{"pageNumber":"79","pageRowStart":"1950","pageSize":"25","recordCount":185258,"records":[{"id":70276845,"text":"70276845 - 2025 - Three-dimensional seismic velocity models for the San Francisco Bay region, California from joint body-wave and surface-wave tomography validated by waveform simulation","interactions":[],"lastModifiedDate":"2026-06-24T14:42:59.744596","indexId":"70276845","displayToPublicDate":"2025-06-23T09:38:23","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7501,"text":"JGR Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Three-dimensional seismic velocity models for the San Francisco Bay region, California from joint body-wave and surface-wave tomography validated by waveform simulation","docAbstract":"<p><span>A high-resolution seismic velocity model for both P and S waves is essential for the San Francisco Bay (SFB) region to accurately simulate earthquake ground motions and assess seismic hazards in this high-risk region. We present new three-dimensional P-wave and S-wave velocity (Vp and Vs) models of the SFB region developed using joint tomographic inversion with a rich set of earthquake and active-source body-wave data and ambient-noise surface-wave data. We designed a dynamic balance strategy to effectively balance the contributions of body-wave and surface-wave data during each iteration of the inversion. Owing to the complementary resolution of body-wave and surface-wave data, our new models are significantly improved compared to previous tomographic models. Major geologic features in the SFB region, including low-velocity basins, high-velocity Franciscan Complex, granite, and gabbro rocks, and across-fault velocity contrasts, are imaged in our Vp and Vs models. Compared to the geology-based U.S. Geological Survey velocity model, our new model has better defined structures for some important areas that are of great concern for seismic hazard assessment, such as the Sacramento-San Joaquin Delta, and the 2014 magnitude 6.0 South Napa earthquake area. We validated our model by simulating waveforms for a set of moderate-magnitude earthquakes. The good performance of our model in waveform simulation indicates its potential for improving ground motion simulation and seismic hazard assessment in the SFB region.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025JB031377","usgsCitation":"Guo, H., Taira, T., Nayak, A., Thurber, C., and Hirakawa, E.T., 2025, Three-dimensional seismic velocity models for the San Francisco Bay region, California from joint body-wave and surface-wave tomography validated by waveform simulation: JGR Solid Earth, v. 130, no. 6, e2025JB031377, 26 p., https://doi.org/10.1029/2025JB031377.","productDescription":"e2025JB031377, 26 p.","ipdsId":"IP-179577","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":506071,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025jb031377","text":"Publisher Index Page"},{"id":505817,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124,\n              39\n            ],\n            [\n              -120,\n              39\n            ],\n            [\n              -120,\n              36\n            ],\n            [\n              -124,\n              36\n            ],\n            [\n              -124,\n              39\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"130","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Guo, Hao","contributorId":261277,"corporation":false,"usgs":false,"family":"Guo","given":"Hao","email":"","affiliations":[{"id":52789,"text":"Univ. of Science and Technology of China","active":true,"usgs":false}],"preferred":false,"id":963500,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taira, Taka'aki","contributorId":372740,"corporation":false,"usgs":false,"family":"Taira","given":"Taka'aki","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":963501,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nayak, Avinash 0000-0001-7913-7189","orcid":"https://orcid.org/0000-0001-7913-7189","contributorId":245918,"corporation":false,"usgs":false,"family":"Nayak","given":"Avinash","email":"","affiliations":[{"id":38900,"text":"Lawrence Berkeley National Laboratory","active":true,"usgs":false}],"preferred":false,"id":963502,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thurber, Clifford","contributorId":347048,"corporation":false,"usgs":false,"family":"Thurber","given":"Clifford","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":963503,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hirakawa, Evan Tyler 0000-0002-5720-0850","orcid":"https://orcid.org/0000-0002-5720-0850","contributorId":295776,"corporation":false,"usgs":true,"family":"Hirakawa","given":"Evan","email":"","middleInitial":"Tyler","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":963504,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70275012,"text":"70275012 - 2025 - Timing of Steller’s Eider remigial molt has delayed over 26-year span","interactions":[],"lastModifiedDate":"2026-04-10T15:11:37.587371","indexId":"70275012","displayToPublicDate":"2025-06-23T00:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2409,"text":"Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Timing of Steller’s Eider remigial molt has delayed over 26-year span","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>The Steller’s Eider is a sea duck that uses specific molting areas in lagoons in southwest Alaska, and these molting populations have declined in recent decades. The annual flight feather molt is a significant stage in avian life-history. The focus of this study was to characterize the phenology of Steller’s Eider flight feather molt timing and explore if molt timing is (1) earlier, (2) remained unchanged, or (3) is delayed. We developed a flight feather growth function throughout molt using data from captive birds. We used measurements from free-ranging birds over a 26-year period to investigate variation in molt start dates among sexes, years, and locations. Results indicate that fall molt timing has delayed over 26&nbsp;years for Steller’s Eiders in our study area. We speculate that drivers of observed change in timing may be related to changes in seasonal Arctic environmental conditions. Our findings can be used by managers to inform timing of population surveys.</span></span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s10336-025-02303-2","usgsCitation":"Ulman, S.E., Hollmen, T.E., and Flint, P.L., 2025, Timing of Steller’s Eider remigial molt has delayed over 26-year span: Journal of Ornithology, v. 167, p. 189-197, https://doi.org/10.1007/s10336-025-02303-2.","productDescription":"9 p.","startPage":"189","endPage":"197","ipdsId":"IP-141232","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":502685,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"southwest Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -179.59962415098911,\n              52.10437509841003\n            ],\n            [\n              -179.4861183653336,\n              50.45182806852918\n            ],\n            [\n              -165.82220413872585,\n              52.707733413986745\n            ],\n            [\n              -149.44879640767203,\n              57.167916274932196\n            ],\n            [\n              -151.3650372403525,\n              61.39831742623903\n            ],\n            [\n              -158.62399129110142,\n              60.303497443694795\n            ],\n            [\n              -162.688181341742,\n              58.619433781920065\n            ],\n            [\n              -160.26363272511944,\n              57.38846720277435\n            ],\n            [\n              -165.94179631757575,\n              55.23170376840372\n            ],\n            [\n              -179.59962415098911,\n              52.10437509841003\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"167","noUsgsAuthors":false,"publicationDate":"2025-06-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Ulman, Sadie E.","contributorId":305922,"corporation":false,"usgs":false,"family":"Ulman","given":"Sadie","middleInitial":"E.","affiliations":[{"id":16211,"text":"Alaska SeaLife Center","active":true,"usgs":false}],"preferred":false,"id":959193,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hollmen, Tuula E.","contributorId":211728,"corporation":false,"usgs":false,"family":"Hollmen","given":"Tuula","email":"","middleInitial":"E.","affiliations":[{"id":16211,"text":"Alaska SeaLife Center","active":true,"usgs":false}],"preferred":false,"id":959194,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flint, Paul L. 0000-0002-8758-6993 pflint@usgs.gov","orcid":"https://orcid.org/0000-0002-8758-6993","contributorId":3284,"corporation":false,"usgs":true,"family":"Flint","given":"Paul","email":"pflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":959195,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70271985,"text":"70271985 - 2025 - Dynamic environments generate geographic fluctuations in population structure of an inland shorebird","interactions":[],"lastModifiedDate":"2025-09-30T15:31:21.830566","indexId":"70271985","displayToPublicDate":"2025-06-22T10:27:51","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Dynamic environments generate geographic fluctuations in population structure of an inland shorebird","docAbstract":"<p><span>Species distributions depend on fine-scale ecological processes and population growth trajectories and are influenced by climate and weather changes. However, the characterization of inter-population dynamics underlying the geographic distributions of migratory organisms remains challenging. We adopted a stable isotope approach to investigate the dynamic population geography of a terrestrial migratory bird across multiple generations. We found that the age-specific geographic source of Mountain Plovers sampled during winter shifted over four years across a latitudinal gradient. Moreover, our results show that differential effects of climate on the probability of occurrence at the wintering ground could be a driver of population turnover in a migratory species adapted to extreme environmental stochasticity (i.e., drought occurrence). We propose a framework for the identification of spatial and temporal climate and weather components and respective effects on population composition and recruitment into migratory wintering populations. Our approach is useful to reveal population compositional shifts through hydrogen stable isotope analysis while accounting for cumulative drought effects.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70312","usgsCitation":"Contina, A., Yanco, S.W., Pierce, A.K., Vander Zanden, H.B., Stricker, C.A., Bowen, G.J., and Wunder, M.B., 2025, Dynamic environments generate geographic fluctuations in population structure of an inland shorebird: Ecosphere, v. 16, no. 6, e70312, 13 p., https://doi.org/10.1002/ecs2.70312.","productDescription":"e70312, 13 p.","ipdsId":"IP-143697","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":496329,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70312","text":"Publisher Index Page"},{"id":496265,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Contina, Andrea","contributorId":341849,"corporation":false,"usgs":false,"family":"Contina","given":"Andrea","email":"","affiliations":[{"id":78410,"text":"University of Texas Rio Grande Valley","active":true,"usgs":false}],"preferred":false,"id":949605,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yanco, Scott W.","contributorId":361882,"corporation":false,"usgs":false,"family":"Yanco","given":"Scott","middleInitial":"W.","affiliations":[{"id":37550,"text":"Yale University","active":true,"usgs":false}],"preferred":false,"id":949606,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pierce, Allison K.","contributorId":361884,"corporation":false,"usgs":false,"family":"Pierce","given":"Allison","middleInitial":"K.","affiliations":[{"id":13293,"text":"University of Colorado - Denver","active":true,"usgs":false}],"preferred":false,"id":949607,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vander Zanden, Hanna B.","contributorId":361886,"corporation":false,"usgs":false,"family":"Vander Zanden","given":"Hanna","middleInitial":"B.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":949608,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":949609,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bowen, Gabriel J.","contributorId":361889,"corporation":false,"usgs":false,"family":"Bowen","given":"Gabriel","middleInitial":"J.","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":949610,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wunder, Michael B.","contributorId":361892,"corporation":false,"usgs":false,"family":"Wunder","given":"Michael","middleInitial":"B.","affiliations":[{"id":13293,"text":"University of Colorado - Denver","active":true,"usgs":false}],"preferred":false,"id":949611,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70269057,"text":"70269057 - 2025 - Leveraging wildfire to augment forest management and amplify forest resilience","interactions":[],"lastModifiedDate":"2025-07-15T14:16:45.890932","indexId":"70269057","displayToPublicDate":"2025-06-22T09:12:45","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Leveraging wildfire to augment forest management and amplify forest resilience","docAbstract":"<p><span>Successive catastrophic wildfire seasons in western North America have escalated the urgency around reducing fire risk to communities and ecosystems. In historically frequent-fire forests, fuel buildup as a result of fire exclusion is contributing to increased fire severity. The probability of high-severity fire can be reduced by active forest management that reduces fuels, prompting federal and state agencies to commit significant resources to increase the pace and scale of fuel reduction treatments. However, lower severity areas of wildfires also have the potential to act as “treatments,” and even catastrophic fires with large areas of high severity can still have substantial areas of lower severity fire that may be improving forest conditions locally. We quantified active management and wildfire severity across yellow pine and mixed conifer (YPMC) forests in the Sierra Nevada of California over a 22-year period (2001–2022). We did not detect increases in the area treated through time, but the area of beneficial wildfire (low to moderate severity) increased substantially, exceeding active treatment area in 8 of 22 years. Overall, beneficial wildfire treated ~17% more area than all treatments combined, and roughly four times more area than fire-related treatments alone. We then used disturbance history to evaluate resistance to high-severity wildfire and forest loss across the YPMC range. Of the 2.3 million ha YPMC of forests in 2001, 20% lost mature forests due to high-severity fire by 2022, which is nearly half of all YPMC area burned. Most of the landscape (47%) remains at risk of high-severity fire because it had no restorative disturbances, but 33% of the study area has some level of resistance to high-severity wildfire. In these areas, resistance will need to be enhanced and maintained over time via active management or managed wildfire, but these treatment needs will likely outpace capacity even under optimistic implementation scenarios. Given limited resources for implementing active management and the likelihood of a more fiery future, incorporating beneficial wildfire into landscape-level treatment planning has the potential to amplify the impact of active management treatments.