{"pageNumber":"48","pageRowStart":"1175","pageSize":"25","recordCount":40769,"records":[{"id":70260838,"text":"70260838 - 2025 - Density estimation using spatial capture-recapture analyses: Application to vaccination of prairie dogs against sylvatic plague","interactions":[],"lastModifiedDate":"2024-12-26T16:56:51.840568","indexId":"70260838","displayToPublicDate":"2024-10-30T09:44:56","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":16872,"text":"The Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Density estimation using spatial capture-recapture analyses: Application to vaccination of prairie dogs against sylvatic plague","docAbstract":"<p><span>Prairie dogs are notoriously difficult to enumerate, with previously methods including visual counts, mark-resight, burrow counts, and catch per unit effort. Unlike those methods, spatial capture-recapture (SCR) analyses allow for formal estimation of density along with associated estimates of uncertainty, detection probability, and the size of the average area over which an individual was detected during the study period (referred to as an activity center). Using SCR analyses, we compared density estimates as part of a field trial evaluating the effectiveness of an oral sylvatic plague vaccine in black-tailed prairie dogs (</span><i>Cynomys ludovicianus</i><span>), Gunnison's prairie dogs (</span><i>C. gunnisoni</i><span>), white-tailed prairie dogs (</span><i>C. leucurus</i><span>), and Utah prairie dogs (</span><i>C. parvidens</i><span>) at 11 study areas in the western United States. The study was designed as a matched pairs analysis that included 27 individual paired plots (54 plots), each consisting of a plot treated with vaccine baits and a plot treated with placebo baits. Overall, we captured &gt;3,000 individuals each year on these plots, and recapture rates ranged from 5–87%. For black-tailed prairie dogs, density estimates ranged from 2.7 individuals/ha (95% CI = 2.2–3.3/ha) to 77.3/ha (63.2–94.4/ha), and for Gunnison's prairie dogs, estimates ranged from 11.7/ha (10.6–12.8/ha) to 15.4/ha (14.4–16.7/ha). White-tailed prairie dogs were at their lowest density (3.3/ha, 95% CI = 2.9–3.8/ha) during the first year of the study and their highest density (14.5/ha; 13.5–15.6/ha) during the last year of the study. Utah prairie dog density estimates ranged from a low of 4.0/ha (95% CI = 3.55–4.6/ha) to a high of 20.8/ha (16.8–25.8/ha). Best-fitting models of prairie dog density indicated increasing patterns of density over time on most study plots, negative effects of plague, and positive effects of vaccination. Finally, we found low correlations between catch per unit effort estimates from previous published literature at these sites and our densities estimates. Spatial capture-recapture estimates allowed us to consistently compare treatment effects across space and time, although some exceptions are noted where we observed significant movement between plots within a pair (3 pairs) and when trapping effort between plots or years was not consistent.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22685","collaboration":"USFWS, Colorado Parks and Wildlife","usgsCitation":"Russell, R., Tripp, D.W., Richgels, K., and Rocke, T.E., 2025, Density estimation using spatial capture-recapture analyses: Application to vaccination of prairie dogs against sylvatic plague: The Journal of Wildlife Management, v. 89, no. 1, e22685, 23 p., https://doi.org/10.1002/jwmg.22685.","productDescription":"e22685, 23 p.","ipdsId":"IP-158793","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":498019,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.22685","text":"Publisher Index Page"},{"id":463873,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, Montana, South Dakota, Utah, Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -112.98561614040628,\n              34.4839827325285\n            ],\n            [\n              -108.73889237969084,\n              37.19778436176638\n            ],\n            [\n              -104.55370848711587,\n              41.09224829273401\n            ],\n            [\n              -104.12449258531782,\n              43.272766046086105\n            ],\n            [\n              -98.14309695950115,\n              43.53751422201606\n            ],\n            [\n              -99.6031401018387,\n              45.20609549050701\n            ],\n            [\n              -104.84540794547388,\n              45.7593468589921\n            ],\n            [\n              -106.25987403193622,\n              48.42027497028673\n            ],\n            [\n              -108.86475524017507,\n              48.24276368606209\n            ],\n            [\n              -110.38662146865491,\n              43.88726413158625\n            ],\n            [\n              -111.05816245806633,\n              39.524130102167646\n            ],\n            [\n              -113.70636242397714,\n              38.23265336260491\n            ],\n            [\n              -113.7362567368962,\n              34.703024548904935\n            ],\n            [\n              -112.98561614040628,\n              34.4839827325285\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"89","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-10-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Russell, Robin E. 0000-0001-8726-7303","orcid":"https://orcid.org/0000-0001-8726-7303","contributorId":346151,"corporation":false,"usgs":false,"family":"Russell","given":"Robin E.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":918256,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tripp, Dan W.","contributorId":346152,"corporation":false,"usgs":false,"family":"Tripp","given":"Dan","email":"","middleInitial":"W.","affiliations":[{"id":39887,"text":"Colorado Parks and Wildlife","active":true,"usgs":false}],"preferred":false,"id":918257,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richgels, Katherine 0000-0003-2834-9477 krichgels@usgs.gov","orcid":"https://orcid.org/0000-0003-2834-9477","contributorId":167016,"corporation":false,"usgs":true,"family":"Richgels","given":"Katherine","email":"krichgels@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":918258,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rocke, Tonie E. 0000-0003-3933-1563 trocke@usgs.gov","orcid":"https://orcid.org/0000-0003-3933-1563","contributorId":2665,"corporation":false,"usgs":true,"family":"Rocke","given":"Tonie","email":"trocke@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":918259,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70260206,"text":"70260206 - 2025 - Twentieth century extreme precipitation detected in a high-resolution, coastal lake-sediment record from California","interactions":[],"lastModifiedDate":"2025-01-27T16:28:15.877265","indexId":"70260206","displayToPublicDate":"2024-10-29T08:15:21","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2411,"text":"Journal of Paleolimnology","active":true,"publicationSubtype":{"id":10}},"title":"Twentieth century extreme precipitation detected in a high-resolution, coastal lake-sediment record from California","docAbstract":"<p><span>California faces increasing economic and societal risks from extreme precipitation and flooding associated with atmospheric rivers (ARs) under projected twenty-first century climate warming. Lake sediments can retain signals of past extreme precipitation events, allowing reconstructions beyond the period of instrumental records. Here, we calibrate AR-related extreme precipitation from the last century to proxy data from lake sediments collected in the latitudinal zone of the highest frequency landfall for modern ARs in California. Excursions in erosional proxy data (Ti/Al) are positively and significantly correlated (r</span><sub><i>median</i></sub><span> = 0.45, p</span><sub><i>median</i></sub><span> = 0.04) with modern records of integrated vapor transport (IVT, kg&nbsp;m</span><sup>−1</sup><span>&nbsp;s</span><sup>−1</sup><span>), a key metric of AR intensity, using correlations that incorporate age-model uncertainty. Despite the land-use change near the study site, the data suggest intense and long-lasting AR storms are identifiable in this sedimentary record. These results allow conservative inferences concerning past extreme hydrology at this site.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10933-024-00345-9","usgsCitation":"Knight, C.A., Wahl, D., Addison, J.A., Baskaran, M., Anderson, R., Champagne, M.R., Anderson, L., Presnetsova, L.S., Caissie, B.E., and Starratt, S.W., 2025, Twentieth century extreme precipitation detected in a high-resolution, coastal lake-sediment record from California: Journal of Paleolimnology, v. 73, p. 35-51, https://doi.org/10.1007/s10933-024-00345-9.","productDescription":"17 p.","startPage":"35","endPage":"51","ipdsId":"IP-167936","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":489794,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10933-024-00345-9","text":"Publisher Index Page"},{"id":463427,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Wildcat Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.77594069138576,\n              37.97415142373998\n            ],\n            [\n              -122.78933940359585,\n              37.97415142373998\n            ],\n            [\n              -122.78933940359585,\n              37.965032541085534\n            ],\n            [\n              -122.77594069138576,\n              37.965032541085534\n            ],\n            [\n              -122.77594069138576,\n              37.97415142373998\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"73","noUsgsAuthors":false,"publicationDate":"2024-10-29","publicationStatus":"PW","contributors":{"authors":[{"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":917409,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wahl, David 0000-0002-0451-3554","orcid":"https://orcid.org/0000-0002-0451-3554","contributorId":206113,"corporation":false,"usgs":true,"family":"Wahl","given":"David","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":917410,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Addison, Jason A. 0000-0003-2416-9743 jaddison@usgs.gov","orcid":"https://orcid.org/0000-0003-2416-9743","contributorId":4192,"corporation":false,"usgs":true,"family":"Addison","given":"Jason","email":"jaddison@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":917411,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baskaran, Mark","contributorId":87867,"corporation":false,"usgs":false,"family":"Baskaran","given":"Mark","email":"","affiliations":[{"id":7147,"text":"Wayne State University","active":true,"usgs":false}],"preferred":false,"id":917412,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, R. Scott","contributorId":6983,"corporation":false,"usgs":false,"family":"Anderson","given":"R. Scott","affiliations":[{"id":7034,"text":"School of Earth Sciences and Environmental Sustainability at Northern Arizona University, in Flagstaff","active":true,"usgs":false}],"preferred":false,"id":917413,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Champagne, Marie Rhondelle 0000-0001-8236-3910","orcid":"https://orcid.org/0000-0001-8236-3910","contributorId":248214,"corporation":false,"usgs":true,"family":"Champagne","given":"Marie","email":"","middleInitial":"Rhondelle","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":917414,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Anderson, Lysanna 0000-0001-5650-9744 landerson@usgs.gov","orcid":"https://orcid.org/0000-0001-5650-9744","contributorId":5339,"corporation":false,"usgs":true,"family":"Anderson","given":"Lysanna","email":"landerson@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":917415,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Presnetsova, Liubov S. 0000-0002-1351-8541 lpresnetsova@usgs.gov","orcid":"https://orcid.org/0000-0002-1351-8541","contributorId":296053,"corporation":false,"usgs":true,"family":"Presnetsova","given":"Liubov","email":"lpresnetsova@usgs.gov","middleInitial":"S.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":917416,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Caissie, Beth Elaine 0000-0001-9587-1842","orcid":"https://orcid.org/0000-0001-9587-1842","contributorId":292500,"corporation":false,"usgs":true,"family":"Caissie","given":"Beth","email":"","middleInitial":"Elaine","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":917417,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Starratt, Scott W. 0000-0001-9405-1746 sstarrat@usgs.gov","orcid":"https://orcid.org/0000-0001-9405-1746","contributorId":2891,"corporation":false,"usgs":true,"family":"Starratt","given":"Scott","email":"sstarrat@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":917418,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70263375,"text":"70263375 - 2025 - Timing and geometry of the Chemehuevi Formation reveal a late Pleistocene sediment pulse into the Lower Colorado River","interactions":[],"lastModifiedDate":"2025-03-11T15:02:17.928143","indexId":"70263375","displayToPublicDate":"2024-10-28T16:20:38","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Timing and geometry of the Chemehuevi Formation reveal a late Pleistocene sediment pulse into the Lower Colorado River","docAbstract":"<p>The Chemehuevi Formation is a distinctive 50−150-m-thick wedge-shaped Pleistocene sedimentary unit deposited by the Colorado River. It lines the perimeters of the river’s floodplains and bedrock canyons for more than 600 km between the mouth of the Grand Canyon and the delta region in the Gulf of California. The formation is composed of a basal tan to light-yellowish-brown and pale-orange mud-dominated facies overlain and interbedded by a light-yellow-brown sand-dominated facies. The unit is one of two extensively exposed aggradational packages in the Lower Colorado River corridor, in addition to a series of other smaller alluvial terrace deposits. The Chemehuevi Formation appears to represent the response of a fully integrated Colorado River system to a significant perturbation, in contrast to the Bullhead Alluvium, which is likely a unique result of Pliocene river integration. The aggradation of the Chemehuevi Formation in the Lower Colorado River corridor may be similarly due to a unique event in the Colorado River system, or it may instead be a well-preserved sedimentary sequence recording typical behavior of the Colorado River below the Grand Canyon in the late Pleistocene. As such, multiple causal mechanisms have been proposed, but no study to date has conclusively explained the Chemehuevi Formation.</p><p>To help resolve its timing, duration, and origin, we applied post-infrared infrared stimulated luminescence, carbonate U-Th series, and zircon sensitive high-resolution ion microprobe U-Th series geochronology to determine the ages of key exposures of the unit over a wide spatial area. These new data demonstrate that the Chemehuevi Formation was deposited ca. 110−90 ka. The depositional ages collectively overlap, suggesting that deposition occurred rapidly relative to the resolution of the geochronometers. The new depositional timing coincides with a shift from glacial to interglacial conditions after the marine isotope stage 5-6 transition. This observation is consistent with a climate-induced sediment pulse as a causal mechanism, yet correlations with similar deposits in the Colorado River headwaters or in neighboring catchments appear elusive. Potentially, climate transitions between glacial and interglacial periods induced a sediment pulse from hillslopes of the Colorado River system that resulted in the Chemehuevi Formation. An alternative or additional explanation is that the Chemehuevi Formation represents release of lava dam−impounded sediment in the Grand Canyon. The surface geometry of the Chemehuevi Formation projects upstream to the approximate location of lava dams, and the largest possible lava dam impoundment (the Upper Prospect dam) is comparable in volume to the formation. The lava dam hypothesis appears to be a possible explanation for the Chemehuevi Formation. However, tying deposition to a specific lava dam or series of lava dams remains challenging due to discrepancies in timing and volume. The combined effects of a series of lava dams may have led to the Chemehuevi Formation, as the last Pleistocene lava dam eruption coincides with the onset of deposition. Alternatively, the formation may result from the combined effects of both regional climate transitions and the lava dams that created a transient reservoir to compound a climate transition−driven sediment pulse. The geochronologic data presented here do not allow us to distinguish between the lava dam or climate transition hypotheses but will need to be reconciled with any future proposed depositional model.