments during critical developmental windows.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.5c00573","usgsCitation":"Wang, J., Magnuson, J.T., Feng, Y., Zhao, W., Gao, C., Zheng, C., and Qiu, W., 2025, High-throughput screening identifies bisphenol P as a potent cardiotoxin, inducing cardiotoxicity through apoptosis and NF-κB Pathway: Environmental Science & Technology, v. 59, no. 29, p. 14870-14880, https://doi.org/10.1021/acs.est.5c00573.","productDescription":"11 p.","startPage":"14870","endPage":"14880","ipdsId":"IP-173827","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":491803,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"59","issue":"29","noUsgsAuthors":false,"publicationDate":"2025-06-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Wang, Jiazhen","contributorId":329836,"corporation":false,"usgs":false,"family":"Wang","given":"Jiazhen","email":"","affiliations":[{"id":78727,"text":"Southern University of Science and Technology","active":true,"usgs":false}],"preferred":false,"id":941885,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magnuson, Jason Tyler 0000-0001-6841-8014","orcid":"https://orcid.org/0000-0001-6841-8014","contributorId":329838,"corporation":false,"usgs":true,"family":"Magnuson","given":"Jason","email":"","middleInitial":"Tyler","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":941886,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Feng, Yanqiu","contributorId":357594,"corporation":false,"usgs":false,"family":"Feng","given":"Yanqiu","affiliations":[{"id":85467,"text":"Eastern Institute of Technology, China","active":true,"usgs":false}],"preferred":false,"id":941887,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhao, Wenjing","contributorId":357595,"corporation":false,"usgs":false,"family":"Zhao","given":"Wenjing","affiliations":[{"id":80251,"text":"Southern University of Science and Technology, China","active":true,"usgs":false}],"preferred":false,"id":941888,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gao, Chuanzi","contributorId":357596,"corporation":false,"usgs":false,"family":"Gao","given":"Chuanzi","affiliations":[{"id":80251,"text":"Southern University of Science and Technology, China","active":true,"usgs":false}],"preferred":false,"id":941889,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zheng, Chunmiao","contributorId":214041,"corporation":false,"usgs":false,"family":"Zheng","given":"Chunmiao","email":"","affiliations":[{"id":16675,"text":"U Alabama","active":true,"usgs":false}],"preferred":false,"id":941890,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Qiu, Wenhui","contributorId":334797,"corporation":false,"usgs":false,"family":"Qiu","given":"Wenhui","email":"","affiliations":[{"id":80251,"text":"Southern University of Science and Technology, China","active":true,"usgs":false}],"preferred":false,"id":941891,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70268477,"text":"70268477 - 2025 - Cascading land surface hazards as a nexus in the Earth system","interactions":[],"lastModifiedDate":"2025-06-27T15:23:23.423631","indexId":"70268477","displayToPublicDate":"2025-06-26T08:14:18","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":"Cascading land surface hazards as a nexus in the Earth system","docAbstract":"Earth’s surface is sculpted by numerous processes that move sediment, ranging from gradual and benign to abrupt and catastrophic. Although infrequent, high-magnitude sediment mobilization events can be hazardous to people and infrastructure, leaving topographic imprints on the landscape and remarkable narratives in the historical record. Hazardous events such as fires, storms, and earthquakes accelerate erosion and sediment transport, increasing landscape sensitivity to subsequent perturbations, thus forming a cascading hazard. Although the redistribution of sediment across Earth’s landscape can result in higher risks to vulnerable populations, cascading processes are commonly unaccounted for in hazard assessments. Cascading hazards can occur almost immediately after triggering events, such as coseismic landslides, or over months, years, or even decades after an initial perturbation, such as debris flows after wildfires or flooding in channels alluviated by volcanic debris. Sediment cascades span Earth’s surface, from mountaintops to river valleys, where erosion, deposition, and aggradation can lead to a myriad of hazardous processes, including decreased river conveyance capacity, which increases the likelihood of downstream flooding. An improved understanding of the magnitude, frequency, and persistence of cascading hazards is critical