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70306","usgsCitation":"Shive, K., Knight, C.A., Steel, Z.L., Stanley, C., and Wilson, K., 2025, Leveraging wildfire to augment forest management and amplify forest resilience: Ecosphere, v. 16, no. 6, e70306, 23 p., https://doi.org/10.1002/ecs2.70306.","productDescription":"e70306, 23 p.","ipdsId":"IP-171515","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":492491,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70306","text":"Publisher Index Page"},{"id":492239,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Sierra Nevada mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -117.49191600648966,\n              35.65099754384805\n            ],\n            [\n              -118.41892399844924,\n              37.519967279694015\n            ],\n            [\n              -119.44265195907964,\n              39.671467955184795\n            ],\n            [\n              -120.0832792618448,\n              40.51478566722406\n            ],\n            [\n              -122.12439984049409,\n              40.20490455276678\n            ],\n            [\n              -121.63327673827555,\n              39.70452920126846\n            ],\n            [\n              -121.05326397512911,\n              38.48323730930633\n            ],\n            [\n              -118.5302083539183,\n              35.15085062254475\n            ],\n            [\n              -117.49191600648966,\n              35.65099754384805\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"16","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Shive, Kristen I. 0000-0002-5633-2528","orcid":"https://orcid.org/0000-0002-5633-2528","contributorId":352132,"corporation":false,"usgs":false,"family":"Shive","given":"Kristen I.","affiliations":[{"id":84117,"text":"University of California Cooperative Extension and Department of Environmental Science","active":true,"usgs":false}],"preferred":false,"id":943173,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knight, Clarke Alexandra 0000-0003-0002-6959","orcid":"https://orcid.org/0000-0003-0002-6959","contributorId":288487,"corporation":false,"usgs":true,"family":"Knight","given":"Clarke","email":"","middleInitial":"Alexandra","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":943174,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Steel, Zachary L 0000-0002-1659-3141","orcid":"https://orcid.org/0000-0002-1659-3141","contributorId":329821,"corporation":false,"usgs":false,"family":"Steel","given":"Zachary","email":"","middleInitial":"L","affiliations":[{"id":6643,"text":"University of California - Berkeley","active":true,"usgs":false}],"preferred":false,"id":943175,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stanley, Charlotte K. 0000-0002-5019-4427","orcid":"https://orcid.org/0000-0002-5019-4427","contributorId":358047,"corporation":false,"usgs":false,"family":"Stanley","given":"Charlotte K.","affiliations":[{"id":85576,"text":"The Nature Conservancy, San Francisco, California","active":true,"usgs":false}],"preferred":false,"id":943176,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wilson, Kristen N. 0000-0003-4769-2086","orcid":"https://orcid.org/0000-0003-4769-2086","contributorId":358048,"corporation":false,"usgs":false,"family":"Wilson","given":"Kristen N.","affiliations":[{"id":85576,"text":"The Nature Conservancy, San Francisco, California","active":true,"usgs":false}],"preferred":false,"id":943177,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70268392,"text":"70268392 - 2025 - Seasonal rotation of California pocket beaches","interactions":[],"lastModifiedDate":"2025-06-24T14:55:15.748125","indexId":"70268392","displayToPublicDate":"2025-06-22T07:49:52","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal rotation of California pocket beaches","docAbstract":"Pocket beaches are short, headland-bound coastal landforms that may exhibit shoreline rotation in response to time-varying wave conditions. Here we examine the presence, location and style of pocket beach rotation along the 1700 km coast of California using a comprehensive 22-year satellite-derived shoreline dataset. These analyses identify 23 pocket beaches that exhibit annual cycles of rotation, and these beaches have two general types. In southern California, pocket beaches rotate clockwise, or towards the south, in the winter season (‘winter southward’ transport of sand). These beaches have symmetric rotation patterns and strong seasonality in wave direction (winter west swell and summer south swell), which is indicative of rotation from seasonal oscillations in longshore sediment transport. In northern California, pocket beaches rotate counterclockwise, or towards the north, in the winter (‘winter northward’ transport of sand), and they are characterized by strong asymmetry (winter beach is overall narrower than the summer beach) and strong seasonality in wave power. Rotation of these northern California beaches is related to both cross-shore and longshore sediment transport, caused by large west-to-northwest swell of the winter and smaller northwest wind waves of the summer. We acknowledge that many more rotating pocket beaches likely exist in California owing to the undersampling of the smallest beaches in the source data. In the end, we conclude that seasonally rotating pocket beaches are a fundamental coastal landform type of the California coast, owing to its wave seasonality and rocky and cliff-backed morphology.","language":"English","publisher":"British Society for Geomorphology","doi":"10.1002/esp.70115","usgsCitation":"Warrick, J.A., Buscombe, D.D., Vos, K., Ritchie, A., and Battalio, B., 2025, Seasonal rotation of California pocket beaches: Earth Surface Processes and Landforms, v. 50, no. 8, e70115, 21 p., https://doi.org/10.1002/esp.70115.","productDescription":"e70115, 21 p.","ipdsId":"IP-174144","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":491464,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/esp.70115","text":"Publisher Index Page"},{"id":491194,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -124.53754214833282,\n              42.01939137685051\n            ],\n            [\n              -124.58232174888042,\n              40.669027141445056\n            ],\n            [\n              -123.78043869005253,\n              38.57555641017706\n            ],\n            [\n              -122.29825799326892,\n              36.337324446738684\n            ],\n            [\n              -117.97924443937916,\n              32.361668474994005\n            ],\n            [\n              -116.72630257932812,\n              32.61972232338513\n            ],\n            [\n              -121.30393894039285,\n              36.51381193501618\n            ],\n            [\n              -123.36405835149245,\n              39.878218221096176\n            ],\n            [\n              -123.38617364905127,\n              41.9363016901882\n            ],\n            [\n              -124.53754214833282,\n              42.01939137685051\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"50","issue":"8","noUsgsAuthors":false,"publicationDate":"2025-06-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Warrick, Jonathan A. 0000-0002-0205-3814 jwarrick@usgs.gov","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":167736,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan","email":"jwarrick@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":941188,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buscombe, Daniel D. 0000-0001-6217-5584","orcid":"https://orcid.org/0000-0001-6217-5584","contributorId":198817,"corporation":false,"usgs":false,"family":"Buscombe","given":"Daniel","middleInitial":"D.","affiliations":[],"preferred":false,"id":941189,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vos, Kilian 0000-0002-9518-1582","orcid":"https://orcid.org/0000-0002-9518-1582","contributorId":229435,"corporation":false,"usgs":false,"family":"Vos","given":"Kilian","email":"","affiliations":[{"id":27304,"text":"University of New South Wales","active":true,"usgs":false}],"preferred":false,"id":941190,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ritchie, Andrew C. 0000-0001-5826-9983","orcid":"https://orcid.org/0000-0001-5826-9983","contributorId":333630,"corporation":false,"usgs":true,"family":"Ritchie","given":"Andrew C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":941191,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Battalio, Bob","contributorId":357321,"corporation":false,"usgs":false,"family":"Battalio","given":"Bob","affiliations":[{"id":85409,"text":"Consulting Coastal Engineer, Pacifica, California, USA","active":true,"usgs":false}],"preferred":false,"id":941192,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70273984,"text":"70273984 - 2025 - Niche partitioning among three apex piscivorous fishes: Evidence of limited intraguild predation","interactions":[],"lastModifiedDate":"2026-02-20T16:24:16.225139","indexId":"70273984","displayToPublicDate":"2025-06-21T10:13:08","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Niche partitioning among three apex piscivorous fishes: Evidence of limited intraguild predation","docAbstract":"<p><span>This study aimed to understand the ecological relationship among burbot&nbsp;</span><i>Lota lota</i><span>, brown trout&nbsp;</span><i>Salmo trutta</i><span>&nbsp;and lake trout&nbsp;</span><i>Salvelinus namaycush</i><span>, with a focus on burbot, a species of greatest conservation need in Wyoming. While we hypothesised a reciprocal intraguild predation dynamic, where competition and predation occur between predators based on size or age structure, our findings provided limited support for this hypothesis. Both dietary overlap and trophic position were minimal among burbot, brown trout and lake trout. Instances of reciprocal predation were rare; no predation between burbot and lake trout was observed; and brown trout was the only species consumed by all predators (burbot 0.02 mean proportion by weight; lake trout 0.09 mean proportion by weight). Predation by brown trout on burbot was negligible, contributing only 0.01 to the mean proportion by weight and frequency of occurrence. Additionally, both burbot and brown trout were less piscivorous than expected, with fish comprising 0.36 and 0.17 of their mean proportion by weight in their overall diets, respectively. Overall, our findings suggest that these predators coexist with limited competitive or predatory interactions, likely due to differences in prey selection.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/eff.70011","usgsCitation":"Eckelbecker, R.W., Guy, C.S., Gerrity, P.C., Deromedi, J.W., Neebling, T.E., Smith, M.A., 2025, Niche partitioning among three apex piscivorous fishes: Evidence of limited intraguild predation: Ecology of Freshwater Fish, v. 34, no. 3, e70011, 13 p., https://doi.org/10.1111/eff.70011.","productDescription":"e70011, 13 p.","ipdsId":"IP-174794","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500577,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/eff.70011","text":"Publisher Index Page"},{"id":500348,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Torrey Creek drainage","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -109.59097274253836,\n              43.48793506318529\n            ],\n            [\n              -109.59097274253836,\n              43.41362905156234\n            ],\n            [\n              -109.50333351033318,\n              43.41362905156234\n            ],\n            [\n              -109.50333351033318,\n              43.48793506318529\n            ],\n            [\n              -109.59097274253836,\n              43.48793506318529\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"34","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-06-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Eckelbecker, Robert W.","contributorId":366497,"corporation":false,"usgs":false,"family":"Eckelbecker","given":"Robert","middleInitial":"W.