{"pageNumber":"28","pageRowStart":"675","pageSize":"25","recordCount":184776,"records":[{"id":70273917,"text":"70273917 - 2025 - Geologic models underpinning the 2024 U.S. Geological Survey assessment of undiscovered oil and gas resources in the Hosston and Travis Peak Formations of the onshore Gulf Coast region, U.S.A.","interactions":[],"lastModifiedDate":"2026-02-17T21:07:05.234713","indexId":"70273917","displayToPublicDate":"2025-12-01T11:42:19","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1717,"text":"GCAGS Journal","active":true,"publicationSubtype":{"id":10}},"title":"Geologic models underpinning the 2024 U.S. Geological Survey assessment of undiscovered oil and gas resources in the Hosston and Travis Peak Formations of the onshore Gulf Coast region, U.S.A.","docAbstract":"The Early Cretaceous (Berriasian–Hauterivian) Hosston Formation in Louisiana and eastward is time correlative to the Travis Peak Formation of Texas and southern Arkansas. The formation is a first-order clastic sequence with a regional carbonate transgressive surface as an upper contact. The Hosston and Travis Peak formations contain conventional natural gas and oil accumulations that have been produced for nearly a century. These mature reservoirs contain terrigenous fluvial-deltaic, shore-zone, and paralic deposits across the productive trend; organic-lean mudstone and siltstone lithologies are found outboard of the Lower Cretaceous shelf margin. Producing reservoirs exhibit normal pressure gradients from 0.43 to 0.55 psi/ft (9.7 to 12.4 kpa/m), depths from 4000 to over 20,000 ft (1220 to 6100 m), and temperatures from 150 to 385°F (65 to 196°C). Wells are primarily vertical completions. The number of new field wildcats has been declining since the late 1990s. This paper presents comprehensive geologic models, which include lithofacies maps, structure and isopach maps, burial history models, regional seismic interpretations, and events charts that underpin the recently completed U.S. Geological Survey assessment of undiscovered, technically recoverable hydrocarbons within the Hosston and Travis Peak formations. This study also provides geographic and stratigraphic distributions of Hosston–Travis Peak reservoir properties, including geopressure, reservoir temperature, porosity, permeability, API gravity, and gas-oil ratios. Results indicate estimated undiscovered, technically recoverable mean resources of 28 million barrels of oil and 35.8 trillion cubic ft of gas in conventional and continuous accumulations within the Lower Cretaceous Hosston and Travis Peak formations of the onshore U.S. Gulf Coast region. Quantitative assessment results are detailed in U.S. Geological Survey Fact Sheet 2025–3021 and associated Data Release.","language":"English","publisher":"Gulf Coast Association of Geological Societies","doi":"10.62371/STWR8033","usgsCitation":"Burke, L.A., Paxton, S.T., Kinney, S.A., Gianoutsos, N.J., Dubiel, R., and Pitman, J., 2025, Geologic models underpinning the 2024 U.S. Geological Survey assessment of undiscovered oil and gas resources in the Hosston and Travis Peak Formations of the onshore Gulf Coast region, U.S.A.: GCAGS Journal, v. 14, p. 87-105, https://doi.org/10.62371/STWR8033.","productDescription":"19 p.","startPage":"87","endPage":"105","ipdsId":"IP-171733","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":500123,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":500094,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://gcags.org/Journal/2025_V14/2025_GCAGS_Journal_v14_07_p87-105_Burke_Et_Al.html"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -104.06103212694106,\n              38.66590683410158\n            ],\n            [\n              -104.06103212694106,\n              24.0496145009851\n            ],\n            [\n              -78.58542051058421,\n              24.0496145009851\n            ],\n            [\n              -78.58542051058421,\n              38.66590683410158\n            ],\n            [\n              -104.06103212694106,\n              38.66590683410158\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"14","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Burke, Lauri A. 0000-0002-2035-8048 lburke@usgs.gov","orcid":"https://orcid.org/0000-0002-2035-8048","contributorId":3859,"corporation":false,"usgs":true,"family":"Burke","given":"Lauri","email":"lburke@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":955755,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paxton, Stanley T. 0000-0002-9098-1740 spaxton@usgs.gov","orcid":"https://orcid.org/0000-0002-9098-1740","contributorId":739,"corporation":false,"usgs":true,"family":"Paxton","given":"Stanley","email":"spaxton@usgs.gov","middleInitial":"T.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":955756,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kinney, Scott A. 0000-0001-5008-5813 skinney@usgs.gov","orcid":"https://orcid.org/0000-0001-5008-5813","contributorId":1395,"corporation":false,"usgs":true,"family":"Kinney","given":"Scott","email":"skinney@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":955757,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gianoutsos, Nicholas J. 0000-0002-6510-6549 ngianoutsos@usgs.gov","orcid":"https://orcid.org/0000-0002-6510-6549","contributorId":3607,"corporation":false,"usgs":true,"family":"Gianoutsos","given":"Nicholas","email":"ngianoutsos@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":955758,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dubiel, Russell F. 0000-0002-1280-0350","orcid":"https://orcid.org/0000-0002-1280-0350","contributorId":214101,"corporation":false,"usgs":true,"family":"Dubiel","given":"Russell F.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":955759,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pitman, Janet K. 0000-0002-0441-779X","orcid":"https://orcid.org/0000-0002-0441-779X","contributorId":228982,"corporation":false,"usgs":true,"family":"Pitman","given":"Janet K.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":955760,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70273053,"text":"70273053 - 2025 - A community-based research approach to develop Chronic Wasting Disease outreach with Tribal communities","interactions":[],"lastModifiedDate":"2025-12-12T17:10:05.492799","indexId":"70273053","displayToPublicDate":"2025-12-01T11:06:17","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3405,"text":"Society and Natural Resources","active":true,"publicationSubtype":{"id":10}},"title":"A community-based research approach to develop Chronic Wasting Disease outreach with Tribal communities","docAbstract":"<p><span>Chronic Wasting Disease (CWD) is a fatal and contagious neurological disease of cervid populations across North America. Collaborative efforts between government agencies, researchers, policymakers, and stakeholders are necessary to minimize CWD prevalence, spread, and impacts on animal and human health and well-being. However, critical information related to CWD epidemiology, management, and animal and human health risks was not effectively reaching Tribal Nations and their members. To understand these gaps and specific information needs and ensure meaningful participation in CWD management and control efforts, university researchers and Tribal members partnered to conduct semi-structured interviews that focused on deer hunting and the perceived impacts of CWD on Tribal communities. Interviews provided insights into information preferences, knowledge gaps, and perspectives on CWD, revealing a strong sense of responsibility toward deer and the environment. From this collaborative approach, we can create culturally tailored educational resources that address CWD concerns and align with Tribal values.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/08941920.2025.2572062","usgsCitation":"Faust, R., Bernstein, L.A., Fulton, D.C., Applegate, K., Ayres, A., May, P., Vig, A., Landon, A.C., Ruffing, S., Struck, M., Yoder, C., Schwabenlander, M.D., and Wolf, T.M., 2025, A community-based research approach to develop Chronic Wasting Disease outreach with Tribal communities: Society and Natural Resources, https://doi.org/10.1080/08941920.2025.2572062.","ipdsId":"IP-176947","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":497709,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/08941920.2025.2572062","text":"Publisher Index 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Indians,","active":true,"usgs":false}],"preferred":false,"id":952175,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Struck, Madeline","contributorId":364022,"corporation":false,"usgs":false,"family":"Struck","given":"Madeline","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":952176,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Yoder, Colin","contributorId":364023,"corporation":false,"usgs":false,"family":"Yoder","given":"Colin","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":952177,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Schwabenlander, Marc D.","contributorId":364024,"corporation":false,"usgs":false,"family":"Schwabenlander","given":"Marc","middleInitial":"D.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":952178,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Wolf, Tiffany M.","contributorId":364025,"corporation":false,"usgs":false,"family":"Wolf","given":"Tiffany","middleInitial":"M.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":952179,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70274042,"text":"70274042 - 2025 - Habitat selection by Rocky Mountain Population greater Sandhill Cranes (Antigone canadensis tabida) during spring and autumn migration at a key stopover area","interactions":[],"lastModifiedDate":"2026-02-23T17:04:09.417799","indexId":"70274042","displayToPublicDate":"2025-12-01T10:57:50","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23304,"text":"Avian Conservation and Ecology.","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Habitat selection by Rocky Mountain Population greater Sandhill Cranes (<i>Antigone canadensis tabida</i>) during spring and autumn migration at a key stopover area","title":"Habitat selection by Rocky Mountain Population greater Sandhill Cranes (Antigone canadensis tabida) during spring and autumn migration at a key stopover area","docAbstract":"<p><span>The San Luis Valley (SLV), Colorado is a critical stopover area for Rocky Mountain Population greater Sandhill Cranes (</span><i>Antigone canadensis tabida</i><span>). During spring and autumn, cranes use crops for foraging and water resources adjacent to foraging areas for roosting and loafing. However, surface water is becoming increasingly limited in the SLV. Understanding the factors that affect use by roosting, loafing, and foraging cranes and where habitat is the most limiting will inform water and habitat management under changing conditions. We used mixed-effects models to determine the effects of habitat variables, ownership, and landcover type on the selection of roosting, loafing, and foraging areas by cranes marked with GPS transmitters (2015–2021). We found that Sandhill Cranes selected for areas with a high amount of water, relatively short vegetation (&lt; 5 m in autumn, &lt; 10 m in spring), close to grain fields (&lt; 5 km), and areas identified as open water for roosting. Loafing Sandhill Cranes also selected for areas with short vegetation and close to grain fields but that had less water and more sandbar and were identified as pastures or wetlands. Although selection was higher for private land overall, we found evidence of avoidance of private lands and a stronger preference for public lands with increasing surface water for roosting in spring. For foraging areas, selection was highest for barley in both seasons, but triticale and other grains had relatively high selection in autumn. Our research confirms the importance of providing roosting and loafing areas on both private and public lands close to foraging areas and provides evidence that roosting and loafing opportunities may be most limited on public lands in the SLV.</span></p>","language":"English","publisher":"The Resilience Alliance","doi":"10.5751/ACE-02924-200214","usgsCitation":"Vanausdall, R.A., Kendall, W.L., Collins, D.P., Donnelly, J.P., Hays, Q.R., 2025, Habitat selection by Rocky Mountain Population greater Sandhill Cranes (Antigone canadensis tabida) during spring and autumn migration at a key stopover area: Avian Conservation and Ecology., v. 20, no. 2, 14, 19 p., https://doi.org/10.5751/ACE-02924-200214.","productDescription":"14, 19 p.","ipdsId":"IP-167764","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500589,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/ace-02924-200214","text":"Publisher Index Page"},{"id":500424,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"San Luis Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -107,\n              38.5\n            ],\n            [\n              -107,\n              37\n            ],\n            [\n              -105,\n              37\n            ],\n            [\n              -105,\n              38.5\n            ],\n            [\n              -107,\n              38.5\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"20","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Vanausdall, Rachel A.","contributorId":366817,"corporation":false,"usgs":false,"family":"Vanausdall","given":"Rachel","middleInitial":"A.