{"pageNumber":"38","pageRowStart":"925","pageSize":"25","recordCount":41022,"records":[{"id":70268873,"text":"70268873 - 2025 - Fine-grained temporal population monitoring of a declining, critically endangered Hawaiian honeycreeper","interactions":[],"lastModifiedDate":"2025-07-09T15:30:15.328887","indexId":"70268873","displayToPublicDate":"2025-06-01T08:24:51","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9319,"text":"Frontiers in Conservation Science","active":true,"publicationSubtype":{"id":10}},"title":"Fine-grained temporal population monitoring of a declining, critically endangered Hawaiian honeycreeper","docAbstract":"<p>Annual point counts are commonly used to monitor birds to track population densities across space and time. Palila (<i>Loxioides bailleui</i>) are surveyed annually in the first quarter, but we recently instituted quarterly sampling that offers a unique opportunity to improve estimator precision. We conducted point-transect distance sampling point counts during the first quarter of 2020 through 2024, and the second through fourth quarters in 2022 and 2023, and the second quarter in 2024. The reduced sampling intensity during the quarterly counts, however, requires model-based methods to estimate abundance to the entire sampling frame. We modeled spatial and temporal correlation using a soap film smoother within a generalized additive modeling framework, a density surface model, fitted to palila counts each quarter for the five-year timeseries to track changes in population abundances. Our results indicate that palila maintained a high-density hotspot throughout the five-year timeseries; however, the extent of the hotspot declined substantially over the timeseries while densities within the hotspot declined from about 3 birds/ha in 2020 to about 1 bird/ha in 2024, which resulted in a 66% decline in palila abundances over 5 years. Density surface model estimates give on average a confidence interval width that was 74.7% shorter than the associated distance sampling confidence interval widths. Our results indicate that palila may benefit most if management actions were applied within the remaining hotspot. Additionally, this temporally fine-grained sampling provides information on seasonal movement patterns and resource tracking, and population response to management and conservation actions. Our spatially explicit, model-based approach is applicable to a wide range of monitoring programs, particularly those with inconsistent, opportunistic spatial coverage.</p>","language":"English","publisher":"frontiers","doi":"10.3389/fcosc.2025.1564661","usgsCitation":"Camp, R.J., Asing, C.K., Hunt, N., Wang, A., Farmer, C., Neitmann, L., and Banko, P.C., 2025, Fine-grained temporal population monitoring of a declining, critically endangered Hawaiian honeycreeper: Frontiers in Conservation Science, v. 6, 1564661, 10 p., https://doi.org/10.3389/fcosc.2025.1564661.","productDescription":"1564661, 10 p.","ipdsId":"IP-177644","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":492087,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fcosc.2025.1564661","text":"Publisher Index Page"},{"id":491904,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Mauna Kea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -155.61817507930547,\n              19.93574865703343\n            ],\n            [\n              -155.61817507930547,\n              19.691994873461468\n            ],\n            [\n              -155.38803917004466,\n              19.691994873461468\n            ],\n            [\n              -155.38803917004466,\n              19.93574865703343\n            ],\n            [\n              -155.61817507930547,\n              19.93574865703343\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"6","noUsgsAuthors":false,"publicationDate":"2025-06-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Camp, Richard J. 0000-0001-7008-923X rick_camp@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-923X","contributorId":189964,"corporation":false,"usgs":true,"family":"Camp","given":"Richard","email":"rick_camp@usgs.gov","middleInitial":"J.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":942452,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Asing, Chauncey K.","contributorId":272645,"corporation":false,"usgs":false,"family":"Asing","given":"Chauncey","email":"","middleInitial":"K.","affiliations":[{"id":40951,"text":"University of Hawai‘i - Mānoa","active":true,"usgs":false}],"preferred":false,"id":942453,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunt, Noah J. 0009-0008-9859-7007","orcid":"https://orcid.org/0009-0008-9859-7007","contributorId":357746,"corporation":false,"usgs":false,"family":"Hunt","given":"Noah J.","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":942454,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wang, Alexander","contributorId":344103,"corporation":false,"usgs":false,"family":"Wang","given":"Alexander","email":"","affiliations":[{"id":56397,"text":"State of Hawai‘i, Division of Forestry and Wildlife","active":true,"usgs":false}],"preferred":false,"id":942455,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Farmer, Chris","contributorId":150179,"corporation":false,"usgs":false,"family":"Farmer","given":"Chris","affiliations":[{"id":17929,"text":"American Bird Conservancy","active":true,"usgs":false}],"preferred":false,"id":942456,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Neitmann, Lindsey","contributorId":357751,"corporation":false,"usgs":false,"family":"Neitmann","given":"Lindsey","affiliations":[{"id":56397,"text":"State of Hawai‘i, Division of Forestry and Wildlife","active":true,"usgs":false}],"preferred":false,"id":942457,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Banko, Paul C. 0000-0002-6035-9803 pbanko@usgs.gov","orcid":"https://orcid.org/0000-0002-6035-9803","contributorId":3179,"corporation":false,"usgs":true,"family":"Banko","given":"Paul","email":"pbanko@usgs.gov","middleInitial":"C.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":942458,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70270043,"text":"70270043 - 2025 - Resolution sensitivities for subgrid modeling of coastal flooding","interactions":[],"lastModifiedDate":"2025-08-08T19:06:19.920299","indexId":"70270043","displayToPublicDate":"2025-05-31T08:08:53","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1262,"text":"Coastal Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Resolution sensitivities for subgrid modeling of coastal flooding","docAbstract":"<p><span>Flooding due to storm surge can propagate through coastal regions to threaten the built and natural environments. This propagation is controlled by geographic features of varying scales, from the largest oceans to the smallest marsh channels and sandy dunes. Numerical models to predict coastal flooding have been improved via the use of subgrid corrections, which use information about the smallest-scale flow controls to provide corrections to coarser scale grids. Although previous studies have demonstrated the benefits of subgrid models, especially how coarser models can be more efficient without a trade-off in accuracy, this study systematically investigates subgrid corrections in storm surge models across large domains. Here, we apply the widely used ADVanced CIRCulation (ADCIRC) storm surge model with revised subgrid corrections to develop guidance for resolution of coastal regions. Recent hurricanes in the South Atlantic Bight are simulated with five models, each with varying resolution of coastal islands, estuaries, rivers, and floodplains. Model performance is quantified via comparisons with observed data and high-resolution simulations. Clear degradation is observed in the subgrid model performance as minimum mesh resolution becomes coarser than the width of channels conveying flow or the barrier islands blocking flow. Therefore, subgrid model mesh resolution should account for spatial scales of local flow pathways and barrier islands to maintain proper model mass and momentum transfer. However, with subgrid modeling this can be done at much coarser (and thus computationally faster) resolutions than with conventional models.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.coastaleng.2025.104787","usgsCitation":"Woodruff, J., Dietrich, J., Wirasaet, D., Kennedy, A., Bolster, D., and Luettich, R., 2025, Resolution sensitivities for subgrid modeling of coastal flooding: Coastal Engineering, v. 201, 104787, 21 p., https://doi.org/10.1016/j.coastaleng.2025.104787.","productDescription":"104787, 21 p.","ipdsId":"IP-169265","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":493892,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"south Atlantic coast","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -76.4525010504607,\n              35.026033061132466\n            ],\n            [\n              -79.24219819510189,\n              34.328207448127046\n            ],\n            [\n              -82.26867209188597,\n              30.740037872429845\n            ],\n            [\n              -81.1870113426256,\n              25.032751881316358\n            ],\n            [\n              -80.0037059437347,\n              25.16924717636583\n            ],\n            [\n              -79.99792361076327,\n              27.312432791511757\n            ],\n            [\n              -81.20057957391982,\n              30.892489907643174\n            ],\n            [\n              -76.4525010504607,\n              35.026033061132466\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"201","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Woodruff, Johnathan Lucas 0000-0003-2806-8421","orcid":"https://orcid.org/0000-0003-2806-8421","contributorId":356688,"corporation":false,"usgs":true,"family":"Woodruff","given":"Johnathan Lucas","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":945222,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dietrich, Joel C. 0000-0001-5294-2874","orcid":"https://orcid.org/0000-0001-5294-2874","contributorId":352432,"corporation":false,"usgs":false,"family":"Dietrich","given":"Joel C.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":945223,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wirasaet, Damrongsak","contributorId":359382,"corporation":false,"usgs":false,"family":"Wirasaet","given":"Damrongsak","affiliations":[{"id":39516,"text":"University of Notre Dame","active":true,"usgs":false}],"preferred":false,"id":945224,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kennedy, Andrew B.","contributorId":359383,"corporation":false,"usgs":false,"family":"Kennedy","given":"Andrew B.","affiliations":[{"id":39516,"text":"University of Notre Dame","active":true,"usgs":false}],"preferred":false,"id":945225,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bolster, Diogo","contributorId":266171,"corporation":false,"usgs":false,"family":"Bolster","given":"Diogo","email":"","affiliations":[{"id":39516,"text":"University of Notre Dame","active":true,"usgs":false}],"preferred":false,"id":945226,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Luettich, Richard A.","contributorId":359386,"corporation":false,"usgs":false,"family":"Luettich","given":"Richard A.","affiliations":[{"id":55603,"text":"University of North Carolina Chapel Hill","active":true,"usgs":false}],"preferred":false,"id":945227,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70267803,"text":"70267803 - 2025 - Integrated distribution modeling resolves asynchrony between bat population impacts and occupancy trends through latent abundance","interactions":[],"lastModifiedDate":"2025-06-02T14:57:26.126575","indexId":"70267803","displayToPublicDate":"2025-05-30T09:51:12","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5729,"text":"Communications Biology","active":true,"publicationSubtype":{"id":10}},"title":"Integrated distribution modeling resolves asynchrony between bat population impacts and occupancy trends through latent abundance","docAbstract":"<p><span>Monitoring populations is challenging for cryptic species with seasonal life cycles, where data from multiple field techniques are commonly collected and analyzed as multiple lines of evidence. Data integration can provide comprehensive inferences while improving accuracy, precision, and scope but faces challenges in modeling misaligned resolutions and observational uncertainties. We developed a multi-scale, integrated species distribution model (MS-iSDM) for North American bats to combine data across monitoring types and seasons using joint likelihood methods, observational models with false-negatives and false-positives, and seasonal migratory connectivity. We applied this model to 11 years of data for an imperiled bat species (tricolored bat,&nbsp;</span><i>Perimyotis subflavus</i><span>). Relative abundance and occupancy were linked with multi-scale predictors, revealing clear patterns of population declines, but with important differences in spatial trends (abundance: corresponded with white-nose syndrome impacts, occupancy: at the range periphery) and overall severity (abundance: -74.8%, 95% CRI: -79.7% to -69.3%; occupancy: -35.5%, 95% CRI: -41.1% to -30.2%). The asynchrony between occupancy trends and population impacts was explained as an emergent pattern of spatiotemporal variation in abundance in the integrated distribution model. Compared to multiple lines of evidence, the integrated model provided consensus-estimates, increased precision and spatiotemporal scope, and strengthened evidence of population declines.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s42003-025-08238-x","usgsCitation":"Udell, B.J., Stratton, C., Irvine, K., Straw, B., Reichard, J.D., Gaulke, S., Coleman, J., Tousley, F., Schuhmann, A.N., Inman, R.D., Turner, M., Nystrom, S., and Reichert, B., 2025, Integrated distribution modeling resolves asynchrony between bat population impacts and occupancy trends through latent abundance: Communications Biology, v. 8, 832, 14 p., https://doi.org/10.1038/s42003-025-08238-x.","productDescription":"832, 14 p.","ipdsId":"IP-173810","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":490165,"rank":0,"type":{"id":40,"text":"Open Access Publisher 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 -116.04818,\n                49\n              ],\n              [\n                -113,\n                49\n              ],\n              [\n                -110.05,\n                49\n              ],\n              [\n                -107.05,\n                49\n              ],\n              [\n                -104.04826,\n                48.99986\n              ],\n              [\n                -100.65,\n                49\n              ],\n              [\n                -97.22872,\n                49.0007\n              ],\n              [\n                -95.15907,\n                49\n              ],\n              [\n                -95.15609,\n                49.38425\n              ],\n              [\n                -94.81758,\n                49.38905\n              ]\n            ]\n          ]\n        ]\n      },\n      \"properties\": {\n        \"name\": \"United States\"\n      }\n    }\n  ]\n}","volume":"8","noUsgsAuthors":false,"publicationDate":"2025-05-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Udell, Bradley James 0000-0001-5225-4959","orcid":"https://orcid.org/0000-0001-5225-4959","contributorId":271174,"corporation":false,"usgs":true,"family":"Udell","given":"Bradley","email":"","middleInitial":"James","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":938939,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stratton, Christian","contributorId":265905,"corporation":false,"usgs":false,"family":"Stratton","given":"Christian","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":938940,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Irvine, Kathryn 0000-0002-6426-940X","orcid":"https://orcid.org/0000-0002-6426-940X","contributorId":221555,"corporation":false,"usgs":true,"family":"Irvine","given":"Kathryn","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":938941,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Straw, Bethany R. 0000-0001-9086-4600","orcid":"https://orcid.org/0000-0001-9086-4600","contributorId":271020,"corporation":false,"usgs":true,"family":"Straw","given":"Bethany","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":938942,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reichard, Jonathan D. 0000-0002-4792-2868","orcid":"https://orcid.org/0000-0002-4792-2868","contributorId":337073,"corporation":false,"usgs":false,"family":"Reichard","given":"Jonathan","email":"","middleInitial":"D.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":938943,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gaulke, Sarah M.","contributorId":329057,"corporation":false,"usgs":false,"family":"Gaulke","given":"Sarah M.","affiliations":[{"id":78571,"text":"Colorado National Heritage Program","active":true,"usgs":false}],"preferred":false,"id":938944,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Coleman, Jeremy. T.H.","contributorId":354815,"corporation":false,"usgs":false,"family":"Coleman","given":"Jeremy. T.H.","affiliations":[{"id":40296,"text":"United States Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":938945,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tousley, Frank C","contributorId":354818,"corporation":false,"usgs":false,"family":"Tousley","given":"Frank C","affiliations":[{"id":78571,"text":"Colorado National Heritage Program","active":true,"usgs":false}],"preferred":false,"id":938946,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schuhmann, Andrea Nichole 0009-0005-8244-4303","orcid":"https://orcid.org/0009-0005-8244-4303","contributorId":329059,"corporation":false,"usgs":true,"family":"Schuhmann","given":"Andrea","email":"","middleInitial":"Nichole","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":938947,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Inman, Rich D. 0000-0001-6177-071X","orcid":"https://orcid.org/0000-0001-6177-071X","contributorId":343916,"corporation":false,"usgs":true,"family":"Inman","given":"Rich","email":"","middleInitial":"D.