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":955996,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guy, Christopher S. 0000-0002-9936-4781 cguy@usgs.gov","orcid":"https://orcid.org/0000-0002-9936-4781","contributorId":2876,"corporation":false,"usgs":true,"family":"Guy","given":"Christopher","email":"cguy@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":955997,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gerrity, Paul C.","contributorId":366498,"corporation":false,"usgs":false,"family":"Gerrity","given":"Paul","middleInitial":"C.","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":955998,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Deromedi, Joe W.","contributorId":366499,"corporation":false,"usgs":false,"family":"Deromedi","given":"Joe","middleInitial":"W.","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":955999,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Neebling, Travis E.","contributorId":366500,"corporation":false,"usgs":false,"family":"Neebling","given":"Travis","middleInitial":"E.","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":956000,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Mark A.","contributorId":366501,"corporation":false,"usgs":false,"family":"Smith","given":"Mark","middleInitial":"A.","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":956001,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70268393,"text":"70268393 - 2025 - A method to obtain remotely sensed grain size distributions from nonplanar granular deposits","interactions":[],"lastModifiedDate":"2025-06-24T14:50:40.182916","indexId":"70268393","displayToPublicDate":"2025-06-21T09:42:21","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5026,"text":"Earth and Space Science","active":true,"publicationSubtype":{"id":10}},"title":"A method to obtain remotely sensed grain size distributions from nonplanar granular deposits","docAbstract":"<p><span>Constraining the grain size distribution of granular deposits with complex surfaces is difficult with existing approaches. Field and laboratory techniques are time consuming and limited by the maximum grain size that laboratories can accommodate. In this study, we present a new method to identify the coarse fraction of the grain size distribution at a debris-flow fan deposit surveyed with terrestrial laser scanning (TLS) in Glenwood Canyon, Colorado, USA. This method is a novel grain segmentation algorithm developed for application to point cloud data of deposits with complex surfaces and angular grains ranging in size from centimeters to a meter. This approach combines an existing random forest machine learning method with a novel iterative clustering algorithm. We compared the grain size distribution from our algorithm with a Wolman pebble count conducted in the field, and found a root mean squared error of less than 2&nbsp;cm from the 5th to 95th percentile of the grain size distribution of grains ranging from cobble to boulder sized (6.3–78&nbsp;cm in our application). Finally, we compared our new algorithm with an existing open-source grain segregation algorithm, and our method outperformed the selected alternative when applied to the debris-flow deposit point cloud.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025EA004376","usgsCitation":"Jacobson, H., Walton, G., Barnhart, K.R., and Rengers, F.K., 2025, A method to obtain remotely sensed grain size distributions from nonplanar granular deposits: Earth and Space Science, v. 12, e2025EA004376, 18 p., https://doi.org/10.1029/2025EA004376.","productDescription":"e2025EA004376, 18 p.","ipdsId":"IP-159354","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":491499,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025ea004376","text":"Publisher Index Page"},{"id":491193,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Colorado River, Grizzly Creek Fire area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -107.03314321384126,\n              39.68363920671021\n            ],\n            [\n              -107.34507070999592,\n              39.68363920671021\n            ],\n            [\n              -107.34507070999592,\n              39.525758441449966\n            ],\n            [\n              -107.03314321384126,\n              39.525758441449966\n            ],\n            [\n              -107.03314321384126,\n              39.68363920671021\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"12","noUsgsAuthors":false,"publicationDate":"2025-06-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Jacobson, Hayden L. 0000-0003-4777-6626","orcid":"https://orcid.org/0000-0003-4777-6626","contributorId":357323,"corporation":false,"usgs":false,"family":"Jacobson","given":"Hayden L.","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":941193,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walton, Gabriel 0000-0002-9214-0021","orcid":"https://orcid.org/0000-0002-9214-0021","contributorId":357324,"corporation":false,"usgs":false,"family":"Walton","given":"Gabriel","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":941194,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnhart, Katherine R. 0000-0001-5682-455X","orcid":"https://orcid.org/0000-0001-5682-455X","contributorId":257870,"corporation":false,"usgs":true,"family":"Barnhart","given":"Katherine","email":"","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":941195,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":941196,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70271170,"text":"70271170 - 2025 - A northeast-dipping zone of low frequency earthquakes at the southern edge of Cascadia subduction","interactions":[],"lastModifiedDate":"2025-09-02T15:23:31.835723","indexId":"70271170","displayToPublicDate":"2025-06-21T07:47:45","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"A northeast-dipping zone of low frequency earthquakes at the southern edge of Cascadia subduction","docAbstract":"<p><span>Tectonic tremor monitoring occasionally detects events in an anomalous zone in southern Cascadia, 50–100&nbsp;km west of the main tremor band, near the expected southern edge of the subducting Gorda slab at the Mendocino triple junction. To investigate the geometry and temporal behavior of this tremor, we examine its constituent low-frequency earthquakes (LFEs) by developing 27 stacked LFE waveform templates that we use to detect events from 2018 to 2024. We then relocate LFE sources together with regional seismicity. We find that LFE hypocenters form a northeast-dipping alignment at 22–29&nbsp;km depth, extending eastward from a zone of micro-earthquakes, ∼15&nbsp;km south of the southern edge of Gorda slab seismicity. These LFE families exhibit small bursts of activity every few days. Considering the strong world-wide association of tremor and LFEs with high slip-rate, plate-bounding faults, we hypothesize these LFEs may demark the southern edge of Cascadia subduction.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025GL116116","usgsCitation":"Shelly, D.R., Goldberg, D.E., Wech, A., and Thomas, A., 2025, A northeast-dipping zone of low frequency earthquakes at the southern edge of Cascadia subduction: Geophysical Research Letters, v. 52, no. 12, e2025GL116116, 10 p., https://doi.org/10.1029/2025GL116116.","productDescription":"e2025GL116116, 10 p.","ipdsId":"IP-176803","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":495177,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025gl116116","text":"Publisher Index Page"},{"id":495120,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -124.69502883019663,\n              40.90524515269453\n            ],\n            [\n              -124.69502883019663,\n              39.09452043926575\n            ],\n            [\n              -122.5274521203633,\n              39.09452043926575\n            ],\n            [\n              -122.5274521203633,\n              40.90524515269453\n            ],\n            [\n              -124.69502883019663,\n              40.90524515269453\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"52","issue":"12","noUsgsAuthors":false,"publicationDate":"2025-06-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Shelly, David R. 0000-0003-2783-5158 dshelly@usgs.gov","orcid":"https://orcid.org/0000-0003-2783-5158","contributorId":206750,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":947637,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goldberg, Dara Elyse 0000-0002-0923-3180","orcid":"https://orcid.org/0000-0002-0923-3180","contributorId":289891,"corporation":false,"usgs":true,"family":"Goldberg","given":"Dara","email":"","middleInitial":"Elyse","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":947638,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wech, Aaron 0000-0003-4983-1991","orcid":"https://orcid.org/0000-0003-4983-1991","contributorId":202561,"corporation":false,"usgs":true,"family":"Wech","given":"Aaron","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":947639,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thomas, Amanda","contributorId":195086,"corporation":false,"usgs":false,"family":"Thomas","given":"Amanda","affiliations":[],"preferred":false,"id":947640,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70271930,"text":"70271930 - 2025 - Beak deformities in Buteo jamaicensis (Red-tailed Hawk) signal possible emergence of avian keratin disorder among raptors","interactions":[],"lastModifiedDate":"2025-12-01T16:43:31.171083","indexId":"70271930","displayToPublicDate":"2025-06-20T10:15:57","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10109,"text":"Ornithology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Beak deformities in <i>Buteo jamaicensis</i> (Red-tailed Hawk) signal possible emergence of avian keratin disorder among raptors","title":"Beak deformities in Buteo jamaicensis (Red-tailed Hawk) signal possible emergence of avian keratin disorder among raptors","docAbstract":"<p><span>Beginning in the late 1990s, an unusual cluster of beak deformities was observed among&nbsp;</span><i>Buteo jamaicensis</i><span>&nbsp;(Red-tailed Hawk) in the Pacific coastal region of North America. However, information was not available to determine the scope of this problem nor to assess a potential link between beak deformities in hawks and avian keratin disorder (AKD), an emerging disease primarily among passerines that causes overgrowth of the keratinized layer of the beak. To help address these knowledge gaps, we compiled capture records, citizen science reports, and other available data from across North America. As part of a long-term raptor monitoring program in Washington, we detected anomalously high rates of beak deformities in 29% and other keratin abnormalities in an additional 19% of&nbsp;</span><i>B. jamaicensis</i><span>&nbsp;between 2014 and 2021. We also identified more than 100 other AKD-like cases in&nbsp;</span><i>B. jamaicensis</i><span>, largely clustered in the Pacific coastal region, with most reports from 2000 to present. Pathologic examination of affected hawks revealed gross and microscopic features consistent with AKD in passerines, while shared epidemiological patterns, including timing of emergence, provided further evidence that this disease may impact an ecologically diverse suite of species. We detected poecivirus, a novel avian virus implicated as a likely cause of AKD in&nbsp;</span><i>Poecile atricapillus</i><span>&nbsp;(Black-capped Chickadee), in 1 out of 10 swabs collected from live&nbsp;</span><i>B. jamaicensis</i><span>, with gross beak deformities, suggesting the possibility of a shared viral etiology across species. However, additional work would be needed to determine the underlying cause of beak deformities in and their potential impacts on&nbsp;</span><i>B. jamaicensis</i><span>. By documenting this cluster of beak deformities, we hope to raise awareness among the ornithological community, including raptor researchers, to better track current and future outbreaks of beak deformities and related conditions.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/ornithology/ukaf023","usgsCitation":"Van Hemert, C.R., Handel, C.M., Cottrell, S., Gerik, D., and Bildfell, R.J., 2025, Beak deformities in Buteo jamaicensis (Red-tailed Hawk) signal possible emergence of avian keratin disorder among raptors: Ornithology, v. 142, no. 4, ukaf023, 11 p., https://doi.org/10.1093/ornithology/ukaf023.","productDescription":"ukaf023, 11 p.","ipdsId":"IP-174862","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":496153,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ornithology/ukaf023","text":"Publisher Index Page"},{"id":496012,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"142","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-06-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Van Hemert, Caroline R. 0000-0002-6858-7165 cvanhemert@usgs.gov","orcid":"https://orcid.org/0000-0002-6858-7165","contributorId":3592,"corporation":false,"usgs":true,"family":"Van Hemert","given":"Caroline","email":"cvanhemert@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":949412,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Handel, Colleen M. 0000-0002-0267-7408 cmhandel@usgs.gov","orcid":"https://orcid.org/0000-0002-0267-7408","contributorId":3067,"corporation":false,"usgs":true,"family":"Handel","given":"Colleen","email":"cmhandel@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":949413,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cottrell, Susan","contributorId":361770,"corporation":false,"usgs":false,"family":"Cottrell","given":"Susan","affiliations":[{"id":86348,"text":"Raptor Studies Northwest","active":true,"usgs":false}],"preferred":false,"id":949414,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gerik, Danielle Elizabeth 0000-0002-2906-1195","orcid":"https://orcid.org/0000-0002-2906-1195","contributorId":292922,"corporation":false,"usgs":true,"family":"Gerik","given":"Danielle Elizabeth","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":949415,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bildfell, Robert J.","contributorId":361771,"corporation":false,"usgs":false,"family":"Bildfell","given":"Robert","middleInitial":"J.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":949416,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70271508,"text":"70271508 - 2025 - Impact of gas/liquid phase change of CO2 during injection for sequestration","interactions":[],"lastModifiedDate":"2025-09-18T15:18:17.86038","indexId":"70271508","displayToPublicDate":"2025-06-20T09:58:59","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":22362,"text":"Journal of the Mechanics and Physics of Solids","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Impact of gas/liquid phase change of CO<sub>2</sub>  during injection for sequestration","title":"Impact of gas/liquid phase change of CO2 during injection for sequestration","docAbstract":"<div id=\"d1e765\" class=\"u-margin-s-bottom\"><span>CO<sub>2</sub> </span>sequestration in deep saline formations is an effective and important process to control the rapid rise in CO<sub>2</sub><span>&nbsp;</span>emissions. The process of injecting CO<sub>2</sub><span>&nbsp;</span>requires reliable predictions of the stress in the formation and the fluid pressure distributions – particularly since monitoring of the CO<sub>2</sub><span> migration is difficult – to mitigate leakage, prevent&nbsp;induced seismicity, and analyze&nbsp;wellbore&nbsp;stability. A key aspect of CO<sub>2</sub></span><span>&nbsp;</span>is the gas–liquid phase transition at the temperatures and pressures of relevance to leakage and sequestration, which has been recognized as being critical for accurate predictions but has been challenging to model without<span>&nbsp;</span><i>ad hoc</i><span>&nbsp;</span>empiricisms.