</p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/B37579.1","usgsCitation":"Gray, H., House, K., Hudson, A.M., Vazquez, J.A., Crow, R.S., Primus, M., Mahan, S.A., Rittenour, T.M., and Howard, K., 2025, Timing and geometry of the Chemehuevi Formation reveal a late Pleistocene sediment pulse into the Lower Colorado River: GSA Bulletin, v. 137, no. 3-4, p. 1582-1606, https://doi.org/10.1130/B37579.1.","productDescription":"25 p.","startPage":"1582","endPage":"1606","ipdsId":"IP-156841","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":496379,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/b37579.1","text":"Publisher Index Page"},{"id":481869,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Nevada","otherGeospatial":"Lower Colorado River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -115.04673343546492,\n              36.093655050676304\n            ],\n            [\n              -115.04673343546492,\n              32.810604750099\n            ],\n            [\n              -114.08658173380047,\n              32.810604750099\n            ],\n            [\n              -114.08658173380047,\n              36.093655050676304\n            ],\n            [\n              -115.04673343546492,\n              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Center","active":true,"usgs":true}],"preferred":true,"id":926690,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hudson, Adam M. 0000-0002-3387-9838 ahudson@usgs.gov","orcid":"https://orcid.org/0000-0002-3387-9838","contributorId":195419,"corporation":false,"usgs":true,"family":"Hudson","given":"Adam","email":"ahudson@usgs.gov","middleInitial":"M.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":926692,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vazquez, Jorge A. 0000-0003-2754-0456 jvazquez@usgs.gov","orcid":"https://orcid.org/0000-0003-2754-0456","contributorId":4458,"corporation":false,"usgs":true,"family":"Vazquez","given":"Jorge","email":"jvazquez@usgs.gov","middleInitial":"A.","affiliations":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":926940,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Crow, Ryan S. 0000-0002-2403-6361 rcrow@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-6361","contributorId":5792,"corporation":false,"usgs":true,"family":"Crow","given":"Ryan","email":"rcrow@usgs.gov","middleInitial":"S.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":926694,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Primus, Miriam","contributorId":350761,"corporation":false,"usgs":false,"family":"Primus","given":"Miriam","affiliations":[],"preferred":false,"id":926941,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":926695,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rittenour, Tammy M.","contributorId":140755,"corporation":false,"usgs":false,"family":"Rittenour","given":"Tammy","email":"","middleInitial":"M.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":926696,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Howard, Keith A. 0000-0002-6462-2947","orcid":"https://orcid.org/0000-0002-6462-2947","contributorId":264832,"corporation":false,"usgs":true,"family":"Howard","given":"Keith A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":926697,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70267770,"text":"70267770 - 2025 - Evaluating the effects of nest management on a recovering raptor using integrated population modeling","interactions":[],"lastModifiedDate":"2025-05-30T15:30:50.249332","indexId":"70267770","displayToPublicDate":"2024-10-25T08:25:54","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":"Evaluating the effects of nest management on a recovering raptor using integrated population modeling","docAbstract":"<p><span>Evaluating population responses to management is a crucial component of successful conservation programs. Models predicting population growth under different management scenarios can provide key insights into the efficacy of specific management actions both in reversing population decline and in maintaining recovered populations. Bald eagle (</span><i>Haliaeetus leucocephalus</i><span>) conservation in the United States has seen many successes over the last 50 years, yet the extent to which the bald eagle population has recovered in Arizona, an important population within the Southwest region, remains an area of debate. Estimates of the species' population trend and an evaluation of ongoing nest-level management practices are needed to inform management decisions. We developed a Bayesian integrated population model (IPM) and population viability analysis (PVA) using a 36-year dataset to assess Arizona bald eagle population dynamics and their underlying demographic rates under current and possible future management practices. We estimated that the population grew from 77 females in 1993 to 180 females in 2022, an average yearly increase of 3%. Breeding sites that had trained personnel (i.e., nestwatchers) stationed at active nests to mitigate human disturbance had a 28% higher reproductive output than nests without this protection. Uncertainty around population trends was high, but scenarios that continued the nestwatcher program were less likely to predict abundance declines than scenarios without nestwatchers. Here, the IPM-PVA framework provides a useful tool both for estimating the effectiveness of past management actions and for exploring the management needs of a delisted population, highlighting that continued management action may be necessary to maintain population viability even after meeting certain recovery criteria.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.4943","usgsCitation":"Cappello, C., Jacobson, K., Driscoll, J., McCarty, K., and Bauder, J.M., 2025, Evaluating the effects of nest management on a recovering raptor using integrated population modeling: Ecosphere, v. 15, no. 10, e4943, 19 p., https://doi.org/10.1002/ecs2.4943.","productDescription":"e4943, 19 p.","ipdsId":"IP-154963","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":490651,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4943","text":"Publisher Index 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 \"}}]}","volume":"15","issue":"10","noUsgsAuthors":false,"publicationDate":"2024-10-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Cappello, Caroline D.","contributorId":356152,"corporation":false,"usgs":false,"family":"Cappello","given":"Caroline D.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":938805,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jacobson, Kenneth V.","contributorId":356153,"corporation":false,"usgs":false,"family":"Jacobson","given":"Kenneth V.","affiliations":[{"id":12922,"text":"Arizona Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":938806,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Driscoll, James T.","contributorId":356154,"corporation":false,"usgs":false,"family":"Driscoll","given":"James T.","affiliations":[{"id":12922,"text":"Arizona Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":938807,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCarty, Kyle M.","contributorId":356155,"corporation":false,"usgs":false,"family":"McCarty","given":"Kyle M.","affiliations":[{"id":12922,"text":"Arizona Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":938808,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bauder, Javan Mathias 0000-0002-2055-5324","orcid":"https://orcid.org/0000-0002-2055-5324","contributorId":337814,"corporation":false,"usgs":true,"family":"Bauder","given":"Javan","email":"","middleInitial":"Mathias","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":938809,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70261690,"text":"70261690 - 2025 - Riparian vegetated area in pre-dam, post-dam, and environmental flow periods in Canyonlands National Park from 1940 to 2022","interactions":[],"lastModifiedDate":"2025-03-11T14:52:27.900675","indexId":"70261690","displayToPublicDate":"2024-10-24T11:00:34","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Riparian vegetated area in pre-dam, post-dam, and environmental flow periods in Canyonlands National Park from 1940 to 2022","docAbstract":"<p><span>The Upper Colorado River Basin is the principal water supply of the western United States and includes a series of canyons that provide habitat for disproportionate numbers of flora and fauna. Following the closing of Flaming Gorge and Blue Mesa dams in 1963 and 1966, decreases in peak flows and elevated base flows allowed extensive vegetation encroachment, channel narrowing, and channel simplification. Since 1992, reservoir releases have been modified to increase the ratio of peak to base flows for environmental reasons, including protection of endangered fish. We used remote imagery from 1940 to 2022 to examine rates of vegetation encroachment along three river reaches in Canyonlands National Park during the pre-dam (1940–1966), post-dam (1967–1992), and environmental flows (1993–2022) periods. We found an increase in the vegetated area along the Colorado and Green Rivers upstream of their confluence since 1940. We documented a 6.1% and 4.0% increase in vegetated area in the post-dam period and a 19.5% and 6.5% increase in vegetated area in the environmental flows period on the Colorado and Green Rivers, respectively. The Cataract Canyon reach (Colorado River below the confluence) has been stable since 1966. All three river reaches showed the slowest period of vegetation encroachment, indicative of channel narrowing, in the last 16 years of environmental flows that included a large peakflow in 2011. Environmental flows that mimic the natural hydrograph have not reversed decreases in peak flow and channel width, due in part to decreasing runoff and increasing flow diversion. Flow alterations that reduce the spring peak could cause further narrowing.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/rra.4395","usgsCitation":"Perkins, D.W., Wight, A., Wondzell, M., and Friedman, J.M., 2025, Riparian vegetated area in pre-dam, post-dam, and environmental flow periods in Canyonlands National Park from 1940 to 2022: River Research and Applications, v. 41, no. 3, p. 662-678, https://doi.org/10.1002/rra.4395.","productDescription":"17 p.","startPage":"662","endPage":"678","ipdsId":"IP-159010","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":466823,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.4395","text":"Publisher Index Page"},{"id":466822,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.4395","text":"Publisher Index Page"},{"id":465286,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Canyonlands National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -110.45873626537072,\n              38.95929353896307\n            ],\n            [\n              -110.45873626537072,\n              37.88316549865948\n            ],\n            [\n              -109.41395303049222,\n              37.88316549865948\n            ],\n            [\n              -109.41395303049222,\n              38.95929353896307\n            ],\n            [\n              -110.45873626537072,\n              38.95929353896307\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"41","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-10-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Perkins, Dustin W.","contributorId":347345,"corporation":false,"usgs":false,"family":"Perkins","given":"Dustin","email":"","middleInitial":"W.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":921440,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wight, Aneth","contributorId":347346,"corporation":false,"usgs":false,"family":"Wight","given":"Aneth","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":921441,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wondzell, Mark","contributorId":347347,"corporation":false,"usgs":false,"family":"Wondzell","given":"Mark","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":921442,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Friedman, Jonathan M. 0000-0002-1329-0663","orcid":"https://orcid.org/0000-0002-1329-0663","contributorId":44495,"corporation":false,"usgs":true,"family":"Friedman","given":"Jonathan","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":921443,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70260814,"text":"70260814 - 2025 - Edge effects along roadside fuel treatments in sagebrush steppe","interactions":[],"lastModifiedDate":"2024-12-10T15:34:48.363233","indexId":"70260814","displayToPublicDate":"2024-10-22T06:48:13","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3228,"text":"Rangeland Ecology and Management","onlineIssn":"1551-5028","printIssn":"1550-7424","active":true,"publicationSubtype":{"id":10}},"title":"Edge effects along roadside fuel treatments in sagebrush steppe","docAbstract":"<p>Increasing wildfire has motivated the construction of fuel breaks on many rangelands to improve prospects for wildfire suppression. However, the linear shape of fuel breaks greatly increases treatment perimeter: area and thus increased potential for edge effects, e.g., invasions by exotic plants. Potential for edge effects are further increased by the disturbances associated with fuel-break implementation. Fire risk in perennial-dominated and sagebrush-steppe rangelands are increased by exotic species, such as cheatgrass and other associated annuals, and therefore invasions after fuel-break implementation are problematic, yet have rarely been evaluated. Abundances of dominant invaders, cheatgrass and Russian thistle, were measured along treated and neighboring untreated edges in 40 paired plots along ∼61 km of 60-m wide fuel breaks. Fuel breaks were constructed using a variety of shrub-cutting and herbicide applications 1–4 yr before measurement. Generalized linear mixed effect models revealed that fractional cover significantly increased in treated compared with untreated areas by 0.02–0.12 for cheatgrass and 0–0.06 for Russian thistle within 9 m of treatment boundaries (on a scale of 0-1). We neither detected increased invasion in adjacent and untreated areas nor gradients of increasing invasion with proximity to treatment boundaries. Although these findings reveal invasions that were otherwise undetected across the entire 60 m width of fuel breaks, invasion levels did not surpass nominal management thresholds for fire behavior or risk of conversion to annual grasslands.