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":938948,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Turner, Melinda","contributorId":354821,"corporation":false,"usgs":false,"family":"Turner","given":"Melinda","affiliations":[{"id":40296,"text":"United States Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":938949,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Nystrom, Sarah","contributorId":354822,"corporation":false,"usgs":false,"family":"Nystrom","given":"Sarah","affiliations":[{"id":40296,"text":"United States Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":938950,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Reichert, Brian E. 0000-0002-9640-0695","orcid":"https://orcid.org/0000-0002-9640-0695","contributorId":204260,"corporation":false,"usgs":true,"family":"Reichert","given":"Brian","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":938951,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70267781,"text":"70267781 - 2025 - Foundational uncertainties in terminal Ediacaran chronostratigraphy revealed by high-precision zircon U-Pb geochronology of the Nama Group, Namibia","interactions":[],"lastModifiedDate":"2025-06-02T14:50:19.190548","indexId":"70267781","displayToPublicDate":"2025-05-30T09:42:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1431,"text":"Earth-Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Foundational uncertainties in terminal Ediacaran chronostratigraphy revealed by high-precision zircon U-Pb geochronology of the Nama Group, Namibia","docAbstract":"<div id=\"sp0110\" class=\"u-margin-s-bottom\">The Nama Group of southern Namibia and northwestern South Africa hosts the best-dated mixed carbonate-siliciclastic foreland basin succession of the terminal Ediacaran [ca. 551 million years (Ma) ago to &lt;538&nbsp;Ma] and is key for resolving the chronology of early metazoan evolution. Numerous silicified volcanic tuff interbeds are present, but differing interpretations regarding the fidelity of their ages lead to different regional stratigraphic correlations, especially for the Urusis Formation of the Schwarzrand Subgroup. An expanded record of the Urusis Formation is found in the Swartpunt area of southern Namibia, which has yielded an important metazoan biota. But the succession in this area is preserved as a series of thrusts at the leading edge of the Gariep orogenic belt and zircon U-Pb data show systematic age repetition. We use regional stratigraphic and structural mapping, integrated with carbonate carbon isotope (δ<sup>13</sup>C<sub>carb</sub>) chemostratigraphy and high-precision radioisotope U-Pb zircon geochronology from outcrop and recently acquired drill core to develop a temporally calibrated basin-wide depositional model. This integrated dataset either reflects complex zircon reworking, inheritance, or potential analytical biases (Scenario 1) or the presence of a Gariep-related cryptic décollement within the Spitskop Member that has resulted in stratigraphic repetition (Scenario 2). We investigate the evidence for and against both scenarios and consider their implications for stratigraphic and δ<sup>13</sup>C<sub>carb</sub><span>&nbsp;</span>correlations between the Swartpunt area and coeval exposures along the Orange River border with South Africa.</div><div id=\"sp0115\" class=\"u-margin-s-bottom\">Given that these issues are in an area that hosts numerous silicified ash beds and extensive exposure, an inability to confidently discount either scenario highlights a level of compounding uncertainty in zircon U-Pb geochronology that must be considered when attempting to build global chronostratigraphic frameworks. Scenario 1 implies that some of the weighted mean ages and Bayesian eruption ages from the Swartpunt area may be &gt;1 Myr older than the depositional age of their respective ash beds when assuming existing stratigraphic correlations. If this scenario is preferred, then a cautious approach would be to consider all weighted mean zircon U-Pb ages from ash beds to reflect maximum depositional ages. Both scenarios support deposition of the Huns Member &gt;540&nbsp;Ma in the Swartpunt area if the oldest weighted mean age reported here represents a near-depositional age, which has significant implications for the temporal calibration of important terminal Ediacaran ichnofossil assemblages and future cyclostratigraphic studies.</div><div id=\"sp0120\" class=\"u-margin-s-bottom\">Stratigraphic correlations common to both scenarios allow us to temporally calibrate a basin evolution model for the Nama Group. Temporal trends in initial hafnium isotope (εHf) compositions of zircon grains from ash beds throughout the succession may support progressive crustal thickening associated with underplating of the Damara orogenic belt along the northern periphery of the Kalahari craton from ca. 547&nbsp;Ma to ca. 538&nbsp;Ma. The compilation of new and published zircon U-Pb ages may also imply that the locus of carbonate platform development migrated from north to south (present co-ordinates), tracking the migration of foredeep subsidence.</div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.earscirev.2025.105169","usgsCitation":"Bowyer, F., Messori, F., Wood, R., Linnemann, U., Rojo-Perez, E., Zieger-Hofmann, M., Zieger, J., Ndeunyema, J., Shipanga, M., Mataboge, B., Condon, D., Rose, C., Uahengo, C., Gaynor, S.P., Müller, I., Geyer, G., Vennemann, T.W., Davies, J., and Ovtcharova, M., 2025, Foundational uncertainties in terminal Ediacaran chronostratigraphy revealed by high-precision zircon U-Pb geochronology of the Nama Group, Namibia: Earth-Science Reviews, v. 268, 105169, 32 p., https://doi.org/10.1016/j.earscirev.2025.105169.","productDescription":"105169, 32 p.","ipdsId":"IP-167501","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":490163,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.earscirev.2025.105169","text":"Publisher Index Page"},{"id":489375,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Namibia, South Africa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              16,\n              -23.75\n            ],\n            [\n              16,\n              -29\n            ],\n            [\n              18,\n              -29\n            ],\n            [\n              18,\n              -23.75\n            ],\n            [\n              16,\n              -23.75\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  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University","active":true,"usgs":false}],"preferred":false,"id":938839,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Linnemann, Ulf","contributorId":356183,"corporation":false,"usgs":false,"family":"Linnemann","given":"Ulf","affiliations":[{"id":84932,"text":"Senckenberg Museum of Mineralogy and Geology","active":true,"usgs":false}],"preferred":false,"id":938840,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rojo-Perez, Esther","contributorId":356184,"corporation":false,"usgs":false,"family":"Rojo-Perez","given":"Esther","affiliations":[{"id":84932,"text":"Senckenberg Museum of Mineralogy and Geology","active":true,"usgs":false}],"preferred":false,"id":938841,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zieger-Hofmann, Mandy","contributorId":356185,"corporation":false,"usgs":false,"family":"Zieger-Hofmann","given":"Mandy","affiliations":[{"id":84932,"text":"Senckenberg Museum of Mineralogy and Geology","active":true,"usgs":false}],"preferred":false,"id":938842,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zieger, Johannes","contributorId":356186,"corporation":false,"usgs":false,"family":"Zieger","given":"Johannes","affiliations":[{"id":84932,"text":"Senckenberg Museum of Mineralogy and Geology","active":true,"usgs":false}],"preferred":false,"id":938843,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ndeunyema, Junias","contributorId":356187,"corporation":false,"usgs":false,"family":"Ndeunyema","given":"Junias","affiliations":[{"id":39588,"text":"University of Namibia","active":true,"usgs":false}],"preferred":false,"id":938844,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Shipanga, Martin","contributorId":356188,"corporation":false,"usgs":false,"family":"Shipanga","given":"Martin","affiliations":[{"id":39588,"text":"University of Namibia","active":true,"usgs":false}],"preferred":false,"id":938845,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mataboge, Bontle","contributorId":356189,"corporation":false,"usgs":false,"family":"Mataboge","given":"Bontle","affiliations":[{"id":12665,"text":"University of Cape Town","active":true,"usgs":false}],"preferred":false,"id":938846,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Condon, Dan","contributorId":169651,"corporation":false,"usgs":false,"family":"Condon","given":"Dan","email":"","affiliations":[{"id":25567,"text":"British Geological Survey","active":true,"usgs":false}],"preferred":false,"id":938847,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Rose, Catherine V.","contributorId":356190,"corporation":false,"usgs":false,"family":"Rose","given":"Catherine V.","affiliations":[{"id":12470,"text":"University of St. Andrews","active":true,"usgs":false}],"preferred":false,"id":938848,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Uahengo, Collen-Issia","contributorId":356191,"corporation":false,"usgs":false,"family":"Uahengo","given":"Collen-Issia","affiliations":[{"id":39588,"text":"University of Namibia","active":true,"usgs":false}],"preferred":false,"id":938849,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Gaynor, Sean Patrick 0000-0002-8353-511X","orcid":"https://orcid.org/0000-0002-8353-511X","contributorId":346264,"corporation":false,"usgs":true,"family":"Gaynor","given":"Sean","email":"","middleInitial":"Patrick","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":938850,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Müller, Inigo A.","contributorId":356192,"corporation":false,"usgs":false,"family":"Müller","given":"Inigo A.","affiliations":[{"id":25472,"text":"University of Geneva","active":true,"usgs":false}],"preferred":false,"id":938851,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Geyer, Gerd","contributorId":356193,"corporation":false,"usgs":false,"family":"Geyer","given":"Gerd","affiliations":[{"id":84933,"text":"University of Wuerzburg","active":true,"usgs":false}],"preferred":false,"id":938852,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Vennemann, Torsten W.","contributorId":190168,"corporation":false,"usgs":false,"family":"Vennemann","given":"Torsten","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":938853,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Davies, Joshua H.F.L.","contributorId":356194,"corporation":false,"usgs":false,"family":"Davies","given":"Joshua H.F.L.","affiliations":[{"id":24488,"text":"Universite du Quebec a Montreal","active":true,"usgs":false}],"preferred":false,"id":938854,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Ovtcharova, Maria","contributorId":356195,"corporation":false,"usgs":false,"family":"Ovtcharova","given":"Maria","affiliations":[{"id":25472,"text":"University of Geneva","active":true,"usgs":false}],"preferred":false,"id":938855,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}}
,{"id":70266859,"text":"fs20253026 - 2025 - Critical minerals in mine waste","interactions":[],"lastModifiedDate":"2026-01-26T18:04:29.140846","indexId":"fs20253026","displayToPublicDate":"2025-05-30T08:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-3026","displayTitle":"Critical Minerals in Mine Waste","title":"Critical minerals in mine waste","docAbstract":"<h1>Introduction&nbsp;</h1><p>Critical minerals are commodities with vulnerable supply chains that play a vital role in supporting the United States’ economy, national defense and security, emerging technologies, and energy independence. The prosperity of our Nation depends on generating a resilient supply of domestic critical minerals; mine waste may be an untapped source of these commodities. Mine waste from centuries of legacy mining persist on the landscape and may contain critical minerals and other valuable commodities previously deemed uneconomic to recover. At modern mines, the financial viability of recovering byproduct critical minerals, which are not the primary target, may be marginal and can ultimately destine them to mine waste. Further, mine waste can be a liability for the mining company or, at legacy mines, the taxpayer because of its effect on the landscape. The U.S. Geological Survey (USGS) has several initiatives to evaluate critical mineral resources in various types of waste. This factsheet highlights studies of mine waste carried out by USGS scientists at the Geology, Energy &amp; Minerals Science Center in collaboration with other science centers funded through the USGS Mineral Resources Program. Recovery of critical minerals from mine waste can aid in remediation efforts and increase domestic supply of vital mineral resources.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20253026","usgsCitation":"Piatak, N., White, S.J., Hayes, S., and Seal, R.R., II, 2025, Critical minerals in mine waste: U.S. Geological Survey Fact Sheet 2025–3026, 2 p., https://doi.org/10.3133/fs20253026.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-177321","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":485789,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2025/3026/coverthb2.jpg"},{"id":485793,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2025/3026/images/"},{"id":485790,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2025/3026/fs20253026.pdf","text":"Report","size":"3.59 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2025-3026 PDF"},{"id":485791,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20253026/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2025-3026 HTML"},{"id":485792,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2025/3026/fs20253026.XML","linkFileType":{"id":8,"text":"xml"},"description":"FS 2025-3026 XML"},{"id":499024,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118591.htm","linkFileType":{"id":5,"text":"html"}}],"contact":"<p><a href=\"https://www.usgs.gov/centers/geology-energy-and-minerals-science-center\" data-mce-href=\"https://www.usgs.gov/centers/geology-energy-and-minerals-science-center\">Geology, Energy &amp; Minerals Science Center</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p><p><a href=\"../contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Introduction</li><li>Legacy mine sites</li><li>Optimizing recovery at modern mines</li><li>Mineralogical and geochemical characterization</li><li>Mapping critical minerals at the national scale</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2025-05-30","noUsgsAuthors":false,"publicationDate":"2025-05-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Piatak, Nadine M. 0000-0002-1973-8537 npiatak@usgs.gov","orcid":"https://orcid.org/0000-0002-1973-8537","contributorId":193010,"corporation":false,"usgs":true,"family":"Piatak","given":"Nadine","email":"npiatak@usgs.gov","middleInitial":"M.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":936957,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, Sarah Jane 0000-0002-4055-8207","orcid":"https://orcid.org/0000-0002-4055-8207","contributorId":216796,"corporation":false,"usgs":true,"family":"White","given":"Sarah","email":"","middleInitial":"Jane","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":936958,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hayes, Sarah M. 0000-0001-5887-6492","orcid":"https://orcid.org/0000-0001-5887-6492","contributorId":208569,"corporation":false,"usgs":true,"family":"Hayes","given":"Sarah","email":"","middleInitial":"M.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":936959,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Seal,, Robert R. II 0000-0003-0901-2529 rseal@usgs.gov","orcid":"https://orcid.org/0000-0003-0901-2529","contributorId":141204,"corporation":false,"usgs":true,"family":"Seal,","given":"Robert R.","suffix":"II","email":"rseal@usgs.gov","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":936960,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70267389,"text":"sir20255008 - 2025 - Hydrogeologic mapping and three-dimensional geologic modeling of glacial deposits in a multicounty area of southeastern Michigan, northeastern Indiana, and northwestern Ohio","interactions":[],"lastModifiedDate":"2026-01-26T19:16:35.076992","indexId":"sir20255008","displayToPublicDate":"2025-05-29T09:30:00","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":"2025-5008","displayTitle":"Hydrogeologic Mapping and Three-Dimensional Geologic Modeling of Glacial Deposits in a Multicounty Area of Southeastern Michigan, Northeastern Indiana, and Northwestern Ohio","title":"Hydrogeologic mapping and three-dimensional geologic modeling of glacial deposits in a multicounty area of southeastern Michigan, northeastern Indiana, and northwestern Ohio","docAbstract":"<p>The glacial deposits underlying southeastern Michigan, northeastern Indiana, and northwestern Ohio are a substantial source of water to communities, agriculture, and industry in the region. Previous efforts to characterize aquifer materials in the area cited a need for additional information about the underlying hydrogeologic characteristics and related groundwater availability as well as improved mapping of the extent and properties of the glacial deposits.