</div><div id=\"d1e811\" class=\"u-margin-s-bottom\">This paper presents a robust multiphase thermodynamics-based poromechanics model to capture the complex phase transition behavior of CO<sub>2</sub><span> and predict the stress and pressure distribution under super- and sub- critical conditions during the&nbsp;injection process. A&nbsp;finite element implementation&nbsp;of the model is applied to analyze the behavior of a multiphase porous system with CO<sub>2</sub></span><span>&nbsp;</span>as it displaces the fluid brine phase. We find that if CO<sub>2</sub><span>&nbsp;</span>undergoes a phase transition in the geologic reservoir, the spatial variation of the density is significantly affected, and the migration mobility of CO<sub>2</sub><span>&nbsp;</span>decreases in the reservoir. A key feature of our approach is that we do not<span>&nbsp;</span><i>a priori</i><span>&nbsp;</span>assume the location of the CO<sub>2</sub><span>&nbsp;</span>gas/liquid interface – or even if it occurs at all – but rather, this is a prediction of the model, along with the spatial variation of the phase of CO<sub>2</sub><span>&nbsp;</span>and the change of the saturation profile due to the phase change.</div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jmps.2025.106232","usgsCitation":"Karimi, M., Cochran, E.S., Massoudi, M., Walkington, N., Pozzi, M., and Dayal, K., 2025, Impact of gas/liquid phase change of CO2 during injection for sequestration: Journal of the Mechanics and Physics of Solids, v. 203, 106232, 14 p., https://doi.org/10.1016/j.jmps.2025.106232.","productDescription":"106232, 14 p.","ipdsId":"IP-153941","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":495746,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jmps.2025.106232","text":"Publisher Index Page"},{"id":495712,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"203","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Karimi, M.","contributorId":361549,"corporation":false,"usgs":false,"family":"Karimi","given":"M.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":948979,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":948980,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Massoudi, Mehrdad","contributorId":361550,"corporation":false,"usgs":false,"family":"Massoudi","given":"Mehrdad","affiliations":[{"id":64933,"text":"National Energy Technology Laboratory","active":true,"usgs":false}],"preferred":false,"id":948981,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walkington, Noel","contributorId":361552,"corporation":false,"usgs":false,"family":"Walkington","given":"Noel","affiliations":[{"id":12943,"text":"Carnegie Mellon University","active":true,"usgs":false}],"preferred":false,"id":948982,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pozzi, Matteo","contributorId":361553,"corporation":false,"usgs":false,"family":"Pozzi","given":"Matteo","affiliations":[{"id":12943,"text":"Carnegie Mellon University","active":true,"usgs":false}],"preferred":false,"id":948983,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dayal, Kaushik","contributorId":361555,"corporation":false,"usgs":false,"family":"Dayal","given":"Kaushik","affiliations":[{"id":12943,"text":"Carnegie Mellon University","active":true,"usgs":false}],"preferred":false,"id":948984,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70273158,"text":"70273158 - 2025 - Multiscale framework for assessing land cover change on barrier islands from extreme storms and restoration","interactions":[],"lastModifiedDate":"2025-12-17T16:03:03.075808","indexId":"70273158","displayToPublicDate":"2025-06-20T09:54:40","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Multiscale framework for assessing land cover change on barrier islands from extreme storms and restoration","docAbstract":"<p><span>Often found along the estuarine-marine interface, barrier islands and mainland coastal zones are shaped by tides, currents, extreme storms, and relative sea-level rise. These systems provide ecosystem services such as storm surge and wave attenuation, erosion protection to inland areas, habitat for fish and wildlife, recreation, and tourism. Given the importance of these ecosystems coupled with their dynamic nature, information on how these coastal systems are changing can help to inform natural resource management. Remote sensing advancements have led to an abundance of data for monitoring change in coastal settings. This study developed a multiscale framework that can provide trajectory information from screening-level analyses by using existing or custom moderate spatial resolution land cover maps. Using the north-central Gulf Coast as a case study, the trajectory of land cover area for barrier islands and mainland coastal zones was assessed using several geospatial data sets, including: (1) long-term moderate-resolution remote sensing products with an annual (or more frequent) temporal frequency; (2) a restoration database (</span><i>e.g.</i><span>, beach/dune restoration, sediment placement, and dune enhancement); and (3) a tropical storm database. Due to the coarser spatial resolution of data sets used for screening-level analyses, detailed or application-specific analyses are often needed to reduce uncertainty in smaller changes that may not be captured. These may include land cover change analyses (</span><i>i.e.</i><span>&nbsp;this study), periodic land cover maps with higher spatial resolution and more detailed land cover classes, or elevation-related analyses (</span><i>e.g.</i><span>, dune change or inundation change). Using this framework, abrupt changes in land cover on Dauphin Island, Alabama, resulting from extreme storms were detected using moderate spatial resolution screening-level data, while restoration impact analyses may require higher resolution data. Further, land cover change analyses that incorporate change allocation provide robust information for understanding land cover change in dynamic coastal settings.</span></p>","language":"English","publisher":"Coastal Education and Research Foundation, Inc.","doi":"10.2112/JCOASTRES-D-24-00084.1","usgsCitation":"Enwright, N., Dalyander, P.S., Stuht, C.M., Han, M., Palmsten, M.L., Davenport, T.M., Kingwill, C.J., Steyer, G., and La Peyre, M., 2025, Multiscale framework for assessing land cover change on barrier islands from extreme storms and restoration: Journal of Coastal Research, v. 41, no. 6, p. 1029-1042, https://doi.org/10.2112/JCOASTRES-D-24-00084.1.","productDescription":"14 p.","startPage":"1029","endPage":"1042","ipdsId":"IP-172879","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":497643,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88.40937976247565,\n              30.743725811842268\n            ],\n            [\n              -88.40937976247565,\n              29.56478712694208\n            ],\n            [\n              -83.91845836432758,\n              29.56478712694208\n            ],\n            [\n              -83.91845836432758,\n              30.743725811842268\n            ],\n            [\n              -88.40937976247565,\n              30.743725811842268\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"41","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Enwright, Nicholas 0000-0002-7887-3261","orcid":"https://orcid.org/0000-0002-7887-3261","contributorId":214839,"corporation":false,"usgs":true,"family":"Enwright","given":"Nicholas","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":952525,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dalyander, P. Soupy","contributorId":364329,"corporation":false,"usgs":false,"family":"Dalyander","given":"P.","middleInitial":"Soupy","affiliations":[{"id":81504,"text":"The Water Institute","active":true,"usgs":false}],"preferred":false,"id":952526,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stuht, Casey M.","contributorId":364330,"corporation":false,"usgs":false,"family":"Stuht","given":"Casey","middleInitial":"M.","affiliations":[{"id":83764,"text":"Cherokee Nation System Solutions, contracted to the U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":952527,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Han, Minoo 0000-0002-6009-602X","orcid":"https://orcid.org/0000-0002-6009-602X","contributorId":332099,"corporation":false,"usgs":false,"family":"Han","given":"Minoo","email":"","affiliations":[{"id":79381,"text":"Han Consulting contracted to U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":952528,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Palmsten, Margaret L. 0000-0002-6424-2338","orcid":"https://orcid.org/0000-0002-6424-2338","contributorId":239955,"corporation":false,"usgs":true,"family":"Palmsten","given":"Margaret","email":"","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":952529,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Davenport, Theresa M.","contributorId":364331,"corporation":false,"usgs":false,"family":"Davenport","given":"Theresa","middleInitial":"M.","affiliations":[{"id":86808,"text":"Louisiana State University, School of Renewable Natural Resources","active":true,"usgs":false}],"preferred":false,"id":952530,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kingwill, Christopher J.","contributorId":364332,"corporation":false,"usgs":false,"family":"Kingwill","given":"Christopher","middleInitial":"J.","affiliations":[{"id":83764,"text":"Cherokee Nation System Solutions, contracted to the U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":952531,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Steyer, Gregory 0000-0001-7231-0110","orcid":"https://orcid.org/0000-0001-7231-0110","contributorId":218813,"corporation":false,"usgs":true,"family":"Steyer","given":"Gregory","affiliations":[{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":952532,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"La Peyre, Megan 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":79375,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan","email":"mlapeyre@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952533,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70268398,"text":"70268398 - 2025 - Numerical simulation of sound-side barrier-island inundation and breaching during Hurricane Dorian (2019)","interactions":[],"lastModifiedDate":"2025-06-25T14:38:37.180303","indexId":"70268398","displayToPublicDate":"2025-06-20T09:31:40","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7357,"text":"JGR Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Numerical simulation of sound-side barrier-island inundation and breaching during Hurricane Dorian (2019)","docAbstract":"<p><span>Hurricane-induced morphological changes and associated community hazards along sandy, barrier-island coastlines have been studied primarily from the perspective of ocean-side attack by storm-driven ocean surge and large waves. Thus, our understanding of long-term barrier island morphological change focuses on beach erosion, overwash, and inlet formation. In contrast, outwash events with inundation from the sound side, such as one that occurred in Cape Lookout National Seashore, North Carolina, USA during Hurricane Dorian (September 2019), are understudied. Studying such events can improve understanding of barrier island response and stability for a broader range of conditions. Here, we model the hydrodynamics and morphological evolution of a barrier island using a coupled wave-current-sediment transport modeling system. Wind-driven surge in Pamlico Sound led to overtopping from the sound side, which eroded outwash channels and transported sediment seaward into the nearshore. Simulations reproduce the channel features observed with aerial imagery and provide information not available from the remote-sensing observations, including channel depths (&gt;2&nbsp;m) and the fate of the eroded sand. We found that &gt;99% of the eroded sand was deposited in the nearshore, within 1,000&nbsp;m of the shoreline in depths &lt;10&nbsp;m, suggesting that the deposited sediment remains available for littoral transport and beach recovery. Simulations with combinations of coarse or fine sediment and vegetated or unvegetated landcover indicate that channel position did not vary with grain size or vegetation, while volume of erosion and channel morphology were more responsive to variations in grain size and less responsive to presence of vegetation.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025JF008309","usgsCitation":"Warner, J.C., Sherwood, C.R., Hegermiller, C., Defne, Z., Zambon, J., He, R., Xue, G., Bao, D., Yin, D., and Moulton, M., 2025, Numerical simulation of sound-side barrier-island inundation and breaching during Hurricane Dorian (2019): JGR Earth Surface, v. 130, no. 6, e2025JF008309, 23 p., https://doi.org/10.1029/2025JF008309.","productDescription":"e2025JF008309, 23 p.","ipdsId":"IP-170654","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":491441,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025jf008309","text":"Publisher Index Page"},{"id":491278,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Outer Banks","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -76.5,\n              35.25\n            ],\n            [\n              -76.5,\n              34.75\n            ],\n            [\n              -75.5,\n              34.75\n            ],\n            [\n              -75.5,\n              35.25\n            ],\n            [\n              -76.5,\n              35.25\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"130","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":258015,"corporation":false,"usgs":true,"family":"Warner","given":"John","email":"jcwarner@usgs.gov","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":941217,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sherwood, Christopher R. 0000-0001-6135-3553 csherwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6135-3553","contributorId":2866,"corporation":false,"usgs":true,"family":"Sherwood","given":"Christopher","email":"csherwood@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":941218,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hegermiller, Christie A.","contributorId":357332,"corporation":false,"usgs":false,"family":"Hegermiller","given":"Christie A.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":941219,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Defne, Zafer 0000-0003-4544-4310 zdefne@usgs.gov","orcid":"https://orcid.org/0000-0003-4544-4310","contributorId":5520,"corporation":false,"usgs":true,"family":"Defne","given":"Zafer","email":"zdefne@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":941220,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zambon, Joseph B.","contributorId":336620,"corporation":false,"usgs":false,"family":"Zambon","given":"Joseph B.