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rama.2024.08.031","usgsCitation":"Price, S.J., Germino, M., and Watt, C.R., 2025, Edge effects along roadside fuel treatments in sagebrush steppe: Rangeland Ecology and Management, v. 98, p. 155-159, https://doi.org/10.1016/j.rama.2024.08.031.","productDescription":"5 p.","startPage":"155","endPage":"159","ipdsId":"IP-164496","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":463846,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"98","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Price, Samuel J. 0000-0003-4172-4139","orcid":"https://orcid.org/0000-0003-4172-4139","contributorId":297001,"corporation":false,"usgs":true,"family":"Price","given":"Samuel","email":"","middleInitial":"J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":918187,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Germino, Matthew J. 0000-0001-6326-7579","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":251901,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":918188,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Watt, Chloe Rose 0009-0008-3238-1764","orcid":"https://orcid.org/0009-0008-3238-1764","contributorId":345937,"corporation":false,"usgs":true,"family":"Watt","given":"Chloe","email":"","middleInitial":"Rose","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":918189,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70259728,"text":"70259728 - 2025 - Most pinyon-juniper woodland species distributions are projected to shrink rather than shift under climate change","interactions":[],"lastModifiedDate":"2024-12-10T15:28:37.720649","indexId":"70259728","displayToPublicDate":"2024-10-16T06:56:12","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6002,"text":"Rangeland Ecology & Management","active":true,"publicationSubtype":{"id":10}},"title":"Most pinyon-juniper woodland species distributions are projected to shrink rather than shift under climate change","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0001\" class=\"abstract author\"><div id=\"abss0001\"><div id=\"spara008\" class=\"u-margin-s-bottom\">Pinyon–juniper (PJ) woodlands are among the most widespread ecosystems in rangelands of western North America, supporting diverse wildlife habitat, recreation, grazing, and cultural/spiritual enrichment. Anticipating future distribution shifts under changing climate will be critical to climate adaptation and conservation efforts in these ecosystems. Here, we evaluate drivers of PJ tree species’ distributions and project changes in response to future climate change. We developed species distribution models with dryland-focused predictors to project environmental suitability changes across the entirety of three pinyon and six juniper species ranges. We identify areas of robust suitability change by combining suitability projections from multiple emissions scenarios and time periods. PJ species’ suitabilities respond to many temperature and moisture covariates expected to change in the future. Projected responses among PJ species are highly variable, ranging from modest declines with concurrent gains for overall little net change to wide-ranging declines with no gains for overall range contractions. Environmental suitability is projected to decline broadly across the arid United States Southwest and remain relatively stable across the northern Great Basin and Colorado Plateau. Our results suggest unique responses of PJ species to future climate change. We found that species were projected to experience more losses than gains in suitability, for overall range shrinks rather than shifts. Land managers have the capacity to increase woodland resilience to drought, and our results can inform rangeland-wide management planning and conservation efforts in PJ woodlands.</div></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rama.2024.09.002","usgsCitation":"Noel, A.R., Schlaepfer, D.R., Butterfield, B.J., Swan, M., Norris, J.M., Hartwig, K., Duniway, M.C., and Bradford, J., 2025, Most pinyon-juniper woodland species distributions are projected to shrink rather than shift under climate change: Rangeland Ecology & Management, v. 98, p. 424-466, https://doi.org/10.1016/j.rama.2024.09.002.","productDescription":"43 p.","startPage":"424","endPage":"466","ipdsId":"IP-161377","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":466690,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rama.2024.09.002","text":"Publisher Index Page"},{"id":463086,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"98","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Noel, Adam Roy 0000-0002-0891-4005","orcid":"https://orcid.org/0000-0002-0891-4005","contributorId":294761,"corporation":false,"usgs":true,"family":"Noel","given":"Adam","email":"","middleInitial":"Roy","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":916474,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schlaepfer, Daniel Rodolphe 0000-0001-9973-2065","orcid":"https://orcid.org/0000-0001-9973-2065","contributorId":225569,"corporation":false,"usgs":true,"family":"Schlaepfer","given":"Daniel","email":"","middleInitial":"Rodolphe","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":916475,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Butterfield, Bradley J. 0000-0003-0974-9811","orcid":"https://orcid.org/0000-0003-0974-9811","contributorId":167009,"corporation":false,"usgs":false,"family":"Butterfield","given":"Bradley","email":"","middleInitial":"J.","affiliations":[{"id":24591,"text":"Merriam-Powell Center for Environmental Research and Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":916476,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Swan, M.C.","contributorId":345414,"corporation":false,"usgs":false,"family":"Swan","given":"M.C.","email":"","affiliations":[{"id":82575,"text":"National Park Service, Southern Colorado Plateau Network, Flagstaff, AZ, 86011 USA","active":true,"usgs":false}],"preferred":false,"id":916477,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Norris, J. Michael 0000-0002-7480-0161","orcid":"https://orcid.org/0000-0002-7480-0161","contributorId":335919,"corporation":false,"usgs":false,"family":"Norris","given":"J.","email":"","middleInitial":"Michael","affiliations":[],"preferred":false,"id":916478,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hartwig, K.","contributorId":345415,"corporation":false,"usgs":false,"family":"Hartwig","given":"K.","email":"","affiliations":[{"id":82576,"text":"National Park Service, Fruita, CO 81521 USA","active":true,"usgs":false}],"preferred":false,"id":916479,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":916480,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bradford, John B. 0000-0001-9257-6303","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":219257,"corporation":false,"usgs":true,"family":"Bradford","given":"John B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":916481,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70263806,"text":"70263806 - 2025 - Weather events influence survival and recruitment of Coereba flaveola (Bananaquit) in the Caribbean","interactions":[],"lastModifiedDate":"2025-02-25T16:28:52.11681","indexId":"70263806","displayToPublicDate":"2024-10-15T08:47:05","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":"Weather events influence survival and recruitment of <i>Coereba flaveola</i> (Bananaquit) in the Caribbean","title":"Weather events influence survival and recruitment of Coereba flaveola (Bananaquit) in the Caribbean","docAbstract":"<p><span>The West Indies is considered a biodiversity hotspot and a priority for ecological conservation efforts. Understanding how environmental conditions influence the survival of resident avifauna is an important information need given the predicted increases in drought and the frequency and intensity of severe storms in the region. Throughout much of the Caribbean,&nbsp;</span><i>Coereba flaveola</i><span>&nbsp;(Bananaquit) are widespread and abundant, traits that may facilitate understanding their response to environmental changes in the region. We used a 10-yr capture–mark–recapture data set to examine&nbsp;</span><i>C. flaveola</i><span>&nbsp;survival, recruitment, population growth, and age structure in the context of monthly and seasonal precipitation and temperatures, drought conditions, and occurrence and intensity of storm events. Our models suggested wing length, occurrence of storms, and drought all influenced survival. Both the incidence of storms and drier-than-average conditions in the preceding wet season (April–June) decreased survival. The sex of bird and net hours influenced capture probability, but weather influences on recruitment were equivocal. During nonstorm years, mean population growth was stable at 1.019 (95% confidence interval [CI]: 0.962, 1.098) but dropped to 0.843 (95% CI: 0.795, 0.846) in storm years. Increasing frequency of storms, such as back-to-back years, would likely push the growth rate lower. A protracted pattern of increased storm frequency, especially if coupled with a subsequent drought during the wet season, may lead to localized extirpations or strongly reduced populations.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/ornithology/ukae052","usgsCitation":"Boal, C.W., and Bibles, B., 2025, Weather events influence survival and recruitment of Coereba flaveola (Bananaquit) in the Caribbean: Ornithology, v. 142, no. 1, ukae052, 10 p., https://doi.org/10.1093/ornithology/ukae052.","productDescription":"ukae052, 10 p.","ipdsId":"IP-161040","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":496380,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ornithology/ukae052","text":"Publisher Index Page"},{"id":482455,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United Kingdom","otherGeospatial":"British Virgin Islands, Guana Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -64.57251334042952,\n              18.48346542262051\n            ],\n            [\n              -64.57922963213755,\n              18.48346542262051\n            ],\n            [\n              -64.57922963213755,\n              18.473199066754887\n            ],\n            [\n              -64.57251334042952,\n              18.473199066754887\n            ],\n            [\n              -64.57251334042952,\n              18.48346542262051\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"142","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-10-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Boal, Clint W. 0000-0001-6008-8911 cboal@usgs.gov","orcid":"https://orcid.org/0000-0001-6008-8911","contributorId":1909,"corporation":false,"usgs":true,"family":"Boal","given":"Clint","email":"cboal@usgs.gov","middleInitial":"W.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":928355,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bibles, Brent D.","contributorId":341439,"corporation":false,"usgs":false,"family":"Bibles","given":"Brent D.","affiliations":[{"id":81739,"text":"Unity College","active":true,"usgs":false}],"preferred":false,"id":928356,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70266211,"text":"70266211 - 2025 - Multiscale processes drive formation of logjam habitats and use by juvenile Chinook salmon across a boreal stream network in Alaska","interactions":[],"lastModifiedDate":"2025-04-30T16:26:30.317802","indexId":"70266211","displayToPublicDate":"2024-10-10T11:19:06","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Multiscale processes drive formation of logjam habitats and use by juvenile Chinook salmon across a boreal stream network in Alaska","docAbstract":"<p><span>Boreal forest streams are characterized by large volumes of instream wood, yet the relationship between logjams and Pacific salmon productivity remains underqualified. We located logjams (</span><i>n</i><span> = 427) within the distribution of Chinook salmon (</span><i>Oncorhynchus tshawytscha</i><span>) in the Chena River, Alaska (Yukon River tributary) and measured dimensions, classified formative process, and snorkel-sampled a subset (</span><i>n</i><span> = 189) of logjams to detect and count juvenile salmon relative to multiscale variables and a dam. Logjam size increased downstream, whereas logjam density and large wood recruits declined (upstream = 6 logjams/km, 33 recruits/km; downstream = 0.3 logjams/km, 6 recruits/km), particularly below a dam that reduced downstream wood transport and log-trapping locations (i.e., bars). Juvenile salmon occupied 68% of logjams; mid-network logjams had the highest densities (mean = 0.85 fish/m</span><sup>2</sup><span>). We modeled juvenile salmon counts with logjam-, stream reach-, and neighborhood-scale (&gt; 1 km) predictors. Covariates that best predicted juvenile salmon densities included bankfull flow and stream power at reach scales in addition to growth potential, spawning habitat quality, and logjam area within 1 km of the focal logjam at neighborhood-scales. Multiscale perspectives that link landscape characteristics, wood dynamics, and instream modifications with juvenile salmon production will be important to facilitate conservation and management of boreal streams.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/rra.4387","usgsCitation":"Cathcart, C.N., Falke, J.A., Fox, J., Henszey, R., and Lininger, K., 2025, Multiscale processes drive formation of logjam habitats and use by juvenile Chinook salmon across a boreal stream network in Alaska: River Research and Applications, v. 41, no. 3, p. 593-608, https://doi.org/10.1002/rra.4387.","productDescription":"16 p.","startPage":"593","endPage":"608","ipdsId":"IP-152306","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":487895,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.4387","text":"Publisher Index Page"},{"id":485218,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Chena River watershed study area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -144.67807493315854,\n              65.20202904924713\n            ],\n            [\n              -148.24621186080563,\n              65.20202904924713\n            ],\n            [\n              -148.24621186080563,\n              64.49202325327195\n            ],\n            [\n              -144.67807493315854,\n              64.49202325327195\n            ],\n            [\n              -144.67807493315854,\n              65.20202904924713\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"41","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-10-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Cathcart, Charles N.","contributorId":317814,"corporation":false,"usgs":false,"family":"Cathcart","given":"Charles","email":"","middleInitial":"N.","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":934944,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":934945,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fox, Jimmy","contributorId":354009,"corporation":false,"usgs":false,"family":"Fox","given":"Jimmy","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":934946,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Henszey, Robert","contributorId":354010,"corporation":false,"usgs":false,"family":"Henszey","given":"Robert","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":934947,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lininger, Katherine","contributorId":354011,"corporation":false,"usgs":false,"family":"Lininger","given":"Katherine","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":934948,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70269050,"text":"70269050 - 2025 - Geologic input databases for the 2025 Puerto Rico – U.S. Virgin Islands National Seismic Hazard Model update: Crustal faults component","interactions":[],"lastModifiedDate":"2025-07-15T16:57:40.01742","indexId":"70269050","displayToPublicDate":"2024-10-08T09:51:09","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Geologic input databases for the 2025 Puerto Rico – U.S. Virgin Islands National Seismic Hazard Model update: Crustal faults component","docAbstract":"<p><span>The last National Seismic Hazard Model (NSHM) for Puerto Rico and the U.S. Virgin Islands (PRVI) was published in 2003. In advance of the 2025 PRVI NSHM update, we created three geologic input databases to summarize new onshore and offshore fault source information in the northern Caribbean region between 62°–70° W and 16°–21° N. These databases, of fault sections, fault‐zone polygons, and geologic estimates of fault activity (fault‐slip rate and earthquake recurrence intervals) at specific sites, document updates to fault parameters used in prior seismic hazard models in PRVI. Fault sources were reviewed from published studies since 2003, which document substantial changes to the understanding of fault location, geometry, or activity. New fault section sources were added for features that meet the criteria of (1) length ≥7&nbsp;km, (2) unequivocal evidence of recurrent tectonic Quaternary activity, and (3) documentation that is publicly available in a peer‐reviewed source. In addition, we revised several broad areal sources, such as the Mona and Anegada extensional zones. The 2003 model included three fault sections and two fault‐zone polygons (areal sources). These databases include 35 fault sections, 6 fault‐zone polygons, and 51 earthquake geology sites. To characterize fault activity rates, slip‐rate bins were assigned based on landscape expression and paleoseismic trench observations for faults without published slip‐rate sites. Additional fault sources were evaluated but not included in these databases due to a lack of published information about fault location, geometry, or recurrent Quaternary activity. The PRVI NSHM 2025 geologic input databases describe crustal faulting; the geometries and coupling of Puerto Rico subduction zone and Muertos Trough models are considered in a separate database. Updates to the fault sections, fault‐zone polygons, and earthquake geology databases can help inform the location and recurrence rate of damaging earthquakes in the PRVI NSHM implementation.