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":956273,"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":956274,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collins, Daniel P.","contributorId":366821,"corporation":false,"usgs":false,"family":"Collins","given":"Daniel","middleInitial":"P.","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":956275,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Donnelly, J. Patrick","contributorId":366822,"corporation":false,"usgs":false,"family":"Donnelly","given":"J.","middleInitial":"Patrick","affiliations":[{"id":81227,"text":"Intermountain West Joint Venture","active":true,"usgs":false}],"preferred":false,"id":956276,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hays, Quentin R.","contributorId":366823,"corporation":false,"usgs":false,"family":"Hays","given":"Quentin","middleInitial":"R.","affiliations":[{"id":87508,"text":"Geosystems Analysis","active":true,"usgs":false}],"preferred":false,"id":956277,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70271457,"text":"70271457 - 2025 - Multi-scale predictors of Northern Long-eared Bat (Myotis septentrionalis) occupancy in the United States","interactions":[],"lastModifiedDate":"2026-01-13T16:43:42.167219","indexId":"70271457","displayToPublicDate":"2025-12-01T10:40:43","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":19892,"text":"Journal of North American Bat Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Multi-scale predictors of Northern Long-eared Bat (<i>Myotis septentrionalis</i>) occupancy in the United States","title":"Multi-scale predictors of Northern Long-eared Bat (Myotis septentrionalis) occupancy in the United States","docAbstract":"<p><span>Historically,&nbsp;</span><i>Myotis septentrionalis</i><span>&nbsp;(Northern Long eared Bat) was among the most common forest-interior species in North America. Largely due to high mortality from white-nose syndrome, this species has experienced severe population declines across its range. To create an updated species distribution map representing summer occupancy probabilities from 2017 to 2022, we integrated stationary acoustic data with live-capture data from the database of the North American Bat Monitoring Program into a multi-scale, multi-method occupancy modeling framework. Our results provide data-driven predictions with quantified uncertainty for summer occupancy probabilities for Northern Long-eared Bats at 2 spatial scales across the range of the species, while also accounting for inherent observation biases (e.g., imperfect detection).</span></p>","language":"English","publisher":"Eagle Hill Institute","usgsCitation":"Wray, A.K., Udell, B.J., Davis, H.T., Inman, R.D., Lohre, B.T., Price, H.B., Reichard, J.D., Schuhmann, A.N., Straw, B., Tousley, F.C., Utrup, J., Wiens, A.M., and Reichert, B., 2025, Multi-scale predictors of Northern Long-eared Bat (Myotis septentrionalis) occupancy in the United States: Journal of North American Bat Research, v. 3, no. 15, p. 1-18.","productDescription":"18 p.","startPage":"1","endPage":"18","ipdsId":"IP-170297","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science 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,{"id":70272645,"text":"70272645 - 2025 - STREAMS guidelines: Standards for technical reporting in environmental and host-associated microbiome studies","interactions":[],"lastModifiedDate":"2025-12-02T16:49:15.387215","indexId":"70272645","displayToPublicDate":"2025-12-01T10:37:32","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5843,"text":"Nature Microbiology","onlineIssn":"2058-5276","active":true,"publicationSubtype":{"id":10}},"title":"STREAMS guidelines: Standards for technical reporting in environmental and host-associated microbiome studies","docAbstract":"<p><span>The interdisciplinary nature of microbiome research, coupled with the generation of complex multi-omics data, makes knowledge sharing challenging. 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,{"id":70273201,"text":"70273201 - 2025 - Evaluating Three-Dimensional Elevation Program lidar consistency and accuracy at scale using cloud-native, open-source methods","interactions":[],"lastModifiedDate":"2026-01-13T16:18:41.905831","indexId":"70273201","displayToPublicDate":"2025-12-01T10:14:44","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3052,"text":"Photogrammetric Engineering and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating Three-Dimensional Elevation Program lidar consistency and accuracy at scale using cloud-native, open-source methods","docAbstract":"<p><span>The U.S. Geological Survey three-dimensional elevation program (3DEP) has significantly expanded national lidar coverage, necessitating scalable, reproducible methods for assessing data quality across diverse terrains and acquisition conditions. This study introduces a cloud-native, open-source workflow designed to evaluate the geometric accuracy and consistency of 3DEP lidar data sets at a national scale. Leveraging tools such as the Point Data Abstraction Library, Open3D, and Amazon Web Services infrastructure, the workflow integrates global navigation satellite system‐surveyed ground control points and terrestrial laser scanning data to validate airborne lidar collections. Two case studies demonstrate the application of this process. In Puerto Rico, the process identified vertical biases and inconsistencies in vegetated areas, while in Iowa and Arizona, the process confirmed high vertical accuracy with minimal bias. The results underscore the effectiveness of combining cloud computing with open-source tools to perform large-scale lidar data quality assessments. This process offers a reproducible, efficient solution for nationwide validation of 3DEP data sets, supporting enhanced decision-making in geospatial applications.</span></p>","language":"English","publisher":"American Society for Photogrammetry and Remote Sensing","doi":"10.14358/PERS.25-00093R2","usgsCitation":"Sampath, A., Irwin, J., and Stoker, J.M., 2025, Evaluating Three-Dimensional Elevation Program lidar consistency and accuracy at scale using cloud-native, open-source methods: Photogrammetric Engineering and Remote Sensing, v. 91, no. 12, p. 777-785, https://doi.org/10.14358/PERS.25-00093R2.","productDescription":"9 p.","startPage":"777","endPage":"785","ipdsId":"IP-180351","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":498590,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"91","issue":"12","noUsgsAuthors":false,"publicationDate":"2025-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Sampath, Aparajithan 0000-0002-6922-4913","orcid":"https://orcid.org/0000-0002-6922-4913","contributorId":222486,"corporation":false,"usgs":false,"family":"Sampath","given":"Aparajithan","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":false,"id":952695,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Irwin, Jeffrey 0000-0001-5828-0787 jrirwin@usgs.gov","orcid":"https://orcid.org/0000-0001-5828-0787","contributorId":222485,"corporation":false,"usgs":true,"family":"Irwin","given":"Jeffrey","email":"jrirwin@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":952696,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stoker, Jason M. 0000-0003-2455-0931 jstoker@usgs.gov","orcid":"https://orcid.org/0000-0003-2455-0931","contributorId":3021,"corporation":false,"usgs":true,"family":"Stoker","given":"Jason","email":"jstoker@usgs.gov","middleInitial":"M.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":952697,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70272697,"text":"70272697 - 2025 - Estimation of dynamic geologic CO2 storage resources in the Illinois Basin, including effects of brine extraction, anisotropy, and hydrogeologic heterogeneity","interactions":[],"lastModifiedDate":"2025-12-04T16:26:55.8147","indexId":"70272697","displayToPublicDate":"2025-12-01T10:13:31","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5232,"text":"Frontiers in Earth Science","onlineIssn":"2296-6463","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Estimation of dynamic geologic CO<sub>2</sub> storage resources in the Illinois Basin, including effects of brine extraction, anisotropy, and hydrogeologic heterogeneity","title":"Estimation of dynamic geologic CO2 storage resources in the Illinois Basin, including effects of brine extraction, anisotropy, and hydrogeologic heterogeneity","docAbstract":"<p><span>Since the vast majority of carbon dioxide (CO</span><sub>2</sub><span>) storage resources in the United States are in deep saline aquifers, optimizing the use of these saline storage resources could be crucial for efficient development of geologic CO</span><sub>2</sub><span>&nbsp;storage (GCS) resources and basin- or larger-scale deployment of GCS in the country. Maximum CO</span><sub>2</sub><span>&nbsp;injection rates can be enhanced by extracting brine from the CO</span><sub>2</sub><span>&nbsp;storage unit. However, disposal of the extracted brine is both a technological and economic challenge. The lowest-cost option would likely be reinjection of the extracted brine into another formation above or below the CO</span><sub>2</sub><span>&nbsp;storage unit. Therefore, it is important to estimate brine injectivity as it will constrain the potential to increase CO</span><sub>2</sub><span>&nbsp;injectivity at an injection site that has access to multiple geologic storage units where either CO</span><sub>2</sub><span>&nbsp;or brine can be injected. Using a simulation-optimization framework, coupled with a non-isothermal, multiphase CO</span><sub>2</sub><span>-water-salt equation-of-state module, we developed a computationally efficient method for evaluating optimization of simultaneous CO</span><sub>2</sub><span>&nbsp;injection, brine extraction, and brine (re)injection at hypothetical injection sites deployed across a geologic basin. The Illinois basin is ideal for testing our methodology because it contains multiple geologic storage units with seals in between them to isolate injection of CO</span><sub>2</sub><span>&nbsp;in one unit from interfering with the injection of either brine or CO</span><sub>2</sub><span>&nbsp;in another unit above or below it. In addition, we investigated the relative effects of variation in key geologic parameters as well as two reservoir structures (hydrogeologic heterogeneity/anisotropy and homogeneity/isotropy) on CO</span><sub>2</sub><span>&nbsp;injectivities and enhancement of CO</span><sub>2</sub><span>&nbsp;injectivity through extracting brine. Results suggest that permeability, depth, and especially thickness of the storage unit could be the most influential parameters determining CO</span><sub>2</sub><span>&nbsp;injectivity. They also suggest that only injecting CO</span><sub>2</sub><span>&nbsp;into the storage unit with the greatest injectivity, enhancing that unit’s injectivity by extracting brine, and disposing of the produced brine in other suitable units could maximize total CO</span><sub>2</sub><span>&nbsp;injectivity in limited regions of the basin. At the majority of simulated injection sites, however, we found that injecting CO</span><sub>2</sub><span>&nbsp;into all of the accessible and suitable storage units was more likely to maximize the CO</span><sub>2</sub><span>&nbsp;storage resource.</span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/feart.2025.1639952","usgsCitation":"Plampin, M.R., Anderson, S.T., Finsterle, S., and Wiens, A.M., 2025, Estimation of dynamic geologic CO2 storage resources in the Illinois Basin, including effects of brine extraction, anisotropy, and hydrogeologic heterogeneity: Frontiers in Earth Science, v. 13, 1639952, 18 p., https://doi.org/10.3389/feart.2025.1639952.","productDescription":"1639952, 18 p.","ipdsId":"IP-177734","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":497113,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2025.1639952","text":"Publisher Index Page"},{"id":497059,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Kentucky, Indiana","otherGeospatial":"Illinois Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -91.66105038187163,\n              41.36771728120675\n            ],\n            [\n              -91.66105038187163,\n              37.13535863641968\n            ],\n            [\n              -84.79728409671057,\n              37.13535863641968\n            ],\n            [\n              -84.79728409671057,\n              41.36771728120675\n            ],\n            [\n              -91.66105038187163,\n              41.36771728120675\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"13","noUsgsAuthors":false,"publicationDate":"2025-12-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Plampin, Michelle R. 0000-0003-4068-5801","orcid":"https://orcid.org/0000-0003-4068-5801","contributorId":363249,"corporation":false,"usgs":false,"family":"Plampin","given":"Michelle","middleInitial":"R.","affiliations":[{"id":86662,"text":"USGS, Geology, Energy & Minerals Science Center, DRP not in active directory","active":true,"usgs":false}],"preferred":false,"id":951354,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Steven T. 0000-0003-3481-3424 sanderson@usgs.gov","orcid":"https://orcid.org/0000-0003-3481-3424","contributorId":2532,"corporation":false,"usgs":true,"family":"Anderson","given":"Steven","email":"sanderson@usgs.gov","middleInitial":"T.