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":941221,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"He, Ruoying 0000-0001-6158-2292","orcid":"https://orcid.org/0000-0001-6158-2292","contributorId":202189,"corporation":false,"usgs":false,"family":"He","given":"Ruoying","email":"","affiliations":[],"preferred":false,"id":941222,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Xue, George","contributorId":294533,"corporation":false,"usgs":false,"family":"Xue","given":"George","email":"","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":941223,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bao, Daoyang","contributorId":294534,"corporation":false,"usgs":false,"family":"Bao","given":"Daoyang","email":"","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":941224,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Yin, Dongxiao","contributorId":294535,"corporation":false,"usgs":false,"family":"Yin","given":"Dongxiao","email":"","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":941225,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Moulton, Melissa","contributorId":305679,"corporation":false,"usgs":false,"family":"Moulton","given":"Melissa","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":941226,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70274598,"text":"70274598 - 2025 - Near-surface geophysics: Environmental applications","interactions":[],"lastModifiedDate":"2026-04-01T13:53:22.33473","indexId":"70274598","displayToPublicDate":"2025-06-20T08:47:58","publicationYear":"2025","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Near-surface geophysics: Environmental applications","docAbstract":"The field of geophysics encompasses a broad and diverse compilation of methodologies that employs principles of physics to characterize properties of earth materials within the subsurface. While geophysical methods have a long history in resource exploration and studies of Earth’s interior, the subdiscipline of “near-surface geophysics” has evolved in recent decades for examination of the shallow, near-surface environment for a range of purposes ranging from archaeological or forensic investigations to assessment of geologic, hydrologic, biologic, and geochemical properties and processes. “Environmental geophysics” are near-surface geophysical studies and methods that focus on understanding natural systems (e.g., watershed hydrology, groundwater–surface water connections, biophysical processes) as well as research pertaining to anthropogenic impacts and land management, (e.g., contamination and remediation, saltwater intrusion, agricultural practices). This field can be further subdivided into subdisciplines focused on specific topics and applications, such as water resources and hydrology (hydrogeophysics) or biologic and microbial processes (biogeophysics). Studies in environmental geophysics span a range of scales, from pore-scale laboratory tests to watershed-scale or regional field experiments. Methods vary by the nature of physics employed, the specific measurement acquired, and how that data is ultimately processed and analyzed to produce interpretable results. There exists further diversity in the acquisition logistics, geometry, and timing of data collection. Geophysical data can be collected in boreholes (one-dimensional, 1-D, vertical profiles), along survey lines (two-dimensional, 2-D, cross-sections), or in dense sensor arrays or gridded profiles (three-dimensional, 3-D, models). Regarding the temporal aspect, studies can conduct one-time geophysical surveys to obtain detailed imaging of subsurface structure or use timelapse and continuous monitoring to investigate variations in subsurface properties over time. The cumulation of all possible permutations of these factors (method, acquisition geometry, survey design, and target application) results in an immense diversity among environmental geophysical studies. Nevertheless, this field remains unified in the pursuit of understanding natural and human-impacted near-surface environments through geophysical investigations. Here we highlight some key references within environmental geophysics. Resources on geophysical theory, acquisition logistics, processing and inversion workflows, and example case studies are categorized into the most common geophysical classes within Geophysical Methods. Lastly, example references for the dominant types of applications in environmental geophysical studies are catalogued in Environmental Applications.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Oxford Bibliographies","largerWorkSubtype":{"id":11,"text":"Bibliography"},"language":"English","publisher":"Oxford University Press","doi":"10.1093/obo/9780199363445-0146","usgsCitation":"James, S.R., Glaser, D.R., and Garcia, A., 2025, Near-surface geophysics: Environmental applications, chap. <i>of</i> Oxford Bibliographies, HTML Document, https://doi.org/10.1093/obo/9780199363445-0146.","productDescription":"HTML Document","ipdsId":"IP-172909","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":501916,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2025-06-20","publicationStatus":"PW","contributors":{"authors":[{"text":"James, Stephanie R. 0000-0001-5715-253X","orcid":"https://orcid.org/0000-0001-5715-253X","contributorId":260620,"corporation":false,"usgs":true,"family":"James","given":"Stephanie","email":"","middleInitial":"R.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":958466,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glaser, Dan R.","contributorId":292710,"corporation":false,"usgs":false,"family":"Glaser","given":"Dan","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":958467,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Garcia, Alejandro","contributorId":369112,"corporation":false,"usgs":false,"family":"Garcia","given":"Alejandro","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":958468,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70268341,"text":"70268341 - 2025 - A coral core archive designed for transparency and accessibility","interactions":[],"lastModifiedDate":"2025-08-04T14:31:24.22113","indexId":"70268341","displayToPublicDate":"2025-06-20T07:57:04","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7602,"text":"Eos, American Geophysical Union","active":true,"publicationSubtype":{"id":10}},"title":"A coral core archive designed for transparency and accessibility","docAbstract":"<p>No abstract available.&nbsp;</p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025EO250226","usgsCitation":"Strange, A., Jasnos, O., Toth, L., Prouty, N.G., and DeCarlo, T.M., 2025, A coral core archive designed for transparency and accessibility: Eos, American Geophysical Union, HTML Document, https://doi.org/10.1029/2025EO250226.","productDescription":"HTML Document","ipdsId":"IP-174167","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":491107,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":491460,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025eo250226","text":"Publisher Index Page"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Strange, Avi","contributorId":357240,"corporation":false,"usgs":false,"family":"Strange","given":"Avi","affiliations":[{"id":13500,"text":"Tulane University","active":true,"usgs":false}],"preferred":false,"id":940864,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jasnos, Oliwia","contributorId":357241,"corporation":false,"usgs":false,"family":"Jasnos","given":"Oliwia","affiliations":[{"id":13500,"text":"Tulane University","active":true,"usgs":false}],"preferred":false,"id":940865,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Toth, Lauren T. 0000-0002-2568-802X ltoth@usgs.gov","orcid":"https://orcid.org/0000-0002-2568-802X","contributorId":181748,"corporation":false,"usgs":true,"family":"Toth","given":"Lauren","email":"ltoth@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":940866,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prouty, Nancy G. 0000-0002-8922-0688 nprouty@usgs.gov","orcid":"https://orcid.org/0000-0002-8922-0688","contributorId":3350,"corporation":false,"usgs":true,"family":"Prouty","given":"Nancy","email":"nprouty@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":940867,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeCarlo, Thomas M.","contributorId":190720,"corporation":false,"usgs":false,"family":"DeCarlo","given":"Thomas","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":940868,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70268680,"text":"70268680 - 2025 - Effects of nest exclosure on nest and adult survival of piping plover (Charadrius melodus) in the lower Platte River System, Nebraska","interactions":[],"lastModifiedDate":"2025-07-08T17:41:23.644381","indexId":"70268680","displayToPublicDate":"2025-06-19T10:36:54","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Effects of nest exclosure on nest and adult survival of piping plover (Charadrius melodus) in the lower Platte River System, Nebraska","docAbstract":"<p><span>Conservation of imperiled species often includes management strategies intended to improve specific vital rates. However, some management practices can have unforeseen consequences that negate the intended benefit. For example, nest exclosures are often used for ground-nesting avian species to reduce nest predation but may increase depredation of adults. Tradeoffs between nest survival and adult mortality of nest exclosures likely depend on local predator community dynamics. Therefore, investigations are most informative when assessed in specific settings. Piping Plovers (</span><i>Charadrius melodus</i><span>, hereafter plovers) in the lower Platte River system, Nebraska, nest at off-river sandpit sites, which provide an additional study system and habitat to assess the context-dependent effects of nest exclosures. The Tern and Plover Conservation Partnership monitors plovers at off-river sites by monitoring nests, installing nest exclosures, and banding and resighting. Effects of nest exclosures were tested on both nest survival, from 340 plover nests from 2008–2024, and weekly within-season apparent survival, from 71 breeding adults from 2011–2024. There was weak evidence that nest exclosures marginally improved nest survival but no evidence of an effect for within-season survival of breeding adults. Daily nest survival was slightly higher for exclosed nests (0.99, [85% CI = 0.98–0.99]) than unexclosed nests (0.98, [0.98–0.99]). Within-season apparent weekly survival for breeding plovers was 0.90 (95% CI = 0.83–0.93); cumulative survival over the breeding period was 0.51 (0.33–0.69). Nest exclosures may be used to increase nest survival at off-river sites with minimal threat to adult survival unless considerable concerns arise.</span></p>","language":"English","publisher":"BioOne","doi":"10.1675/063.048.0104","usgsCitation":"Forsberg, E., Jorgensen, J., Swift, R.J., Powell, L., and Vrtiska, M., 2025, Effects of nest exclosure on nest and adult survival of piping plover (Charadrius melodus) in the lower Platte River System, Nebraska: Waterbirds, v. 48, no. 1, p. 1-11, https://doi.org/10.1675/063.048.0104.","productDescription":"11 p.","startPage":"1","endPage":"11","ipdsId":"IP-172280","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":491843,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","otherGeospatial":"lower Platte River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -97.33459195909862,\n              41.998911775825974\n            ],\n            [\n              -97.33459195909862,\n              40.042135850408954\n            ],\n            [\n              -95.48004775335434,\n              40.042135850408954\n            ],\n            [\n              -95.48004775335434,\n              41.998911775825974\n            ],\n            [\n              -97.33459195909862,\n              41.998911775825974\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"48","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Forsberg, Elsa M.","contributorId":357514,"corporation":false,"usgs":false,"family":"Forsberg","given":"Elsa M.","affiliations":[{"id":16602,"text":"University of Nebraska, Lincoln","active":true,"usgs":false}],"preferred":false,"id":941630,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jorgensen, Joel G.","contributorId":169604,"corporation":false,"usgs":false,"family":"Jorgensen","given":"Joel G.","affiliations":[{"id":25564,"text":"Nongame Bird Program, Nebraska Game and Parks Commission, Lincoln, NE 68503","active":true,"usgs":false}],"preferred":false,"id":941631,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swift, Rose J. 0000-0001-7044-6196","orcid":"https://orcid.org/0000-0001-7044-6196","contributorId":212082,"corporation":false,"usgs":true,"family":"Swift","given":"Rose","email":"","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":941632,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Powell, Larkin A.","contributorId":352292,"corporation":false,"usgs":false,"family":"Powell","given":"Larkin A.","affiliations":[{"id":84162,"text":"School of Natural Resources, University of Nebraska-Lincoln, Lincoln, Nebraska USA","active":true,"usgs":false}],"preferred":false,"id":941633,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vrtiska, Mark P.","contributorId":342638,"corporation":false,"usgs":false,"family":"Vrtiska","given":"Mark P.","affiliations":[{"id":81901,"text":"Nebraska-Lincoln, Lincoln","active":true,"usgs":false}],"preferred":false,"id":941634,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70273971,"text":"70273971 - 2025 - Streamflow regime characterization in the changing boreal ecosystem: Wildfire impacts from stream-to-regional scales","interactions":[],"lastModifiedDate":"2026-02-20T17:06:56.875893","indexId":"70273971","displayToPublicDate":"2025-06-19T09:57:48","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Streamflow regime characterization in the changing boreal ecosystem: Wildfire impacts from stream-to-regional scales","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>The boreal ecosystem has experienced significant changes over recent decades as wildfires become more frequent, intense, and severe. As streams are highly prevalent and ecologically relevant, understanding interactions among wildfire and hydrologic patterns is important for effective&nbsp;aquatic ecosystem&nbsp;management. This study used a Bayesian mixture model to classify&nbsp;streamflow&nbsp;regimes from modeled&nbsp;streamflow&nbsp;data for 32,730 stream reaches (totaling 295,880&nbsp;km) across the Yukon and Kuskokwim basins and the Northwestern Boreal Ecosystem in Alaska,&nbsp;USA, and Yukon Territory, Canada. We assessed time since burn and calculated the total length of stream (km) within burn perimeters for each streamflow class from 1985 to 2015. Additionally, we used field observations (2018–2022) to compare streamflow regimes in four burned and four unburned&nbsp;headwater&nbsp;streams (drainage basins ≤150&nbsp;km</span><sup>2</sup><span>) in interior Alaska. Modeled stream reaches were grouped into twenty-two classes and reduced to eleven metaclasses based on similarities in streamflow statistics. These metaclasses formed two broad groups: 1) large rivers with lower variability and strong seasonal signals, and 2) mid- to small-sized tributaries with high variability, frequent high flow events, and weaker seasonal signals. The stream length burned analysis indicated an average increase of 47&nbsp;km per year with first- and second-order streams experiencing more frequent fire. Empirical streamflow metrics from&nbsp;headwater&nbsp;stream gages revealed additional differences in streamflow patterns between burned and unburned streams. This streamflow classification establishes a baseline for understanding boreal stream responses to wildfire, detecting climate-induced regime shifts, and facilitating management and conservation of important boreal&nbsp;aquatic species.