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220230222","usgsCitation":"Jobe, J.A., Briggs, R.W., ten Brink, U.S., Pratt, T.L., Hughes, K.S., Hatem, A.E., DuRoss, C., Reitman, N.G., Herrick, J.A., Nicovich, S.R., Collett, C., Scharer, K., and DeLong, S.B., 2025, Geologic input databases for the 2025 Puerto Rico – U.S. Virgin Islands National Seismic Hazard Model update: Crustal faults component: Seismological Research Letters, v. 96, no. 2A, p. 1018-1044, https://doi.org/10.1785/0220230222.","productDescription":"27 p.","startPage":"1018","endPage":"1044","ipdsId":"IP-155072","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":492285,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Puerto Rico, U.S. Virgin Islands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -73.9352850199376,\n              20.634411122471107\n            ],\n            [\n              -73.9352850199376,\n              15.056848325224166\n            ],\n            [\n              -60.40254592426669,\n              15.056848325224166\n            ],\n            [\n              -60.40254592426669,\n              20.634411122471107\n            ],\n            [\n              -73.9352850199376,\n              20.634411122471107\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"96","issue":"2A","noUsgsAuthors":false,"publicationDate":"2024-10-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Jobe, Jessica Ann Thompson 0000-0001-5574-4523","orcid":"https://orcid.org/0000-0001-5574-4523","contributorId":295377,"corporation":false,"usgs":true,"family":"Jobe","given":"Jessica","email":"","middleInitial":"Ann Thompson","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":943104,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":4136,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":943105,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"ten Brink, Uri S. 0000-0001-6858-3001","orcid":"https://orcid.org/0000-0001-6858-3001","contributorId":201741,"corporation":false,"usgs":true,"family":"ten Brink","given":"Uri","email":"","middleInitial":"S.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":943106,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pratt, Thomas L. 0000-0003-3131-3141 tpratt@usgs.gov","orcid":"https://orcid.org/0000-0003-3131-3141","contributorId":3279,"corporation":false,"usgs":true,"family":"Pratt","given":"Thomas","email":"tpratt@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":943107,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hughes, K. Stephen","contributorId":218339,"corporation":false,"usgs":false,"family":"Hughes","given":"K.","email":"","middleInitial":"Stephen","affiliations":[{"id":16585,"text":"University of Puerto Rico - Mayaguez","active":true,"usgs":false}],"preferred":false,"id":943108,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hatem, Alexandra Elise 0000-0001-7584-2235","orcid":"https://orcid.org/0000-0001-7584-2235","contributorId":225597,"corporation":false,"usgs":true,"family":"Hatem","given":"Alexandra","email":"","middleInitial":"Elise","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":943109,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"DuRoss, Christopher 0000-0002-6963-7451 cduross@usgs.gov","orcid":"https://orcid.org/0000-0002-6963-7451","contributorId":152321,"corporation":false,"usgs":true,"family":"DuRoss","given":"Christopher","email":"cduross@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":943110,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Reitman, Nadine G. 0000-0002-6730-2682 nreitman@usgs.gov","orcid":"https://orcid.org/0000-0002-6730-2682","contributorId":5816,"corporation":false,"usgs":true,"family":"Reitman","given":"Nadine","email":"nreitman@usgs.gov","middleInitial":"G.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":943111,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Herrick, Julie A. 0000-0003-0682-760X","orcid":"https://orcid.org/0000-0003-0682-760X","contributorId":243649,"corporation":false,"usgs":true,"family":"Herrick","given":"Julie","middleInitial":"A.","affiliations":[],"preferred":true,"id":943112,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Nicovich, Sylvia R. 0000-0003-4280-4034","orcid":"https://orcid.org/0000-0003-4280-4034","contributorId":341909,"corporation":false,"usgs":true,"family":"Nicovich","given":"Sylvia","email":"","middleInitial":"R.","affiliations":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"preferred":true,"id":943113,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Collett, Camille 0000-0003-4836-0243","orcid":"https://orcid.org/0000-0003-4836-0243","contributorId":310393,"corporation":false,"usgs":false,"family":"Collett","given":"Camille","affiliations":[{"id":67175,"text":"Formerly: U.S. Geological Survey, Geologic Hazards Science Center","active":true,"usgs":false}],"preferred":false,"id":943114,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Scharer, Katherine M. 0000-0003-2811-2496","orcid":"https://orcid.org/0000-0003-2811-2496","contributorId":217361,"corporation":false,"usgs":true,"family":"Scharer","given":"Katherine M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":943115,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"DeLong, Stephen B. 0000-0002-0945-2172 sdelong@usgs.gov","orcid":"https://orcid.org/0000-0002-0945-2172","contributorId":5240,"corporation":false,"usgs":true,"family":"DeLong","given":"Stephen","email":"sdelong@usgs.gov","middleInitial":"B.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":943178,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70259406,"text":"70259406 - 2025 - Marshes to mangroves: Residential surveys reveal perceived wetland trade-offs for ecosystem services","interactions":[],"lastModifiedDate":"2024-10-07T12:04:49.093939","indexId":"70259406","displayToPublicDate":"2024-09-27T07:00:25","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2603,"text":"Landscape and Urban Planning","active":true,"publicationSubtype":{"id":10}},"title":"Marshes to mangroves: Residential surveys reveal perceived wetland trade-offs for ecosystem services","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab010\" class=\"abstract author\"><div id=\"as010\"><div id=\"sp0010\" class=\"u-margin-s-bottom\">Coastal landscapes are rapidly changing due to both climate change and the decisions of waterfront landowners. For instance, the climate-driven encroachment of woody mangrove species into grassy marshland areas is predicted to impact coastal ecosystems, with consequences for the ecosystem services these landscapes provide to people. However, there is a dearth of knowledge concerning coastal resident perceptions of the effects of mangrove expansion on wetlands and their ecosystem services, which may impact residents’ behavior around shorelines and landscape-level patterns. We surveyed waterfront residents in the northern Gulf of Mexico (USA) to understand perceptions of the relative performance of marshes and mangroves to deliver fisheries ecosystem services. Residential-scale shoreline condition and preference, recreational fishing activity, geography, and demographics were evaluated as potential predictors of resident perceptions through non-parametric comparisons across groups and ordered logit modeling. Significant predictors included area of residence, marsh shoreline condition, marsh shoreline preference, fishing frequency, and household income. Florida residents (where mangroves are most prevalent) and frequent recreational fishing participants exhibited stronger preference for mangroves. Unexpectedly, residents with marsh currently present on their shoreline also perceived that mangroves were better at delivering fisheries ecosystem services than marshes. Considering the important role that coastal residents play in shoreline management decisions, these results demonstrate how coastal resident attitudes may drive or mediate climate-driven processes in ways that are not evident by examining environmental conditions alone. Understanding social-ecological shifts due to climate change will be important to inform effective landscape management that promotes resilience in coastal ecosystems and societies.</div></div></div></div><div id=\"reading-assistant-main-body-section\"><br></div><ul id=\"issue-navigation\" class=\"issue-navigation u-margin-s-bottom u-bg-grey1\"></ul>","language":"English","publisher":"Elsevier","doi":"10.1016/j.landurbplan.2024.105203","usgsCitation":"Swinea, S.H., Hughes, A.R., Osland, M., Shepard, C., Thorne, K.B., Alemu I, J., Bardou, R., and Scyphers, S.B., 2025, Marshes to mangroves: Residential surveys reveal perceived wetland trade-offs for ecosystem services: Landscape and Urban Planning, v. 253, 105203, 11 p., https://doi.org/10.1016/j.landurbplan.2024.105203.","productDescription":"105203, 11 p.","ipdsId":"IP-162480","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":466691,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.landurbplan.2024.105203","text":"Publisher Index Page"},{"id":462658,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -78.58436977313119,\n              32.14300702907593\n            ],\n            [\n              -99.15077602313066,\n              32.14300702907593\n            ],\n            [\n              -99.15077602313066,\n              24.492090610525764\n            ],\n            [\n              -78.58436977313119,\n              24.492090610525764\n            ],\n            [\n              -78.58436977313119,\n              32.14300702907593\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"253","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Swinea, Savannah H.","contributorId":274811,"corporation":false,"usgs":false,"family":"Swinea","given":"Savannah","email":"","middleInitial":"H.","affiliations":[{"id":56654,"text":"Northeastern University Marine Science Center, 430 Nahant Rd, Nahant, Massachusetts, USA","active":true,"usgs":false}],"preferred":false,"id":915180,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hughes, A. Randall","contributorId":177827,"corporation":false,"usgs":false,"family":"Hughes","given":"A.","email":"","middleInitial":"Randall","affiliations":[],"preferred":false,"id":915181,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Osland, Michael 0000-0001-9902-8692","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":222814,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":915182,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shepard, Christine C.","contributorId":274812,"corporation":false,"usgs":false,"family":"Shepard","given":"Christine C.","affiliations":[{"id":56655,"text":"The Nature Conservancy, Gulf of Mexico Program, Key West, FL USA","active":true,"usgs":false}],"preferred":false,"id":915183,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thorne, Kalaina B.","contributorId":344973,"corporation":false,"usgs":false,"family":"Thorne","given":"Kalaina","email":"","middleInitial":"B.","affiliations":[{"id":82446,"text":"Marine Science Center, Northeastern University, Nahant, Massachusetts, USA","active":true,"usgs":false}],"preferred":false,"id":915184,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Alemu I, Jahson B.","contributorId":343615,"corporation":false,"usgs":false,"family":"Alemu I","given":"Jahson B.","affiliations":[{"id":38331,"text":"Northeastern University","active":true,"usgs":false}],"preferred":false,"id":915185,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bardou, Remi","contributorId":274822,"corporation":false,"usgs":false,"family":"Bardou","given":"Remi","affiliations":[{"id":56654,"text":"Northeastern University Marine Science Center, 430 Nahant Rd, Nahant, Massachusetts, USA","active":true,"usgs":false}],"preferred":false,"id":915186,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Scyphers, Steven B.","contributorId":274810,"corporation":false,"usgs":false,"family":"Scyphers","given":"Steven","middleInitial":"B.","affiliations":[{"id":56654,"text":"Northeastern University Marine Science Center, 430 Nahant Rd, Nahant, Massachusetts, USA","active":true,"usgs":false}],"preferred":false,"id":915187,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70266244,"text":"70266244 - 2025 - Developing a range-wide sampling framework for endangered species: A case study with light-footed Ridgway’s rail","interactions":[],"lastModifiedDate":"2025-05-02T16:00:17.162585","indexId":"70266244","displayToPublicDate":"2024-08-29T00:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1006,"text":"Biodiversity and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Developing a range-wide sampling framework for endangered species: A case study with light-footed Ridgway’s rail","docAbstract":"<p>Monitoring provides the foundation for evaluating recovery of endangered species, yet many species lack monitoring programs designed to integrate a species’ unique attributes, specific monitoring objectives, and principles of statistical sampling theory. We developed a framework for monitoring and assessment of endangered light-footed Ridgway’s rails (<i>Rallus obsoletus levipes</i>) across their U.S. range, relative to multi-scale recovery goals. We created spatially explicit sample units and a sampling frame covering all potential habitat to facilitate range-wide probability sampling, and also built a model of the call-broadcast process commonly used to survey marsh birds that included heterogeneity in availability for detection and conditional detectability for each bird during each survey. We used the model to simulate 96 sampling strategies that included different levels of replication, multiple approaches for sample allocation amongst strata, and both simple random and weighted probability sampling (i.e., weights proportional to local rail abundance) of sample units within strata. Effective monitoring surveyed ≥20–30% of the sampling frame on ≥3 occasions, with weighted sample selection and more targeted sampling (50% of units) for strata that are key to species recovery. We also tested Bayesian N-mixture models for estimating abundance and show that multiple models provide reasonable estimates. This work lays the foundation for statistical sampling and multi-scale population estimation for an endangered bird, and for refinement of abundance estimation models. Moreover, this work provides a replicable process for building customized and statistically defensible sampling frameworks to assess recovery of endangered species that can used for other sensitive species.