given the rapid changes in the frequency and severity of storms, fires, sea-level change, and cryospheric melting, as well as the expansion of high-population-density urban footprints in regions susceptible to solid Earth hazards. Understanding the full consequences and underlying physics of Earth’s cascading land surface hazards can help minimize future human and economic losses.","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/science.adp9559","usgsCitation":"Yanites, B.J., Clark, M., Roering, J., West, A.J., Zekkos, D., Baldwin, J., Cerovski-Darriau, C., Gallen, S.F., Horton, D., Kirby, E., Leshchinksy, B., Mason, H., Moon, S., Barnhart, K.R., Booth, A.M., Czuba, J.A., McCoy, S., McGuire, L.A., Pfeiffer, A.M., and Pierce, J.L., 2025, Cascading land surface hazards as a nexus in the Earth system: Science, v. 388, no. 6754, eadp9559, 14 p., https://doi.org/10.1126/science.adp9559.","productDescription":"eadp9559, 14 p.","ipdsId":"IP-175277","costCenters":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"links":[{"id":491531,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"southern California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.93431730228826,\n 35.75003744829698\n ],\n [\n -121.93431730228826,\n 34.181497359818295\n ],\n [\n -117.82269382475025,\n 34.181497359818295\n ],\n [\n -117.82269382475025,\n 35.75003744829698\n ],\n [\n -121.93431730228826,\n 35.75003744829698\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"388","issue":"6754","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Yanites, Brian J.","contributorId":28792,"corporation":false,"usgs":false,"family":"Yanites","given":"Brian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":941459,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Marin 0000-0002-6141-8422","orcid":"https://orcid.org/0000-0002-6141-8422","contributorId":315585,"corporation":false,"usgs":false,"family":"Clark","given":"Marin","email":"","affiliations":[{"id":37387,"text":"University of Michigan","active":true,"usgs":false}],"preferred":false,"id":941460,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roering, Joshua J.","contributorId":194297,"corporation":false,"usgs":false,"family":"Roering","given":"Joshua J.","affiliations":[],"preferred":false,"id":941461,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"West, A. 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Benjamin","affiliations":[{"id":84912,"text":"Department of Geological Sciences and Engineering, MS 172 College of Science University of Nevada, Reno NV, USA","active":true,"usgs":false}],"preferred":false,"id":941470,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Moon, Seulgi 0000-0001-5207-1781","orcid":"https://orcid.org/0000-0001-5207-1781","contributorId":264625,"corporation":false,"usgs":false,"family":"Moon","given":"Seulgi","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":941471,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Barnhart, Katherine R. 0000-0001-5682-455X","orcid":"https://orcid.org/0000-0001-5682-455X","contributorId":257870,"corporation":false,"usgs":true,"family":"Barnhart","given":"Katherine","email":"","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":941472,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Booth, Adam M. 0000-0002-7339-0594","orcid":"https://orcid.org/0000-0002-7339-0594","contributorId":241907,"corporation":false,"usgs":false,"family":"Booth","given":"Adam","email":"","middleInitial":"M.","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":941473,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Czuba, Jonathan A. 0000-0002-9485-2604","orcid":"https://orcid.org/0000-0002-9485-2604","contributorId":301942,"corporation":false,"usgs":false,"family":"Czuba","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":941474,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"McCoy, Scott W.","contributorId":267182,"corporation":false,"usgs":false,"family":"McCoy","given":"Scott W.","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":941475,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"McGuire, Luke A. 0000-0001-8178-7922 lmcguire@usgs.gov","orcid":"https://orcid.org/0000-0001-8178-7922","contributorId":203420,"corporation":false,"usgs":false,"family":"McGuire","given":"Luke","email":"lmcguire@usgs.gov","middleInitial":"A.