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":951355,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Finsterle, Stefan","contributorId":299677,"corporation":false,"usgs":false,"family":"Finsterle","given":"Stefan","email":"","affiliations":[{"id":64929,"text":"Finsterle GeoConsulting, Inc.","active":true,"usgs":false}],"preferred":false,"id":951356,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wiens, Ashton M. 0000-0002-7030-0602","orcid":"https://orcid.org/0000-0002-7030-0602","contributorId":271176,"corporation":false,"usgs":true,"family":"Wiens","given":"Ashton","email":"","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951357,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70273720,"text":"70273720 - 2025 - Detecting hidden sedimentary geothermal systems in the Upper Colorado River Basin","interactions":[],"lastModifiedDate":"2026-01-26T16:15:03.676695","indexId":"70273720","displayToPublicDate":"2025-12-01T09:57:32","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Detecting hidden sedimentary geothermal systems in the Upper Colorado River Basin","docAbstract":"Geothermal resources exist in sedimentary rock where circulation of water for efficient extraction or storage of heat is possible. Except in rare instances where hot water is expressed at the land surface, sedimentary geothermal resources are hidden, so the identification of these systems is optimally accomplished using predictive subsurface modeling.  An integrated approach using detailed paleogeographic interpretations, subsurface geologic mapping, and numerical modeling has produced regional geologic and temperature models for the Upper Colorado River Basin, a large watershed in central North America that contains many sedimentary basins. These models identify areas of hidden sedimentary geothermal resource potential in low temperature (<90°C), moderate temperature (90–150°C), and high temperature (>150°C) fairways across the study area. These models incorporate maps of key horizons in outcrop and the subsurface to create a robust structural framework that can be used to target favorable geology for natural or engineered permeability. This framework is populated with lithologies derived from detailed palaeogeographical maps and over 40,000 bottom hole temperature (BHT) values were used to create a calibrated three-dimensional (3D) temperature model across the region. The resulting maps serve as a regional sedimentary geothermal play fairway screening tool for evaluating different grades of sedimentary geothermal resources and for identifying areas of interest where more detailed, prospect-scale studies can be undertaken.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Using the Earth to save the Earth","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Geothermal Resources Council","usgsCitation":"Gardner, R., Birdwell, J.E., Sweetkind, D., Sullivan, P., Eaton, M., Petermann, H., Clement, A., Hagadorn, J., and Woda, J., 2025, Detecting hidden sedimentary geothermal systems in the Upper Colorado River Basin, <i>in</i> Using the Earth to save the Earth, v. 49, p. 1512-1525.","productDescription":"14 p.","startPage":"1512","endPage":"1525","ipdsId":"IP-180873","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":499022,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":499003,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.geothermal-library.org/index.php?mode=pubs&action=view&record=1035309"}],"country":"United States","state":"Arizona, Colorado, New Mexico, Utah, Wyoming","otherGeospatial":"Upper Colorado River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -105,\n              43.25\n            ],\n            [\n              -113,\n              43.25\n            ],\n            [\n              -113,\n              34\n            ],\n            [\n              -105,\n              34\n            ],\n            [\n              -105,\n              43.25\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"49","noUsgsAuthors":false,"publicationDate":"2025-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Gardner, Rand 0000-0001-8711-5334","orcid":"https://orcid.org/0000-0001-8711-5334","contributorId":316831,"corporation":false,"usgs":true,"family":"Gardner","given":"Rand","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":954432,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":954433,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sweetkind, Donald S. 0000-0003-0892-4796","orcid":"https://orcid.org/0000-0003-0892-4796","contributorId":210808,"corporation":false,"usgs":true,"family":"Sweetkind","given":"Donald S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":954434,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":954435,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eaton, Melia","contributorId":365598,"corporation":false,"usgs":false,"family":"Eaton","given":"Melia","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":954436,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Petermann, Holger","contributorId":365599,"corporation":false,"usgs":false,"family":"Petermann","given":"Holger","affiliations":[{"id":27833,"text":"Denver Museum of Nature and Science","active":true,"usgs":false}],"preferred":false,"id":954437,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Clement, Annaka","contributorId":365600,"corporation":false,"usgs":false,"family":"Clement","given":"Annaka","affiliations":[{"id":27833,"text":"Denver Museum of Nature and Science","active":true,"usgs":false}],"preferred":false,"id":954438,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hagadorn, James","contributorId":365601,"corporation":false,"usgs":false,"family":"Hagadorn","given":"James","affiliations":[{"id":27833,"text":"Denver Museum of Nature and Science","active":true,"usgs":false}],"preferred":false,"id":954439,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Woda, Joshua C. 0000-0002-2932-8013","orcid":"https://orcid.org/0000-0002-2932-8013","contributorId":290172,"corporation":false,"usgs":true,"family":"Woda","given":"Joshua","middleInitial":"C.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":954440,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70274537,"text":"70274537 - 2025 - What is the (real) rate of soil health practice adoption? Making sense of three data sources","interactions":[],"lastModifiedDate":"2026-04-01T14:57:42.259853","indexId":"70274537","displayToPublicDate":"2025-12-01T09:53:26","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2456,"text":"Journal of Soil and Water Conservation","active":true,"publicationSubtype":{"id":10}},"title":"What is the (real) rate of soil health practice adoption? Making sense of three data sources","docAbstract":"<p><span>Conservation stakeholders looking to quantify the impact of their investments to increase soil health practice adoption over time often face challenges in interpreting practice adoption data due to discrepancies in language and results among data sources. Similarly, efforts to estimate environmental outcomes of practice adoption, such as water quality and greenhouse gas emissions, can vary depending on different practice adoption input data. To help make sense of different adoption data sources, we compared county-level adoption data for winter cover crops (WCC), no-till (NT), and reduced tillage (RT) in three areas of the United States with contrasting climates and production systems: central Illinois (CIL), southern Illinois (SIL), and western New York (WNY). We analyzed data available during 2015 through 2022 from the Operational Tillage Information System (OpTIS, remote sensing), US Census of Agriculture (AgCensus, a farmer survey), and, specifically in Illinois, the Illinois Soil Conservation Transect Survey (Transect, a roadside survey). The magnitude of differences between the datasets depended on the practice and geographic location. For example, OpTIS and AgCensus tillage data were much more similar in Illinois (average difference of less than 4 percentage points) compared to New York (average differences of 20 percentage points). Similarly, there was less variability and smaller differences between OpTIS and AgCensus WCC data in Illinois compared to WNY. AgCensus tended to report lower WCC adoption for Illinois and greater adoption in WNY compared to OpTIS. All data sources agreed that the rate of change in tillage practices is slow (mainly –1% to 1%) and that adoption of WCC is low (assuming linear growth, it could take nearly a century to reach 50% WCC adoption in CIL). Differences among the datasets were attributed to definitional inconsistencies for RT and NT and how WCC data were acquired. For example, the AgCensus asks if a WCC was planted, whereas OpTIS and Transect evaluate the presence of a standing WCC. Data sources also reflect different time periods (calendar years or crop years) and types of cropland assessed (corn [</span><i>Zea mays</i><span>&nbsp;L.], soybean [</span><i>Glycine max</i><span>&nbsp;{L.} Merr.], or all cropland). We propose two recommendations to improve interpretation and consistency: (1) a working group to harmonize definitions and protocols and develop educational materials for data users, and (2) a research effort that integrates different adoption data types and produces publicly available adoption data at HUC-10 and county scales. Such activities could help improve data access and utility for evidence-based conservation decision-making and enhance the accuracy of environmental models that rely on adoption data as input.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00224561.2025.2580218","usgsCitation":"McGill, B.M., Hively, W.D., Puntel, L.A., Shriver, J., Thieme, A.N., Manter, D.K., and Moore, J.M., 2025, What is the (real) rate of soil health practice adoption? Making sense of three data sources: Journal of Soil and Water Conservation, v. 80, no. 6, p. 724-733, https://doi.org/10.1080/00224561.2025.2580218.","productDescription":"10 p.","startPage":"724","endPage":"733","ipdsId":"IP-172017","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":501927,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"80","issue":"6","noUsgsAuthors":false,"publicationDate":"2026-01-27","publicationStatus":"PW","contributors":{"authors":[{"text":"McGill, Bonnie M.","contributorId":368946,"corporation":false,"usgs":false,"family":"McGill","given":"Bonnie","middleInitial":"M.","affiliations":[{"id":87675,"text":"American Farmland Trust","active":true,"usgs":false}],"preferred":false,"id":958154,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hively, W. Dean 0000-0002-5383-8064","orcid":"https://orcid.org/0000-0002-5383-8064","contributorId":201565,"corporation":false,"usgs":true,"family":"Hively","given":"W.","email":"","middleInitial":"Dean","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958156,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Puntel, Laila A.","contributorId":368947,"corporation":false,"usgs":false,"family":"Puntel","given":"Laila","middleInitial":"A.","affiliations":[{"id":87676,"text":"Syngenta Group","active":true,"usgs":false}],"preferred":false,"id":958155,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shriver, John","contributorId":368948,"corporation":false,"usgs":false,"family":"Shriver","given":"John","affiliations":[{"id":87677,"text":"Regrow","active":true,"usgs":false}],"preferred":false,"id":958157,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thieme, Alison N.","contributorId":368949,"corporation":false,"usgs":false,"family":"Thieme","given":"Alison","middleInitial":"N.","affiliations":[{"id":87678,"text":"USDA-ARS-SASL","active":true,"usgs":false}],"preferred":false,"id":958158,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Manter, Daniel K.","contributorId":368950,"corporation":false,"usgs":false,"family":"Manter","given":"Daniel","middleInitial":"K.","affiliations":[{"id":87679,"text":"USDA-ARS-SMSBR","active":true,"usgs":false}],"preferred":false,"id":958159,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Moore, Jennifer M.","contributorId":368951,"corporation":false,"usgs":false,"family":"Moore","given":"Jennifer","middleInitial":"M.","affiliations":[{"id":87680,"text":"USDA-ARS-FSCRU","active":true,"usgs":false}],"preferred":false,"id":958160,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70273263,"text":"70273263 - 2025 - The continued decline of the Palila (Loxioides bailleui) on Mauna Kea, Island of Hawaiʻi","interactions":[],"lastModifiedDate":"2025-12-29T15:58:04.83704","indexId":"70273263","displayToPublicDate":"2025-12-01T09:52:29","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":947,"text":"Avian Conservation and Ecology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The continued decline of the Palila (<i>Loxioides bailleui</i>) on Mauna Kea, Island of Hawaiʻi","title":"The continued decline of the Palila (Loxioides bailleui) on Mauna Kea, Island of Hawaiʻi","docAbstract":"<p><span>Palila (</span><i>Loxioides bailleui</i><span>) are critically endangered Hawaiian honeycreepers specializing on māmane (</span><i>Sophora chrysophylla</i><span>) seeds and restricted to Mauna Kea volcano on the Island of Hawaiʻi. Recently, the population was estimated to decline by 89% between 1998 and 2021, despite decades of ungulate removal, fence construction, māmane regeneration, fire suppression, and predator control. To inform managers with the most recent update on the status and trends of the Palila population, we analyzed annual bird survey data collected using point-transect distance sampling since 1998, including new annual survey data from 2022, 2023, and 2024. Prior to analysis, we predicted the population trajectory would change between 2021 and 2024 because of continued management actions promoting habitat recovery. We used distance sampling, log-linear regression, and state-space modeling to produce the new estimates and analyze trends across the time series. The 2022 population estimate was 367 to 742 birds (95% confidence interval; point estimate: 545), the lowest in recorded history. The 2023 and 2024 estimates of 374 to 842 birds (point estimate: 596) and 412 to 970 birds (point estimate: 666) were the second and third lowest in our time series, respectively. Our estimates for years before 2022 show population fluctuations between 4000 to 6800 birds from 1998 to 2005, then a steep decline through 2010. For the next decade, abundance fluctuated around 1000 birds, before declining again in 2021 to less than 700 birds. From 1998 to 2024, the population declined by more than 90%, or 205 birds per year, with 100% statistical support for an overall downward trend, despite significant management efforts and research. The greatest threats facing the Palila, if familiar, are not being eliminated swiftly enough to promote their recovery. The currently small and range-limited population is vulnerable to future climate-related events such as drought and fire. Continued monitoring can help to assess the response of Palila to adaptive management actions and changing environmental conditions.