</p><p>Recent U.S. Geological Survey multi-State compilations of water-well drilling records have greatly increased access to high-resolution geologic data, particularly in glacial depositional environments. This study by the U.S. Geological Survey, in cooperation with the Ohio Environmental Protection Agency, uses processed data from the State-managed collections of well records to characterize the glacial deposits in the study area using two methods. The first method creates two-dimensional maps of basic hydrogeologic information commonly required for assessments of groundwater availability, including (1) total thickness of glacial deposits, (2) total thickness of coarse-grained deposits, (3) specific-capacity-based transmissivity and hydraulic conductivity, and (4) texture-based estimated equivalent horizontal and vertical hydraulic conductivity and transmissivity. The second method builds a hydrogeologic framework of the complex glacial aquifer through construction of a volumetric geologic model by using three-dimensional kriging.</p><p>Results of the volumetric model indicate that aquifer materials are primarily concentrated in the western parts of the study area near the Indiana-Ohio border. Coarse-grained sediments are also present as surficial deposits in the north of the study area where intermixing glacial advances created complex distributions of unconsolidated deposits. Two-dimensional maps of hydrogeologic properties support the volumetric model, showing thicknesses of coarse-grained deposits that reach up to 250 feet in the western sections of the study area and progressively thin to near absence in the east. Visualization of the aquifer materials with a volumetric model generally shows a highly discontinuous distribution of coarse- and fine-grained materials, with no clearly defined boundaries to delineate the extent of the aquifer. Comparisons of cross sections derived from the volumetric model with existing published maps support previous near-surface hydrogeologic interpretations while filling gaps where data are sparse, particularly in deeper parts of the aquifer. Both the two-dimensional maps and the volumetric model provide data that can directly inform assessments of groundwater availability, in addition to having future applications to studies of groundwater flow and transport.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255008","collaboration":"Prepared in cooperation with the Ohio Environmental Protection Agency","usgsCitation":"Riddle, A.D., Arihood, L.D., Naylor, S., and Lampe, D.C., 2025, Hydrogeologic mapping and three-dimensional geologic modeling of glacial deposits in a multicounty area of southeastern Michigan, northeastern Indiana, and northwestern Ohio: U.S. Geological Survey Scientific Investigations Report 2025–5008, 47 p., https://doi.org/10.3133/sir20255008.","productDescription":"Report: viii, 47 p.; Data Release","numberOfPages":"47","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-146138","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":486276,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5008/images/"},{"id":486275,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5008/sir20255008.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2025-5008 XML"},{"id":486274,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255008/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5008 HTML"},{"id":486273,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5008/sir20255008.pdf","text":"Report","size":"13.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5008 PDF"},{"id":486272,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5008/coverthb.jpg"},{"id":499040,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118589.htm","linkFileType":{"id":5,"text":"html"}},{"id":486277,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13BO3GJ","text":"USGS data release","linkHelpText":"Hydrogeologic framework of the glacial deposits in a multicounty area of southeastern Michigan, northeastern Indiana, and northwestern Ohio"}],"country":"United States","state":"Indiana, Michigan, Ohio","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -85.45494559947987,\n              42.39763689085959\n            ],\n            [\n              -85.45494559947987,\n              40.651853498464675\n            ],\n            [\n              -83.24314510969089,\n              40.651853498464675\n            ],\n            [\n              -83.24314510969089,\n              42.39763689085959\n            ],\n            [\n              -85.45494559947987,\n              42.39763689085959\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:GS-W-OKI_Director@usgs.gov\" data-mce-href=\"mailto:GS-W-OKI_Director@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/oki-water\" data-mce-href=\"https://www.usgs.gov/centers/oki-water\">Ohio-Kentucky-Indiana Water Science Center</a><br>U.S. Geological Survey<br>6460 Busch Blvd, Suite 100<br>Columbus, OH 43229</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Hydrogeologic Setting</li><li>Data Compilation and Preparation for the Hydrogeologic Framework</li><li>Development of Mapping Products</li><li>Estimated Distributions of Hydrogeologic Properties and Hydrogeologic Framework Model</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2025-05-29","noUsgsAuthors":false,"publicationDate":"2025-05-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Riddle, Alexander D. 0000-0002-0617-0022","orcid":"https://orcid.org/0000-0002-0617-0022","contributorId":207879,"corporation":false,"usgs":true,"family":"Riddle","given":"Alexander","email":"","middleInitial":"D.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":938066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arihood, Leslie D. 0000-0001-5792-3699","orcid":"https://orcid.org/0000-0001-5792-3699","contributorId":355725,"corporation":false,"usgs":false,"family":"Arihood","given":"Leslie D.","affiliations":[{"id":84825,"text":"USGS Emeritus - retired","active":true,"usgs":false}],"preferred":false,"id":938067,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Naylor, Shawn 0000-0003-0710-1560","orcid":"https://orcid.org/0000-0003-0710-1560","contributorId":333771,"corporation":false,"usgs":true,"family":"Naylor","given":"Shawn","email":"","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":938068,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lampe, David C. 0000-0002-8904-0337 dclampe@usgs.gov","orcid":"https://orcid.org/0000-0002-8904-0337","contributorId":2441,"corporation":false,"usgs":true,"family":"Lampe","given":"David","email":"dclampe@usgs.gov","middleInitial":"C.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":938069,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70267877,"text":"70267877 - 2025 - Pysochron: A Python-based solution for calculating cosmogenic 26Al/10Be isochron burial ages","interactions":[],"lastModifiedDate":"2025-06-06T15:10:15.450044","indexId":"70267877","displayToPublicDate":"2025-05-29T08:06:09","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3216,"text":"Quaternary Geochronology","active":true,"publicationSubtype":{"id":10}},"title":"Pysochron: A Python-based solution for calculating cosmogenic 26Al/10Be isochron burial ages","docAbstract":"<p><span>Cosmogenic&nbsp;</span><sup>26</sup><span>Al/</span><sup>10</sup><span>Be isochron burial dating is a powerful tool for dating sediment burial over the past several million years. By measuring in-situ&nbsp;</span><sup>26</sup><span>Al and&nbsp;</span><sup>10</sup><span>Be in a suite of samples from the same depth in a buried deposit, it is possible to quantify the inventory of cosmogenic nuclides produced after burial, date the burial of shallow sediments, identify sediment reworking, and calculate paleo-erosion rates. While this approach has been used to date materials around the world for over a decade, few published codes exist for performing&nbsp;</span><sup>26</sup><span>Al/</span><sup>10</sup><span>Be isochron calculations. The isochron calculation options that are available typically rely on numerous files and libraries, rendering modification and troubleshooting difficult. Moreover, the widespread use of proprietary programming languages – and their associated addon packages – can place an additional financial burden on an already costly endeavor.</span></p><p><span>Pysochron (<a class=\"anchor anchor-primary\" rel=\"noopener\" href=\"https://code.usgs.gov/recon/pysochron\" target=\"_blank\" data-mce-href=\"https://code.usgs.gov/recon/pysochron\"><span class=\"anchor-text-container\"><span class=\"anchor-text\">https://code.usgs.gov/recon/pysochron</span></span></a>) provides a solution to these issues. In its base form, it exists as a single script that can be easily modified, upgraded, and shared. Because it was developed in an open-source environment, all required computational packages are available free of charge. A user-friendly interface allows rapid modification of calculation parameters, and an automated commentary on isochron results provides insights and recommendations. Pysochron has been validated with 40 published cosmogenic&nbsp;<sup>26</sup>Al/<sup>10</sup>Be burial isochrons around the world, with burial ages ranging from ∼5&nbsp;Ma to ∼180 ka. As such, it is a promising option for members of the cosmogenic nuclide community seeking a straightforward, cost-effective, and flexible solution to isochron burial dating challenges.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.quageo.2025.101675","usgsCitation":"Odom, W.E., 2025, Pysochron: A Python-based solution for calculating cosmogenic 26Al/10Be isochron burial ages: Quaternary Geochronology, v. 89, 101675, 13 p., https://doi.org/10.1016/j.quageo.2025.101675.","productDescription":"101675, 13 p.","ipdsId":"IP-169287","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":490662,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.quageo.2025.101675","text":"Publisher Index Page"},{"id":490400,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13PCYZA","text":"USGS data release","linkHelpText":"Pysochron"},{"id":490201,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"89","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Odom, William E. 0000-0001-8577-5056","orcid":"https://orcid.org/0000-0001-8577-5056","contributorId":292616,"corporation":false,"usgs":true,"family":"Odom","given":"William","middleInitial":"E.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":939256,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70269899,"text":"70269899 - 2025 - Simulation of the impacts of projected climate change on groundwater resources in the urban, semiarid Yucaipa Valley watershed, southern California using an integrated hydrologic model","interactions":[],"lastModifiedDate":"2025-08-06T15:12:41.202838","indexId":"70269899","displayToPublicDate":"2025-05-29T08:03:40","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":22158,"text":"Journal of Hydrology, Regional Studies","active":true,"publicationSubtype":{"id":10}},"title":"Simulation of the impacts of projected climate change on groundwater resources in the urban, semiarid Yucaipa Valley watershed, southern California using an integrated hydrologic model","docAbstract":"<p><span>Managing water resources in semiarid watersheds is challenging due to limited supply and uncertain future climate conditions. This paper examines the impact of future climate changes on an urban watershed in southern California using an integrated hydrologic model. GSFLOW modeling software is used to simulate the nonlinear relationships between climate trends and precipitation partitioning into ET, runoff, and subsurface storage. Four global circulation models (GCMs), each with two greenhouse-gas scenarios, RCP45 and RCP85 are used to project future climate conditions. GCMs include the CanESM2, CNRM-CM5, HadGEM2-ES, and MIROC5 models. The model's simulated hydrologic conditions are compared with historical data to assess changes in water budgets and groundwater supply. Results indicate decreased groundwater storage in most scenarios due to increased natural evapotranspiration, vegetation consumptive use, and streamflow out of the watershed. Only scenarios with substantially increased future precipitation show increased groundwater storage. The study also highlights increased future aridity despite the rise in precipitation and large precipitation events forecast by GCMs, which increase the risk of urban floods and decrease stream leakage and water available to vegetation.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ejrh.2025.102461","usgsCitation":"Ryter, D.W., Alzraiee, A.H., and Niswonger, R., 2025, Simulation of the impacts of projected climate change on groundwater resources in the urban, semiarid Yucaipa Valley watershed, southern California using an integrated hydrologic model: Journal of Hydrology, Regional Studies, v. 60, 102461, 16 p., https://doi.org/10.1016/j.ejrh.2025.102461.","productDescription":"102461, 16 p.","ipdsId":"IP-153865","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":493789,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ejrh.2025.102461","text":"Publisher Index Page"},{"id":493644,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Yucaipa Valley watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -117.09271702186436,\n              34.0874203948469\n            ],\n            [\n              -117.09271702186436,\n              33.9725594754417\n            ],\n            [\n              -116.9002906646693,\n              33.9725594754417\n            ],\n            [\n              -116.9002906646693,\n              34.0874203948469\n            ],\n            [\n              -117.09271702186436,\n              34.0874203948469\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"60","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ryter, Derek W. 0000-0002-2488-626X dryter@usgs.gov","orcid":"https://orcid.org/0000-0002-2488-626X","contributorId":3395,"corporation":false,"usgs":true,"family":"Ryter","given":"Derek","email":"dryter@usgs.gov","middleInitial":"W.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":944909,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alzraiee, Ayman H. 0000-0001-7576-3449","orcid":"https://orcid.org/0000-0001-7576-3449","contributorId":272120,"corporation":false,"usgs":true,"family":"Alzraiee","given":"Ayman","email":"","middleInitial":"H.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":944910,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Niswonger, Richard G. rniswon@usgs.gov","contributorId":146547,"corporation":false,"usgs":false,"family":"Niswonger","given":"Richard G.","email":"rniswon@usgs.gov","affiliations":[],"preferred":false,"id":944911,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70271939,"text":"70271939 - 2025 - Carbonatite-hosted residual REE deposits","interactions":[],"lastModifiedDate":"2025-09-25T13:56:19.739833","indexId":"70271939","displayToPublicDate":"2025-05-28T08:52:38","publicationYear":"2025","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Carbonatite-hosted residual REE deposits","docAbstract":"Rare earth elements (REEs) occur in magmatic rocks but are especially enriched in carbonatite and alkaline silicates. If these rocks are chemically weathered, then the REEs may become further enriched within the regolith developed from these rocks. Primary magmatic REE minerals, as well as the various carbonate minerals and apatite, provide the REEs which, under pervasive chemical weathering, are incorporated within low-temperature REE minerals forming within the regolith. Many of these minerals, as well as their textures, are characteristic of this mode of formation. Lateritic conditions of weathering are instrumental in producing a thick, weathered, or regolith, profile, and the roles of sulfide oxidation, fluctuating groundwater tables, and downward mass wasting due to carbonate dissolution are identified as the most important controls on REE enrichment in the regolith.