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":941476,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Pfeiffer, Allison M. 0000-0002-3974-132X","orcid":"https://orcid.org/0000-0002-3974-132X","contributorId":273227,"corporation":false,"usgs":false,"family":"Pfeiffer","given":"Allison","email":"","middleInitial":"M.","affiliations":[{"id":12723,"text":"Western Washington University","active":true,"usgs":false}],"preferred":false,"id":941477,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Pierce, Jennifer L.","contributorId":190214,"corporation":false,"usgs":false,"family":"Pierce","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":941478,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}} ,{"id":70270342,"text":"70270342 - 2025 - Trait-based selection of seeds ingested and dispersed by North American waterfowl","interactions":[],"lastModifiedDate":"2025-08-15T14:50:18.399824","indexId":"70270342","displayToPublicDate":"2025-06-26T07:44:19","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10760,"text":"Plants","active":true,"publicationSubtype":{"id":10}},"title":"Trait-based selection of seeds ingested and dispersed by North American waterfowl","docAbstract":"There are few studies on the extent to which waterfowl select plant food compared with what is available in wetland ecosystems. We used a new dataset on the presence of seeds in the alimentary canal or feces to identify flowering plant species whose seeds are ingested by North American ducks or geese. These data are a proxy for dispersal interactions because an important fraction of ingested seeds survives gut passage and is dispersed by endozoochory. We compared the plant traits of species whose seeds were ingested with those of species on the U.S. Department of Agriculture National Wetland Plants List (NWPL). Using a global dataset on plant form and function and chi-squared tests, we compared four categorical traits (moisture requirements, growth form, plant height, and seed mass) between species whose seeds are ingested by North American ducks and geese with the NWPL. Our analyses identified significant differences between the trait distributions of plants whose seeds were ingested by waterfowl guilds and those of the NWPL. Geese and ducks (except whistling ducks) ingested more aquatic and semiaquatic plant species than expected from the NWPL. All guilds except sea ducks ingested more herbaceous graminoids and fewer shrubs or trees than expected. Diving ducks interacted with fewer of the taller plants (>5 m) than expected, but otherwise plant height distributions did not differ from those expected. All waterfowl guilds ingested more species of intermediate seed size (1–10 mg) and fewer species of the smallest (<0.1 mg) or largest (>100 mg) size categories than expected. These results help to explain the role of the long-distance dispersal of seeds by migratory waterfowl in plant biogeography and how plant distributions are likely to respond to global change.
","language":"English","publisher":"MDPI","doi":"10.3390/plants14131964","usgsCitation":"Almeida, B.A., Costea, M., Silva, G.G., Maltchik, L., De La Cruz, S.E., Takekawa, J.Y., and Green, A.J., 2025, Trait-based selection of seeds ingested and dispersed by North American waterfowl: Plants, v. 14, no. 13, 1964, 12 p., https://doi.org/10.3390/plants14131964.","productDescription":"1964, 12 p.","ipdsId":"IP-180162","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":494450,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/plants14131964","text":"Publisher Index Page"},{"id":494211,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Mexico, United States","otherGeospatial":"North America","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -148.98935564630023,\n 66.79316322863721\n ],\n [\n -104.80966943364379,\n 10.699740032054962\n ],\n [\n -77.12368693753503,\n 23.768509613408824\n ],\n [\n -33.98703454355167,\n 66.79316322863721\n ],\n [\n -148.98935564630023,\n 66.79316322863721\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","issue":"13","noUsgsAuthors":false,"publicationDate":"2025-06-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Almeida, Bia A.","contributorId":359722,"corporation":false,"usgs":false,"family":"Almeida","given":"Bia","middleInitial":"A.","affiliations":[{"id":85907,"text":"Estación Biológica de Doñana (EBD), Consejo Superior de Investigaciones Cientifícas (CSIC)","active":true,"usgs":false}],"preferred":false,"id":946145,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Costea, Mihai","contributorId":169521,"corporation":false,"usgs":false,"family":"Costea","given":"Mihai","email":"","affiliations":[{"id":25551,"text":"Dep't of Biology, Wilfrid Laurier U, Waterloo, Ontario","active":true,"usgs":false}],"preferred":false,"id":946146,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Silva, Giliandro