</span></p>","language":"English","publisher":"Resilience Alliance","doi":"10.5751/ACE-02920-200210","usgsCitation":"Hunt, N., Asing, C.K., Nietmann, L., Banko, P.C., and Camp, R.J., 2025, The continued decline of the Palila (Loxioides bailleui) on Mauna Kea, Island of Hawaiʻi: Avian Conservation and Ecology, v. 20, no. 2, 10, 18 p., https://doi.org/10.5751/ACE-02920-200210.","productDescription":"10, 18 p.","ipdsId":"IP-177477","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":498272,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/ace-02920-200210","text":"Publisher Index Page"},{"id":498146,"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              -155.62,\n              19.84\n            ],\n            [\n              -155.62,\n              19.736678155129184\n            ],\n            [\n              -155.4741502151662,\n              19.736678155129184\n            ],\n            [\n              -155.4741502151662,\n              19.84\n            ],\n            [\n              -155.62,\n              19.84\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"20","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Hunt, Noah","contributorId":355564,"corporation":false,"usgs":false,"family":"Hunt","given":"Noah","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":952938,"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":952939,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nietmann, Lindsey","contributorId":331548,"corporation":false,"usgs":false,"family":"Nietmann","given":"Lindsey","email":"","affiliations":[{"id":56397,"text":"State of Hawai‘i, Division of Forestry and Wildlife","active":true,"usgs":false}],"preferred":false,"id":952940,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":952941,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":952942,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70272168,"text":"70272168 - 2025 - Estimation of the accessible and useful resource base for electric-grade enhanced geothermal systems (EGS) resources of the Great Basin, USA","interactions":[],"lastModifiedDate":"2026-01-16T15:45:31.50898","indexId":"70272168","displayToPublicDate":"2025-12-01T09:43:12","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Estimation of the accessible and useful resource base for electric-grade enhanced geothermal systems (EGS) resources of the Great Basin, USA","docAbstract":"Scientists with the U.S. Geological Survey (USGS) recently completed a provisional assessment of the electric-grade geothermal resources associated with the low-permeability geologic formations of the Great Basin, USA, where resources are assumed to be accessible using enhanced geothermal systems (EGS) technologies (i.e., the engineering of sufficient permeability to facilitate efficient heat extraction).  This assessment required estimation of the accessible resource base (electric-grade heat [>90ºC] at depths where drilling and stimulation are deemed achievable using current technology) and useful resource (heat that can be extracted from the accessible region). Electric-grade heat can be estimated from existing temperature models. The accessible resource base can be estimated as the electric-grade heat that exists at depths shallower than 6 km based on the limitations of current drilling and stimulation technologies, along with evidence for sustained natural fracture conductivity at depth. The useful part of the accessible heat can be estimated as the product of three efficiencies and factors:  the heat extraction efficiency, the viable geology factor, and the reservoir spacing efficiency.  The accessible and useful parts of the resource can be estimated in units of heat, or in units of electric power using an electrical conversion efficiency, which is a function of resource temperature.  We also estimate the ranges for each of the efficiencies and describe the motivations behind the choice of best estimates used for the recent assessment.  An analytic solution is provided for the useful resource above any depth (in units of electric power), where efficiency estimation assumes nearly steady heat extraction rates that cool reservoirs to 90ºC over 30 years of power generation.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Using Earth to save the Earth","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Geothermal Resource Council","usgsCitation":"Burns, E., Frash, L.P., and Williams, C.F., 2025, Estimation of the accessible and useful resource base for electric-grade enhanced geothermal systems (EGS) resources of the Great Basin, USA, <i>in</i> Using Earth to save the Earth, v. 49, p. 2020-2034.","productDescription":"15 p.","startPage":"2020","endPage":"2034","ipdsId":"IP-178656","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":498744,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":498743,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.geothermal-library.org/index.php?mode=pubs&action=view&record=1035334"}],"country":"United States","otherGeospatial":"Great Basin","volume":"49","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Burns, Erick R. 0000-0002-1747-0506","orcid":"https://orcid.org/0000-0002-1747-0506","contributorId":225412,"corporation":false,"usgs":true,"family":"Burns","given":"Erick R.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":950291,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frash, Luke P. 0000-0002-5424-4698","orcid":"https://orcid.org/0000-0002-5424-4698","contributorId":362313,"corporation":false,"usgs":false,"family":"Frash","given":"Luke","middleInitial":"P.","affiliations":[{"id":48588,"text":"Los Alamos National Lab","active":true,"usgs":false}],"preferred":false,"id":950292,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, Colin F. 0000-0003-2196-5496 colin@usgs.gov","orcid":"https://orcid.org/0000-0003-2196-5496","contributorId":274,"corporation":false,"usgs":true,"family":"Williams","given":"Colin","email":"colin@usgs.gov","middleInitial":"F.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":950293,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70272571,"text":"sir20255097 - 2025 - Quality of groundwater used for domestic supply in the Gilroy-Hollister basin and surrounding areas, California, 2022","interactions":[],"lastModifiedDate":"2026-04-27T18:05:33.054784","indexId":"sir20255097","displayToPublicDate":"2025-12-01T09:37:12","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":"2025-5097","displayTitle":"Quality of Groundwater Used for Domestic Supply in the Gilroy-Hollister Basin and Surrounding Areas, California, 2022","title":"Quality of groundwater used for domestic supply in the Gilroy-Hollister basin and surrounding areas, California, 2022","docAbstract":"<p>More than 2&nbsp;million Californians rely on groundwater from domestic wells for drinking-water supply. This report summarizes a 2022 California Groundwater Ambient Monitoring and Assessment Priority Basin Project (GAMA-PBP) water-quality survey of 33 domestic and small-system drinking-water supply wells in the Gilroy-Hollister Valley groundwater basin and the surrounding areas, where more than 20,000 residents are estimated to utilize privately owned domestic wells. The study area includes the Llagas subbasin in the north, the North San Benito subbasin in the south, and the surrounding uplands. The study was focused on groundwater resources used for domestic drinking-water supply, which are mostly drawn from shallower parts of aquifer systems rather than those of groundwater resources used for public drinking-water supply in the same area. This assessment characterized the quality of ambient groundwater in the aquifer before filtration or treatment, rather than the quality of drinking water delivered to the tap.</p><p>To provide context, the measured concentrations of constituents in groundwater were compared to Federal and California State regulatory and non-regulatory benchmarks for drinking-water quality. A grid-based method was used to estimate the areal proportions of groundwater resources used for domestic drinking wells that have water-quality constituents present at high concentrations (above the benchmark), moderate concentrations (between one-half of the benchmark and the benchmark for inorganic constituents, or between one-tenth of the benchmark and the benchmark for organic constituents), and low concentrations (less than one-half or one-tenth the benchmark for inorganic and organic constituents, respectively). This method provides statistically representative results at the study-area scale and permits comparisons to other GAMA-PBP study areas. In the study area, inorganic constituents in groundwater were greater than regulatory benchmarks (U.S.&nbsp;Environmental Protection Agency [EPA] or State of California maximum contaminant levels [MCLs]) for public drinking-water quality in 24&nbsp;percent of domestic groundwater resources. The inorganic constituents present at concentrations greater than MCLs for drinking water were nitrate (as nitrogen), barium, chromium, and selenium. Total dissolved solids (TDS) or manganese were present at concentrations greater than the secondary maximum contaminant levels (SMCLs) that the State of California uses as aesthetic-based benchmarks in 48&nbsp;percent of domestic groundwater resources. No volatile organic compounds or pesticide constituents were present at concentrations greater than regulatory benchmarks. Total coliform bacteria and enterococci were detected in 4&nbsp;percent of domestic groundwater resources. Per- and polyfluoroalkyl substances (PFAS) were detected in 19&nbsp;percent of domestic groundwater resources, and 10&nbsp;percent had concentrations greater than recently enacted (April 2024) EPA MCLs.</p><p>Physical and chemical factors from natural and anthropogenic sources that could affect the groundwater quality were evaluated using results from statistical testing of associations between constituent concentrations and potential explanatory variables. In this study, relevant physical factors include well construction characteristics, groundwater age, site proximity to groundwater recharge or discharge zones, and potential sources of contamination. Relevant chemical factors include the initial chemistry of the recharge water, the mineralogy of the aquifer sediments, and the subsequent shifts in chemistry as biologic and geologic reactions alter groundwater in the subsurface.</p><p>Nitrate concentrations were correlated to agricultural land use, distance from the boundary of the Gilroy-Hollister Valley groundwater basin, and the proportion of modern (post-1950s) water captured by the well. Denitrification under anoxic redox conditions can mitigate some nitrate derived from fertilizer application. Total dissolved solids primarily were derived from water-rock interactions with soils and aquifer materials in the study area, but there were high concentrations where agricultural practices contributed additional TDS. Mineralogy of aquifer sediments and rocks also affect barium, selenium, boron, and chromium concentrations in the Gilroy-Hollister Valley groundwater basin. PFAS were positively correlated with urban land use and the proportion of modern water captured by the well.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255097","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Faulkner, K.E., and Jurgens, B.C., 2025, Quality of groundwater used for domestic supply in the Gilroy-Hollister basin and surrounding areas, California, 2022: U.S. Geological Survey Scientific Investigations Report 2025–5097, 26 p., https://doi.org/10.3133/sir20255097.","productDescription":"viii, 26 p.","onlineOnly":"Y","ipdsId":"IP-160699","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":496804,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5097/sir20255097.XML"},{"id":496803,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5097/images"},{"id":496801,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5097/sir20255097.pdf","text":"Report","size":"6.