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Geology, geochemistry and formation of supergene mineral deposits in deeply weathered terrain","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-031-75733-4_7","usgsCitation":"Siegfried, P.R., Wall, F., and Verplanck, P., 2025, Carbonatite-hosted residual REE deposits, chap. <i>of</i> Geology, geochemistry and formation of supergene mineral deposits in deeply weathered terrain, p. 179-206, https://doi.org/10.1007/978-3-031-75733-4_7.","productDescription":"18 p.","startPage":"179","endPage":"206","ipdsId":"IP-139371","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":502409,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External Repository"},{"id":496076,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2025-05-28","publicationStatus":"PW","contributors":{"editors":[{"text":"Bowell, Robert J.","contributorId":150175,"corporation":false,"usgs":false,"family":"Bowell","given":"Robert","email":"","middleInitial":"J.","affiliations":[{"id":17927,"text":"SRK Consulting Ltd.","active":true,"usgs":false}],"preferred":false,"id":949475,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Butt, Charles R.M.","contributorId":361797,"corporation":false,"usgs":false,"family":"Butt","given":"Charles","middleInitial":"R.M.","affiliations":[],"preferred":false,"id":949476,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Siegfried, Peter R 0000-0001-8254-9889","orcid":"https://orcid.org/0000-0001-8254-9889","contributorId":361785,"corporation":false,"usgs":false,"family":"Siegfried","given":"Peter","middleInitial":"R","affiliations":[{"id":86350,"text":"Camborne School of Mines","active":true,"usgs":false}],"preferred":false,"id":949449,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wall, Frances 0000-0002-5393-4400","orcid":"https://orcid.org/0000-0002-5393-4400","contributorId":361786,"corporation":false,"usgs":false,"family":"Wall","given":"Frances","affiliations":[{"id":86350,"text":"Camborne School of Mines","active":true,"usgs":false}],"preferred":false,"id":949450,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Verplanck, Philip L. 0000-0002-3653-6419","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":212813,"corporation":false,"usgs":true,"family":"Verplanck","given":"Philip","middleInitial":"L.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":949451,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70267399,"text":"fs20253030 - 2025 - The 3D Elevation Program—Supporting Connecticut's economy","interactions":[],"lastModifiedDate":"2025-05-28T13:41:26.483587","indexId":"fs20253030","displayToPublicDate":"2025-05-27T12:20:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-3030","displayTitle":"The 3D Elevation Program—Supporting Connecticut’s Economy","title":"The 3D Elevation Program—Supporting Connecticut's economy","docAbstract":"<h1>Introduction&nbsp;</h1><p>Connecticut has a diverse, largely forested landscape characterized by hills and low mountains in the Western Upland, hills in the Eastern Upland, ridges and broad valleys in the Central Lowland, and many beaches and harbors along the coast of Long Island Sound. Connecticut is manufacturing and service focused, ranking almost highest among the 50 States in the United States in personal income per capita. Due to Connecticut’s dense population, many people, especially the approximately 60 percent living near the coast, may be affected by climate-driven disasters. High-quality elevation data can inform the activities of many nongovernmental organizations and municipal and academic entities statewide, resulting in substantial economic impact. Government at the State and local levels relies on these data to support regulatory permitting, resource and infrastructure management, and various engineering and planning-level analyses. Critical applications that meet the State’s management needs depend on light detection and ranging (lidar) data that provide a highly detailed three-dimensional (3D) model of the Earth’s surface and aboveground features.</p><p>The 3D Elevation Program (3DEP) is managed by the U.S. Geological Survey in partnership with Federal, State, Tribal, U.S. territorial, and local agencies to acquire consistent lidar coverage at quality level 2 or better to meet the many needs of the Nation and Connecticut. The status of available and in-progress 3DEP baseline lidar data in Connecticut is shown. 3DEP baseline lidar data include quality level 2 or better, 1-meter or better digital elevation models, and lidar point clouds, and must meet the Lidar Base Specification version 1.2 or newer requirements. The National Enhanced Elevation Assessment identified user requirements and conservatively estimated that availability of lidar data would result in at least $4.40 million in new benefits annually to the State. The top 10 Connecticut business uses for 3D elevation data, which are based on the estimated annual conservative benefits of 3DEP, are shown.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20253030","usgsCitation":"Harrington, L.E., and Walters, D.H., 2025, The 3D Elevation Program—Supporting Connecticut's economy: U.S. Geological Survey Fact Sheet 2025–3030, 2 p., https://doi.org/10.3133/fs20253030.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-168624","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":486450,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2025/3030/images/"},{"id":486449,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2025/3030/fs20253030.XML","linkFileType":{"id":8,"text":"xml"},"description":"FS 2025-3030 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 \"}}]}","contact":"<p>Director, <a href=\"https://www.usgs.gov/programs/national-geospatial-program\" data-mce-href=\"https://www.usgs.gov/programs/national-geospatial-program\">National Geospatial Program</a><br>U.S. Geological Survey, MS 511<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p><p>Email: <a href=\"mailto:3DEP@usgs.gov\" data-mce-href=\"mailto:3DEP@usgs.gov\">3DEP@usgs.gov</a></p>","tableOfContents":"<ul><li>Introduction</li><li>Status of 3DEP in Connecticut</li><li>Coastal Zone Management</li><li>Flood Risk Management</li><li>Natural Resources Conservation</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2025-05-27","noUsgsAuthors":false,"publicationDate":"2025-05-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Harrington, Laura 0009-0006-4536-0992","orcid":"https://orcid.org/0009-0006-4536-0992","contributorId":355733,"corporation":false,"usgs":true,"family":"Harrington","given":"Laura","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":938095,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walters, Dan","contributorId":291381,"corporation":false,"usgs":true,"family":"Walters","given":"Dan","email":"","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":938096,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70270588,"text":"70270588 - 2025 - Denning black bear response to anthropogenic disturbance and implications for cub survival in Florida","interactions":[],"lastModifiedDate":"2025-08-21T15:49:49.525218","indexId":"70270588","displayToPublicDate":"2025-05-27T10:42:30","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3671,"text":"Ursus","active":true,"publicationSubtype":{"id":10}},"title":"Denning black bear response to anthropogenic disturbance and implications for cub survival in Florida","docAbstract":"<p><span>Wildlife research and management can be disruptive to wildlife. By advancing our understanding of the impacts of these activities, we can reduce adverse effects, improve decision-making, and enhance the outcomes of research and management. During 2017–2019, we observed the responses of denning female American black bears (</span><i>Ursus americanus</i><span>) to 3 types of routine research and management activities in Florida, USA: (1) a low-level, nonintrusive human approach near the natal den (</span><i>n</i><span>&nbsp;H 44); (2) a high-level, intrusive human approach involving cub handling (</span><i>n</i><span>&nbsp;H 42); and (3) a prescribed burn within 1 km of the den during the denning season (</span><i>n</i><span>&nbsp;H 11). We measured responses (flight distance, time away, and postdisturbance denning behavior) using Global Positioning System collars programmed to record a location every 2 hours. We observed minimal response from bears to low-level human disturbances. In contrast, all bears fled after high-level human disturbances, with responses ranging from staying nearby throughout the disturbance and quickly returning to cubs, to fleeing several kilometers and abandoning cubs. On average, bears fled approximately 380 m from the den and returned to their cubs 7 hours postdisturbance. After returning, most bears relocated their cubs to a new den site, on average 125 m away. Responses to prescribed fire ranged from no measurable response and no den relocation to den site abandonment with cub mortality. Through generalized linear modeling, we found that adult female time away was positively associated with cub age. We found that annual cub survival was negatively associated with fire exposure in the den and with continued denning at a disturbed den site following high-level disturbance. In areas where bears are easily displaced from dens, these results provide insights that may improve bear research and habitat management decisions.</span></p>","language":"English","publisher":"International Association for Bear Research and Management","doi":"10.2192/ursus-d-24-00011r1","usgsCitation":"Doran-Myers, D., Gregory, K., McGowan, C.P., Hull, V., and Scheick, B.K., 2025, Denning black bear response to anthropogenic disturbance and implications for cub survival in Florida: Ursus, v. 2525, no. 36e7, p. 1-20, https://doi.org/10.2192/ursus-d-24-00011r1.","productDescription":"20 p.","startPage":"1","endPage":"20","ipdsId":"IP-162854","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":494465,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2192/ursus-d-24-00011r1","text":"Publisher Index Page"},{"id":494389,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -85.70700771970081,\n              30.533149376429677\n            ],\n            [\n              -85.70700771970081,\n              29.526013452470593\n            ],\n            [\n              -84.16956484525814,\n              29.526013452470593\n            ],\n            [\n              -84.16956484525814,\n              30.533149376429677\n            ],\n            [\n              -85.70700771970081,\n              30.533149376429677\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"2525","issue":"36e7","noUsgsAuthors":false,"publicationDate":"2025-05-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Doran-Myers, Darcy","contributorId":359973,"corporation":false,"usgs":false,"family":"Doran-Myers","given":"Darcy","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":946611,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gregory, Kaili","contributorId":359974,"corporation":false,"usgs":false,"family":"Gregory","given":"Kaili","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":946612,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGowan, Conor P. 0000-0002-7330-9581 cmcgowan@usgs.gov","orcid":"https://orcid.org/0000-0002-7330-9581","contributorId":10145,"corporation":false,"usgs":true,"family":"McGowan","given":"Conor","email":"cmcgowan@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":false,"id":946613,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hull, Vanessa","contributorId":340791,"corporation":false,"usgs":false,"family":"Hull","given":"Vanessa","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":946614,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Scheick, Brian K.","contributorId":359976,"corporation":false,"usgs":false,"family":"Scheick","given":"Brian","middleInitial":"K.","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":946615,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70268074,"text":"70268074 - 2025 - Combining acoustic telemetry and side-scan sonar to estimate abundance of endangered shortnose sturgeon in the Hudson River, New York","interactions":[],"lastModifiedDate":"2025-07-10T14:53:41.778146","indexId":"70268074","displayToPublicDate":"2025-05-26T09:53:02","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Combining acoustic telemetry and side-scan sonar to estimate abundance of endangered shortnose sturgeon in the Hudson River, New York","docAbstract":"<p><span>For endangered shortnose sturgeon (Acipenser brevirostrum), the ability to estimate and monitor population size is critical for tracking species’ recovery. Yet, contemporary abundance estimates have not been completed for many shortnose sturgeon populations, largely owing to the difficulty in using traditional abundance estimators for sturgeons. Here, we estimate the adult shortnose sturgeon population size of the Hudson River, NY by integrating data from two largely passive sampling methods – acoustic telemetry and side-scan sonar – into a Bayesian hierarchical model of abundance. We estimated the adult abundance to be 69,798 individuals (95% CI = 9,207-185,666), making the Hudson River the largest extant shortnose sturgeon population. Despite this, the population remains vulnerable to localized disturbances, as over 40% of the population congregated in a small overwintering habitat that coincides with an area of high anthropogenic activity. Accordingly, recurrent demographic surveys may be beneficial for gaining insight into the relative effects of anthropogenic and naturally stochastic processes shaping shortnose sturgeon demography. Our modeling framework provides a relatively low-cost alternative for future demographic monitoring of species of conservation concern.</span></p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2024-0395","usgsCitation":"Higgs, A., White, S.L., Madsen, J., Kazyak, D.C., Fox, D., Pendleton, R., Bonemery, A., Smolinski, T., Simmonds, A., and Sullivan, P., 2025, Combining acoustic telemetry and side-scan sonar to estimate abundance of endangered shortnose sturgeon in the Hudson River, New York: Canadian Journal of Fisheries and Aquatic Sciences, v. 82, p. 1-12, https://doi.org/10.1139/cjfas-2024-0395.","productDescription":"12 p.","startPage":"1","endPage":"12","ipdsId":"IP-173509","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":493294,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/cjfas-2024-0395","text":"Publisher Index Page"},{"id":490514,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":490933,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13DHPMI","text":"USGS data release","linkHelpText":"Shortnose Sturgeon Abundance Model"}],"country":"United States","state":"New York","otherGeospatial":"Hudson River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -73.16518084744041,\n              44.213068299609006\n            ],\n            [\n              -73.8033572199802,\n              44.20312158009787\n            ],\n            [\n              -74.23343260147449,\n              40.724843913894034\n            ],\n            [\n              -73.75480032206964,\n              40.74061550176276\n            ],\n           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Center","active":true,"usgs":true}],"preferred":true,"id":940122,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Madsen, John","contributorId":340956,"corporation":false,"usgs":false,"family":"Madsen","given":"John","affiliations":[{"id":36379,"text":"Delaware Division of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":940123,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kazyak, David C. 0000-0001-9860-4045","orcid":"https://orcid.org/0000-0001-9860-4045","contributorId":140409,"corporation":false,"usgs":true,"family":"Kazyak","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":940124,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fox, Dewayne","contributorId":340954,"corporation":false,"usgs":false,"family":"Fox","given":"Dewayne","affiliations":[{"id":37219,"text":"Delaware State University","active":true,"usgs":false}],"preferred":false,"id":940125,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pendleton, Richard","contributorId":348720,"corporation":false,"usgs":false,"family":"Pendleton","given":"Richard","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":940126,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bonemery, Adam","contributorId":351166,"corporation":false,"usgs":false,"family":"Bonemery","given":"Adam","affiliations":[{"id":83929,"text":"Cornell University/NY Dept. of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":940127,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Smolinski, Tomasz","contributorId":356810,"corporation":false,"usgs":false,"family":"Smolinski","given":"Tomasz","affiliations":[{"id":85239,"text":"Delware State University","active":true,"usgs":false}],"preferred":false,"id":940128,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Simmonds, Amanda","contributorId":351168,"corporation":false,"usgs":false,"family":"Simmonds","given":"Amanda","affiliations":[{"id":83929,"text":"Cornell University/NY Dept. of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":940129,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sullivan, Patrick","contributorId":348055,"corporation":false,"usgs":false,"family":"Sullivan","given":"Patrick","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":940130,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70268934,"text":"70268934 - 2025 - Factors associated with survival, recovery, and movements in the western Gulf Coast population of mottled ducks","interactions":[],"lastModifiedDate":"2025-07-11T15:01:30.51809","indexId":"70268934","displayToPublicDate":"2025-05-26T07:55:58","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Factors associated with survival, recovery, and movements in the western Gulf Coast population of mottled ducks","docAbstract":"<p><span>The mottled duck (</span><i>Anas fulvigula</i><span>) is nonmigratory and a priority species for regional conservation and management because of its limited range and declining population trajectory in the western Gulf Coast (WGC) of Louisiana and Texas, USA. We developed multistate dead-recovery models for banding and recovery data (1997–2020) to evaluate potential drivers of survival, recovery, and post-summer movements for the WGC population of mottled ducks in Louisiana and Texas. Annual survival was most strongly associated with sex and year, with females having lower survival (</span><span> ± </span><span> = 0.544 ± 0.114) than males (0.619 ± 0.062). Of the 32 environmental covariates tested, fall precipitation was the factor most strongly associated with survival. Conditional recovery probability (i.e., given mortality, the probability a bird had been shot by a hunter, retrieved, and had their band number reported) varied by sex, age, geographic state, and year, with juvenile males generally having highest conditional recovery (0.303 ± 0.072), followed by juvenile females (0.201 ± 0.100), adult males (0.156 ± 0.038), and adult females (0.095 ± 0.057). Estimates of harvest probabilities followed similar patterns as conditional recovery. Models containing effects of harvest regulations on conditional recovery were not competitive compared to models with general year effects; however,&nbsp;</span><i>post hoc</i><span>&nbsp;analyses suggested conditional recovery and harvest probabilities for adult and juvenile females decreased with the daily bag limit reduction in Louisiana and, for juvenile females, implementation of the 5-day closure regulation in Texas. Post-summer movement was substantially higher in the direction of Texas to Louisiana, decreased with distance to the Louisiana–Texas border, was higher for males than females, and varied with winter precipitation. These results contribute to a better understanding of the factors influencing demographic performance, harvest, and movement between states with differing harvest regulations and environmental pressures, which is important for mottled duck conservation planning. Wildlife managers can consider expanding banding effort throughout the full range of the WGC population and collecting and reporting live-recapture data to allow for stronger population-level inferences and increased power to detect differences in important demographic parameters at more refined spatial scales.