G.","contributorId":359723,"corporation":false,"usgs":false,"family":"Silva","given":"Giliandro","middleInitial":"G.","affiliations":[{"id":85908,"text":"Federal University of Rio Grande","active":true,"usgs":false}],"preferred":false,"id":946147,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maltchik, Leonardo","contributorId":347171,"corporation":false,"usgs":false,"family":"Maltchik","given":"Leonardo","affiliations":[{"id":83092,"text":"Programa de Pós-Graduação em Biologia de Ambientes Aquáticos Continentais, Universidade Federal do Rio Grande (FURG), Rio Grande, RS, Brazil","active":true,"usgs":false}],"preferred":false,"id":946148,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"De La Cruz, Susan E.W. 0000-0001-6315-0864","orcid":"https://orcid.org/0000-0001-6315-0864","contributorId":202774,"corporation":false,"usgs":true,"family":"De La Cruz","given":"Susan","email":"","middleInitial":"E.W.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":946149,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Takekawa, John Y.","contributorId":359724,"corporation":false,"usgs":false,"family":"Takekawa","given":"John","middleInitial":"Y.","affiliations":[{"id":36688,"text":"Suisun Resource Conservation District","active":true,"usgs":false}],"preferred":false,"id":946150,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Green, Andy J.","contributorId":359725,"corporation":false,"usgs":false,"family":"Green","given":"Andy","middleInitial":"J.","affiliations":[{"id":85907,"text":"Estación Biológica de Doñana (EBD), Consejo Superior de Investigaciones Cientifícas (CSIC)","active":true,"usgs":false}],"preferred":false,"id":946151,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70268271,"text":"sir20255043 - 2025 - Hydrogeology, water budget, and simulated groundwater availability in the Salt Fork Arkansas River and Chikaskia River alluvial aquifers, northern Oklahoma, 1980–2020","interactions":[],"lastModifiedDate":"2026-01-26T19:24:17.680372","indexId":"sir20255043","displayToPublicDate":"2025-06-25T12:32:42","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5043","displayTitle":"Hydrogeology, Water Budget, and Simulated Groundwater Availability in the Salt Fork Arkansas River and Chikaskia River Alluvial Aquifers, Northern Oklahoma, 1980–2020","title":"Hydrogeology, water budget, and simulated groundwater availability in the Salt Fork Arkansas River and Chikaskia River alluvial aquifers, northern Oklahoma, 1980–2020","docAbstract":"The 1973 Oklahoma Groundwater Law (Oklahoma Statute §82–1020.5) requires that the Oklahoma Water Resources Board conduct hydrologic investigations of the State’s aquifers to determine the maximum annual yield for each groundwater basin. The U.S. Geological Survey, in cooperation with the Oklahoma Water Resources Board, conducted an updated hydrologic investigation of the Salt Fork Arkansas River and Chikaskia River alluvial aquifers in northern Oklahoma for the study period spanning 1980–2020 and evaluated the simulated effects of potential groundwater withdrawals on groundwater flow and availability in the Salt Fork Arkansas River alluvial aquifer. A hydrogeologic framework and conceptual model were developed to guide the development of a numerical model.
Three groundwater-availability scenarios were evaluated by using the calibrated numerical model, which was focused on the Salt Fork Arkansas River alluvial aquifer. These scenarios were used to (1) estimate equal-proportionate-share groundwater withdrawal rates, (2) quantify the potential effects of projected well withdrawals on groundwater storage over a 50-year period, and (3) simulate the potential effects of a hypothetical 10-year drought. The 20-, 40-, and 50-year equal-proportionate-share groundwater withdrawal rates for the Salt Fork Arkansas River alluvial aquifer under normal recharge conditions were about 0.63, 0.58, and 0.57 acre-foot per acre per year, respectively. Projected 50-year groundwater withdrawal scenarios were used to simulate the effects of modified well withdrawal rates. Because well withdrawals were less than 2 percent of the calibrated numerical-model water budget, changes to the well groundwater withdrawal rates had little effect on simulated Salt Fork Arkansas River base flows and groundwater storage in the Salt Fork Arkansas River alluvial aquifer. A hypothetical 10-year drought scenario was used to simulate the potential effects of a prolonged period of reduced recharge on groundwater storage. Groundwater storage at the end of the hypothetical drought period was 14.5 percent less than the groundwater storage of the calibrated numerical model without the simulated drought.