</p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s10531-024-02919-5","usgsCitation":"Stevens, B.S., Conway, C.J., Sawyer, K.A., Kershek, L., Block, G., Hamilton, S.E., and Kolstrom, R., 2025, Developing a range-wide sampling framework for endangered species: A case study with light-footed Ridgway’s rail: Biodiversity and Conservation, v. 33, p. 3703-3726, https://doi.org/10.1007/s10531-024-02919-5.","productDescription":"24 p.","startPage":"3703","endPage":"3726","ipdsId":"IP-158842","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":487934,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1007/s10531-024-02919-5","text":"Publisher Index Page"},{"id":485343,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"southern California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -119.11985966366927,\n              34.43986019915313\n            ],\n            [\n              -119.11985966366927,\n              32.5790213915529\n            ],\n            [\n              -117.03786824500196,\n              32.5790213915529\n            ],\n            [\n              -117.03786824500196,\n              34.43986019915313\n            ],\n            [\n              -119.11985966366927,\n              34.43986019915313\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"33","noUsgsAuthors":false,"publicationDate":"2024-08-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Stevens, Bryan S.","contributorId":171809,"corporation":false,"usgs":false,"family":"Stevens","given":"Bryan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":935078,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":935079,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sawyer, Kimberley A.","contributorId":167850,"corporation":false,"usgs":true,"family":"Sawyer","given":"Kimberley","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":935080,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kershek, Lauren","contributorId":354083,"corporation":false,"usgs":false,"family":"Kershek","given":"Lauren","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":935081,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Block, Giselle","contributorId":139324,"corporation":false,"usgs":false,"family":"Block","given":"Giselle","email":"","affiliations":[{"id":6927,"text":"USFWS, National Wildlife Refuge System","active":true,"usgs":false}],"preferred":false,"id":935641,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hamilton, Sandra E.","contributorId":62318,"corporation":false,"usgs":true,"family":"Hamilton","given":"Sandra","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":935642,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kolstrom, Rebecca","contributorId":275658,"corporation":false,"usgs":false,"family":"Kolstrom","given":"Rebecca","email":"","affiliations":[],"preferred":false,"id":935643,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70258368,"text":"70258368 - 2025 - Quantitative support for the benefits of proactive management for wildlife disease control","interactions":[],"lastModifiedDate":"2025-02-11T15:40:16.139418","indexId":"70258368","displayToPublicDate":"2024-08-26T09:01:08","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Quantitative support for the benefits of proactive management for wildlife disease control","docAbstract":"<p><span>Finding effective pathogen mitigation strategies is one of the biggest challenges humans face today. In the context of wildlife, emerging infectious diseases have repeatedly caused widespread host morbidity and population declines of numerous taxa. In areas yet unaffected by a pathogen, a proactive management approach has the potential to minimize or prevent host mortality. However, typically critical information on disease dynamics in a novel host system is lacking, empirical evidence on efficacy of management interventions is limited, and there is a lack of validated predictive models. As such, quantitative support for identifying effective management interventions is largely absent, and the opportunity for proactive management is often missed. We considered the potential invasion of the chytrid fungus,&nbsp;</span><i>Batrachochytrium salamandrivorans</i><span>&nbsp;(Bsal), whose expected emergence in North America poses a severe threat to hundreds of salamander species in this global salamander biodiversity hotspot. We developed and parameterized a dynamic multistate occupancy model to forecast host and pathogen occurrence, following expected emergence of the pathogen, and evaluated the response of salamander populations to different management scenarios.&nbsp;Our model forecasted that taking no action is expected to be catastrophic to salamander populations. Proactive action was predicted to maximize host occupancy outcomes relative to wait-and-see reactive management, thus providing quantitative support for proactive management opportunities. The eradication of Bsal was unlikely under all the evaluated management options. Contrary to our expectations, even early pathogen detection had little effect on Bsal or host occupancy outcomes. Our results provide quantitative support that proactive management is the optimal strategy for promoting persistence of disease-threatened salamander populations. Our approach fills a critical gap by defining a framework for evaluating management options prior to pathogen invasion and can thus serve as a template for addressing novel disease threats that jeopardize wildlife and human health.</span></p>","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/cobi.14363","usgsCitation":"Bletz, M., Campbell Grant, E.H., and DiRenzo, G.V., 2025, Quantitative support for the benefits of proactive management for wildlife disease control: Conservation Biology, v. 39, no. 1, e14363, 15 p., https://doi.org/10.1111/cobi.14363.","productDescription":"e14363, 15 p.","ipdsId":"IP-152843","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":439191,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/cobi.14363","text":"Publisher Index Page"},{"id":434764,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-08-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Bletz, Molly","contributorId":344177,"corporation":false,"usgs":false,"family":"Bletz","given":"Molly","affiliations":[{"id":37062,"text":"UMASS","active":true,"usgs":false}],"preferred":false,"id":913080,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":913081,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DiRenzo, Graziella Vittoria 0000-0001-5264-4762","orcid":"https://orcid.org/0000-0001-5264-4762","contributorId":243404,"corporation":false,"usgs":true,"family":"DiRenzo","given":"Graziella","email":"","middleInitial":"Vittoria","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":913082,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70258689,"text":"70258689 - 2025 - The impact of source time function complexity on stress drop estimates","interactions":[],"lastModifiedDate":"2025-05-27T15:25:26.492334","indexId":"70258689","displayToPublicDate":"2024-08-21T07:07:34","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"The impact of source time function complexity on stress drop estimates","docAbstract":"<div class=\"\"><div id=\"145577550\" class=\"article-section-wrapper js-article-section js-content-section  \" data-section-parent-id=\"0\"><p>Earthquake stress drop—a key parameter for describing the energetics of earthquake rupture—can be estimated in several different, but theoretically equivalent, ways. However, independent estimates for the same earthquakes sometimes differ significantly. We find that earthquake source complexity plays a significant role in why theoretically (for simple rupture models) equivalent methods produce different estimates. We apply time‐ and frequency‐domain methods to estimate stress drops for real earthquakes in the SCARDEC (Seismic source ChAracteristics Retrieved from DEConvolving teleseismic body waves,<span>&nbsp;</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf36\">Vallée and Douet, 2016</a>) source time function (STF) database and analyze how rupture complexity drives stress‐drop estimate discrepancies. Specifically, we identify two complexity metrics—Brune relative energy (BRE) and spectral decay—that parameterize an earthquake’s complexity relative to the standard Brune model and strongly correlate with the estimate discrepancies. We find that the observed systematic magnitude–stress‐drop trends may reflect underlying changes in STF complexity, not necessarily trends in actual stress drop. Both the decay and BRE parameters vary systematically with magnitude, but whether this magnitude–complexity relationship is real remains unresolved.</p></div></div>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120240022","usgsCitation":"Neely, J.S., Park, S., and Baltay Sundstrom, A.S., 2025, The impact of source time function complexity on stress drop estimates: Bulletin of the Seismological Society of America, v. 115, no. 3, p. 1149-1161, https://doi.org/10.1785/0120240022.","productDescription":"13 p.","startPage":"1149","endPage":"1161","ipdsId":"IP-163150","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":462176,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"115","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-08-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Neely, James S.","contributorId":263454,"corporation":false,"usgs":false,"family":"Neely","given":"James","email":"","middleInitial":"S.","affiliations":[{"id":25254,"text":"Northwestern University","active":true,"usgs":false}],"preferred":false,"id":913714,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Park, Sunyoung","contributorId":344424,"corporation":false,"usgs":false,"family":"Park","given":"Sunyoung","email":"","affiliations":[{"id":36705,"text":"University of Chicago","active":true,"usgs":false}],"preferred":false,"id":913715,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baltay Sundstrom, Annemarie S. 0000-0002-6514-852X abaltay@usgs.gov","orcid":"https://orcid.org/0000-0002-6514-852X","contributorId":4932,"corporation":false,"usgs":true,"family":"Baltay Sundstrom","given":"Annemarie","email":"abaltay@usgs.gov","middleInitial":"S.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":913716,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70262566,"text":"70262566 - 2025 - Balancing ecology and practicality to rank waterbodies for preventative invasive species management","interactions":[],"lastModifiedDate":"2025-01-21T16:38:29.384752","indexId":"70262566","displayToPublicDate":"2024-08-06T10:26:28","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9977,"text":"Ecological Solutions and Evidence","active":true,"publicationSubtype":{"id":10}},"title":"Balancing ecology and practicality to rank waterbodies for preventative invasive species management","docAbstract":"<ol class=\"\"><li>‘Early detection and rapid response’ (EDRR) is the most successful framework for preventative invasive species management, but prioritizing localized EDRR actions with limited resources is challenging. An approach that ranks individual locations, such as waterbodies, for EDRR by combining an invasive species' establishment risk with the practicality of managing it could help set reasonable priorities.</li><li>Here, we worked with regional practitioners in Arkansas, USA, and the broader Southeastern USA to co-produce a workflow for preventative aquatic invasive species management that (1) estimates establishment risk under current and future climates with a species distribution model, (2) scores waterbodies according to difficulty of eradicating an aquatic invasive species if it were introduced and (3) combines establishment risk and eradication difficulty scores to rank waterbodies according to preventative management priority. As our focal species, we used giant salvinia (<i>Salvinia molesta</i>), a floating aquatic fern ranked among the worst weeds in the world due to its negative socio-ecological impacts and difficulty to eradicate once established.</li><li>Current establishment risk is low for much of our study area, but under future climate scenarios (RCP 8.5), areas with &gt;60% giant salvinia establishment risk increased from 546 km<sup>2</sup><span>&nbsp;</span>to 30,219 km<sup>2</sup><span>&nbsp;</span>between 2023 and 2040 in Arkansas.</li><li>We found giant salvinia establishment risk and eradication difficulty are independent of each other (<i>r</i> = 0.28), and it follows that, alone, early detection tools such as species distribution models are insufficient for managers to prioritize sites for EDRR.</li><li><i>Practical implication</i>: We envision our approach fitting into a potential EDRR workflow that cascades from broad- to local-scale. To illustrate, (1) horizon scanning and/or climate matching generates lists of high-risk invasive species; (2) species lists are narrowed according to eradication feasibility scores; (3) for all remaining species, all waterbodies across a geography of interest receive prioritization rankings based on establishment risk and eradication difficulty scores. Given that climate change makes predicting invasive species' distributions a moving target, combining co-produced eradication difficulty scoring with species distribution modelling will balance rigour with practicality when prioritizing locations for EDRR.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1002/2688-8319.12362","usgsCitation":"Roberts, C.P., Grant, W., Horton, M., LaBrie, L.A., Peterson, M., Rogosch, J.S., and Wang, H., 2025, Balancing ecology and practicality to rank waterbodies for preventative invasive species management: Ecological Solutions and Evidence, v. 5, no. 3, e12362, 15 p., https://doi.org/10.1002/2688-8319.12362.","productDescription":"e12362, 15 p.","ipdsId":"IP-162789","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":481037,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2688-8319.12362","text":"Publisher Index Page"},{"id":480833,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Louisiana, Mississippi, Missouri, Oklahoma, Tennessee, Texas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88.73568703255195,\n              28.607717311343364\n            ],\n            [\n              -88.37813816656555,\n              30.102428374066577\n            ],\n            [\n              -89.62246350130985,\n              30.416822742847643\n            ],\n            [\n              -89.83391270505314,\n              30.9795777752782\n            ],\n            [\n              -90.46723103123068,\n              31.793376454744887\n            ],\n            [\n              -88.34979350352083,\n              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University","active":true,"usgs":false}],"preferred":false,"id":924563,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Horton, Matthew L.","contributorId":349675,"corporation":false,"usgs":false,"family":"Horton","given":"Matthew L.","affiliations":[{"id":81696,"text":"Arkansas Game & Fish Commission","active":true,"usgs":false}],"preferred":false,"id":924564,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"LaBrie, Lindsey A.P.","contributorId":349677,"corporation":false,"usgs":false,"family":"LaBrie","given":"Lindsey","middleInitial":"A.P.","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":924565,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Peterson, Miranda R.","contributorId":349679,"corporation":false,"usgs":false,"family":"Peterson","given":"Miranda R.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":924566,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rogosch, Jane S. 0000-0002-1748-4991","orcid":"https://orcid.org/0000-0002-1748-4991","contributorId":317717,"corporation":false,"usgs":true,"family":"Rogosch","given":"Jane","middleInitial":"S.