</span></span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2025.179770","usgsCitation":"Strohm, D.D., Sergeant, C.J., Paul, J.D., Falke, J.A., 2025, Streamflow regime characterization in the changing boreal ecosystem: Wildfire impacts from stream-to-regional scales: Science of the Total Environment, v. 991, 179770, 14 p., https://doi.org/10.1016/j.scitotenv.2025.179770.","productDescription":"179770, 14 p.","ipdsId":"IP-173153","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500353,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Boreal Yukon-Kuskokwim study area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -151.25073280649116,\n              65.22533418311923\n            ],\n            [\n              -151.08883708497373,\n              64.1874521027234\n            ],\n            [\n              -147.81756784832672,\n              64.90432777046252\n            ],\n            [\n              -144.75370718998238,\n              64.258653756473\n            ],\n            [\n              -144.56100126166737,\n              65.39083680482943\n            ],\n            [\n              -148.2119885011982,\n              65.53590677988976\n            ],\n            [\n              -151.25073280649116,\n              65.22533418311923\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"991","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Strohm, Deanna D.","contributorId":366469,"corporation":false,"usgs":false,"family":"Strohm","given":"Deanna","middleInitial":"D.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":955951,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sergeant, Christopher J.","contributorId":140496,"corporation":false,"usgs":false,"family":"Sergeant","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":955953,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paul, Josh D.","contributorId":366470,"corporation":false,"usgs":false,"family":"Paul","given":"Josh","middleInitial":"D.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":955954,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Falke, Jeffrey A. 0000-0002-6670-8250 jfalke@usgs.gov","orcid":"https://orcid.org/0000-0002-6670-8250","contributorId":5195,"corporation":false,"usgs":true,"family":"Falke","given":"Jeffrey","email":"jfalke@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":955952,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70268334,"text":"70268334 - 2025 - Disparate groundwater responses to wildfire","interactions":[],"lastModifiedDate":"2025-06-23T14:34:47.223906","indexId":"70268334","displayToPublicDate":"2025-06-19T09:32:25","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5067,"text":"WIREs Water","active":true,"publicationSubtype":{"id":10}},"title":"Disparate groundwater responses to wildfire","docAbstract":"<p><span>Post-wildfire investigations of groundwater response reveal a range of outcomes, varying from substantial increases to notable decreases in recharge and baseflow, with some studies indicating negligible or short-lived effects. This review assesses these varied responses within five critical categories: climate, vegetation, hydrogeology, fire characteristics, and the cryosphere, examining both short-term (within 2 years) and intermediate (2–10 years post-fire) effects. Despite considerable variability, some consistent patterns emerge. For instance, in hydroclimatic settings where water input and evaporative demand cycles are out of sync, post-wildfire groundwater responses tend to be positive (i.e., increased flux or storage), whereas under low fire severity conditions or in vegetation types that quickly recover, groundwater responses tend to be negative (i.e., decreased flux or storage). We synthesize relevant findings into a compendium of testable hypotheses aimed at explaining the spatiotemporal variability in observed post-wildfire groundwater responses. A recurring theme is the critical influence of the pre-wildfire groundwater regime on expected response and recovery. We identify opportunities for specific improvements in post-wildfire monitoring and modeling that would further advance capabilities to predict groundwater response. A key area for further research is understanding how wildfire effects on snow dynamics and other cryospheric processes translate to changes in groundwater.</span></p>","language":"English","publisher":"Wiley Interdisciplinary Reviews","doi":"10.1002/wat2.70029","usgsCitation":"Walvoord, M.A., Ebel, B., Partridge, T.F., Rey, D., and Rosenberry, D., 2025, Disparate groundwater responses to wildfire: WIREs Water, v. 12, no. 3, e70029, 22 p., https://doi.org/10.1002/wat2.70029.","productDescription":"e70029, 22 p.","ipdsId":"IP-178452","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":491494,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wat2.70029","text":"Publisher Index Page"},{"id":491099,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-06-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Walvoord, Michelle A. 0000-0003-4269-8366","orcid":"https://orcid.org/0000-0003-4269-8366","contributorId":211843,"corporation":false,"usgs":true,"family":"Walvoord","given":"Michelle","email":"","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":940839,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ebel, Brian A. 0000-0002-5413-3963","orcid":"https://orcid.org/0000-0002-5413-3963","contributorId":211845,"corporation":false,"usgs":true,"family":"Ebel","given":"Brian A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":940840,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Partridge, Trevor Fuess 0000-0003-1589-4783","orcid":"https://orcid.org/0000-0003-1589-4783","contributorId":302668,"corporation":false,"usgs":true,"family":"Partridge","given":"Trevor","email":"","middleInitial":"Fuess","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":940841,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rey, David M. 0000-0003-2629-365X","orcid":"https://orcid.org/0000-0003-2629-365X","contributorId":211848,"corporation":false,"usgs":true,"family":"Rey","given":"David M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":940842,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rosenberry, D.O. 0000-0003-0681-5641","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":38500,"corporation":false,"usgs":true,"family":"Rosenberry","given":"D.O.","affiliations":[],"preferred":true,"id":940843,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70268363,"text":"70268363 - 2025 - Public supply water delivery analysis and estimation for the conterminous United States","interactions":[],"lastModifiedDate":"2025-06-25T13:12:44.133817","indexId":"70268363","displayToPublicDate":"2025-06-19T09:29:44","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Public supply water delivery analysis and estimation for the conterminous United States","docAbstract":"<p><span>Public supply water withdrawals represent 14% of all withdrawals in the conterminous United States (CONUS), supplying approximately 87% of the population with fresh water. Deliveries for public water supply are crucial for associating water use amounts with populations because they often differ from total withdrawals due to wholesales, transfers, losses, and other factors. Understanding these differences helps identify the drivers for each type of delivery. The goal of this study was to compile all available public water supply delivery data for the CONUS and develop a data-driven model to estimate deliveries for all water service areas within the CONUS. Annual deliveries were estimated between 2010 and 2020, encompassing total water deliveries; combined commercial, industrial, and institutional deliveries (CII); and domestic deliveries. Data were compiled for 2,744 water service areas to produce the most comprehensive public water supply delivery data set for the CONUS to date. Three ensemble modeling approaches were developed to estimate total, CII, and domestic per capita (DPC) deliveries using a gradient boosted regression tree modeling approach. Estimates of daily domestic and CII per capita deliveries were generated from these models for approximately 18,800 water service areas, covering most public water systems in the CONUS. Domestic delivery was found to be lowest in the midwestern region and higher in the southern and southwest regions of the United States. Results indicate that climate and land use can be associated with regional differences in DPC delivery. Population metrics and land use were identified as significant contributors to CII delivery estimates.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024WR039271","usgsCitation":"Larsen, J., Alzraiee, A.H., Niswonger, R., Martin, D., Buchwald, C.A., Dieter, C., Luukkonen, C.L., Stewart, J.S., Paulinski, S., Miller, L.D., and Houston, N., 2025, Public supply water delivery analysis and estimation for the conterminous United States: Water Resources Research, v. 61, no. 6, e2024WR039271, 20 p., https://doi.org/10.1029/2024WR039271.","productDescription":"e2024WR039271, 20 p.","ipdsId":"IP-156956","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":491500,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024wr039271","text":"Publisher Index Page"},{"id":491183,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"conterminous United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"geometry\": {\n        \"type\": \"MultiPolygon\",\n        \"coordinates\": [\n          [\n            [\n              [\n                -94.81758,\n                49.38905\n              ],\n              [\n                -94.64,\n                48.84\n              ],\n              [\n                -94.32914,\n                48.67074\n              ],\n              [\n                -93.63087,\n                48.60926\n              ],\n              [\n                -92.61,\n                48.45\n              ],\n              [\n                -91.64,\n                48.14\n              ],\n              [\n                -90.83,\n            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]\n}","volume":"61","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Larsen, Joshua 0000-0002-1218-800X jlarsen@usgs.gov","orcid":"https://orcid.org/0000-0002-1218-800X","contributorId":272403,"corporation":false,"usgs":true,"family":"Larsen","given":"Joshua","email":"jlarsen@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941107,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alzraiee, Ayman H. 0000-0001-7576-3449","orcid":"https://orcid.org/0000-0001-7576-3449","contributorId":272120,"corporation":false,"usgs":true,"family":"Alzraiee","given":"Ayman","email":"","middleInitial":"H.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941108,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Niswonger, Richard G. 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,{"id":70268390,"text":"70268390 - 2025 - Rapid emplacement of the Keaiwa Lava Flow of 1823 from the Great Crack in the Southwest Rift Zone of Kilauea volcano","interactions":[],"lastModifiedDate":"2025-06-24T14:27:46.198157","indexId":"70268390","displayToPublicDate":"2025-06-19T09:20:50","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Rapid emplacement of the Keaīwa Lava Flow of 1823 from the Great Crack in the Southwest Rift Zone of Kīlauea volcano","title":"Rapid emplacement of the Keaiwa Lava Flow of 1823 from the Great Crack in the Southwest Rift Zone of Kilauea volcano","docAbstract":"<p><span>The Keaīwa Lava Flow of 1823 in the Southwest Rift Zone of Kīlauea volcano is unusual for its expansive pāhoehoe sheet flow morphology and lack of constructive vent topography, despite having a similar tholeiitic basalt composition to other lavas erupted from Kīlauea. This lava flow issued from a&nbsp;∼10-km-long continuous fissure now known as the Great Crack, and has an unusually thin sheet flow morphology with margin thicknesses of ∼15–110&nbsp;cm (average of 42&nbsp;cm). Based on field observations of the lava flow at its fissure vent (e.g., drain-back features), we propose that the Great Crack formed, or at least significantly widened, just prior to and syn-eruptively with this 1823 eruption. The absence of pyroclastic cones or spatter ramparts indicates that the eruption consisted of a rapid outpouring of relatively degassed lava as the fissure unzipped. The rapidly moving lava flow overtopped pre-existing tumuli and scoria cones (e.g., Lava Plastered Cones) up to ∼10&nbsp;m tall. Glass and whole-rock chemistry yield homogeneous compositions for the lavas erupted from the Great Crack, with glass compositions of 6.40&nbsp;±&nbsp;0.10&nbsp;wt% MgO and whole-rock compositions of 7.39&nbsp;±&nbsp;0.07&nbsp;wt% MgO. Lava pads erupted from a short western fissure system are richer in mafic minerals (e.g., olivine and clinopyroxene), and show slightly more MgO-rich whole-rock compositions (7.79&nbsp;±&nbsp;0.05&nbsp;wt%). MgO-in-glass thermometry on juvenile spatter yield eruption temperatures of 1153&nbsp;±&nbsp;13°C that are typical of Kīlauea lavas. Thus, the extensive sheet-like lava flow morphology is not a direct consequence of unusual magmatic or rheological conditions (i.e., low viscosity). Instead, the flow morphology is associated with high effusion rates caused by sudden drainage of uprift magma as it erupted from the Great Crack. Lava flow modeling on a 2-m-resolution digital elevation model indicates that a minimum bulk effusion rate of ∼5800&nbsp;m</span><sup>3</sup><span>/s (∼3500&nbsp;m</span><sup>3</sup><span>/s dense rock equivalent) and a minimum flow velocity of ∼11&nbsp;m/s are required for the lava flow to overcome the topography of the Lava Plastered Cones. This effusion rate is among the highest inferred for eruptions in Hawaiʻi and around the world. This study highlights a less frequent eruption style at Hawaiian volcanoes characterized by a sudden outpouring of lava from an unusual fissure system. Local eyewitness accounts indicate that the 1823 eruption was preceded by seismicity. Given the complex magmatic-volcanic-tectonic relations across Kīlauea, we speculate that the south flank could have slipped over one or more events that ultimately triggered unzipping of the Great Crack and passive release of briefly stored uprift magma. An eruption similar to 1823 at Kīlauea or Mauna Loa, with an eruptive timeframe that could be as short as an hour, with high effusion rates and rapid flow front velocities, would not easily allow for a timely response.