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5097"},{"id":496800,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5097/coverthb.jpg"},{"id":496802,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255097/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5097"},{"id":497802,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119048.htm"}],"country":"United States","state":"California","otherGeospatial":"Gilroy-Hollister basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121.61037451371827,\n              37.22507246909019\n            ],\n            [\n              -121.7786749960862,\n              37.08414386069212\n            ],\n            [\n              -121.42503094452843,\n              36.75628159886837\n            ],\n            [\n              -121.29294616762297,\n              36.61961329116167\n            ],\n            [\n              -121.07884238942088,\n              36.64012907347609\n            ],\n            [\n              -121.29720693932853,\n              36.95316849961171\n            ],\n            [\n              -121.61037451371827,\n              37.22507246909019\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_ca@usgs.gov\" data-mce-href=\"mailto:dc_ca@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/california-water-science-center\" data-mce-href=\"https://www.usgs.gov/centers/california-water-science-center\">California Water Science Center</a><br>U.S. Geological Survey<br>6000 J Street, Placer Hall<br>Sacramento, California 95819</p>","tableOfContents":"<ul><li>Introduction</li><li>Hydrologic Setting</li><li>Methods for Evaluating Groundwater Quality</li><li>Overview of Water-Quality Results</li><li>Factors that Affect Groundwater Quality</li><li>Summary</li><li>References Cited</li></ul>","publishedDate":"2025-12-01","noUsgsAuthors":false,"plainLanguageSummary":"<p>The U.S. Geological Survey works with the California State Water Resources Control Boards’ Groundwater Ambient Monitoring and Assessment Program to study the quality of groundwater used for&nbsp;<span style=\"mso-spacerun: yes;\" data-mce-style=\"mso-spacerun: yes;\">&nbsp;</span>drinking-water supplies across California. This report examines the quality of groundwater collected from 33 private domestic wells in the Gilroy-Hollister Valley groundwater basin and surrounding area in California’s Central Coast region. Groundwater samples were analyzed for human-made and naturally occurring substances that can be found dissolved in groundwater. They were also analyzed for geochemical tracers that can be used to help determined the age of the groundwater and processes affecting the concentrations of dissolved constituents. The water-quality data were compared to Federal and State benchmarks that are applied to public drinking water, such as regulatory maximum contaminant levels (MCLs). Nitrate was detected at concentrations greater than its Federal MCL benchmark in 17 percent of the groundwater samples. Nitrate concentrations above natural background levels were associated with greater agricultural land use near the well, wells tapping a higher proportion of younger groundwater, and absence of anoxic conditions that promote degradation of nitrate. No volatile organic compounds or pesticide constituents were detected at concentrations greater than MCLs, however per- and polyfluoroalkyl substances (PFAS) were detected at concentrations greater than the Federal MCLs enacted in April 2024 in about 10 percent of the groundwater samples. PFAS are used in many consumer products and industrial processes. Occurrences of these elevated concentrations of PFAS were not associated with known potential sources of PFAS contamination to groundwater but were positively correlated with urban land use and the proportion of younger groundwater tapped by the well. Total dissolved solids (TDS, a measure of salinity) were detected at concentrations about the State nonregulatory upper secondary MCL in 24 percent of the groundwater samples. TDS is primarily derived from natural interactions between water and aquifer materials although agricultural practices may contribute additional TDS is some areas. About 20,000 residents in the Gilroy-Hollister area, and more than 2 million people in California, use private domestic wells for drinking water. Therefore, assessing the quality of groundwater used by domestic wells and understanding the factors affecting that quality is important for protecting public health.</p>","publicationDate":"2025-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Faulkner, Kirsten E. 0000-0003-1628-2877","orcid":"https://orcid.org/0000-0003-1628-2877","contributorId":362930,"corporation":false,"usgs":false,"family":"Faulkner","given":"Kirsten","middleInitial":"E.","affiliations":[{"id":68550,"text":"California Water Science Center","active":true,"usgs":false}],"preferred":false,"id":950836,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jurgens, Bryant C. 0000-0002-1572-113X bjurgens@usgs.gov","orcid":"https://orcid.org/0000-0002-1572-113X","contributorId":127839,"corporation":false,"usgs":true,"family":"Jurgens","given":"Bryant C.","email":"bjurgens@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":950837,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70273375,"text":"70273375 - 2025 - Environmental DNA monitoring of invasive Central American boas in St. Croix at Salt River Bay National Historical Park and Ecological Preserve (SARI)","interactions":[],"lastModifiedDate":"2026-01-09T15:44:43.191562","indexId":"70273375","displayToPublicDate":"2025-12-01T09:35:32","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":18517,"text":"Science Report","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/SR—2025/367","title":"Environmental DNA monitoring of invasive Central American boas in St. Croix at Salt River Bay National Historical Park and Ecological Preserve (SARI)","docAbstract":"<p><span>Invasive Central American boas (<i>Boa imperator</i>) have established a reproducing population on the western side of St. Croix, U.S. Virgin Islands but prevalence throughout the island is largely unknown. The large snakes threaten endemic and endangered species through competition and predation, jeopardizing island biodiversity. Environmental DNA (eDNA) methods were used to investigate occurrence and focal areas for management efforts in the Salt River Bay National Historical Park and Ecological Preserve (SARI). To validate a previously developed assay, we collected tissue samples and 13 × 60 mL water samples from a captive boa enclosure in St. Croix. We implemented this assay for both a pilot and main field sampling effort. The pilot in December 2023 resulted in analysis of 7 × 60 mL water samples per site from SARI (3 sites) and from the western forests where boas are established (1 site). The main sampling event in July 2024 collected 15 × 60 mL water samples per site within SARI (11 sites) and western forests (4 sites). Pilot sample replicates were filtered individually, while main samples were consolidated into groups, resulting in seven replicates for pilot sites and five replicates for main event sites, totaling 103 environmental samples. eDNA was isolated using a modified phenol-chloroform isolation method to remove PCR inhibitors, and target eDNA was amplified using droplet digital PCR technology. Water samples from the captive boa amplified target eDNA in 12 of 13 samples, indicating assay effectiveness ex-situ. Low concentrations of eDNA (below the 95% limit of detection) were amplified in 4 of 5 sites in the western forest and in 8 of 14 sites within the National Historic Park. Overall, boa eDNA concentrations were consistently low, as expected in water samples targeting a semi-arboreal snake species with a low rate of eDNA shedding. Further optimization of methods could enable recovery of greater eDNA concentrations in future studies. Additional eDNA method testing and ground-truthing may help to improve the assessment of invasive <i>Boa imperator</i> in St. Croix.</span></p>","language":"English","publisher":"National Park Service","doi":"10.36967/2315977","usgsCitation":"Beaver, C., Tays, A.B., Santos, W.F., Harman, M.E., Ewen, K.A., Gwilliam, E.L., and Hunter, M., 2025, Environmental DNA monitoring of invasive Central American boas in St. Croix at Salt River Bay National Historical Park and Ecological Preserve (SARI): Science Report NPS/SR—2025/367, viii, 29 p., https://doi.org/10.36967/2315977.","productDescription":"viii, 29 p.","ipdsId":"IP-174727","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":498507,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Salt River Bay National Historical Park and Ecological Preserve, St. Croix, U.S. Virgin Islands","geographicExtents":"{\n  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,{"id":70273727,"text":"70273727 - 2025 - Geothermal potential of orphan oil and gas wells","interactions":[],"lastModifiedDate":"2026-01-26T15:42:24.150439","indexId":"70273727","displayToPublicDate":"2025-12-01T09:34:07","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Geothermal potential of orphan oil and gas wells","docAbstract":"The United States is estimated to have hundreds of thousands of orphan oil and gas wells. Orphan wells are abandoned wells that are both unremediated and have no responsible operator. While traditionally considered environmental and economic liabilities, orphan oil and gas wells may offer new opportunities in sustainable geothermal energy development. This study evaluates the potential of repurposing orphan wells for geothermal energy production. We analyzed more than 1.4 million bottom-hole temperature (BHT) records from oil and gas well logs to create corrected temperature-depth profiles in a grid across the United States. Total depth values, where available, in documented orphan wells from a U.S. Geological Survey (USGS) database were then correlated to these temperature-depth profiles to estimate a corrected BHT for each orphan well. The orphan wells were then categorized as having low (<90°C), moderate (90–150°C), and high (>150°C) geothermal potential, identifying them as wells in the U.S. that could be used to access geothermal resources. In addition, repurposing these wells could contribute to broader environmental and economic goals, including well remediation, rogue methane emissions reduction, and energy production. This study provides a framework for integrating inactive well inventories with geothermal resource assessments and further highlights the potential for orphan wells to play a transformative role in expanding geothermal energy capacity in the United States.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Using the Earth to save the Earth","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Geothermal Resources Council","usgsCitation":"Gardner, R., Birdwell, J.E., Merrill, M., Wiens, A.M., Haase, K., Gianoutsos, N.J., Lei, U.I., and Sullivan, P., 2025, Geothermal potential of orphan oil and gas wells, <i>in</i> Using the Earth to save the Earth, v. 49, p. 1826-1833.","productDescription":"8 p.","startPage":"1826","endPage":"1833","ipdsId":"IP-180859","costCenters":[{"id":164,"text":"Central Energy Resources Science 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\"properties\": {\n        \"name\": \"United States\"\n      }\n    }\n  ]\n}","volume":"49","noUsgsAuthors":false,"publicationDate":"2025-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Gardner, Rand 0000-0001-8711-5334","orcid":"https://orcid.org/0000-0001-8711-5334","contributorId":316831,"corporation":false,"usgs":true,"family":"Gardner","given":"Rand","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":954450,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":954451,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Merrill, Matthew D. 0000-0003-3766-847X","orcid":"https://orcid.org/0000-0003-3766-847X","contributorId":205698,"corporation":false,"usgs":true,"family":"Merrill","given":"Matthew D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":954452,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wiens, Ashton M. 0000-0002-7030-0602","orcid":"https://orcid.org/0000-0002-7030-0602","contributorId":271176,"corporation":false,"usgs":true,"family":"Wiens","given":"Ashton","email":"","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":954453,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haase, Karl B. 0000-0002-6897-6494 khaase@usgs.gov","orcid":"https://orcid.org/0000-0002-6897-6494","contributorId":205943,"corporation":false,"usgs":true,"family":"Haase","given":"Karl","email":"khaase@usgs.gov","middleInitial":"B.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":954454,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gianoutsos, Nicholas J. 0000-0002-6510-6549 ngianoutsos@usgs.gov","orcid":"https://orcid.org/0000-0002-6510-6549","contributorId":3607,"corporation":false,"usgs":true,"family":"Gianoutsos","given":"Nicholas","email":"ngianoutsos@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":954455,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lei, Uei I.","contributorId":365612,"corporation":false,"usgs":false,"family":"Lei","given":"Uei","middleInitial":"I.","affiliations":[{"id":87166,"text":"OWPO","active":true,"usgs":false}],"preferred":false,"id":954456,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"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":954457,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70272298,"text":"70272298 - 2025 - Preventing overfitting when using tree-based methods for mapping hydrothermal favorability","interactions":[],"lastModifiedDate":"2026-01-16T15:40:22.275487","indexId":"70272298","displayToPublicDate":"2025-12-01T09:32:29","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Preventing overfitting when using tree-based methods for mapping hydrothermal favorability","docAbstract":"Ensemble tree-based algorithms are robust tools for estimating sparsely distributed resources with non-linear dependencies (e.g., hydrothermal systems). These algorithms naturally accommodate the threshold conditions necessary to enable and support hydrothermal systems (e.g., having sufficient heat and permeability) and are simpler than many other non-linear machine learning strategies (e.g., artificial neural networks), which is an advantage when working with few labeled examples from which to learn. In previous work, we used eXtreme Gradient Boosting (XGBoost) to produce regional prediction and uncertainty maps of hydrothermal favorability; however, recent studies suggest that, even when properly applied, XGBoost has some risk of overfitting when there are few labeled examples from which to learn.