Director, Oklahoma-Texas Water Science Center
U.S. Geological Survey
1505 Ferguson Lane
Austin, TX 78754–4501
Contact Us- USGS Publications Warehouse
","tableOfContents":"Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean conventional resources of 4,098 million barrels of oil and 13,268 billion cubic feet of gas in the North Cuba area.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20253029","programNote":"National and Global Petroleum Assessment","usgsCitation":"Schenk, C.J., Mercier, T.J., Le, P.A., Cicero, A.D., Drake, R.M., II, Gelman, S.E., Hearon, J.S., Johnson, B.G., Lagesse, J.H., Leathers-Miller, H.M., and Timm, K.K., 2025, Assessment of undiscovered conventional oil and gas resources in the North Cuba area, 2024: U.S. Geological Survey Fact Sheet 2025–3029, 4 p., https://doi.org/10.3133/fs20253029.","productDescription":"Report: 4 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-169197","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":491381,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20253029/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2025-3029"},{"id":491283,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2025/3029/fs20253029.xml"},{"id":491282,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2025/3029/images"},{"id":491032,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2025/3029/fs20253029_fixed.pdf","text":"Report","size":"1.42 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2025-3029"},{"id":491031,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2025/3029/coverthb3.jpg"},{"id":491033,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14BFJJC","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project—North Cuba Area: Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables"}],"country":"Cuba","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -86.89661401800267,\n 24.36915429159879\n ],\n [\n -86.89661401800267,\n 21.045239070093857\n ],\n [\n -76.47167898192627,\n 21.045239070093857\n ],\n [\n -76.47167898192627,\n 24.36915429159879\n ],\n [\n -86.89661401800267,\n 24.36915429159879\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
The Grand Canyon River Alert System (GCRAS) provides government-issued emergency alerts to wilderness recreationalists in the Grand Canyon, who are often outside the bounds of cellular signal reception. GCRAS is a collaboration between the U.S. Geological Survey (Grand Canyon Monitoring and Research Center), National Weather Service, Coconino County Emergency Management, and National Park Service. Technological advances in satellite communications have improved satellite signal availability in remote areas and increased the reliability of satellite communications using personal devices such as commercially available satellite messaging devices. These advancements have presented an opportunity to create a novel emergency alert system designed primarily for backcountry visitors to provide improved communications for periods of increased risk and potentially dangerous situations in the backcountry. GCRAS is designed specifically for the distinctive needs of satellite messaging devices and features reduced character count messages, short-code signup capability, and the ability to unsubscribe at any time. After a positive test of the system in March 2024, the system went live to the public and has been used more than two dozen times in 2024 to inform boaters and hikers of hazards (such as debris flows and flash floods) in the Grand Canyon. Satellite signal availability and device response time varies based on location and service provider, but initial testing showed messages arriving within 2–10 minutes. Although GCRAS was developed specifically for the Grand Canyon, the GCRAS framework could be applied to other wilderness areas. It can be used by emergency management authorities, land-management agencies, search and rescue units, and those concerned with public safety to help increase communication with people visiting or living in areas that are outside the signal of more traditional emergency-notification methods, such as cellular, wireless emergency alerts, and sirens.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251027","usgsCitation":"Thomas, J.E., Gushue, T.M., Byerley, E., and Grams, P., 2025, Grand Canyon River Alert System—Implementing an emergency alert system for wilderness recreation: U.S. Geological Survey Open-File Report 2025–1027, 9 p., https://doi.org/10.3133/ofr20251027.","productDescription":"vi, 9 p.","onlineOnly":"Y","ipdsId":"IP-166852","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":491300,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1027/images"},{"id":491297,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1027/coverthb.jpg"},{"id":491301,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1027/ofr20251027.XML"},{"id":491299,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251027/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2025-1027"},{"id":491298,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1027/ofr20251027.pdf","text":"Report","size":"24.