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.70038","usgsCitation":"Malachowski, C., Kendall, W.L., Collins, D., Kraai, K.J., Olszak, J., and Reynolds, L., 2025, Factors associated with survival, recovery, and movements in the western Gulf Coast population of mottled ducks: Journal of Wildlife Management, v. 89, no. 6, e70038, 33 p., https://doi.org/10.1002/jwmg.70038.","productDescription":"e70038, 33 p.","ipdsId":"IP-168786","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":492473,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.70038","text":"Publisher Index Page"},{"id":492131,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana, Texas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -99.98534654094911,\n              34.74317254350352\n            ],\n            [\n              -99.98534654094911,\n              27.62034513580788\n            ],\n            [\n              -89.48377067387685,\n              27.62034513580788\n            ],\n            [\n              -89.48377067387685,\n              34.74317254350352\n            ],\n            [\n              -99.98534654094911,\n              34.74317254350352\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"89","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-05-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Malachowski, Christopher P.","contributorId":357821,"corporation":false,"usgs":false,"family":"Malachowski","given":"Christopher P.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":942661,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kendall, William L. 0000-0003-0084-9891","orcid":"https://orcid.org/0000-0003-0084-9891","contributorId":204844,"corporation":false,"usgs":true,"family":"Kendall","given":"William","email":"","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":942662,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collins, Daniel P.","contributorId":356157,"corporation":false,"usgs":false,"family":"Collins","given":"Daniel P.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":942663,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kraai, Kevin J.","contributorId":346855,"corporation":false,"usgs":false,"family":"Kraai","given":"Kevin","email":"","middleInitial":"J.","affiliations":[{"id":27442,"text":"Texas parks and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":942664,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Olszak, Jason","contributorId":357822,"corporation":false,"usgs":false,"family":"Olszak","given":"Jason","affiliations":[{"id":12717,"text":"Louisiana Department of Wildlife and Fisheries","active":true,"usgs":false}],"preferred":false,"id":942665,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reynolds, Larry","contributorId":357824,"corporation":false,"usgs":false,"family":"Reynolds","given":"Larry","affiliations":[{"id":12717,"text":"Louisiana Department of Wildlife and Fisheries","active":true,"usgs":false}],"preferred":false,"id":942666,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70274299,"text":"70274299 - 2025 - Harnessing geospatial artificial intelligence and deep learning for landslide inventory mapping: Advances, challenges, and emerging directions","interactions":[],"lastModifiedDate":"2026-03-25T14:54:23.10639","indexId":"70274299","displayToPublicDate":"2025-05-25T00:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Harnessing geospatial artificial intelligence and deep learning for landslide inventory mapping: Advances, challenges, and emerging directions","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Recent advancements in artificial intelligence (AI) and deep learning enable more accurate, scalable, and automated mapping. This paper provides a comprehensive review of the applications of AI, particularly deep learning, in landslide inventory mapping. In addition to examining commonly used data sources and model architectures, we explore innovative strategies such as feature enhancement and fusion, attention-boosted techniques, and advanced learning approaches, including active learning and transfer learning, to enhance model adaptability and predictability. We also highlight the remaining challenges and potential research directions, including the estimation of more diverse variables in landslide mapping, multimodal data alignment, modeling regional variability and replicability, as well as issues related to data misinterpretation and model explainability. This review aims to serve as a useful resource for researchers and practitioners, promoting the integration of deep learning into landslide research and disaster management.</span></span></p>","language":"English","publisher":"MDPI","doi":"10.3390/rs17111856","usgsCitation":"Chen, X., Li, W., Hsu, C., Arundel, S.T., and Bretwood Higman, 2025, Harnessing geospatial artificial intelligence and deep learning for landslide inventory mapping: Advances, challenges, and emerging directions: Remote Sensing, v. 17, no. 11, 1856, 39 p., https://doi.org/10.3390/rs17111856.","productDescription":"1856, 39 p.","ipdsId":"IP-177148","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":501598,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs17111856","text":"Publisher Index Page"},{"id":501497,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"11","noUsgsAuthors":false,"publicationDate":"2025-05-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Chen, Xiao 0009-0009-8338-2983","orcid":"https://orcid.org/0009-0009-8338-2983","contributorId":367832,"corporation":false,"usgs":false,"family":"Chen","given":"Xiao","affiliations":[],"preferred":false,"id":957786,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Li, Wenwen 0000-0003-2237-9499","orcid":"https://orcid.org/0000-0003-2237-9499","contributorId":219356,"corporation":false,"usgs":false,"family":"Li","given":"Wenwen","email":"","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":957787,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hsu, Chia-Yu","contributorId":367833,"corporation":false,"usgs":false,"family":"Hsu","given":"Chia-Yu","affiliations":[],"preferred":false,"id":957788,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arundel, Samantha T. 0000-0002-4863-0138 sarundel@usgs.gov","orcid":"https://orcid.org/0000-0002-4863-0138","contributorId":192598,"corporation":false,"usgs":true,"family":"Arundel","given":"Samantha","email":"sarundel@usgs.gov","middleInitial":"T.","affiliations":[{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true},{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":957789,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bretwood Higman","contributorId":367834,"corporation":false,"usgs":false,"family":"Bretwood Higman","affiliations":[],"preferred":false,"id":957790,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70268139,"text":"70268139 - 2025 - Reliability of satellite-based vegetation maps for planning wildfire-fuel treatments in shrub steppe: Inferences from two contrasting national parks","interactions":[],"lastModifiedDate":"2025-06-13T15:13:47.848984","indexId":"70268139","displayToPublicDate":"2025-05-24T07:58:43","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Reliability of satellite-based vegetation maps for planning wildfire-fuel treatments in shrub steppe: Inferences from two contrasting national parks","docAbstract":"Protecting habitat threatened by increasing wildfire size and frequency requires identifying the spatial intersection of wildfire behavior and ecological conditions that favor positive management outcomes. In the perennial sagebrush steppe of Western North America, invasions by fire-prone annual grasses are a key concern, and management of them requires reliable maps of vegetation cover, fuels, and wildfire behavior. We compared commonly used, publicly available vegetation cover and fuels maps, specifically the Rangeland Analysis Platform (RAP) and LANDFIRE, with field-based assessments at two U.S. National Parks dominated by sagebrush steppe: City of Rocks National Reserve and Craters of the Moon National Monument and Preserve. Plant-community composition and fuels measured at ∼1700 field locations spanning ∼300,000 ha revealed that 1) RAP generally underestimated each vegetation cover type where the cover was actually abundant, and conversely overestimated cover types where they were actually scarce, and 2) there was considerable disagreement in fuel-bed maps derived from LANDFIRE compared to field observations. As a result, there were substantial discrepancies in the spatial patterning of wildfire behavior estimated from the fire-spread model FLAMMAP when parameterized with LANDFIRE compared to field-based fuel-bed maps created from Random Forests models. Reliable maps of vegetation cover and fuel conditions are needed to help guide fuels and invasive species management, especially given recent increases in pre- and post-fire treatments in arid and semiarid landscapes. The costs associated with poorly informed fuel reduction may greatly exceed the costs of field-based vegetation and fuels inventory to inform effective design of vegetative fuels treatments.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2025.125808","usgsCitation":"Price, S.J., Kluender, C.R., Germino, M., and Rodhouse, T., 2025, Reliability of satellite-based vegetation maps for planning wildfire-fuel treatments in shrub steppe: Inferences from two contrasting national parks: Journal of Environmental Management, v. 387, 125808, 12 p., https://doi.org/10.1016/j.jenvman.2025.125808.","productDescription":"125808, 12 p.","ipdsId":"IP-171498","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":491010,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2025.125808","text":"Publisher Index Page"},{"id":490709,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"City of Rocks National Reserve, Craters of the Moon National Monument and Preserve","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -113.96306260051685,\n              43.328362893323686\n            ],\n            [\n              -113.96306260051685,\n              41.98897016660578\n            ],\n            [\n              -113.23331517169392,\n              41.98897016660578\n            ],\n            [\n              -113.23331517169392,\n              43.328362893323686\n            ],\n            [\n              -113.96306260051685,\n              43.328362893323686\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"387","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Price, Samuel J. 0000-0003-4172-4139","orcid":"https://orcid.org/0000-0003-4172-4139","contributorId":297001,"corporation":false,"usgs":true,"family":"Price","given":"Samuel","email":"","middleInitial":"J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":940323,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kluender, Chad Raymond 0000-0002-4108-4437","orcid":"https://orcid.org/0000-0002-4108-4437","contributorId":296077,"corporation":false,"usgs":true,"family":"Kluender","given":"Chad","email":"","middleInitial":"Raymond","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":940325,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Germino, Matthew J. 0000-0001-6326-7579","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":251901,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":940324,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rodhouse, Thomas","contributorId":244880,"corporation":false,"usgs":false,"family":"Rodhouse","given":"Thomas","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":940326,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70267474,"text":"70267474 - 2025 - Using subducting plate motion to constrain Cascadia slab geometry and interface strength","interactions":[],"lastModifiedDate":"2025-05-27T14:21:59.500949","indexId":"70267474","displayToPublicDate":"2025-05-23T09:17:34","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Using subducting plate motion to constrain Cascadia slab geometry and interface strength","docAbstract":"<p><span>Subduction zones are home to multiple geohazards driven by the evolution of the regional tectonics, including earthquakes, volcanic eruptions and landslides. Past evolution builds the present-day structure of the margin, while the present-day configuration of the system determines the state-of-stress in which individual hazardous events manifest. Regional simulations of subduction zones provide a tool to synthesize the tectonic history of a region and investigate how geologic features lead to variations in the state of stress across the subduction system. However, it is challenging to design regional models that provide a force-balance that is consistent with the large-scale motion of surrounding tectonic plates while also not over-constraining the solution. Here, we present new models for the Cascadia subduction zone that meet these criteria and demonstrate how the motion of the subducting Juan de Fuca plate can be used to determine the along-strike variations in the viscous (long-term) coupling across the plate boundary. All successful models require lower viscous coupling in the northern section of the trench compared to the central and southern sections. However, due to uncertainties in the geometry of the Cascadia slab, we find that there is a trade-off between along-strike variation in viscous coupling and slab shape. Better constraints on the slab shape, and/or use of other observations are needed to resolve this trade-off. The approach presented here provides a framework for further exploring how geologic features in the overriding plate and the properties of the plate boundary region affect the state-of-stress across this and other subduction zones.