\n\nTo evaluate overfitting when constructing hydrothermal favorability maps with tree-based methods, we compare XGBoost with Extremely Randomized Trees (ExtraTrees), another ensemble tree-based algorithm that has the potential to underfit when using few labeled examples. We hold all other modeling parameters constant, resulting in two contrasting favorability maps of conventional geothermal resources for the Great Basin. Our results indicate that ExtraTrees demonstrably reduces overfitting compared with XGBoost. After considering overall performance, we conclude that ExtraTrees provides a more suitable modeling approach than XGBoost for the purposes of conventional hydrothermal resource assessments.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Using Earth to save the Earth","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Geothermal Resources Council","usgsCitation":"Mordensky, S.P., Burns, E., Lipor, J., and DeAngelo, J., 2025, Preventing overfitting when using tree-based methods for mapping hydrothermal favorability, <i>in</i> Using Earth to save the Earth, v. 49, p. 179-203.","productDescription":"25 p.","startPage":"179","endPage":"203","ipdsId":"IP-180956","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":498742,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":498741,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.geothermal-library.org/index.php?mode=pubs&action=view&record=1035236"}],"volume":"49","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mordensky, Stanley Paul 0000-0001-8607-303X","orcid":"https://orcid.org/0000-0001-8607-303X","contributorId":292014,"corporation":false,"usgs":true,"family":"Mordensky","given":"Stanley","email":"","middleInitial":"Paul","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":950718,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burns, Erick R. 0000-0002-1747-0506","orcid":"https://orcid.org/0000-0002-1747-0506","contributorId":225412,"corporation":false,"usgs":true,"family":"Burns","given":"Erick R.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":950719,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lipor, John 0000-0002-0990-5493","orcid":"https://orcid.org/0000-0002-0990-5493","contributorId":292015,"corporation":false,"usgs":false,"family":"Lipor","given":"John","email":"","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":950720,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeAngelo, Jacob 0000-0002-7348-7839 jdeangelo@usgs.gov","orcid":"https://orcid.org/0000-0002-7348-7839","contributorId":237879,"corporation":false,"usgs":true,"family":"DeAngelo","given":"Jacob","email":"jdeangelo@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":950721,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70273143,"text":"70273143 - 2025 - Pre-eruptive characteristics of “suspect” silicic magmas in Carlin-type Au-forming systems","interactions":[],"lastModifiedDate":"2025-12-16T15:37:04.093312","indexId":"70273143","displayToPublicDate":"2025-12-01T09:31:24","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":738,"text":"American Mineralogist","active":true,"publicationSubtype":{"id":10}},"title":"Pre-eruptive characteristics of “suspect” silicic magmas in Carlin-type Au-forming systems","docAbstract":"<p><span>World-class Carlin-type Au deposits hosted in sedimentary rock were formed when profuse Eocene silicic magmatism swept across northern Nevada in response to arc migration. Carlin-type Au deposits formed along with porphyry/skarn Cu-Mo-W-Au deposits, epithermal Ag-Au deposits, and distal disseminated Ag-Au deposits. But unlike these other Au-bearing deposits that have clear associations with igneous intrusions, Carlin-type ore deposits appear to have formed distant from concealed plutons, and their origin remains controversial. Despite decades of abundant geophysical, geochronological, and geochemical studies suggesting the involvement of magmas, concrete evidence for magmatic involvement is still lacking. Consequently, the involvement of contemporaneous igneous systems remains inferred based on age, proximity, and variable isotopic, geochemical, and geophysical clues. A recent synthesis of deposit models postulates that Carlin-type Au deposits are intrusion-related, but that the causative magmas reside deeper (∼6–12&nbsp;km) than in typical porphyry and peripheral systems (∼3–5&nbsp;km), meaning that Carlin-type deposits are perhaps more distal expressions of igneous intrusions. We investigate a collection of “suspect” magmatic systems over a ∼7&nbsp;m.y. timespan (∼41–34 Ma) that are contemporaneous with and near known Carlin-type ore deposits. We report results of a multifaceted array of in situ geochemical analyses (FTIR, EMP, SHRIMP-RG, LA-ICP-MS) of quartz-hosted melt inclusions, biotite, and quartz to better characterize the pre-eruptive characteristics of these magmas. We also report results of thermobarometry and thermodynamic phase equilibria modeling to help place constraints on magmatic reservoir depths and processes. Rather than a single “flavor” of silicic magma, we observe a surprisingly broad compositional spectrum of rhyolites, with one end of the spectrum exhibiting more arc-like (I-type) characteristics and the other end displaying more post-subduction, thick-crust extensional (A-type) characteristics. This broad compositional spectrum suggests a more complex picture of silicic crustal magmatism operating over a narrow span of time during slab rollback. Despite this spectrum, magmatic systems in this study are consistently ferroan and generally peraluminous, which we interpret as an expression of the relatively elevated geotherm at the time and incorporation of variable amounts of highly peraluminous metasedimentary crustal components. The silicic magma spectrum encompasses a range of mineralization associations, including subduction-related Cu-Mo-W-Au-Ag and post-subduction, thick-crust extensional rare-metal Mo-Sn-W-F-Be-Ag-Au, consistent with the prolific and diverse array of ore deposits that formed during this time. Carlin-type Au deposition appears to be associated with nearly the entire magmatic spectrum. This apparent indifference to silicic magma “flavor” would seem to imply that if magmas are involved in Carlin-type Au deposit genesis, they perhaps do not need to be compositionally specialized and/or possibly are only relevant as heat sources driving circulation to remobilize and redistribute metals.</span></p>","language":"English","publisher":"Mineralogical Society of America","doi":"10.2138/am-2024-9372","usgsCitation":"Mercer, C.N., Roberge, J., Khoury, R., and Hofstra, A.H., 2025, Pre-eruptive characteristics of “suspect” silicic magmas in Carlin-type Au-forming systems: American Mineralogist, v. 110, no. 2, p. 1898-1918, https://doi.org/10.2138/am-2024-9372.","productDescription":"21 p.","startPage":"1898","endPage":"1918","ipdsId":"IP-097749","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":497571,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -120,\n              42\n            ],\n            [\n              -120,\n              38\n            ],\n            [\n              -114,\n              38\n            ],\n            [\n              -114,\n              42\n            ],\n            [\n              -120,\n              42\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"110","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Mercer, Celestine N. 0000-0001-8359-4147 cmercer@usgs.gov","orcid":"https://orcid.org/0000-0001-8359-4147","contributorId":4006,"corporation":false,"usgs":true,"family":"Mercer","given":"Celestine","email":"cmercer@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":952438,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roberge, Julie","contributorId":152268,"corporation":false,"usgs":false,"family":"Roberge","given":"Julie","email":"","affiliations":[{"id":18893,"text":"Instituto Politecnico Nacional, ESIA-Ticoman","active":true,"usgs":false}],"preferred":false,"id":952439,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Khoury, Regina Marie 0000-0003-2421-986X","orcid":"https://orcid.org/0000-0003-2421-986X","contributorId":294769,"corporation":false,"usgs":true,"family":"Khoury","given":"Regina Marie","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":952440,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hofstra, Albert H. 0000-0002-2450-1593 ahofstra@usgs.gov","orcid":"https://orcid.org/0000-0002-2450-1593","contributorId":1302,"corporation":false,"usgs":true,"family":"Hofstra","given":"Albert","email":"ahofstra@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":952441,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70273724,"text":"70273724 - 2025 - Exploring Martian geothermal and liquid water potential with basin modeling","interactions":[],"lastModifiedDate":"2026-01-26T15:33:39.007527","indexId":"70273724","displayToPublicDate":"2025-12-01T09:27:01","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Exploring Martian geothermal and liquid water potential with basin modeling","docAbstract":"<p>Assessing the potential for geothermal energy and liquid water presence in the Martian subsurface is crucial for future exploration and habitability studies. In this work, we employed comprehensive&nbsp;finite element model simulations adapted specifically for Martian conditions to estimate subsurface temperatures and the potential for liquid water at depth within Martian crater basins.&nbsp;Rock and fluid property values for basin fill were carefully adjusted to match Martian gravity, radiogenic heat generation, and compositional characteristics derived from rover analyses, Martian&nbsp;meteorite samples, and orbital spectroscopy data. Multiple modeling scenarios were explored to systematically evaluate end-member cases across critical variables such as heat flow, lithological&nbsp;composition, and average surface temperature. Sensitivity testing revealed that heat flow and average annual surface temperatures are the most important variables. Results were used in&nbsp;calculations based on a database of Martian craters to estimate the temperature of crater fill at depth. Our model results indicate significant potential for sustained liquid water in the subsurface&nbsp;within sedimentary deposits across a range of crater sizes and latitudes. They further suggest that viable geothermal reservoirs likely exist and are potentially accessible for future Martian missions&nbsp;seeking energy sources or exploring astrobiological hypotheses. This study provides a methodological framework for geothermal and hydrological assessments for the subsurface of&nbsp;Mars, contributing to ongoing planetary exploration strategies.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Using the Earth to save the Earth","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Geothermal Resources Council","usgsCitation":"Gardner, R., Birdwell, J.E., French, K.L., Okubo, C., Pitman, J., Paxton, S.T., and Flaum, J.A., 2025, Exploring Martian geothermal and liquid water potential with basin modeling, <i>in</i> Using the Earth to save the Earth, v. 49, p. 1526-1541.","productDescription":"16 p.","startPage":"1526","endPage":"1541","ipdsId":"IP-180860","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":499017,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":499005,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.geothermal-library.org/index.php?mode=pubs&action=view&record=1035310"}],"otherGeospatial":"Mars","volume":"49","noUsgsAuthors":false,"publicationDate":"2025-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Gardner, Rand 0000-0001-8711-5334","orcid":"https://orcid.org/0000-0001-8711-5334","contributorId":316831,"corporation":false,"usgs":true,"family":"Gardner","given":"Rand","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":954443,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":954444,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"French, Katherine L. 0000-0002-0153-8035","orcid":"https://orcid.org/0000-0002-0153-8035","contributorId":205462,"corporation":false,"usgs":true,"family":"French","given":"Katherine","email":"","middleInitial":"L.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":false,"id":954445,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Okubo, Chris 0000-0001-9776-8128 cokubo@usgs.gov","orcid":"https://orcid.org/0000-0001-9776-8128","contributorId":174209,"corporation":false,"usgs":true,"family":"Okubo","given":"Chris","email":"cokubo@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":954446,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pitman, Janet K. 0000-0002-0441-779X","orcid":"https://orcid.org/0000-0002-0441-779X","contributorId":228982,"corporation":false,"usgs":true,"family":"Pitman","given":"Janet K.","affiliations":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":954447,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Paxton, Stanley T. 0000-0002-9098-1740 spaxton@usgs.gov","orcid":"https://orcid.org/0000-0002-9098-1740","contributorId":739,"corporation":false,"usgs":true,"family":"Paxton","given":"Stanley","email":"spaxton@usgs.gov","middleInitial":"T.