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2025.108391","usgsCitation":"Tonato, A., Shea, T., Downs, D.T., and Kelfoun, K., 2025, Rapid emplacement of the Keaiwa Lava Flow of 1823 from the Great Crack in the Southwest Rift Zone of Kilauea volcano: Journal of Volcanology and Geothermal Research, v. 466, 108391, 18 p., https://doi.org/10.1016/j.jvolgeores.2025.108391.","productDescription":"108391, 18 p.","ipdsId":"IP-169862","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":494405,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jvolgeores.2025.108391","text":"Publisher Index Page"},{"id":491181,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Great Crack in the Southwest Rift Zone of Kīlauea volcano, Keaīwa Lava Flow","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -155.2184297752859,\n              19.437317498221987\n            ],\n            [\n              -155.5,\n              19.437317498221987\n            ],\n            [\n              -155.5,\n              19.1667\n            ],\n            [\n              -155.2184297752859,\n              19.1667\n            ],\n            [\n              -155.2184297752859,\n              19.437317498221987\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"466","noUsgsAuthors":false,"publicationDate":"2025-06-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Tonato, Andrea","contributorId":352882,"corporation":false,"usgs":false,"family":"Tonato","given":"Andrea","affiliations":[{"id":64253,"text":"University of Hawaiʻi at Mānoa","active":true,"usgs":false}],"preferred":false,"id":941184,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shea, Thomas","contributorId":236886,"corporation":false,"usgs":false,"family":"Shea","given":"Thomas","affiliations":[{"id":47560,"text":"University of Hawaii Manoa","active":true,"usgs":false}],"preferred":false,"id":941185,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Downs, Drew T. 0000-0002-9056-1404 ddowns@usgs.gov","orcid":"https://orcid.org/0000-0002-9056-1404","contributorId":173516,"corporation":false,"usgs":true,"family":"Downs","given":"Drew","email":"ddowns@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":941186,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kelfoun, Karim","contributorId":333750,"corporation":false,"usgs":false,"family":"Kelfoun","given":"Karim","email":"","affiliations":[{"id":79967,"text":"Laboratoire Magmas et Volcans, Université Clermont Auvergne, Clermont-Ferrand, France","active":true,"usgs":false}],"preferred":false,"id":941187,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70268349,"text":"70268349 - 2025 - Expression of corticoid-regulatory genes in the gills of Atlantic salmon (Salmo salar) parr and smolt and during salinity acclimation","interactions":[],"lastModifiedDate":"2025-06-23T14:13:14.985143","indexId":"70268349","displayToPublicDate":"2025-06-19T09:10:15","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2285,"text":"Journal of Fish Biology","active":true,"publicationSubtype":{"id":10}},"title":"Expression of corticoid-regulatory genes in the gills of Atlantic salmon (Salmo salar) parr and smolt and during salinity acclimation","docAbstract":"<p><span>In teleost fishes, cortisol is the major corticoid and has both glucocorticoid and mineralocorticoid actions. However, how fish tissues discriminate between these distinct corticosteroid actions is unclear. In mammals, the major factors responsible for intracellular corticosteroid regulation are glucocorticoid receptors (</span><i>gr</i><span>s) and the mineralocorticoid receptor (</span><i>mr</i><span>), but their role in osmoregulation of fish is unclear. 11β-hydroxysteroid dehydrogenases (</span><i>hsd11b</i><span>s) control the levels of intracellular corticosteroids by converting from bioactive forms to inert forms. To investigate how Atlantic salmon (</span><i>Salmo salar</i><span>) respond to cortisol in different physiological or environmental conditions, we performed comparisons of parr and smolt, and osmotic challenge experiments to examine the physiological responses and gill transcript levels of genes underlying cortisol-signalling, including&nbsp;</span><i>gr1</i><span>,&nbsp;</span><i>gr2</i><span>,&nbsp;</span><i>mr</i><span>,&nbsp;</span><i>hsd11b2</i><span>&nbsp;and&nbsp;</span><i>hsd11b3</i><span>. Because cortisol may interact with growth hormone and prolactin during salinity changes, transcript levels encoding growth hormone receptors (</span><i>ghr1</i><span>,&nbsp;</span><i>ghr2</i><span>) and the prolactin receptor (</span><i>prlr</i><span>) were also examined.&nbsp;</span><i>Hsd11b2</i><span>&nbsp;transcript levels in seawater-acclimated fish were consistently lower compared to fish acclimated to fresh water. After transfer to seawater,&nbsp;</span><i>prlr</i><span>&nbsp;transcript levels in fish significantly decreased and transcript levels of&nbsp;</span><i>ghr1</i><span>,&nbsp;</span><i>ghr2</i><span>&nbsp;and&nbsp;</span><i>hsd11b3</i><span>&nbsp;showed no change or were slightly higher than those of freshwater control groups.&nbsp;</span><i>Gr1</i><span>,&nbsp;</span><i>gr2</i><span>&nbsp;and&nbsp;</span><i>mr</i><span>&nbsp;transcript levels were slightly but consistently higher in fish acclimated to fresh water relative to seawater. Our results indicate that changes in corticosteroid receptor and&nbsp;</span><i>hsd11b2</i><span>&nbsp;transcript levels in the gills may be important mechanisms that regulate corticoid signals to achieve ion homeostasis in Atlantic salmon.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/jfb.70119","usgsCitation":"Kusakabe, M., Yada, T., Young, G., Regish, A.M., and McCormick, S.D., 2025, Expression of corticoid-regulatory genes in the gills of Atlantic salmon (Salmo salar) parr and smolt and during salinity acclimation: Journal of Fish Biology, https://doi.org/10.1111/jfb.70119.","ipdsId":"IP-170507","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":491455,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jfb.70119","text":"Publisher Index Page"},{"id":491096,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Online First","noUsgsAuthors":false,"publicationDate":"2025-06-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Kusakabe, Makoto","contributorId":357249,"corporation":false,"usgs":false,"family":"Kusakabe","given":"Makoto","affiliations":[{"id":85369,"text":"Shizuoka University","active":true,"usgs":false}],"preferred":false,"id":940905,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yada, Takashi","contributorId":357250,"corporation":false,"usgs":false,"family":"Yada","given":"Takashi","affiliations":[{"id":85372,"text":"National Research Institute of Fisheries Science","active":true,"usgs":false}],"preferred":false,"id":940906,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Young, Graham","contributorId":357251,"corporation":false,"usgs":false,"family":"Young","given":"Graham","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":940907,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Regish, Amy M. 0000-0003-4747-4265","orcid":"https://orcid.org/0000-0003-4747-4265","contributorId":265360,"corporation":false,"usgs":true,"family":"Regish","given":"Amy","email":"","middleInitial":"M.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":940908,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":940909,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70268890,"text":"70268890 - 2025 - Soil-microbial communities respond less than plant communities to synthetic- or bio-herbicides applied to address the exotic grass-fire cycle in rangelands","interactions":[],"lastModifiedDate":"2025-07-10T13:44:52.101126","indexId":"70268890","displayToPublicDate":"2025-06-19T08:37:27","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Soil-microbial communities respond less than plant communities to synthetic- or bio-herbicides applied to address the exotic grass-fire cycle in rangelands","docAbstract":"<p><span>The exotic grass-fire cycle is degrading semiarid rangelands, such as the vast areas of shrub-steppe in North America now invaded by fire-promoting cheatgrass. Chemical- or bio-herbicides are sprayed onto soils to inhibit the invaders, but information on chemical- or bio-herbicide impacts to soil microbial communities is limited. We asked how the soil-microbiome responded to the bioherbicide&nbsp;</span><i>Pseudomonas fluorescens</i><span>&nbsp;strain ACK55 in comparison to the separate and combined effects of a conventional pre-emergent chemical herbicide, imazapic, in two cheatgrass-invaded sagebrush-steppe sites. First-year microbial responses were evaluated using targeted sequencing of the 16S and LSU rRNA genes for bacteria+archaea and fungi, respectively, and were related to plant-community responses. A strong cheatgrass reduction with imazapic at one site was accompanied by a small shift in bacteria+archaea (16S) community composition with no effect on microbial alpha diversity, and this shift was small in comparison to natural microbiome variation between sites. ACK55 was not detected in soil a year after application, and it caused only transient and marginally significant reductions in annual grass cover accompanied by small reductions in soil fungi species richness. Full-length sequencing of the ACK55 16S rRNA gene and phylogenetic analyses revealed that ACK55 is more likely&nbsp;</span><i>P. salmonii</i><span>&nbsp;than&nbsp;</span><i>P. fluorescens</i><span>. Knowledge gaps remain on the duration and consequences of microbial-community shifts with imazapic and why molecular analyses showed ACK55 did not persist in soils. Confusion regarding microbial biopesticides can result where isolation, effectiveness testing, commercial release, and regulation are not guided by molecular taxonomic analyses.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2025.179831","usgsCitation":"Lazarus, B., Mueller, R., and Germino, M., 2025, Soil-microbial communities respond less than plant communities to synthetic- or bio-herbicides applied to address the exotic grass-fire cycle in rangelands: Science of the Total Environment, v. 991, 179831, 11 p., https://doi.org/10.1016/j.scitotenv.2025.179831.","productDescription":"179831, 11 p.","ipdsId":"IP-171773","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":492005,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Snake River Plain","volume":"991","noUsgsAuthors":false,"publicationDate":"2025-06-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Lazarus, Brynne E 0000-0002-6352-486X","orcid":"https://orcid.org/0000-0002-6352-486X","contributorId":357758,"corporation":false,"usgs":true,"family":"Lazarus","given":"Brynne E","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":942509,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mueller, Rebecca","contributorId":357759,"corporation":false,"usgs":false,"family":"Mueller","given":"Rebecca","affiliations":[{"id":85553,"text":"USDA-ARS Western Regional Research Center, Albany, CA","active":true,"usgs":false}],"preferred":false,"id":942510,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Germino, Matthew 0000-0001-6326-7579","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":218007,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":942511,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70269030,"text":"70269030 - 2025 - Navigating the possibilities and pitfalls of biocrust recovery in a changing climate","interactions":[],"lastModifiedDate":"2025-07-14T13:33:03.584001","indexId":"70269030","displayToPublicDate":"2025-06-19T08:31:26","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":724,"text":"American Journal of Botany","active":true,"publicationSubtype":{"id":10}},"title":"Navigating the possibilities and pitfalls of biocrust recovery in a changing climate","docAbstract":"<p><span>Biological soil crusts are complex communities composed of lichens, mosses, bacteria, and cyanobacteria that create a living skin on the soil surface across drylands worldwide. Although small in size, the vast area that biocrusts cover and the critical functions they provide make them a cornerstone of dryland health and resiliency. In addition to being important, biocrusts are exceptionally vulnerable to certain types of disturbance. Although they can withstand a wide range of temperatures and long periods without precipitation, biocrusts are highly sensitive to land-use change and are vulnerable to physical and compressional disturbance (i.e., trampling, vehicles, cattle, heavy machinery). In the face of these disturbances, a critical, long-standing question of interest to dryland ecologists is: Can biocrusts recover following disturbance without active intervention. If so, how long does it take? Early estimates of biocrust recovery suggested recovery can be incredibly slow (on the order of thousands of years), with more modern studies finding potential for faster recovery, especially with intervention. Multiple lines of evidence agree that recovery is context dependent, differing across climates, soils, and with the types of disturbance and biocrust. Additionally, active restoration of biocrusts is becoming more common as tractable strategies are developed for facilitating the establishment of biocrusts after disturbance. Here, we add to the body of knowledge about biocrust recovery following disturbances by reviewing recovery patterns, their connection to climate change, considerations for recovery in changing climates, and the role of restoration.