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":924567,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wang, Hsiao-Hsuan","contributorId":349683,"corporation":false,"usgs":false,"family":"Wang","given":"Hsiao-Hsuan","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":924568,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70261766,"text":"70261766 - 2025 - How does the onset of offset influence geologic slip rates?","interactions":[],"lastModifiedDate":"2025-01-13T16:25:54.09362","indexId":"70261766","displayToPublicDate":"2024-07-31T09:48:50","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"How does the onset of offset influence geologic slip rates?","docAbstract":"<p><span>Geologic slip rates are typically based on the displacement accrued by a geomorphic or stratigraphic feature and the age of the offset feature. Because slip rates are commonly calculated by dividing the displacement of a faulted marker by its age, they contain two open time intervals: the elapsed time between the age of an offset feature and the age of the earthquake that displaced the feature, and the time between the present‐day and the most recent earthquake. Here, we explore the influence of including unconstrained open intervals in geologic slip rate calculations. We test the degree to which these open intervals affect geologic slip rates and their uncertainties, and we find that their influence depends primarily on mean earthquake recurrence intervals (RIs). Slip rates on faults with longer RIs, such as the Wasatch fault, can be greatly influenced by an increase of up to 20% when accounting for open intervals. In contrast, slip rates on faults with shorter RIs, such as the San Andreas fault, are only slightly influenced by the assumption that slip rates calculated over open intervals approximate those calculated over closed intervals. Our analyses indicate that faults with moderate slip rates (∼0.2–5&nbsp;mm/yr) are sensitive to both open interval effects themselves, as well as methods to quantify and account for these effects. We re‐evaluate how slip rates are calculated and defined in displacement–time space using published deformation records. We explore the utility of assigning a probability distribution to the initiation of offset of the oldest faulted feature and the timing of the most recent earthquake (MRE). We find that calculating geologic slip rates without using probability distributions that capture the timing of the MRE and the onset of offset of the oldest faulted feature, especially on slow‐to‐moderate slip rate faults, can lead to systematic underestimation of average geologic slip rates.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220240096","usgsCitation":"Hatem, A.E., Briggs, R.W., and Gold, R.D., 2025, How does the onset of offset influence geologic slip rates?: Seismological Research Letters, v. 96, no. 1, p. 363-376, https://doi.org/10.1785/0220240096.","productDescription":"14 p.","startPage":"363","endPage":"376","ipdsId":"IP-166437","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":465401,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"96","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-07-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Hatem, Alexandra Elise 0000-0001-7584-2235","orcid":"https://orcid.org/0000-0001-7584-2235","contributorId":225597,"corporation":false,"usgs":true,"family":"Hatem","given":"Alexandra","email":"","middleInitial":"Elise","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":921680,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":4136,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":921681,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gold, Ryan D. 0000-0002-4464-6394 rgold@usgs.gov","orcid":"https://orcid.org/0000-0002-4464-6394","contributorId":3883,"corporation":false,"usgs":true,"family":"Gold","given":"Ryan","email":"rgold@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":921682,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70263329,"text":"70263329 - 2025 - Inconsistent transcriptomic responses to hexabromocyclododecane in Japanese quail: A comparative analysis of results from four different study designs","interactions":[],"lastModifiedDate":"2025-09-09T14:34:31.082546","indexId":"70263329","displayToPublicDate":"2024-07-29T10:20:19","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Inconsistent transcriptomic responses to hexabromocyclododecane in Japanese quail: A comparative analysis of results from four different study designs","docAbstract":"<p><span>Efforts to use transcriptomics for toxicity testing have classically relied on the assumption that chemicals consistently produce characteristic transcriptomic signatures that are reflective of their mechanism of action. However, the degree to which transcriptomic responses are conserved across different test methodologies has seldom been explored. With increasing regulatory demand for New Approach Methods (NAMs) that use alternatives to animal models and high‐content approaches such as transcriptomics, this type of comparative analysis is needed. We examined whether common genes are dysregulated in Japanese quail (</span><i>Coturnix japonica</i><span>) liver following sublethal exposure to the flame retardant hexabromocyclododecane (HBCD), when life stage and test methodologies differ. The four exposure scenarios included one NAM: Study 1—early‐life stage (ELS) exposure via a single egg injection, and three more traditional approaches; Study 2—adult exposure using a single oral gavage; Study 3—ELS exposure via maternal deposition after adults were exposed through their diet for 7 weeks; and Study 4—ELS exposure via maternal deposition and re‐exposure of nestlings through their diet for 17 weeks. The total number of differentially expressed genes (DEGs) detected in each study was variable (Study 1, 550; Study 2, 192; Study 3, 1; Study 4, 3) with only 19 DEGs shared between Studies 1 and 2. Factors contributing to this lack of concordance are discussed and include differences in dose, but also quail strain, exposure route, sampling time, and HBCD stereoisomer composition. The results provide a detailed overview of the transcriptomic responses to HBCD at different life stages and routes of exposure in a model avian species and highlight certain challenges and limits of comparing transcriptomics across different test methodologies.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1002/etc.5955","usgsCitation":"Béziers, P., Legrand, E., Boulanger, E., Basu, N., Ewald, J., Henry, P.F., Hecker, M., Xia, J., Karouna-Renier, N., Crump, D., and Head, J.A., 2025, Inconsistent transcriptomic responses to hexabromocyclododecane in Japanese quail: A comparative analysis of results from four different study designs: Environmental Toxicology and Chemistry, v. 44, no. 9, p. 2524-2534, https://doi.org/10.1002/etc.5955.","productDescription":"11 p.","startPage":"2524","endPage":"2534","ipdsId":"IP-141285","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":481753,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":487625,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/etc.5955","text":"Publisher Index Page"}],"volume":"44","issue":"9","noUsgsAuthors":false,"publicationDate":"2024-07-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Béziers, Paul 0000-0003-4602-0026","orcid":"https://orcid.org/0000-0003-4602-0026","contributorId":350604,"corporation":false,"usgs":false,"family":"Béziers","given":"Paul","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":926407,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Legrand, Elena 0000-0002-0473-2220","orcid":"https://orcid.org/0000-0002-0473-2220","contributorId":350605,"corporation":false,"usgs":false,"family":"Legrand","given":"Elena","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":926408,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boulanger, Emily 0000-0003-0017-0117","orcid":"https://orcid.org/0000-0003-0017-0117","contributorId":350606,"corporation":false,"usgs":false,"family":"Boulanger","given":"Emily","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":926409,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Basu, Niladri","contributorId":60085,"corporation":false,"usgs":false,"family":"Basu","given":"Niladri","email":"","affiliations":[],"preferred":false,"id":926410,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ewald, Jessica","contributorId":350607,"corporation":false,"usgs":false,"family":"Ewald","given":"Jessica","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":926411,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Henry, Paula F. P. 0000-0002-7601-5546 phenry@usgs.gov","orcid":"https://orcid.org/0000-0002-7601-5546","contributorId":4485,"corporation":false,"usgs":true,"family":"Henry","given":"Paula","email":"phenry@usgs.gov","middleInitial":"F. P.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":926412,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hecker, Marcus 0000-0002-7237-6192","orcid":"https://orcid.org/0000-0002-7237-6192","contributorId":350608,"corporation":false,"usgs":false,"family":"Hecker","given":"Marcus","affiliations":[{"id":13248,"text":"University of Saskatchewan","active":true,"usgs":false}],"preferred":false,"id":926413,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Xia, Jianguo","contributorId":350669,"corporation":false,"usgs":false,"family":"Xia","given":"Jianguo","affiliations":[],"preferred":false,"id":926414,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Karouna-Renier, Natalie 0000-0001-7127-033X nkarouna@usgs.gov","orcid":"https://orcid.org/0000-0001-7127-033X","contributorId":200983,"corporation":false,"usgs":true,"family":"Karouna-Renier","given":"Natalie","email":"nkarouna@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":926415,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Crump, Doug 0000-0003-2915-4989","orcid":"https://orcid.org/0000-0003-2915-4989","contributorId":350610,"corporation":false,"usgs":false,"family":"Crump","given":"Doug","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":926416,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Head, Jessica A.","contributorId":206108,"corporation":false,"usgs":false,"family":"Head","given":"Jessica","email":"","middleInitial":"A.","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":926417,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70269010,"text":"70269010 - 2025 - Evaluating mountain lion diet before and after a removal of feral horses in a semiarid environment","interactions":[],"lastModifiedDate":"2025-07-14T15:04:20.934874","indexId":"70269010","displayToPublicDate":"2024-07-24T07:55:58","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":"Evaluating mountain lion diet before and after a removal of feral horses in a semiarid environment","docAbstract":"<p><span>Non-native species can affect ecosystems by influencing native predator-prey dynamics. Therefore, management interventions designed to remove non-natives may inadvertently lead to increased predation on native species. Feral horses are widely distributed throughout the arid parts of western North America. A growing body of research indicates that horses can be an important prey species to mountain lions in ecosystems where they overlap. In December 2020, the Bureau of Land Management removed 455 horses from the Delamar Mountains, Nevada, USA. We leveraged this management intervention to implement a before–after–control–impact&nbsp;study to test hypotheses about predation on horses and native ungulates. We predicted (1) that horses would comprise an important part of the diet in this mixed-prey community, (2) following removal, the proportion of horses in the diet would decrease and native ungulates would increase, and (3) mountain lion home ranges overlapping the treatment areas would increase in response to decreased prey availability. From 2018 to 2022, we investigated 1360 clusters from 29 GPS-collared lions and identified 1056 prey items. To model the probability of a predation event (a kill), we fit a mixed-effects logistic regression model for ungulate prey as a function of lion sex, treatment area (in/out), and treatment period (pre-/post-removal). We used a log-linear regression model to evaluate changes in home range size. The most common prey were mule deer (55%), feral horses (32%), and coyotes (4%). Twenty-two of 29 lions consumed horses, although the rate of horse consumption was highly variable across individuals. Horses of both sexes and all age classes were predated. In contrast to predictions, our models detected no effect of removals on diet composition (β</span><sub>interaction</sub><span> = 0.30 ± 1.1), nor did the removal influence home range size (β</span><sub>interaction</sub><span> = 0.02 ± 0.02). Despite a 46% reduction in horse abundance, we found no evidence for prey-switching following the horse removal treatment. Removal magnitude, rapid horse immigration, and/or behavioral specialization of individual mountain lions may help explain these results. Our findings have important implications for mountain lion and feral horse management in arid environments characterized by high prey diversity, but low prey abundance.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.4919","usgsCitation":"Iacono, P., Schoenecker, K., Manlove, K., Jackson, P., and Stoner, D., 2025, Evaluating mountain lion diet before and after a removal of feral horses in a semiarid environment: Ecosphere, v. 15, no. 7, e4919, 17 p., https://doi.org/10.1002/ecs2.4919.","productDescription":"e4919, 17 p.","ipdsId":"IP-152802","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":492800,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13IGZUV","text":"USGS data release","linkHelpText":"Data describing species consumed by mountain lions during predation events in eastern Nevada, USA, 2018 to 2022"},{"id":492490,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4919","text":"Publisher Index Page"},{"id":492207,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Delamar Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -114.96404930464747,\n              37.701217299863885\n            ],\n            [\n              -114.96404930464747,\n              36.938309102465794\n            ],\n            [\n              -113.99716161775578,\n              36.938309102465794\n            ],\n            [\n              -113.99716161775578,\n              37.701217299863885\n            ],\n            [\n              -114.96404930464747,\n              37.701217299863885\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","issue":"7","noUsgsAuthors":false,"publicationDate":"2024-07-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Iacono, Peter C.","contributorId":357949,"corporation":false,"usgs":false,"family":"Iacono","given":"Peter C.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":942901,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schoenecker, Kathryn A. 0000-0001-9906-911X","orcid":"https://orcid.org/0000-0001-9906-911X","contributorId":202531,"corporation":false,"usgs":true,"family":"Schoenecker","given":"Kathryn A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":942902,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Manlove, Kezia R.","contributorId":357951,"corporation":false,"usgs":false,"family":"Manlove","given":"Kezia R.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":942903,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jackson, Pat J.","contributorId":357953,"corporation":false,"usgs":false,"family":"Jackson","given":"Pat J.","affiliations":[{"id":27489,"text":"Nevada Department of Wildlife","active":true,"usgs":false}],"preferred":false,"id":942904,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stoner, David C.","contributorId":357955,"corporation":false,"usgs":false,"family":"Stoner","given":"David C.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false},{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":942905,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70268780,"text":"70268780 - 2025 - Spaceborne imaging spectroscopy enables carbon trait estimation in cover crop and cash crop residues","interactions":[],"lastModifiedDate":"2025-07-08T17:25:42.067225","indexId":"70268780","displayToPublicDate":"2024-06-27T00:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":21985,"text":"Precision Agriculture","active":true,"publicationSubtype":{"id":10}},"title":"Spaceborne imaging spectroscopy enables carbon trait estimation in cover crop and cash crop residues","docAbstract":"<p>Purpose</p><p>Cover crops and reduced tillage are two key climate smart agricultural practices that can provide agroecosystem services including improved soil health, increased soil carbon sequestration, and reduced fertilizer needs. Crop residue carbon traits (i.e., lignin, holocellulose, non-structural carbohydrates) and nitrogen concentrations largely mediate decomposition rates and amount of plant-available nitrogen accessible to cash crops and determine soil carbon residence time. Non-destructive approaches to quantify these important traits are possible using spectroscopy.