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":954448,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Flaum, Jason A. 0000-0003-1251-1142","orcid":"https://orcid.org/0000-0003-1251-1142","contributorId":300809,"corporation":false,"usgs":true,"family":"Flaum","given":"Jason","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":954449,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70272001,"text":"70272001 - 2025 - Evaluating mountain goat population structure in Glacier National Park and Waterton Lakes National Park","interactions":[],"lastModifiedDate":"2026-03-16T14:24:14.993784","indexId":"70272001","displayToPublicDate":"2025-12-01T09:14:30","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"title":"Evaluating mountain goat population structure in Glacier National Park and Waterton Lakes National Park","docAbstract":"<p>Mountain goats are an iconic, climate-sensitive species across their North American alpine range. Among its nearly complete complement of native wildlife, no single species embodies Glacier National Park (GNP) more than the mountain goat. They play an important role as an alpine food source for many of the park’s carnivores including wolverines, mountain lions, and grizzly bears. Mountain goats face many increasing threats, particularly at the southern extent of their range. These include changes in precipitation and temperature, shifts in forage and fire frequency and intensity, and rapidly increasing visitation and recreation. Although the high latitude and elevations of GNP offer refugia, the mountain goat population likely declined between 2008 and 2019 and may also have a smaller distribution. In Montana, many other native mountain goat populations are also declining or have disappeared entirely. Using a combination of staff and citizen scientists, we collected fecal pellets across GNP in Montana, USA, and adjoining Waterton Lakes National Park (WLNP) in Alberta, Canada, between 2019 and 2023. We used genotypes of 6 to 19 loci microsatellites to identify individuals and assess isolation by distance, genetic structure, and genetic diversity. We found no evidence of genetic structure and only limited isolation by distance. This suggests that mountain goats in GNP and WLNP can be considered a single population, so samples can be combined across the area to estimate a single population size. Genetic diversity was similar to recent mountain goat studies conducted in other regions; allelic richness was 3.54 and inbreeding coefficients (<i>F</i><sub>IS</sub>) ranged from 0.01–0.19, with values &gt;0.11 only in the Livingston Range in the northwest of the study area. The high <i>F</i><sub>IS</sub> in the Livingston Range suggests several closely related groups with little interchange, and perhaps a recent decrease in gene flow, both of which are consistent with a recent population decline in that area. We detected a high number of closely related individuals throughout our study area, consistent with the high adult survival, low reproductive success life history of goats, but also suggesting that we sampled much of the overall population.&nbsp;</p>","language":"English","publisher":"National Park Service","usgsCitation":"Graves, T., Stein, E., Dose, L.M., Crowhurst, R.S., Thomas, H., Epps, C.W., Found, R., Belt, J., and Biel, M., 2025, Evaluating mountain goat population structure in Glacier National Park and Waterton Lakes National Park, 23 p.","productDescription":"23 p.","ipdsId":"IP-175367","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":501174,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":501173,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/Reference/Profile/2314005"}],"country":"Canada, United States","state":"Alberta, Montana","otherGeospatial":"Glacier National Park, Waterton Lakes National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -113.65813170614295,\n              49.01864965992118\n            ],\n            [\n              -113.9402382048133,\n              49.21093114844521\n            ],\n            [\n              -114.19203574081646,\n              49.15606962898178\n            ],\n            [\n              -114.0684684314816,\n              49.0064161433462\n            ],\n            [\n              -114.47414223948681,\n              49.0064161433462\n            ],\n            [\n              -114.11742906348216,\n              48.46980034937002\n            ],\n            [\n              -113.865631527479,\n              48.4512474620191\n            ],\n            [\n     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0000-0001-5145-2400","orcid":"https://orcid.org/0000-0001-5145-2400","contributorId":202084,"corporation":false,"usgs":true,"family":"Graves","given":"Tabitha A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":949682,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stein, Eliza 0009-0009-1939-4971","orcid":"https://orcid.org/0009-0009-1939-4971","contributorId":361933,"corporation":false,"usgs":true,"family":"Stein","given":"Eliza","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":949683,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dose, Lindsay M","contributorId":361935,"corporation":false,"usgs":false,"family":"Dose","given":"Lindsay","middleInitial":"M","affiliations":[{"id":27609,"text":"Contractor to USGS","active":true,"usgs":false}],"preferred":false,"id":949684,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crowhurst, Rachel S.","contributorId":198153,"corporation":false,"usgs":false,"family":"Crowhurst","given":"Rachel","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":949685,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thomas, Heather","contributorId":361939,"corporation":false,"usgs":false,"family":"Thomas","given":"Heather","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":949686,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Epps, Clinton W.","contributorId":359530,"corporation":false,"usgs":false,"family":"Epps","given":"Clinton","middleInitial":"W.","affiliations":[{"id":85841,"text":"Department of Fisheries, Wildlife, and Conservation Sciences, Oregon State University, Nash Hall Room 104, Corvallis, OR, 97331, USA","active":true,"usgs":false}],"preferred":false,"id":949687,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Found, Rob","contributorId":361942,"corporation":false,"usgs":false,"family":"Found","given":"Rob","affiliations":[{"id":6658,"text":"Parks Canada","active":true,"usgs":false}],"preferred":false,"id":949688,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Belt, Jami","contributorId":177314,"corporation":false,"usgs":false,"family":"Belt","given":"Jami","affiliations":[],"preferred":false,"id":949689,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Biel, Mark","contributorId":317264,"corporation":false,"usgs":false,"family":"Biel","given":"Mark","email":"","affiliations":[{"id":68985,"text":"GNP","active":true,"usgs":false}],"preferred":false,"id":949690,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70273723,"text":"70273723 - 2025 - Potential for co-production of lithium and geothermal resources in the Gulf Coast","interactions":[],"lastModifiedDate":"2026-01-26T15:53:11.820202","indexId":"70273723","displayToPublicDate":"2025-12-01T09:13:50","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Potential for co-production of lithium and geothermal resources in the Gulf Coast","docAbstract":"<p>Lithium brine extractions and geothermal resource developments often are not economically viable as standalone projects, but they May become cost effective when the potential for both resources exist within the same reservoir. Subsurface datasets were analyzed to identify areas in the U.S. Gulf Coast region with potential for lithium brine and geothermal heat recovery. Temperature, lithium brine content, and reservoir quality data for thirty-four depositional units were evaluated using spatial analysis to interpret high-grade areas where both resources likely coexist. For sedimentary geothermal systems, potential resource areas are sorted by resource grade: as low temperature (&lt;90°C, direct use potential), moderate temperature (90–150°C, direct use and electricity generation), and high temperature (&gt;150°C, primarily electricity generation). Lithium resources were defined by Li lithium brine concentrations in parts per million (ppm): low potential (&lt;100ppm), moderate potential (100–200ppm), and high potential (&gt;200ppm). &nbsp;Reservoir quality affects the viability of both resources and is evaluated using interpreted lithofacies that describe the depositional environments of each unit. Using the results, a series of play fairway analysis maps were generated to support regional evaluations of lithium and geothermal resources and to identify areas of interest for detailed, prospect-scale studies.&nbsp;</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Using the Earth to save the Earth","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Geothermal Resources Council","usgsCitation":"Gardner, R., and Birdwell, J.E., 2025, Potential for co-production of lithium and geothermal resources in the Gulf Coast, <i>in</i> Using the Earth to save the Earth, v. 49, p. 410-418.","productDescription":"9 p.","startPage":"410","endPage":"418","ipdsId":"IP-180858","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":499015,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":499004,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.geothermal-library.org/index.php?mode=pubs&action=view&record=1035250"}],"country":"United States","state":"Alabama, Flroida, Georgia, Louisiana, Mississippi, Texas","otherGeospatial":"Gulf Coast","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -102.52415578331033,\n              33.70981542560081\n            ],\n            [\n              -102.52415578331033,\n              24.00347152136203\n            ],\n            [\n              -79.56997834883599,\n              24.00347152136203\n            ],\n            [\n              -79.56997834883599,\n              33.70981542560081\n            ],\n            [\n              -102.52415578331033,\n              33.70981542560081\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"49","noUsgsAuthors":false,"publicationDate":"2025-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Gardner, Rand 0000-0001-8711-5334","orcid":"https://orcid.org/0000-0001-8711-5334","contributorId":316831,"corporation":false,"usgs":true,"family":"Gardner","given":"Rand","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":954441,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":954442,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70273756,"text":"70273756 - 2025 - Effects of climate change on Midwestern ecosystems: Central and Eastern North American Grassland and Shrubland","interactions":[],"lastModifiedDate":"2026-01-28T15:15:53.882062","indexId":"70273756","displayToPublicDate":"2025-12-01T09:10:37","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"title":"Effects of climate change on Midwestern ecosystems: Central and Eastern North American Grassland and Shrubland","docAbstract":"<p>The Central and Eastern North American Grassland and Shrubland ecosystem may be increasingly shaped by intensifying drought and shifting seasonality. Rising temperatures and more variable precipitation, marked by longer dry spells, are projected to increase evapotranspiration and soil moisture deficits, and yield more frequent drought. At the same time, warming temperatures are projected to advance spring onset and extend the growing season. Drought may alter habitat structure by accelerating soil erosion, disrupting nutrient cycling, increasing physiological stress on plants, and reducing productivity. These changes are expected to shift community composition toward species adapted to water limitation and fluctuating resources, reducing much of the herbaceous cover that characterizes this ecosystem. Seasonal shifts may restructure habitat by altering phenology and f lowering dynamics, potentially increasing productivity but also heightening the risk of late-season frost damage. Community composition is expected to shift toward early-emerging species, particularly coolseason (C3) grasses, and species with phenological flexibility. Altered phenology may also lead to mismatches between plants and pollinators and increase pollinator competition at the beginning and end of the growing season, with potential consequences for reproduction. </p><p>Although these overarching stressors affect the entire ecosystem, their specific impacts likely vary with local habitat conditions. In the Central and Northern Tallgrass Prairie, which are historically firemaintained habitats dominated by a mix of warm-season (C4) and cool-season (C3) grasses and forbs, climate change may shift community composition by favoring deep-rooted forbs and established shrubs while displacing shallow-rooted species, including many native grasses. These changes, especially in the absence of fire, may promote woody encroachment and drive long-term community reassembly. In the Central Interior Acidic Open Glade and Barrens, characterized by shallow, drought-prone soils, climate change may reinforce xeric assemblages and reduce the abundance of mesic species. In the absence of f ire, shrubs rather than larger woody species, are more likely to increase, as water limitations constrain the establishment of trees. In the Eastern North American Ruderal Meadow and Shrubland, which lack native species richness and structural stability, disturbance-tolerant invaders may increasingly dominate. Drought and earlier springs are expected to reinforce early successional dynamics and further constrain the restoration potential of these already degraded habitats.