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024GC011895","usgsCitation":"Fraters, M., Billen, M., Naliboff, J., Staisch, L.M., Watt, J., and Li, H., 2025, Using subducting plate motion to constrain Cascadia slab geometry and interface strength: Geochemistry, Geophysics, Geosystems, v. 26, no. 5, e2024GC011895, 32 p., https://doi.org/10.1029/2024GC011895.","productDescription":"e2024GC011895, 32 p.","ipdsId":"IP-175035","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":490152,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024gc011895","text":"Publisher Index Page"},{"id":486574,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Cascadia subduction zone","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -135,\n              52.5\n            ],\n            [\n              -135,\n              37.5\n            ],\n            [\n              -110,\n              37.5\n            ],\n            [\n              -110,\n              52.5\n            ],\n            [\n              -135,\n              52.5\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"26","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-05-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Fraters, Menno","contributorId":355883,"corporation":false,"usgs":false,"family":"Fraters","given":"Menno","affiliations":[{"id":84852,"text":"GFZ Research Center for Geosciences","active":true,"usgs":false}],"preferred":false,"id":938348,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Billen, Magali","contributorId":333643,"corporation":false,"usgs":false,"family":"Billen","given":"Magali","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":938349,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Naliboff, John","contributorId":355884,"corporation":false,"usgs":false,"family":"Naliboff","given":"John","affiliations":[{"id":7026,"text":"New Mexico Tech","active":true,"usgs":false}],"preferred":false,"id":938350,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Staisch, Lydia M. 0000-0002-1414-5994 lstaisch@usgs.gov","orcid":"https://orcid.org/0000-0002-1414-5994","contributorId":167068,"corporation":false,"usgs":true,"family":"Staisch","given":"Lydia","email":"lstaisch@usgs.gov","middleInitial":"M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":938351,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Watt, Janet 0000-0002-4759-3814","orcid":"https://orcid.org/0000-0002-4759-3814","contributorId":221271,"corporation":false,"usgs":true,"family":"Watt","given":"Janet","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":938352,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Li, Haoyuan","contributorId":355885,"corporation":false,"usgs":false,"family":"Li","given":"Haoyuan","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":938353,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70267491,"text":"70267491 - 2025 - Modeling individual-level and population-level nest success of California Condors from movement data","interactions":[],"lastModifiedDate":"2025-05-27T14:03:49.537407","indexId":"70267491","displayToPublicDate":"2025-05-23T08:44:31","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"title":"Modeling individual-level and population-level nest success of California Condors from movement data","docAbstract":"<p><span>The California Condor (</span><i>Gymnogyps californianus</i><span>) is a critically endangered species with populations that are not currently self-sustaining. Although understanding nest success is key to understanding trends in their populations, field monitoring of condor nests has become increasingly challenging as the number of nesting condors has increased and their range has expanded. We investigated whether California Condor nest fate could be accurately estimated from telemetry data with limited field observations. Our study focused on the southern California population of California Condors (2015–2022), and we used a recently published Bayesian hierarchical modeling framework that combines movement data and occasional field observations to estimate individual-level and population-level nest success. The model detected shifts in space use to categorize if each nest failed or if a young fledged. Estimated model parameters suggested that after nest failure, condors shifted toward more expansive space use. Additional field observations, not included as data in the model, provided evidence that we accurately categorized nest fate for 63 out of 65 California Condor nesting attempts. Finally, we scaled individual-level reproductive success to estimate annual population-level nesting success. These methods offer managers a way to reduce field monitoring efforts while still allowing for estimation of nest success, which will be key as the breeding populations of California Condors continue to grow and become more widely spread across the landscape.</span></p>","language":"English","publisher":"Raptor Research Foundation","doi":"10.3356/jrr2464","usgsCitation":"Blackburn, A., Eisaguirre, J.M., Brandt, J.C., Punzalan, A., Mcmahon, L., Astell, M., Seal Faith, N., Meyer, D.J., and Sandhaus, E., 2025, Modeling individual-level and population-level nest success of California Condors from movement data: Journal of Raptor Research, v. 59, no. 3, jrr2464, 11 p., https://doi.org/10.3356/jrr2464.","productDescription":"jrr2464, 11 p.","ipdsId":"IP-169837","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":488102,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3356/jrr2464","text":"Publisher Index Page"},{"id":486571,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121.32211025552813,\n              36.28940419433357\n            ],\n            [\n              -120.00478872484904,\n              34.43478894822218\n            ],\n            [\n              -118.61047283563802,\n              34.31101307176946\n            ],\n            [\n              -117.16910974890232,\n              34.36199636242087\n            ],\n            [\n              -117.12500300122358,\n              35.49657369871312\n            ],\n            [\n              -118.83340436132296,\n        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Ecosystems","active":true,"usgs":true}],"preferred":true,"id":938383,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brandt, Joseph C.","contributorId":288474,"corporation":false,"usgs":false,"family":"Brandt","given":"Joseph","email":"","middleInitial":"C.","affiliations":[{"id":61768,"text":"U.S. Fish and Wildlife Service, Hopper Mountain National Wildlife Refuge Complex, Ventura, CA","active":true,"usgs":false}],"preferred":false,"id":938384,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Punzalan, Arianna","contributorId":355922,"corporation":false,"usgs":false,"family":"Punzalan","given":"Arianna","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":938385,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mcmahon, Laura","contributorId":275577,"corporation":false,"usgs":false,"family":"Mcmahon","given":"Laura","email":"","affiliations":[],"preferred":false,"id":938386,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Astell, Molly","contributorId":199753,"corporation":false,"usgs":false,"family":"Astell","given":"Molly","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":938387,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Seal Faith, Nadya E.","contributorId":355923,"corporation":false,"usgs":false,"family":"Seal Faith","given":"Nadya E.","affiliations":[{"id":84857,"text":"Santa Barbara Zoo","active":true,"usgs":false}],"preferred":false,"id":938388,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Meyer, David J.","contributorId":149174,"corporation":false,"usgs":false,"family":"Meyer","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":938389,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sandhaus, Estelle A.","contributorId":355924,"corporation":false,"usgs":false,"family":"Sandhaus","given":"Estelle A.","affiliations":[{"id":84857,"text":"Santa Barbara Zoo","active":true,"usgs":false}],"preferred":false,"id":938390,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70267708,"text":"70267708 - 2025 - Optimizing the effectiveness of connectivity modifiers to reduce dryland degradation","interactions":[],"lastModifiedDate":"2025-08-04T15:49:49.145589","indexId":"70267708","displayToPublicDate":"2025-05-23T08:05:05","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Optimizing the effectiveness of connectivity modifiers to reduce dryland degradation","docAbstract":"<p><span>Dryland degradation from unsustainable land use and increasing aridity often manifests as bare, interconnected areas that facilitate the loss or redistribution of resources (soil, seeds, and nutrients) through wind and run-off. Physical structures like branches and stick bundles, which disrupt these pathways and retain resources, are crucial for rehabilitation and restoration. Connectivity modifiers or ConMods, which are galvanized mesh structures that mimic low stature vegetation, are tools specifically designed to interrupt connected pathways and help reinforce overall site stability. Yet, how to effectively and consistently use ConMods to achieve site stability has not been thoroughly tested. Here, we used the Aeolian EROsion model to investigate the combined effects of ConMod height, porosity, and spacing on simulated horizontal sediment flux, a key indicator of site stability. We assessed ConMod performance as percent reduction in predicted sediment flux versus a bare, unvegetated 10,000 m</span><sup>2</sup><span>&nbsp;area for a range of horizontal sediment flux. Additionally, in a field experiment, ConMods increased litter retention by up to 15.6 mm compared to bare ground plots, demonstrating their potential to enhance both soil stabilization and resource retention. These findings underscore the potential of ConMods as flexible, cost-effective tools that interrupt positive feedbacks to degradation and provide measurable benchmarks for restoration success.</span></p>","language":"English","publisher":"Society for Ecological Restoration","doi":"10.1111/rec.70055","usgsCitation":"Young, K., Edwards, B.L., Duniway, M.C., and Webb, N.P., 2025, Optimizing the effectiveness of connectivity modifiers to reduce dryland degradation: Restoration Ecology, v. 33, no. 6, e70055, 12 p., https://doi.org/10.1111/rec.70055.","productDescription":"e70055, 12 p.","ipdsId":"IP-167354","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":486734,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":488448,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/rec.70055","text":"Publisher Index Page"}],"country":"United States","state":"Utah","otherGeospatial":"Canyonlands National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -110.03506777638498,\n              38.4673190723868\n            ],\n            [\n              -110.03506777638498,\n              38.10519345942603\n            ],\n            [\n              -109.53094559272262,\n              38.10519345942603\n            ],\n            [\n              -109.53094559272262,\n              38.4673190723868\n            ],\n            [\n              -110.03506777638498,\n              38.4673190723868\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"33","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-05-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Young, Kristina E.","contributorId":195945,"corporation":false,"usgs":false,"family":"Young","given":"Kristina E.","affiliations":[],"preferred":false,"id":938595,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Edwards, Brandon L.","contributorId":215510,"corporation":false,"usgs":false,"family":"Edwards","given":"Brandon","email":"","middleInitial":"L.","affiliations":[{"id":39270,"text":"USDA-ARS Jornada Experimental Range, Las Cruces, NM 88003, USA","active":true,"usgs":false}],"preferred":false,"id":938596,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":938597,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Webb, Nicholas P.","contributorId":195924,"corporation":false,"usgs":false,"family":"Webb","given":"Nicholas","email":"","middleInitial":"P.","affiliations":[{"id":6973,"text":"USDA-ARS Jornada Experimental Range and Jornada Basin LTER, Las Cruces, NM; New Mexico State University, Dept. of Plant and Environmental Sciences, Las Cruces, NM","active":true,"usgs":false}],"preferred":false,"id":938598,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70270824,"text":"70270824 - 2025 - Quality assessment of past spawning mark estimations from a long-term survey in the Connecticut River watershed","interactions":[],"lastModifiedDate":"2025-08-25T15:51:52.368614","indexId":"70270824","displayToPublicDate":"2025-05-22T10:46:24","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"CSS-168-2025","title":"Quality assessment of past spawning mark estimations from a long-term survey in the Connecticut River watershed","docAbstract":"<p><span>The calcified structures of fishes provide insight into their periodic growth rates and can be combined with other biological variables to identify metrics such as size or age at maturity and mortality rates. Collecting this information on growth and life history can help evaluate the success of conservation efforts and inform future management decisions for a species in need. However, before these life history data can be applied to larger stock assessments that direct management decisions, confidence in the validity of the data needs to be reported through metrics of accuracy and precision. For this report, we assessed the bias and precision of paired reader estimations of spawning marks on scales of Blueback herring (Alosa aestivalis) collected in the U.S. Fish &amp; Wildlife (USFWS) Annual Adult River Herring Stock Assessment for the lower Connecticut River basin. The paired reads on scales from a total of 8,698 fish over the ten years of the long term monitoring program were evaluated for the annual presence of systematic bias and precision using a combination of qualitative (i.e., frequency tables) and quantitative (i.e., Evan’s and Hoenig’s Test of Symmetry, and Coefficient of Variation (CV) calculations) analyses. While seven out of the ten survey years had systematic bias detected by the tests of symmetry, only three years (2013, 2016, 2018) had imprecision values &gt;10% CV threshold. Data were further categorized into specific age classes within survey years to increase our resolution on where bias and imprecision was most prevalent. While the ability for accurate bias detection was limited by sufficient sample sizes (&gt;25 fish), average imprecision values increased with age, and median age classes (4 through 6) commonly had bias detected. However, the removal of insufficient age classes prior to calculating average annual CV did not significantly change the initial average. Lastly, 2023, which was the first year to implement a standardized training procedure prior to production estimating, had the highest precision for both the annual average and specific age classes compared to all prior survey years. This standardized training procedure will continue to be used by USFWS for the lower Connecticut River tributaries, and can be modified for other river systems. Overall, this report’s results highlight the importance of assessing precision and encourage the standardization of spawning mark identification quality control and assurance for future studies. With more quality assessments and baseline information on precision and bias, there can be more beneficial discussion on defining thresholds and how to implement spawning history variability into catch curve analyses.</span></p>","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/css36742600","usgsCitation":"Stephens, J.B., Jordaan, A., Perkins, D., Sprankle, K., and Roy, A.H., 2025, Quality assessment of past spawning mark estimations from a long-term survey in the Connecticut River watershed: Cooperator Science Series CSS-168-2025, ii, 72 p., https://doi.org/10.3996/css36742600.","productDescription":"ii, 72 p.","ipdsId":"IP-176656","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":494748,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Massachusetts","otherGeospatial":"Connecticut River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -72.96748212492314,\n              42.29494671693686\n            ],\n            [\n              -72.95372317204433,\n              41.28995606733855\n            ],\n            [\n              -72.16868601132036,\n              41.26947837383972\n            ],\n            [\n              -72.16868601132036,\n              42.30090777357515\n            ],\n            [\n              -72.96748212492314,\n              42.29494671693686\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationDate":"2025-05-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Stephens, Jacqueline B.","contributorId":360502,"corporation":false,"usgs":false,"family":"Stephens","given":"Jacqueline","middleInitial":"B.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":947139,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jordaan, Adrian","contributorId":257709,"corporation":false,"usgs":false,"family":"Jordaan","given":"Adrian","affiliations":[{"id":37201,"text":"UMass Amherst","active":true,"usgs":false}],"preferred":false,"id":947140,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perkins, David","contributorId":342184,"corporation":false,"usgs":false,"family":"Perkins","given":"David","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":947141,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sprankle, Kenneth","contributorId":349559,"corporation":false,"usgs":false,"family":"Sprankle","given":"Kenneth","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":947142,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roy, Allison H. 0000-0002-8080-2729 aroy@usgs.gov","orcid":"https://orcid.org/0000-0002-8080-2729","contributorId":4240,"corporation":false,"usgs":true,"family":"Roy","given":"Allison","email":"aroy@usgs.gov","middleInitial":"H.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":947143,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70268407,"text":"70268407 - 2025 - Foraging of wading birds on a patchy landscape: Simulating effects of social information, interference competition, and patch selection on prey intake and individual distribution","interactions":[],"lastModifiedDate":"2025-06-25T14:30:13.104344","indexId":"70268407","displayToPublicDate":"2025-05-21T09:26:42","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Foraging of wading birds on a patchy landscape: Simulating effects of social information, interference competition, and patch selection on prey intake and individual distribution","docAbstract":"<p><span>Foragers on patchy landscapes must acquire sufficient resources despite uncertainty in the location and amount of the resources. Optimal Foraging Theory posits that foragers deal with this uncertainty by using strategies that optimize resource intake within foraging periods. For species such as wading birds, this optimization is closely linked to their survival and reproductive success. Understanding the influence of patch selection on individual resource intake and foraging distribution is therefore crucial. In this study, we simulated how resource distribution, interference competition, and social cues—such as aggregation behaviors—influence resource intake and foraging spatial distribution. We employed an individual-based model simulating wading bird foraging behaviors, with 900 individuals simultaneously foraging across a landscape with unknown resource distribution. Birds employed one of three patch-finding strategies: random, cue-searching, or hybrid, which uses both searching strategies. Each bird decided whether to remain in a patch based on a prey density threshold. We compared the daily resource intake and foraging distribution of birds across different modeled patch-finding strategies, resource distribution patterns, and the presence or absence of interference competition. Wading birds exhibiting aggregation behavior displayed increased intake rates when resources were concentrated and interference minimal. Aggregation behavior led to a closer match with the ideal free distribution when the prey density threshold was optimal. These findings provide theoretical support that aggregation behavior is effective in scenarios where resources are concentrated in a few patches, social cues are used by relatively few individuals, and interference competition is limited.