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2025-1027"}],"country":"United States","state":"Arizona","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -114.05083740896649,\n 36.823773492081415\n ],\n [\n -114.05083740896649,\n 35.58732870070932\n ],\n [\n -111.53233878502289,\n 35.58732870070932\n ],\n [\n -111.53233878502289,\n 36.823773492081415\n ],\n [\n -114.05083740896649,\n 36.823773492081415\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Southwest Biological Science Center
U.S. Geological Survey
2255 N. Gemini Drive
Flagstaff, AZ 86001
Limitations of traditional insect sampling methods have motivated the development and optimisation of new non-lethal methods capable of quantifying diverse arthropod communities. Environmental DNA (eDNA) metabarcoding using arthropod-specific primers has recently been investigated as a novel way to characterise arthropod communities from the DNA they deposit on the surface of plants. This sampling method has had demonstrated success, but pollinators—especially bees—are oddly underrepresented in these studies. To evaluate this inconsistency, we investigated the limitations of eDNA metabarcoding for bees and other pollinators. We compared pollinator diversity derived from eDNA extracted from flowers and DNA extracted from pulverised bulk samples of insects collected from vane traps deployed at the same sites using three metabarcoding primers, two of which target arthropods generally (COI-Jusino and 16S-Marquina) and one that targets bumblebees (Bombus spp., COI-Milam). Across methods, we detected 77 insect families from 9 orders. The COI-Jusino marker amplified the highest taxonomic diversity compared to 16S-Marquina and COI-Milam. More amplicon sequence variants (ASVs) were recovered from vane traps (blue: 1357, yellow: 1542) than flowers (245), but only 23% of families and 13% of genera were shared among methods, indicating that flowers and blue and yellow vane traps may each sample different parts of the available arthropod community. Of 29 flower samples with known bee visitations, only 10 samples had bee detections from eDNA, and incomplete reference databases hindered assignment to species. Although our study provides additional evidence for the usefulness of eDNA metabarcoding for characterising arthropod communities, significant challenges remain when using eDNA metabarcoding methods to identify and quantify pollinator communities, especially bees.
","language":"English","doi":"10.1111/mec.70003","usgsCitation":"Jones, K., Pilliod, D.S., and Aunins, A.W., 2025, Metabarcoding analysis of arthropod pollinator diversity: A methodological comparison of eDNA derived from flowers and DNA derived from bulk samples of insects: Molecular Ecology, v. 34, no. 14, e70003, 17 p., https://doi.org/10.1111/mec.70003.","productDescription":"e70003, 17 p.","ipdsId":"IP-175536","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":492510,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/mec.70003","text":"Publisher Index Page"},{"id":492417,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"14","noUsgsAuthors":false,"publicationDate":"2025-06-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Jones, Kara Suzanne 0000-0002-8168-0815","orcid":"https://orcid.org/0000-0002-8168-0815","contributorId":331477,"corporation":false,"usgs":true,"family":"Jones","given":"Kara Suzanne","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":943285,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pilliod, David S. 0000-0003-4207-3518","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":216342,"corporation":false,"usgs":true,"family":"Pilliod","given":"David","middleInitial":"S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":943286,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aunins, Aaron 0000-0001-5240-1453 aaunins@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-1453","contributorId":5863,"corporation":false,"usgs":true,"family":"Aunins","given":"Aaron","email":"aaunins@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":943287,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70274687,"text":"70274687 - 2025 - Karhunen–Loève deep learning method for surrogate modeling and approximate Bayesian parameter