</p><p> Across the region, invasive species, herbivory, and microbial and fungal communities are also expected to respond to climate change. Invasive plants with ruderal traits and flexible phenologies are likely to benefit from drought-driven disturbance, post-drought resource pulses, and longer, earlier growing seasons. These species often germinate and flower earlier than natives, gaining priority access to resources as seasonal timing shifts. Herbivory by increasing white-tailed deer (Odocoileus virginianus) populations is expected to intensify, particularly during drought, when plant defenses are weakened, and during extended growing seasons, which prolong forage availability. This selective browsing may contribute to declines in native forbs while indirectly promoting non-native grasses. Microbial and fungal communities, like plant communities, are likely vulnerable to both drought and shifting seasonality. Reduced soil moisture may suppress microbial activity and decomposition, while shifts in fungal community composition, particularly declines in arbuscular mycorrhizal fungi, may impair plant drought tolerance.</p><p> Adaptation strategies for the Central and Eastern North American Grassland and Shrubland may require managers to anticipate and respond to these changes through both resistance-based approaches, such as restoring fire regimes and reinforcing native species dominance, and acceptance of some potential transitions, such as facilitating drought-tolerant and phenologically flexible species establishment and adjusting fire regimes to align with altered phenology.&nbsp;</p>","language":"English","publisher":"Climate Change Adaptation Centers","usgsCitation":"Ratcliffe, H., Charton, K., Siddons, T., Lyons, M.P., and LeDee, O.E., 2025, Effects of climate change on Midwestern ecosystems: Central and Eastern North American Grassland and Shrubland, 116 p.","productDescription":"116 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,{"id":70273470,"text":"70273470 - 2025 - Geochemistry and Soils of the Big Smoky Valley Fens, Nevada","interactions":[],"lastModifiedDate":"2026-01-16T14:23:48.418624","indexId":"70273470","displayToPublicDate":"2025-12-01T09:00:59","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2562,"text":"Journal of the Nevada Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Geochemistry and Soils of the Big Smoky Valley Fens, Nevada","docAbstract":"<p>Fens are groundwater-fed wetlands that can provide habitat for plants and animals. Due to anthropogenic activities and climate change, many fens around the world are at risk. This paper presents the results of a study of the hydrology and geochemistry of fens in Big Smoky Valley,&nbsp;central Nevada to support the Bureau of Land Management’s activities in the area. A water sample from the largest fen in the study area was analyzed for its water chemistry and compared to a&nbsp;nearby alluvial aquifer and hot spring. The high SiO<sub>2</sub> concentration of the fen sample implies that the fen water may originate from geothermal water. A soil core was taken to analyze radiocarbon&nbsp;age and soil type. A majority of the core was composed of silt and clay interlayered with water-filled voids. Changes in the character of the clay with depth suggest that there may have been&nbsp;changes in the depositional environment over time. Radiocarbon dating of <i>Ruppia</i> seeds showed longevity of the fen, with the minimum <sup>14</sup>C age of the core as 4,375±40 years. This paper provides reconnaissance-level information on the Big Smoky Valley fens, but further information would be needed to better understand the source of water to the fens or how the fen environment has changed over time with climate.</p>","language":"English","publisher":"Nevada Water Resources Association","doi":"10.22542/jnwra/2025/1/2","usgsCitation":"Cromratie Clemons, S.K., Moret, G.J., and Earp, K.J., 2025, Geochemistry and Soils of the Big Smoky Valley Fens, Nevada: Journal of the Nevada Water Resources Association, v. 2025, no. Winter, p. 27-40, https://doi.org/10.22542/jnwra/2025/1/2.","productDescription":"14 p.","startPage":"27","endPage":"40","ipdsId":"IP-153124","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":498650,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Big Smoky Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -117.75,\n              39.75\n            ],\n            [\n              -117.75,\n              38.5\n            ],\n            [\n              -116.5,\n              38.5\n            ],\n            [\n              -116.5,\n              39.75\n            ],\n            [\n              -117.75,\n              39.75\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"2025","issue":"Winter","noUsgsAuthors":false,"publicationDate":"2025-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Cromratie Clemons, Sade K. 0009-0002-2846-7158","orcid":"https://orcid.org/0009-0002-2846-7158","contributorId":346168,"corporation":false,"usgs":true,"family":"Cromratie Clemons","given":"Sade","email":"","middleInitial":"K.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953853,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moret, Geoffrey John 0000-0002-6589-5699","orcid":"https://orcid.org/0000-0002-6589-5699","contributorId":365162,"corporation":false,"usgs":true,"family":"Moret","given":"Geoffrey","middleInitial":"John","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953854,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Earp, Katherine J. 0000-0002-5291-6737 kjearp@usgs.gov","orcid":"https://orcid.org/0000-0002-5291-6737","contributorId":223704,"corporation":false,"usgs":true,"family":"Earp","given":"Katherine","email":"kjearp@usgs.gov","middleInitial":"J.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953855,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70274280,"text":"70274280 - 2025 - Developing eRNA assays for spawning and juvenile bigheaded carps","interactions":[],"lastModifiedDate":"2026-03-24T14:01:15.604997","indexId":"70274280","displayToPublicDate":"2025-12-01T08:58:05","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":10574,"text":"Asian Carp Monitoring and Response Plan","active":true,"publicationSubtype":{"id":3}},"title":"Developing eRNA assays for spawning and juvenile bigheaded carps","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Monitoring and response plan for invasive carp in the Mississippi River basin, fiscal year 2024","largerWorkSubtype":{"id":3,"text":"Organization Series"},"language":"English","publisher":"Mississippi Interstate Cooperative Resource Association","usgsCitation":"Spear, S.F., 2025, Developing eRNA assays for 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,{"id":70274255,"text":"70274255 - 2025 - Rusting rivers: Assessing the causes and consequences in Alaska and across the Arctic","interactions":[],"lastModifiedDate":"2026-03-24T13:51:43.828512","indexId":"70274255","displayToPublicDate":"2025-12-01T08:47:16","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":12995,"text":"NOAA Technical Report","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"OAR ARC 25-14","title":"Rusting rivers: Assessing the causes and consequences in Alaska and across the Arctic","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"NOAA","doi":"10.25923/f3tr-5759","usgsCitation":"O'Donnell, J.A., Carey, M.P., Koch, J.C., Baughman, C., Hill, K., Evinger, T., Pruitt, A., Thompson, C., Graham, E.B., and Poulin, B.A., 2025, Rusting rivers: Assessing the causes and consequences in Alaska and across the Arctic: NOAA Technical Report OAR ARC 25-14, 8 p., https://doi.org/10.25923/f3tr-5759.","productDescription":"8 p.","ipdsId":"IP-183425","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":501441,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Arctic","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -140.44781012140473,\n              70\n            ],\n            [\n              -167.44863507680367,\n              70\n            ],\n            [\n              -167.44863507680367,\n              64\n            ],\n            [\n              -140.44781012140473,\n              64\n            ],\n            [\n              -140.44781012140473,\n              70\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationDate":"2025-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"O'Donnell, Jonathan A.","contributorId":367250,"corporation":false,"usgs":false,"family":"O'Donnell","given":"Jonathan","middleInitial":"A.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":957216,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carey, Michael P. 0000-0002-3327-8995 mcarey@usgs.gov","orcid":"https://orcid.org/0000-0002-3327-8995","contributorId":5397,"corporation":false,"usgs":true,"family":"Carey","given":"Michael","email":"mcarey@usgs.gov","middleInitial":"P.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":957217,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":957218,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baughman, Carson 0000-0002-9423-9324 cbaughman@usgs.gov","orcid":"https://orcid.org/0000-0002-9423-9324","contributorId":169657,"corporation":false,"usgs":true,"family":"Baughman","given":"Carson","email":"cbaughman@usgs.gov","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":957219,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hill, Kenneth","contributorId":244049,"corporation":false,"usgs":false,"family":"Hill","given":"Kenneth","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":957220,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Evinger, Taylor","contributorId":332163,"corporation":false,"usgs":false,"family":"Evinger","given":"Taylor","affiliations":[{"id":7082,"text":"University of California - 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,{"id":70272971,"text":"70272971 - 2025 - Leveraging an observed-data likelihood improves the use of machine learning labels in a Bayesian hierarchical model for bioacoustic data","interactions":[],"lastModifiedDate":"2025-12-11T14:50:29.76691","indexId":"70272971","displayToPublicDate":"2025-12-01T08:41:50","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":787,"text":"Annals of Applied Statistics","active":true,"publicationSubtype":{"id":10}},"title":"Leveraging an observed-data likelihood improves the use of machine learning labels in a Bayesian hierarchical model for bioacoustic data","docAbstract":"<p><span>Classification of massive datasets by machine learning (ML) algorithms is promising for many scientific domains, especially wildlife monitoring programs that rely on passive acoustic surveys for detecting species. However, treating ML-predicted class labels (e.g., species identity) as truth biases inferences of focal parameters within common modeling frameworks. One solution is to model the misclassification process explicitly using human-validated true-class labels for a subset of observations. Validation by experts can present a substantial bottleneck in otherwise efficient workflows that use ML predictions. Bioacoustics practitioners seek guidance on both the quantity and process for selecting ML-labeled data to validate by an expert. We derive an alternative model formulation that jointly models human-validated and ML-predicted class labels with an observed-data likelihood (ODL) and use empirically informed simulations motivated by a real-data application to explore different probability designs for selecting class labels for validation. Simulation results suggest that with smaller validation sets the ODL formulation increases computational speed and reduces estimation error compared to a default MCMC data augmentation routine. Our methodology is transferable to applications that treat predictions from classification algorithms as the response variable of interest.</span></p>","language":"English","publisher":"Project Euclid","doi":"10.1214/25-AOAS2096","usgsCitation":"Oram, J., Banner, K.M., Stratton, C., Hoegh, A., and Irvine, K., 2025, Leveraging an observed-data likelihood improves the use of machine learning labels in a Bayesian hierarchical model for bioacoustic data: Annals of Applied Statistics, v. 19, no. 4, p. 2957-2980, https://doi.org/10.1214/25-AOAS2096.","productDescription":"24 p.","startPage":"2957","endPage":"2980","ipdsId":"IP-149507","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":497379,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1214/25-aoas2096","text":"Publisher Index Page"},{"id":497320,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Oram, Jacob 0009-0001-8405-529X","orcid":"https://orcid.org/0009-0001-8405-529X","contributorId":353522,"corporation":false,"usgs":false,"family":"Oram","given":"Jacob","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":951942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Banner, Katharine M.","contributorId":363761,"corporation":false,"usgs":false,"family":"Banner","given":"Katharine","middleInitial":"M.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":951943,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":951944,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hoegh, Andrew","contributorId":265906,"corporation":false,"usgs":false,"family":"Hoegh","given":"Andrew","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":951957,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Irvine, Kathryn 0000-0002-6426-940X","orcid":"https://orcid.org/0000-0002-6426-940X","contributorId":220632,"corporation":false,"usgs":true,"family":"Irvine","given":"Kathryn","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":951945,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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