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2025.111178","usgsCitation":"Lee, H.W., DeAngelis, D., Yurek, S., and Papastamatiou, Y., 2025, Foraging of wading birds on a patchy landscape: Simulating effects of social information, interference competition, and patch selection on prey intake and individual distribution: Ecological Modelling, v. 507, 111178, 14 p., https://doi.org/10.1016/j.ecolmodel.2025.111178.","productDescription":"111178, 14 p.","ipdsId":"IP-175552","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":491501,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2025.111178","text":"Publisher Index Page"},{"id":491277,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"507","noUsgsAuthors":false,"publicationDate":"2025-05-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Lee, Hyo Won","contributorId":292184,"corporation":false,"usgs":false,"family":"Lee","given":"Hyo","email":"","middleInitial":"Won","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":941239,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":357336,"corporation":false,"usgs":false,"family":"DeAngelis","given":"Donald L.","affiliations":[{"id":7065,"text":"USGS emeritus","active":true,"usgs":false}],"preferred":false,"id":941240,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yurek, Simeon 0000-0002-6209-7915","orcid":"https://orcid.org/0000-0002-6209-7915","contributorId":216733,"corporation":false,"usgs":true,"family":"Yurek","given":"Simeon","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":941241,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Papastamatiou, Yannis P.","contributorId":356586,"corporation":false,"usgs":false,"family":"Papastamatiou","given":"Yannis P.","affiliations":[{"id":85026,"text":"Biological Sciences, Institute of Environment, Florida International University, 3000 NE 151st Street, 33181 North Miami (Florida), United States of America","active":true,"usgs":false}],"preferred":false,"id":941242,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70267725,"text":"70267725 - 2025 - Bayesian ETAS modeling for the Pacific Northwest: Uncovering effects of tectonic regimes, regional differences, and swarms on aftershock parameters","interactions":[],"lastModifiedDate":"2025-09-22T15:18:36.884038","indexId":"70267725","displayToPublicDate":"2025-05-21T09:23:08","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Bayesian ETAS modeling for the Pacific Northwest: Uncovering effects of tectonic regimes, regional differences, and swarms on aftershock parameters","docAbstract":"<p><span>The Pacific Northwest (PNW) of North America has high seismic hazard due to numerous earthquake sources under populated areas. It hosts several tectonic regimes and subregional seismic zones that are hypothesized to have different patterns of earthquake and aftershock occurrence. It is also predisposed to earthquake swarms, which can complicate the statistical modeling of these patterns. We present the first statistical seismicity model of the PNW catalog using the epidemic‐type aftershock sequence (ETAS) framework. We develop a Bayesian inference procedure that provides a stable estimation of both ETAS parameters and their uncertainties for different sets of PNW earthquakes, even those with very sparse catalogs. The Bayesian approach allows us to investigate how parameter estimates change between the intraslab and crustal tectonic regimes, the northern and southern PNW, and when swarms are included and excluded from the catalog. We also utilize our Bayesian framework to calculate parameter estimates under different prior beliefs about PNW seismicity, as well as to propagate catalog measurement errors into ETAS parameter estimates. We discuss the implications of parameter differences across the region for aftershock forecasting for the PNW.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120240249","usgsCitation":"Schneider, M., Barall, M., Guttorp, P., Hardebeck, J.L., Michael, A.J., Page, M.T., and van der Elst, N., 2025, Bayesian ETAS modeling for the Pacific Northwest: Uncovering effects of tectonic regimes, regional differences, and swarms on aftershock parameters: Bulletin of the Seismological Society of America, v. 115, no. 5, p. 2219-2236, https://doi.org/10.1785/0120240249.","productDescription":"18 p.","startPage":"2219","endPage":"2236","ipdsId":"IP-170994","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":486723,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Pacific Northwest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -133.48546091610666,\n              52.60993149081935\n            ],\n            [\n              -127.12402970642239,\n              39.04184775255658\n            ],\n            [\n              -117.3837323841093,\n              39.378962497073985\n            ],\n            [\n              -117.06660127855778,\n              51.3962329850375\n            ],\n            [\n              -133.48546091610666,\n              52.60993149081935\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"115","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-05-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Schneider, Max 0000-0003-2945-7904","orcid":"https://orcid.org/0000-0003-2945-7904","contributorId":340346,"corporation":false,"usgs":true,"family":"Schneider","given":"Max","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":938651,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barall, Michael 0000-0001-7724-8563 mbarall@usgs.gov","orcid":"https://orcid.org/0000-0001-7724-8563","contributorId":271197,"corporation":false,"usgs":true,"family":"Barall","given":"Michael","email":"mbarall@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":938652,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guttorp, Peter","contributorId":350934,"corporation":false,"usgs":false,"family":"Guttorp","given":"Peter","affiliations":[{"id":83880,"text":"Norwegian Computing Center","active":true,"usgs":false}],"preferred":false,"id":938653,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hardebeck, Jeanne L. 0000-0002-6737-7780","orcid":"https://orcid.org/0000-0002-6737-7780","contributorId":254964,"corporation":false,"usgs":true,"family":"Hardebeck","given":"Jeanne","email":"","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":938654,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Michael, Andrew J. 0000-0002-2403-5019 michael@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-5019","contributorId":1280,"corporation":false,"usgs":true,"family":"Michael","given":"Andrew","email":"michael@usgs.gov","middleInitial":"J.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":938655,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Page, Morgan T. 0000-0001-9321-2990 mpage@usgs.gov","orcid":"https://orcid.org/0000-0001-9321-2990","contributorId":3762,"corporation":false,"usgs":true,"family":"Page","given":"Morgan","email":"mpage@usgs.gov","middleInitial":"T.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":938656,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"van der Elst, Nicholas 0000-0002-3812-1153 nvanderelst@usgs.gov","orcid":"https://orcid.org/0000-0002-3812-1153","contributorId":147858,"corporation":false,"usgs":true,"family":"van der Elst","given":"Nicholas","email":"nvanderelst@usgs.gov","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":938657,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70267676,"text":"70267676 - 2025 - Linking fire radiative power to land cover, fire history, and environmental setting in Alaska, 2003–2022","interactions":[],"lastModifiedDate":"2025-05-29T14:11:26.313587","indexId":"70267676","displayToPublicDate":"2025-05-21T09:06:54","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2083,"text":"International Journal of Wildland Fire","active":true,"publicationSubtype":{"id":10}},"title":"Linking fire radiative power to land cover, fire history, and environmental setting in Alaska, 2003–2022","docAbstract":"<div class=\"section\"><strong>Background</strong><p id=\"d6e228\">Fire radiative power (FRP) shows promise as a diagnostic and predictive indicator of fire behavior and post-fire effects in Alaska, USA.</p></div><div class=\"section\"><strong>Aims</strong><p id=\"d6e233\">To investigate relationships between FRP, vegetation functional groups, and environmental settings in Alaska (2003–2022) under various fire history conditions.</p></div><div class=\"section\"><strong>Methods</strong><p id=\"d6e238\">We tested for distinctness of MODIS FRP distributions associated with vegetation classes and fire legacies (frequency and number of previous burns). We used a random forest model to examine relative importance of vegetation class for FRP versus bottom-up biophysical and temporal parameters.</p></div><div class=\"section\"><strong>Key results</strong><p id=\"d6e243\">FRP distributions are statistically distinct among vegetation functional groups with contrasting fuel biomass, or within functional groups with contrasting burn characteristics. Location and topography, which constrain vegetation class, strongly determine FRP, and fire history is of lesser importance over the 19-year analysis period.</p></div><div class=\"section\"><strong>Conclusions</strong><p id=\"d6e248\">FRP can be used to identify wildfire consumption in dissimilar vegetation classes but is highly conditioned by geographic location. The complex and evolving vegetation composition of post-fire boreal landscapes precludes a clear association of expected FRP at distinct stages of recovery.</p></div><div class=\"section\"><strong>Implications</strong><p id=\"d6e253\">These results can inform further study of FRP as an indicator of fire behavior and fuel consumption and for informing dynamics of post-fire recovery across Alaska.</p></div>","language":"English","publisher":"CSIRO Publishing","doi":"10.1071/WF24062","usgsCitation":"Walker, J., Loehman, R.A., Smith, B.W., and Soulard, C.E., 2025, Linking fire radiative power to land cover, fire history, and environmental setting in Alaska, 2003–2022: International Journal of Wildland Fire, v. 34, WF24062, 18, https://doi.org/10.1071/WF24062.","productDescription":"WF24062, 18","ipdsId":"IP-149691","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":488431,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1071/wf24062","text":"Publisher Index Page"},{"id":486721,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -141,\n              71.11417904030478\n            ],\n            [\n              -168.7425969511378,\n              71.11417904030478\n            ],\n            [\n              -168.7425969511378,\n              54.3761929090995\n            ],\n            [\n              -141,\n              54.3761929090995\n            ],\n            [\n              -141,\n              71.11417904030478\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"34","noUsgsAuthors":false,"publicationDate":"2025-05-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Walker, Jessica J. 0000-0002-3225-0317","orcid":"https://orcid.org/0000-0002-3225-0317","contributorId":207373,"corporation":false,"usgs":true,"family":"Walker","given":"Jessica J.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":938497,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loehman, Rachel A. 0000-0001-7680-1865 rloehman@usgs.gov","orcid":"https://orcid.org/0000-0001-7680-1865","contributorId":187605,"corporation":false,"usgs":true,"family":"Loehman","given":"Rachel","email":"rloehman@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":false,"id":938498,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Britt Windsor 0000-0003-1556-2383","orcid":"https://orcid.org/0000-0003-1556-2383","contributorId":287481,"corporation":false,"usgs":true,"family":"Smith","given":"Britt","email":"","middleInitial":"Windsor","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":938499,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Soulard, Christopher E. 0000-0002-5777-9516 csoulard@usgs.gov","orcid":"https://orcid.org/0000-0002-5777-9516","contributorId":2642,"corporation":false,"usgs":true,"family":"Soulard","given":"Christopher","email":"csoulard@usgs.gov","middleInitial":"E.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":938500,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70266892,"text":"sir20255032 - 2025 - Flood-inundation maps for 14.8 miles of Little and Big Papillion Creeks in Omaha, Nebraska, 2023","interactions":[],"lastModifiedDate":"2025-08-07T21:16:38.983416","indexId":"sir20255032","displayToPublicDate":"2025-05-21T08:56:33","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":"2025-5032","displayTitle":"Flood-Inundation Maps for 14.8 Miles of Little and Big Papillion Creeks in Omaha, Nebraska, 2023","title":"Flood-inundation maps for 14.8 miles of Little and Big Papillion Creeks in Omaha, Nebraska, 2023","docAbstract":"<p>Digital flood-inundation map libraries for two reaches that constitute 14.8 miles of Little and Big Papillion Creeks in Omaha, Nebraska, were created by the U.S. Geological Survey (USGS) in cooperation with the Papio-Missouri River Natural Resource District. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Program website at <a data-mce-href=\"https://www.usgs.gov/mission-areas/water-resources/science/flood-inundation-mapping-fim-program\" href=\"https://www.usgs.gov/mission-areas/water-resources/science/flood-inundation-mapping-fim-program\">https://www.usgs.gov/mission-areas/water-resources/science/flood-inundation-mapping-fim-program</a>, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at Little Papillion Creek at Irvington, Nebr. (USGS station 06610750), Little Papillion Creek at Ak-Sar-Ben at Omaha, Nebr. (USGS station 06610765), and Big Papillion Creek at Q Street at Omaha, Nebr. (USGS station 06610770) streamgages. Near-real-time stages at these streamgages may be obtained from the USGS National Water Information System database at <a data-mce-href=\"https://doi.org/10.5066/F7P55KJN\" href=\"https://doi.org/10.5066/F7P55KJN\">https://doi.org/10.5066/F7P55KJN</a> or from the National Weather Service Advanced Hydrologic Prediction Service at <a data-mce-href=\"https://water.weather.gov/ahps/\" href=\"https://water.weather.gov/ahps/\">https://water.weather.gov/ahps/</a>.</p><p>Flood profiles were computed for two different reaches that constitute 14.8 miles of stream length in the study area by using hydraulic models. The models were calibrated by adjusting roughness coefficients to best represent the current (2022) stage-streamflow relation at the streamgages within the study reach.</p><p>The hydraulic models were then used to compute water-surface profiles at 1-foot stage intervals for selected stage ranges to represent various flooding scenarios at the streamgages in each reach. The simulated water-surface profiles then were combined with a digital elevation model using a geographic information system, which had a 10-foot grid spacing to delineate the flooding extents and water depths for each stage. The availability of these flood-inundation maps, along with information regarding current stage from the USGS streamgages, can provide emergency management personnel and residents with information that is critical for flood response activities and post flood recovery efforts.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255032","collaboration":"Prepared in cooperation with the Papio-Missouri River Natural Resource District","usgsCitation":"Strauch, K.R., and Hoefer, B.R., 2025, Flood-inundation maps for 14.8 miles of Little and Big Papillion Creeks in Omaha, Nebraska, 2023: U.S. Geological Survey Scientific Investigations Report 2025–5032, 14 p., https://doi.org/10.3133/sir20255032.","productDescription":"Report: vi, 14 p.; Data Release; Dataset","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-152753","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":493771,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118579.htm","linkFileType":{"id":5,"text":"html"}},{"id":485915,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5032/coverthb.jpg"},{"id":485916,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5032/sir20255032.pdf","text":"Report","size":"2.