estimation","interactions":[],"lastModifiedDate":"2026-04-06T14:26:32.391134","indexId":"70274687","displayToPublicDate":"2025-06-25T09:20:36","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":664,"text":"Advances in Water Resources","active":true,"publicationSubtype":{"id":10}},"title":"Karhunen–Loève deep learning method for surrogate modeling and approximate Bayesian parameter estimation","docAbstract":"Mangroves not only provide ecosystem and cultural services but also contribute to the mitigation of global warming. Mangrove dynamics and their environmental responses as re-constructed from the past can inform current mangrove conservation and restoration. However, our understanding of mangrove dynamics over the past century and the impact of human activities on these ecosystems remains limited. Using the quantified mangrove-derived organic carbon (MOC) contributions of seven sediment cores, we reconstructed the historical mangrove dynamics in Yingluo Bay and the Maowei Sea in tropical China dating back to 1900. The results indicated that the natural undisturbed mangroves in Yingluo Bay flourished in response to rising temperatures. In contrast, the significantly human-disturbed mangroves in Maowei Sea experienced a marked decline. Although both areas share similar natural conditions, intense anthropogenic disturbance reversed the natural potential for mangrove growth in the Maowei Sea. To explore the global prevalence of this phenomenon, we compiled data on mangrove pollen, δ13Corg, MOC, and mangrove area change from over 40 sites/regions worldwide, and re-constructed the natural and human-affected mangrove dynamics over the past century. Our findings indicated that, owing to the globally rising temperatures, natural undisturbed mangroves have gradually expanded as progressively more healthy forests, while human-disturbed mangroves exhibited three patterns: (1) continuous degradation, (2) flourishing-degradation, and (3) degradation-regeneration. Anthropogenic activities, such as seawall construction, aquaculture activity, agricultural expansion, logging, and urbanization have significantly reversed the natural health of mangroves such that any conservation and restoration strategy used for mangroves globally could inherently consider anthropogenic factors along with natural environmental change for better outcomes.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gloplacha.2025.104950","usgsCitation":"Zhang, Y., Zhao, G., Krauss, K., Pan, L., Xu, Y., and Meng, X., 2025, Anthropogenic activities have greatly altered mangroves over the last hundred years: Global and Planetary Change, v. 253, 104950, 17 p., https://doi.org/10.1016/j.gloplacha.2025.104950.","productDescription":"104950, 17 p.","ipdsId":"IP-172933","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":492905,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"253","noUsgsAuthors":false,"publicationDate":"2025-06-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Zhang, Yao","contributorId":358653,"corporation":false,"usgs":false,"family":"Zhang","given":"Yao","affiliations":[{"id":78354,"text":"China Geological Survey","active":true,"usgs":false}],"preferred":false,"id":944017,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhao, Guangming","contributorId":173535,"corporation":false,"usgs":false,"family":"Zhao","given":"Guangming","email":"","affiliations":[{"id":27244,"text":"Qingdao Institute of Marine Geology, China","active":true,"usgs":false}],"preferred":false,"id":944018,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krauss, Ken 0000-0003-2195-0729","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":223022,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":944019,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pan, Lianghao","contributorId":358641,"corporation":false,"usgs":false,"family":"Pan","given":"Lianghao","affiliations":[{"id":85663,"text":"Guangxi Key Lab of Mangrove Conservation and Utilization, Guangxi Mangrove Research Center, Guangxi Academy of Marine Sciences, Beihai, China","active":true,"usgs":false}],"preferred":false,"id":944020,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Xu, Yuanqin","contributorId":358642,"corporation":false,"usgs":false,"family":"Xu","given":"Yuanqin","affiliations":[{"id":85666,"text":"First Institute of Oceanography, Ministry of Natural Resources, Qingdao, China","active":true,"usgs":false}],"preferred":false,"id":944021,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Meng, Xianwei","contributorId":358643,"corporation":false,"usgs":false,"family":"Meng","given":"Xianwei","affiliations":[{"id":85666,"text":"First Institute of Oceanography, Ministry of Natural Resources, Qingdao, China","active":true,"usgs":false}],"preferred":false,"id":944022,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}