</span></p>","language":"English","publisher":"Botanical Society of AMerica","doi":"10.1002/ajb2.70055","usgsCitation":"Phillips, M.L., Young, K.E., Lauria, C.M., Jech, S., Giraldo-Silva, A., and Reed, S., 2025, Navigating the possibilities and pitfalls of biocrust recovery in a changing climate: American Journal of Botany, v. 112, e70055, 8 p., https://doi.org/10.1002/ajb2.70055.","productDescription":"e70055, 8 p.","ipdsId":"IP-176307","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":492481,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ajb2.70055","text":"Publisher Index Page"},{"id":492193,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"112","noUsgsAuthors":false,"publicationDate":"2025-06-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Phillips, Michala Lee 0000-0001-7005-8740","orcid":"https://orcid.org/0000-0001-7005-8740","contributorId":245186,"corporation":false,"usgs":true,"family":"Phillips","given":"Michala","email":"","middleInitial":"Lee","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":942951,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, Kristina E.","contributorId":210572,"corporation":false,"usgs":false,"family":"Young","given":"Kristina","email":"","middleInitial":"E.","affiliations":[{"id":38116,"text":"Department of Biological Sciences, University of Texas at El Paso, El Paso, TX 79902, USA","active":true,"usgs":false}],"preferred":false,"id":942952,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lauria, Cara Marie 0000-0001-8914-8041","orcid":"https://orcid.org/0000-0001-8914-8041","contributorId":271066,"corporation":false,"usgs":true,"family":"Lauria","given":"Cara","email":"","middleInitial":"Marie","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":942953,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jech, Sierra","contributorId":292726,"corporation":false,"usgs":false,"family":"Jech","given":"Sierra","email":"","affiliations":[{"id":36627,"text":"University of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":942954,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Giraldo-Silva, Ana","contributorId":357982,"corporation":false,"usgs":false,"family":"Giraldo-Silva","given":"Ana","affiliations":[{"id":85571,"text":"Public University of Navarre","active":true,"usgs":false}],"preferred":false,"id":942955,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reed, Sasha C. 0000-0002-8597-8619","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":207498,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":942956,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70268144,"text":"fs20253032 - 2025 - An estimate of undiscovered, technically recoverable oil and gas resources underlying Federal lands of the onshore United States, 2025","interactions":[],"lastModifiedDate":"2025-06-18T17:53:50.118297","indexId":"fs20253032","displayToPublicDate":"2025-06-18T11:50:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-3032","displayTitle":"An Estimate of Undiscovered, Technically Recoverable Oil and Gas Resources Underlying Federal Lands of the Onshore United States, 2025","title":"An estimate of undiscovered, technically recoverable oil and gas resources underlying Federal lands of the onshore United States, 2025","docAbstract":"<p>Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean allocated resources of 29.4 billion barrels of oil, 391.6 trillion cubic feet of gas, and 8.4 billion barrels of natural gas liquids underlying Federal lands of the onshore United States.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20253032","programNote":"National and Global Petroleum Assessment","usgsCitation":"Schenk, C.J., Mercier, T.J., and the 1995–2025 National and Global Oil and Gas Assessment Project Federal Lands Resource Allocation Team, 2025, An estimate of undiscovered, technically recoverable oil and gas resources underlying Federal lands of the onshore United States, 2025:  U.S. Geological Survey Fact Sheet 2025–3032, 6 p., https://doi.org/10.3133/fs20253032.","productDescription":"Report: 5 p.; Data Release","onlineOnly":"N","ipdsId":"IP-177732","costCenters":[{"id":164,"text":"Central Energy Resources Science 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80225-0046</p>","tableOfContents":"<ul><li>Introduction</li><li>Conventional and Continuous Oil and Gas Resources</li><li>Quantitative Methodology</li><li>Summary of Allocated Mean Oil, Gas, and Natural Gas Liquid Resources</li><li>References Cited</li></ul>","publishedDate":"2025-06-18","noUsgsAuthors":false,"publicationDate":"2025-06-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Schenk, Christopher J. 0000-0002-0248-7305 schenk@usgs.gov","orcid":"https://orcid.org/0000-0002-0248-7305","contributorId":826,"corporation":false,"usgs":true,"family":"Schenk","given":"Christopher","email":"schenk@usgs.gov","middleInitial":"J.","affiliations":[{"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":940328,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mercier, Tracey J. 0000-0002-8232-525X","orcid":"https://orcid.org/0000-0002-8232-525X","contributorId":255366,"corporation":false,"usgs":true,"family":"Mercier","given":"Tracey J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":940329,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"the 1995–2025 National and Global Oil and Gas Assessment Project Federal Lands Resource Allocation Team","contributorId":356740,"corporation":true,"usgs":false,"organization":"the 1995–2025 National and Global Oil and Gas Assessment Project Federal Lands Resource Allocation Team","id":940330,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70268938,"text":"70268938 - 2025 - Causes of differential migration distance: Test of seven mechanistic hypotheses in an arctic raptor","interactions":[],"lastModifiedDate":"2025-07-11T15:15:54.278729","indexId":"70268938","displayToPublicDate":"2025-06-18T10:13:27","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":981,"text":"Behavioral Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Causes of differential migration distance: Test of seven mechanistic hypotheses in an arctic raptor","docAbstract":"<p><span>Exploring the causes of differential migration, or variation in migration distance, has increased our understanding of the remarkable variation in migratory behavior exhibited by birds more generally. However, considerable uncertainty exists regarding the mechanisms underlying differential migration distance in birds despite it being a common phenomenon. We leveraged migration distances from GPS-tracked rough-legged hawks&nbsp;</span><i>Buteo lagopus</i><span>&nbsp;to test predictions deduced from seven hypotheses proposed to explain the underlying cause(s) of differential migration distance. We provide the first empirical evidence in support of a social dominance food maximization hypothesis whereby dominant individuals migrate to higher quality nonbreeding locations with respect to foraging efficiency regardless of migration distance. Within females, larger more dominant individuals migrated intermediate distances while smaller, subordinate individuals migrated both longer and shorter distances. We also found support for the social dominance distance minimization hypothesis because more aggressive females migrated shorter distances, although increased aggression at shorter distances may be a consequence of poor body condition. Within males, we found some support for the fasting endurance and thermal tolerance hypotheses because body size was negatively correlated with migration distance. Body size was also negatively correlated with food availability and winter minimum temperatures within both sexes, providing additional mechanistic support for the fasting endurance and thermal tolerance hypotheses. Overall, our results suggest differential migration distance within rough-legged hawks is caused by a combination of competition for nonbreeding resources and constraints on fasting endurance or thermal tolerance, but is unrelated to competition for breeding opportunities, dietary preferences, or flight efficiency.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/beheco/araf072","usgsCitation":"Paprocki, N., Kidd, J., Warne, R., Macedo, A., and Conway, C.J., 2025, Causes of differential migration distance: Test of seven mechanistic hypotheses in an arctic raptor: Behavioral Ecology, v. 36, no. 4, araf072, https://doi.org/10.1093/beheco/araf072.","productDescription":"araf072","ipdsId":"IP-173781","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":492136,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-06-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Paprocki, Neil","contributorId":354983,"corporation":false,"usgs":false,"family":"Paprocki","given":"Neil","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":942674,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kidd, Jeff W","contributorId":243473,"corporation":false,"usgs":false,"family":"Kidd","given":"Jeff W","affiliations":[],"preferred":false,"id":942675,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warne, Robin","contributorId":274838,"corporation":false,"usgs":false,"family":"Warne","given":"Robin","email":"","affiliations":[{"id":56665,"text":"Cooperative Wildlife Research Laboratory and School of Biological Sciences, Southern Illinois University, Carbondale, IL USA 62901","active":true,"usgs":false}],"preferred":false,"id":942676,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Macedo, Adrian","contributorId":357839,"corporation":false,"usgs":false,"family":"Macedo","given":"Adrian","affiliations":[{"id":85556,"text":"Southern Illinois University Carbondale","active":true,"usgs":false}],"preferred":false,"id":942677,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":942678,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70268278,"text":"70268278 - 2025 - Discovery of an intact Quaternary paleosol, Georgia Bight, USA","interactions":[],"lastModifiedDate":"2025-06-20T14:16:38.069571","indexId":"70268278","displayToPublicDate":"2025-06-18T09:08:35","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5841,"text":"Applied Sciences","onlineIssn":"2076-3417","active":true,"publicationSubtype":{"id":10}},"title":"Discovery of an intact Quaternary paleosol, Georgia Bight, USA","docAbstract":"<p><span>A previously buried paleosol was found on the continental shelf during a study of sea floor scour, nucleated by large artificial reef structures such as vessel hulks, barges, train cars, military vehicles, etc., called “scour nuclei”. It is a relic paleo-land surface of sapling-sized tree stumps, root systems, and fossil animal bone exhumed by scour processes active adjacent to the artificial reef structure. Over the span of five research cruises to the site in 2022–2024, soil samples were taken using hand excavation, PONAR grab samplers, split spoon, hollow tube auger, and a modified Shelby-style push box. High-definition (HD) video was taken using a Remotely Operated Vehicle (ROV) and diver-held cameras. Radiocarbon dating of wood samples returned ages of 42,015–43,417 calibrated years before present (cal yrBP). Pollen studies, together with the recovered macrobotanical remains, support our interpretation of the site as a freshwater forested wetland whose keystone tree species was&nbsp;</span><span class=\"html-italic\">Taxodium distichum</span><span>—bald cypress. The paleosol was identified as an Aquult, a sub-order of Ultisols where water tables are at or near the surface year-round. A deep (0.25 m+) argillic horizon comprised the bulk of the preserved soil. Comparable Ultisols found in Georgia wetlands include Typic Paleaquult (Grady and Bayboro series) soils.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/app15126859","usgsCitation":"Garrison, E., Newton, M., Prueitt, B., Jones, E., and Willard, D., 2025, Discovery of an intact Quaternary paleosol, Georgia Bight, USA: Applied Sciences, v. 15, 6859, 13 p., https://doi.org/10.3390/app15126859.","productDescription":"6859, 13 p.","ipdsId":"IP-177145","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":491444,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/app15126859","text":"Publisher Index Page"},{"id":491020,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia","otherGeospatial":"Georgia Bight","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -80.6037065174064,\n              32.05700383452627\n            ],\n            [\n              -80.87744613056587,\n              32.073340398276045\n            ],\n            [\n              -81.16853543751718,\n              31.739498148416956\n            ],\n            [\n              -81.50026399128812,\n              31.09261341173041\n            ],\n            [\n              -81.51308221190993,\n              30.689275547735463\n            ],\n            [\n              -81.13422317222164,\n              30.688050731677237\n            ],\n            [\n              -80.6037065174064,\n              32.05700383452627\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","noUsgsAuthors":false,"publicationDate":"2025-06-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Garrison, Ervan G.","contributorId":357067,"corporation":false,"usgs":false,"family":"Garrison","given":"Ervan G.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":940686,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Newton, Matthew","contributorId":357068,"corporation":false,"usgs":false,"family":"Newton","given":"Matthew","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":940687,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prueitt, Benjamin","contributorId":357071,"corporation":false,"usgs":false,"family":"Prueitt","given":"Benjamin","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":940689,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, Emily C.","contributorId":357073,"corporation":false,"usgs":false,"family":"Jones","given":"Emily C.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":940690,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Willard, Debra A. 0000-0003-4878-0942","orcid":"https://orcid.org/0000-0003-4878-0942","contributorId":269840,"corporation":false,"usgs":true,"family":"Willard","given":"Debra A.","affiliations":[],"preferred":true,"id":940693,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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