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5032"},{"id":485920,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5032/sir20255032.XML"},{"id":485921,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5032/images/"},{"id":485922,"rank":5,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"- USGS water data for the Nation"},{"id":485923,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9OU7E42","text":"USGS data release","linkHelpText":"Flood-inundation geospatial datasets for 14.8 miles of the Little and Big Papillion Creeks in Omaha, Nebraska, 2023"},{"id":485924,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255032/full"}],"country":"United States","state":"Nebraska","city":"Omaha","otherGeospatial":"Little and Big Papillion Creeks","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -96.15305796306968,\n              41.36725587936067\n            ],\n            [\n              -96.15305796306968,\n              41.117996650104345\n            ],\n            [\n              -95.92667071234595,\n              41.117996650104345\n            ],\n            [\n              -95.92667071234595,\n              41.36725587936067\n            ],\n            [\n              -96.15305796306968,\n              41.36725587936067\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/ne-water\" data-mce-href=\"https://www.usgs.gov/centers/ne-water\">Nebraska Water Science Center</a><br>U.S. Geological Survey<br>5231 South 19th Street<br>Lincoln, NE 68512</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Creation of Flood-Inundation Map Library</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2025-05-21","noUsgsAuthors":false,"publicationDate":"2025-05-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Strauch, Kellan R. 0000-0002-7218-2099","orcid":"https://orcid.org/0000-0002-7218-2099","contributorId":208562,"corporation":false,"usgs":true,"family":"Strauch","given":"Kellan R.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true},{"id":84311,"text":"Central Plains Water Science Center","active":true,"usgs":true}],"preferred":true,"id":937072,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoefer, Bradley R.","contributorId":355187,"corporation":false,"usgs":false,"family":"Hoefer","given":"Bradley R.","affiliations":[{"id":64604,"text":"United States Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":937073,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70267382,"text":"70267382 - 2025 - Kiloyear cycles of carbonate and Mg-silicate replacement at Von Damm hydrothermal vent field","interactions":[],"lastModifiedDate":"2025-08-04T15:46:56.168715","indexId":"70267382","displayToPublicDate":"2025-05-20T09:17:57","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Kiloyear cycles of carbonate and Mg-silicate replacement at Von Damm hydrothermal vent field","docAbstract":"<p><span>The Von Damm vent field (VDVF) on the Mid-Cayman Rise in the Caribbean Sea is unique among modern hydrothermal systems in that the chimneys and mounds are almost entirely composed of talc. We analyzed samples collected in 2020 and report that in addition to disordered talc of variable crystallinity, carbonates are a major class of mineral at VDVF. The carbonate minerals include aragonite, calcite, magnesium-rich calcite, and dolomite. Talc and carbonate mineral textures indicate that, rather than replacing volcanic host rock, they precipitate from the mixing of hydrothermal fluids and seawater at the seafloor, occurring in chimneys and surrounding rubble. Alternating precipitation of this mineral assemblage is pervasive, with carbonate minerals typically being succeeded by talc, and with indications that in some cases talc and carbonate minerals replace one another. Stable carbon isotopic data indicate the carbonate minerals originate from the mixing of seawater and hydrothermal fluid, which is supported by U-Th data. Radiocarbon calcite ages and talc&nbsp;</span><sup>234</sup><span>U-</span><sup>230</sup><span>Th isochron ages indicate mineral ages spanning over thousands to tens of thousands of years. Analyses of these samples illustrate a dynamic system that transitions from carbonate-dominated to Mg-silicate−dominated precipitation over time scales of thousands of years. Our observations raise questions regarding the eventual fate of seafloor precipitates and whether carbonate and silicate minerals in such settings are sequestered and represented in the rock record.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/G53228.1","usgsCitation":"Gartman, A., Blackburn, T., Frank, K., Lang, S., and Seewald, J., 2025, Kiloyear cycles of carbonate and Mg-silicate replacement at Von Damm hydrothermal vent field: Geology, v. 53, no. 8, p. 668-672, https://doi.org/10.1130/G53228.1.","productDescription":"5 p.","startPage":"668","endPage":"672","ipdsId":"IP-168945","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":486283,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":487010,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/g53228.1","text":"Publisher Index Page"}],"volume":"53","issue":"8","noUsgsAuthors":false,"publicationDate":"2025-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Gartman, Amy 0000-0001-9307-3062 agartman@usgs.gov","orcid":"https://orcid.org/0000-0001-9307-3062","contributorId":177057,"corporation":false,"usgs":true,"family":"Gartman","given":"Amy","email":"agartman@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":938045,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blackburn, Terrence 0000-0003-0029-0709","orcid":"https://orcid.org/0000-0003-0029-0709","contributorId":259241,"corporation":false,"usgs":false,"family":"Blackburn","given":"Terrence","email":"","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":938046,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frank, Kiana","contributorId":355717,"corporation":false,"usgs":false,"family":"Frank","given":"Kiana","affiliations":[{"id":39036,"text":"University of Hawaii at Manoa","active":true,"usgs":false}],"preferred":false,"id":938047,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lang, Susan Q.","contributorId":355719,"corporation":false,"usgs":false,"family":"Lang","given":"Susan Q.","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":938048,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Seewald, Jeffrey S.","contributorId":58758,"corporation":false,"usgs":true,"family":"Seewald","given":"Jeffrey S.","affiliations":[],"preferred":false,"id":938049,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70267230,"text":"sir20235064G - 2025 - Peak streamflow trends in Montana and northern Wyoming and their relation to changes in climate, water years 1921–2020","interactions":[{"subject":{"id":70267230,"text":"sir20235064G - 2025 - Peak streamflow trends in Montana and northern Wyoming and their relation to changes in climate, water years 1921–2020","indexId":"sir20235064G","publicationYear":"2025","noYear":false,"chapter":"G","displayTitle":"Peak Streamflow Trends in Montana and Northern Wyoming and Their Relation to Changes in Climate, Water Years 1921–2020","title":"Peak streamflow trends in Montana and northern Wyoming and their relation to changes in climate, water years 1921–2020"},"predicate":"IS_PART_OF","object":{"id":70251152,"text":"sir20235064 - 2024 - Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin","indexId":"sir20235064","publicationYear":"2024","noYear":false,"title":"Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin"},"id":1}],"isPartOf":{"id":70251152,"text":"sir20235064 - 2024 - Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin","indexId":"sir20235064","publicationYear":"2024","noYear":false,"title":"Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin"},"lastModifiedDate":"2026-01-26T19:13:21.257304","indexId":"sir20235064G","displayToPublicDate":"2025-05-19T13:20:42","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":"2023-5064","chapter":"G","displayTitle":"Peak Streamflow Trends in Montana and Northern Wyoming and Their Relation to Changes in Climate, Water Years 1921–2020","title":"Peak streamflow trends in Montana and northern Wyoming and their relation to changes in climate, water years 1921–2020","docAbstract":"<p>Frequency analysis on annual peak streamflow (hereinafter, peak flow) is essential to water-resources management applications, including critical structure design (for example, bridges and culverts) and floodplain mapping. Nonstationarity is a statistical property of a peak-flow series such that the distributional properties (the mean, variance, or skew) change either gradually (monotonic trend) or abruptly (shift, step change or change point) through time. Not incorporating or accounting for observed nonstationarity into peak-flow frequency analysis might result in a poor representation of the true probability of large floods and thus misrepresent the actual flood risks to life and property. This report summarizes how hydroclimatic variability might affect the temporal and spatial distributions of peak-flow data in the State of Montana (and northern Wyoming) and is part of a larger study to document peak-flow nonstationarity and hydroclimatic changes across a nine-State region consisting of Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin. A wide range of analyses and statistical approaches are applied to document the primary mechanisms controlling floods and characterize temporal changes in hydroclimatic variables and peak flows. This study was completed in cooperation with the Montana Department of Natural Resources and Conservation.</p><p>The purpose of this report is to characterize temporal and spatial patterns of nonstationarity in peak flows and hydroclimatology in Montana and northern Wyoming. In this evaluation, peak-flow, daily streamflow, and model-simulated gridded climatic data were examined for monotonic trends, change points, and other statistical properties that might indicate changing climatic and environmental conditions. This report includes background information on the study area, the history of U.S. Geological Survey peak-flow data collection and frequency analysis in Montana, and the review of research relating to hydroclimatic variability and change in Montana. This study might help provide a framework for addressing potential nonstationarity issues in peak-flow frequency updates that commonly are completed by the U.S. Geological Survey in cooperation with other agencies throughout the Nation.</p><p>The analytical structure of this study includes analyses of monotonic trends and change points in numerous hydroclimatic variables in assigned 30-, 50-, 75-, and 100-year analysis periods. For Montana and part of Wyoming, the 30-, 50-, 75, and 100-year analyses included 157, 70, 48, and 12 streamgages, respectively. For those streamgages, nonstationarities were analyzed in the following variables: (1) climatic variables, including annual and seasonal (winter, spring, summer, and fall) temperature and precipitation; (2) daily streamflow variables, including the annual center of volume duration, annual center of volume median, and peaks over threshold with a mean of four events per year; and (3) annual peak-flow variables, including peak-flow timing and magnitude. A likelihood approach was used to express statistical confidence and assign the nonstationarity results as likely upward or downward (highest statistical confidence), somewhat likely upward or downward (less statistical confidence), or about as likely as not (little statistical confidence; hereinafter, neutral). For the nonstationarity analyses of the climatic, daily streamflow, and peak-flow variables, the results are presented in detail and discussed with respect to statewide patterns and geographic variability. For each of the 30-, 50-, and 75-year analyses, peak-flow change-point and monotonic trend analyses were compiled for streamgages classified with likely downward or likely upward trends. For those streamgages, the associated basin characteristics and nonstationarity results for peak-flow timing, daily streamflow, and climatic variables were investigated and statistically compared to discern associations among other variables that might contribute to the peak-flow nonstationarity results.</p><p>The 50- and 75-year peak-flow nonstationarities identified in this study are mostly downward, in association with mostly upward temperature and potential evapotranspiration:precipitation monotonic trends. For the 50-, 75-, and 100-year analyses, the peak-flow change points are predominantly downward and are concentrated in the 1970s and 1980s, which indicates general consistency among the longer trend periods. These findings are in association with substantial research documenting globally rising temperature and atmospheric greenhouse gas concentrations that might be largely attributed to anthropogenic activities. Anthropogenic effects might represent long-term (on the order of several decades to more than a century) climate changes that might happen within highly variable natural climate fluctuations. Several paleo studies in the north-central United States have indicated that hydroclimatic extremes (that is, low- and high-streamflow conditions) before European settlement have been outside of extremes since the 1900s. Depending on the interactions of anthropogenic effects and natural climate variability, extreme high-streamflow conditions might occur in the future, even in the presence of long-term downward peak-flow trends.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235064G","collaboration":"Prepared in cooperation with the Montana Department of Natural Resources and Conservation","usgsCitation":"Sando, S.K., Barth, N.A., Sando, R., and Chase, K.J., 2025, Peak streamflow trends in Montana and northern Wyoming and their relation to changes in climate, water years 1921–2020, chap. G <em>of</em> Ryberg, K.R., comp., Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin: U.S. Geological Survey Scientific Investigations Report 2023–5064, 129 p., https://doi.org/10.3133/sir20235064G.","productDescription":"Report: x, 129 p.; Data Release; Dataset","numberOfPages":"144","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-159092","costCenters":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":486055,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5064/g/sir20235064g.pdf","text":"Report","size":"19 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5064-G"},{"id":486054,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5064/g/coverthb.jpg"},{"id":486056,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5064/g/sir20235064g.XML"},{"id":486057,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5064/g/images/"},{"id":486059,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235064G/full"},{"id":499038,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118575.htm","linkFileType":{"id":5,"text":"html"}},{"id":486073,"rank":7,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"- USGS water data for the Nation"},{"id":486058,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9R71WWZ","text":"USGS data release","linkHelpText":"Peak streamflow data, climate data, and results from investigating hydroclimatic trends and climate change effects on peak streamflow in the Central United States, 1921–2020"}],"country":"United States","state":"Montana, Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -116.16658108866669,\n              49\n            ],\n            [\n              -116.16658108866669,\n              43\n            ],\n            [\n              -104.0598539498924,\n              43\n            ],\n            [\n              -104.0598539498924,\n              49\n            ],\n            [\n              -116.16658108866669,\n              49\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/wyoming-montana-water-science-center\" data-mce-href=\"https://www.usgs.gov/centers/wyoming-montana-water-science-center\">Wyoming-Montana Water Science Center</a><br>U.S. Geological Survey<br>3162 Bozeman Avenue<br>Helena, MT 59601</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Description of Study Area</li><li>Brief History of U.S. Geological Survey Annual Peak-Streamflow Data Collection in Montana</li><li>Brief History of Statistical Analysis of Annual Peak Streamflows and Nonstationarity in Montana</li><li>Review of Research Relating to Hydroclimatic Variability and Change</li><li>Methods</li><li>Results of Analyses of Hydroclimatic Shifts and Trends in Climate, Daily Streamflow, and Peak Streamflow</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2025-05-19","noUsgsAuthors":false,"publicationDate":"2025-05-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Sando, Steven K. 0000-0003-1206-1030","orcid":"https://orcid.org/0000-0003-1206-1030","contributorId":203451,"corporation":false,"usgs":true,"family":"Sando","given":"Steven","email":"","middleInitial":"K.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":937380,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barth, Nancy A. 0000-0002-7060-8244 nabarth@usgs.gov","orcid":"https://orcid.org/0000-0002-7060-8244","contributorId":298020,"corporation":false,"usgs":true,"family":"Barth","given":"Nancy","email":"nabarth@usgs.gov","middleInitial":"A.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":937382,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sando, Roy 0000-0003-0704-6258","orcid":"https://orcid.org/0000-0003-0704-6258","contributorId":3874,"corporation":false,"usgs":true,"family":"Sando","given":"Roy","email":"","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":937381,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chase, Katherine J. 0000-0002-5796-4148 kchase@usgs.gov","orcid":"https://orcid.org/0000-0002-5796-4148","contributorId":454,"corporation":false,"usgs":true,"family":"Chase","given":"Katherine","email":"kchase@usgs.gov","middleInitial":"J.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":937383,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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