</p><p>Methods</p><p>The objective of this study was to quantify cash and cover crop residue nitrogen and carbon traits using partial least squares regression models and a combination of 1) the band equivalent reflectance (BER) of the PRecursore IperSpettrale della Missione Applicativa (PRISMA) imaging spectroscopy sensor derived from laboratory collected ASD spectra (n = 296) of 11 cover crop species and three cash crop species, and 2) spaceborne PRISMA imagery that coincided with destructive crop residue collections in the spring of 2022 (n = 65). Spectral range was constrained to 1200 to 2400nm to reduce the likelihood of confounding relationships in wavelengths sensitive to plant pigments or those related to canopy structure for both analytical approaches.</p><p>Results</p><p>Models using laboratory BER of PRISMA all demonstrated high accuracies and low errors for estimation of nitrogen and carbon traits (adj. R2 = 0.86 – 0.98; RMSE = 0.24 – 4.25%) and results suggest that a single model may be used for a given trait across all species. Models using spaceborne imaging spectroscopy demonstrated that crop residue carbon traits can be successfully estimated using PRISMA imagery (adj. R2 = 0.65 – 0.75; RMSE = 2.71 – 4.16%). We found moderate relationships between nitrogen concentration and PRISMA imagery (adj. R2 = 0.52; RMSE = 0.25%), which is partly related to the range of nitrogen in these senesced crop residues (0.38 – 1.85%). PRISMA imagery models were also impacted by atmospheric absorption, variability in surface moisture content, and some presence of green vegetation. </p><p>Conclusion</p><p>As spaceborne imaging spectroscopy data become more widely available from upcoming missions, crop residue trait estimates could be regularly generated and integrated into decision support tools to calculate decomposition rates and associated nitrogen credits to inform precision field management, as well as to enable measurement, monitoring, reporting, and verification of net carbon benefits from climate smart agricultural practice adoption in an emerging carbon marketplace.</p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s11119-024-10159-4","usgsCitation":"Jennewein, J., Hively, W.D., Lamb, B.T., Daughtry, C.S., Thapa, R., Thieme, A., Reberg-Horton, C., and Mirsky, S., 2025, Spaceborne imaging spectroscopy enables carbon trait estimation in cover crop and cash crop residues: Precision 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,{"id":70262587,"text":"70262587 - 2025 - Turbidite correlation for paleoseismology","interactions":[],"lastModifiedDate":"2025-01-21T16:10:19.776654","indexId":"70262587","displayToPublicDate":"2024-06-18T10:01:45","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Turbidite correlation for paleoseismology","docAbstract":"<p><span>Marine turbidite paleoseismology relies on the assumption of synchronous triggering of turbidity currents by earthquake shaking to infer rupture extent and recurrence. Such inference commonly depends on age dating and correlation of the physical stratigraphy of deposits carried by turbidity currents (i.e., turbidites) across great distances. Along the Cascadia subduction zone, which lies offshore the Pacific Northwest, USA, turbidite facies in core photographs, X-ray computed tomography images, and magnetic susceptibility (MS) data exhibit differences in character over relatively short distances, which implies that not all deposits can be correlated with confidence. Thus, subjective correlation based on expected similarity over great distances and weak age constraints does not independently support paleoseismic models. We present a new method for correlating turbidites along the Cascadia margin that can yield a more objective and repeatable stratigraphic framework to underpin earthquake recurrence. We use dynamic time warping to correlate MS logs and measure correlation coefficients of core pairs to evaluate correlation strength. We then compare these measures to a distribution of correlation coefficients of randomly generated turbidite sequences and find that only a small number of core pairs can be correlated more confidently than randomly stacked turbidites. This methodology promises a more robust correlation strategy for future stratigraphic studies.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/B37343.1","usgsCitation":"Nieminski, N.M., Sylvester, Z., Covault, J., Gomberg, J.S., Staisch, L.M., and McBrearty, I., 2025, Turbidite correlation for paleoseismology: Geological Society of America Bulletin, v. 137, no. 1-2, p. 29-40, https://doi.org/10.1130/B37343.1.","productDescription":"12 p.","startPage":"29","endPage":"40","ipdsId":"IP-155495","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":481038,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/b37343.1","text":"Publisher Index Page"},{"id":480831,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -123.26453789074651,\n              48.071035359833985\n            ],\n            [\n              -127.39602874177069,\n              48.071035359833985\n            ],\n            [\n              -127.39602874177069,\n              41.99234863119753\n            ],\n            [\n              -123.26453789074651,\n              41.99234863119753\n            ],\n            [\n              -123.26453789074651,\n              48.071035359833985\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"137","issue":"1-2","noUsgsAuthors":false,"publicationDate":"2024-06-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Nieminski, Nora M.","contributorId":216510,"corporation":false,"usgs":false,"family":"Nieminski","given":"Nora","email":"","middleInitial":"M.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":924622,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sylvester, Zoltan","contributorId":349708,"corporation":false,"usgs":false,"family":"Sylvester","given":"Zoltan","affiliations":[{"id":13603,"text":"University of Texas, Austin","active":true,"usgs":false}],"preferred":false,"id":924623,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Covault, Jake","contributorId":349709,"corporation":false,"usgs":false,"family":"Covault","given":"Jake","affiliations":[{"id":13603,"text":"University of Texas, Austin","active":true,"usgs":false}],"preferred":false,"id":924624,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gomberg, Joan S. 0000-0002-0134-2606 gomberg@usgs.gov","orcid":"https://orcid.org/0000-0002-0134-2606","contributorId":1269,"corporation":false,"usgs":true,"family":"Gomberg","given":"Joan","email":"gomberg@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":924625,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Staisch, Lydia M. 0000-0002-1414-5994 lstaisch@usgs.gov","orcid":"https://orcid.org/0000-0002-1414-5994","contributorId":167068,"corporation":false,"usgs":true,"family":"Staisch","given":"Lydia","email":"lstaisch@usgs.gov","middleInitial":"M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":924626,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McBrearty, Ian","contributorId":242933,"corporation":false,"usgs":false,"family":"McBrearty","given":"Ian","email":"","affiliations":[{"id":48588,"text":"Los Alamos National Lab","active":true,"usgs":false}],"preferred":false,"id":924627,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70263241,"text":"70263241 - 2025 - Hydrodynamic and salinity tesponse to tidal restoration in the Herring River Estuary, MA, considering present and future sea levels","interactions":[],"lastModifiedDate":"2025-02-03T14:58:38.887466","indexId":"70263241","displayToPublicDate":"2024-05-16T08:53:04","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Hydrodynamic and salinity tesponse to tidal restoration in the Herring River Estuary, MA, considering present and future sea levels","docAbstract":"<p><span>Coastal salt marshes are crucial ecosystems that provide habitat for a variety of species, improve water quality, and play a major role in the global carbon cycle. However, many salt marshes have been severely damaged by human activities such as diking and draining for urban development. Recently, there has been a noticeable shift toward the prioritization of coastal marsh restoration to re-establish their ecosystem services. The removal of anthropogenic barriers such as dikes, sluices, and culverts is a critical component of many projects because it allows for the restoration of tidal flow to support natural hydrologic regimes and salinity conditions, which play a dominant role in determining the ecological and biogeochemical functioning of marshes. This study examines how proposed removal of hydraulic structures will influence the hydrologic potential for marsh restoration in the Herring River Estuary in Cape Cod, Massachusetts, USA. Construction of dikes, roadways, and low-capacity culverts over the last century has substantially restricted tidal flow in the Herring River Estuary, leading to degradation of salt marsh habitat. The estuary is now undergoing the first phase of a restoration project to re-introduce natural hydrologic conditions, increase salinity, and restore salt marsh habitat. To assess how the Herring River Estuary will respond to human- and climate-driven modifications, we develop and apply a validated hydrodynamic model to simulate the complex tidal and salinity dynamics of the estuary under a range of restoration and sea level rise scenarios. We then quantify how salinity and critical hydrologic variables, including tidal range and depth of mean high water, will evolve for various restoration scenarios considering present and future sea levels. The results of this research can inform coastal management and restoration plans that re-create the natural functioning of the system while protecting critical infrastructure and reducing the risk of restoration failure.</span></p>","conferenceTitle":"World Environmental and Water Resources Congress 2024","conferenceDate":"May 19-22, 2024","conferenceLocation":"Milwaukee, WI","language":"English","publisher":"ASCE","doi":"10.1061/9780784485477.065","usgsCitation":"Naseri, K., Hummel, M.A., Befus, K.M., Smith, T.P., Eagle, M.J., and Kroeger, K.D., 2025, Hydrodynamic and salinity tesponse to tidal restoration in the Herring River Estuary, MA, considering present and future sea levels, World Environmental and Water Resources Congress 2024, Milwaukee, WI, May 19-22, 2024, p. 739-751, https://doi.org/10.1061/9780784485477.065.","productDescription":"15 p.","startPage":"739","endPage":"751","ipdsId":"IP-166785","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":481600,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Herring River Estuary","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -70.03563796878046,\n              41.96028204250854\n            ],\n            [\n              -70.057717500137,\n              41.95553185904734\n            ],\n            [\n              -70.06507734392336,\n              41.929296137234985\n            ],\n            [\n              -70.04758035680993,\n              41.930225912910544\n            ],\n            [\n              -70.05167687363391,\n              41.950367075905746\n            ],\n            [\n              -70.03601984746726,\n              41.95656377966937\n            ],\n            [\n              -70.03563796878046,\n              41.96028204250854\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationDate":"2024-05-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Naseri, Kasra","contributorId":350423,"corporation":false,"usgs":false,"family":"Naseri","given":"Kasra","affiliations":[{"id":12734,"text":"University of Texas at Arlington","active":true,"usgs":false}],"preferred":false,"id":925992,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hummel, Michelle A. 0000-0002-5524-2547","orcid":"https://orcid.org/0000-0002-5524-2547","contributorId":330478,"corporation":false,"usgs":false,"family":"Hummel","given":"Michelle","email":"","middleInitial":"A.","affiliations":[{"id":78907,"text":"University of Texas at Arlington, Arlington, TX USA","active":true,"usgs":false}],"preferred":false,"id":925993,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Befus, Kevin M.","contributorId":242636,"corporation":false,"usgs":false,"family":"Befus","given":"Kevin","email":"","middleInitial":"M.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":925994,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Timothy P.","contributorId":220144,"corporation":false,"usgs":false,"family":"Smith","given":"Timothy","email":"","middleInitial":"P.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":925995,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eagle, Meagan J. 0000-0001-5072-2755 meagle@usgs.gov","orcid":"https://orcid.org/0000-0001-5072-2755","contributorId":242890,"corporation":false,"usgs":true,"family":"Eagle","given":"Meagan","email":"meagle@usgs.gov","middleInitial":"J.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":925996,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kroeger, Kevin D. 0000-0002-4272-2349 kkroeger@usgs.gov","orcid":"https://orcid.org/0000-0002-4272-2349","contributorId":1603,"corporation":false,"usgs":true,"family":"Kroeger","given":"Kevin","email":"kkroeger@usgs.gov","middleInitial":"D.","affiliations":[{"id":41100,"text":"Coastal and Marine Hazards and Resources Program","active":true,"usgs":true}],"preferred":true,"id":925997,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70263408,"text":"70263408 - 2025 - GRAPES: Earthquake early warning by passing seismic vectors through the grapevine","interactions":[],"lastModifiedDate":"2025-02-10T16:32:01.595832","indexId":"70263408","displayToPublicDate":"2024-05-08T10:26:12","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":"GRAPES: Earthquake early warning by passing seismic vectors through the grapevine","docAbstract":"<p><span>Estimating an earthquake's magnitude and location may not be necessary to predict shaking in real time; instead, wavefield-based approaches predict shaking with few assumptions about the seismic source. Here, we introduce GRAph Prediction of Earthquake Shaking (GRAPES), a deep learning model trained to characterize and propagate earthquake shaking across a seismic network. We show that GRAPES’ internal activations, which we call “seismic vectors”, correspond to the arrival of distinct seismic phases. GRAPES builds upon recent deep learning models applied to earthquake early warning by allowing for continuous ground motion prediction with seismic networks of all sizes. While trained on earthquakes recorded in Japan, we show that GRAPES, without modification, outperforms the ShakeAlert earthquake early warning system on the 2019 M7.1 Ridgecrest, CA earthquake.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1029/2023GL107389","usgsCitation":"Clements, T., Cochran, E.S., Baltay Sundstrom, A.S., Minson, S.E., and Yoon, C., 2025, GRAPES: Earthquake early warning by passing seismic vectors through the grapevine: Geophysical Research Letters, v. 51, no. 9, e2023GL107389, 10 p., https://doi.org/10.1029/2023GL107389.","productDescription":"e2023GL107389, 10 p.","ipdsId":"IP-154593","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":487530,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023gl107389","text":"Publisher Index Page"},{"id":481874,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Japan","otherGeospatial":"Shimane/HiroshimaPrefectures","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              136,\n              36\n            ],\n            [\n              130,\n              36\n            ],\n            [\n              130,\n              32\n            ],\n            [\n              136,\n              32\n            ],\n            [\n              136,\n              36\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"51","issue":"9","noUsgsAuthors":false,"publicationDate":"2024-05-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Clements, Timothy Hugh 0000-0001-6632-1796","orcid":"https://orcid.org/0000-0001-6632-1796","contributorId":350753,"corporation":false,"usgs":true,"family":"Clements","given":"Timothy Hugh","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":926878,"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":926879,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baltay Sundstrom, Annemarie S. 0000-0002-6514-852X abaltay@usgs.gov","orcid":"https://orcid.org/0000-0002-6514-852X","contributorId":4932,"corporation":false,"usgs":true,"family":"Baltay Sundstrom","given":"Annemarie","email":"abaltay@usgs.gov","middleInitial":"S.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":926880,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Minson, Sarah E. 0000-0001-5869-3477 sminson@usgs.gov","orcid":"https://orcid.org/0000-0001-5869-3477","contributorId":5357,"corporation":false,"usgs":true,"family":"Minson","given":"Sarah","email":"sminson@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":926881,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yoon, Clara 0000-0003-4521-3889","orcid":"https://orcid.org/0000-0003-4521-3889","contributorId":222019,"corporation":false,"usgs":true,"family":"Yoon","given":"Clara","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":926882,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70262896,"text":"70262896 - 2025 - Quaternary-active faults and the role of inherited structures in the Sacramento-San Joaquin Delta, western Central Valley, northern California","interactions":[],"lastModifiedDate":"2025-01-28T14:57:43.316816","indexId":"70262896","displayToPublicDate":"2024-02-29T08:49:50","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":14442,"text":"Tektonika","active":true,"publicationSubtype":{"id":10}},"title":"Quaternary-active faults and the role of inherited structures in the Sacramento-San Joaquin Delta, western Central Valley, northern California","docAbstract":"<p><span>Seismic sources and their associated hazards within the Sacramento-San Joaquin Delta region of north-central California are relatively poorly characterized as compared to other, more heavily studied regions of northern California, such as the San Francisco Bay Area. Here we present a synthesis of subsurface, bedrock geology, and geodetic datasets from the Delta and from the Coast Ranges and Diablo Range to the northwest and southwest, respectively. We integrate these data and our own surface geologic and geomorphic observations to present a comprehensive review of faults in the Delta that exhibit Quaternary activity. Structural geologic data from the surrounding region highlight the significant influence that Late Cretaceous-to-Paleogene forearc structures exert on the geometry and kinematics of major Quaternary-active structures within the Delta. These inherited structures — including the Pittsburg-Kirby Hills Fault, Midland Fault, and Great Valley Fault System — exhibit a range of geometries and kinematics. Analysis of geomorphology along these structures suggests that these structures combine to accommodate Quaternary strain across the Delta region. A clearer understanding of subsurface geometries and structural relationships, built upon the regional tectonic history, provides insight into modern deformation accommodated on older structures and helps inform interpretations of seismic hazard within the Delta.</span></p>","language":"English","publisher":"University of Aberdeen","doi":"10.55575/tektonika2024.2.1.46","usgsCitation":"Trexler, C.C., Willard, J., and Philibosian, B.E., 2025, Quaternary-active faults and the role of inherited structures in the Sacramento-San Joaquin Delta, western Central Valley, northern California: Tektonika, v. 2, no. 1, https://doi.org/10.55575/tektonika2024.2.1.46.","productDescription":"28 p.","startPage":"67","ipdsId":"IP-145348","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":489890,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.55575/tektonika2024.2.1.46","text":"Publisher Index Page"},{"id":481405,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta, western Central Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122,\n              38.6667\n            ],\n            [\n              -122,\n              37.5\n            ],\n            [\n              -121,\n              37.5\n            ],\n            [\n              -121,\n              38.6667\n            ],\n            [\n              -122,\n              38.6667\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"2","issue":"1","edition":"40","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Trexler, Charles Cashman 0000-0001-5046-9729","orcid":"https://orcid.org/0000-0001-5046-9729","contributorId":257823,"corporation":false,"usgs":true,"family":"Trexler","given":"Charles","email":"","middleInitial":"Cashman","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":925221,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Willard, Jack 0000-0002-4653-7423","orcid":"https://orcid.org/0000-0002-4653-7423","contributorId":299663,"corporation":false,"usgs":false,"family":"Willard","given":"Jack","email":"","affiliations":[{"id":64922,"text":"Earthquake Science Center","active":true,"usgs":false}],"preferred":false,"id":925222,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Philibosian, Belle E. 0000-0003-3138-4716","orcid":"https://orcid.org/0000-0003-3138-4716","contributorId":206110,"corporation":false,"usgs":true,"family":"Philibosian","given":"Belle","email":"","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":925223,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70251770,"text":"70251770 - 2025 - Joint spatial modeling bridges the gap between disparate disease surveillance and population monitoring efforts informing conservation of at-risk bat species","interactions":[],"lastModifiedDate":"2025-03-11T14:43:11.049197","indexId":"70251770","displayToPublicDate":"2024-02-24T09:05:28","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9352,"text":"Journal of Agricultural, Biological and Environmental Statistics","active":true,"publicationSubtype":{"id":10}},"title":"Joint spatial modeling bridges the gap between disparate disease surveillance and population monitoring efforts informing conservation of at-risk bat species","docAbstract":"<p><span>White-Nose Syndrome (WNS) is a wildlife disease that has decimated hibernating bats since its introduction in North America in 2006. As the disease spreads westward, assessing the potentially differential impact of the disease on western bat species is an urgent conservation need. The statistical challenge is that the disease surveillance and species response monitoring data are not co-located, available at different spatial resolutions, non-Gaussian, and subject to observation error requiring a novel extension to spatially misaligned regression models for analysis. Previous work motivated by epidemiology applications has proposed two-step approaches that overcome the spatial misalignment while intentionally preventing the human health outcome from informing estimation of exposure. In our application, the impacted animals contribute to spreading the fungus that causes WNS, motivating development of a joint framework that exploits the known biological relationship. We introduce a Bayesian, joint spatial modeling framework that provides inferences about the impact of WNS on measures of relative bat activity and accounts for the uncertainty in estimation of WNS presence at non-surveyed locations. Our simulations demonstrate that the joint model produced more precise estimates of disease occurrence and unbiased estimates of the association between disease presence and the count response relative to competing two-step approaches. Our statistical framework provides a solution that leverages disparate monitoring activities and informs species conservation across large landscapes. Stan code and documentation are provided to facilitate access and adaptation for other wildlife disease applications.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s13253-023-00593-8","usgsCitation":"Stratton, C., Irvine, K., Banner, K., Almberg, E.S., Bachen, D., and Smucker, K., 2025, Joint spatial modeling bridges the gap between disparate disease surveillance and population monitoring efforts informing conservation of at-risk bat species: Journal of Agricultural, Biological and Environmental Statistics, v. 30, p. 120-145, https://doi.org/10.1007/s13253-023-00593-8.","productDescription":"26 p.","startPage":"120","endPage":"145","ipdsId":"IP-154743","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":440317,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s13253-023-00593-8","text":"Publisher Index Page"},{"id":426055,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","noUsgsAuthors":false,"publicationDate":"2024-02-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Stratton, Christian","contributorId":265905,"corporation":false,"usgs":false,"family":"Stratton","given":"Christian","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":895499,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Irvine, Kathryn 0000-0002-6426-940X","orcid":"https://orcid.org/0000-0002-6426-940X","contributorId":221555,"corporation":false,"usgs":true,"family":"Irvine","given":"Kathryn","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":895500,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Banner, Katharine M.","contributorId":244876,"corporation":false,"usgs":false,"family":"Banner","given":"Katharine M.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":895501,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Almberg, Emily S.","contributorId":198304,"corporation":false,"usgs":false,"family":"Almberg","given":"Emily","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":895502,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bachen, Daniel","contributorId":207015,"corporation":false,"usgs":false,"family":"Bachen","given":"Daniel","email":"","affiliations":[{"id":36895,"text":"Montana Natural Heritage Program","active":true,"usgs":false}],"preferred":false,"id":895503,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smucker, Kristina","contributorId":334394,"corporation":false,"usgs":false,"family":"Smucker","given":"Kristina","email":"","affiliations":[{"id":39047,"text":"Montana Fish, Wildlife, and Parks","active":true,"usgs":false}],"preferred":false,"id":895504,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70271395,"text":"70271395 - 2025 - 3D Dynamic rupture modeling of the 6 February 2023, Kahramanmaraş, Turkey Mw 7.8 and 7.7 earthquake doublet using early observations","interactions":[],"lastModifiedDate":"2025-09-11T14:30:00.058998","indexId":"70271395","displayToPublicDate":"2023-12-01T09:22:28","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10542,"text":"The Seismic Record","active":true,"publicationSubtype":{"id":10}},"displayTitle":"3D Dynamic rupture modeling of the 6 February 2023, Kahramanmaraş, Turkey M<sub>w</sub> 7.8 and 7.7 earthquake doublet using early observations","title":"3D Dynamic rupture modeling of the 6 February 2023, Kahramanmaraş, Turkey Mw 7.8 and 7.7 earthquake doublet using early observations","docAbstract":"<p><span>The 2023 Turkey earthquake sequence involved unexpected ruptures across numerous fault segments. We present 3D dynamic rupture simulations to illuminate the complex dynamics of the earthquake doublet. Our models are constrained by observations available within days of the sequence and deliver timely, mechanically consistent explanations of the unforeseen rupture paths, diverse rupture speeds, multiple slip episodes, heterogeneous fault offsets, locally strong shaking, and fault system interactions. Our simulations link both earthquakes, matching geodetic and seismic observations and reconciling regional seismotectonics, rupture dynamics, and ground motions of a fault system represented by 10 curved dipping segments and embedded in a heterogeneous stress field. The <i><strong>M</strong></i><sub>w</sub></span><span>&nbsp;7.8 earthquake features delayed backward branching from a steeply branching splay fault, not requiring supershear speeds. The asymmetrical dynamics of the distinct, bilateral <i><strong>M</strong></i><sub>w</sub></span><span>&nbsp;7.7 earthquake are explained by heterogeneous fault strength, prestress orientation, fracture energy, and static stress changes from the previous earthquake. Our models explain the northward deviation of its eastern rupture and the minimal slip observed on the Sürgü fault. 3D dynamic rupture scenarios can elucidate unexpected observations shortly after major earthquakes, providing timely insights for data‐driven analysis and hazard assessment toward a comprehensive, physically consistent understanding of the mechanics of multifault systems.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0320230028","collaboration":"Scripps Institution of Oceanography at UCSD; LMU Munich","usgsCitation":"Gabriel, A., Ulrich, T., Marchandon, M., Biemiller, J.B., and Rekoske, J., 2025, 3D Dynamic rupture modeling of the 6 February 2023, Kahramanmaraş, Turkey Mw 7.8 and 7.7 earthquake doublet using early observations: The Seismic Record, v. 3, no. 4, p. 342-356, https://doi.org/10.1785/0320230028.","productDescription":"15 p.","startPage":"342","endPage":"356","ipdsId":"IP-156921","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":495364,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0320230028","text":"Publisher Index Page"},{"id":495309,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Turkey","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              25.222044480407874,\n              41.70234913656259\n            ],\n            [\n              25.222044480407874,\n              35.876326576331095\n            ],\n            [\n              38.29831189096615,\n              35.876326576331095\n            ],\n            [\n              38.29831189096615,\n              41.70234913656259\n            ],\n            [\n              25.222044480407874,\n              41.70234913656259\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"3","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Gabriel, Alice-Agnes","contributorId":204611,"corporation":false,"usgs":false,"family":"Gabriel","given":"Alice-Agnes","email":"","affiliations":[{"id":36958,"text":"LMU Munich, Germany","active":true,"usgs":false}],"preferred":false,"id":948365,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ulrich, Thomas","contributorId":204613,"corporation":false,"usgs":false,"family":"Ulrich","given":"Thomas","email":"","affiliations":[{"id":36958,"text":"LMU Munich, Germany","active":true,"usgs":false}],"preferred":false,"id":948366,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marchandon, Mathilde","contributorId":361195,"corporation":false,"usgs":false,"family":"Marchandon","given":"Mathilde","affiliations":[{"id":78422,"text":"LMU Munich","active":true,"usgs":false}],"preferred":false,"id":948367,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Biemiller, James Burkhardt 0000-0001-6663-7811","orcid":"https://orcid.org/0000-0001-6663-7811","contributorId":343684,"corporation":false,"usgs":true,"family":"Biemiller","given":"James","email":"","middleInitial":"Burkhardt","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":948368,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rekoske, John","contributorId":361197,"corporation":false,"usgs":false,"family":"Rekoske","given":"John","affiliations":[{"id":39679,"text":"Scripps Institution of Oceanography, UCSD","active":true,"usgs":false}],"preferred":false,"id":948369,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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